-74813b3e17f460286df2442 20220708074500178 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 11 30 2019 9 1 MANUU Polytechnic Darbhanga, Satellite Campus of Maulana Azad National Urdu University, Hyderabad, India. Md. Abdul Muqsit Khan* Internet around the world has become the prime source to satisfy the requirement of Entrepreneurs, customer and end users. As user comfort is the primary goal of all the entrepreneurs, the end user interacts through the internet to mine the knowledge. The user interacts the internet by apps and web. To attract the users, the user interface (UI) designers focus on Visual presentations to abet users to interact, comprehend, and navigate to the information. The work presents that how visual perceptions of Web page intricacy by perceptive users' behavior, the indispensable cognitive effort for interaction with the UI can be understood. The work presents an extension of current methods for designing UI using model-based technics, with the methods essential for the design of adaptive capacities required in different phases of development. These developments can be fused in Agent-Based Ergonomic User Interface Development Environment. This technique is bolstered by a solution based on Multi-Agent System (MAS) which offer adaptive capabilities to users, designed using the anticipated technique of Agent-Based Ergonomic User Interface Development Environment (AB-EUIDE). In [27] author has presented the various phases of the AB-EUIDE Framework. In this article author presents the analysis phase of the AB-EUIDE and explains how a compromise is done between Adaptation and Ergonomics while designing the user interface. 11 30 2019 1406 1410 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3997.119119 https://www.ijitee.org/portfolio-item/A3997119119/ Head of the Department Civil Engineering Department, Pace Institute of Technology and Sciences, Vallur, Prakasam Dist., Andhra Pradesh, India. G.Ganesh Naidu* M.Sri Durga Vara Prasad Assistant Professor, Civil Engineering Department, Pace Institute of Technology and Sciences, Vallur, Prakasam Dist., Andhra Pradesh, India. E. Mani PG Scholar, Institute of Technology and Sciences, Vallur, Prakasam Dist., Andhra Pradesh, India. Usage of smart materials in concrete is extensively increasing. This study focuses on behavior of fiber reinforced concrete, using shape memory alloys (SMA) fibers. SMA adopted for this study is NiTi shape memory alloy crystals. Concrete is tested for slump and mechanical properties tested are compressive strength for 7 and 28 days. Flexural strength is tested for 28 days. Constant rates of 1% of SMA fibers are added to the concrete mix. Also regular steel fiber reinforced is prepared and test values are compared with SMA fiber reinforced concrete. 11 30 2019 230 232 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3998.119119 https://www.ijitee.org/portfolio-item/A3998119119/ Civil Department, VTU PG Center, Kalaburagi,Karnataka, India. N.Venkata Ramana* Siddu Shivaraj Dana P.G Student, Highway Technology Department VTU PG Center, Regional Office Kalaburagi, Karnataka,India. K.Yuva Pallavi Ph.D Research Scholar, JNTUA, Anantapuramu, Andhra Pradesh, India. Pervious concrete can be noticed as a gap-graded concrete. This type of concrete treats a new way to control or manage of storm water. The pervious concrete is important to address bionomical issues and confirmable growth. In beside, demand for aggregate to producing concrete is still high while natural resources are reducing. In this connection at attempts has been made for utilization of recycled aggregate in the concrete mix, by replace the natural coarse aggregate in the ratio of 0, 25, 50, 75 and 100%. To obtain the behavior of pervious concrete compressive, split and bearing strength are evaluated. In the addition to those strengths, coefficient of permeability also found. In this experimental work total five mixes are taken to evaluate strengths. A regression model has developed to assess the split tensile strength and ANSYS software has been used to know the stress and strain variation for the cube specimens. From experimental work, it is noticed that, the pervious concrete with recycled aggregate is viable for pavement works. 11 30 2019 233 238 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4003.119119 https://www.ijitee.org/portfolio-item/A4003119119/ Department of ECE, Apeejay Stya University, Gurugram, India Kavita Goyal* Moin Uddin School of Engineering & Technology, Apeejay Stya University, Gurugram, India. Vikas Jindal Department of CSE, ABES Engineering College, Ghaziabad, India. The brain responds with high sensitivity in case of cerebral damage. Brain temperature (BT), cerebral blood flow (CBF), cerebral blood volume (CBV) and intracranial pressure (ICP) are essential parameters for brain revival in case of cerebral damage. For this reason, the coordinated learning of BT, CBF and ICP is required for improving the remedial impacts. Thus, in this exploration, a simulation model has been developed for association between brain tissue temperature (BTT), CBF, CBV and ICP to improve the apprehensions of the ICP. It includes the cardiac output, partial pressures of oxygen and carbon dioxide in cerebral artery and vein, temperature variations of brain tissue, cerebral metabolic process and pressure-volume relationship for cranial cavity. The model simulates the interaction between arterial blood pressure, BTT, produced amount of CO2 from brain tissue, changes in CBV and changes in ICP. The results show that the ICP and CBV will increase with an increase in brain tissue temperature. This model elaborates the physiology of BTT and ICP with less complexity. 11 30 2019 239 246 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4006.119119 https://www.ijitee.org/portfolio-item/A4006119119/ Assistant Professor, UIM, Uttaranchal University, Dehradun, India. Dr. Diksha Panwar* Dr. Monika Bangari Assistant Professor, Tulas Institute, Dehradun, India. Dr. Sandeep Kumar Thakur Assistant Professor, Law College Dehradun, Uttaranchal University, Dehradun, India. Preference advertisement is a promotional system in which marketer claims the superiority of their product or brand over competing product(s) or brand, directly or indirectly. Preference advertisement helps in comparing alternative brands on bases of features, price, and other distinctive information. Brand equity is the total worth of the brand. Brand equity can be measured in two different perspective i.e. cognitive psychology is the attribute perception that is related to the awareness regarding the brand features and associations whereas another information economics is associated towards strong brand name which is created through the quality of the product and good quality generates a premium prices for the brand. In the monetary terms it’s the value that the organization expects from the brand. Preference advertisement can either be transferred directly to the brand. The objective of this study is to analyze the impact of preference advertisement in building the brand equity. Therefore to achieve the objective, different analysis tools used in the study are: mean, confirmatory factor analysis and structural equation modeling technique. The finding shows that preference advertisement has a significantly positive impact on building the brand equity. 11 30 2019 247 252 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4007.119119 https://www.ijitee.org/portfolio-item/A4007119119/ (Bukhara, Uzbekistan) (Phd) Senior teacher of the Bukhara Enginering Technological Institute, Shavkat Husenovich Behbudov* Anvar Djuraevich Juraev (Tashkent, Uzbekistan) - Doctor of Technical Sciences, Professor, Department of general technical disciplines, Tashkent Institute of Textile and Light Industry, Tashkent city, Shohjahon Abdurakhmon Rafiq o`gli Amonov (Bukhara, Uzbekistan) teacher of the Bukhara Enginering Technological Institute, Dilnoza Xayriddinovna Qodirova (Bukhara, Uzbekistan) teacher of the Bukhara Enginering Technological Institute In article the device for drawing of a polymeric composition on lines of ground off materials is resulted. Dynamics of the machine unit is considered, laws of movement of rollers of the device are defined, to a basis of the analysis of graphic dependences recommended parameters of system are proved. On a basis full factorial experiments parameters of the device for various sewed materials are recommended. 11 30 2019 2069 2074 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4008.119119 https://www.ijitee.org/portfolio-item/A4008119119/ Ph.D, Research Scholar, Department of Computer Science, M. D. University, Rohtak., India. Deepak Sharma* Aaisha Jameel PG student, CDAC, IP University, New Delhi, India. Security is one of the most vital aspect for implementing FANETs in adverse environments. Hence, research in this area has emerged as an important FANETs field in the recent past. Compared to wired networks, FANETs are more vulnerable to security attacks due to lack of a trusted centralized authority and easy eavesdropping. Further, as nodes in flying ad-hoc networks are susceptible to attacks, a trust model based on direct, as well as indirect trust degrees from similar trusted neighbors is integrated in order to overcome the vulnerability due to attacks by malicious/selfish nodes and to provide reliable packet transmissions. Fading away of trust is incorporated with a perspective to ensure the uncertainty of trust with time until it is updated. Also, AODV algorithm is used for routing in combination with calculated trust values so that efficient transmission of messages can take place. 11 30 2019 253 257 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4010.119119 https://www.ijitee.org/portfolio-item/A4010119119/ Research Scholar, Department of Computer Science and Applications, MD University, Rohtak, India. Deepak Sharma* Dr. Priti Sharma Assistant Professor, Department of Computer Science and Applications, MD University, Rohtak, India. Weather forecasting is essential because it helps to deal with the environment related future anomalies. Accurate and timely predications can contribute largely for taking safety measures in the ongoing projects such as agriculture tasks, flight operations, transportation tasks and many others. There are large number of meteorologist all over the world who are trying their level best to predict the aspects of environment using data mining techniques. This paper contains some of the best work done in rain fall prediction using data mining techniques. This paper helps the researchers to study the literature of this field in a crisp, summarized and encapsulated way. 11 30 2019 258 263 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4011.119119 https://www.ijitee.org/portfolio-item/A4011119119/ Department of Mechanical, Sri Sairam Engineering College, Chennai, TamilNadu, India. S. Krishnaraj* A. Ravinthiran Department of Mechanical, Sri Sairam Engineering College, Chennai, Tamil Nadu, India. S. Ganapathy Department of Mechanical, Sri Sairam Engineering College, Chennai, Tamil Nadu, India. A.G.S. Siddharth Department of Mechanical, Sri Sairam Engineering College, Chennai, Tamil Nadu, India. K. Karan Department of Mechanical, Sri Sairam Engineering College, Chennai, Tamil Nadu, India. Solar Energy is the one of best renewable source of alternative energy. The efficiency of the solar panel can be improved more by tracking it in such way that it always faces perpendicular to the sun-rays throughout the day rather than it is kept fixed at an angle. At present, there are three methods for solar tracking, out of which refrigerant method is found to be more efficient as it is of a passive type and requires no external power source for its operation. In this project we have used R-134a [Tetrafluoroethene (CF3CH2F)] as the refrigerant medium for tracking the panel. To store the refrigerant, we have made use of two canisters and a copper conduit for connecting the canisters. The tracking system works on the principle of Differential Pressure Controlled system where high-pressure refrigerant from one canister to other flows and due to imbalance in the weight of canisters, the panel will tilt in the direction of the side where the weight is high due to gravity. Thus, our main objective is to harvest more solar energy at a much lower cost than the available trackers. 11 30 2019 264 269 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4017.119119 https://www.ijitee.org/portfolio-item/A4017119119/ Research Scholar, Department of Computer Science, Sri Ramakrishna College of Arts and Science, Coimbatore, Tamilnadu, India. K. Indupriya* Dr. Anna Saro Vijendran Dean, School of Computing, Sri Ramakrishna College of Arts and Science College, Coimbatore, Tamilnadu, India. The most essential process in image processing applications is eliminating the noisy pixels from the images and acquiring the noise-free images with better reconstructed quality. This process has high complexity due to the segmentation of image patches from the noisy images. To simplify this process, Neuro-Fuzzy filtering with Optimum Adaptive parameterized Mask Non-Harmonic Analysis in Curvelet Transform domain (NF-OAMNHA-CT) has been proposed for image denoising. It uses NF edge detector instead of canny edge detector for segmenting and preserving the edge regions including homogeneous texture boundaries with minimized edge distortion. However, it requires gradient information about the error function with respect to the parameter measures during training of NF for optimizing their parameters. Also, it often affects with the fixed local minima. Therefore in this article, Recurrent Polak- Ribière-Polyak Conjugate Gradient-Based Neuro-Fuzzy (RPCGNF-OAMNHA-CT) technique is proposed to enhance the edge-preserving segmentation in image denoising. At first, the noisy images are defined in the CT domain and fed to the RPCGNF edge detector as edge-preserving segmentation that segments and extracts the edge regions as well as homogeneous texture regions. In this RPCGNF technique, recurrent mechanism is applied to construct PCGNF as an updated edge-preserving segmentation technique that learns their parameters with high efficiency and speeding up the convergence. As a result, the edge regions and homogeneous textures are synchronously segmented as noisy pixels until either the PCGNF converges to the desired accuracy of segmentation or a termination criterion is reached. Further, OAMNHA is applied on each segment to remove the noisy pixels from the images and obtain the noise-free images accurately. Finally, the experimental results illustrate the proposed RPCGNF-OAMNHA-CT technique achieves higher efficiency than the NF-OAMNHA-CT technique in terms of Peak Signal-to-Noise Ratio (PSNR), Mean Absolute Error (MAE) and Structural Similarity (SSIM). 11 30 2019 270 276 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4018.119119 https://www.ijitee.org/portfolio-item/A4018119119/ Assistant Professor, R.M.K. Engineering College, Chennai, Tamil Nadu, India. Ms.K. Jeevitha* Ms.A. Iyswariya Assistant Professor, R.M.K. Engineering College, Chennai, Tamil Nadu, India. Mr.V. Ramkumar Assistant Professor, R.M.K. Engineering College, Chennai, Tamil Nadu, India. Mr.V.Praveen Kumar Senior Engineer, Nagman Instrumentation and Electronics Pvt. Ltd, Chennai, Tamil Nadu, India. Nowadays, we use intelligent devices in every part of our lives mainly in automobiles. Horn is one of the important parts of the vehicle but at the same time, it creates excess noise to the surroundings. To use it wisely, we have restricted the number of the horn to be pressed. The driver can only use a certain number of horns per hour. If the horn exceeds, then fine will be charged from the concerned and also the duration of the horn is limited. During the emergency time, the fine amount is relaxed. To make sure we use a camera which will closely watch the situation of the person. The cautions will be given to the driver through the help of LCD display and speaker. If the additional cost is not paid then the car will be locked automatically by blocking the engine so after paying the charge it will be released. This all details will be uploaded in both companies as well as in the government's server. One more feature is, a sensor will be used to sense the purity of the oil and will be updated in the server for the change of oil. 11 30 2019 707 710 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4021.119119 https://www.ijitee.org/portfolio-item/A4021119119/ Assistant Professor, Sri Sairam Engineering College, Chennai, Tamilnadu, India P. Vijaya Rajan* T. Babu Assistant Professor, Sri Sairam Engineering College, Chennai, Tamilnadu, India G.Karthik Pandiyan Assistant Professor, Sri Vidya College of Engineering and Technology, Virudhunagar, Tamilnadu, India. D. Venkatragavan UG Scholar, Mechanical Department, Sri Sairam Engineering College, Chennai, Tamilnadu, India. R. Shanmugam Sri Sairam Engineering College, Chennai, Tamilnadu, India. The main aim of the project is to prevent the Dooring accidents and to provide safety for the passengers and pedestrians. We are eliminating this problem by the use of Auxiliary Safety locking system connected to each door of the vehicle using Arduino. To prevent accident due to passenger’s carelessness, the upcoming vehicle is sensed using an ultrasonic sensor and the doors of the vehicle are locked automatically. Due to this, the passengers can’t open their car door from inside while the vehicle is moving towards the car. After the vehicle is passed, the doors are unlocked. 11 30 2019 277 281 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4022.119119 https://www.ijitee.org/portfolio-item/A4022119119/ Assistant Professor, S.B.Patil College of Engineering, Indapur, Pune, Maharashtra, India. Ashwini Kore* Shailaja Patil Professor, Department of Electronics and Telecommunication, and Dean (Research and Development), Rajarshi Shahu College of Engineering, Pune, Maharashtra, India. Nowadays Internet of Things (IoT) is emerging and effective technology along with Wireless Sensor Networks (WSNs) in a few constant applications in which the human intervention significantly reduced along with better human life. In IoT enabled WSNs, the sensor nodes used to assemble the fragile data and communicate towards the sink hub and actuators for automotive remote monitoring process. However as the WSNs operating at free frequency band, it is powerless against different attacks at various layers of WSNs protocol stack in which attackers may try to hack and compromise the user’s personal information. There are different types of attacks in WSNs and several research works conducted to protect from these attacks in WSNs. Majority of security methods proposed are based layered technique. However, the layer approach is not enough to protect the WSNs effectively as the many attackers used the cross-layer information to perform the attacks. This paper presents the study over the layered security solutions and their research problems at first to justify the importance of cross-layer solutions. The review of different ways of designing the cross-layer security techniques for WSNs with their behaviour presented as well. The challenges of IoT enabled WSNs single layered security solutions presented and then the various cross-layer solutions reviewed in this paper. The comparative study of different cross-layer techniques to demonstrate the layers and their parameters involved to detect of security threats. The outcome of this review work is the research challenges noticed from the present cross-layer solutions. 11 30 2019 282 292 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4023.119119 https://www.ijitee.org/portfolio-item/A4023119119/ Faculty of Agriculture, Andi Djemma University, Palopo, 12510, Indonesia. Idawati* Anna Fatchiya Faculty of Human Ecology, IPB University,16680, Indonesia. Dafit Ariyanto Agricultural Faculty, Asahan University, Sumatera Utara, Kisaran, 21216, Indonesia. Most cocoa plantations have undergone changes and sustained damage due to climate change. The objectives of the present study were to identify sustainable cocoa farming strategies in the effort to overcome climate change effects in regencies; and to analyze sustainable business strategies in overcoming the effects of climate change; This study was conducted from June to August 2018 in Luwu and North Luwu Regencies, South Sulawesi Province. Data collection was carried out through interviews with 282 farmers and interviews conducted on five key informants. Descriptive statistical analysis was conducted in the form of a frequency distribution table using Excel program and SPSS version 24. Model implementation strategies in overcoming climate change effects were designed based on the SEM PLS 2. The results revealed that the effort to overcome climate change effects in the development of the cocoa agribusiness and the farmers’ social relationships were high, while preservation of environmental conditions was in the low category. Conclusion : Sustainable cocoa farming strategies in the effort to overcome climate change effects consisted of adaptation climate accompaniment extension strategies, increasing government support strategies, and farmer character improvement strategies in overcoming climate change effects. 11 30 2019 291 297 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4024.119119 https://www.ijitee.org/portfolio-item/A4024119119/ Research Scholar, KIIT School of Management, Bhubaneswar (Odisha), India. Monalisa Mohapatra* Dr. Srikanta Charana Das KIIT School of Management, Bhubaneswar (Odisha), India. Dr. B.C.M. Patnaik Associate Professor, KIIT School of Management, Bhubaneswar (Odisha), India. Dr. Ipseeta Satpathy KIIT School of Management, Bhubaneswar (Odisha), India. Today India is one of the fastest growing economies in the world and with liberalisation, privatisation and globalisation it is poised to grow further. But the question arises whether we are really ready for this growth? Whether our students are skilled enough to compete worldwide and be a partner in this growth mechanism? The answer is big ‘No’. It is a fact that education, lifelong learning and training are essential, but by themselves inadequate to help individuals gain good and decent jobs. The employability scenario of graduates in India is undoubtedly an area of great concern. In recent times information Communication Technology plays an important role for the employability scenario in India. The old concepts of literate and illiterate society have been replaced by digital divided. Considering the growing demand of industry it is high time for all the students to be part of ICT driven education and training system. Further the growing demand of artificial intelligence and data analytics put the students in more challenging position to obtain a job. The present paper is a conceptual one and it will be an addition to the existing literature related to employability issues. 11 30 2019 968 973 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4027.119119 https://www.ijitee.org/portfolio-item/A4027119119/ Research Scholar., KLEF, Vaddeswaram, AP, India. P Raja Sekhar Reddy* K Ravindranadh CSE, KLEF, Vaddeswaram, AP, India. Cloud service is the most popular environment utilized by millions of users for different kind of service utilization. Cloud services needs to be provided with the concern of satisfying user requirements to increase their popularity level. The main issues associated with cloud service handling are maintaining integrity of data, user management, secured data transmission and so on. These issues are addressed by various authors by introducing the different methodologies. In this analysis work, discussion about those research techniques has been given with the detailed explanation. This paper provides the overview about the different research techniques whose main goal is to achieve the increase the data integrity level of the shared data. This paper also provides the discussion about various dynamic grouping techniques which tends to provide more flexible access to the user revocation. Different research techniques proposed by various authors has been described and compared their performance in terms of merits and demerits each research technique. The overall evaluation of the research technique is done based on numerical outcome present in each research technique and best research technique has been found 11 30 2019 1190 1198 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4028.119119 https://www.ijitee.org/portfolio-item/A4028119119/ Ph.D, Scholar in the Department of Economics and Management, Mendel University Brno, Czech Republic. Georg Rockel* Linard Barth Ph.D, Scholar in the Department of Economics and Management, Mendel University Brno, Czech Republic. Digitalization has reached the German real estate market. IT requirements have to be defined and followed. The state, companies and private households must implement appropriate requirements and take measures to jointly guarantee data protection and data security to be armed against cybercrime, and thus promote digitalization. Suitable measures will be examined here. IT facilitates many things but is also an instrument that can be abused also exploited, as it is operated by people. To be able to implement constant and secure overall solutions and concepts, this paper examines individual aspects in more detail and provides appropriate recommendations. 11 30 2019 298 308 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4029.119119 https://www.ijitee.org/portfolio-item/A4029119119/ Department of Physics, A.P.S. University, Rewa, M.P., India. Anand Prakash Tiwari* Achyut Pandey Department of Physics, Govt. T.R.S. College, Rewa, M.P., India. CMEs and solar flares are important solar ejections which are the cause of storm in Heliosphere. These ejections are producing a change in Earth magnetic field. In this paper we have studied heliospheric disturbance of solar cycle 24 during period from 10 March to 31 March 2015. We observed that a huge explosion of magnetic field and plasma from the Sun’s corona on 15 March 2015 and associated solar flares have disturbed space weather towards earth causes strongest geomagnetic storm on 17 March 2015. We found that Dst value reached to its minimum is -223 nT and a FDs during the period on 17 March 2015. 11 30 2019 2469 2472 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4102.119119 https://www.ijitee.org/portfolio-item/A4102119119/ Department of Mechanical Engineering, NRI Institute of Technology, Agiripalli, India. G. Durga Prasad V. Mohan Manoj Department of Mechanical Engineering, NRI Institute of Technology, Agiripalli, India. K. Ravi Prakash Babu* Department of Mechanical Engineering, Prasad V Potluri Siddhartha Institute of Technology, Kanuru, India. B. Raghu Kumar Department of Mechanical Engineering, Prasad V Potluri Siddhartha Institute of Technology, Kanuru, India. Machine components with cantilever boundary conditions are most prominently used in mechanical engineering applications. When such components are subjected to fatigue loading, crack may get initiated and failure may occur. In order to prevent catastrophic failure and safe guard these components one has to condition monitor the dynamic behavior under fatigue loading condition. Vibration based condition monitoring is one of the most effective method to assess the fatigue failure of the component. In this paper, a cantilever beam is analyzed for its dynamic behaviour under the influence of crack. The cantilever beam considered for the analysis is of rectangular cross section and is uniform throughout its length. The characteristic equation was derived for the Euler-Bernoulli cantilever beam to obtain the relationship between the location of the crack and stiffness of the beam because the stiffness of the beam influences the natural frequency. It is found that the stiffness of the cantilever beam is varying for varying locations of the crack in different modes of vibration. It is clearly understood from the analysis that the vibration response of the cracked cantilever beam in its modes of vibration is affected by the corresponding stiffness reduction based upon the location of the crack. So, it can be inferred that the natural frequency of the cracked cantilever beam may have different values for different locations of the crack. 11 30 2019 711 714 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4103.119119 https://www.ijitee.org/portfolio-item/A4103119119/ Department of CSE, Vaagdevi college of Engineering, Warangal ,India. N. Satyavathi* Dr.B. Rama Department of Computer Science, Kakatiya University,Warangal, India. Dr.A. Nagaraju Department of Computer Science, School of Mathematics, Statistics and Computational Science,Central University of Rajasthan, Ajmer, India. Association Rule Mining (ARM) is a data mining approach for discovering rules that reveal latent associations among persisted entity sets. ARM has many significant applications in the real world such as finding interesting incidents, analyzing stock market data and discovering hidden relationships in healthcare data to mention few. Many algorithms that are efficient to mine association rules are found in the existing literature, apriori-based and Pattern-Growth. Comprehensive understanding of them helps data mining community and its stakeholders to make expert decisions. Dynamic update of association rules that have been discovered already is very challenging due to the fact that the changes are arbitrary and heterogeneous in the kind of operations. When new instances are added to existing dataset that has been subjected to ARM, only those instances are to be used in order to go for incremental mining of rules instead of considering the whole dataset again. Recently some algorithms were developed by researchers especially to achieve incremental ARM. They are broadly grouped into Apriori-based and Pattern-Growth. This paper provides review of Apriori-based and Pattern-Growth techniques that support incremental ARM. 11 30 2019 309 316 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4107.119119 https://www.ijitee.org/portfolio-item/A4107119119/ Moscow Institute of Physics and Technology 9 Institutsky per., Dolgoprudny, Moscow Region, 141701,Russian Federation Majmaa Huda Khalid Hameed* Sheshin E.P. Moscow Institute of Physics and Technology 9 Institutsky per., Dolgoprudny, Moscow Region, 141701, Russian Federation Surface modification of quantum Dots is very demanding to improve the optical properties of quantum Dots and it is generally carried out by depositing an organic or an inorganic layer on the quantum Dots. In this study the behavior of CdZnS/ZnS and CdZnS/ZnS (GT), both emitting at 390 nm, differ by silicon-organic additives studying in a vacuum chamber to find out their feature and to identify the luminescent of quantum Dots, under the action of electron bombardment to assess the capability of quantum Dots as phosphors for further use in vacuum electronics 11 30 2019 1411 1413 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4110.119119 https://www.ijitee.org/portfolio-item/A4110119119/ PhD of Architecture, Associate Professor, Department of Design architectural environment, Kyiv National University of Construction and Architecture, Kyiv, Ukraine. Irina Bulakh* Margaryta Didichenko MA Architecture, Assistant, Department of Design architectural environment, Kyiv National University of Construction and Architecture, Kyiv, Ukraine. Olena Kozakova PhD of Architecture, Associate Professor, Department of information technologies in architecture, Kyiv National University of Construction and Architecture, Kyiv, Ukraine. The article depicts and systematizes innovative global trends in the field of architecture and urban planning of healthcare institutions taking as the example leading countries in the field of healthcare (Hong Kong, Singapore, and the United Arab Emirates). The territorial, administrative and demographic features that significantly affect the formation and functioning of the architecture and urban planning network of medical institutions are analyzed. The features, indicators, and structure of the public and private sectors of the medical organization of the listed countries are examined in detail. The main innovative trends in the architecture and urban planning of the healthcare network that put the considered countries on the top of the world leaders in the efficiency of healthcare organization rapidly are identified. The trends are considered in urban planning, architecture, medical, economic, environmental, technological and innovative aspects. 11 30 2019 317 323 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4111.119119 https://www.ijitee.org/portfolio-item/A4111119119/ Research Scholar, Dept. of Applied Physics, I.K.Gujral Punjab Technical University, Kapurthala, Punjab, India. Surinder Paul* Manokamna Research Scholar, Dept. of Applied Chemistry ,I.K.Gujral, Punjab Technical University, Kapurthala , Punjab, India. Shubhpreet Kaur Physics Department, Guru Nanak Dev University, Amritsar, Punjab, India. Er.P.S. Malhi Department of Chemistry, Guru Nanak Dev University, Amritsar, Punjab, India. Dr. Anupinder Singh Asstt. Prof., Department of Physics, Guru Nanak Dev University, Amritsar, Punjab, India. Dr. Arvind Sharma Associate Professor, Beant College of Engineering & Technology, Gurdaspur, Punjab, India. Perovskite solid solutions (La0.70Ca0.30)(FexMn1-x)O3 where x = 0.01, 0.20, 0.30 and 0.40 ceramics were synthesized by solid state reaction route. The structural studies were carried by X-Ray diffraction method and the observed results have indicated that all the prepared samples were crystallized into single phase. The surface morphology was studied by Scanning Electron Microscopy and the images have revealed that grain size has increased with the increasing concentration of Fe. Archimedes principle was used to calculate the density of all the sintered samples and the density values were observed to be in increasing order. The impedance and dielectric properties have been characterized at different ranges of temperature and frequency. The value of electrical conductivity were found to be more than 100 S cm-1, which indicate that the synthesized material is suitable material for cathode of Solid Oxide Fuel Cell. 11 30 2019 324 328 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4114.119119 https://www.ijitee.org/portfolio-item/A4114119119/ Department of Civil Engineering, RIMT University, Pujabn, India. Amir Farooq* Punit verma Department of Civil Engineering, RIMT University, Punjab, India. Sandeep singla Department of Civil Engineering Departement, RIMT University, punjab, India. A survey of ongoing research on bottom ash appears to demonstrate it has the ability to improve asphalt pavement performance when used to supplant a segment of the aggregate in asphalt mixes. Bottom ash can be utilized as an aggregate substitution, giving a considerable reserve funds to both highway organizations and service organizations. Bottom ash has been utilized as fine aggregates in flexible pavements since the mid 1970's. The American Coal Ash Association detailed that, more than 17,200 metric huge amounts of bottom ash was utilized in flexible pavements clearing during 2006. The research is centered around examination of properties of bottom ash, which is the byproduct of Budgam coal power plant and attainability investigation of utilization of bottom ash in flexible pavements of indian roads. As indicated by the outcomes got, the best blends are delivered by mixing bottom ash with well-graded, angular, rough textured aggregate and restricting the level of bottom ash to 25% for wearing and 16% for binder course. Marshall Stability and flow values have been found to diminish as the level of Wet bottom ash is increased in the blend. Further, high level of bottom ash substitution increases ideal bitumen content, which primarily influences to high production cost. In spite of the fact that the expense per 1 Mt of bottom ash mixed blend is higher than the conventional mix for both surface courses, its low density increases overlay zone. In light of that the expense per 1 m2 is lower than the conventional mix. The fruitful utilization of bottom ash in black topped pavements in Jammu and kashmir would give huge monetary investment funds as well as an ecological inviting solution for a waste material. 11 30 2019 974 981 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4117.119119 https://www.ijitee.org/portfolio-item/A4117119119/ Ph.D, Department of Electronics and Communication Engineering, Amity University, Lucknow Campus, Uttar Pradesh, India. Kumud Tiwari* Sachin Kumar Assistant Professor in Department of Electronics & Communication, Amity University, Lucknow Campus, Uttar Pradesh, India. R.K. Tiwari Professor, Department of Physics and Electronics, Dr. RML Avadh University, Faizabad, Uttar Pradesh, India. Advancement and innovations in technology have resulted in ease of accessibility and availability of resources, resulting in an increased liability on health-care services. However, the application of healthcare services in rural and undeveloped areas remains a foremost challenge, despite the investments made, largely due to unreliable communication infrastructures. Machine learning (ML) has witnessed a terrific amount of attention over the last few years in the field of medical imaging research for the lesion detection through a biomedical application such as Magnetic Resonance Images (MRI), CT scan, X-rays and Ultrasound etc. Normally, an MRI or CT scan are used by the experts to produce images of the soft tissue of the human body. Early detection of the lesion is a crucial part of follow-up care after completion of primary treatment. The goal is to reduce the mortality rate by early detection and treating the disease while it is still curable assuming a more effective salvage surgery and treatment. This paper presents a comprehensive review of the automated classification learning algorithms to identify lesion; indicates how learning algorithms have been applied to biomedical applications from data acquisition to image retrieval and from segmentation to disease prediction. This paper provides a brief overview of recent innovations and challenges associated with learning algorithms applied to medical image processing and analysis. Lastly, the paper concludes with a concise discussion and tries to predict direction for upcoming trends on more advanced research studies on lesion detection. 11 30 2019 329 343 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4120.119119 https://www.ijitee.org/portfolio-item/A4120119119/ Department of Computer Science and Engineering, RM Institute of Science and Technology, Chennai, India. A. Vidyavani* K. Dheeraj Department of Computer Science and Engineering, RM Institute of Science and Technology, Chennai, India. M. Rama Mohan Reddy Department of Computer Science and Engineering, RM Institute of Science and Technology, Chennai, India. KH. Naveen Kumar Department of Computer Science and Engineering, RM Institute of Science and Technology, Chennai, India. Object Detection is being widely used in the industry right now. It is the method of detection and shaping real-world objects. Even though there exist many detection methods, the accuracy, rapidity, and efficiency of detection are not good enough. So, this paper demonstrates real-time detection using the YOLOv3 algorithm by deep learning techniques. It first makes expectations crosswise over 3 unique scales. The identification layer is utilized to make recognition at highlight maps of three distinct sizes, having strides 32, 16, 8 individually. This implies, with partner contribution of 416 x 416, we will in general form location on scales 13 x 13, 26 x 26 and 52x 52. Meanwhile, it also makes use of strategic relapse to anticipate the jumping box article score, the paired cross-entropy misfortune is utilized to foresee the classes that the bounding box may contain, the certainty is determined and afterward the forecast. It results in perform multi-label classification for objects detected in images, the average preciseness for tiny objects improved, it's higher than quicker RCNN. MAP increased significantly. As MAP increased localization errors decreased. 11 30 2019 1414 1417 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4121.119119 https://www.ijitee.org/portfolio-item/A4121119119/ Department of CSE, Uttaranchal University, Dehradun, India. Kapil Joshi* N. K. Joshi Department of CSE, Uttaranchal University, Dehradun, India. Manoj Diwakar Department of CSE, Graphic Era University, Dehradun, India. A. N. Tripathi Department of CSE, University of Petroleum and Energy Studies, Dehradun, India. Himanshu Gupta Department of CSE, College of Engineering Roorkee, Roorkee, India. Today’s research era, image fusion is a actual step by step procedure to develop the visualization of any image. It integrates the essential features of more than a couple of images into a individual fused image without taking any artifacts. Multi-focus image fusion has a vital key factor in fusion process where it aims to increase the depth of field using extracting focused part from different multiple focused images. In this paper multi-focus image fusion algorithm is proposed where non local mean technique is used in stationary wavelet transform (SWT) to get the sharp and smooth image. Non-local mean function analyses the pixels belonging to the blurring part and improves the image quality. The proposed work is compared with some existing methods. The results are analyzed visually as well as using performance metrics. 11 30 2019 344 350 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4123.119119 https://www.ijitee.org/portfolio-item/A4123119119/ Research Scholar, Electronics Engineering, Banasthali Vidyapith, Tonk, and Assistant Professor, School of Electrical Engineering, MIT Academy of Engineering, Pune, India. Usha Verma* Dr. Neelam Sharma Associate Professor, Department of Computer Science, Banasthali Vidyapith, Tonk, India. In Modern healthcare systems, diagnostic information of patients is managed digitally. Watermarking strategies plays a significant role to ensure the security, authenticity and management of biomedical images and related patient information. This paper explores different invisible Digital watermarking methods both in spatial and transform / frequency domain and then Hybrid method by combining two techniques to justify better results for medical images. Here, host image considered is a medical image and patient’s information is a watermark which is embedded into it. The embedded watermark is hidden in medical host image and its quality should not be degraded to avoid misdiagnosis by doctors. In this paper, LSB, SVD, DCT, DWT and Hybrid techniques (DWT+SVD) are implemented for embedding and extraction process of invisible medical image watermarking. The performance is evaluated based on PSNR as a measure of imperceptibility and CRC & SSIM as a check of robustness. The attacks introduced are cropping, rotating, and noise like Gaussian, Salt & Paper, Speckle and Poisson. Results reveal that DWT provides higher PSNR values but it is robust for few attacks only. On the other side, SVD provides consistent SSIM for all attacks, although PSNR values are less than that of DWT. Hence a hybrid technique is implemented by incorporating benefits of DWT and SVD both and achieved optimal values of PSNR as well as SSIM to provide better security to medical images by preserving the quality as well. 11 30 2019 351 359 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4126.119119 https://www.ijitee.org/portfolio-item/A4126119119/ Research Scholar, Saveetha School of Engineering, SIMTS, Chennai, India. V Loganathan* S Godfrey Winster Professor, Saveetha Engineering College, Chennai, India. The computing resource availability in a cloud computing environment is considered as the vital attribute among the security essentialities due to the consequence of on its on demand service. The class of adversaries related to the Distributed Denial of Service (DDoS) attack is prevalent in the cloud infrastructure for exploiting the vulnerabilities during the implementation of their attack that still make the process of providing security and availability at the same time as a challenging objective. In specific, The in cloud computing is the major threat during the process of balancing security and availability at the same time. In this paper, A Reliable Friedman Hypothesis-based Detection and Adaptive Load Balancing Scheme (RFALBS-RoQ-DDOS) is contributed for effective detection of RoQDDoS attacks through Friedman hypothesis testing. It also inherited an adaptive load balancing approach that prevents the degree of imbalance in the cloud environment. The simulation results of the proposed RFALBS-RoQ-DDoS technique confirmed a superior detection rate and a adaptive load balancing rate of nearly 23% and 28% predominant to the baseline DDoS mitigation schemes considered for investigation. 11 30 2019 360 366 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4127.119119 https://www.ijitee.org/portfolio-item/A4127119119/ Dept. of Mechanical Engineering, Chandigarh University, Chandigarh, India. Lovepreet Singh* Harjot Gill Dept. of Mechanical Engineering, Chandigarh University, Chandigarh, India. Rapid changes and evolutionary market has demanded the new ways of production such as adaptive manufacturing techniques. In this research work different response characteristics such as ultimate tensile strength, surface roughness and energy consumed have been investigated from the work piece fabricated using of three dimensional printing. Taguchi based L27 orthogonal array was used to carry out the investigation study using Minitab software. From experimental investigation it has been depicted that layer resolution is the most significant parameter. 11 30 2019 367 370 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4130.119119 https://www.ijitee.org/portfolio-item/A4130119119/ Department of Mathematics, Dr. AIT, Bangalore, Karnataka State, India. Badekara Sooryanarayana* Chandrakala Sogenahalli Boraiah Department of Mathematics, NMIT, Bengaluru, India. Gujar Ravichandra Roshini* Department of Mathematics, NMIT, Bengaluru, India. In chemical graph theory, topological index is one of the graph invariants which is a fixed number based on structure of a graph. Topological index is used as one of the tool to analyze molecular structures and for proper and optimal design of nanostructure. In this paper we realize the real numbers that are topological indices such as Zagreb indices, Randic index, NK-index, multiplicative F-index and multiplicative Zagreb indices along with some characterizations. 11 30 2019 715 718 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4135.119119 https://www.ijitee.org/portfolio-item/A4135119119/