-4d90550d17f4602e089-49dd 20220415081712719 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 04 30 2020 9 6 Department of Mechanical Engineering, Godavari Institute of Engineering and Technology (A), Rajahmundry, AP, India. Ch. Pydiraju* M. Balakrishna Senior Assistant Professor, Department of Mechanical Engineering, Godavari Institute of Engineering and Technology, Rajahmundry (A), AP, India. A Roots blower is a mechanical device for moving air or other gases. As the flow process is highly complex in roots blower operation, it is necessary to analyses efficiency of lobes and develop the geometry of roots and casing to reduce the flow loss significantly. In the present thesis, the methodology to find near optimum combination of blower operating variables of performance.Roots blower are positive displacement device. In this study, roots blower is used to control the room conditions like temperature, moisture control, mist and transfer low volume intake into the system, increase the power efficiency of the engine. It is reliable, economical and having low maintenance cost.A roots blower performance depends on quality of air intake and geometry used. The quality of air major impact to the lobe arrangement and effect on temperature increase, reduced thickness of lobes and impact on performance of roots blower. 04 30 2020 1173 1180 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5199.049620 https://www.ijitee.org/portfolio-item/A5199119119/ Assistant Professor, Department of Computer Science and Engineering, Govt. Polytechnic College, Bhopal, (M.P), India. Saurabh Tiwari* Dr. S. Veenadhari Assistant Professor, Department of Computer Engineering, Rabindranath Tagore University, Bhopal, (M.P.), India. Machine learning area enable the utilization of Deep learning algorithm and neural networks (DNNs) with Reinforcement Learning. Reinforcement learning and DL both is region of AI, it’s an efficient tool towards structuring artificially intelligent systems and solving sequential deciding problems. Reinforcement learning (RL) deals with the history of moves; Reinforcement learning problems are often resolve by an agent often denoted as (A) it has privilege to make decisions during a situation to optimize a given problem by collective rewards. Ability to structure sizable amount of attributes make deep learning an efficient tool for unstructured data. Comparing multiple deep learning algorithms may be a major issue thanks to the character of the training process and therefore the narrow scope of datasets tested in algorithmic prisons. Our research proposed a framework which exposed that reinforcement learning techniques in combination with Deep learning techniques learn functional representations for sorting problems with high dimensional unprocessed data. The faster RCNN model typically founds objects in faster way saving resources like computation, processing, and storage. But still object detection technique typically require high computation power and large memory and processor building it hard to run on resource constrained devices (RCD) for detecting an object during real time without an efficient and high computing machine. 04 30 2020 1580 1514 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7480.049620 https://www.ijitee.org/portfolio-item/B7480129219/ Associate Professor, Department of E&CE, Government Engineering College, Hassan. Baby H. T.* Dr. B. R. Sujatha Professor and HOD, Department of E&CE, Malnad College of Engineering, Hassan. An ever-increasing usage of internet from simple data transmission to highly sensitive data storage has given rise to the need to establish techniques for securing such transactions. Cryptography has been widely used in recent decades to provide protection for the Internet data, although mainly used in the diplomatic and military societies. These regularities have made randomness in data processing a key element for security. The generation of random numbers is a subject which continues to interest the researchers since several decades. Chaos theory is one such approach to demonstrate the randomness of the data in Cryptosystems. Chaotic circuits have been used in this paper to produce different multiple keys to be used for both text and voice encryption. The significant difference in the initial constraints of chaotic circuits is seen to produce entirely different keys and cipher text. 04 30 2020 1181 1184 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7915.049620 https://www.ijitee.org/portfolio-item/B7915129219/ Department of Computer Science, Himachal Pradesh University, Summerhill, Shimla -5, Himachal Pradesh, India. Pushpa Devi* Vikrant Singh Bhardwaj Department of Computer Science, Himachal Pradesh University, Summerhill, Shimla -5, Himachal Pradesh, India. Dr. Kishori Lal Bansal Professor Department of Computer Science, Himachal Pradesh University, Summerhill, Shimla -5, Himachal Pradesh, India. There is huge amount of data being generated every minute on internet. This data is of no use until we cannot extract useful information from it. Data mining is the process of extracting useful information or knowledge from this huge amount of data that can be further used for various purposes. Discovering Association rules is one of the most important tasks among all other data mining tasks. Association rules contain the rules in the form of IF then THAN form. The leftmost part of the rule i.e. IF is called as the Antecedent which defines the condition and the rightmost part i.e. ELSE is called as the Consequent which defines the result. In this paper, we present the overview and comparison of Apriori, Apriori PT and Frequent Itemsets algorithm of association component in Tanagra Tool. We analyzed the performance based on the execution time and memory used for different number of instances, support and Rule Length in Spambase Dataset. The results show that when we increase the support value the Apriori PT takes the less execution time and Apriori takes less memory space. When numbers of instances are reduced Frequent Itemsets outperforms well both in case of memory and execution time. When rule length is increased the Apriori algorithm performs better than Apriori PT and Frequent Itemsets. 04 30 2020 890 894 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8022.049620 https://www.ijitee.org/portfolio-item/C8022019320/ Assistant Professor, L.D.Engineering College, Ahmedabad,Gujarat Technological University,Gujarat ,India Prof. Shital Solanki* Dr.Ramesh Prajapati Assistant Professor, Indrashil Institute of Science & Technology, Rajpur- Kadi, Gujarat Technological University,Gujarat India. In this paper the comparative study of two supervised machine learning techniques for classification problems has been done. Due to the real-time processing ability of neural network, it is having numerous applications in many fields. SVM is also very popular supervised learning algorithm because of its good generalization power. This paper presents the thorough study of the presented classification algorithm and their comparative study of accuracy and speed which would help other researchers to develop novel algorithms for applications. The comparative study showed that the performance of SVM is better when dealing with multidimensions and continuous features. The selection and settings of the kernel function are essential for SVM optimality. 04 30 2020 763 766 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8350.049620 https://www.ijitee.org/portfolio-item/C8350019320/ Department of Civil Engineering, S.V. University, Tirupati, India. Munilakshmi. N* Srimurali. M Department of Civil Engineering, S.V. University, Tirupati, India Karthikeyan. J Department of Civil Engineering, S.V. University, Tirupati, India Ferric chloride, Aluminium sulphate, and Ferrous sulphate flocs were used as an adsorbent in the decolourisation of aqueous dye C.I. Disperse yellow 3. To evaluate the potentiality of adsorbents, non-flow agitated experiments were carried out to find the equilibrium contact time, optimum equilibrium adsorbent dose. Preformed flocs at pH:: 4 rather than pH:: 10 produced excellent colour removal. Adsorption capacity of flocs of Ferric chloride, Aluminium sulphate and Ferrous sulphate was obtained as 500 mg/g, 333mg/g and 23.3mg/g at pH:4. The equilibrium data sorption follows Langmuir Isotherm and kinetic data follows pseudo second order stating that chemisorptions is the rate limiting step. 04 30 2020 767 771 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8514.049620 https://www.ijitee.org/portfolio-item/C8514019320/ Electronics, Vidyasagar University, Midnapore, India. Susmita Bala* Biplab Bag ECE, Murshidabad Institute of Technology, Murshidsbad, India. Partha Pratim Sarkar DETS, Kalyani University, Kalyani, India. Sushanta Sarkar DETS, Kalyani University, Kalyani, India. A printed dual broadband monopole antenna has been presented here for WLAN and WIMAX applications. The antenna is designed with the help of simulation software HFSS and proposed antenna is fabricated to verify the simulated results with the measured results. The patch of the proposed antenna consists of two identical metallic structures which are like English letter “E” and are placed face to face to each other. Now, the lower arms of E-shaped structures are connected together with a rectangular microstrip transmission line of length 15 mm and width 3.06 mm to form the proposed patch. The proposed “E” shape patch is printed on FR4 substrate of height 1.6 mm, relative permittivity εr= 4.4, and loss tangent 0.02. The ground plane of the proposed antenna consists of partial rectangular metal at opposite side of the patch. The proposed antenna achieves dual band characteristics using the proposed structure. The measured results show that the proposed structure covers the transmission bands from 2.45 GHz to 3.66 GHz with center frequency of 3.0 GHz and from 4.16 GHz to 5.94 GHz with center frequency of 5.37 GHz. There is a good impedance matching between measurement result and computer simulated results. The measured percentage bandwidths have been obtained by 39.1 % and 35.24 %, respectively. The peak gain (measured) at 3 GHz and 5.37 GHz resonant frequencies are 3 dBi and 4 dBi, respectively. This proposed antenna also exhibits with monopole like E-Plane and H-plane co-polarization radiation pattern at two center frequencies. The obtained bands are useful for WLAN and WiMAX applications. 04 30 2020 2112 2117 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9038.049620 https://www.ijitee.org/portfolio-item/C9038019320/ Btech Students, Department of Computer Science &Engineering,, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India. P. Tanmayi* R. Sri Harshini Btech Students, Department of Computer Science &Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India. CH. Mahitha Btech Students, Department of Computer Science &Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India. Mr. Venkata Vara Prasad Padyala Professors, Department of Computer Science &Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India. DR. K. V. D Kiran Professors, Department of Computer Science &Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India. Developing and maintaining an appropriate series of safety regulations that balance the abuse of cryptographic APIs is a daunting task as cryptographic APIs are continually changing with new primeval and cryptographic settings, rendering current versions balanced. We are proposing a new approach to eliminating security patches from thousands of code changes in order to resolve this challenge. Our approach involves (i) detecting program modifications that sometimes cause security fixes, (ii) an abstraction that filters trivial code changes (such as refactoring), and (iii) a cluster analysis that recognizes similarities between semantine program modifications and helps to obtain safety laws. We used our approach to the Java Crypto API and demonstrated that it is effective: (i) effectively filter changes in non-modification code (more than 99% of all changes) without removing them from our abstraction, and (ii) over 80 percent of code changes are security fixes that define security rules. We have established 13 rules, including new ones, based on our findings, that are not supported by existing security checks. CCS COCEPTS: Security and privacy → Systems security; Cryptanalysis and other attacks; Software security engineering; 04 30 2020 2053 2056 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1165.049620 https://www.ijitee.org/portfolio-item/D1165029420/ Depart of Information Science and Engineering, Vidyavardhaka College of Engineering, Mysuru. Prashanth M V* Dr. Vijaya Kumar M V Depart of Information Science and Engineering, Dr.AIT, Blr. Dr. Chandrashekar M Patil Depart of E&CE Engineering . Vidyavardhaka College of Engineering, Mysuru in recent years the research has shown that modern farms may be helpful in producing the higher amount of yields along with superior quality. Moreover, this might also help in being least dependent about the labor force. Management of digital farming and site-specific precision are few solutions, which depends on the sensor technology. Moreover, the field data collection is the best only with feasible utilization of agriculture robots (AR). For improving agriculture productivity the sensor are placed across land (geographically), these sensor sends information to multiple robots for carrying certain task such as soughing, harvesting etc. This manuscript conducted survey of various industrial robots model for agriculture environment. Using industrial robots for agricultural purpose is practically not a viable option due to complex environment. Cognitive architecture that exhibits human cognitive thinking is used for learning dynamic and complex environment with good result. In recent times, Society of Mind Cognitive Architecture (SMCA) has proposed using multi-agent and (MA) and Reinforcement learning (RL) technique. However, it is generally difficult to solve Markov decision process (MDP) problem. Thus, cannot be used under dynamic mobility and complex nature of agriculture environment. This is because MDP has many variables. For overcoming research issues, this work present mobility aware Deep Q- Reinforcement Learning (MADQRL) cognitive learning method for Society of Mind Cognitive Architecture by combining both RL and DL technique. The MADQRL are utilized for controlling mobility and communication power of robots according to dynamic environment prerequisite. Experiment outcome shows the proposed MADQRL method attain better performance than existing cognitive learning method considering memory efficiency, learning efficiency, and energy utilization. 04 30 2020 2008 2014 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1170.049620 https://www.ijitee.org/portfolio-item/D1170029420/ Professor in Civil Engineering department of Sethu institute of Technology (Autonomous),Kariapatti Dr.P.Oliver jayaprakash* Mr. P. Sudarshan Assistant Professor , Civil Engineering department, Sethu institute of Technology (Autonomous), Kariapatti. Ms.C. Hemalatha Assistant Professor,Civil Engineering department,SRM Institute of Science and Technology (formerly known as SRM University), Ramapuram Campus. The focus of this analysis is the review of steel plate strengthened RC beams using Single row and Stagger row bolt arrangements and to compare the bonding behaviour of different bolts arrangement under flexure. Also, to investigate the behaviour, load bearing capacity and the deflection for control and steel plate bonded beams. This research is constrained by FEM analysis utilizing ANSYS to the actions of standard RC Beam and RC beam steel plate associated. 04 30 2020 1208 1217 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1444.049620 https://www.ijitee.org/portfolio-item/D1444029420/ Department of Electronics, College of Engineering, Pune, India. Mr. Mosam K. Sangole* Dr. Dipak P. Patil Principal, Department of Electronics & Telecommunication Engineering Sandip Institute of Engineering and Management Nashik, India. Mr. Ketan A. Dhamane Department of Electronic and Telecommunication, Sandip Institute Engineering and Management, Nashik, India. Mr. Rohit K. Jathar Department of Electronic and Telecommunication, Sandip Institute Engineering and Management, Nashik, India. Mr. Rushikesh S. Kardile Department of Electronic and Telecommunication, Sandip Institute Engineering and Management, Nashik, India. Agriculture is the backbone of Indian economy. A half of the total population of our country has chosen agriculture as their chief occupation. due to the impact of latest “innovation in Agro-technology” farmers came to know about the various techniques involved in farming and the advantages in it. Due to this Now a days Agro-technology is improve day by day. Hence in this work of project we decided to design a better Electro-mechanical system which is available to the farmers at a cheaper cost & easy to use. It will be improved the standard of living of farmers as well as it will be help to reduce labour cost & time. 04 30 2020 1185 1188 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F1816.049620 https://www.ijitee.org/portfolio-item/D1816029420/ Department of ECE, Vallurupalli Nageshwara Rao Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India. Konda Nandini* V. Naveen Kumar Department of ECE, Vallurupalli Nageshwara Rao Vignana Jyothi Institute of Engineering and Technology , Hyderabad, India. Dr. Y. Padma Sai Department of ECE, Vallurupalli Nageshwara Rao Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India. The motivation behind this research work is to improve car safety and efficiency.The concept of self driving cars is heard from years, it has not come into usage in many countries because of the lack of complete intelligence in the vehicle. Some of the modern vehicles provide partially automated specifications such as keeping the car within its lane, speed controls or emergency braking..According to statistics most of the accidents occur due to lack of instant response to traffic signs and obstacles ahead. In case of self driving car this problem can be addressed by detecting the traffic signals using high end camera. Real time traffic sign detection model accomplishes its objective by identifying the traffic signals and obstacles. A high end camera is used to capture the image, raspberry pi 3 is used as hardware and open computer vision library is used to process the image and identify the patterns in the image to properly detect the signals. Ultra sonic distance sensor is used to identify the obstacles. 04 30 2020 253 256 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1936.049620 https://www.ijitee.org/portfolio-item/D1936029420/ PhD scholar in Amity University Madhya-Pradesh. , India. Shitanshu Jain* Dr. S.C. Jain Director in the ASET , Amity University, Madhya-Pradesh, India. Dr. Santosh K. Vishwakarma Associate Professor, Department of CSE, School of Computing & IT, Manipal University Jaipur, India. A Similarity measure is a main process in the text processing method. we have proposed a new method of similarity measure which improved the performance of the K-NN method. The proposed measure extended the accuracy of the text classification method. we have implemented proposed method with Amazon dataset and we observed the effectiveness of proposed similarity measure is increase the accuracy of the similarity between set of documents in a corpus. The end result display performance achieved by way of the proposed measure is higher than that obtained by others. 04 30 2020 2232 2235 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1939.049620 https://www.ijitee.org/portfolio-item/D1939029420/ Department of Basic Sciences, Vignan Institute of Technology and Science, Hyderabad, India Raja Shekar P* Prasad K. M Narla V. K. Department of Mathematics, GITAM University, Hyderabad, India Bhuvanavijaya R Department of Mathematics, JNT University, Anathapuramu, India The present work focuses on the thermal radiation effect in Hydro Magnetic peristaltic pumping of Jeffrey nano fluid in an unsymmetrical channel. The present work looks at the radiation effect, magnetic field, Brownian motion, thermophoresis, and buoyancy forces. Well established high wavelength and tiny Reynolds number assumptions are invoked. The exact solution for the velocity, concentration, temperature has been evaluated. It has been observed that temperature is reducing with increasing of Radiation parameter. 04 30 2020 2015 2021 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2046.049620 https://www.ijitee.org/portfolio-item/D2046029420/ Assistant Professor, Department of Electronics and Communication Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India. M. Rama Devi* Dr. L. Padma Sree Professor, Department of Electronics and Communication Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India. Ms. P. Vineetha Department of Electronics and Communication Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India. Around the world 285 million individuals are found to be visually challenged out of 7.4 billion populations found in a survey made by World Health Organization. These people face many problems but the major problem is reading. It is observed that they cannot read the text which is not written in braille. In the thought process of supporting them, here is a framework proposed for the visually challenged people which can perform content recognition and produce voice yield. This can assist the visually challenged people with reading any printed content and convey in speech output. A camera is utilized to capture the content from the printed content and the captured picture experiences progression of picture pre-preprocessing steps to get the content of the picture and expels the background. Characters are identified utilizing Tesseract-Optical Character recognition (OCR). The identified script is then changed into voice, utilizing open source speech synthesizer (TTS). Finally, the speech output is heard by the earphones. 04 30 2020 2154 2158 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2110.049620 https://www.ijitee.org/portfolio-item/D2110029420/ Amity School of Engineering and Technology,Amity University Madhya Pradesh, Maharajpura Dang,Gwalior(MP)-474005,India. Devendra Kumar Mishra* Prof.( Dr.) Arvind Kumar Upadhyay Amity School of Engineering and Technology,Amity University Madhya Pradesh, Maharajpura Dang,Gwalior(MP)-474005,India. Dr. Sanjiv Sharma Madhav Institute of Technology and Science,Gwalior(MP) ,India. Data plays an important role in success of any organization, so organizations required more data to make decision for their planning to improvement. The data that are generating for any organization, in which 80 to 90 percent data belongs to unstructured data type.Text mining is the process that indicate retrieve appealing and unknown information from unstructured text. Social network sites also generate huge amounts of data,with the help of these data people’s behavior and thought easily determine but analysis of these data is a difficult task. This paper proposed an efficient approach for text mining using machine learning. 04 30 2020 772 774 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D2119.049620 https://www.ijitee.org/portfolio-item/D2119029420/ Doctor of Technical Science, Head of the department of Tashkent University of Information Technologies. Zaynidinov H.N.* Sharibaev N. Yu (DSc) Head of the department of Namangan Institute of Engineering and Technology. Namangan, Uzbekistan. Juraev Sh. S Assistant of the department of Namangan Institute of Engineering and Technology. Namangan, Uzbekistan. A method for processing and analyzing ECG signals based on wavelet transform in an electrocardiography system is proposed. The ECG spectrum is arranged in a series of Gaussian delta functions. A method of vector representation of data in binary codes is proposed. This method allows you to detect minor changes in subsequent studies. 04 30 2020 2151 2153 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E1974.049620 https://www.ijitee.org/portfolio-item/E1974039520/ Research Scholar, Department of Electronics and Communication Engineering, SATHYABAMA Institute of Science and Technology, Chennai, Tamilnadu, INDIA. Kulkarni Sheetal V.* S. Poornapushpakala Associate Professor, Department of Electronics and Communication Engineering, SATHYABAMA Institute of Science and Technology, Chennai, Tamilnadu, INDIA. In medial analysis, Neuroimages take part in a very imperative role for diagnosing the various Brain disorders. This paper focuses on various Neuroimages such as CT, MRI, of Brain which are used as focal point for range of brain diseases and it is valuable for the early detection of brain diseases. This review enlightens the researcher to identify the symptom’s of brain disorder from Neuroimages. Also, this survey is a platform for the researcher to begin the work in the area of Neuroimages disease solutions. Till date, the research has been done on any one type of Neuroimages and their various methodologies. Significance of this work is to focus the collection of various brain diseases information. This paper covers the discussion and methodologies implemented in recent research in neuro diseases. It focus towards the identification neuro diseases in the field of medical image analysis. 04 30 2020 2147 2150 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2193.049620 https://www.ijitee.org/portfolio-item/E2193039520/