19c96fd517d854497e8-1bc5 20220223053245307 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/ 07 30 2020 9 2 Student, Department of Computer Science and Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India. Anees Fatima Khan Bhavya P Student, Department of Computer Science and Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India. R. Ravinder Reddy Associate Professor, Department of Computer Science and Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India. Identifying the physical aspect of the earth’s surface (Land cover) and also how we exploit the land (Land use) is a challenging problem in environment monitoring and much of other subdomains. One of the most efficient ways to do this is through Remote Sensing (analyzing satellite images). For such classification using satellite images, there exist many algorithms and methods, but they have several problems associated with them, such as improper feature extraction, poor efficiency, etc. Problems associated with established land-use classification methods can be solved by using various optimization techniques with the Convolutional neural networks(CNN). The structure of the Convolutional neural network model is modified to improve the classification performance, and the overfitting phenomenon that may occur during training is avoided by optimizing the training algorithm. This work mainly focuses on classifying land types such as forest lands, bare lands, residential buildings, Rivers, Highways, cultivated lands, etc. The outcome of this work can be further processed for monitoring in various domains. 07 30 2020 79 83 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3030.079220 https://www.ijrte.org/portfolio-item/A3030059120/ Information Technology St. Francis Institute of Technology Borivali, Mumbai, India. Shanelle Fernandes Rushia Fernandes Information Technology, St. Francis Institute of Technology Borivali, Mumbai, India. Jessica Kakkanad Information Technology, St. Francis Institute of Technology Borivali, Mumbai, India. Wheelchairs have been used by patients who suffer from various physical disabilities to help them with locomotion and cater their day to day needs with ease. But there are some cases where the movement of a wheelchair is dependent on another individual as is the case with patients who lack the required arm strength and movement to properly push the wheels forward such as quadriplegics, paraplegics, stroke patients, elders etc. Joystick oriented wheelchairs, thought to be a solution to those kinds of patients, can pose different problems as it requires basic shoulder movement. It is not always possible for the aforementioned types of patients. In addition, our solution doesn’t have the positional constraints that a joystick wheelchair might have as it is wireless and can be worn on either hand which allows the patient to sit in their preferred position for minimum discomfort. This project is an attempt to help the disabled move around independently. Thus, in this research work, we present a prototype of a wireless gesture-based wheelchair which can be controlled via hand gestures. The framework consists of a transmitter and a receiver that communicate with each other wirelessly. For wireless transmission, 433Mhz RF Transmitter and Receiver Unit has been used as it transmits data through an antenna at the speed of 1Kbps – 10Kbps and the range can be adjusted as required. The transmitter unit consists of an Arduino LilyPad microcontroller and an accelerometer that has been attached to a hand glove. The accelerometer sensor has been used to register the position of the hand while creating a gesture. This glove is supposed to be worn by the patient allowing them to move their hand conveniently, sending signals to the receiver unit connected to the wheelchair leading to the movement of the wheels in the desired direction. The receiver unit consist of motor drivers that convert the voltage as needed by the wheels. This paper presents an alternative to the commercial wheelchairs as it is cost effective, easy to control and efficient. The working and assembly of the system has been explained in the paper. 07 30 2020 771 775 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3059.079220 https://www.ijrte.org/portfolio-item/A3059059120/ Department of Mathematics, D.N. College, Meerut, India. Anjali Harit Anurag Sharma Department of Mathematics, D.N. College, Meerut, India. S. R. Singh department of mathematics, C. C. S. University, Meerut, Uttar Pradesh, India. In this paper, we discussed about the imperfect items. In practice items may get damaged due to production or transportation conditions. Each lot receives some imperfect items. This model also considers the effects of business strategies such as optimal order size of raw materials, production rates and unit production costs, and idle time in different areas on the cooperation of marketing systems. The model can be used in industries such as textiles and footwear, chemicals, food. We develop an inventory model based on imperfect products and shortages. We consider demand is constant and continuous. Purpose of this study is not only to find the retailer`s optimal replenishment policies but also to minimize the total average cost. Finally, a numerical example is presented to illustrate the proposed model and sensitivity analysis of the optimal solution concerning parameters is carried out using the Mathematica 10.0 software. 07 30 2020 89 92 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3085.079220 https://www.ijrte.org/portfolio-item/A3085059120/ Department of Management, Amrita School of Business, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, Kerala, India. Eknath V R This paper focus in identifying the important factors that affects finance in pre-owned two wheeler market. The study shows that there is so much of enquiry for finance in the pre-owned two wheeler segment. This paper also shows the market condition in the used two wheeler segment at Thrissur and Ernakulam districts of Kerala. The customer profiling, customer’s preference in vehicles, market potentiality and so on. For this purpose primary data is collected from the dealers of the used two wheelers from the Thrissur and Ernakulam districts of Kerala. The used two wheeler segment is not organized and hence the data is procured from each dealer from their respective location in the mode of interview. Even though the customers can get a brand new vehicle on finance, most of them do not prefer the new vehicle on finance and look for used vehicle on finance as per the dealers. It’s seen that sales for the dealers with finance availability for customers is more than the dealers who do not have finance facility. But in the market there are only few financers and the present financers charge too much of rates, which hit the sales for the dealers. Most of the financers in this segment have withdrawn from the market as the legal requirements and terms and conditions in providing finance to the customer changed. Thus, the market availability for the financers are high and in through this paper we will identify the factors that affect finance in pre-owned two wheeler market. 07 30 2020 93 97 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3140.079220 https://www.ijrte.org/portfolio-item/B3140079220/ Dept. of Computer Sc. & Engineering, Haldia Institute of Technology, Haldia, West Bengal, India. Sayandeep Maity Suman Kumar Mal Dept. of Computer Sc. & Engineering, Haldia Institute of Technology, Haldia, West Bengal, India. In this work, we present an innovative technique for manually written character recognition that is disconnected, using deep neural networks. Since of the accessibility of enormous knowledge calculation and numerous algorithmic advances that are emerging, it has become easier in this day and age to train deep neural systems. And seeks to classify the numerical digits so that digits can be translated into pixels. Today, the computing force measure required to prepare a neural system has increased owing to the proliferation of GPUs and other cloud-based administrations like Google and Amazon offer tools to prepare a cloud-based neural system. We also developed a system for the recognition of character dependent on manually written image division. This project uses libraries such as NumPy, pandas, sklearn, seaborn to accomplish this either by linear and non-linear algorithm, to know its precision on confusion matrix and accuracy. This idea spins with RBF(radial basis function) which consists of two parameters as C and Gamma and classifying the pixel digits. To train those models, research work includes Convolutional Neural Network (CNN), Dynamic Neural Network(DNN), Recurrent Neural Network(RNN), and TensorFlow algorithms using Keras , which can be accurately used for the classification of the digits. 07 30 2020 98 102 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3148.079220 https://www.ijrte.org/portfolio-item/B3148079220/ Department of Civil Engineering, Kongunadu College of Engineering and Technology, Trichy, India. P. Kanaka K. Thiyagu Department of Civil Engineering, Kongunadu College of Engineering and Technology, Trichy, India. K. Anbarasi Department of Civil Engineering, Kongunadu College of Engineering and Technology, Trichy, India. S. Southamirajan Department of Civil Engineering, Kongunadu College of Engineering andTechnology, Trichy, India. K. Vengatesh Department of Civil Engineering, Kongunadu college of Engineering and Technology, Trichy, India. Populace blast combined with urbanization has raised the interest for water bringing about its shortage. With industrialization, the quantum of waste water produced too has taken off up justifying proper measures for use of the equivalent. We are here putting a stage forward to use the mechanical effluents in development industry. Practically all businesses dismiss there effluents either into rural terrains or into normal water bodies. We are thinking about the gushing waste water which is being placed in rural terrains from sugarcane businesses. Since the use of sugarcane modern waste water was not successfully done as such far, we accepting this task as a test. We gathered water tests and tests were directed to know its qualities. We directed tests to know pH and the outcome was contrasted and the Indian guidelines IS 10500 (2012) for drinking water. As the water utilized for drinking reason that the sugarcane modern waste water can be used for development purposes. As a second step we need to cast lab scale solid squares of M20 grade and ought to be tried for different new concrete and solidified solid tests. The side-effects of sugarcane like bag gash, press mud are utilized as substitutions of totals; we without a doubt accept that our venture will become achievement. With the ebb and flow water shortage in India there is a need to search for interchange hotspot for solid creation. By doing this undertaking we can move the solid business towards zero release office, and in this manner decreasing the wastage of a valuable normal asset. 07 30 2020 805 808 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3150.079220 https://www.ijrte.org/portfolio-item/B3150079220/ IB world school, PISD, Plano Texas, USA. Miss Ananya Sridhar This paper describes an inexpensive distracted driver detection device built using a Raspberry PI3, a video camera, and python code. Distracted and drowsy driving are two of the leading causes of automobile accidents in the United States, and this inexpensive standalone can help prevent those deaths. live video feed of the driver’s face is read in and through the facial landmark detector within DLIB, the co-ordinates of the eyes and mouth are extracted in real time. The ratio of the distance between the eyelids in the vertical direction to the horizontal direction defined as Eye Open Ratio is used to evaluate if the eye is open or closed and a similar ratio on the mouth(Mouth Open Ratio) is used to identify if it is open or closed. By looking at the eye and mouth open ratio for several consecutive frames, it is determined with >95% accuracy whether the driver is drowsy, distracted, or yawning. If any of these behaviors are noted, the device will prompt an audible warning to encourage the driver to focus on the road. The prototype was tested under a variety of lighting conditions from dark to bright light and on different subjects with and without glasses. This test data was used to determine the threshold for when the eye or mouth is determines open or closed. Additionally, the prototype’s settings are customizable for a primary driver to further improve the accuracy. The device connects to a smart phone and sends information with the time stamp of the distracted driver incident. This device can be used to prevent distracted or drowsy driving-related deaths, and is an inexpensive attachment that can easily be fitted into a preexisting vehicle. 07 30 2020 103 106 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3156.079220 https://www.ijrte.org/portfolio-item/B3156079220/ Electronics and Communication Engineering, SRM Institute Of Science and Technology, Chennai, India. Ashwanth V Manan Jain Electronics and Communication Engineering, SRM Institute Of Science and Technology, Chennai, India. P. Prabhu Asst. Prof (OG), Electronics and Communication Engineering, SRM Institute Of Science and Technology, Chennai, India. Global health, defined by the access to healthcare in every region, is symbolized by its demands to be economical and easily accessible. IOT based remote health monitoring system, advancing in the health care sector, is one of the most up-and-coming technological interventions. A serious concern world over, has been perilous work environment that pose health and safety hazards. With the advancements in technology, it is now possible to supervise individual health parameters and provide comprehensive information on health conditions. Users vital information can be monitored from anywhere with access to a specific control centre where the information is stored in real time. In this paper we present a remote health monitoring system that uses an IOT based smart edge technology, where wearable vital sensors transmit data to the cloud using a Wi-Fi module. 07 30 2020 107 111 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3158.079220 https://www.ijrte.org/portfolio-item/B3158079220/ School of Mechanical Engineering, MITWPU, Pune Maharashtra, India. Suhail Khaliq R.R Ghadge School of Mechanical Engineering ,MITWPU, Pune Maharashtra, India. Laminated composites are rapidly finding uses in different engineering applications like Aviation, Sports equipment, Marine technology, Aerospace and Electronics. This is due to their versatile engineering properties. Bolting and Bonding are the widely used joining techniques in composites. However bonding has added advantages over bolting in terms of weight reduction and strength .This paper explores the fatigue strength of single lap epoxy bonded joint between composite laminates. The experimental results are compared with FEA (Finite Element Analysis) results. 07 30 2020 112 114 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3167.079220 https://www.ijrte.org/portfolio-item/B3167079220/ Department of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. Mark S. Nonghuloo Nagaraja Rao A. Department of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. Language barrier is a common issue faced by humans who move from one community or group to another. Statistical machine translation has enabled us to solve this issue to a certain extent, by formulating models to translate text from one language to another. Statistical machine translation has come a long way but they have their limitations in terms of translating words that belongs to an entirely different context that is not available in the training dataset. This has paved way for neural Machine Translation (NMT), a deep learning approach in solving sequence to sequence translation. Khasi is a language popularly spoken in Meghalaya, a north-east state in India. Its wide and unexplored. In this paper we will discuss about the modeling and analyzing of a NMT base model and a NMT model using Attention mechanism for English to Khasi. 07 30 2020 115 118 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3175.079220 https://www.ijrte.org/portfolio-item/B3175079220/ Assistant Professor, Department of Computer Science & Engineering, Malla Reddy Engineering College (Autonomous), Hyderabad, Telangana, India. Mohammed Inayathulla PA Hima Kiran Associate Professor, Department of Computer Science & Engineering, Malla Reddy Engineering College (Autonomous), Hyderabad, Telangana, India. M Chandana Sri UG Student , Department of Computer Science & Engineering, Malla Reddy Engineering College (Autonomous), Hyderabad, Telangana, India. M Deepika UG Student Department of Computer Science & Engineering, Malla Reddy Engineering College (Autonomous), Hyderabad, Telangana, India. It is very obvious that human fall due to unconsciousness is a very common health problem in every human being. With the evolution of many smart health devices, we should contribute the technological advancement of machine learning into it. Different techniques are already used in order to detect human fall detection in human beings. In this paper we have studied the patterns of falling of human through the fall detection dataset while this human was performing various motions. By understanding all these we have generated the prediction protocol which estimates the fall of a person using fall detection dataset. Machine Learning classifiers were used to predict the human fall and a comparative study of various algorithms used was developed to find out the best classifier. 07 30 2020 119 121 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3180.079220 https://www.ijrte.org/portfolio-item/b3180079220/ Scholar, Department of Mechanical Engineering JIMS Engineering Management Technical Campus, GGSIPU 48/4, knowledge park III, Greater Noida, U.P, India. Vipul Rana Mr. Ram Jatan Yadav Assistant Professor, Department of Mechanical Engineering JIMS Engineering Management Technical Campus, GGSIPU 48/4, knowledge park III, Greater Noida, U.P, India. Lakshay Saini Scholar, Department of Mechanical Engineering JIMS Engineering Management Technical Campus, GGSIPU 48/4, knowledge park III, Greater Noida, U.P, India. Devashish Scholar, Department of Mechanical Engineering JIMS Engineering Management Technical Campus, GGSIPU 48/4, knowledge park III, Greater Noida, U.P, India. Rishabh Tomar Scholar, Department of Mechanical Engineering JIMS Engineering Management Technical Campus, GGSIPU 48/4, knowledge park III, Greater Noida, U.P, India. In this research paper, various studies revolving around how dirt and dust affect the performance of solar panels depending upon different regions, as different areas have different soil compositions and how they are different from one another. A new way of approach to the domestic solar panel cleaning system, researchers have proposed many ways to improve and classify the object and present it in an image in the past. However, there have few projects related to domestic cleaning of solar panels. Due to the inconsistencies in cleaning especially in region where rain is not the most convenient option for cleaning. On continuous using of solar panels, a layer of accumulated dust particles is settled on the surface of solar panels or PV panels which affect the result of decreasing in efficiency by 50 %. By cleaning on regular intervals it decreases this soil loss. Various data have been collected which shows the importance of domestic solar panel cleaning for future generation. 07 30 2020 712 715 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3182.079220 https://www.ijrte.org/portfolio-item/B3182079220/ Computer Science and Engineering, Koneru Lakshmaiah Education, Vaddeswaram, India. D.Naga Malleswari Hema Latha Anumolu Computer Science and Engineering, Koneru Lakshmaiah Education, Vaddeswaram, India. Likitha Vampugadawala Computer Science and Engineering, Koneru Lakshmaiah Education, Vaddeswaram, India. DivyaSai Jonnalagadda Computer Science and Engineering, Koneru Lakshmaiah Education, Vaddeswaram, India. The goal is to look for code performance metrics. Reliability is an important aspect of any program that cannot be ignored and difficult to measure. “Program reliability is defined as the probability of running programs without disruption in a specific environment for a specified period of time.” The reliability of the technology differs from the performance of the hardware. Program reliability is difficult because the complexity of the program is high. Different methods can be used to increase system performance, but it is difficult to balance development time, budget, and software quality. But the best way to ensure technology consistency is to build high-quality programs throughout the life cycle of the program. We will discuss software reliability metrics in this paper. Metrics used early on can help detect and correct defects of requirements that will prevent program lifecycle errors later. It also provides consistency quality of the information system database with the help of RStudio, and we can also illustrate reliability based on the value of cyclomatic complexity and we can say whether the data or software is more reliable, less reliable or somewhat reliable. 07 30 2020 122 125 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3184.079220 https://www.ijrte.org/portfolio-item/B3184079220/ Centre of Enery Studies, Indian Institute of Technology, New Delhi, India. Vinit Kumar Singh Dr. Ashu Verma Centre of Enery Studies, Indian Institute of Technology, New Delhi, India. Dr. T.S. Bhatti Centre of Enery Studies, Indian Institute of Technology, New Delhi, India. Rural areas are either weakly connected to grid or have no grid access. Therefore, hybrid system is only solution for continuous undisrupted power supply. Also these rural microgrids have specific types of load. Small systems are more vulnerable to load disturbances and therefore, frequency and voltage variation have post disturbance effect on the system stability. Four different types of loads having exponential voltage and frequency characteristics are considered for the study. EPRI Load modeling has been considered based on aggregate index calculation. The system is studied for step increase/decrease in load as well as input power to the wind energy system and also the post effect of voltage & frequency change on the load with its influence on the system is considered for study purpose. The isolated microgrid proposed has wind energy system with PMSG and biogas genset (BG) with synchronous generator (SG). The system is designed in such a way that any increase/decrease in load and input power to wind is taken up by the biogas system. No additional reactive power compensator is envisaged. Accordingly, the controllers are tuned using Integral Square Error criterion for mitigate variation in load voltage & frequency. 07 30 2020 327 334 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3200.079220 https://www.ijrte.org/portfolio-item/B3200079220/ Department of Statistics, Sultan Qaboos University, Sultanate of Oman. & Department Mathematical Sciences, South Eastern University of Sri Lanka, Sri Lanka. Dr. AM Razmy Dr. Faisal Mohamed Ababneh Department of Statistics, Sultan Qaboos University, Sultanate of Oman & Department of Mathematics, Al-Hussein Bin Talal University, Jordan. Dr. Ahmed Al-Hadhrami Department of Statistics, Sultan Qaboos University, Sultanate of Oman. Dr. Mohammad Zakir Hossain Department of Operations Management and Business Statistics, Sultan Qaboos University, Sultanate of Oman. Dr. Sadoon Abdullah Ibrahim Al-Obaidy Department of Mathematics, Al-Hussein Bin Talal University, Jordan. Jointly monitoring the process mean and variance has become a well-known topic in statistical quality control literature after it is considered as a bivariate problem. Many joint monitoring schemes have been proposed by using the Shewhart, cumulative sum and exponentially weighted moving average techniques. In this paper, best performing schemes from each technique has been selected and compared for their performance using average run length properties. It was found that selection of better joint monitoring scheme based on the shift in mean and variance to be detected quickly. In particular, the Shewhart distance joint monitoring scheme performs well when there is larger shifts in mean, variance or in both. In addition, the Shewhart distance joint monitoring scheme performs specific when there is no shift in mean and decrease in variance. For the smaller shifts in mean, variance or in both, cumulative sum and exponentially weighted moving average joint monitoring schemes can be recommended. At this scenario exponentially weighted moving average joint monitoring scheme performs marginally better than the cumulative sum scheme. 07 30 2020 335 340 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3201.079220 https://www.ijrte.org/portfolio-item/B3201079220/ Assistant Professor, Department of Civil Engineering, MVGR College of Engineering (Autonomous), Vizianagaram, Andhra Pradesh, India. Vinay V Adiseshu S Professor, Department of Civil engineering, University College of Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, India Chandramouli S Professor, Department of Civil Engineering, MVGR College of Engineering (Autonomous), Vizianagaram, Andhra Pradesh, India. In the present study, an attempt has been made to investigate strength and permeability of pervious concrete made with different combinations of aggregate sizes (20mm,12.5mm and 10mm) and different mix proportions using flyash and super platiciciser). The main objective of this investigation is to apply the pervious concrete through a footpath to improve groundwater recharge by finding out the best combination of grading of aggregates and also the mix proportion with fly ash for obtaining optimal permeability and strength. The effect of partial replacement of cement with fly ash and super plasticizer on the compressive strength and the water permeability of pervious concrete are investigated. The analysis of the test results indicated that the proposed combination of materials have increased the compressive strength significantly and also, the water permeability. Even though, the individual performances (maximum strength and maximum permeability) of some of the combinations obtained are good, but it is expected in the study to have reasonable values for both to use pervious concrete in the field. Hence, in this study, it is considered the intersection point on the strength versus permeability graph as the best combination. So, the combination with 40% of 20mm, 30% of 12.5 mm and 10mm and 10%flyash with 90% opc (53 grade) without super plasticizer considered as the best which gives 24 MPa and 15.6 mm/s permeability.. A footpath of size 1.2 m (width) x 0.25 m (thickness) x 19 m (length) is selected for laying pervious concrete in the form of number of panels. A constant discharge is applied on to the footpath in lateral direction and it is found that the absorption capacity of the laid mix in the field is 115.52 litres/ m length. 07 30 2020 341 350 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3203.079220 https://www.ijrte.org/portfolio-item/B3203079220/ Assistant Professor, Department of CSE, Sapthagiri College of Engineering, Bangalore, India. Nanda M B Madhura K Student, Department of CSE, Sapthagiri College of Engineering, Bangalore, India. Chathurya K Student, Department of CSE, Sapthagiri College of Engineering, Bangalore, India. Laxmi Tripathi Student, Department of CSE, Sapthagiri College of Engineering, Bangalore, India. In day to day life, the increase in Air and Sound pollution has become a distressing problem. It has now become a vital issue that is to be considered. To overcome this problem, an IoT based system to monitor the pollution levels constantly has been proposed. Nowadays Internet of things (IoT) is one of the most widely used and researched technology to monitor the environmental changes. It gives an innovative approach where various devices can be connected together with the use of the internet. By interconnecting different objects located at different locations, we can collectively analyze the data at a single place. This feature is useful in data analytics. Raspberry Pi mini-computer is used to collect different data from different sensors and this data is monitored. In our proposed system we are using four different modules namely Air Quality Monitoring System, Sound Intensity Monitoring System, Cloud based Monitoring System, Notification system. These modules are integrated together to monitor the environmental changes. This system can be implemented in remote areas where the bulky equipment cannot be placed. Industrial areas where the pollution levels are high can be constantly monitored and precautionary measures can be implemented if the pollution is more. 07 30 2020 126 130 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3207.079220 https://www.ijrte.org/portfolio-item/B3207079220/ Assistant Professor, Department of Civil Engineering, Kongunadu College of Engineering and Technology, Trichy, Tamilnadu, India. Mr. S. Southamirajan Mr. D. Dhavashankaran Assistant Professor, Department of Civil Engineering, Kongunadu College of Engineering and Technology, Trichy, Tamilnadu, India. Mrs. K. Anbarasi Assistant Professor, Department of Civil Engineering, Kongunadu College of Engineering and Technology, Trichy, Tamilnadu, India. P. Kanaka Assistant Professor, Department of Civil Engineering, Kongunadu College of Engineering and Technology, Trichy, Tamilnadu, India. Mr. R. Jegan Department of Civil Engineering, Kongunadu College of Engineering and Technology, Trichy, Tamilnadu, India. Lightweight concrete is the way to reduce the weight as well as deflection in concrete members without affecting its properties. Many of the researches are in progress to find a substitute for this lightweight material. In this project, we would like to take the naturally available fibre named sisal fibre and bamboo as partial replacement material. The influence of sisal fibres on the strength of concrete is taken as the main objective of this experimental study. The addition of natural fibre to the lightweight concrete will enhance the various strength parameters like flexural strength, compressive strength, and increase the ductile behaviour. In the present work, it is aimed to investigate the mechanical properties of lightweight concrete with a replacement of sisal fibre for cement and bamboo as a replacement in coarse aggregate in different percentages. The compressive strength, flexural strength, deflection of the beam is studied with consideration of M25 concrete specimens. Totally 36 number of 500 x 100 x 100mm flexural member cast and tested. It is recommended up to 5% replacement of coarse aggregate with bamboo and 5% addition of sisal fibres with cement provide at M25 grade of concrete gives the optimum increases of strength values. The test results indicated that the sisal fibres were effective in improving the strength of lightweight concrete. 07 30 2020 131 135 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3231.079220 https://www.ijrte.org/portfolio-item/B3231079220/ Department of Mechanical, Kongu Engineering College, Perundurai, India. A Saravanan S Kishore Department of Mechanical, Kongu Engineering College, Perundurai, India. A Gowtham Department of Mechanical, Kongu Engineering College, Perundurai, India. S Mathan Department of Mechanical, Kongu Engineering College, Perundurai, India. This project describes the drying of grapes using a solar powered air blower and a heating module (peltier chip) .The preparation and maintenance of grapes has been considered to be a major complex issue for a long time. In order to achieve more product and higher marks and achieve customer satisfaction more attention is given to quality features. Quality factors including color, size, taste were very important as they would differ from the dehydration process. This project is used to reduce drying time by using solar energy. Solar power plants are important in the tropics, which face challenges in accessing electricity, which severely limits the refrigeration usage as storage of agricultural products is limited, and the need to make products competitive overseas. In this project, the solar energy used to dry food is described; it is thought that hot weather conditions are favorable during the summer season. A DC drive for suction fan operation is used to send atmospheric air into the system and the air temperature is increased using a peltier chip placed in the air. DC’s utility system is powered by a battery charged with the help of solar panels and electricity supply. It works well that the design will be able to shorten the final product time rather than the traditional method. 07 30 2020 136 138 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3252.079220 https://www.ijrte.org/portfolio-item/B3252079220/ B.Tech scholar of Delhi Technological University, Bawana. Uditi Chaudhary Tanisha Kumari B.Tech scholar of Delhi Technological University, Bawana. Sara Bamiri B.Tech scholar of Delhi Technological University, Bawana. B.R.G Robert Assistant Professor, Delhi Technological University, Bawana. The paper presents modeling, design and analysis of sewage network of Utsav Vihar by means of Sewer GEMS software which helps in the achievement of project results in a shorter period of time in an effective way and at reasonable prices. In the present study the sewerage was designed for Utsav Vihar area in North – West Delhi District. Sewer GEMS software eases the designing for engineers because of unique features to offer a fully dynamic and multi-platform sanitary and combined sewer modeling solution which otherwise tends to consume a lot of time and energy. The software uses derived equations and theorems for calculating the hydraulic model. It enables engineers to analyze all sanitary and combined sewer networks in a single package. The hydraulic design section includes the calculation and determination of the transit, total flow and hydraulic modeling for network pipes diameters or slopes. The application generates reports, layouts, longitudinal or transverse cross section. 07 30 2020 598 602 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3255.079220 https://www.ijrte.org/portfolio-item/B3255079220/ ECE department, Arasu Engineering College, Kumbakonam, India. N. Nagalakshmi T. Thivagar ECE department, Arasu Engineering College, Kumbakonam, India. This research article demonstrates how to protect the power transformer from over load time. It is to controlling our desired voltage on various load times but the research gives some solution to avoid over voltage problem by automatic tapping technique. In this research tapping of transformer is selected automatically with the help of Peripheral Interface Controller (PIC) microcontroller. Effective use of potential transformer is to find out the precision in the system. The load voltage is measured by potential transformer which is given to precision rectifier. It will produce the accurate voltage levels. Here the things are using PIC microcontroller which is a flash type reprogrammable device in which system was already programmed. The Model was fabricated with Triode for Alternating Current (TRIAC) switches just as a switching devices and Peripheral Interface Controller microcontroller just as a control unit. In this research automatic control sections by using tap changer. In conventional methods industrialist used mechanical on load tap changer which is highly risk, because it does not produces constant output voltage and can create voltage dips. In this research it will be overcome above problem by using automatic electronic tap changer. It will produce constant voltage regulation and to measure variation of current. 07 30 2020 366 367 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3276.079220 https://www.ijrte.org/portfolio-item/B3276079220/ Civil Engineering Department, Sardar Vallabhbhai National Institute of Technology, Surat, India. School of Engineering, P. P. Savani University, Kosamba, Surat, India. Dr. P. J Gandhi Dr. P.G. Agnihotri Civil Engineering Department, Sardar Vallabhbhai National Institute of Technology, Surat, India. Flood is one of the disasters which have multiple impacts on the society and industry. It has severe impacts on the urban economy and has forced the scholars to develop resiliency plans. Various types of flood forecasting techniques developed by the scholars and have certain limitations. There are various types of multiple modeling techniques which are being used for flood controlling and each has certain limitations. The optimization techniques along with the artificial intelligence algorithms can be helpful for monitoring and early prediction of flood. The neural network models promises better accuracy compared to convention models for prediction, but they face great difficulties in selection of appropriate model parameters. In the said context, here an effort has been made to explore the importance of Cuckoo theorem in flood management. The cuckoo search algorithm can be used for parameter tuning. The hybrid approach of using cuckoo search algorithm with neural networks has given far better accuracy compared to standalone algorithms. The use of such Cuckoo Search Metaheuristic algorithm will help us to predict early warning system than any other method and helps us to align the flood controlling activities. The paper presents the used of variants of cuckoo search algorithm for early flood prediction. The paper unfolds major insights of flood scenarios along with the significance of flood control and monitoring. 07 30 2020 139 143 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3285.079220 https://www.ijrte.org/portfolio-item/B3285079220/ Sri Sri University, Cuttack, India. Rajendra Kumar Behera Sunil Kumar Dhal Sri Sri University, Cuttack, India. The Central Public Sector Enterprises have been performing vital macroeconomic objectives of a country such as economic growth, development of infrastructure, and contribute to the positive market situation. ERP Systems implementation in CPSEs working in mineral and metal sector enhances the financial performance. Financial indicator like Return on Assets, Return on invested Capital, return on equity, and Return on sale have a significant impact on ERP Adopter when it compares with ERP non- adopter working in mineral and metal sector. 07 30 2020 144 149 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3287.079220 https://www.ijrte.org/portfolio-item/B3287079220/ Department of Computer Science & Applications,Dr. Harisingh Gour Central University, Sagar, MP ,India. Shrabanti Mandal Girish Kumar Singh Department of Computer Science & Applications, Dr. Harisingh Gour Central University, Sagar, MP ,India. In this study we propose an automatic single document text summarization technique using Latent Semantic Analysis (LSA) and diversity constraint in combination. The proposed technique uses the query based sentence ranking. Here we are not considering the concept of IR (Information Retrieval) so we generate the query by using the TF-IDF(Term Frequency-Inverse Document Frequency). For producing the query vector, we identify the terms having the high IDF. We know that LSA utilizes the vectorial semantics to analyze the relationships between documents in a corpus or between sentences within a document and key terms they carry by producing a list of ideas interconnected to the documents and terms. LSA helps to represent the latent structure of documents. For selecting the sentences from the document Latent Semantic Indexing (LSI) is used. LSI helps to arrange the sentences with its score. Traditionally the highest score sentences have been chosen for summary but here we calculate the diversity between chosen sentences and produce the final summary as a good summary should have maximum level of diversity. The proposed technique is evaluated on OpinosisDataset1.0. 07 30 2020 150 156 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3288.079220 https://www.ijrte.org/portfolio-item/B3288079220/ Professor, Department of Computer Science and Engineering, Jeppiaar Institute of Technology, Sriperumpudur, Kanchipuram, India. Mrs. Gladiss merlin Vinoth Kumar.D Department of Computer Science and Engineering, Jeppiaar Institute of Technology, Sriperumpudur, Kanchipuram, India. Hariharan M Department of Computer Science and Engineering, Jeppiaar Institute of Technology, Sriperumpudur, Kanchipuram, India. Aswath R.S Department of Computer Science and Engineering, Jeppiaar Institute of Technology, Sriperumpudur, Kanchipuram, India. With the development of science and technology, the design of modern architecture is becoming more and more attractive. Now a days the medical fields become more wide development in machinery the same way the data storage also developed higher . The main reason for proposing the paper is to store the patient data into the cloud. The patient can access the data from anywhere at any time. . The delivering of public health solutions can lead to increased efficiency in health related data. Many nations across the globe have launched aggressive stimulus programs aimed at solving public health care problems in efficient way .This paper proposed for maintain the patient health record in cloud computing. 07 30 2020 157 160 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3294.079220 https://www.ijrte.org/portfolio-item/B3294079220/ Professor, KLEMSSCET, Belagavi, India. Dr.Manjula. C. Gudgeri Mrs. Varsha Research Scholar, KLEMSSCET, Belagavi, India. In a graph G = (V, E) each vertex is said to dominate every vertex in its closed neighborhood. In a graph G, if S is a subset of V then S is a double dominating set of G if every vertex in V is dominated by at least two vertices in S. The smallest cardinality of a double dominating set is called the double domination number γx2 (G). [4]. In this paper, we computed some relations between double domination number, domination number, number of vertices (n) and maximum degree (Δ) of Helm graph, Friendship graph, Ladder graph, Circular Ladder graph, Barbell graph, Gear graph and Firecracker graph. 07 30 2020 161 167 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3307.079220 https://www.ijrte.org/portfolio-item/B3307079220/ Department of Electronics and Communication, R.V College of Engineering, Bengaluru, India. Chiranjeevi N Aditya Shankar Hegde Department of Electronics and Communication, R.V College of Engineering, Bengaluru, India. Ravi Shankar Holla Assistant Professor, Department of Electronics and Communication, R.V College of Engineering, Bengaluru, India. Now-a-days, the RF spectrum is used for most of the applications and automation. This is leading to the inadequacy of the RF spectrum for the human and machine requirements. As a solution to this crisis, we have proposed the use of Li-Fi (Light-Fidelity) as an alternate mode of communication. Wireless communication inside buildings and indoors is an important part of the next generation wireless communication system and these concepts can be applied to external wireless communication. Li-Fi provides high data rate (Up to 10 Gbps), improved security and high capacity to support more users. The spectrum bandwidth of light is very large, resulting in accommodation of more number users. A hybrid model of Wi-Fi and Li-Fi increases the advantages and applications, resulting in the best of both communication techniques. This paper describes the hardware implementation of Li-Fi based on IR transmitter and receiver and gives an overview of the signal conditioning for the implementation of a Li-Fi based system. This is followed by the simulation of a Multi nodal Li-Fi based system in MATLAB for determining the coverage, received power, SNR and output signal. With half angle as the variable, the coverage of an entire Multi nodal Li-Fi based system along with signal strength and other parameters can be determined. It also proposes a machine learning algorithm for selecting the best channel by considering factors like the received power, varying noise, etc. 07 30 2020 165 168 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3314.079220 https://www.ijrte.org/portfolio-item/B3314079220/ Remote Sensing & GIS Department, Vidyasagar University,Midnapore, India. Mrs. Samrin Fatema Dr. Abhisek Chakrabarty Remote sensing & GIS Department, Vidyasagar University, Midnapore, India. Road accidents are a vital problem in our country for various reasons. According to WHO reports, approximately 1.25 million people died each year, and more than 50 million people injured in road accidents all over the world. Road accident is mostly human-made, and it’s affecting your life negatively. Regarding, many studies or research has been performed to reduce road accident and identify the accident blackspot. This paper represents a methodology to find out the accident-prone zone, estimation of Kernel Density and black Site & black Spot identification of major roads Medinipur and Kharagpur development Authority (MKDA) planning area using of Geographical Information Systems (GIS). For this study, road accident data collected from Paschim Medinipur Kotwali Police station from 2016 to 2019. A kernel density estimation was created to identify black spots & black sites of the study area. Based on the result, suggestions are provided to improve the situation in the future. 07 30 2020 169 174 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3351.079220 https://www.ijrte.org/portfolio-item/B3351079220/ Undergraduate B.Tech., Vellore Institute of Technology, Vellore, India. Debajit Datta Prof. J. Dheeba Associate Professor in School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. In this era of technological advances, it will be impractical to think of a day without the usage of gadgets. Development and popularity of the Internet of Things have helped mankind a lot in several ways, but at the same time, there has also been an increase in attacks invading the underlying security. Advances in studies have resulted in the development of evolved algorithms that can be used in order to reduce the attacks and threats to the Internet of Things. With several advancements in studies and research works, the security measures on various Internet of Things based components and protocols are developing with time, but concurrently more advanced threats and attacks on these components are also evolving. These attacks are not only harmful to the components, but rather they also affect the users and applications that are associated with it, by breaching data, increase in inconsistency and inaccuracy, and many more. This work deals with the study of several attacks that are associated with the Internet of Things and also the approaches to secure the IoT systems. This work will also help in coming up with further up-gradation in the currently implemented security protocols and also in predicting the possible attacks that can be developed against the IoT protocols. 07 30 2020 175 184 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3353.079220 https://www.ijrte.org/portfolio-item/B3353079220/ Student, Department of Electrical Engineering, MIT World Peace University, Kothrud, Pune, India. Pratik Shiva Meshram Dhanashree Keshao Parate Student, Department of Electrical Engineering, MIT World Peace University, Kothrud, Pune, India. Chetan Bhairu Jawale Student, Department of Electrical Engineering, MIT World Peace University, Kothrud, Pune, India. Akshay Vyankat Yewate Student, Department of Electrical Engineering, MIT World Peace University, Kothrud, Pune, India. Dr. Netra Lokhande Department of Electrical Engineering, MIT World Peace University, Kothrud, Pune, India. Dental radiographs do a great deal of work on the evidence of criminal classification. Science deontology is used in crimes that deal with the evidence of a person’s separation related to dental exposure. Due to the advances in data design and the need to evaluate more cases by legal professionals, it is important to use a human evidence framework. Dental radiographs can be classified as biometric if there are no alternatives to body biometrics, for example, palm, finger, iris, face, leg print, and so on. The human body seen using dental radiographs is best under certain conditions when there are no biometric alternatives because the teeth and bones are treated like skin tissues and tissues found in the human body. 07 30 2020 185 189 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3363.079220 https://www.ijrte.org/portfolio-item/B3363079220/ School of Electronics Engineering, Vellore Institue of Technology, Vellore, India. Poonkuzhali R Healthcare is a labour intensive industry. A substantial amount of money and resources are spent on hiring caretakers and nurses for patients who need constant attention for their sustenance. The proposed system can be used for a broad spectrum of patients but specifically focuses on the elderly, the bedridden, and the ones with limited mobility. The proposed work provides a solution to get a full-fledged working system that automates every aspect of patient monitoring to reduce errors introduced by human intervention. It provides a framework of seamless interaction with the patient and, finally, to deliver external assistance for mobility. This proposed system relies on embedded computers, ECG, IoT, RTC, HMM, machine learning, and other sensors used in the healthcare industry. 07 30 2020 268 275 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3367.079220 https://www.ijrte.org/portfolio-item/B3367079220/ Computer science, SRM Institute of science and Technology, Chennai, India. Vidhyavani A Pooja Gopi Computer science, SRM Institute of science and Technology, Chennai, India. Sushil Ram T Computer science, SRM Institute of science and Technology, Chennai, India. Sujay Sukumar Computer science, SRM Institute of science and Technology, Chennai, India. This application starter work in the region of site page expectation is introduced. The structured and actualized model offers customized association by anticipating the client’s conduct from past web perusing history. Those forecasts are a short time later used to streamline the client’s future connections. We propose a Profile-based Interaction Prediction Framework (PIPF), which can illuminate the occasion activated connection expectation issue productively and adequately. In PIPF, we initially change the cooperation sign into a Sliding-window Evolving Graph (SEG) to decrease the information volume and steadily update SEG as the association log develops. At that point, we construct profiles intended to introduce clients’ conduct by separating the static and astounding highlights from SEG. The static (separately, astonishing) stress mirrors the normality of clients’ conduct (individually, the transient conduct). At the point when an occasion happens, we process the closeness between the event and every competitor connects. 07 30 2020 190 192 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3372.079220 https://www.ijrte.org/portfolio-item/B3372079220/ Electronics & Communication Department, KLE Dr. M.S. Sheshgiri College of Engg & Technology, Belagavi, Karnataka, India. Nataraj Vijapur Srinivasa Rao Kunte Electronics & Communication Department, Sahyadri College of Engineering & Management, Mangalore, India. Survey of world health organization has revealed that retinal eye disease Glaucoma is the second leading cause for the blindness worldwide. It is the disease which will steal the vision of the patient without any warning or symptoms. About half of the world Glaucoma patients are estimated to be in Asia. Hence, for social and economic reasons, Glaucoma detection is necessary in preventing blindness and reducing the cost of surgical treatment of the disease. The objective of the paper is to predict and detect Glaucoma efficiently using image processing and machine learning based classification techniques. Segmentation techniques such as unique template approach, Gray Level Coherence Matrix based feature extraction approach and wavelet transform based approach are used to extract these structure and texture based features. Combination of structure based and texture based techniques along with machine learning techniques improves the efficiency of the system. Developed efficient Computer aided Glaucoma detection system classifies a fundus image as either Normal or Glaucomatous image based on the structural features of the fundus image such as Cup-to-Disc Ratio (CDR), Rim-to-Disc Ratio (RDR), Superior and Inferior neuro-retinal rim thicknesses, Vessel structure based features and Distribution of texture features in the fundus images. 07 30 2020 193 201 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3374.079220 https://www.ijrte.org/portfolio-item/B3374079220/ Student, School of Mechanical and Civil Engineering, MIT Academy of Engineering, Pune, Maharashtra, India. Chinmayanand Jagtap Adesh Jadhav Student, School of Mechanical and Civil Engineering, MIT Academy of Engineering, Pune, Maharashtra, India. Pratik Gaikwad Student, School of Mechanical and Civil Engineering, MIT Academy of Engineering, Pune, Maharashtra, India. Mayur Patil Student, School of Mechanical and Civil Engineering, MIT Academy of Engineering, Pune, Maharashtra, India. Abhimanyu Chandgude Assistant Professor, School of Mechanical and Civil Engineering, MIT Academy of Engineering, Pune, Maharashtra, India. Delamination is a type of defect produced while machining composites or layered materials. Due to matrix crack, shear crack and bending crack delamination is caused. Delamination is usually a separation along a plane parallel to the surface as in the separation of a coating from a substrate or layers of coating from each other. The aim of this project is to explore the study of delamination in carbon Fibre/epoxy composites under abrasive water jet machining. An experimental investigation was held to study the effect of delamination due to abrasive water jet machining on carbon fibre reinforced polymer. Effect of various parameters such as transverse speed, standoff distance, abrasive mass flow rate and water pressure was analysed. Taguchi method was used for overall analysis of parameters. Effect of Kerf width in CFRP material and on fibre cut was analysed step by step. Further observation was done on scanning electron microscopes. It can affect the compression strength of composite laminate and it will slowly cause the composite to experience failure through the buckling. Here the composite of Carbon Fibre Reinforced Polymer is made using carbon fibers and epoxy resin. Further cutting of CFRP is done using Abrasive water jet machining and analysis of delamination at various phases of the material is done. Analysis is done at which parameters delamination is reduced to minimum. 07 30 2020 202 208 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3378.079220 https://www.ijrte.org/portfolio-item/B3378079220/ Student, Department of Civil Engineering, Dr. Vishwanath Karad MIT World Peace University, Pune, India. Dhruv Deepak Pravin Minde Assistant Professor, Department of Civil Engineering, Dr. Vishwanath Karad MIT World Peace University, Kothrud, Pune, India Concrete is the most widely used product in the construction sector mainly because of its properties and its capability to be moulded to any size. Plain concrete has low tensile strength and forms internal micro cracks. It has been proven that with the addition of natural fibers and synthetic fibers in concrete, it helps in the durability and functionality of structure. The steel fibers are added to the concrete in very low volume doses and it has been effective in decreasing the plastic shrinkage in cracking and also acting as a crack arrestor. In this journal, experimental analysis on steel fiber reinforced concrete is done on M30 and M50 mix with 0.5%, 1%, 1.5% and 2% volume fraction of steel fiber content and is compared with samples of 0% steel fiber content and these samples are investigated on their compressive, split tensile and flexural strengths. 07 30 2020 209 212 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3380.079220 https://www.ijrte.org/portfolio-item/B3380079220/ Assistant Professor, Department of CSE, SJB Institute of Technology, Bangalore, India. Chaitra H K Dr. Suneetha K R Associate Professor, Department of CSE, Bangalore Institute of Technology, Bangalore, India. In the current digital Era, websites are developed and organized into multifaceted in nature. It is essential to distinguish user sessions/intent and browsing behavior from logs in order to recommend appropriate content for the web designers and administrators. This paper focuses on data preprocessing of the weblogs received from Kannada University Hampi, Vidyaranya Karnataka state are cleaned viably by applying various pre-processing methodologies. The work identifies the superior quality of data to discover user interactions, user sessions, the specific web pages, and the regularly visited Uri’s, most visited pages, most time spent on pages and incorrect webpages served to users. These pre-processed webserver access log files will be utilized to discover patterns, fine grained analysis and study. This paper also focuses on challenges of log file analysis. 07 30 2020 213 220 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3385.079220 https://www.ijrte.org/portfolio-item/B3385079220/ Marine Engineering, Marine Engineering and Research Institute (Indian Maritime University), Kolkata, West Bengal, India. Ritbik Kumar Sourin Karmakar Marine Engineering, Marine Engineering and Research Institute (IMU), Kolkata, West Bengal, India. Wamiq Asrar Marine Engineering, Marine Engineering and Research Institute (IMU), Kolkata, West Bengal, India. Raju Ranjan Marine Engineering, Marine Engineering and Research Institute (IMU), Kolkata, West Bengal, India. This paper aims to draw people’s attention towards one of the major cause of accidents at sea, its impact and the methods we can adopt to reduce the chances of accidents considerably. The paper finds slow braking rate as the key cause of maximum accidents and suggests two systems designed to increase the deceleration rate of the ships. A detailed explanation about the working and the setting up of our proposed systems ECDS (Emergency Cargo Drop Stop) and EBP (Emergency Braking Propellers) has been provided in the course of the paper. It also draws a comparison between the pros and the cons of these systems. The study’s conclusion indicates the significance of these two systems and how it paves the way for further study on the application and benefits of these systems. 07 30 2020 221 224 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3394.079220 https://www.ijrte.org/portfolio-item/b3394079220/ Department of Management, Sri Sri University, Cuttack, India. Tulika Bal Sunil Kumar Dhal Professor, Department of Management, Sri Sri University, Cuttack, India. Corporate reporting provides the comprehensive picture of an organisation’s performance and position to the stakeholders. In the recent years, corporate reporting has seen a major changes and it has evolved from the financial reporting to the integrated reporting (IR). IR is a corporate reporting reform practised recently by many big companies all over the world. In a precise way, IR has combined the financial report and sustainability report, thus making it more integrated and transparent. Integrated report focuses on the six capitals in a broad way and their value creation for the company over the years. This article has examined many recent research articles to find out the research progress in the area of IR. Analysis of data of 12 companies in six sectors has been made to analyse the value creation of these companies in six capitals. It is observed that the score of reporting for human capital, social and relationship capital, and financial capital was better as compared to intellectual capital, manufacturing capital and natural capital. 07 30 2020 225 229 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3416.079220 https://www.ijrte.org/portfolio-item/B3416079220/ Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India. Rajalakshmi J Dr. P. Kumar Professor, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India. Gesture Recognition is a major area in Human-Computer Interaction (HCI). HCI allows computers to capture and interpret human gestures as commands. A real-time Hand Gesture Recognition System is implemented and is used for operating electronic appliances. This system is implemented using the deep learning models such as the Convolution Neural Network (CNN) and the Recurrent Neural Network (RNN). The combined model will effectively recognize both static and dynamic hand gestures. Also the model accuracy while using VGG16 pre-trained CNN model is investigated. 07 30 2020 230 233 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3417.079220 https://www.ijrte.org/portfolio-item/B3417079220/ Dept. of Physics, Sri Siddhartha Institute of Technology, Tumakuru, India. M. Nagaraja Sushma Prashanth Dept. of Physics, Sri Siddhartha Institute of Technology, Tumakuru, India. Jayadev Pattar School of Physics, REVA University, Bengaluru, India. H.M. Mahesh Dept. of Electronic Science, Bangalore University, Bangalore, India. By employing chemical route PANI/DBSA-C60 (Polyaniline/Dodechyl benzene sulfonic acid –Fullerene) nanocomposite is synthesized by using ammonium persulfate and DBSA as oxidizing agent and acid dopant respectively. Synthesized samples are characterized for FTIR (Fourier Transform Infrared Spectroscopy), SEM (Scanning Electron Microscope), XRD (X-ray diffraction), electrical conductivity using standard four probe method and methanol gas sensing properties. The FTIR spectrum illustrates the existence of interaction between polyaniline and fullerene. XRD spectra prove the formation of PANI/DBSA-C60. In collaboration with these, SEM images also indicate the highly branched chain structure of the PANI in the presence of C60. The PANI/DBSA-C60 showed the electrical conductivity more than over pure PANI/DBSA. The gas response of the PANI/DBSA-C60 nanocomposite towards different concentration of methanol was examined and compared with that of the pure PANI/DBSA. The PANI/DBSA-C60 was observed higher methanol gas sensing capacity compared to pure PANI/DBSA. 07 30 2020 276 279 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3426.079220 https://www.ijrte.org/portfolio-item/B3426079220/ School of Computer Applications, Lovely Professional University, Phagwara, India. Deepjyot Kaur Ryait Dr. Manmohan Sharma School of Computer Applications, Lovely Professional University, Phagwara, India. The Software Defined Network (SDN) provides an innovative paradigm for networking, which improve the programmability and flexibility of the network. Due to the separation between the control and data plane, all the control logic transfer to the controller. In SDN, the controller, which provides a global view of the whole network. That is why it acts as the “Network Brain” of the network. Because the controller has the capability to configure or reconfigure the forwarding devices by customizing their policies in a dynamic manner. Thus, the controller provides a centralized logical view of the entire network. Therefore, all manipulation and implementation in the network are control by the single controller in the SDN, which increases the maximum chance of a single point of failure (SPOF) in the network. As a consequence, it collapses the entire network. Therefore, a fault tolerance mechanism is required which reduce single point of failure in the network by using multiple controllers. As a significance, this mechanism also increases the scalability, reliability, and high availability of services in the network. The three different roles of multiple controllers are equal, master and slave exist in the SDN. In the simulation, the Ryu SDN controller and Mininet tool are utilized. During the simulation to analysis, what is happen when a single point of failure (SPOF) occur in the network and how to use the different roles of the multiple controllers (such as equal, master and slave) which reduces the threat of single point of failure in SDN network. 07 30 2020 234 241 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3433.079220 https://www.ijrte.org/portfolio-item/B3433079220/ Military-Technical Institute of the National Guard of the Republic of Uzbekistan, PhD, Docent, Docent of department armored vehicles and their operations, Tashkent, Uzbekistan. Doniyor А. Аkhmedov Davron I. Xashimov Tashkent Institute of Design, Construction and Maintenance of Automobile Roads, PhD, Docent, Tashkent, Uzbekistan. Munavvar X. Rashidova Independent researcher, Military-Technical Institute, National Guard of the Republic of Uzbekistan, Tashkent, Uzbekistan. Dilnoza B. Namozova Independent researcher, Military-Technical Institute, National Guard of the Republic of Uzbekistan, Tashkent, Uzbekistan. In this article, a mathematical model has been developed to show the effect of the drivers’ steering wheel turning intensity on the vehicle’s stability. The developed mathematical model was compared with the results of experiment and its adequacy was evaluated. 3 conditional drivers turn the steering wheel of the vehicle at different speeds. When the conditional drivers were analyzed in the “J-turn” maneuver, it was determined that the indicators of 1,2,3 – conditional drivers are close to the standard. The conditional 2-driver recorded an indicator close to the standard. As for the “Single Lane Change” maneuver, the value of the smallest quadratic deviation from the trajectory of conditional 1-driver was recorded, the correlation index was equal to 0.102, respectively, 0.88. 07 30 2020 242 247 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3464.079220 https://www.ijrte.org/portfolio-item/B3464079220/ Department of Information Technology, R.M.D Engineering College, Chennai, India. Dr. Jothilakshmi R Sharanesh R Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India. Agriculture is the backbone and plays a vital role in many Asian countries. Farmers mainly depend on their agricultural produce for their living. A report says one-third of the farmers income account’s for the agricultural loss which is primarily due to plant diseases. To combat this farmers are in need of a early plant disease identification mechanism. Observation of individual plants in the farm for detecting the disease is labor-intensive and time consuming work, if the farm is vast and multiple plants are cultivated then it’s even worse. To solve such issues, current technologies like the Internet of Things (IoT) and artificial intelligence (AI) and Machine Learning (ML) are used to predict the diseases more effectively. Farmers usually detect plant diseases with the help of images captured manually and analyzed separately by experts. The proposed system renders an efficient solution for detecting multiple diseases in several plant varieties. The system is designed to detect and recognize several plant varieties, specifically pepper, grapes, and strawberry. The proposed system discovers various plant’s various diseases based on the inputs obtained by capturing images from a built-in camera present in the Autonomous rover. The rover also record’s it’s GPS location and makes a map of the entire farm traced and checked by the robot. The images are processed and are classified into their respective categories using deep learning algorithms. Convolutional neural networks the powerful methodology for image classification is the underlying principle applied. The deep learning model’s architecture namely, VGG16 and InceptionResNetV2, are used to train the model. These models are primarily made of convolutional layers. On testing, we recorded am accuracy of 93.21% was obtained from VGG16, and 95.24% from InceptionResNetV2. 07 30 2020 248 254 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3469.079220 https://www.ijrte.org/portfolio-item/B3469079220/ Department of Electronics & Communication Engg., Jyothy institute of technology, Bangalore, India. Srilakshmi R Dr. Chayapathy V Department of Electrical & Electronics Engg. RVCE, Bangalore, India. Dr.Anitha G S Department of Electrical & Electronics Engg. RVCE, Bangalore, India. Power sector is one of the factors that play an eminent role in the economic progress of a country and India has got a distinguished power sector with sources of power generation from feasible renewable energy resources to non-renewable energy resources. Owing to the fact of increasing day to day demand in power sector, integration of renewable energy sources, increased usage of non linear loads etc. results in voltage fluctuations, which in turn affects most of the customer’s load and their electricity bills too. If these voltage problems are not treated properly it may lead to serious conditions like voltage instability. Hence firstly in order to meet the increase in demand either new transmission line should be opted or the existing transmission line should be analyzed whether it is capable of handling increased load or not. Secondly to resolve Voltage fluctuation issues compensating devices should be used. Hence in this paper an effort is made to address both of the aforementioned issues, a 10-bus system is checked for existing transmission line performance under normal condition then for increased load condition , followed by an effort to shed light on the voltage profile improvement and loss reduction using SVC and also enlightens about the optimal allocation of SVC based on FVSI in a compact form. 07 30 2020 280 283 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3471.079220 https://www.ijrte.org/portfolio-item/B3471079220/ Student, Department of Computer Science and Engineering, VIT University, Vellore, Tamil Nadu, India. Rishabh Kansal Lavanya Yadav Student, Department of Computer Science and Engineering, VIT University, Vellore, Tamil Nadu, India. Dr Aju D Associate Professor, Department of Computer Science and Engineering, VIT University, Vellore, Tamil Nadu, India. A lot of us are misinformed about trash and how it can be managed. We don’t know what kind of trash can be repurposed or be turned into usable items such jas manure. We tend to throw everything out together without segregating at the source of generation. Through our app, they can simply point towards objects and understand what to do with that trash. The goal is to sensitize people not only to segregate trash but also reduce their waste regeneration through practices like composting and reusing. We should first try to understand the plight of waste management in India and how it can be made better. In this project, we will create a mobile app, Python Server with Flask, and Watson Visual Recognition. This mobile app sends pictures of waste and garbage to be analyzed by a server app, using Watson Visual Recognition. The server application will use pictures of common trash to train Watson Visual Recognition to identify various categories of waste, e.g. recycle, compost, or landfill. The resultant smart dustbin is very effective as people have an urge of curiosity and after learning more about their waste, they always tend to make the right decisions. We aim to make a difference in the society through our app and help in making a cleaner and better tomorrow. 07 30 2020 255 260 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3476.079220 https://www.ijrte.org/portfolio-item/B3476079220/ Assistant Professor, Department of Computer Science, J.C. Bose University of Science and Technology, Haryana, India. Dr. Jyoti Verma Peri Arjun Student, Department of Computer Science, J.C. Bose University of Science and Technology, Haryana, India. The healthcare industry is inflicted with the plethora of patient data which is being supplemented each day manifold. Researchers have been continually using this data to help the healthcare industry improve upon the way major diseases could be handled. They are even working upon the way the patients could be informed timely of the symptoms that could avoid the major hazards related to them. Diabetes is one such disease that is growing at an alarming rate today. In fact, it can inflict numerous severe damages; blurred vision, myopia, burning extremities, kidney and heart failure. It occurs when sugar levels reach a certain threshold, or the human body cannot contain enough insulin to regulate the threshold. Therefore, patients affected by Diabetes must be informed so that proper treatments can be taken to control Diabetes. For this reason, early prediction and classification of Diabetes are significant. This work makes use of Machine Learning algorithms to improve the accuracy of prediction of the Diabetes. A dataset obtained as an output of K-Mean Clustering Algorithm was fed to an ensemble model with principal component analysis and K-means clustering. Our ensemble method produced only eight incorrectly classified instances, which was lowest compared to other methods. The experiments also showed that ensemble classifier models performed better than the base classifiers alone. Its result was compared with the same Dataset being applied on specific methods like random forest, Support Vector Machine, Decision Tree, Multilayer perceptron, and Naïve Bayes classification methods. All methods were run using 10k fold cross-validation. 07 30 2020 312 316 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3480.079220 https://www.ijrte.org/portfolio-item/B3480079220/ PhD Scholar, Department of Mechanical Engineering, GLA University, Mathura, India. Mr Indra Jeet Yadav Dr. Rudra Pratap Singh Associate Professor, Department of Mechanical Engineering, GLA University, Mathura, India. Joining of materials is the need of modern industries and stuctures. Shielded metal arc welding process is one of the most popular and commonly used method of joining materials. The weld reinforcement height should be optimum for mechanical properties of the weld. If the reinforcement height is less or negative, it is not recommended considering strength of weld as surface area will be reduced and if the reinforcement height is more, it will produce stress concentration which is not recommended. In the present work the investigation of the effect of three different types of electrodes at three different welding currents in shielded metal arc welding process utilizing Low Carbon Steel plate of API 5L Grade X 52, was done for reinforcement height. The three different electrodes as E 6013, E 7016 and E 7018 and the varying currents as 90 A, 100 A and 110 A. Total 18 pieces were used to obtain 9 welds which were used to analyze the effect of current and the electrode on reinforcement height. The dimensions of the work pieces were taken as 75 mm x 50 mm x 5 mm. The values of reinforcement height in each weld were written in a table and respective diagrams were drawn to make clear the effect of welding current on reinforcement height for the three different electrodes. 07 30 2020 317 320 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3482.079220 https://www.ijrte.org/portfolio-item/B3482079220/ School of Computing, Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia. Lim Zi Hao Mafas Raheem School of Computing, Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia. Seetha Letchumy School of Computing, Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia. Diabetes is a well-known common disease among people around the world. Diabetes causes many anomalies in the body and results in the patients to become under a long term medication. Detecting diabetes has been done via hectic medical tests and causes a delay for the patients to get to know their test results. However, data mining and machine learning approaches are in the frontline supporting the health care domain to make effective predictions in this regard. This paper elaborates about predicting Type 2 Diabetes Mellitus using classification models. A suitable secondary dataset was used to build classification models and the more suitable model was selected via the valid performance measures. In this line, the Random Forest, Support Vector Machine, Naïve Bayes and Artificial Neural Network models were built. Based on the performance measures, Random Forest has been identified as the more suitable classifier with the accuracy of 90%, the recall and precision value of 0.90. 08 30 2020 603 608 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3484.079220 https://www.ijrte.org/portfolio-item/B3484079220/ Assistant Professor(Business Studies), European International College, Abu Dhabi ,U.A.E. Dr. Sugandha Agarwal Dr. Upendra Singh Associate Professor, Department of Finance & Commerce, SRM University, DELHI-NCR, Sonepat, Haryana, India. The undertaken subject could be considered controversial, some people take ‘emotional intelligence’ as a non-existent matter, while others see it as having a huge impact on employee performance. The present research analyses the association and impact of emotional intelligence (EI) on workforce performance while taking into account demographic features along with individual clusters of emotional intelligence. The Emotional Competence Inventory model is considered to explore EI and its four dimensions- self-awareness, self-management, social-awareness and relationship management. The domain of study is UAE, where hardly such a topic is being explored earlier. A quantitative study is employed with a sample of 119 participants accessed through convenience approach from diverse sectors such as banking, education, health, engineering and recruitment of UAE. The statistical tools such as Cronbach’s Alpha, Chi-square test, Correlation and Regression analysis including ANOVA are put to analyse the primary data to serve the basis for results & discussion. Results reflect that emotional intelligence is independent of age, gender, qualification and designation of employees. It also statistically proves that all the dimensions of emotional intelligence are not equally significant or even considerate to affect employee performance. 07 30 2020 285 291 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3488.079220 https://www.ijrte.org/portfolio-item/B3488079220/ Department of Civil Engineering, Sri Krishna College of Technology, Coimbatore, India. S. Sreesha P. Esakkiraj Department of Civil Engineering, Sri Krishna College of Technology, Coimbatore, India. Dr. V. Sreevidya Department of Civil Engineering, Sri Krishna College of Technology, Coimbatore, India. Sustainable building production includes the effective usage of natural materials by the processing of waste materials. The present work aims to use different waste materials, such as fly ash, industrial waste pond ash, rubber crumbs from rubber tires, recycled coarse aggregate from building waste. In doing so, the goal of reducing building costs will be achieved and can help to solve the issues connected with its disposal, particularly the environmental concerns of the area. Throughout this project, Rubber Crumbs (RC) and Recycled Coarse Aggregate (RCA) were partly substituted instead of coarse aggregate with a percentage of 10, 15, 20, and 5, 10, 15, which were found to improve the flexural strength of concrete. Such products may also be used for renewable building purposes. 07 30 2020 292 296 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3489.079220 https://www.ijrte.org/portfolio-item/B3489079220/ Student-IT, Velagapudi Ramakrishna Siddhartha Engineering College, India. Appasani Geetha Pasumarthi Sai Ramya Student-IT, Velagapudi Ramakrishna Siddhartha Engineering College, India. Chenikala Sravani Student-IT, Velagapudi Ramakrishna Siddhartha Engineering College, India. M. Ramesh Guide, Assistant Professor-IT, Velagapudi Ramakrishna Siddhartha Engineering College, India. The surveys regarding air pollution shows that there has been a hasty growth due to the emission of fuels and exhaust gases from factories. The Air Quality Index (AQI) has been launched to note the contemporary status of the air quality. The intent of AQI is to aid every individual know how the regional air quality will make an impact on them. The Environmental Protection Agency assess the AQI for five major air pollutants namely Nitrogen dioxide (NO2), ground-level ozone (O3), particle pollution (PM10, PM2.5), carbon monoxide (CO), and sulphur dioxide (SO2). The intent of the project is to congregate real-time Air Quality Index from distinct monitoring stations across India, analysing the data and reporting on it. Collect the real-time data using the API key provided by Open Government Data (OGD) platform India. This is done by making use of Microsoft Business Intelligence (MSBI) and Power BI Tools to transform, analyse and visualize the data. This project can be utilized to develop various programs like Ozone today in Europe and in mobile applications which acts as an alert system that can protect people from air pollution. 07 30 2020 368 372 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3493.079220 https://www.ijrte.org/portfolio-item/B3493079220/ Department of Civil Engineering, SRM Institute of Science & Technology, Chennai, India. B Sandeep Kumar R Sivakumar Department of Civil Engineering, SRM Institute of Science & Technology, Chennai, India. Urban infrastructure and urban sprawl required the idea of preparing a proper management plan to avoid the unwanted environmental and economic impacts that come with it. The main objective of the research is to map the urban sprawl using Geospatial technology and t its impact on land use and land cover. The increase in the rate of population over the last two decades is equally responsible for the urban expansion and subsequent infrastructure development. The results of the integrated geospatial study shows that the urban expansion of Kakinada Municipal Corporation was largely caused by the increase in built-up area from 29.67% in 1995, 44.86% in 2011 to 51.34% in 2017 to 62.84% in 2019 out of Kakinada’s township area of 189552.6 ha mainly due to natural increase of the population and rural ward migration. Vegetation area was 50.68% in 1995 and has declined to 37.82% in 2011. However, the percentage of vegetation experienced a hike and covered 40.23% in 2017 and then went downhill with a land cover percentage of 34.04% of the total township by the year 2019. Over the last two decades the water-body and the dry land were largely converted into built-up areas. The decline of 49151 ha of water-body due mainly because of the urban expansion and the dry-land lost nearly 27200.79 ha of its land cover to the built-up areas. Therefore, controlling and monitoring of urban expansion using GIS and remote sensing technologies are vital solutions to assess the impact of urban expansion of land use and land cover. 07 30 2020 373 378 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3514.079220 https://www.ijrte.org/portfolio-item/b3514079220/ Department of Chemical Engineering, Universitas Sumatera Utara, Jl Almamater, Kampus USU, Medan, Indonesia. R. Hasibuan R. Sundari Department of Mechanical Engineering, Universitas Mercu Buana, Jakarta 12650, Indonesia. AS. Wicaksono Department of Chemical Engineering, Universitas Sumatera Utara, Jl Almamater, Kampus USU, Medan, Indonesia. R. Anggraini Department of Chemical Engineering, Universitas Sumatera Utara, Jl Almamater, Kampus USU, Medan 20155, Indonesia. This study investigates the drying modeling of Uncaria gambir Roxb using convective desiccant examined by statistical parameters. Three types of drying modeling are investigated, i.e. the Newton, Page and Henderson-Pabis models. The drying conditions of Uncaria gambir Roxb were set at 35oC, 45oC and 55oC and air velocity of 1.2 m/s. The results show that the Page modeling is the best fit model for this investigation based on values of R2 (coefficient of determinant), RMSE (root mean square error) and χ2 (chi-square) goodness of fit test derived from (MR) moisture ratio equation. The Page modeling shows R2 value nearest to unity and lowest values of RMSE and χ2 are obtained for all given temperatures (35oC, 45oC and 55oC) at air velocity of 1.2 m/s. The drying modeling is useful for optimization in design process encountered with product quality and cost of production. 07 30 2020 379 382 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3516.079220 https://www.ijrte.org/portfolio-item/B3516079220/ Department of Accounting, University of Calabar, Calabar, Nigeria. Associate Prof. Dr. Akabom I. Asuquo Nicholas O. Dan Ph.D. Student, Department of Accounting, University of Calabar, Calabar, Nigeria. Glory T. Effiong Ph.D. Student, Department of Accounting, University of Calabar, Calabar, Nigeria. The study was carried out on the impact of information technology on the accounting line of work. Purpose: The purpose was to determine the impact of information technology on the accounting line of works in the global system. Methodology: A survey methodology was adopted. In the course of gathering Information, questionnaires were constructed, validated, and dispensed to sampled elements of the targeted area, which had the relevant knowledge in the area of inquiry. Appropriate statistical tools were adopted to evaluate the raw facts obtained. Results/Conclusion: Results of the investigation had shown that information technology has a substantial influence on the accounting line of work and was therefore concluded that accounting line of work has changed from what it used to be before now to a line of works that developed in alliance with the trend in technical improvement and a globalized structure. Furthermore as inferred from the findings of the study, there is a great call for prompt and concerted efforts on several fronts in order to find ways of coping with the growing degree of window dressing account, the malady of accounting noise and fraud skyrocketing syndrome in the business and the non-business world due to non-adhering to tenets of information technology when carrying out an accounting line of works. Recommendation: It was consequently recommended that the accounting line of work will be greatly enhanced if information technology is allowed to penetrate and dominate accounting practices and operations. 07 30 2020 297 302 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3522.079220 https://www.ijrte.org/portfolio-item/b3522079220/ Lecturer and Administrative Vice Director, Ambo University, Institute of Technology. Naol Bakala Defersha The main objective of ambo university is to provide quality education and improve the overall performance of an students by looking at individual students’ problems cases. One way to analysis students’ cases personally is to identify the problems causes and guide the students to solve the problems. Following this, the department Academic council and Academic Commission is whole authorized people to make the decision manually so this will consume more time and energy. This research focused to learning classification models for predicting students problems cases using support vector classification techniques. Finally, performance of the model evaluated using precision, recall and F-measure evaluation parameters. 07 30 2020 500 504 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3533.079220 https://www.ijrte.org/portfolio-item/B3533079220/ ECE department, Affiliated to Osmania University, Hyderabad, India. G. Mallikharjuna Rao Typically, hackers are ready to hack the confidential documents for their vested interests. The main challenge is to construct a secure relation between the secret message and image quality. To avoid dangerous illegal attacks by the third person, a scheme is proposed to have a combination of cryptography and image steganography techniques. This scheme will enable the security, secret message and image cannot be extracted. The International Data Encryption Algorithm (IDEA) cryptographic algorithms and Discrete Cosine Transform (DCT) based steganography algorithm is chosen for the functionality. Cryptography is used to encrypt and decrypt the document. Steganography to hide document inside an image with increasing payload for the secure transmission of confidential data across the internet. In this paper we present a single application to hide the information by the sender, which is so important document and confidential in the form of files, it will be invisible to unauthorized person. The results of a suggested scheme with respect to PSNR of 90.06 dB with a payload of 52,400 bytes of information in an image. 07 30 2020 383 392 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3534.079220 https://www.ijrte.org/portfolio-item/B3534079220/