19c96fd51791d8d23b94d7d 20211023021047100 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 10 30 2021 10 12 10.35940/ijitee.10.12 https://www.ijitee.org/download/volume-10-issue-12/ Assistant Professor, Department of Electronics and Communication L. D. College of Engineering, Ahmedabad. (Gujarat), India. Kirit V. Patel Dr. Mihir V. Shah Professor, Department of Electronics and Communication L. D. College of Engineering, Ahmedabad. (Gujarat), India. Elliptic Curve Cryptography is gaining attraction in providing a high security level in data transmission with low cost, small key size and smaller hardware realization. High-speed implementation is a significant factor in ECC applications such as smart cards, network servers, wireless sensor based networks, Internet of Things and Radio Frequency Identification. These applications require low-cost and lightweight implementations. In the resource constrain application, lightweight cryptography has emerged as the desired one because of limited energy in devices and the scarce computational resources. Design options and a wide range of parameters affect the overall implementation of the ECC system. Implementation target device, coordinate system, underlying finite fields and modular arithmetic algorithms are key design parameters that impact the overall implementation outcome. A statistical study is conducted on a large collection of published work based on the design parameters. The basic question that arises is how to select the appropriate flexibility-efficiency tradeoff. The subjects of generator, versatile, reconfigurable, dedicated and general purpose scalar multipliers are addressed. A review of various algorithms to perform scalar multiplication on prime and binary fields has been done more effectively. The results of ECC implementation on different FPGA platform is compared and analyzed with the various performance parameters. Besides, a classification of the previous works in terms of flexibility, performance, scalability and cost effectiveness is presented. 10 30 2021 28 35 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F8701.10101221 https://www.ijitee.org/wp-content/uploads/papers/v10i12/F87010410621.pdf Department of Computer Science & Engineering, RV College of Engineering. Bengaluru, (Karnataka), India. Nikhil Nayak Rujula Singh R Department of Computer Science & Engineering, RV College of Engineering. Bengaluru, (Karnataka), India. In today’s day and age, a mobile phone has become a basic requirement needed for anyone to thrive. With the cellular traffic demand increasing so dramatically, it is now necessary to accurately predict the user traffic in cellular networks, to improve the performance in terms of resource allocation and utilization. Since traffic learning and prediction is a classical and appealing field, which still yields many meaningful results, there has been an increasing interest in leveraging Machine Learning tools to analyze the total traffic served in each region, to optimize the operation of the network. With the help of this project, we seek to exploit the traffic history by using it to predict the nature and occurrence of future traffic. Furthermore, we classify the traffic into application types, to increase our understanding of the nature of the traffic. By leveraging the power of machine learning and identifying its usefulness in the field of cellular networks we try to achieve three main objectives - classification of the application generating the traffic, prediction of packet arrival intensity and burst occurrence. The design of the prediction and classification system is done using Long Short Term Memory (LSTM) model. The LSTM predictor developed in this experiment would return the number of uplink packets and estimate the probability of burst occurrence in the specified future time interval. For the purpose of classification, the regression layer in our LSTM prediction model is replaced by a SoftMax classifier which is used to classify the application generating the cellular traffic into one of the four applications including surfing, video calling, voice calling, and video streaming. 10 30 2021 36 40 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L9555.10101221 https://www.ijitee.org/wp-content/uploads/papers/v10i12/L955510101221.pdf Department of Electronics Engineering, Degree in from the University of Mumbai (Maharashtra), India. Shrugal Varde Dr. M.S. Panse Ph.D, Department of Electronic Engineering, Veermata Jijabai Technological Institute, Mumbai (Maharashtra), India. Electronic mobility aid, transforms visual information to another sensory modality, has proved to be useful for visually impaired people to commute confidently and independently. With recent developments in technology, more visual information can be provided that can assist the user in the better way to avoid obstacles. The paper is focused on portable mobility aid prototype based on stereo imaging that can help user avoid collision with the obstacles. The algorithm is based on segmentation of disparity image to detect obstacles in each segment and identify probable path free of obstacles. The information about the free path is conveyed to the user with the help of two vibrotactile sensors. The prototype was tried on visually impaired users. The experiments were conducted in terms of detection of obstacles, avoidance of obstacles and walking speed of visually impaired user in closed area with different number of obstacles. We conclude that mobility aid prototype is potentially effective for visually impaired users. 10 30 2021 41 46 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J9431.10101221 https://www.ijitee.org/wp-content/uploads/papers/v10i12/J943108101021.pdf Ph.D Student from Charusat University, Changa. Hema R. Parmar Dr. Pradeep Majumdar Professor, Department of Civil Engineering, CU Shah University, Gujarat. Surface water flow and subsurface flow have traditionally been investigated separately and simulators have been developed over the years, to model each of these systems. Growing interest in conjunctive water management, and need for simulations of surface/subsurface flow and their interactions has lead to the linking of models of the respective domains. This study from Dharoi command area, using MODFLOW, showed pertaining to the second layer of the calibrated model. The first layer is a thin soil cover layer of about 3 m uniform thickness. Top layer is kept under unconfined water table condition, where as the next layer is given the scope of transforming between water table to confined state and vice versa depending upon the fluctuation of the computed water level with respect to the bottom boundary of the top layer. No recharge and discharge options other than a single boundary condition of average May water level in the extreme north-east grid has been allowed. This calibration is based upon matching the observed and computed average gradient of the water table (hydraulic gradient) and nothing to do with matching the point to point values of the observation wells as that could lead to misappropriation in respect of hydrologic condition. Over all gradient of the water table in the area of interest is computed as 0.23 m per km in comparison to an observed hydraulic gradient of 0.3 m per km. The rivers such as Sabarmati downstream of Dharoi dam and up to Bijapur, Rupen and Pushpawati are activated in the transient run. Conductance value is considered as 0.0001 m/sec for all the rivers. proximity of the second layer under unconfined state. Comparisons of water levels in selected locations. Overall match between the trends and the point values indicate that the calibrated model transient run can be considered as base case and various options can be studied with this model. Visual MODFLOW is very effective to know the present scenario of ground water flow, water level of aquifer, wells, also point values indicate that the calibrated model transient run can be considered as base case and various options can be studied with this model. Visual MODFLOW is very effective to know the present scenario of ground water flow, water level of aquifer, wells, also distribution of spatial recharge, specific yield distribution. It gives very close result to the observed value. 10 30 2021 47 57 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L9550.10101221 https://www.ijitee.org/wp-content/uploads/papers/v10i12/L955010101221.pdf