-74813b3e17f460286df139b 20220627034353047 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 11 30 2019 8 4 Department of Management Studies, Bharath Institute of Higher Education and Research (BIHER), Chennai Mrs. P. Rathna* Dr. A. Ravikumar Department of Tourism and Hospitality Management, Bharath Institute of Higher Education and Research (BIHER), Chennai A study of family unit vitality utilization design was done in a town of Jhajjhar area of Haryana, India in the year 2017. The family units outline secured heterogeneous populace having a place with various pay, instructive and social gatherings. There was greater accessibility and usage of strong biomass energizes as vitality assets in household segment when contrasted with the business fills. Excrement cakes, crop deposits and kindling were seen as the three primary energizes utilized for cooking, however LPG was likewise utilized alongside biomass powers. In any case, total change to cleaner powers has not occurred at this point even in family units that has been utilizing LPG for a long time. Salary was a significant factor deciding the decision of fuel for cooking; however there were some socio-social variables which were similarly significant in making fuel inclinations at family level. 11 30 2019 9398 9401 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9708.118419 https://www.ijrte.org/portfolio-item/D9708118419/ Department of Mechanical Engineering, Maulana Azad National Institute of Technology, Bhopal, India. Pankaj Mishra* K. R. Aharwal Department of Mechanical Engineering, Maulana Azad National Institute of Technology, Bhopal, India. Computational Flow Analysis Enables To Demonstrate Large Cold Storage Air Distribution. Thermal Performances Of The Cold Storage Are Based On Airflow Mechanism In A Closed Chamber. Experimental Investigation On Cold Store A Costly Affair Thus, In This Paper The Impact Of Auxiliary Draught System (Ads) On Airflow Distribution Is Carried Out With The Help Of Computational Fluid Dyanamics (Cfd). Experimental Validation Shows A 26% Of Error In Simulation Results. Cfd Results Reflect That Use Of Ads Reduces Cooling Time By 25%. Auxiliary Draught Ensures A Homogeneous Environment Inside The Plant. 11 30 2019 9402 9408 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9713.118419 https://www.ijrte.org/portfolio-item/D9713118419/ Assistant Professor, Department of Electronics and Communication Engineering Sri Ramakrishna Institute of Technology, Coimbatore, India, L. Malathi* Dr.A. Bharathi Professor & Head, Department of Information Technology Bannari Amman Institute of Technology, Erode, India Dr.A.N. Jayanthi Associate Professor, Department of Electronics and Communication Engineering Sri Ramakrishna Institute of Technology, Coimbatore, India Though Multipliers play a major role in all digital processing systems, still there is a research challenge related with area, delay, power, speed and accuracy parameters. Basically multipliers contains more number of adders (i.e.,) multiplication is done by repetitive additions. Highest care should be taken on adders. Partial Products (PP) part is middle process between multiplier, multiplicand and final addition. Next one about the methodology that Serial/parallel, Pipeline/parallel, Floating/decimal, Array, Binary/BCD, Fixed/Variable, Gate Level/Transistor Level. All the predecessors are having more controversy parameters. The forthcoming research concentrated on parallel, pipelining, decimal, binary and transistor level. 11 30 2019 8445 8449 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9714.118419 https://www.ijrte.org/portfolio-item/D9714118419/ Assistant Professor, Dept. of Electronics and Communication, Government Engineering College Raichur, Praveena Sindagi* Dr. Mahesh P K Professor and HOD. Dept. of Electronics and Communication, ATME College of Engineering, Mysuru, Electroencephalography (EEG) signs have remained proven an identical adaptable apparatus for recognition of dissimilar types of Brain infections. Nevertheless through footage of these signs, EEG records gets soiled by different clatter signs produced through supply line interfering, base-line-wander, probe association, muscle-movement etc. Such sound signs misinform analysis of brain that is not anticipated. To circumvent such problematic elimination of the sound signals been develop crucial. Owing to development of data and information equipment tele-medicine and e-health have developed prevalent in emerging and urbanized republics. In the examination drudgery we partake verified three dissimilar categories of adjustable filtering procedures to associate the presentations for scheming EEG signal as of arbitrary and Gaussian-noise. The main idea of the work is to interface the human brain signals and machine in an easy and cheapest manner to find out the various abnormalities in him. The methodology is as follows, we took brain-wave senor for acquiring of data from the person, and this is standard device available in market. The senor is connected to the laptop or system with the help of Bluetooth and the signals are acquired. The acquired signal will be a noisy signal which is to be de-noised and filtered for further process of detection. Random and white-Gaussian-noise is added with EEG signal and Adaptive filter with three different algorithms have been tested to reduce the noise that is added during transmission through the telemedicine system. Further based on the sum, mean and standard deviation parameters the individual is been evaluated the condition is been predicted. After an experimental learning of teenagers with type-1-diabetes (T1D), accompanying with hypoglycemic incident night, centroid, alpha-frequency condensed meaningfully and the centroid theta-frequency augmented meaningfully. The complete data remained prearranged hooked on a preparation set and examination customary arbitrarily designated. By means of proposed methodology, which was resultant as of teaching set through maximum log indication, projected blood-glucose summaries created a noteworthy relationship in contradiction of measured standards in assessment set. 11 30 2019 8936 8940 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9715.118419 https://www.ijrte.org/portfolio-item/D9715118419/ Department of CSE, Koneru Lakshmaiah Educational Foundation, Guntur, India, Dr. C. M. Sheela Rani* B. Mohana Department of CSE, Koneru Lakshmaiah Educational Foundation, Guntur, India The number of major road accidents that occur per day is on a rise and most of them are attributed to being the driver’s fault. According to the survey done in 2015, drivers are held responsible for approximately 78% of the accidents. To minimize the occurrence of these incidents a monitoring system that alerts the driver when he succumbs to sleep is proposed. This algorithm processes live video feed focused on the driver’s face and tracks his eye and mouth movements to detect eye closure and yawning rates. An alarm sounds if the driver is drowsy or already asleep. Haar-cascade classifiers run parallelly on the extracted facial features to detect eye closure and yawning. 11 30 2019 8941 8944 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9716.118419 https://www.ijrte.org/portfolio-item/D9716118419/ Research Scholar, Saveetha School of Engineering, SIMTS, Chennai, India. V Loganathan* S Godfrey Winster Professor, Saveetha Engineering College, Chennai, India. Availability of cloud resources to the cloud users is considered as the serious challenge that pose security essentialities during the process of on-demand service provision. Moreover, a specific type of attack named Reduction of Quality (RoQ)-based DDoS attack is determined to be vulnerable in the cloud computing since it exploits the benefits of the embedded adaptive load balancing and admission control methods of the environment. In this paper, an Efficient Adaptive Load Balancing Scheme-based on Wilcoxon–Mann–Whitney Hypothesis Test (EALBS-WMW-HT) is proposed for mitigating Reduction of Quality-based DDoS attack in order to minimize its influence for enhancing the degree of availability to the cloud users. This proposed EALBS-HT scheme uses the merits of statistical testing on the traffic flow and contributes to the detection of RoQ-based DDoS attack such that they does not disturb the inherent load balancing process of the cloud environment. The experiments of the proposed EALBS-HT scheme revealed an excellent detection accuracy, true positive rate and true negative rate with minimized false negative rate studied on par with the baseline approaches considered for analysis. 11 30 2019 8450 8456 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9717.118419 https://www.ijrte.org/portfolio-item/D9717118419/ National Aviation University, Kyiv, Ukraine Mariia A. Abysova* Olha P. Antipova Department of the Preparation of Educational and Scientific Literature, National Academy of Internal Affairs, Kyiv, Ukraine. Oleg V. Pavlyshyn Department of Philosophy of Law and Legal Logic, National Academy of Internal Affairs, Kyiv, Ukraine. Serhii V. Bondar Department for the Organization of Scientific Activities and Protection of Intellectual Property Rights, National Academy of Internal Affairs, Kyiv, Ukraine. The research issue is the historical past of the ethnic group as the most important component of social consciousness, which determines the social life practices and serves as the basis for the solidarity in society and the ground for its purposeful development. A wide range of concepts concerning the attitude to the historical past as one of the most important components of collective goal setting, in particular, theories of mentality, interpretation of texts and conflict of interpretations, historical hermeneutics, and conceptual models of history are investigated. It has been proved that the concepts of the single picture of ethnological history disappear under the influence of the multicultural characteristics, when the exclusive right of historical evaluation and interpretation is lost, and the changing set of situationally significant fragments becomes a priority. It is revealed that in the conditions of pluralism of thoughts and ideas caused by the emergence of non-state social actors, enhanced migration flows, increased communication opportunities of the society and internationalization of higher education, the appeal of social actors to their historical past in order to support their social and cultural borders and to forecast new social projects is complicated. A number of objective and subjective factors of disorganization of national history memory are stated in the research 11 30 2019 9409 9414 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9720.118419 https://www.ijrte.org/portfolio-item/D9720118419/ Bengkulu University, Bengkulu City, Indonesia, Dian Pujianto* Syafrial Bengkulu University, Bengkulu City, Indonesia, Bayu Insanistyo Bengkulu University, Bengkulu City, Indonesia, This study examines the role of physical activity "Go Boy" in children with special needs, in aspects of physical fitness. This research is development research. The subjects of this study were children with special needs in the city of Bengkulu who attended the SLB Negeri Bengkulu City totaling 13 students. Data analysis techniques using the t-test. the results of this study indicate that the traditional game-based training program "Go Boy" can be used to improve physical fitness for children with special needs. 11 30 2019 8945 8948 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9723.118419 https://www.ijrte.org/portfolio-item/D9723118419/ B.Tech, Dept. Of Ecm, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur Dist., A.P., India. N. Archana* S. Manogna B.Tech, Dept. Of Ecm, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur Dist., A.P., India. Dr.Md Ali Hussain Professor, Dept. Of Ecm, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur Dist., A.P., India. Dr. Sk. Razia Assoc.Professor, Dept. Of Cse, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur Dist., A.P., India. This Paper Presents Two Strategies For Encryption And Decryption Of Pictures Utilizing Xor Activity. The First Picture Is Encoded By The Key Picture Utilizing The Xor Activity And The Decoding Procedure Likewise Utilizes A Similar Key Picture With Xor Activity Is Done In The Primary Technique. In The Second Strategy One Of The Bit Planes, Rgb Technique, Filter Strategy For The Key Picture Is Utilized For Encoding The First Picture And Rearranging Is Accomplished For Getting The Scrambled Picture. This Technique Additionally Utilizes Xor Activity The Two Strategies Utilize A Picture Of A Similar Size As The Key For Scrambling The First Picture. Trials Have Demonstrated That The Two Calculations Are Appropriate For 2d Just As 3d Pictures. In The Matlab Condition, These Calculations Are Actualized And Tried On Different Pictures That Have Indicated Great Outcomes. For Scrambling Different Pictures These Strategies Are Likewise Utilized. 11 30 2019 9415 9419 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9724.118419 https://www.ijrte.org/portfolio-item/D9724118419/ Department of Computer Science and Engineering, MIT Mysore, India Sunil C* K S Raghunandan Dept. of Studies in Computer Science, University of Mysore, Mysore, India. H K Chethan Department of Computer Science and Engineering, MIT Mysore, India. G Hemantha Kumar Dept. of Studies in Computer Science, University of Mysore, Mysore, India. One of the major causes for achieving poor text detection results in video frames are complex background, illumination and de-blurring of the frames and it is also important challenges for the researchers to overcome such problems. Therefore, motivated from this kind of observation from recent survey, we propose a text detection method based on Deep Neural Networks known as TextBoxes which is capable of detecting text in video frames with improved performance when compared to state-of-the-art techniques. In parallel this we also propose a Text candidate detection for video frames and scene images by extracting words based on Automatic Window Detection by making use of Discrete Wavelet Transform (DWT) with the sliding window for extracting high frequency sub bands for each sliding window. K-means clustering technique has been used to obtain the text components and to decrease the background complexity and noise. Six-layer convolutional neural network model has been designed to recognize the text in multilingual images. Experiments for text detection are done on our own multilingual South Indian database, ICDAR-2015 Videos, YVT videos, SVT, and MSRA Scene datasets and demonstrated in terms of Recall, Precision and F-measure and for recognition ICDAR-2015 Videos, ICDAR 2011 and SVT scene images. 11 30 2019 9420 9423 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9726.118419 https://www.ijrte.org/portfolio-item/D9726118419/ Assistant Professor in the Department of Mathematics, Kakatiya Institute of Technology and Sciences, Warangal E Ranjith Kumar* B.Shankar Goud Assistant Professor, Department of Mathematics,JNTUH College of Engineering, Kukatpally , Hyderabad, Telangana, India. B. Suresh Babu Asst. Prof. of Mathematics, Sreyas Institute of Engineering & Technology, Hyderabad-068, TS, India. G. Srinivas Prof. of Mathematics, Guru Nanak Institute of Technology, Hyderabad -501506,TS, India. The present work emphases on the diffusion-thermo (Dufour) effect that has been considered for the numerical study. Unsteady MHD flow over a semi-infinite impulsively started inclined oscillating plate is considered for the study withmass diffusion and temperature variation under the influence oftransverselyapplied magnetic field. The governing equations are transformed to discrete counterparts by FEM(Finite Element Method) and Crank-Nicolson method was utilized to solve using C-program. The numerical outcomes for the temperature, velocity, and concentration were graphicalyl represented for distinct values of parameters. 11 30 2019 9430 9435 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9728.118419 https://www.ijrte.org/portfolio-item/D9728118419/ Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia. Ramadoni Syahputra* Suko Ferbriyanto Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia. Faaris Mujaahid Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia. Agus Jamal Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia. Sudarisman Department of Mechanical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia. This paper presents a performance study on a standalone solar photovoltaic system. The application of photovoltaic solar cells is increasingly prevalent in Indonesia. Indonesia is a tropical country, where throughout the year, get sun exposure. This condition strongly supports the use of photovoltaic solar cells as a source of electrical energy. Many small to large-scale solar power generation systems have been built in Indonesia. On a small scale in the form of a standalone system, solar power plants are usually used as secondary power plants, where primary power plants still come from state electricity companies. In this research, the analysis of the performance of solar power plants for standalone systems with a capacity of 400 Wp. Efforts to improve the performance of solar cells are made by using a mirror reflector. The results showed that the mirror reflector could increase the output power of photovoltaic solar cells. 11 30 2019 9436 9441 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9730.118419 https://www.ijrte.org/portfolio-item/D9730118419/ Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia. Ramadoni Syahputra* Cahya Adijana Nugraha Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia. Agus Jamal Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia. Sudarisman Department of Mechanical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia. This paper proposes the wind resources potential as a wind power plant in Kulon Progo, Indonesia. The location of this research is Congot Beach, Jangkaran Village, Temon District, Kulon Progo Regency, Yogyakarta Special Region Province, Indonesia. By considering that weather in the area is very conducive to the speed and strength of the wind, and the area is still full and extensive so that it is free to make a building for electric power plants using a windmill. The optimal configuration resulting from the Homer software analysis shows that this wind power plant is able to supply electricity needs without buying electricity from the grid. So that the wind turbine in Congot Beach has the potential to be built as a power plant, it's just that the construction costs are quite high and require a slightly longer return on investment, which is around 18.5 years.. 11 30 2019 9442 9448 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9731.118419 https://www.ijrte.org/portfolio-item/D9731118419/ Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia. Ramadoni Syahputra* Fahrian Noor Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia. Faaris Mujaahid Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia. Agus Jamal Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia. Sudarisman Department of Mechanical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia. This paper proposes the reliability index of wind-solar hybrid power plants using the expected energy not supplied method. The location of this research is wind-solar hybrid power plants Pantai Baru, Bantul, Special Region of Yogyakarta, Indonesia. The method to determine the reliability of the power plant is the expected energy not supplied (EENS) method. This analysis used hybrid plant operational data in 2018. The results of the analysis have been done on the Pantai Baru hybrid power plant about reliability for electric power systems with EENS. The results of this study can be concluded that based on the load duration curve, loads have a load more than the operating kW of the system that is 99 kW. In contrast, the total power contained in the Pantai Baru hybrid power plant is 90 kW. This fact makes the system forced to release the load. The reliability index of the power system in the initial conditions, it produces an EENS value in 2018, resulting in a total value of 2,512% or 449 kW. The EENS value still does not meet the standards set by the National Electricity Market (NEM), which is <0.002% per year. Based on this data, it can be said that the reliability of the New Coast hybrid power generation system in 2018 is in the unreliable category. 11 30 2019 9449 9456 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9733.118419 https://www.ijrte.org/portfolio-item/D9733118419/ Human-Centered Computing (HCC) research lab, School of Computing, College of Arts and Sciences, Universiti Utara Malaysia, 06010, Sintok, Kedah, Malaysia. Bakr Ba-Quttayyan* Haslina Mohd Human-Centered Computing (HCC) research lab, School of Computing, College of Arts and Sciences, Universiti Utara Malaysia, 06010, Sintok, Kedah, Malaysia. Yuhanis Yusof School of Computing, College of Arts and Sciences, Universiti Utara Malaysia, 06010, Sintok, Kedah, Malaysia. Regression testing is a necessary maintenance activity in the software industry where modified software programs are revalidated to make sure that changes do not adversely affect their behavior. Test case prioritization (TCP) is one of the most effective methods in regression testing whereby test cases are rescheduled in an appropriate order for execution to increase test effectiveness in meeting some performance goals such as increasing the rate of fault detection. This paper explores efforts that have been carried out in relation to TCP frameworks. Through the review of related literature, ten existing frameworks were identified, classified and reviewed whereby two are Bayesian network-based, five are multi-objective, while the rest are varied in terms of aspects and purposes. Accordingly, this study analyzes those frameworks based on their proposed year, TCP factors, number of test cases used, evaluations metric and criteria as well as experimental subjects. The results showed that the stated frameworks are not integrated with nature-inspired algorithms as enhancing optimization techniques while several others were insufficiently evaluated according to stated evaluation criteria and metrics for the effective and practical testing process. There is also a scarcity of frameworks that focus on regression test efficiency. This study indicates the need for further research into the topic to enhance TCP frameworks that focus on several directions for practical considerations in this field such as evaluation issues, specific knowledge dependency, and objective deviation. At the end of this study, several future directions such as nature-inspired algorithms assistance are proposed, and a number of limitations are identified and highlighted. 11 30 2019 8457 8462 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9735.118419 https://www.ijrte.org/portfolio-item/D9735118419/ Department of Criminal procedure and Criminalistics of Tashkent State University Mamatkulova Khosiyat Ural qizi* The issues of ensuring the rights and guarantees of such participants in the criminal process as the suspect and the accused are relevant for research at all times. Guarantees are the means in accordance with which the execution of the purpose of criminal proceedings is ensured. In order to further expand the guarantees of such participants as the suspect and the accused, the article analyzes the concept and significance of the procedural guarantees of the participants in the criminal process, in particular the suspect and the accused; their legal status; analysis of the rights and guarantees of the data of participants in the criminal process. The article applies the methodology of comparative legal analysis. In particular, the norms of national legislation are analyzed, as well as the norms of foreign countries on these issues (Russia, Kazakhstan and Germany). Based on the results of the analysis, proposals were developed to improve the guarantees of the rights and freedoms of suspected and accused persons in the criminal proceedings of the country. These proposals can be used to make amendments and additions to the criminal procedure legislation of the country. 11 30 2019 9457 9460 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9736.118419 https://www.ijrte.org/portfolio-item/D9736118419/ Department of Information Technology, AMET University, Chennai, India. E. Subramanian* C. S. Sanoj Department of Computer Science and Engineering, Sri Venkateswara College of Engineering, Sriperumbudur, India. Current quantum computer simulation strategies are inefficient in simulation and their realizations are also failed to minimize those impacts of the exponential complexity for simulated quantum computations. We proposed a Quantum computer simulator model in this paper which is a coordinated Development Environment – QuIDE (Quantum Integrated Development Environment) to support the improvement of algorithm for future quantum computers. The development environment provides the circuit diagram of graphical building and flexibility of source code. Analyze the complexity of algorithms shows the performance results of the simulator and used for simulation as well as result of its deployment during simulation. 11 30 2019 9461 9464 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9739.118419 https://www.ijrte.org/portfolio-item/D9739118419/ Department of Mechanical Engineering, JSS Academy of Technical Education, Bangalore, India. Rajathesh B C * Vinay G Department of Mechanical Engineering, JSS Academy of Technical Education, Bangalore, India Shivayogi C Akki Department of Mechanical Engineering, JSS Academy of Technical Education, Bangalore, India. Dr T S Nanjundeswaraswamy Associate Professor, Department of Mechanical Engineering, JSS Academy of Technical Education, Bangalore, India. Ultrasonic machining is also known as Ultrasonic Vibration machining. It is one of the most widely used machining processes. Few key parameters of USM are abrasive size, the effect of slurry, effect of amplitude, the effect of frequency, effect of tool and work material, and etc. To obtain high results in terms of accuracy and precision, we need to consider the optimal value of these parameters. The optimal parameters vary depending on the situation. 11 30 2019 8949 8955 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9743.118419 https://www.ijrte.org/portfolio-item/D9743118419/ Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea. Ye-lim Kang* Tae-ho Cho* Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, Republic of Korea. Unlike ordinary dust, fine dust has a small particle size and is thus not well-filtered out of the human nose or bronchus. It accumulates in the human body where it can generate various respiratory and bronchial illnesses. If this fine dust is introduced into a room from the outside, the indoor air is worsened which has negative effects on the health of the people there. The continuous management of indoor air through air purification is necessary to protect the health of students, office workers, and others who spend most of the day indoors. Various air purification systems exist for this purpose, and research and development are actively progressing. This paper discusses an indoor air purification system that uses Internet of Things (IoT) based on Wireless Sensor Networks (WSNs). In such a system, false reports are generated when the number of sensor nodes compromised by an attacker exceeds the security threshold. The WSNs security protocol, Interleaved Hop-by-hop Authentication (IHA), cannot defend against such false reports, resulting in abnormal behavior of the IoT air cleaner. Therefore, a false report detection scheme that uses sensing data is proposed in this paper. When fine dust occurs, the WSNs and IoT air cleaner sense fine dust at the same time. The IoT air cleaner, which has normally received the WSNs event report, calculates the average and the deviation about the cumulative fine dust sensing data values of the WSNs and the IoT. Then, it compares the deviation for the current event with the deviation for the previous event to calculate the variation of deviation. If the variation of deviation is within a predetermined error range, it is determined that a normal event occurs. Otherwise, it is determined that the false report injection attack occurs and it is prevented from running abnormal behavior of it. In conclusion, this scheme not only improves security by preventing the IoT air cleaner from running abnormally, but also contributes to improved energy efficiency in the WSNs. 11 30 2019 8956 8961 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9746.118419 https://www.ijrte.org/portfolio-item/D9746118419/ Department of Computer Science and Engineering,Koneru Lakshmaiah Education and Foundation,Guntur,India. Nikhat Parveen* Arpita Roy Department of Computer Science and Engineering, Koneru Lakshmaiah Education and Foundation,Guntur,India. Yagna srilatha Department of Computer Science and Engineering,Koneru Lakshmaiah Education Foundation,Guntur,India. Chaitanya Department of Computer Science and Engineering,Koneru Lakshaiah Education Foundation, Guntur,India. Hemanth Department of Computer Science and Engineering,Koneru Lakshmaiah Education Foundation, Guntur, India. Software is a basic system that acts as a major key part in general functioning system like securing the need of performance and scope of the system. Here the security is given to unauthorized user as unauthorized client that casually gets the change or modification within the system by effecting the efficiency and functionality of the system. So in order to overcome this issue new improved software is taken that improves the system performance and security. the paper represents a new fuzzy logic based system for handling secured attribute and assessment in software. Based on this reason we propose PC1 and bugs dataset for fuzzy inference system can be used. This secured system model helps software engineers to select secured and safety software for the performance and ambiguity. 11 30 2019 8961 8964 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9747.118419 https://www.ijrte.org/portfolio-item/D9747118419/ EEE department, R.V.R & JC CE, Guntur, INDIA. Dr.K.Radha Rani* N. Chaitanya B.Tech, degree in Electrical & Electronics Engineering from JNTU Hyderabad, India This paper presents a novel technique based on Cuckoo Search Algorithm (CSA) for enhancing the performance of multiline transmission network to reduce congestion in transmission line to huge level. Optimal location selection of IPFC is done using subtracting line utilization factor (SLUF) and CSA-based optimal tuning. The multi objective function consists of real power loss, security margin, bus voltage limit violation and capacity of installed IPFC. The multi objective function is tuned by CSA and the optimal location for minimizing transmission line congestion is obtained. The simulation is performed using MATLAB for IEEE 30-bus test system. The performance of CSA has been considered for various loading conditions. Results shows that the proposed CSA technique performs better by optimal location of IPFC while maintaining power system performance. 11 30 2019 9465 9470 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9748.118419 https://www.ijrte.org/portfolio-item/D9748118419/ Computer Science and Engineering, Kalasalingam Academy of Research and Education, KrishnanKoil, India. T. Manjunath Kumar* Dr.R. Murugeswari Computer Science and Engineering, Kalasalingam Academy of Research and Education, KrishnanKoil, India. Higher education is witnessing significant change in transferring of knowledge and experience from the faculty to the student community on a large scale. Domains requiring a high degree of skill development such as engineering technology education need a place in the university of deeper faculty communication and information percolation process. Despite various measurement and accounting system are prevailing in the current educational system. Known advanced methods for automated evaluation of faculty performance has emanated successfully yet. Here we propose a Machine Learning technique which can interact both with faculty and students to collect feature-oriented parameters of the academic processes prevailing in engineering domain to qualitative and quantitatively access the faculty performance in the modern ways. By using various machine learning methods such as Support Vector Machine, Logistic Regression, Naïve Bayes, Random Forest and Deep learning are used to build the models. The proposed model could identify the faculty’s performance who are likely to improve the course teaching for the students to enhance the teaching – learning process. Model accuracy is used to evaluate the performance of the faculty in the course. To identify the Machine learning algorithm performance F1-Measure and Area under Curve (AUC) value are compared. Evaluation result indicates that Random Forest algorithm is best suitable algorithm for faculty performance prediction for course evaluation through feedback questionaries’ given by the students. It has a 73.1% higher accuracy, 78.7% F1- measure and 0.73 value of AUC when compared to other models. This model is used for decision making support in the higher educational university. 11 30 2019 9472 9478 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9750.118419 https://www.ijrte.org/portfolio-item/D9750118419/ Department of Electrical and Electronics Engineering, Kongu Engineering College, Erode, India. Karthik M* Usha S Department of Electrical and Electronics Engineering, Kongu Engineering College, Erode, India. Venkateswaran K Department of Electronics and Communication Engineering, CMR Institute of Technology, Bengaluru, India Suganya S Department of Electronics and Communication Engineering, CMR Institute of Technology, Bengaluru, India Jothibasu M Department of Electronics and Communication Engg., PSG Institute of Technology and Applied Research, Coimbatore, India. Vehicle tracking and monitoring system plays a significant role in ensuring safety and security of vehicles. These systems come handy in situations like stolen recovery vehicle, fleet management, asset tracking, fuel management, surveillance, etc. The proposed system uses Raspberry Pi as the Embedded Linux board to enhance the client monitoring and pervasive vehicle tracking system. Conventional vehicle tracking method uses microcontroller 18F45K20 and 2G technology which makes it less suitable for receiving data in tower less areas. This proposed system makes use of GPS and GSM technologies for vehicle tracking and Altium software to minimize PCB board size that could be a ubiquitous client monitoring system. GPS receiver helps in tracking the vehicle location whereas vehicle monitoring is achieved by taking pictures and videos of vehicle location with the help of Raspberry Pi camera. 3G technology is implemented to increase tracking speed and to improve monitoring. Python coding is used as the programming language in the proposed system and the novelty lies in this ubiquitous client monitoring system is recovering the complete information even after when the network restores. 11 30 2019 9479 9482 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9751.118419 https://www.ijrte.org/portfolio-item/D9751118419/ Assistant Professor & Research center lab in Electronics and Communication Engineering of Francis Xavier Engineering College, Tirunelveli India. Mr.M.Suresh Chinnathampy* Dr.T. Aruna Assistant professor in Thiagarajar college of Engineering, Madurai India. C.Amarsingh Feroz Associate Professor in Electronics and Communication Engineering Department in Francis Xavier Engineering College, Tirunelveli, Tamilnadu, India. Mr S.Esakki Rajavel Assistant professor of ECE in Francis Xavier Engineering College. He completed his B.E/ECE in SCAD College S.Allwin Devaraj Assistant Professor & Research Centre lab in Francis Xavier Engineering College, Tirunelveli. The WiMAX (Worldwide Interoperability Microwave Access) is important in communication systems. Mobility is also important in WiMax to achieve high speed in data exchange over the medium. During the exchange of data handoff may be occurred.This paper is focused on handoff in WiMAX and MS (Mobile Station). The Handover Management Algorithm is used to avoid handoff in addition to improve the handover interruption time and to decrease the signaling transaction during the handover procedure we used Global Position System (GPS) to perform handoff faster. GPS has been introduced in this paper to find the position of the MS and BS then the MS will automatically choose BS by routing. We developed a new algorithm to improve the handoff interruption by introducing Time Division Multiple Access (TDMA).The MS finds its position using GPS and find the distance to the SBS (Source Base Station) and nearby BSs. In the next step,MS selects the target BS based on distance. Moreover we combine Handover Management Algorithm (HMA) with Cognitive radio networks (CRNs) for which are the way out for the trouble of underutilizing the license spectrum for which there are more needs in the final pair of decades. The congestion of the wireless spectrum has triggered a stringent contest for panic network resources. 11 30 2019 9483 9486 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9755.118419 https://www.ijrte.org/portfolio-item/D9755118419/ Fakulti Kejuruteraan Elektrik, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia. Noor Afiqah Abdul Rahim* Rahifa Ranom* Centre for Robotics and Industrial Automation, Fakulti Kejuruteraan Elektrik, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia. Hidayat Zainuddin Centre for Robotics and Industrial Automation, Fakulti Kejuruteraan Elektrik, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia. Intan Azmira Wan Abdul Razak Centre for Robotics and Industrial Automation, Fakulti Kejuruteraan Elektrik, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia. The outdoor insulator is commonly exposed to environmental pollution. The presence of water like raindrops and dew on the contaminant surface can lead to surface degradation due to leakage current. However, the physical process of this phenomenon is not well understood. Hence, in this study we develop a mathematical model of leakage current on the outdoor insulator surface using the Nernst Planck theory which accounts for the charge transport between the electrodes (negative and positive electrode) and charge generation mechanism. Meanwhile the electric field obeys Poisson’s equation. Method of Lines technique is used to solve the model numerically in which it converts the PDE into a system of ODEs by Finite Difference Approximations. The numerical simulation compares reasonably well with the experimental conduction current. The findings from the simulation shows that the conduction current is affected by the electric field distribution and charge concentration. The rise of the conduction current is due to the distribution of positive ion while the dominancy of electron attachment with neutral molecule and recombination with positive ions has caused a significant reduction of electron and increment of negative ions. 11 30 2019 9487 9492 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9759.118419 https://www.ijrte.org/portfolio-item/D9759118419/ Faculty of Civil and Environmental Engineering, Universiti Tun Hussein Onn Malaysia (UTHM), 86400 Parit Raja, Batu Pahat, Johor, Malaysia. Engku Shahrulerizal Engku Ab Rahman* Adnan Zainorabidin Faculty of Civil and Environmental Engineering, Universiti Tun Hussein Onn Malaysia (UTHM), 86400 Parit Raja, Batu Pahat, Johor, Malaysia. Hazlina Mahfidz Department of Civil Engineering, Politeknik Port Dickson, Km14 Jalan Pantai, 71050 Si Rusa, Negeri Sembilan, Malaysia. Habib Musa Mohamad Faculty of Engineering, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia. This research was conducted to gain more knowledge and investigate the ground vibration induced by vehicle at five different bridge approach location in Batu Pahat, Johor. This research also to illustrate and specify the ground vibration value based on identifying the location of an influence class of vehicle, speed of vehicle and zone of vehicle on bridge approach which are passing through to the bridge approach A (BAA) and bridge approach B (BAB). In describing vibration in the ground and in structures, the motion of the particle is utilized. This research describes the concepts of particle displacement, velocity and acceleration that are used to depict how the ground or structure reacts to excitation. This research observed the ground vibration motion, that is commonly described by identifying the peak particle velocity (PPV). Also presented, a description of the measurement technique, procedures and field data collection. From the sight of view of the result of this research, it indicated that the vibration value is more significant by all the variables. As a result, by the comparison of the variables that had been conducted with respect to the value of this vibration, it was found that the zone near the sensor shows a higher PPV value compared to the zone that is far apart from the sensor location and also vehicle class also plays a role which class IV is higher than class III and class II. The research shows potential to provide and improve the knowledge towards the importance of ground vibration from the vehicle loading by specific evaluation. 11 30 2019 8965 8971 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9766.118419 https://www.ijrte.org/portfolio-item/D9766118419/ Department of Electronics and Communication Sreenidhi Institute of Science and Technology Hyderabad, Telangana, India P. Supriya* Dr.S.P.V. Subba Rao Departmentof Electronics and Communication Sreenidhi Institute of Science and Technology Hyderabad, Telangana, India The demand for higher networking quality i.e., 5G technology and improved wireless connectivity is increasing rapidly in emerging Cyber-Physical Systems (CPS). In this paper, we looked at the question of reducing total power transmission with power control and resource allocation in 5 G networks where there is mutual interference between cells using the distributed resource allocation algorithm, Packet Scheduling and compared with Round Robin Scheduling algorithm. Power control was indeed an efficient way to enhance wireless system ability. It was assumed that energy levels can be allocated from a constant spectrum in prior job on energy control. But energy levels are allocated from a discrete set in practice. In this work, we consider minimizing the complete transmitted energy over specified discrete sets of available energy levels subject to maintaining an acceptable quality of signal for each mobile. Our algorithm has reduced computational complexity compared to the current optimization algorithm, where each resource is assigned to a maximum of one user over a period of time. Numerical results verify our proposed algorithm's efficiency and convergence. 11 30 2019 9493 9497 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9767.118419 https://www.ijrte.org/portfolio-item/D9767118419/ Department of MCA, NMAM Institute of Technology Nitte, Karkala, India. Spoorthi P Shetty* Udaya Kumar K Shenoy Department of CSE, NMAM Institute of Technology Nitte, Karkala, India. Internet of Things, abbreviated as IoT is a network used mainly for the communication where different devices are connected for the retrieval, examination and execution of the necessary task. One of IoT’s biggest challenge is that, they are resource-constrained. Hence, it is essential to use an efficient data transmission protocol for routing. An effective routing protocol for static IoT network is the Routing protocol for Low Power and Lossy Networks (RPL). It is essential to assess the effectiveness of the RPL with the selection of best objective function for different static model. In this paper, the performance of different routing algorithms is compared in connection with different static topologies. Hence, the objective function’s performance is compared for different topologies i.e., Butterfly, Ring and Umbrella topologies. We consider two objective functions: namely Minimum Rank with Hysteresis Objective Function (MRHOF) and Objective Function Zero (OF0). MRHOF considers Expected Transmission Count (ETX) as its metric and the metric considered under OF0 is hop count. It is observed that the objective function OF0 performs better than MRHOF for the metric of energy and successful receiving of data. 11 30 2019 8972 8977 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9776.118419 https://www.ijrte.org/portfolio-item/D9776118419/ Ph.D Research Scholar, Department of Computer Science, Periyar University, Salem. J. Mary Dallfin Bruxella* Dr. J.K. Kanimozhi Professor, Department of Computer Science, Sengunthar College Arts and Science College, Tiruchengode. In the view of performance improvement in machine learning algorithms it is essential to feed them with relevant features. Feature selection is one of the evident process followed by most of the learning algorithms for choosing the relevant features towards reducing the dimensionality of the dataset as well as to improve the classification accuracy. Among various feature selection techniques, Rough Set Theory (RST) has its own major contributions to feature selection domain. However, the conventional rough set based feature selection procedure makes binary decision on either marking an attribute as relevant or irrelevant.The fuzzy based Rough Set could resolve this problem by finding the relevancy by using membership values, however, this method is unable to identify the boundary or range of an attribute value which is appropriate for classification. The idea of feature selection is inappropriate when specific range of an attribute value represents a decision variable while seems to be irrelevant when it’s complete range is considered. This research work focuses on choosing relevant features for the problem of driver inattention detection. The features extracted for the focused problem are real numbers, hence the Neighborhood Rough Set (NRS) model is followed here rather than conventional Rough Set(RS) approach. In this paper, a Range specific Neighborhood Rough Set (RNRS) based feature selection is proposed for more accurate feature selection for the application of detecting driver’s inattention problem. The experiments are carried out with three real time driver datasets and the results are reported to prove the significance of the proposed RNRS based feature selection. Two learning algorithms, namely K-nearest neighbors and support vector machines are usedto evaluate the performance of the proposed approach. Theresults show that the proposed algorithm can significantlyimprove the classification performance. 11 30 2019 8463 8474 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9780.118419 https://www.ijrte.org/portfolio-item/D9780118419/ Department of management studies , P A College of Engineering, Mangalore, India Zoheb Ali K* Dr. Rashmi Kodikal Department of management studies , P A College of Engineering, Mangalore, India India is a country where maximum growth is witnessed in ecommerce. Most of the firms have started to adopt technology because of the benefits associated with that. In this study the researcher measured the impact of service quality on various behavioral dimensions like word of mouth, revisit and intention to purchase in internet shopping. The study was conducted from online shoppers of Dakshina Kannada district of Karnataka in India because of the high adoption rate among the people. A total of 350ssamples was collected from various taluks of Dakshina Kannada district in proportion to its population. The researcher found out that E-Service quality have a strong positive influence on consumers buying decision which influence satisfaction and finally that leads to creation of a category of consumers who are loyal to the firm and show very positive post purchase behavior. In comparison with the various dimension of service quality it was found that ease of use and ease of navigation had maximum impact on the customers. The firms should also target their marketing efforts on creating a positive service encounters; this will lead to a better satisfaction rate. 11 30 2019 9498 9502 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9782.118419 https://www.ijrte.org/portfolio-item/D9782118419/