bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantitative Sørensen–Dice Indexed Damgård–Jurik Cryptosystem For Secured Data Access Control In Cloud
Authors: Calistabebe P , Akila D 
Published: December 2020

Abstract
Data Access Control has become a demanding issue in cloud storage systems. Access control is the protection method to control who can view or access the information in computing scenarios. Some techniques have been designed formost of the security strategiesprovidedtotheclients accessingtheuploadeddata. AQuantitative Sørensen–Dice Indexing Damgård–Jurik Cryptosystem based Data Access Control (QSDIDJC-DAC) method is introduced to avoid the illegitimate data access in the cloud server. Initially, the QSDIDJC-DAC method comprises five processes, namely registration, key generation, authentication, encryption and decryption for data access. At first, the clientsregister their information to the cloud server. After that, the cloud server generates the key pairs (i.e., public key, private key). Then the client encrypts the data with the general public key and sends it to the cloud server for storing the data. During the data access, the user transmits the request to the cloud server. Upon receiving the request, the authentication server verifies the cloud user is a legitimate user using the Quantitative Sørensen–Dice similarity coefficient with higher authentication accuracy. The Similarity Coefficient matches the requested user with user information stored in the cloud server on the time of registration. Based on the similarity value, the legitimate and illegitimate users are correctly identified with minimum time consumption. After performing the verification process, the cloud server allows legitimate users to access the data. Subsequently, the client decrypts the data with the help of their private key. This helps to enhance the data access control in the cloud server with a better security level. Experimental assessment is carried out on factors such as authentication accuracy, computation time and data confidentiality rate with recognize to some of the cloud users and thedata.
E-Learning Technology Effectiveness in Teaching and Learning: Analyzing the Reliability and Validity of Instruments
Authors: Hashim Nik Alif Amri Nik , Aziz Roslizawati Che , FahmieRamlee Shah Iskandar , Zainuddin Siti Afiqah , Zain Eni Noreni Mohamed , Awang Zaimatul , Mohamad Siti Rohana , MuhamedYusoff Abdullah 
Published: December 2020

Abstract
Over the years, the introduction of e-learning technology as been familiar among academicians, students, and even non-academicians in higher education institutions. E-learning is one of the learning tools in the education sector that greatly influences education, which emerged as a newmodern education paradigm and has successfully evolved around the world. However, limited attention has been paid to research on e-learning relative to the factors influencing the effectiveness of e-learning tools in the teaching and learning process. Therefore, using a quantitative approach, this study aims to review the reliability and validity of the applied instrumentsin assessing the factors influencing the effectiveness of e-learning tools in the teaching and learning ofentrepreneurship students’courses through a pilot study. Data involving 150samples from the questionnaires were analyzed using IBM SPSS version 24, while evaluations from experts were employed to check for content and face validity and reliability as well asthe normality of data. Based on theresults, the normality of the data as well as the reliability of the measuring instruments in this study are proven. As such, the measuring instrumentsproposed in this study warrant further research.
Analyzing Various Machine Learning Algorithms for the Classification of Malwares
Authors: Pavithra J , Femilda Josephin J S 
Published: December 2020

Abstract
Malware, brief for Malicious Software, is increasing continuously in amounts and sophistication as our digital world continues to develop. Lately, tools for forming malware have been increasing rapidly on the internet, making it more accessible for people without expertise to create malware. Towards the end, the number of malware is growing fast. To deal with the problem, it is necessary to classify malware instantly and accurately. These malware programs play a role such as encrypting or destroying sensible data, stealing, changing or capturing main computing functions, controlling users and perform computer activity without their consent. In this paper, six different algorithms for classification like Linear Regression, Random Forest, Adaboost, Gaussian, Gradient Boosting, Decision Tree has been used for classifying a file as malicious or benign. Based on the results, the Random forest attained 99.43% accuracy and infers that it is suitable for malware prediction.
Data based Analysis, Modeling and Forecasting of Novel Coronavirus in infected regions using Extreme Learning Machine algorithm
Authors: Saranya A. , Aruna S. , Maheswari M. 
Published: December 2020

Abstract
In current development in science and technology, Machine learning algorithms play an essential role for prediction, classification, data analysis and data visualization. With this efficient algorithm, we can solve many real-world problems in all domains like education, healthcare, banking, geographical analysis, etc., in the current scenario; much research work is going on with the new virus's infection called the corona. This Corona virus is a comprehensive unit of virus this cause illness in humans or animals, now in East Asian countries, this virus affected more people. In India, the first case was found in January month, originated from China. The entire world is focusing on the disease, and day by day, the infection and death rate is increasing. In this, we intended to focus on the spread of this deadly disease and to demonstrate which countries are the most affected by doing statistical analysis. On December 2019, As of 10 February 2020, China reported overall of 40,235 cases 909 deaths, evoking local and foreign terror. Here we provide estimates of the major epidemiological parameters, Based on the epidemiological data available to the public for Hubei, China, 11 January to 10 February 2020. In particular, we give an estimate Fatality and case recovery rates, along with their 90 per cent confidence levels as the epidemic progresses. For this work implementation, Extreme Learning Machine algorithm used. ELM is a feed-forward network and its learning rate also fast when compare to normal neural network. No need to provide any weights and bias values. This algorithm will give a promising result with the best accuracy.
Design and Development of Sensor Based Multilevel Parking System
Authors: Vigneshwaran S , Murali G , Shobana Swarna Ratna P R , Balakumaran G 
Published: December 2020

Abstract
The purpose of this paper is to create a sensor based multilevel parking system which will assist the vehicle to directly proceed to the desired place or to the nearest parking location. As the vehicle population is increasing in our country the parking facilities for the vehicles have become troublesome. Due to this the parking arrangements and layout in huge buildings need to be improved. Thus, this system plays an important role in the smooth functioning of parking of vehicles by eliminating human errors which lead to accidents and ensuring the vehicle to reach its destination space without wastage of time and congestions. The system consists of a controller Arduino Mega 2560 which will receive the vacancy data from the IR sensor of the various levels once a human input is been given to the system. The data of vacancies will be displayed on the LCD and the system will check for nearest vacant area based on the algorithm to the destination and guide them to the available space to park. The system will also determine the parking time based on the entry and exit of the vehicle and the person will be charged accordingly.
Foot Plantar Pressure Measurement System for Static and Dynamic Condition
Authors: Vigneshwaran S , Murali G 
Published: December 2020

Abstract
The purpose of this paper is to measure human foot pressure at various important points and to provide the proper diagnosis for treating the post-operative orthopedic patients. Measurement of the human foot pressure distribution can provide vital information and is of great value for medical diagnostics. The distribution of human plantar pressure data depends on the conditions of the foot such as foot structure, function, the posture control of the entire body and gait. This device data will contribute greatly to the diagnosis, estimation of surgery and a better understanding of the pathogenesis of diseased foot with abnormal pressure distribution. The device will measure the foot pressure with the help of FSR, force sensitive resistor sensors which are placed on the upside of the sole of shoe. These sensors are connected to the Arduino Mega 2560. A custom-made software is created using LabVIEW. The patient’s details can be fed in and are saved in this software and when executed, the pressure data values collected is converted into digital pattern and a pedobarography is generated. This pedobarography image is displayed and saved in a word document and thus, enables the doctors to examine the foot pressure based on the deduced results.
The Sensitivity Analysis of Service and Waiting Costs of A Multi Server Queuing Model
Authors: Vijay Prasad S , Donthi Ranadheer , Challa Mahesh Kumar 
Published: December 2020

Abstract
Queuing theory deals with waiting lines and queues are usually appear at the service providers. Some results regarding the probable number of customers, the probable waiting time in the system and in the queue, service and waiting costs can be obtained by applying multi server queuing model. This research article explores the sensitivity analysis between expected waiting cost of consumer and expected service cost of server, and total expected cost of the multi-server queuing model.
The Joule Heating Effect on MHD Natural Convective Fluid Flow In A Permeable Medium Over A Semi-Infinite Inclined Vertical Plate In The Presence Of The Chemical Reaction
Authors: Shankar Goud B , Bindu P , Srilatha Pudhari , Hari Krishna Y 
Published: December 2020

Abstract
In the current examination, the impact of the radiation on MHD convective fluid flow stream in a permeable medium over a semi-infinite inclined plate with the impact of the Joule heating. The governing Equation changed into nonlinear ODE's with the assistance of the similarity transformation. By utilizing the Runge-Kutta fourth order with shooting technique. The effect of the fluid parameters on velocity and temperature along with concentration profilesexamined through graphs.
Arduino Based Voice Controlled Robot Vehicle
Authors: Saravanan M , Selvababu B , Jayan Anandhu , Anand Angith , Raj Aswin 
Published: December 2020

Abstract
This project was developed in a way that the robot is controlled by voice commands. An android application with a microcontroller is used for required tasks. The connection between the android app and the vehicle is facilitated with Bluetooth technology. The robot is controlled by buttons on the application or by spoken commands of the user. The movement of the robot is facilitated by the two dc servo motors connected with microcontroller at the receiver side. The commands from the application is converted in to digital signals by the Bluetooth RF transmitter for an appropriate range (about 100 meters) to the robot. At the receiver end the data gets decoded by the receiver and is fed to the microcontroller which drives the DC motors for the necessary work. The aim of Voice Controlled Robotic Vehicle is to perform the required task by listening to the commands of the user. A prior preparatory session is needed for the smooth operation the robot by the user. For the same a code is used for giving instruction to the controller.
Design and Development of Multi Element Wing for Automobile Application
Authors: Palanivendhan M , Vengatesan S , Dutta Somyadeep , Jain Shubham 
Published: December 2020

Abstract
Vehicle aerodynamics is a broad encompassing field that describes the forces acting on an object when moving through a fluid. When stationary, the exterior surfaces of an automobile experience one atmospheric pressure; the upper and lower surface as well as the front and rear surfaces all have the same pressures exerted and ultimately achieve equilibrium with the summation of forces being equal to zero. As the vehicle starts to move through the fluid, the pressures exerted on the exterior surfaces change proportional to the square of velocity. These pressure changes create forces acting on the surface of the vehicle that can drastically hinder the performance of the vehicle. Aerodynamicists study this natural phenomenon to try and minimize forces that inhibit motion and, in some cases, develop these forces and use them to improve performance and safety. Vehicle aerodynamicists are primarily concerned with two dominant forces that interact with a vehicle; lift and drag. The management of these forces is crucial to the performance of any vehicle however the philosophy of vehicle aerodynamics differ significantly depending on the application. In this work introducing multi element in the rear of the vehicle to maintain the lift force and computational fluid dynamics analysis carry out to measure the performance of the multielement wing.
Transient thermal analysis of passive air-cooled battery-pack for various casing material
Authors: Naresh G , Praveen Kumar T , Aadhithyan B , Utkarsh S , Nithin J V 
Published: December 2020

Abstract
Electricity has become a desirable source of propulsion for automobiles for not leaving behind any pollutants during their running operation. The source of electricity comes from batteries connected together to deliver the rated amount of current in order to propel the vehicle and its auxiliary systems. Internal Combustion vehicles have improved significantly since their inception in the 1800s in terms of mechanical and thermal efficiency. However, only a fraction of the produced mechanical energy is utilized as the driving torque of the vehicle with the rest being lost as a result of mechanical and heat losses. Then comes the problem of harmful pollutants resulting due to the operation of the vehicles like unburnt Hydro Carbons, Carbon Monoxide and Nitrogen Oxides. Although the levels of these harmful exhaust gases have come down with the passing of emission laws around the world over the years, the zero-emission operation of all-electric vehicles is seen as an attractive option for transportation purposes. Electric vehicles negate the issue of mechanical losses by having the electrical power delivered directly to the wheels (through vehicles that use an in-wheel motor system which directly deliver the power to the wheel hub) or through a differential like in a conventional rear-wheel drive vehicle. The battery pack stores and delivers electric power to the wheels and the auxiliary systems. Like an Internal-Combustion engine, a battery pack delivers peak-discharge current (analogous to peak torque in an IC engine at a certain temperature) at a particular operating temperature of the battery pack. Therefore, it is vital to maintain the operating temperature of the battery pack to sustain the performance and the longevity of the battery pack. Prolonged exposure to high temperatures can significantly impact the power delivery and the life-cycle of the battery pack. The battery pack can be cooled by air, liquid or thermo-electric means. This research will be centered around air-cooling as it does not require any special components and it is economical. If the casing of the battery pack has larger surface area for cooling and is made up of materials which have good thermal conductivity, the performance and the longevity of the vehicle can be improved. Our objective is to design a casing and perform thermal and CFD analysis to visualize the thermal performance of the casing while rest (charging/discharging phase) and during motion.
Improving the safety of two-wheeler pillion rider by modified footrest joint
Authors: Palanivendhan M , Subramanian Vengatesan , Mishra Ritvik , Harshavardhan B S 
Published: December 2020

Abstract
Two-wheeler with higher cc engine (180 or above) or even lower cc bikes which has aerodynamic elevation for pillion section has many problems regarding safety as well vehicle’s balance at high speed with pillion riders. Sudden braking, sudden acceleration or jumping of vehicle due to road variation can be dangerous for the pillion rider. Two-wheeler especially motorbikes and scooters have extra safety hook design extension for pillion rider to hold for safety. Sudden braking causes the bike to decelerate. the upper and the lower body of the rider riding the bike will also decelerate. For the pillion rider his/her upper body will not experience the same forces as experienced by the rider. Pillion rider lower body will decelerate with the bike as its contact with the foot of the pillion rider at footrest. To properly balance his/her upper body, the pillion rider has to hold the hook extension provided, or by holding a bike structure or by holding the bike rider. Similarly, in case of acceleration, pillion rider’s upper body tends to lean backward. To balance the force again the pillion rider has to hold the hook extension or bike rider or any other bike structure for support. In this work decided to rectify this by introducing a retrofitted joint to ensure extra safety with proper seating angle for pillion rider either during acceleration or deceleration. The modification will help to reduce the drag and lift force experienced by the pillion rider. To do this have considered "TVS Apache rtr 180" beast model to carry out our simulation to find out suitable characteristics for retrofitted joint. To carry out part designing using SOLIDWORKS software. To find out suitable characteristics for retrofitted point by simulation using MATLAB software.
Optimization on the Dry Sliding Wear Behaviour of Mercerized Coconut Inflorescence Fibril Fortified Unsaturated Polyester Composites
Authors: Karthik S , Arunachalam VP , Prem Sundhar M , Raghul R , Sukumar C 
Published: December 2020

Abstract
The contemporary work emphasizes the importance of using coconut inflorescence fibril as a viable alternate to manmade fibril in polymer matrix composites for application components undergoing wear. The extracted inflorescence fibril from coconut tree is exposed to mercerization treatment with 5% wt/vol of aqueous solution. The composite samples were fabricated by varying the fibril content (10, 20, 30 and 40 wt %) of fibril/polyester matrix. The composite specimens were subjected to wear test employing a pin on disc tribometric setup under dry sliding state. Design of experiments inspired taguchi analysis is employed for wear analysis. The experiments were performed for 16 trial runs for the load (5, 10, 15, 20 N), sliding distance of (250, 500, 750 and 100 m) and sliding velocity of (6.3, 12.5, 19 and 25.3 m/s) as the operating parameters. The parametric analysis revealed fibril content is the more inducing parameter which have a notable impact on the wear behaviour of the composites ensued by sliding distance. Artificial Neural Networks (ANN) is adopted to forecast the dry sliding wear behaviour of the composites over a broad scope of test conditions. The extensive experimentation leads to the conclusion that fortification of inflorescence fibril to the polyester resin resulted in improvement of wear resistance up to optimum fibril content and then decrease in wear resistance was observed when the fibril content increases. Finally SEM analysis was performed on the wornout surfaces to study the governing mechanism such as ploughing, wedge formation and fibril pullouts.
Numerical investigation on flat plate collector with struts for drying of fruits and vegetables
Authors: Manoram R B , Nagulan T , Kavinesh B , Kishore Kannan JK , Kowshik B 
Published: December 2020

Abstract
The demand for quality food product is growing all around globe due to population explosion. Drying is one of the ancient technique to preserve the fruits and vegetables. Indirect solar drying system with flat plate collector is used in this experiment for drying operation. V-Shaped struts on top of the absorber plate to augment the thermal performance of the dryer. CFD study on the influence of V-shaped struts and its relative roughness pitch parameter on the thermal efficiency, Nusselt number and friction factor was performed. Providing V-shaped struts improved the thermal efficiency of the collector also increased the friction factor. Thermal efficiency improved by 47% while the Nusselt number increased by 2.1 times for plate with V-shaped strut of relative roughness pitch 10 compared to the plain tube.
Parametric optimization for better thermal performance on Heat Pipe using Taguchi method
Authors: Lakshmi Reddy P. , Srinivasa Reddy B. , Govindarajulu K. 
Published: December 2020

Abstract
Heat pipes are hollow cylindrical form devices filled with a small amount of operational fluid and are used to transfer heat, which alters its phase. In contrast to standard heat exchange systems, the heat transfer rate in heat pipes is higher. Different heat pipes are being built depending on the heat transfer applications. The aim of the current work is to optimize the process parameters of heat pipe using Taguchi technique. The control factors like heat input (Q), inclination angle (θ), fill ratio (ϕ) and mass flow rate (M) were considered to evaluate the thermal performance in terms of thermal resistance and thermal conductivity. Using a L9 orthogonal array, a total of nine experimental runs were performed and the optimal combination of control parameter levels for the responses was calculated. The Taguchi technique is utilized by using MiniTab-17 software to find the level of importance and optimal independent parameter for the cylindrical mesh wick heat pipe using DI-water as the working fluid.
Prediction of Aerodynamic Performance of Axial Fan with Leading Edge Serration using Computation Fluid Dynamics
Authors: Bharanitharan K J , Senthilkumar S 
Published: December 2020

Abstract
Axial fans are found to be one of the major sources of the noise in modern devices such as PCs, HVAC systems, turbo engines and etc. Lot of researches were going on for decades to reduce this unwanted noise. Researchers have found that application of leading-edge serrations will lead to reduction of noise from the bio-inspired study on the wings of barn-owl. This project involves in the study of effect of Aerodynamic performance of axial fan in terms of pressure drop and aerodynamic efficiency using commercial CFD tool ANSYS FLUENT. Analysis have been carried out for a base model without serration and same model with serrations for various flow rates. The results are validated with the experimental results obtained by Krömer et al [1] and found to be in reasonably good agreement.