-74813b3e17f460286df-2cbf 20220509081720074 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 02 28 2020 4 9 Department of ECE, Maharaja Agrasen Institute of Technology(MAIT) affiliated to GGSIP University, Delhi, India. Anamika Jain* Prof. Neeta Pandey Department of ECE, Delhi Technological University(DTU) Delhi University, Delhi, India. This paper presents a new algorithm for computing Discrete Hartley Transform (DHT) (type-2) of N with N=4r, where r>1.Paper also suggest VLSI architecture for the implementation of the newly developed algorithm. The computation of DHT using this algorithm is simple and requires less arithmetic operations compared with the general method for finding DHT. Also the suggested VLSI structure for the algorithm is regular and less complicated in terms of hardware requirement. Parallel processing of the algorithm make the processing further fast. 02 28 2020 2908 2912 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1910.029420 https://www.ijitee.org/portfolio-item/D1910029420/ Assistant Professor, Computer Science and Engineering, AIJHM College, Rohtak, India Ms. Tarika Verma* Dr. Nasib Singh Gill Professor, Dept. of CS & Applications, M. D. University, Rohtak, India. A lot of data is generated on daily basis which may potentially be useful. This data is generally unstructured and ambiguous to draw a meaning from it. High quality of information can be extracted from this potentially useful data typically through devising of patterns and trends in it. This is done using Text Mining which includes the initial parsing of the unstructured data, processing it and then leading to some meaningful and fascinating information hidden in it. This paper presents the machine learning techniques for text mining that are useful for spam detection in emails. 02 28 2020 2535 2539 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1915.029420 https://www.ijitee.org/portfolio-item/D1915029420/ Research scholar, Jawaharlal Nehru Technological University Ananthapuramu, AP, India. Ravi Sravanthi* Dr ASV Sarma Professor, Dept., of ECE, PBR VITS, Kavali, AP, India. Video analysis of maritime scenarios typically includes detection of horizon line for reference. The horizon line is the imaginary line, which separates water and sky as well as water and land. The horizon line plays a major role in terms of demarcating the water region in the video frame for further analysis. Considerable research has been aimed at horizon line detection. Various approaches have been reported including (i) Canny based edge detection followed by Hough transform, (ii) machine learning combined with statistical methods. However, the Hough transform has several limitations, in terms excessive analysis time, deviation of estimated line from the actual horizon line, sensitivity to presence of floating objects on the horizon, error due to presence of large number of edges. Present paper describes an efficient method for detecting the horizon line for analysis videos obtained by cameras mounted on floating vessels such as unmanned surface vehicle in maritime and inland scenarios. The proposed method is based on K-means clustering followed by seed based region growing using Fast Marching Method. For detecting the horizon line, two clusters are used in water-sky region like in marine environment images whereas three or more clusters are used in water-land-sky region like in in-land rivers/lakes images. In most cases, the upper part of the frame belongs to sky region whereas lower part belongs to water region. After K means clustering, based on the selection of seed point in lower part of the frame, the water region is segmented using fast marching method from non water regions and hence the horizon line is detected. This proposed method performance is compared with edge detection followed by Hough transform for different datasets. Experimental results show that the proposed method detects efficient line without compromising the processing time. 02 28 2020 2913 2918 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1916.029420 https://www.ijitee.org/portfolio-item/D1916029420/ Department of Electronics and Communication Engineering, Kongu Engineering College, India. G. Murugesan* J. Vijayalakshmi Department of Electronics and Communication Engineering, Kongu Engineering College, India, V. Dinesh Department of Electronics and Communication Engineering, Kongu Engineering College, India B. Gnanasowndari Department of Electronics and Communication Engineering, Kongu Engineering College, India. Deepana Department of Electronics and Communication Engineering, Kongu Engineering College, India. S. Balaji Department of Electronics and Communication Engineering, Kongu Engineering College, India. The proposed vivaldi antenna for wearable applications is done using flexible material. The designed antenna has the length of 8 cm and width is 6 cm. For the gain enhancement, strip lines are added in the vivaldi. There are six strip lines and the length of the strip is varied. By adding the strip line, gain of the antenna is increased compared to without strip lines. It has high gain and directivity. Poly-Ethylene Terephthalate (PET) is used as a substrate for achieving the flexibility and it has high resist to moisture. It has board range of use temperature, -60 to 130°C. For every iteration, a strip line is added one by one upto six lines. The gain and directivity of the antenna is 5.4 dB for both the parameters. 02 28 2020 2919 2921 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1918.029420 https://www.ijitee.org/portfolio-item/D1918029420/ Professor, Department of CSE, MGIT, Hyderabad, India. Dr. A. Nagesh* Dr. M. Sadanandam Assistant Professor & BOS, Department of Computer Science & Engineering at Kakatiya University, Warangal, India. The most of the existing LID systems based on the Gaussian Mixture model. The main requirement of the GMM based LID system is it require large amount of speech data to train the GMM model. Most of the Indian languages have the similarity because they are derived from Devanagari. Even though common phonemes exists in phoneme sets across the Indian languages, each language contain its unique phonotactic constraints imposed by the language. Any modeling technique capable of capturing all these slight variations imposed by the language is one of the important language identification cue. To model the GMM based LID system which captures above variations it require large number of mixture components.To model the large number of mixture components using Gaussian Mixture Model (GMM), the technique requires a large number of training data for each language class, which is very difficult to get for Indian languages. The main objective of GMM-UBM based LID system is it require less amount of training data to train(model) the system. In this paper, the importance of GMM-UBM modeling for language identification (LID) task for Indian languages are explored using new set of feature vectors. In GMM-UBM LID system based on the new feature vectors, the phonotactic variations imparted by different Indian languages are modeled using Gaussian Mixture model and Universal Background Model (GMM-UBM) technique. In this type of modeling, some amount of data from each class of language is pooled to create a universal background model. From this UBM model each model class is adapted. In this study, it is found that the performance of new feature vectors GMM-UBM based LID system is superior when compared to conventional new feature vectors based GMM LID system. 02 28 2020 3034 3039 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1919.029420 https://www.ijitee.org/portfolio-item/D1919029420/ Associate Professor, Department of Computer Science Department of Nehru Memorial College, Puthanampatti, Affiliated to Bharathidasan University, Trichy, India Mani. K* Barakath Begam A. Department of Computer Science Department of Nehru Memorial College, Puthanampatti, Affiliated to Bharathidasan University, Trichy, India. The potential disadvantage of ElGamal cryptosystem is the ciphertext produced is always twice as long as the plaintext i.e., the message expansion by a factor of two takes place during encryption. When the message is too long the ciphertext produced by the ElGamal cryptosystem is also too long. i.e., when the ciphertexts are transmitted through the communication channel which lead to provide less security because if anyone of the ciphertext from two ciphertexts for each character of the plaintext is intercepted by the adversary, the other may be retrieved easily because there is a relationship between the two ciphertexts. If two ciphertexts are reduced to one, the adversary may not be able to predict the two ciphertexts from one. To enhance the security of ElGamal cryptosystem, the binary Cantor function , Rosenberg pairing function and Elegant pairing functions are used in this paper. When the said functions are used, the two ciphertexts produced by each plaintext character are reduced to one, so that the adversary cannot easily be recovered the plaintext. Experimental results clearly revealed enhancing the security of ElGamal cryptosystem after incorporating the pairing functions into it. 02 28 2020 2922 2928 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1921.029420 https://www.ijitee.org/portfolio-item/D1921029420/ Department of ECE, R.M.D Engineering College, Anna University, Chennai, India C. Shobana Nageswari* M.N.Vimal Kumar Department of ECE, R.M.D Engineering College, Anna University, Chennai, India K. Ilamathi Department of ECE, R.M.D Engineering College, Anna University, Chennai, India R. Mamtha Systems Engineer, Infosys, Bangalore, India. Haze is a condition where our visibility gets affected due to particles, smoke, dust and moisture which are suspended in air. Haze reduces the visibility. A contextual regularization de-hazing algorithm is proposed which uses a single frame image for enhancing the foggy image using multilevel transmission mapping. Quantitative parameters such as MSE and PSNR are considered to assess the superiority of the proposed method. The proposed method is fast and free from noise when compared with other existing methods. 02 28 2020 2929 2933 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1926.029420 https://www.ijitee.org/portfolio-item/D1926029420/ Department of Computer Languages and Systems and Software Engineering, Universidad Politécnica de Madrid and Universidad Politécnica Salesiana, Guayaquil, Ecuador. Ricardo Naranjo Sánchez* Ricardo Valverde Department of Computer Science, Universidad Politécnica Salesiana, Guayaquil, Ecuador. Loïc Martínez Normand Department of Computer Languages and Systems and Software Engineering, Universidad Politécnica de Madrid, Madrid, Spain. The following document is a systematic review regarding the usage of Information and Communication Technologies in Obsessive-Compulsive Disorder (OCD). For this a thorough search in five different online databases until September 2019 was done. A total of 348 articles were found in which duplicates were discarded. After using the inclusion and exclusion properties a total of 21 final published articles since the year 1995 until the year 2018 were left. In the articles the methods to procure the necessary data, the different types of created or used technologies and the outcomes were investigated. Different technologies like databases for tests or researches, controlled environments like virtual environments or physical environments to test reactions or different behaviors, web pages, social media, video games like internet games or virtual reality games and other empirical researches were found. Some interesting suggestions to help both components, meaning Computer Technology and OCD, arose regarding this systematic review for future researches. 02 28 2020 2346 2358 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1927.029420 https://www.ijitee.org/portfolio-item/D1927029420/ Department of Mathematics, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India. C. Kavitha* Soft computing techniques such as Artificial Neural Networks and Fuzzy logic are widely used in application of manufacturing technology. Surface roughness plays a vital role for quality of the product using machining parameters. Soft computing techniques are applied to predict the surface roughness in an economical manner. In this paper, prediction of surface roughness is evaluated using ANFIS [Adaptive Neuro-Fuzzy Inference System] methodology for the cutting parameters of end-milling process for machining the halloysite nanotubes (HNTs) with aluminium reinforced epoxy hybrid composite material. Experimental datas are used to analyse the relationship between the input parameter such as depth of cut (d), cutting speed (S), feed-rate (f) and output parameters as surface roughness. Datas are classified into training and testing with different types of membership functions. The observed results accurately predict the output which was not used in training and it is almost very close to the actual output obtained in the experimental work. Moreover it was found that gbellmf is helpful for better prediction with minimum error. 02 28 2020 2717 2720 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1928.029420 https://www.ijitee.org/portfolio-item/D1928029420/ Department of Computer Science, Sukkur IBA University, Sindh, Pakistan Sanam Fayaz Sahito Samreen Detho Department of Computer Science, Sukkur IBA University, Sindh, Pakistan. Syed Asif Raza Shah Department of Computer Science, Sukkur IBA University, Sindh, Pakistan. Tae-Hyung Kim Samsung Electronics, Seoul, Korea. Seo-Young Noh* Department of Computer Science, Chungbuk National University, Cheongju, Korea. Cloud computing, as one of the emerging technologies, is required to meet increasing and on-demand availability of all resources such as computing power, storage and networking. It provides the pool of resources and offers the mechanism to run various applications on Cloud Data Centers (CDCs). Cloud data centers are usually distributed across multiple sites. With the provision of distributed data centers, the need for their management and maintenance arises. Such circumstances lead networking capabilities to being implemented on larger scale. Software defined network (SDN) is the programming paradigm along with the NFV orchestration and incorporates the modular and dynamic network support for the cloud data centers provided and established by the cloud over the geographically separated places. In this paper, comprehensive study has been mainly conducted to highlight the need for the integration of both emerging and versatile technologies. We also cover challenges, issues and benefits which have to be considered in underlying architecture, models and devices. 02 28 2020 2540 2548 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1930.029420 https://www.ijitee.org/portfolio-item/D1930029420/ Professor, Chair of Ship’s Thermal Energy, National University “Odesa Maritime Academy”, Odessa City, Ukraine. Oleksiy V. Malakhov* Milhail O. Kolegaev Professor Dean, Department of Ship Mechanical, National University “Odesa Maritime Academy”, Odessa City, Ukraine. Igor D. Brazhnik Postgraduate Student,t Department of Ship Mechanical, National University “Odesa Maritime Academy”, Odessa City, Ukraine. Oksana S. Saveleva Professor and Head, Department of Education and Methodical Chair of Oil-Gas and Chemical Engineering, Odessa State Polytechnic University, Odessa. Ukraine. Diana O. Malakhova PhD. Department of Chair of Oil-Gas and Chemical Engineering, Odessa National Polytechnic University, Odessa. Ukraine. This investigation is devoted to the development of a new technology for cargo holds ventilation on tankers. The quality criterion for this process is the value of the residual oxygen concentration inside the hold. The long duration of the process and its high cost directly determine the quality of tanker operation. They directly affect the duration of the operating mode and the speed of tanker loading with a new type of cargo. Time reduction of the inertization of cargo holds and the use of information technology to monitor its current performance can increase the income from the operation of the tanker. It was stated that forced ventilation should be used during the supply of inert gases to the cargo holds of the vessel. When inert gases enter the cargo hold as a jet there could be increased a convective transfer between air and inert gases. In this case, inside the enclosed volume of the hold, the oxygen concentration decreases to standard values in a shorter period of time. A new forced ventilation technology has been developed for the vessels inert gas system. Its use is supplemented by information technologies that give an ability to control the basic parameters of the process. 02 28 2020 2549 2555 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1933.029420 https://www.ijitee.org/portfolio-item/D1933029420/ Department of Computer Science and Engineering, Manav Rachna International Institute of Research and Studies, Faridabad India. Arun Kumar* Supriya P. Panda Department of Computer Science and Engineering, Manav Rachna International Institute of Research and Studies, Faridabad, India. This Paper lights on Neuro-Linguistic Programming (NLP) Techniques, which is used to implement with the help of Qualitative Sentiment surveys. Neuro-Linguistic Programming techniques with Qualitative Sentiment Surveys helps in determining the behavior pattern of the human mind. Nowadays there is a huge amount of data available related to many social aspects. Participants’ satisfaction is the key factor for Qualitative Surveys. In this paper, Neuro-Linguistic Programming techniques are used to change the behavior patterns of the human mind. Datasets of 81 participants are being used for analysis. NLP thinking, imagining and feeling techniques are used by the participants to make a change in their behavior pattern. Results are shown in tabular form. Participants’ satisfactory results are shown with the help of python by using data visualization and matplotlib. 02 28 2020 2556 2560 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1937.029420 https://www.ijitee.org/portfolio-item/D1937029420/ Assistant Professor in Information Technology Department, Faculty of Science and Technology, Suan Sunandha Rajabhat University, Thailand. Sumitra Nuanmeesri* Applying augmented reality technology correctly helps businesses grow and attract more consumers, but using the marker that is the QR code does not directly interpret. On the other hand, if using pictorial markers, although they can convey meaning, it still takes time to process to extract the hidden information. This paper proposes to develop the hybrid marker for augmented reality by mixing the community brand image with the QR code for community product entrepreneurs, and develop the mobile application for scanning the hybrid marker then respond to the augmented reality content in several styles. The hybrid marker was generated into two modes. The opacity layer mode was set the opacity value of QR code to 55%. And overlapping mode is designed to invert the pixel color between pictorial band image and QR code. This system was evaluated in black-box testing. As a result, the efficiency of the hybrid marker and mobile application is the highest level of user acceptance while being used in this system. 02 28 2020 2359 2363 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1941.029420 https://www.ijitee.org/portfolio-item/D1941029420/ Department of Metrology and Standardization, Institute of Physics and Technology, MIREA - Russian Technological University, Moscow, Russia. Alexey Kirov* This report is devoted to the review, analysis of the implementation and application of the traceability system in the lifecycle management of radio-electronic products. The main problems of traceability application at the enterprises of the radio-electronic industry, the ways of its integration into life cycle management are identified. The importance and the advantages of modern traceability systems are highlighted. The main issues of their implementation and related problems are addressed. The main ways to provide identification of electronic components, printed circuit boards, equipment and personnel are described. The technical requirements for project realization and its stages are numbered. Complex supply chains and high risks related to it make traceability systems with its advanced functions, tools for control, management and analysis necessary for the lifecycle management of electronic products. Their implementation not only reduces the risks, but also provides the enterprises with a number of advantages witch boost effectiveness and profitability. 02 28 2020 3251 3254 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1942.029420 https://www.ijitee.org/portfolio-item/D1942029420/ Department of Mechanical Marathwada Institute of Technology, Aurangabad, India. Sachin M. Agrawal* Nilesh G. Patil Department of Mechanical Marathwada Institute of Technology, Aurangabad, India. In this study an experimental investigation of effects of cutting parameters on surface roughness during drilling of silicon carbide particulate reinforced aluminium matrix composite material under dry condition was carried out. Cutting speed , feed rate and % SiC in aluminium matrix composites were chosen as cutting parameters. The experimental design adopted for this investigation was the central composite design of response surface methodology. Thirty one readings were taken on VMC machine for dry condition and the surface roughness measured using Mitutoyo surface tester. Surface roughness values for dry condition were lower with 30% SiC reinforced aluminium matrix composites when compared to 10 % and 20 % SiC reinforced aluminium matrix composites . As cutting speed increased Ra & Rz value also increased .% SiC was found most significant factor while drilling aluminium matrix composites. 02 28 2020 3029 3033 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1943.029420 https://www.ijitee.org/portfolio-item/D1943029420/ Dept. of EE, AUCE( A), Visakahpatnam, (A.P}, India. Yeshitela Shiferaw Maru* K. Padma Dept. of EE. AUCE (A), Visakahpatnam, (A.P), India. Optimum power flow is a useful tool for planning and operating the electrical system and maintains the economy and safety of the modern electrical system. Teaching, Learning-based Algorithm is one of the new Metaheuristic algorithms which can influence both teachers and students by expediting the interaction among them in sharing the necessary knowledge. The proposed TLBO is designed here to solve the problem of an optimum power flow with STATCOM FACTS device. The optimal location of STATCOM FACTS device on the weak bus is obtained by Analytical Hierarchy Process (AHP) method. The main objective of this study is to reduce fuel cost of generation, reduce active and reactive power loss, improve voltage deviation and enhance voltage stability index within the given control variable constraints. The proposed TLBO algorithm with STATCOM device is evaluated on the standard IEEE-57 bus system. From the simulation result, it shows that the Teaching Learning-based algorithm gives the optimal solution as compared to the recent algorithm mentioned in the literature with some IEEE-57 bus test system. 02 28 2020 2561 2569 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1944.029420 https://www.ijitee.org/portfolio-item/D1944029420/ Assistant Professor, Department of Electronics and Communication Engineering, Kongu Engineering College, Erode, India. V. Dinesh* J. Vijayalakshmi Assistant Professor, Department of Electronics and Communication Engineering, Kongu Engineering College, Erode, India. B. Vignesh Department of Electronics and Communication Engineering, Kongu Engineering College, Erode, India. G. Vignesh Department of Electronics and Communication Engineering, Kongu Engineering College, Erode, India. S. Selva saravanan Department of Electronics and Communication Engineering, Kongu Engineering College, Erode, India A Hexagonal Microstrip Ultra Wide Band Fractal Antenna for wireless body area network applications is proposed. The Hexagonal antenna is powered through co-planar waveguide (CPW) feed structure. The proposed antenna uses a hexagonal fractal structures to achieve its Ultra Wide Band characterization. The addition of fractal elements introduces multi-resonance at different frequencies and covers a large bandwidth of 3.8GHz–10.1GHz respectively. This antenna creates a Fractal geometry inside the patch with similar in shape but difference in sizes. Electromagnetic Band Gap structures are introduced in order to improve gain and directivity of the antenna. Electromagnetic Bandgap Structure (EBG) is mainly focused on overcoming the limitation of Microstrip Patch antenna parameters such as low gain, excitation of surface waves. Electromagnetic Band Gap structures are defined as artificial periodic structures that exhibit unique electromagnetic features, such as frequency band gap for surface waves and in-phase reflection coefficient for incident plane waves, which makes them desirable for low-profile antenna designs. The Electromagnetic Band Gap structure is placed behind the antenna to suppress the propagation of surface wave and to improve gain, directivity and to reduce the side lobes of the radiation pattern. The effect of surface currents in the ground plane reduces the antennas operating bandwidth which is reduced by introducing defective ground structure. The size of the antenna is 25×25×1.588 . The proposed antenna has an average gain of 3.8dB. The radiation pattern obtained is unidirectional. 02 28 2020 3024 3028 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1945.029420 https://www.ijitee.org/portfolio-item/D1945029420/ Research Scholar, Department of Civil Engineering, UVCE, Bangalore University, Bangalore, India. Thejaswini R.M* L. Govindaraju Professor, Department of Civil Engineering, UVCE, Bangalore University, Bangalore, India. V. Devaraj Research Professor, Department of Civil Engineering, Dr.AIT, Bangalore, India. Numerical studies have been carried out to study the dynamic behaviour of a five-storey regular building, symmetric setback and asymmetric setback buildings having three bays along longitudinal direction and one bay along transverse direction. The objective of the study is to compare the irregularity indices with respect to different codal provisions such as IS:1893-2016, Euro Code 8-2004 and ASCE 7.05-2005 as well as with the expressions proposed by Karavasilis et al. (2008), and Pradip sarkar et al.(2010). These buildings are subjected to seismic excitations with time history analysis and the response parameters such as fundamental period of vibration of the structures, displacements and storey drifts were evaluated. 02 28 2020 3179 3183 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1947.029420 https://www.ijitee.org/portfolio-item/D1947029420/ Department of E.C.E, TKR College of Engineering and Technology, Ranga Reddy, Telangana, India. Sukanya. K* G. Laxminarayana Department of E.C.E, Anurag College of Engineering, Ranga Reddy, Telangana, India High speed computing is the upcoming challenge for next generation applications. To cope with high speed operations, new processing architectures are evolving. Multi processor design is one optimal design approach for such need. In the design development of multi processor unit, Multi-Processor System-on-Chip (MPSoC) has an outcome in the domain of VLSI design. MPSoC are designed to process multiple instructions and data handling simultaneously. The parallel processing feature make this unit faster and optimal design for upcoming applications. However, MPSoC operations have a latency issue in clock allocation and resource utilization, which effects the processing efficiency and introduces delay and resource overhead in MPSoC interface. This paper outlines a Mesochronous operation in MPSoC design for minimizing latency in clock allocation and resource allocation, hence improving the speed of operation. 02 28 2020 2934 2942 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1949.029420 https://www.ijitee.org/portfolio-item/D1949029420/ PG Student, Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad-43, Telangana, India. A. Madhuri* Vasudeva Reddy Nandigama Associate Professor, Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad-43, Telangana, India. Dr. S.V.S Prasad Head of Department and Professor, Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad-43, Telangana, India In view that the utilization digital strategies for sending and storing pix are establishing; it is far changing into an indispensable most vital assignment a method to protect the confidentiality, integrity and believability of pictures. This valuate paper extends to the power parameters used in cryptography strategies and learning on their take care of problems that had been developed and are in acknowledge in as lots as a result of the second instances. 02 28 2020 3238 3241 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1950.029420 https://www.ijitee.org/portfolio-item/D1950029420/ Information Technology Department, Terna Engineering College, Navi Mumbai, India. Roopal Mamtora* Dr. Lata Ragha Computer Engineering Department, FCRIT, Vashi, Navi Mumbai, India. Social media & e-commerce has opened up the doors for human behavioral analysis in ways which were not possible before. Companies have the ability to track user’s mood and suggest advertisements which can trigger buying decisions based on it. This is possible due to user’s real time social media updates. Users nowadays are willing to provide information like their location, their age, nearby friends information, their mood, their buying patterns, etc. Companies do not intentionally collect all this information, but it has become a matter of social pride to post it as social media status and updates. The information available can be put to use in multiple forms- predict election results, movie success, product liking/disliking, travel destination recommendation, health care, etc. In our work, we utilize this textual information posted by different users and analyze their depression level focusing on negative sentiments. In order to perform this task, we have considered user’s tweets, any links which they might have posted, the time of the tweet, their age group and any previous depression history of the user. All these parameters are given to a novel fuzzy decision tree that uses sentiment analysis and game theory-based scoring in order to evaluate the depression score for the user. We analyzed the system on different real-time users, and observed that the system predicts depression level with more than 90% accuracy. Our work can be used to generate a prototype to identify if a person is in a depressive state and figure out the intensity of his/her depression. 02 28 2020 2434 2438 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1951.029420 https://www.ijitee.org/portfolio-item/D1951029420/ Research Scholar, Marathwada Institute of Technology, Aurangabad, Maharashtra, India. Sachin M. Agrawal* Dr. Nilesh G. Patil Research Guide, Professor & Principal, Marathwada Institute of Technology, Aurangabad, Maharashtra, India. In this study an experimental investigation of effects of cutting parameters on surface roughness during drilling of silicon carbide particulate reinforced aluminium matrix composite material under minimum quantity lubrication (MQL) condition was carried out. Cutting speed , feed rate, flow rate and % SiC in aluminium matrix composites were chosen as cutting parameters. The experimental design adopted for this investigation was the central composite design of response surface methodology. Thirty one readings were taken on VMC machine for MQL condition and the surface roughness measured using Mitutoyo surface tester. Surface roughness values for MQL condition were lower with 30% SiC reinforced aluminium matrix composites when compared to 10 % and 20 % SiC reinforced aluminium matrix composites . As cutting speed increased Ra & Rz value also increased .% SiC was found most significant factor while drilling aluminium matrix composites. 02 28 2020 3172 3178 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1952.029420 https://www.ijitee.org/portfolio-item/D1952029420/ Assistant Professor, QIS College of Engineering & Technology (Autonomous), Ongole, AP, India Sk. Shakeela* M. Nitya Rama Krishna Assistant Professor, QIS College of Engineering & Technology (Autonomous), Ongole, AP, India Wireless Body Area Networks (WBANs) is the most widely used in many fields to overcome the issues identified in various applications. In general, various authentication protocols are utilized with a novel certificateless signature (CLS) scheme, which is computational, efficient, and provably secure against existential forgery on adaptively chosen message attack in the random oracle model. Also, the proposed designs ensure that application or service providers have no privilege to disclose the real identities of users. Even the network manager, which serves as private key generator in the authentication protocols, is prevented from impersonating legitimate users. The performance of our designs is evaluated through both theoretic analysis and experimental simulations, and the comparative studies demonstrate that they outperform the existing schemes in terms of better trade-off between desirable security properties and computational overhead, nicely meeting the needs of WBANs. 02 28 2020 3079 3082 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1953.029420 https://www.ijitee.org/portfolio-item/D1953029420/ Assistant Lecturer, Department of Mechanical Engineering, Madda walabu University, Bale Robe, Ethiopia Abeba Gachen* Zewude Hirpesa Assistant Lecturer, Department of Mechanical Engineering, Madda walabu University, Bale Robe, Ethiopia Lemi Negera Woyessa HOD, Department of Mechanical Engineering, Madda walabu university, Bale Robe, Ethiopia Drying is the process of removing moisture contents from solid. Solar drying refers to a technique that utilizes incident solar radiation to convert it into thermal energy required for drying purposes. This project presents the design, construction and performance of an indirect type solar dryer for coffee product. In the dryer the air inters into the solar collector from the atmosphere through air inlet hole. This air will be heated in the collector and then pass to the drying chamber through the hole. Then the air exhausts through the outlet hole at the top of the drying chamber. The system designed can handle a capacity of up to 50kg of wet coffee per m2at a depth of 100 mm. The average sunshine at Bale Robe was found to be 12 hours per day. The daily solar insolation at the site was found to be 5.86kW/m2 of surface per day. By utilizing the solar collector in question and assuming a collector efficiency of 20 %, the total solar energy received is 5.86 kW-hrs/m2/day or 46.88 kW-hours per day (assuming the sunshine hours per day to be 8 hours). This solar dryer has a collector efficiency of 39.1%, a pick-up efficiency of 49.3%, and a system efficiency of 32.2%. the collector area of the system is calculated to be 1.11m2 and the total length of 1000mm by 300mm. The drying chamber is essentially a cabinetry dryer and measures 1020mm × 800mm × 30mm. It accommodates a drying bin which acts as the holding compartment for the wet coffee to be dried. The base of the drying chamber is made of a block of wood material 50mm deep, since wood is a good thermal insulator. The wood must be well seasoned and pre-treated to ensure it is protected from the humid environment. The air outlet is fitted at the top of the drying chamber which serves as the exit for the moisture ridden air. It is important since it ensures that moisture does not condense at the top of the drying chamber and speeds up the rate of drying through creating the suction effect. The drying bin measures 800mm × 800mm × 20mm. 02 28 2020 2943 2956 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2004.029420 https://www.ijitee.org/portfolio-item/D2004029420/ Department of ECE, Kongu Engineering College, Perundurai, India. Dinesh. V* Vijayalakshmi. J Department of ECE, Kongu Engineering College, Perundurai, India. Dhivya. B Department of ECE, Kongu Engineering College, Perundurai, India. Transparent antennas are meant for their optical transparency. This paper analyzes the rectangular patch antenna designed using meshed conductors and solid ground planes. Meshing the antennas makes it as optically transparent and the antenna’s transparency is based on the mesh geometry. Even there is a tradeoff between the antenna’s efficiency and the visual see-through ability of the patch antenna with meshed structure, it is able to tune the antenna by refining mesh lines. Material handling, fabrication process and the increased impedance are the important factors limiting the refining of the mesh lines, which also cause loss in efficiency of the antenna. Both the performance and antenna transparency is improved by a mesh refined with small line width (q). Also, by removing certain mesh lines, the antenna transparency is improved without affecting the antenna efficiency. This paper briefly explains the relation between the gain, transparency and the mesh structure of the antenna. 02 28 2020 2957 2962 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2006.029420 https://www.ijitee.org/portfolio-item/D2006029420/ Asst. Professor, Department of Mathematics, GIS, GITAM (Deemed to be University), Visakhapatnam, India. G. Nagalakshmi* A. Chandra Sekhar Professor, Dept of Mathematics, GIS, GITAM (Deemed to be University), Andhra Pradesh, India. N. Ravi Shankar Professor, Dept of Mathematics, GIS, GITAM (Deemed to be University), Andhra Pradesh, India. This paper presents a method of Asymmetric key cryptography using Laplace transform and inverse Laplace transform respectively on Maclaurin’s series to attain information and network Security. The public key and private key are used to encrypt and decrypt data in Asymmetric cryptography. Public and private key are generated using Encryption and Decryption algorithms with a numerical example. Frequency allocations of characters in plain text file and cipher text file with proposed algorithm are analyzed using bar diagrams. It has been observed that the repeated character in encipher file has same frequency while running ElGamal and RSA encryption algorithms but differ in proposed algorithm. Time complexity of each algorithm is tested for distinct file size and is presented in a suitable table. Statistical analysis for the proposed algorithm is performed using coefficient correlation and compared with ElGamal, RSA algorithms. All these tests ensure that the proposed algorithm provide network security and key recovery attack. 02 28 2020 3083 3087 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2007.029420 https://www.ijitee.org/portfolio-item/D2007029420/ Manipal University Jaipur, Rajasthan. Department of School of Computing-CA, DIT University, Dehradun, India. Priyanka Dahiya* Devesh Kumar Srivastva Department of School of Computing & Information Technology, Manipal University Jaipur, Rajasthan, India. Big data is the huge amount of data with different types of V’s: Velocity, Variety as well as Volume. It can be semi-structured, unstructured or structured, due to which it is not easy to analyze the data. To extract the hidden knowledge and to detect the attacks on large amount of data new architecture, techniques, algorithms, and analytics are required. Using traditional techniques to detect attacks is very difficult. In this paper, the detailed review has been done on intrusion detection on various fields using deep learning and gives an idea of applications of deep learning. The number of attacks has been increased in computer networks. A powerful Intrusion Detection System (IDS) is required to ensure the security of a network. Based on review, it is found that some studies have been done in this field, but a deep and exhaustive work has still not been done. Many researchers proposed an IDS using deep learning for unforeseen and unpredictable attacks but not for Big Data. The proposed work is based on Deep learning based intrusion detection System for big datasets named hybrid-DeepResNet-RNN run till 1,000 epochs with learning rate varying range [0.01-0.5] and three ensemble techniques, Random Forest, Decision tree regression and Gradient Boosting Tree (GBT). It is used to develop the hybrid, secure, scalable NIDS which is based on deep learning and big data techniques. The proposed classifiers produce a more reliable classification than a single classifier. The experimental results are in terms of detection rate (98.86%), false positive rate (1.110%), accuracy (99.34%) and F-Measure (97.90%). The results illuminate the better performance than existing anomaly detection techniques in the big data environment. 02 28 2020 3242 3247 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2011.029420 https://www.ijitee.org/portfolio-item/D2011029420/ D.O.T., Shivaji University, Kolhapur, India. Santosh Itraj* Dr. Uttam Bombale D.O.T., Shivaji University, Kolhapur, India. Pravinkumar Patil Visvesvaraya Technological University (VTU) Public university, Belgaum, Karnataka, India. Dr. Meenakshi Patil Visvesvaraya Technological University (VTU) Public university, Belgaum, Karnataka, India. The cognitive radio is a promising candidate to resolve the issues created due to the spectrum scarcity in wireless communication. The main motive of CR technology is to create communication opportunities by sensing and learning from the external environment thereby improving the spectrum usage efficiency. The integration of the link adaptation, MIMO-OFDM with CR technology gives the utmost performance. In this treatise, we propose the hybrid channel access (interweave-underlay) scheme for the MIMO-OFDM based adaptive CR system. We have investigated the performance of the CR system under a hybrid channel access (interweave-underlay) scheme as well as underlay channel access scheme. We consider the binary stochastic model to reflect the primary user (PU) activities. The performance is evaluated with different channel detection probabilities under perfect as well as imperfect (false alarm) spectrum sensing environment. The result shows the significant improvement in the throughput of the system in proportion with the higher-quality channel detection probability with perfect spectrum sensing. This exploits the hybrid channel access scheme as one of the techniques to optimize the performance of the system. This signifies the importance of the optimum channel sensing and its selection in improving the performance of the system. To show the performance improvement of the CR system using hybrid channel access scheme we have compared it with the performance of the CR system based on the conventional underlay channel access scheme. The proposed scheme can be used to improve the performance of the entire CR network. 02 28 2020 2570 2579 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2012.029420 https://www.ijitee.org/portfolio-item/D2012029420/ Department of Mechanical Engineering, MKSSS’s Cummins College of Engineering for Women, Karvenagar, Pune-52, MH, India. Nilesh R. Kolhalkar* Dr.V.L. Krishnan Department of Mechanical Engineering, V.R.Siddhartha Engineering College Kaneru, Vijayawada, A.P, India. Weed management always has been a vigorous task for farmers. Grapevines and weeds compete for water, nutrients, sunlight and have an unfavorable impact on berry size and sugar contents, if uncontrolled. More than 95% of herbicides are reported to reach a destination other than the targeted crops, resulting in wastage and many undesirable effects on the humans, other living organisms and the environment. Mechatronic system on agriculture vehicle is proposed for weed management and soil condition monitoring within the rows of the vineyards. Heavy and dense vegetation is first removed mechanically using a rotating knife and then herbicides are sprayed on the identified weeds, which enable it to reach up to the roots of the weeds for complete removal using image processing techniques. The designed Mechatronics system correctly identifies the different weed species and sprays the right quantity of herbicides at the right place and at the right time using the principle of Precision Agriculture. The proposed system also monitors the different parameters of the soil using a variety of sensors. 02 28 2020 3080 3094 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2014.029420 https://www.ijitee.org/portfolio-item/D2014029420/ Department of Computer Science and Engineering, Jyothismathi Institute of Technology and Science, Karimnagar, Telangana, India. Ch. Aishwarya* N. Venkateswaran Associate Professor Department of Computer Science and Engineering, Jyothismathi Institute of Technology and Science, Karimnagar, Telangana, India. T. Supriya Department of Computer Science and Engineering, Jyothismathi Institute of Technology and Science, Karimnagar, Telangana, India. M. Sreekar, Department of Computer Science and Engineering, Jyothismathi Institute of Technology and Science, Karimnagar, Telangana, India. V. Sreeja Department of Computer Science and Engineering, Jyothismathi Institute of Technology and Science, Karimnagar, Telangana, India. Intrusion Detection System is a vital feature of protecting network infrastructure from unauthorized users or hackers. Intrusion detection system is used to identify several types of malicious activities that could effect the safety of network and to reduce network traffic. Because of faster growth of Internet, networks are growing rapidly in every area of society. As a result, large amount of data is travelling across many networks which may lead to vulnerability of integrity and confidentiality of data. Many Machine learning models are opened up providing new opportunity to classify traffic in network. In quest to select a good learning model, this paper illustrates performance between J48, Naive Bayes and Random forest classification models. The KDD Cup 99 dataset is used for experimental analysis to identify which classification model improves correctness of data and attains highest accuracy. 02 28 2020 3169 3171 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2017.029420 https://www.ijitee.org/portfolio-item/D2017029420/ Research Scholar, Civil Engg Dept, JNTUA Anantapuramu, India. K Sundeep kumar* Dr. P V Subba Reddy Professor, Department of Civil Engg, N.B.K.R Institute of Science & Technology, SPSR Nellore, India Dr. E Arunakanthi Professor, Department of Civil Engg, Jawaharlal Nehru Technological University Anantapuramu, India. M Venkateswarlu National Institute of Technology, Warangal, Telangana, India. From recent global research developments, lot of natural and artificial materials are coming from industries those are normally discarded or used as landfills are investigated for potential construction applications. There are different industry waste materials like steel slag, copper slag, electric furnace slag etc., which are used in various types of concretes such as conventional, geo-polymer self-compacting concretes. Now a day’s utilization of Self- Compacting Concrete (SCC) is increasing speedily because of its attractive characteristics like effective fresh, mechanical and durability properties and its large applications in construction. In addition to this, SCC materials are associated with sustainability issues. Necessity of SCC expected to continuously increases with increasing developments around the world. Therefore required an ideal solution and sustain technology; such as utilization of alternative materials. The present study explains application of industrial waste materials to replace fine and coarse aggregates in self-compacting concrete production. Also, effective limitations in using some of the waste materials as sustainable alternatives for coarse and fine aggregates have been mentioned. From this review, it is evident that factors like carbon emissions, energy for production and cost production of SCC can be notably decreased by incorporating of waste materials in place of fine and coarse aggregates in Self-Compacting Concrete. 02 28 2020 2580 2587 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2019.029420 https://www.ijitee.org/portfolio-item/D2019029420/ Doctoral Program, Department of Civil Engineering, Faculty of Engineering, Universitas Brawijaya, Malang, Indonesia. Royke Octavian Roring* Ludfi Djakfar Department of Civil Engineering Faculty of Engineering, Universitas Brawijaya, Malang, Indonesia. Achmad Wicaksono Department of Civil Engineering, Faculty of Engineering, Universitas Brawijaya, Malang, Indonesia. The Indonesian government has established a Special Economic Zone (SEZ) and International Hub Port (IHP) in Manado, Indonesia. The research aims to understand the effect of both SEZ and IHP and traffic generated by these two developments on the provision of transportation infrastructures. 264 stakeholders were interviewed in this study. The Structural Equation Modeling (SEM) was implemented to answer regressive and dimensional questions. The respondents were first confirmed about their knowledge of SEZ and IHP development before being interviewed. The research variables were divided into 5 namely IHP development, SEZ Development, Logistics Transportation Users, Logistic Traffic Flows and the Provision of Transportation Infrastructures. The Exogenous variables were the IHP development and SEZ development, while the endogenous variable was the Provision of Transportation Infrastructures. The results showed that the Development of the International Hub Ports has the greatest total effect on Logistics Transportation Users, and subsequently on the Traffic Flow of Goods followed by the Provision of Transportation Infrastructures. The Development of Special Economic Zones has a positive effect on the Logistic Traffic Flow and on the Provision of Transportation Infrastructures. Logistics Transportation Users have a direct effect on the Traffic Flow of Goods and on the Provision of Transportation Infrastructures. The Traffic Flow of Goods gives a direct influence on the Provision of Transportation Infrastructures. Logistics Transportation Users are the dominant factors which affect the Transportation Infrastructure Provision. Then, Logistics Transportation Users are influenced by the development of IHP. This research demonstrates that there is a reciprocal relationship between both SEZ and IHP and the provision of transportation infrastructures. Thus, this study recommends that the North Sulawesi transportation infrastructure plan should be aligned with the needs of the SEZ and IHP, which ensures both international and national connectivity. The results of this study can be used to recommend appropriate policies regarding infrastructure provision. 02 28 2020 2588 2596 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2021.029420 https://www.ijitee.org/portfolio-item/D2021029420/ Assistant Professor, Department of Computer Science and Engineering, Anurag Group of Institutions, Hyderabad, India. Vadipina Amarnadh* Parisa Premchand Goud M.Tech Student, Department of Computer Science and Engineering, Anurag Group of Institutions, Hyderabad, India. Cloud computing is the one of the service oriented applications which is used for the various users according to the requirements. Searching is the most widely used in many applications for the retrieving of the various data or documents according to the user keyword search. Accessing of cloud data which is encrypted is most widely used with the help of many encryption and decryption algorithms. In this paper, the user specific semantic search for the various encrypted data (USSSED) is introduced to overcome the issues in the previous systems. Results show the performance of the proposed system in terms of security and searching data. 02 28 2020 2963 2966 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2026.029420 https://www.ijitee.org/portfolio-item/D2026029420/ Assistant Professor, Department of Computer Science and Engineering, Pravara Rural Engineering College, Loni, Pune University,India. Mr. Nirmal M.D.* Vikas M. Khemnar BE computer(Student), PREC, Loni (MS ) India. ApekshaM Aher BE computer (Student), PREC,Loni (MS ) India. Anjali A Aher BE Computer (Student), PREC, Loni (MS ) India. Rutuja B Dighe BE Computer (Student), PREC, Loni (MS ) India. Nowadays IoT has its influence over every sector of life ,striving hard to improve quality of life. Obsonium is a never ending business and to improve the quality of obsonium we can take the help of technology. In today’s technology, many companies are developing products that ensure convenience toward all people who needs a good obsonium experience from today’s hectic obsonium which takes a lot of time for billing and getting out. Thus, we have developed a Smart Obsonium Cart, that allows faster check-out. First the product will have a RFID card which will filled first by shop Admin with other de- tails of the product. Then cart uses the RFID reader technology to identify the products details which is already available in the database. The total cost will be displayed on the mobile attached to the cart as and when the product is added to the cart. The user can view the details of the product on his mobile. IoT helps to design such a cart which will automatically scan the product and add the respective amount to be paid in the bill on our own smart phone itself. Technologies used in this system are RFID tags and RFID reader for fetching the price of each unique item. Arduino microcontroller to perform the sum of the prices of the products and to prepare the final bill. Mobile application for the final display of bill and the complete obsonium list. Security is provided by the weight scanner and validating the products bought to avoid tag tampering. All the item’s information is stored in the cloud at first. Checkout verification is also done by passing the cart after payment through a lane with RFID readers. 02 28 2020 3095 3098 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2027.029420 https://www.ijitee.org/portfolio-item/D2027029420/ Department of EEE, National Engineering College, Kovilpatti, India. C. Subalakshmi* M. Bakrutheen Department of EEE, National Engineering College, Kovilpatti, India. M. Willjuice Iruthayarajan Department of EEE, National Engineering College, Kovilpatti, India. Transformers are the critical component in the power system, which is used for transmission and distribution purposes. Traditionally mineral oil has been used as the liquid insulation medium in the transformer. Owing to poor bio - degradability and availability, it has been widely studied to replace mineral oil with natural ester oil. During the service period of the transformer, oil insulation and paper insulation gets degraded due to aging. This aging results in the formation of furanic compounds in the oil insulation, which will affect the performance of oil insulation and thus the transformer life. In this proposed work, an effort is made to analyze the critical parameters before and after the inclusion of an aging derivative of 2–furfuraldehyde (2-FAL). 2-FAL has been added in the proportion of 20 ppm to investigate the oil’s properties such as breakdown voltage, viscosity, flash point, fire point, and peak absorbance of the UV spectrum. It is observed that there is a lesser impact on the properties with the addition of 20ppm of 2-FAL. Hence it is suggested that the various concentration of 2-FAL may be added to check the quality of oil for further applications. 02 28 2020 2597 2600 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2031.029420 https://www.ijitee.org/portfolio-item/D2031029420/ Mathematics Division, school of Advanced Sciences, VIT University, Chennai, TamilNadu, India. M. Kalaimathi* Dr. B. J. Balamurugan Mathematics Division, school of Advanced Sciences,, VIT University, Chennai, TamilNadu, India. An even-odd harmonious labeling of a graph G with p vertices and q edges is a process of assigning odd numbers 1,3,5,...,2q 1 to the vertices through a 1-1 computing function f and even numbers 0, 2, 4,..., 2( p 1) to the edges through a bijective computing function f * with the condition that f *(e  uv)  ( f (u)  f (v))(mod 2q) where u and v are the vertices of G . This type of labelled graph is called as even-odd harmonious graph. 02 28 2020 2967 2974 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2033.029420 https://www.ijitee.org/portfolio-item/D2033029420/ Department of Computer Science & Technology (Cyber Security), Central University of Punjab, Bathinda, India. Shubham Sharma* Satwinder Singh Department of Computer Science & Technology (Cyber Security), Central University of Punjab, Bathinda, India. With the advancement of digitization in every domain, the dependency of individuals on these digitized softwares has also increased. Although these softwares can perform storage, transfer, and security of digital media easily, the threat of hardware/software failure, data tapping and breaching data has always been there. Most of these threats have been introduced by the development of malicious softwares that can provide unauthorized access of machine’s data. This malicious software was termed as malware. The development of any antimalware software to prevent the machine from malware triggers the attacker to generate new malicious operations to infect the machine. Ransomware is, however, a novel and one of the dangerous malware invented recently that restricts the user from accessing their system by locking the operating system files using strong encryption algorithms in the system unless and until a ransom is paid. Seeing the emergence of this ransomware threat and also the increasing usage of digital media, many techniques have been developed to detect the presence of different types of ransomware in different environments. Since the importance of developing techniques to prevent our machines from such attacks is increasing substantially, further research in the respective domain require thorough analysis of all the techniques that have been developed in this regard. This paper introduces the concept of ransomware and how it has been evolved. Along with various methods of handling the ransomware, thorough analysis of techniques that have been developed until now for the prevention and detection of different ransomwares is also performed. The analysis shows that there has been a big improvement in coding techniques utilized by ransomware which will eventually turn out a good detection system that considerably reduces the quantity of victim information loss. 02 28 2020 2721 2732 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2035.029420 https://www.ijitee.org/portfolio-item/D2035029420/ Dept. Of Information and Communication Engineering, Honam University, Gwang-Ju Korea. Eun-Ju Kang Nam-Rye Son* Dept. Of Information and Communication Engineering, Honam University, Gwang-Ju Korea. Renewable energy has recently gained considerable attention. In particular, interest in wind energy is rapidly increasing globally. However, the characteristics of instability and volatility in wind energy systems also have a significant on power systems. To address these issues, numerous studies have been carried out to predict wind speed and power. Methods used to forecast wind energy are divided into three categories: physical, data-driven (statistical and artificial intelligence methods), and hybrid methods. In this study, among artificial intelligence methods, we compare short-term wind power using a support vector machine (SVM) and long short-term memory (LSTM). The method using an SVM is a short-term wind power forecast that considers the wind speed and direction on Jeju Island, whereas the method using LSTM does not consider the wind speed and direction. As the experiment results indicate, the SVM method achieves an excellent performance when considering the wind speed and direction. 02 28 2020 2164 2169 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2036.029420 https://www.ijitee.org/portfolio-item/D2036029420/ School of Informatics, Wolaita Sodo University, Ethiopia. J. Sebastian Nixon* Ashenafi Wubshet Desta School of Informatics, Wolaita Sodo University, Ethiopia Data mining is the key tools for discoveries of knowledge from large data set. Nowadays, most of the organizations using this technology to maintain their data. This paper focuses on the Bank sector in Risk management specifically, detecting Bank loan defaulters through the data mining application to examine the patterns of different attribute which would contribute for detecting and predicting defaulters thus preventing wrong loans. This process can be done without change the current systems and the data. Then it helps to distinguish borrowers who repay loans promptly from those who don’t and avoid wrong loan allotment. In order to show the results of the study Classification model is implemented in order to find interesting patterns among attributes of customer. A total of 20461 sample data were taken by data base admin randomly from 3 consecutive years from the Bank database to build and test the model. In this research we used Classification model of decision tree and Naïve Bayes in Weka 3.7 tool for experiments. Modeling methodology applied to this paper was CIRSP-DM (Cross Industry Standard for Data Mining), which involves business understanding, data understanding, data preparation, model building, evaluation and deployment. Decision tree classifications with J48 implementation with 8 experiments were performed. Two experiments with different parameters were made for Naïve Bayes. Finally, evaluation and analysis of the models were performed then given a best solution to predict the defaulters. 02 28 2020 2733 2744 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2037.029420 https://www.ijitee.org/portfolio-item/D2037029420/ Department of Computer Science & Engineering, Glocal University Mirzapur Pole Saharanpur, India. Mohammad Shuaib Khan* O. K. Harsh Department of Computer Science & Engineering, Glocal University Mirzapur Pole Saharanpur, India. In the present research an effort is being made to understand the significance of knowledge reuse in an academic environment. For this we will require appreciating the role of knowledge reuse, sharing and its management. Quality of reusable tacit and explicit knowledge has also been discussed. Various issues of knowledge quality and reusability in contemporary age have been analyzed. For comprehend the above undertakings in greater details we apply the three dimensional model of knowledge reuse and management by Harsh based on Nonaka and Takeuchi model and present the discussion on the various issues of knowledge reusability and its applications in an academic environment. Suggestions to improve the reusable tacit and explicit knowledge for a country like India are being also detailed. In the present investigation the importance of reusable tacit and explicit knowledge in diverse learning situation which is extensively valuable for the country like India is being explored. In academic environment it is very much essential to analyze the flow of the knowledge. Reusability concept not only providing a way to achieve the desired objective but also encapsulating the tacit as well as explicit knowledge. Combination of the knowledge is quite interesting field in academic environment. This study helps in optimization of educational resources by simple a technique of reuse. Present discussion also point out the enhancement of quality of tacit and explicit reusable knowledge as a result of its refinement in a three dimensional knowledge environment. Application of Information and communication technology can further exploit not only the effortless confined reusable knowledge while it also opens the enormous opportunity for trouble-free applications of reusable knowledge. 02 28 2020 2745 2751 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2041.029420 https://www.ijitee.org/portfolio-item/D2041029420/ Graduate Apprentice (Mechanical) Satish Dhawan Space Centre, Sriharikota, Andhra Pradesh, India. Evvala Satya Bharath* Kothagundu Subramanyam Department of Mechanical Engineering Jawaharlal Nehru Technological University, Anantapur, Andhra Pradesh, India. Petroleum by-products are now contemporary utilization rate it will be consuming in upcoming periods. Ethanol usage is one of the transport sectors can fulfill the requirement and contribute to mitigating the greenhouse gas emissions of the vehicles. In order to expand the SI engine which can function on 100% ethanol or append ethanol in petrol and operate the blends of that. The intention of this project is going to prepare the thermal and rheological behavior of pure petrol, E5 and E10, E15 ethanol-gasoline blend. All thermograms of heat flow exhibited at a 35ºC-280ºC temperature range at air atmosphere. This contemplation concludes that ethanol blending is the lowest exhaust gasses with considerable improvement in the performance of the Spark Ignition (SI) engine and promising, Ethanol as a new fuel which can be fortunately replace petrol and its depletion problem 02 28 2020 2752 2755 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2045.029420 https://www.ijitee.org/portfolio-item/D2045029420/ Rector of Kyiv National University of Construction and Architecture, Kyiv, Ukraine Petro Kulikov Roman Pasko Laboratory of Engineering and Technical Research, Kyiv Scientific Research Institute of Forensic Expertise of the Ministry of Justice of Ukraine, Kiev, Ukraine. Svitlana Terenchuk Department of Information Technology Design and Applied Mathematics, Kyiv National University of Construction and Architecture, Kyiv, Ukraine. Vitalii Ploskyi department of Architectural Structures, Kyiv National University of Construction and Architecture, Kyiv, Ukraine. Yeremenko Bohdan* Department of Information Technology Design and Applied Mathematics, Kyiv National University of Construction and Architecture, Kyiv, Ukraine. The article contains an analysis of the order of forensic building-technical expertise and expert research to determine the reasons for the deterioration of the technical condition of the structural elements of buildings. The conditions for forming expert conclusions about the possible correlation between the appearance of negative changes in the technical condition of the structural elements that have become the subject of forensic building-technical expertise and the various factors of influence of the environment are investigated. In doing so, the focus is on the impact factors associated with carrying out renovation work in adjacent premises. In addition, issues related to the fuzzy uncertainty of the different nature of the expert researches are highlighted. Some of these problems are proposed to be solved by the using of artificial neural networks in the fuzzy subsystem of the system of support of forensic building-technical expertise. It is shown that a considerable part of the materials of forensic building-technical expertise and expert research is represented by photographs of injuries. Fixation of damaged structures is reflected in the plans of premises and schemes of placement of structures in the buildings. The graphic information of the research materials is accompanied by textual information, the processing of which requires the use of models and methods of fuzzy mathematics. The fragment of the knowledge base is provided, which contains information on the geometric parameters of damage to building structures and an example of a fuzzy rule that reflects an expert conclusion. The expediency of using fuzzy neural networks of adaptive resonance theory of the Cascade ARTMAP category is substantiated. Cascade ARTMAP memory card schematic is shown. 02 28 2020 3162 3168 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2050.029420 https://www.ijitee.org/portfolio-item/D2050029420/ Assistant Professor, Department of Mathematics, Government Arts and Science College, Veppanthattai, Perambalur- 621116, Affiliated to Bharathidasan university, Trichy, India. A. Muthaiyan M. Kathiravan* Assistant Professor, Department of Mathematics, Govt. Arts College, Ariyalur, Affiliated to Bharathidasan university, Trichy, India. Let G be a (p, q) graph. Let f be an injective map from V(G) to {1, 2, …, p}. For each edge xy, assign the label         y x or         x y according as x > y or y > x. f is called a parity combination cordial labeling (PCC-labeling) if f is a one to one map and | ef(0) − ef(1) |  1 where ef(0) and ef(1) denote the number of edges labeled with an even number and odd number respectively. A graph with a parity combination cordial labeling is called a parity combination cordial graph (PCC-graph). In this paper we investigate the PCC- labeling of the graph G , It is obtained by identifying a vertex vk in G and a vertex of degree n in Hn, where G is a PCC graph with p vertices and q edges under f with f(vk) = 1. 02 28 2020 2756 2762 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2055.029420 https://www.ijitee.org/portfolio-item/D2055029420/ Pursuing Ph.D, Koneru Lakshmaia Education Foundation, Guntur, Andhra Pradesh, India. T. V. Hyma Lakshmi* Dr. K. Ch. Sri Kavya Professor, Department of Electronics and Communication Engineering, KLEF. Guntur, Andhra Pradesh, India. Dr. Tenneti Madhu Principal, Bhimavaram, Andhra Pradesh, India Dr. K. Sarat Kumar Professor, Department of E.C.E., KLEF, Guntur, India. Satellite images (SI) play a vital role in various remote sensing applications like geoscience, geographical studies, observing the earth's atmosphere, monitoring natural disasters, etc. The SI are used in these applications require high-resolution. The performance of the wavelet transforms based resolution enhancement methods depends on the type of the mother wavelet used and it varies with image to image. The novel robust SI resolution enhancement technique including Optimized wavelet transform based image decomposition and Gaussian interpolation is proposed in this paper. Optimized wavelet decomposition is obtained using the Stochastic Diffusion Search algorithm and the Gaussian distribution function is used for interpolation. The proposed method is compared with the Discrete wavelet decomposition and Gaussian interpolation resolution enhancement method and proved that the proposed method gives the best results for any image. 02 28 2020 2609 2612 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2056.029420 https://www.ijitee.org/portfolio-item/D2056029420/ Research Scholar, Dept. of EEE, Sathyabama Institute of Science and Technology, Tamil Nadu, India. Balamurugan Annamalai* Sivakumaran Thangavel Swaminathan Professor & Principal, Dept. of EEE, Sasurie College of Engineering, Tirupur, Tamil Nadu, India. This article proposes a new method for solving the diagnosis of faults in a multiphase induction motor using a least-squares filter (LMS) and a neural network. The proposed hybrid fault diagnosis method includes an efficient LMS-based feature extractor and an artificial neural network fault classifier. First, the LMS method is used to obtain efficient functions. The performance and efficiency of the presented neural network hybrid classifier is evaluated by testing a total of 600 samples, which are modeled on a failure model. The average correct classification is 96.17% for different fault signals, respectively. The result obtained from the simulation analysis shows the effectiveness of the proposed neural network for the diagnosis of faults in the multiphase induction motor. 02 28 2020 2370 2374 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2057.029420 https://www.ijitee.org/portfolio-item/D2057029420/ Mathematics Division, School of Advanced Sciences, VIT, Chennai, Tamilnadu, India. S Venkatesh* B J Balamurugan Mathematics Division, School of Advanced Sciences, VIT, Chennai, Tamilnadu, India. The Narayana prime cordial labeling of a graph GU,E is a process of assigning the binary numbers 0 and 1 to the edges satisfying the cordiality condition through a 11 function on U and an induced function on E. In this manuscript, we compute this labeling to certain cycle related graphs and tree related graphs viz. (i) ladder graph, (ii) wheel graph, (iii) fan graph, (iv) double star graph, (v) bistar graph and (vi) generalized star graph.. 02 28 2020 3099 3104 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2065.029420 https://www.ijitee.org/portfolio-item/D2065029420/ Assistant Professor, Sona College of Technology (Autonomous), Salem, Tamilnadu, India. D. Nandakumar* M. Arivoli Assistant Professor, Sona College of Technology (Autonomous), Salem, Tamilnadu, India. Steel slag annual production in India is about 12 million tonnes per annum. Steel slag is one of the industrial residue came out from steel industries. The amount of steel slag produced from different steel industries is 150-200kg per tonnes of steel produced These steel slag is dumped in land and pollute the environment. Paper mills produce the large amount of lime sludge is about 5 lakh tonnes per annum. These steel slag used as binder material and coarse aggregate also in different sieve sizes. These both steel slag and lime material contains large amount of calcium mineral compared than other waste materials. The conventional burnt clay brick manufacturing firing process develops the 750 million tonnes of co2 emissions per year. The Bio mineralised steel slag bricks developed by using these waste materials and bacillus bacteria. These microbes generates the calcium carbonate precipitation in the steel slag bricks. The strength development of these BMSS bricks were achieved by addition of NBU medium supply and carbonation process. The scanning electron microscope (SEM), mineralogical composition analysis, X-ray diffraction analysis, compressive strength and water absorption test are conducted to support the strength development in bio mineralised steel slag bricks. 02 28 2020 2975 2980 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2073.029420 https://www.ijitee.org/portfolio-item/D2073029420/ Research Scholar, Computer Science and Engineering, IFTM University, Moradabad, India. Gambhir Singh* Dr. Rakesh Kumar Yadav Department of Computer Science and Engineering, IFTM University, Moradabad, India. Mobile ad hoc network is appealing mechanization in many applications, including disaster recovery and communication systems and rescue due to the flexibility offered by the diverse network. An equivalent network, although it has been found that legitimate can operate independently, or may link to the wider Internet. A framework has been introduced in recent years operators and attackers, have used this network environment. Mobile Ad hoc Network is the main concern about dynamic routing access. Mobile ad hoc network provides several well-known protocols for routing responsive like DSR, AODV, TORA, etc. AODV can route both unicast and multicast. AODV routing protocol cannot protect against a wormhole attack. In this paper, we implement a technique of pseudo-DNA cryptography, focused on the molecular biology’s central dogma. In this approach, we simulate the central dogma's transcription and translation process, and even some extra features to make it difficult to crack the resulting ciphertext and defense against wormhole attack. In the sense of ratio for packet drop, throughput and the delay between two nodes we also examine the impact of the wormhole attack on a parameter of ad hoc network. 02 28 2020 2613 2620 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2075.029420 https://www.ijitee.org/portfolio-item/D2075029420/ Dept. of Instrumentation & USIC, Gauhati University, Guwahati-781014, Assam, India. Sudipta Hazarika* Rajdeep Choudhury Dept. of Instrumentation & USIC, Gauhati University, Guwahati-781014, Assam, India. Sarat Saikia Horticultural research station, Assam Agricultural University, Guwahati 781017, Assam, India. Utpal Sarma Dept. of Instrumentation & USIC, Gauhati University, Guwahati-781014, Assam, India. The inherent ability of most living organisms to perceive their immediate environment based on sensory responses has immensely contributed to their survival in the harshest of conditions. Animals rely on their olfactory sense to assess the quality of food before intake. This paper addresses a technique of using the electronic nose for distinguishing Khasi Mandarin orange plants infected by a virus called Citrus Tristeza Virus (CTV) in terms of their degree of infection. Leaves from 16 plants were collected and, tested for CTV infection using the standard serological test, Enzyme-linked Immunosorbent Assay (ELISA), prior to electronic nose (e-nose) analysis. Essential oil was extracted from the leaves using hydro distillation and the extracted oils were analyzed with commercial e-nose system Alpha MOSFOX 3000 system. Bootstrapped ensemble of support vector classifier was used for classifying the samples. The classifier model was optimized with the best parameters and a kernel specific performance evaluation was done for finding out the best model for classification. Among the linear, radial basis function and polynomial kernels, the linear kernel of the classifier performed the best among all the kernels with an accuracy of 97.67% and a Cohen’s Kappa score of 95.25%. Dimensionality reduction techniques like principle component analysis and linear discriminant analysis were also used for graphical visualization of the classification boundaries. The dimensionally reduced dataset was also fitted to the optimized bootstrap ensemble support vector classifier and the performance of the classifier was analyzed. The performance scores of the classifier models reveal the possibility of using e-nose technique in detecting CTV infected plants. 02 28 2020 2981 2985 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2077.029420 https://www.ijitee.org/portfolio-item/D2077029420/ Assistant Professor, Department of Electrical and Electronics, SIRTS, Bhopal, India. Shiv Kumar Sonkar* Prashant V. Baredar Chairman & Professor & Head, Department of Energy, Energy Centre, MANIT, Bhopal, India. Pushyamitra Mishra Assistant Professor, Department of Mechanical Engineering, MANIT, Bhopal., India. Biodiesel is an effective alternative fuel that can be used in vehicles. These biodiesels can be obtained from different sources such as vegetable oil, animal oil, non-food biomass, algae and artificially obtained oil. This document reviews different works considering the utilization of biodiesel, its blends and the impact on the IC engine performance and emission. These review study are categorized in four categories in order to get a clearer idea of the biodiesel and its impact on the engine. These categories are divided as engine performance, engine emissions mainly of NOx, impact of biodiesel on engine component and vice versa, and different generations of biodiesel. The first category describes the research work on the impact of biodiesel on the emission of NOx. Several investigations have been studied regarding this and presented in this review. Second category in this document deals with the effect of biodiesel when used in an IC engine, on the performance of IC engine and also the piston thrust inside the chamber. The third category shows several investigations that were studied and presented the work regarding the effects of biodiesel on the engine components, such as fuel delivery materials (FDM). It also has been seen that the deterioration of biodiesel can also happen under common rail diesel engine operation. And the last categorization was done considering the yield of biodiesel which is divided on the basis of its origin into four generations from where biodiesel is actually extracted. Several authors have performed their works which adheres the last category and explained the different impact of different generation of biodiesel. In the applications, it was observed that it has been seen as the accurate replacement of diesel especially in the IC engines. Also the much lesser harmful emission and less amount of emission are observed. After all these, the performance of engine is also seen as improved. 02 28 2020 2601 2608 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2083.029420 https://www.ijitee.org/portfolio-item/D2083029420/ Faculty, Department of Chemical Engineering, University Technology MARA, 40450 Shah Alam, Selangor, Malaysia. Istikamah Subuki* Ainina Kamarulzaman Faculty, Department of Chemical Engineering, University Technology MARA, 40450 Shah Alam, Selangor, Malaysia. Nor Fadhreen Mohd Dahlan Faculty, Department of Chemical Engineering, University Technology MARA, 40450 Shah Alam, Selangor, Malaysia. Recently, the patient that requires bone replacement has increase, especially the patients who suffering from bone cancer, trauma and ageing. This attracts attention of researchers related to biomaterial fields to synthesis materials from biomaterials waste for bone tissue replacements. Hydroxyapatite was identified as a suitable source for bone substitution due its excellent bioactivity and biocompatibility. The strategies for tissue engineering include developing those cells to form the required tissue/organ in-vitro before inserting them into the body. This study is aimed to investigate In-Vitro properties of hydroxyapatite (HAp) specimens synthesize from the clamshells via precipitation method. HAp moulded specimen were immersed in the simulated body fluid (SBF). It displayed that the development of apatite layers materialized in the surface of HAp after being immersed for 25 days in the 1.5SBF. 02 28 2020 2782 2786 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2084.029420 https://www.ijitee.org/portfolio-item/D2084029420/ Associate Professor, Department of Computer Science, Dravidian University, Kuppam, Andhra Pradesh, India. Dr V.Kiran Kumar* Mrs Ramya Research Scholar, Department of Computer Science, Dravidian University, Kuppam. Andhra Pradesh, India. In various applications data is shared and reused through a common framework like Semantic Web. In essence, in the ever-expanding sphere of the web, huge quantities of web content is created and made available for men and machines for their interpretation and application. In the present paper, an attempt has been made to develop a “scutter”, other wisely known as semantic crawler that essentially collects and stores information in a centrally-located database by crawling through the semantic content. The projected ‘scutter’ is based on Jena 3.0 Framework, which is a freely downloadable language software available on https://jena.apache.org/download/. In this process, a RDF file is taken as the seed input file after which the ‘scutter’ accesses other RDF documents by crawling through ‘rdfs:seeAlso’ property, thereby designated as an automatic extraction of semantic information emanating from various websites. Also, certain privacy related issues, especially in FOAF metadata is discussed in this paper. 02 28 2020 3255 3258 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2085.029420 https://www.ijitee.org/portfolio-item/D2085029420/ Research Scholar, VTU, Department of Information Science and Engineering, BMSIT&M, Bangalore, India. Prof. Shanthi D. L.* Dr. Keshava Prasanna Professor and Dean (Students), CIT Tumkur, India. These-days Wireless Sensor Networks (WSNs) has become integral part of many applications include tracking, monitoring and so on. Nodes are limited in battery, memory and processing capacity. Tracking and monitoring applications continue to work for longer hours; energy is the major constraint for network to transmit sensed data. State of the art specifies that by using clustering method energy-efficiency, scalability, and efficient-data-communication is achieved. Sensors deployed in the network be partitioned to clusters then one of the nodes is designated to become a Cluster Head (CH) that accumulate sensed information and sends to Sink/Base Station (BS). Normally CH is elected by considering nodes remaining energy and topological attributes related to the node in network. In this projected clustering method a centrality-metric “Cluster-Optimal-Degree-Centrality (CODC)”, is defined and also considered other parameters residual energy, distance between CHs, plus number of nodes belonging to a cluster guarantees better cluster configuration and CH selection. Fuzzy-Inference-System takes Expected-Residual-Energy (ERE) and CODC as inputs. Experiments are carried using ns-2; the proposed clustering method improves QoS, and efficiently prolongs network lifetime. 02 28 2020 3154 3161 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2104.029420 https://www.ijitee.org/portfolio-item/D2104029420/ M. Tech VLSI School of electronics Engineering, VIT Chennai, Tamil Nadu, India N. Janardan* T. Lakshman Sai Kumar M. Tech VLSI School of electronics Engineering, VIT Chennai, Tamil Nadu, India. Multipliers play crucial role in present days in the area of digital signal processing and in communication systems applications. The entire system performance depends on speed area and power of the multipliers. In our paper, we developed a 64x64 bit complex floating-point multiplier with 64bit IEEE 754 format multipliers having less delay. Vedic multiplier of ripple carry adder based is suggested for mantissa multiplication in IEEE 754 format. Suggested Vedic multiplier uses historic Vedic Indian mathematics sutra called Urdhva-Tiryagbhyam for Vedic multiplication. The architecture Proposed for 64x64 bit complex floating-point multiplier is in Xilinx ISE 14.2 FPGA navigator in Verilog HDL. Eventually, the outcomes of the suggested multiplier will differentiate with traditional booth multiplier and array multiplier which represents clearly that complex multiplication using suggested architecture gives less delay, power and low area. 02 28 2020 2986 2989 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2106.029420 https://www.ijitee.org/portfolio-item/D2106029420/ Department of C.S.E, Guru Nanak Institutions Technical Campus Ranga Reddy, Telangana, India. Ugendhar Addagatla* Dr. V. Janaki Department of C.S.E, Vaagdevi Engineering College Warangal, Telangana, India Security and data propagation are the two major concerns in wireless adHoc network. The optimal routing with power conservation and traffic monitoring defines the operational efficiency of the adHoc network. Wherein energy conservation and routing security are used as a measuring parameter in controlling the traffic flow, no two parameters are defined in together to optimize the route selectivity in the network. The monitoring of routing parameter in providing secure route is governed by the characteristic optimization of forwarding link and the approach of link selection. In this paper, an approach for optimal link selection for secure routing using multi attribute monitoring and controlling of traffic flow is presented. The proposed work defines a fairness factor based on multiple monitoring attribute to control the operational efficiency of the network. The multi attribute monitoring offers a more reliable and secure path in adHoc network in traffic flow modeling. The validations of the proposed approach were developed following the energy conservation and security provisioning in adHoc network. 02 28 2020 2990 2997 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2107.029420 https://www.ijitee.org/portfolio-item/D2107029420/ Assistant Professor in the department of Computer Science, Banasthali Vidyapith, Rajasthan, India. Karuna Sharma* Saurabh Mukherjee Professor in the department of Computer Science, Banasthali Vidyapith, Rajasthan, India. In the aeon of deep learning, CNN outperform significant part in medical image analysis. CADx(“Computer Aided Detection and Diagnosis “) for Mammography utilizes significant features to detect and diagnose breast malignancy. Now a day CNNs based CADx are worth popular due to automatic relevant features extraction. CNNs can be trained from ground up for medical images but due to finite number of medical images transfer learning and data augmentations are used for training. And also performance of CADx can be decreased due to some factors like appearance of noise, artifacts, low contrast in both CC and MLO views of Mammogram and pectoral muscles which appears in MLO view of Mammogram. Mammograms can contain different types of abnormality like Micro-Calcification, Masses, Architectural distortion in case of breast cancer. In this work we developed a Web Based MATLAB Solution for the classification of Micro-Calcification malignancy either benign or malignant. This web based solution performs different steps to remove artifact, to enhance contrast, to segment pectoral muscle and to extract breast profile. At the final step proposed system classify mammograms either into benign or malignant. It has been examined on mammographic images containing both views from CBIS-DDSM database. 02 28 2020 2439 2446 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2108.029420 https://www.ijitee.org/portfolio-item/D2108029420/ Research Scholar, Department of CSE, Periyar Maniammai Institute of Science & Technology, Vallam, Thanjavur-613 403, India. T. Kavitha* K. Lakshmi Professor, Department of CSE, Periyar Maniammai Institute of Science & Technology, Vallam, Thanjavur-613 403, India. In the last few years, Deep Learning is one of the top research areas in academia as well as in industry. Every industry is now looking for a deep learning-based solution to the problems in hand. As a researcher, learning “Deep Learning” through practical experiments will be a very challenging task. Particularly, training a deep learning network with huge amount of training data will make it impractical to do this on a normal desktop computer or laptop. Even a small-scale application in computer vision using deep learning techniques will require several days of training the deep network model on a very higher end Graphical Processing Unit (GPU) clusters or Tensor Processing Unit (TPU) clusters that makes impractical to do that research on a conventional laptop. In this work, we address the possibilities of training a deep learning network with an insignificantly small dataset. Here we mean “significantly small dataset’ as a dataset with only few images (<10) per class. Since we are going to design a prototype drone detection system which is a single class classification problem, we hereby try to train the deep learning network only with few drone images (2 images only). Our research question is: will it be possible to train a YOLO deep learning network model only with two images and achieve a descent detection accurate on a constrained test dataset of drones? This paper addresses that issue and our results prove that it is possible to train a deep learning network only with two images and achieve good performance under constrained application environments. 02 28 2020 3105 3111 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2112.029420 https://www.ijitee.org/portfolio-item/D2112029420/ Research Scholar, PG and Research Department of Computer Science and Applications, Vivekanandha College of Arts and Science, TN, India. Ganapathy Subramaniam Balasubramanian* Dr. T. Ramaprabha PG and Research Department of Computer Sciences and Applications, Vivekanandha College of Arts and Science, Tiruchengode, TN, India. Constant streaming of data for any instances at such high volumes provides insight in various organizations. Analyzing and identifying the pattern from the huge volumes of data has become difficult with its raw form of data. Visualization of information and visual data mining helps to deal with the flood of information. Constant streaming of data for any instances at such high volumes provides insight in various organizations. Analyzing and identifying the pattern from the huge volumes of data has become difficult with its raw form of data. Visualization of information and visual data mining helps to deal with the flood of information. Visual data representation takes the data and its results to all the stakeholders in a meaningful manner which comes out of the data mining process. Recent developments have brought a large number of information visualization techniques to explore the large data sets which can be converted into useful information and knowledge. Observations and inspection data gathered from chemical and gas industries are being piled up on a daily basis as raw data. Continuous analysis is a new term evolving in the industry which continuously performs on the streaming data to have real-time analysis and prediction on-live. In this paper, usage of the various graphing model as per the respective information obtained from the organization have been discussed and justified. It also describes the value addition in making the decisions by representations through graphs and charts for better understanding. Heatmap, Scattergram and customized Radar plots the analyzed data as in the required format to visualize the prediction done for the occupational incidents in chemical and gas industries. As a result of the graphing model, representation provides a higher level of confidence in the findings of the analysis. This fact takes a better visual representation technique and transforms them to provide better results with faster processing and understanding. 02 28 2020 3112 3116 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2208.029420 https://www.ijitee.org/portfolio-item/D2208029420/ IT department, King Abdulaziz University, Jeddah, Saudi Arabia. Mounira Taileb* The development of automatic trademark image retrieval systems becomes a necessity because of the increasing number of registered trademarks in all countries. The goal is to protect the registered trademarks from counterfeiting and infringement. This paper introduces a trademark image retrieval system using indexing techniques. The proposed system is described by giving an overview about its architecture and describing in details all its components. The goal is to allow researchers and developers in image retrieval to build their own trademark retrieval system using the indexing techniques. Each part of the proposed system is considered as a component that can be improved or replaced. The reader can have a clear idea on: (1) the type of visual features to extract from the trademark images, (2) the indexing technique that can be used to organize the extracted features and speed-up the search and (3) how to perform a similar search for a new trademark image. The proposed system has been evaluated using several global features and the best performance is obtained when using Zernike moments coefficients with order 12. 02 28 2020 389 392 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D9057.029420 https://www.ijitee.org/portfolio-item/D9057029420/ Department of Information Systems, College of Computer and Information Science, King Saud University Riyadh, KSA Alaaeldin Hafez* Hanan A. Hosni Mahmoud Department of Computer Science, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, KSA The continued scaling of the device and interconnect in the deep submicron jurisdiction of the complementary metal oxide semiconductor (CMOS) very large scale design (VLSI) has brought many new design challenges and exposed the limitations of the traditional VLSI design. One of the most severe problems in the deep submicron is that the circuit tend to malfunction by producing incorrect outputs in the event of inputs that have glitch. Such noise problem has emerged as the critical reliability problem in the deep submicron, in addition to the power dissipation problem. In this proposal, new research is proposed to counter the noise problem through novel circuit design techniques and methodologies. As we continue in deep submicron, the reliability of such designs is reduced as the output levels of such circuit suffer because of voltage scaling. We present our research along with the results and then describe the further proposed research. The research techniques are described using the combinatorial gates which serve as the critical path component in many designs. Also, an efficient flip-flop CD, that is conditionally discharged when there is no input changes and the input remains high to high, is proposed. This new flip-flop reduces the switching state activity, and is almost glitch-less at the output. The results from our proposed techniques demonstrate at least 2.3x the noise-immunity over the best known results in the literature. 02 28 2020 636 639 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D9059.029420 https://www.ijitee.org/portfolio-item/D9059029420/ ICES Laboratory, ENSIAS, Mohammed V University, Rabat, Morocco. Zouheir Labbi* Mohamed Senhadji ICES Laboratory, ENSIAS, Mohammed V University, Rabat, Morocco. Ahmed Maarof ICES Laboratory, ENSIAS, Mohammed V University, Rabat, Morocco. Mostafa Belkasmi ICES Laboratory, ENSIAS, Mohammed V University, Rabat, Morocco. Internet of Things IoT become a recent concept of communication technologies and a novel computing paradigm. The idea is to connect a variety of objects or things (e.g., RFID tags, NFC tags, sensors, etc.), which can interact and exchange data with each other anywhere and everywhere over the internet. With the evolution of IoT, the volume of data interchanged among connecting IoT devices is increasing at a remarkable scale due to the increase in number of the connected objects. Most of IoT devices are constrained devices and low resources that handling confidential and sensitive data. Therefore, using conventional cryptographic methods are unsuitable due to many issues and challenges like limited computational power, memory space, energy resources, performance cost, and security requirement. For that, lightweight cryptographic primitives (LWC) have been introduced. Many kinds of research continue moving forward to find a suitable algorithm that meets the specific demands of the IoT application. This paper provides an overview of the LWC primitives for IoT environment and presents various LWC algorithms based on their key dimension, block size, structures and number of rounds. We examine also the security viewpoint for the constrained IoT environment focusing on the relevant research challenges, difficulties and solutions. Finally, we proposed a secure scheme for improving the constrained IoT environment and conclude by discussing the open issues. 02 28 2020 181 188 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D9060.029420 https://www.ijitee.org/portfolio-item/D9060029420/ Assistant Professor, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India. M. Vigneshwaran* S. Gowtham Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India. M. Jayapranesh Student, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India. A.N. Mohanakumar Student, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India. S Ljaz Ahamed Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India. Flexible workshop problem (FJSP) is an extension of the classic job shop problem (JSP) that allows one operation that can be performed from a collection of alternative machines on a single machine. It is closer to the actual condition in manufacturing. Due to the additional conditions to assess the allocation of system operations, FJSP is more It's also a typical problem in combinatorial optimization. But the difference is that all the workers in the shop floor may or may not be handled in all the computers. In just one machine or two machines, a job can be processed or a separate task in all machines may have to go through the processing in order to be finished. Each computer has different work sequences. So it's an internet str complex. The classical workshop scheduling problem varies from the problem of the flow shop and the work flow is not unidirectional. It is more complex than JSP, combining all JSP's problems and complexities. All workers have the same operations series. In this field, in the objective of minimizing "make period time" and mean flow time, the problem is considered with bi-criteria.. nitially manual calculation is done with the question of literature and then with the method of Gantt chart for collecting industrial data. 02 28 2020 595 598 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D9061.029420 https://www.ijitee.org/portfolio-item/D9061029420/ Assistant Professor,Dept of CSE, GRIET, Hyderabad, Telangana India. D.Krishna Madhuri* Dr. R. V. V. S. V Prasad Professor & Head,Dept of IT, Swarandhra College of Engineering & Technology, Narsapur, India. Big data as multiple sources and social media is one of them. Such data is rich in opinion of people and needs automated approach with Natural Language Processing (NLP) and Machine Learning (ML) to obtain and summarize social feedback. With ML as an integral part of Artificial Intelligence (AI), machines can demonstrate intelligence exhibited by humans. ML is widely used in different domains. With proliferation of Online Social Networks (OSNs), people of all walks of life exchange their views instantly. Thus they became platforms where opinions or people are available. In other words, social feedback on products and services are available. For instance, Twitter produces large volumes of such data which is of much use to enterprises to garner Business Intelligence (BI) useful to make expert decisions. In addition to the traditional feedback systems, the feedback (opinions) over social networks provide depth in the intelligence to revise strategies and policies. Sentiment analysis is the phenomenon which is employed to analyze opinions and classify them into positive, negative and neutral. Existing studies usually treated overall sentiment analysis and aspect-based sentiment analysis in isolation, and then introduce a variety of methods to analyse either overall sentiments or aspect-level sentiments, but not both. Usage of probabilistic topic model is a novel approach in sentiment analysis. In this paper, we proposed a framework for comprehensive analysis of overall and aspect-based sentiments. The framework is realized with aspect based topic modelling for sentiment analysis and ensemble learning algorithms. It also employs many ML algorithms with supervised learning approach. Benchmark datasets used in international SemEval conferences are used for empirical study. Experimental results revealed the efficiency of the proposed framework over the state of the art. 02 28 2020 189 200 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D9062.029420 https://www.ijitee.org/portfolio-item/D9062019420/ Assistant Professor of ECE, CIET, Guntur, AP,India. Koteswara Rao Mallaparapu* Dr.K.V. Ramarao Associate Professor of ECE, CIET, Guntur,AP, India. Shaik Masthan Assistant Professor of ECE, CIET, Guntur, AP,India. The key idea of this manuscript is denoising of noisy biological signals. For this wavelet thresholding technique is suggested. To eliminate the noise existing in the signal, mixed thresholding function is considered which is the median of Hard, Soft and Garrote functions. The mixed thresholding function is applied by degraded white gaussian noise Electrocardiogram signal. Two methods that are used to calculate the threshold value is FDR technique and Visu shrink technique. The outcomes of mixed functions are compared with remaining functions using Signal to Noise Ratio (SNR) and Mean Square Error (MSE). It is obvious that the mixed function performs superior than remaining functions using Visu shrink technique and performs better than only Hard function using FDR technique. 02 28 2020 1264 1267 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D9063.029420 https://www.ijitee.org/portfolio-item/D9063019420/ Department of ECE, GATES Institute of Technology, Gooty, AP, India. R. S. Kavitha* U. Eranna Department of ECE, BITM, Ballari, Karnataka. India. M. N. Giriprasad Department of ECE, JNTUA, Anantapur, AP. India. While neural networks have made considerable progress in the area of digital representation, training of neural models requires an enormous data and time. It is well known that the use of trained models as initial weights often leads in less training error than un-pre-trained neural networks. We propose in this paper a digital watermarking system for neural networks. We formulate a new challenge: the integration of watermarks into neural networks through discrete cosine transform (DCT) based approach. For discrete wavelet transform (DWT)-based digital image watermarking algorithms, additional performance enhancements could be obtained by combining DWT with DCT. Throughout the neural networks, we also describe specifications, embedded conditions, and attack forms of watermarking. The technique presented here does not affect the network performance in which a watermark is positioned as the watermark is embedded while the host network is being trained. Finally, we perform detailed image data experiments to demonstrate the potential of neural networks watermarking as the basis for this research attempt. 02 28 2020 599 603 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D9064.029420 https://www.ijitee.org/portfolio-item/D9064019420/ Ph.D. Scholar, Department of Computer Science and Engineering, Shri Jagdishprasad Jhabarmal Tibrewala University. E.V.N. Jyothi* Dr.V. Purna Chandra Rao* Professor, Department of Computer Science and Engineering, SVIT, Hyderabad, India. Presently, usage of Cloud computing is increasing, due to internet availability most of Personal Health Record (PHR) owners outsourcing their records to the cloud, but it is untrusted, so a security mechanism needed in this paper proposing Dynamic Time-based encryption (DTBE), it derived from classic ABE. In the past, many researchers suggested different access controls for secure PHR. Still, most of the access control mechanisms introduce burden to the PHR owner while performing dynamic operations insertion, PHR user revocation, and when it updates, PHR users attribute list. Most of the ABE schemes have several limitations as it cannot efficiently handle adding or revoking users or identity attributes. It needs to keep multiple encrypted copies of the same key that incurs high computational costs. So, there is a need for a suitable access control mechanism that should support effective policies. 02 28 2020 640 645 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D9065.029420 https://www.ijitee.org/portfolio-item/D9065019420/ Department of Science & Humanities, S.V. Polytechnic College, Bhopal (M.P.), India Parul Jain* Mukesh Kumar Mishra Department of Mechanical Engineering, S.V. Polytechnic College, Bhopal (M.P.), India. Considerable expansion of technical education has taken place in India. However, the quality of technical education graduates of the country is a matter of concern. To enhance the quality and standard in technical education, NBA accreditation, a process of benchmarking of academic quality of an engineering education program or diploma engineering education program by an accreditation agency, has been introduced. India is a signatory nation of Washington Accord through National Board of Accreditation. Now, accreditation has become compulsory for quality assurance, recognition of graduates globally, recognition by the stakeholders, for branding and for expansion of the program. However, very few programs have been accredited so far in India. Outcome Based Education is the central feature of accreditation which focuses on outcomes. It is a student centered approach which measures student performance or outcomes in terms of knowledge, skills, and attributes. The institutions intending to apply for accreditation are facing difficulty in preparing Self Assessment Report (SAR), especially CO- PO attainment. The purpose of this paper is to share our experiences of NBA accreditation process, especially assessment of CO and PO attainment. CO attainment is solely measured by direct measurement methods (internal and external assessments). Program Outcome attainment is calculated by both direct attainment method and indirect attainment method (various surveys). Various boards and committees formed for the preparation for accreditation are also outlined in this paper. The accreditation of two programs of our institute by NBA is an important indication of the appropriateness of the methods applied to achieve this goal. Since NBA is a member of the Washington Accord, this study may help not only local readers but also international readers having similar accreditation systems. 02 28 2020 646 657 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D9070.029420 https://www.ijitee.org/portfolio-item/D9070019420/ Department of Civil Engineering, Jaypee University of Information Technology, Waknaghat, (H.P.) India. Niraj Singh Parihar* Ashok Kumar Gupta Department of Civil Engineering, Jaypee University of Information Technology, Waknaghat, (H.P.) India. Expansive clays are one of the most widely found soil type across the globe known for their low strength behavior. A number of studies have been conducted in the past few decades to stabilize such soils using various additives. The traditional stabilizers such as cement and lime not only prove quite costly due to their high industrial demands but also result in exhaustion of the available natural resources. This study is based on admixture of a waste originating from leather industry known as limed leather waste which can be utilized as a potential stabilizer and strength enhancer for expansive clays at the construction sites as a replacement to conventional additives. The utilization of the waste besides treating the problematic soil will also solve the dumping issue of the waste itself and will reduce the environmental hazards. It is found from the study that the waste when used in the ash form is capable of improving the compaction and strength characteristics of the expansive soil substantially. A comprehensive increase in soil strength is also achieved through curing. The SEM results are used to explain the microstructural changes in the soil and agglomeration and generation of silicate gel compounds responsible for increase in strength of the soil-ash mixture. 02 28 2020 604 609 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D9072.029420 https://www.ijitee.org/portfolio-item/D9072019420/ Department of Information Technology, ShriRamdeobaba College of Engineering and Management, Nagpur, Maharashtra. India Ashish Virendra Chandak* In the stock market, it is important to have accurate prediction of future behavior of stock price..Because of the great chance of financial loss as well as scoring profits at the same time, it is mandatory to have a secure prediction of the values of the stocks. But when it comes to predicting the value of a stock in future we tend to follow stock market experts but as technology is progressing we may use these technologies rather than following human experts who may be biased many times. Stock price prediction has been interesting area for investors and researchers. This article proposes an approach towards prediction of stock price using machine learning model Long Short Term Memory. This is an ensemble learning method that has been an exceedingly successful model for predicting sequence of numbers and words. Long Short Term Memory is a machine learning model for prediction. This technique is used to forecast the future stock price of a specific stock by using historical data of the stock gathered from Yahoo! Finance. 02 28 2020 393 396 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D9075.029420 https://www.ijitee.org/portfolio-item/D9075019420/ Dept. of Computer Science, Graphic Era Hill University, Bhimtal, India Janmejay Pant* Manoj Kumar Singh Dept. of Computer Science, Graphic Era Hill University, Bhimtal, India., Amit Juyal Dept. of Computer Science, Graphic Era Hill University, Dehradun, India., Himanshu Pant Dept. of Computer Science, Graphic Era Hill University, Bhimtal, India, Chetan Pandey Dept. of Computer Science, Graphic Era Hill University, Dehradun, India., There are several methods of Soft Computing for analyzing the complex data for making decisions and predictions. Rough Set Theory (RST) is one of the best and relatively new intelligent techniques used in different research area for making predictions. RST is used to discover the patterns of data, handle all the redundant objects and attributes. RST is majorly used for extraction the rules from the given data. In this paper, we will use a medical data set example of cancer for retrieving the rule which is useful to make prediction for the unknown class. 02 28 2020 397 402 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D9078.029420 https://www.ijitee.org/portfolio-item/D9078019420/ Majoring in civil engineering, Faculty of Engineering, Semarang University, Semarang, Indonesia. M. Handajani* A.K. Nugroho Majoring in civil engineering, Faculty of Engineering, Semarang University, Semarang, Indonesia.. Harmini Majoring in civil engineering, Faculty of Engineering, Semarang University, Semarang, Indonesia. One of the methods to raise public interest in Trans Semarang buses is by providing real-time departure and arrival information. Therefore, it is necessary to improve public transportation services using the Monitoring System installed in the Semarang City Transportation Office as well as the Passenger Information System at 5 bus stops of Kesatrian, Elizabeth, UNDIP, UNIKA, and UNNES. This system, however, requires the Automatic Vehicle Location, GPS, and transmission bus's geographical location are determined and sent to the server via the satellite while the tracking info is sent using a wireless system via GSM. The system was designed to display bus location and speed information to estimate arrival time to passengers in real-time to ensure an accurate time of travel is shown on their android mobile phones and monitors at bus stops as well as the Transportation Office. The results obtained from the survey conducted showed 99.2% of 130 respondents were pleased with the implementation of the system. 02 28 2020 1129 1135 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D9086.029420 https://www.ijitee.org/portfolio-item/D9086029420/ Department of CS, Shri Ram Murti Smarak College Of Engineering and Technology, Bareilly, India. Kumari Hemlata* Shahjahan Ali Department of CS, Shri Ram Murti Smarak College Of Engineering and Technology, Bareilly, India. In modernistic years, the examination field of Mobile Ad Hoc Networks has grown rapidly owing to the development of low-cost and wide-ranging wireless systems. Because of its differentiating features and broad variety of applications, MANET is becoming popular. In a MANET, nodes or access point within the propagation range of each other can deliver packets instantly, but nodes which are not in the range of each other must depend on some other node to deliver packets. Network nodes functions not only as hosts, but also as routers that transmit information to or from other network nodes. A MANET can also exhibit the multihop characteristic where “Store and Forward” mechanism is used for transmission of information. MANET’s dynamic nature opens up the network to attacks and security issues as there are distinct mobility patterns for distinct nodes. In this research article, the authors evaluate the different network performance parameters for the DSR routing protocol in a dynamic node mobility MANET environment, i.e. 20m / Sec, 40m / Sec, 60 m / Sec. 02 28 2020 2763 2767 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D9087.029420 https://www.ijitee.org/portfolio-item/D9087029420/ Assistant Professor, S. R. Engineering College, Warangal , Telangana, India. D. Swetha* S. Hari Priya Assistant Professor, S. R. Engineering College, Warangal , Telangana, India. G. Sahithi Assistant Professor, S. R. Engineering College, Warangal, Telangana, India. N. Prabhanjan Assistant Professor, S. R. Engineering College, Warangal, Telangana, India. G. Swamy Yadav Assistant Professor, S. R. Engineering College, Warangal, Telangana, India The purpose of this project is to plan and develop a sunlight based tracker framework that pursues the sun course for creating most extreme out for sun based controlled applications. To get the maximum sunlight in a limited distance, two solar panels were placed in a bi-facial manner and reflectors. LDRs are used to detect the sun's direction. And the energy from the solar panels is stored in a battery. The stored energy is used for street lights. These street lights are automated. This automation process is done by the microcontroller with the help of LDR. The street lights switched ON at night and switched OFF in day times. 02 28 2020 1136 1139 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D9088.029420 https://www.ijitee.org/portfolio-item/D9088029420/ Professor, S R Engineering College, Warangal, Telangana, India R. Gobinath* S. Haripriya Assistant Professor, S R Engineering College, Warangal, Telangana, India N. Prabhanjan Assistant Professor, S R Engineering College, Warangal, Telangana, India. G. Sahithi Assistant Professor, S R Engineering College, Warangal, Telangana, India Saravanan S. P. Assistant Professor, S R Engineering College, Warangal, Telangana, India. Rajesh J. Assistant Professor, S R Engineering College, Warangal, Telangana, India. Urban cities rely on surface water resources such as lakes, rivers for their survival, anthropogenic activities, rapid urbanization and industrialization had put thrust on such water bodies in major cities across India. Bountiful research works conducted also proves that such resources are rapidly depleting, and it also conveys that very few reasons contribute to major deterioration of lakes. Two major parameters that contribute to this deterioration include discharge of sewage into the water bodies and unplanned encroachments along the banks. This study aimed as a sustainable water resource management technique to rehabilitate a highly deteriorated tank in Kovilambakkam village, Peri- urban in Chennai city, India. The tank which is one of the primary sources of water for the area is affected highly due to urbanization and the natural ecosystem is disturbed. A best possible solution for rehabilitation is suggested using Socio-Economic method utilizing qualitative analysis like a PRA tools (Transect Walk, Focus group Discussion, Key Informant Interview, Resource map, Semi-Structured Interview), measures to improve and safe guard the lake were taken. To analyze the performance of the work water quality analysis was done to verify physical, chemical and biological parameters, both before and after rehabilitation is done, it is found that the performance with reference to biological parameters such as MPN index. Promising results were obtained in this study restoring the lake to its original condition which started serving the indigenous people proving the effectiveness of the suggested method. 02 28 2020 2787 2792 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D9090.029420 https://www.ijitee.org/portfolio-item/D9090029420/ Assistant Professor, Department of Information Technology, Faculty of Science and Technology, Suan Sunandha Rajabhat University, Thailand. Sumitra Nuameesri* There are many types of community enterprise products in Thailand but not yet widely known, resulting in not many customers. In some cases, the existing customers have the opportunity to disappear because community entrepreneurs do not have marketing knowledge to help keep and maintain their customers. This paper proposes the development of gamification for improving the customer relationship management in community enterprises on social media such as Facebook. The results showed that the applied gamification for the community enterprise products has the highest level of efficiency evaluation and has the highest acceptance criteria while being used by experts and users. It can be said that Thai gamification on social media could be effectively used to support community enterprises in improving social customer relationship management and buying their products. 02 28 2020 610 614 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D9093.029420 https://www.ijitee.org/portfolio-item/D9093029420/ Teaching Associate School of ECE. REVA University. Bangalore-India Anilkumar C.S.* Suhas G UG Scholar School of ECE. REVA University. Bangalore-India. Sushma S UG Scholar School of ECE. REVA University. Bangalore-India Rishabh Kaur Dingra PG Scholar REVA University Bangalore-India. Mahima Kaur Dingra PG Scholar REVA University. Bangalore-India. Indian economy majorly depends on the agriculture sector hence it is known as the backbone of India. Here agriculture segment accounts for 18% of India’s GDP and is providing employment to 50% of the country workforce. The main aim of this work is to reduce the manual monitoring of soil testing and plant irrigation and help farmers in increasing the agricultural production. The testing of soil is done through various sensors and based on the data received the farmers can cultivate the appropriate crop that is suitable for soil. Detection of plant’s diseases is done through image processing technique. And also includes pest detection and control by using Acoustic sensor and we make use of Ultrasonic sound emitter to keep the pests away from destroying the crops. It alerts farmers through a message. All the information is sent to IBM Bluemix Cloud by ZigBee protocol. A direct communication link is set up between farmers and the consumers without the involvement of any middleman via mobile app. 02 28 2020 201 205 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D9098.029420 https://www.ijitee.org/portfolio-item/D9098029420/ Department of Civil Engineering, Sri Krishna College of Technology, Coimbatore, India. Dona Renjith Balamurali. K* Department of Civil Engineering, Sri Krishna College of Technology, Coimbatore, India. Padmanaban. I Department of Civil Engineering, Sri Krishna College of Technology, Coimbatore, India. Blocks plays a major role in framed and non-framed structure, in framed structures blocks are employed as a filler and in non-framed structures it is employed to transfer the load. These are often used as an alternative for different stones with large weight and are generally used in the construction of buildings. The process of manufacturing of blocks from clay involves preparation of clay by natural weathering process, molding and then drying and burning of blocks. Due to high demand on fine aggregate, an attempt has been made to study saw waste as a partial and total replacement for fine aggregate and binder. A detailed investigation is carried out for Ordinary Portland cement and Portland pozzolana cement with various proportion of saw waste. Saw waste is utilized in the form of dust and ash. Saw waste is a by – product or waste product of wood working operation such as sawing, routing, drilling and sanding. It is sundried and kept in water proof bags. Mostly, the period of drying may be three to ten days. It also depends upon the weather conditions. This work aims to show the comparative studies of saw brick with fly ash brick and conventional brick. Test results of compressive, split tensile and crushing test are investigated. 02 28 2020 658 663 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D9099.029420 https://www.ijitee.org/portfolio-item/D9099029420/ Research Scholar, Department of ECE Jawaharlal Nehru Technological University Kakinada, Kakinada, Andhra Pradesh, India. P. Venkata Lavanya* C. Venkata Narasimhulu Department of ECE, Geethanjali College of Engineering and Technology, Hyderabad, Telangana, India. K.Satya Prasad Vignan’s Foundation for Science, Technology and Research, Guntur, Andhra Pradesh, India. Denoising is a prime objective technique for processing images. Image denoising techniques removes the noises present in an image without interrupting its features and contents. The image gets interrupted by channel or processing noise depending on the applications. Thus, the contaminated noises produce degradable image qualities with respect to subjective and objective approach. To overcome this, image denoising approaches were suggested. In the present research, Dual–Tree Complex Wavelet transform (DTCWT) is utilized to achieve image denoising since they perform multi resolution decomposition by two DWT trees. Soft and hard thresholding methods are used to threshold wavelet coefficients. The present research proposes a novel technique to denoise images which gives image information clearly by thresholding and optimization technique. The optimization is carried through different Meta-heuristic optimization Algorithms Genetic Algorithm (GA) and Grey-wolf optimization (GWO) algorithm. Optimization of threshold value is performed after Bayesian method and the observed output produces better results when compared to other techniques involving Visu shrink, Sure shrink and Bayes shrinkbased on peak signal to noise ratio (PSNR) and visual qualities. 02 28 2020 2621 2627 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E6837.029420 https://www.ijitee.org/portfolio-item/E6837018520/ Asst. Professor, Department of Information Science & Engineering, BMSIT&M, Bengaluru, India. Veena N* S Mahalakshmi Asst. Professor, Department of Information Science & Engineering, BMSIT&M, Bengaluru, India Emotions are important for Humans both at work place and in their life. Emotions helps us to communicate with others, to take decisions, in understand others etc., Emotions recognition not only helps us to solve the mental illness but also are important in various application such as Brain Computer Interface , medical care and entertainment This paper mainly deals with how Emotions are Classified through EEG Signals using SVM (Support Vector machine) and DNN (Deep Neural Networks) . Applying the most appropriate algorithm to detect the emotional state of a person and play the corresponding song in the playlist. Brain signals can be collected using EEG (electroencephalography) devices. 02 28 2020 206 209 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I8103.029420 https://www.ijitee.org/portfolio-item/I8103078919/ Lecturers and Researchers, Department of Architecture, College of Science and Technology, Covenant University Canaanland, Km 10 Idiroko Road, Ota, Ogun State, Nigeria. O.D. Babalola* B.A. Adewale Lecturers and Researchers, Department of Architecture, College of Science and Technology, Covenant University Canaanland, Km 10 Idiroko Road, Ota, Ogun State, Nigeria. O.J. Ediae Lecturers and Researchers, Department of Architecture, College of Science and Technology, Covenant University Canaanland, Km 10 Idiroko Road, Ota, Ogun State, Nigeria. P.A. Aderonmu Lecturers and Researchers, Department of Architecture, College of Science and Technology, Covenant University Canaanland, Km 10 Idiroko Road, Ota, Ogun State, Nigeria. O.A. Fulani Lecturers and Researchers, Department of Architecture, College of Science and Technology, Covenant University Canaanland, Km 10 Idiroko Road, Ota, Ogun State, Nigeria. O.F. Jegede Lecturers and Researchers, Department of Architecture, College of Science and Technology, Covenant University Canaanland, Km 10 Idiroko Road, Ota, Ogun State, Nigeria. Research methodologies (R.Ms) employed in carrying out studies have been found in diverse contexts to influence the outcome. This study examined the determinants of applications of R.Ms in undergraduate and postgraduate studies in Department of Architecture Covenant University Ota, Nigeria. The objectives include analysis of the identified R.Ms attributes and identification of the factors influencing applications of the R.Ms employed in architecture research programs (B.Sc., M.Sc., and M.Phil./Ph.D Degrees) in the University. The methodology adopted for the work is the cross-sectional survey of the 153 final year B.Sc., the M.Sc., and the Ph.D Students using 5-point Likert Scale questionnaire as data collection instruments; and interview of 16 of the students across the levels. Data obtained from the survey; and interview of the students were subjected to descriptive statistics (percentages and frequencies) and inferential statistics (Kruskal-Wallis Test, Linear multiple regression and Cross-tabulation). The results showed that Level/Program (.428), Rating of appropriateness of methodology for current or terminal research (.046), Gender (.044), Type of terminal research (.040), Distance of Residence to Department (.023), are the principal five (5) of the 13 predictors of the dependent variable in the study (representing 72.99% of total contribution to the model with R Square of .796).The study recommended commencement of ‘research methodology course’ which used to be in 400 Level Alpha to be moved from 300 Level Omega to 200 Level Alpha and Omega for early higher mastery, and for supervisors to consciously ensure more applications of R.Ms at undergraduate level beginning from 200 Level. Also female students are to apply quantitative RM more than their usual practice even from early part of undergraduate level. 02 28 2020 3200 3211 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I8408.029420 https://www.ijitee.org/portfolio-item/I8408078919/ Assistant Professor, Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India. Nanthini N.* Soundari D. V. Assistant Professor, Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India. Priyadharsini K. Assistant Professor, Sri Krishna College of Engineering and Technology, Coimbatore, India. The core objective of the project is to automate the backend office work of monitoring stocks daily. The project uses “Robotic Process Automation” to download the daily stock values from NSE website, feed the data into an Excel Sheet and send it to the required recipient through E-mail. Software for robotic process automation (RPA) is designed to perform basic tasks across applications just like human workers. A process with multiple steps and applications is taught to the software robot, such as taking received forms, sending a receipt note, verifying the completeness of the document, uploading the form in a folder, and updating a spreadsheet with the form name, the date submitted, etc. Like deep learning, with some support from programmers, the software robots used in robotic process automation are programmed by the employees to do the tasks in a specific workflow. The software is not learning on its own or trying to adapt new efficiencies or new insights such as tools for enterprise resource management (ERM). RPA acts as a remote worker assistant by clearing up the burdensome, simple tasks that eat up part of the day of each office worker. 02 28 2020 1590 1596 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I8926.029420 https://www.ijitee.org/portfolio-item/I8926078919/ PG Student, Department of Electronics and Communication Engineering MLR Institute of Technology, Hyderabad-43, Telangana, India. Talluri Pranetha* V. Arun Associate Professor, Department of Electronics and Communication Engineering MLR Institute of Technology, Hyderabad-43, Telangana, India. Dr. SVS Prasad HOD, Department of Electronics and Communication Engineering MLR Institute of Technology, Hyderabad-43, Telangana, India. When transporting the goods from one place to another place the components should work perfectly according to our application. This project shows you how to get temperature and humidity values for particular components which are kept in a certain room or area or during the shifting process along with the real time clock. Sometimes due to room temperatures also we can observe a change in the component readings. So in that cases, data logger systems will be helpful. Here we are measuring various weather parameters like temperature, humidity, time and date. For this we require sensors for getting temperature and humidity values and a real time clock is used to get real time. We can retain previous values also by using previous records. Finally, we can display these parameters on the LCD display and save the records so that we can access the previous records. For this storage we can use controller memory or else externally we can connect the memory called SD-card. 02 28 2020 2768 2770 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2341.029420 https://www.ijitee.org/portfolio-item/K23410981119/ Assistant Professor, ECE Dept, MLR Institute of Technology, Dundigal, Telangana, India. K Aruna Manjusha* B. Anusha Assistant Professor, ECE Dept, MLR Institute of Technology, Dundigal, Telangana, India. T. Anuradha Assistant Professor, ECE Dept, MLR Institute of Technology, Dundigal, Telangana, India. P .Santosh Kumar B.tech Student, ECE Dept, MLR Institute of Technology, Dundigal, Telangana, India. Aishwarya Parikh B.tech Student, ECE Dept, MLR Institute of Technology, Dundigal, Telangana, India. Cotton has been picked by hand for over centuries. It is still practiced in some parts of the world. Although, most of the modern countries have machinery for picking the cotton, it is still hand-picked in India. This leads to several health problems and also besmirches the cotton. In order to overcome these problems, mechanized picking is implemented. This is operated manually which reduces the labor cost and the time taken to pick the cotton. It is a one-time investment and cost of maintenance is low. 02 28 2020 210 212 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3006.029420 https://www.ijitee.org/portfolio-item/L30061081219/ Department of Chemical Engineering, Covenant University, Ota, Ogun State, Nigeria. Omodara O.J.* Emetere M.E. Department of Physics, Covenant University, Ota, Ogun State, Nigeria. & Department of Mechanical Engineering Science, University of Johannesburg, South Africa. Ojewumi M.E. Department of Chemical Engineering, Covenant University, Ota, Ogun State, Nigeria. Obanla O.R. Department of Chemical Engineering, Covenant University, Ota, Ogun State, Nigeria. Bolujo E.O. Department of Petroleum Engineering, Covenant University, Ota, Ogun State, Nigeria. The yield of Shea butter extracted was optimized by varying kneading time, kneading temperature, and kneading speed using conventional method of varying one variable at a time (OVAT). Helical shaped impeller mounted on a variable speed Tecmix TM 1100 kneader was used to knead the Shea paste. Shea paste produced by milling crushed Shea nut was kneaded with 125% (wt) water at temperatures ranging from 10 to 35 OC for periods ranging from 0.5 to 8.7minutes. The impeller speed was varied between 260 and 1050 rpm. OVAT optimization conditions were established to be time of 5.36minutes, temperature of 15.90C, and kneading speed of 894.4rpm. The optimized Shea butter yield for these conditions was 24.04%. 02 28 2020 403 410 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3248.029420 https://www.ijitee.org/portfolio-item/L32481081219/ Dept. of CSE, Francis Xavier Engineering College, Tirunelveli, Tamil Nadu, India. Vinola C.* Vimala Devi K., School of CSE, Vellore Institute of Technology, Vellore, Tamil Nadu, India. Valarmathi K. Dept. of ECE, P.S.R Engineering College, Sivakasi, Tamil Nadu, India. Manjula V. School of IT, Vellore Institute of Technology, Vellore Muthurajkumar S. Department of CT, MIT Campus, Chennai, Tamil Nadu, India. Facial Expression Recognition (FER) has gained significant importance in the research field of Affective Computing in different extents. As a part of the different dimensional thinking, aiming at improving the accuracy of the recognition system and reducing the computational load, region based FER is proposed in this paper. The system is an emotion identifying system among the basic emotions, through subject independent template matching based on gradient directions. The model designed is tested on the Enhanced Cohn-Kanade (CK+) dataset. Another important contribution of the work is using only eye (including eyebrows and the nose portion near eyes) and mouth regions in the emotion recognition. The emotion classification result is 94.3% (CK+ dataset) for 6-class FER. 02 28 2020 2771 2776 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3427.029420 https://www.ijitee.org/portfolio-item/L34271081219/ Department of Electronics and Comunication Engineering, St.Joseph’s Institute of Technology,Chennai, India. Samayaraj Murali Kishanlal M* Dr.Jawahar. A Department of Electronics and Comunication Engineering, SSN College of Engineering ,Chennai, India. In this study it is focused to design an architecture for the future optical networks based on PON ( Passive Optical Network) called as FGON (Future Generation Optical Network). The FGON improves the efficiency and reliability of optical networks in providing a seamless data transmission network by integrating the three core concepts namely WDM, PON and OFDM. The proposed network also supports ROF (radio over fiber) for extended coverage of optical signals through wireless in unfavorable domains. In the FGON the input signals are given using a unique technique of creating a dense signals using WDM by creating a uniform comb like structure by using a dual arm Mach Zender Modulator based circuit whose output has nine flat comb structures and then the modulation technique of OFDM is used for enabling the WDM-OFDM-PON We study the performance of the signals generated by the comb structure in a ROF based OFDM-PON simulation network where out of the nine generated signals seven are used for wired network and one for wireless network and one for common uplink channel the various parameters such as the received signal strength FGON network, BER (Bit Error Rate) are noted and analyzed, and the received signals propagation characteristics of the FGON is noted which will be suitable for next generation optical access. 02 28 2020 1140 1146 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3485.029420 https://www.ijitee.org/portfolio-item/L34851081219/ Student, Department of Computer Science, University of Diayla. Worud Mahdi Saleh* Ziyad Tariq Mustafa Al-Ta'i Scholar, Department of Computer Science, University of Diayla. Ghassan Sabeeh Mahmood Scholar, Department of Computer Science, University of Diayla. Implementing cloud computing provides many paths for web-based service. But, data security and privacy requirement become an important problem that limits several cloud applications. One of the key security and privacy concerns is the fact that cloud service suppliers have access to data. This concern greatly reduces the usability of cloud computing in many areas, such as financial business and government agencies. This paper focuses on this important issue and suggests a new approach, so cloud providers cannot directly access data. The proposed approach is divided into two sides: upload side and download side. In upload side, there is three stages, at the first stage; the transmitted file is splitted and then encrypted in order to achieve the data security requirement. At the second stage, the splitted data are integrity checked by MD5 algorithm, in order to achieve integrity requirement. At the third stage, the checked splitted data are stored separately in three -clouds, in order to achieve distribution requirement. In download side, also there is three stages. At the first stage, the data is retrieved from the three-clouds. At the second stage, data integrity is performed using MD5. At the third stage, data decryption and merging are done. The proposed approach is successfully implemented on (25 KB) image. The proposed model is successfully implemented in uploading side dependent on shares3 because provide high security with total time of (8.144 sec), and in downloading side with total side of (9.42). 02 28 2020 2998 3003 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3731.029420 https://www.ijitee.org/portfolio-item/L37311081219/