bluuebunny/crossref_metadata_2025 huggingface dataset:
Glass Fiber reinforced Compressed Stabilized Earth Block - A green alternative to Cement Concrete Blocks
Authors:   Department of Civil Engineering, Mar Ephraem College of Engineering and Technology, Elavuvillai, India., Winsley J Bright Brabin , M Muthukannan ,   Department of Civil Engineering, Kalasalingam Academy of Research and Education, Virudhunagar, India.
Published: January 2020

Construction activity utilizes lot of resources and energy to manufacture and install building components. Most of the construction materials are cement based or poly ethylene products, which needs lot of embodied energy to produce and create problems related to environment. Reusing these products after its service life is also very difficult. Manufacturing of cement liberates almost equal amount of carbon di oxide by weight, all contribute towards global warming and depletion of natural resources. Use of mud and naturally available materials in buildings is evident in olden buildings found to be a sustainable alternative solution. Most of the historic buildings and monuments existing today were made with earth adobe and lime. The use of modern technology made the earth compressed at higher pressure to form as hard material, use of stabilizers like cement and lime made them stronger, durable and less water absorbent. Adding glass fibers in the mixture will improve the strength and crack resistance of the block. The objective of this study is to add glass fibers in the mixture to increase the strength and crack resistance of CSEB.
Energy Efficient Light Weight Security Algorithm for Low Power IOT Devices
Authors:   School of Electronics Engineering, VIT Chennai Campus, Chennai, India., Nagajayanthi B.
Published: January 2020

Internet of Things (IoT) is the state of art which connects, communicates, intelligently resolves and processes data between physical devices and smart phone or to a centralized server. Billions of users are centrally coordinated via the internet. The number of ubiquitous IoT devices will surpass the number of humans. For secured data transfer, IoT requires strenuous focus on security. Inspite of the secured IoT layered approach integrated in its architecture, yet they are susceptible to thwarting attacks. With proliferating applications and innovations, there is a stringent need to preserve user privacy and anonymize interactions using a lightweight cryptographic algorithm. Existing cryptographic algorithms have constraints on power, limited battery, real time execution, latency, code length and memory. In this research, initially comparison of the existing algorithms is made. Subsequently, Augmented Security and Optimized memory space is achieved for the data channelized via IoT by using the combination of the Light weight masked AES (Advanced Encryption Standard) andMD5 (Message Digest) hash algorithm. This chaining technique is implemented using VHDL Coding, Xilinx ISE and ModelSim 6.5 software tool. In the proposed algorithm, area, power and timing factors are reduced using optimization techniques, which drastically reduces the power consumed, and chip area. Chip area is calculated in terms of gate equivalents and power consumption is reduced through clock gating and operand isolation techniques.
Optimized Models for the Concrete using Flyash and Steel Scrap Waste By-Products
Authors:   Civil department, Kalasalingam Academy of Research and Education, Krishnankoil, India., Meyyappan PL. , Sutharsan R. ,   Civil department, Kalasalingam Academy of Research and Education, Krishnankoil, India.
Published: January 2020

The major issue in the construction industry is to address the development of the suitable building material in a non depleting way to the environmental society. To effectively utilize the industry by-products in the construction sector will bring the cost effective solution and non polluting manner. Hence in this experimental investigation, M30 grade concrete is used in partial replacement of flyash by 0%, 10%, 20% and 30% for evaluating strength parameters. Once the optimum flyash percentage is arrived, then the steel scraps are incorporated in the percentage of 0%, 0.5%, 1%, 1.5% and 2% to enhance the strength properties further. As a result, it is profound that the optimum percentage of flyash replaced concrete is 20 % and addition of 1.5 % steel scraps is appropriate in enhancing the strength parameters. Modeling is adopted in arriving relationship for compressive strength with tensile and flexural strength for flyash replacements and addition of steel scraps. All the model equations are well correlated with the experimental results.
Influence of Materials in Life Cycle Energy Assessment of a Six Storey Building
Authors:   Civil department, Kalasalingam Academy of Research and Education, Krishnankoil, India., Meyyappan PL. , Sivapragasam C. ,   Civil department, Kalasalingam Academy of Research and Education, Krishnankoil, India.
Published: January 2020

Life Cycle Energy Assessment (LCEA) is one of the evaluating tools for assessing environmental impact of various types of materials used in the buildings components. The LCEA is based on reduction of total amount of energy consumed during the life cycle of building. Operational phase has been taken and the energy consumed for the phase has been evaluated in this study for three cases with respect to change in materials. This mainly focuses on the change in the energy consumption due to the usage of RCC and Wood materials in various building component such as roofs and infill walls etc. under Indian conditions. A six storey building with a plan dimension of 48m x 24m is considered. The ‘eQuest’ is the quick energy simulation tool which is widely used to calculate the whole building’s energy performance. This tool is used to estimate the energy consumption in month wise on various aspects.
Design and Development of IoT Integrated PLC Based Material Handling System
Authors:   Senior Associate Professor, Design and Automation Research group, School of Mechanical and Building Sciences, Vellore Institute of Technology, Chennai, Tamil Nadu, India., Selvakumar Dr. A. Arockia
Published: January 2020

The industry faces with constant demand of tremendous Production criteria to be met with human workers this production rate is highly likely to fall behind as the time progresses, to solve the problem to obtain continuous production without any interruption, this paper helps understand how a manipulator will work for a very basic operations and how will the industry executive will be able to manage the shop floor. This project aims to show how a PLC is used in a automation and how a PLC based system is integrated with a IoT platform
Droop Control Based Grid-Connected Solar Photovoltaic Inverters for Distributed Generation
Authors:   SELECT, Vellore Institute of Technology, India., Edward J. Belwin , W. J. Praiselin ,   SELECT, Vellore Institute of Technology, India.
Published: January 2020

In day to day the demand of electrical energy has been increasing in worldwide, as well the share of solar photovoltaic power generation has increased extremely because of population growth, urbanization, etc. Although the power generated from solar photovoltaic is erratically, and it makes the stability and reliability problems in a utility grid. This paper projects a P/Q droop control strategy for a grid-tied PWM inverter. This paper introduces an entire model of grid-connected solar photovoltaic array; inverter with droop control, and loads are developed for this operation. The locus points of the both power sharing of the DG system is developed by the proposed control operation. PI controllers were used in this droop control was espoused to adjust the constraints of PI controller. The results of the proposed droop control inject positive and reactive power into a variation of loads and improving the quality of power as compared to the conventional PID controllers.
Predicting the Land Value using Regression Techniques and Artificial Neural Network
Authors:   Civil department, Kalasalingam Academy of Research and Education, Krishnankoil, India, P Velumani , N Nampoothiri ,   Civil department, Kalasalingam Academy of Research and Education, Krishnankoil, India, P Kavithra ,   Civil department, Kalasalingam Academy of Research and Education, Krishnankoil, India.
Published: January 2020

Land value can be an important factor which influences the cost of construction on working in the project. The land has socio-economic and environmental values and the confronted problems on land involves the increasing costs for developing the land such as built up, agricultural, residential, commercial and industrial areas. Hence this paper concentrates on prediction of land value by considering some important factors that affects it. The study area has been selected under Tirupur district, being a developing one in Tamil Nadu. The eleven areas in four different taluks under Tirupur district were chosen for research work. The average values of monthly variation are taken for the chosen factor for the years from 2001 to 2017. Using regression analysis and artificial neural network, the prediction has been done for the future land value. The performance of both the model executed good and fit for forecasting results. Though both the model showed better results, Artificial Neural Network (ANN) showed accuracy than regression method.
Prediction of Construction Project Duration and Cost using Earned Value Management
Authors:   Civil department, Kalasalingam Academy of Research and Education, Krishnankoil, India, P Velumani , N Nampoothiri ,   Civil department, Kalasalingam Academy of Research and Education, Krishnankoil, India, Aparnadevi  ,   Civil department, Kalasalingam Academy of Research and Education, Krishnankoil
Published: January 2020

Forecasting construction project duration for future with accurate efficiency by considering all the delay factors is a big deal. Various examinations have been done to evaluate the reasons for duration delays in a construction site. Most common similarity between many factors are flawed design, inadequate supervision in workplace, shortage of supplies, absence of teamwork and local climatic conditions, causes a myriad of issues. Here, for forecasting, we chose the construction of ROB project at Kurnool, Andhra Pradesh. Though many techniques have been implemented to solve out this problem, predicting completion of an ongoing project is a big deal. Various tools have been used such as earned value management, exponential smoothing technique. After applying these techniques, a comparison with a minimal percentage of error is made and the best tool for prediction is selected. This investigation prescribes Smoothing techniques, the results become better when compared with different procedures.
Design and Control of Dual-Arm Cooperative Manipulator using Speech Commands
Authors:   Division of Mechatronics, Department of Production Technology, Madras Institute of Technology, Anna University, Chennai-44, India., Saravanan N. , Sivaramakrishnan Dr. R. ,   Department of Production Technology, Madras Institute of Technology, Anna University, Chennai-44, India.
Published: January 2020

Cooperative manipulators are among the subject of interest in the scientific community for the last few years. Here an overview of the design and control of such cooperative manipulators using Speech Commands in English, Hindi, and Tamil is discussed. Here we choose two identical Robot arms from lynxmotion, and both manipulators move in conjunction with one another to achieve more payload while grasping or handling the object by the end effector. The simultaneous control of identical robot manipulators could be performed by pronouncing simple speech commands by the end user using a smartphone, which then is converted into text format using a speech recognition engine and this text fed to servo controller helps in actuating the joints of identical robot arms. Cooperative manipulators are used for handling radioactive elements and also in the field of medicine as rehabilitation aid and also in surgeries. An Android app specifically built for this purpose communicates through Bluetooth technology makes the interface for end-user simple to control both identical robot arms simultaneously.
Performance Analysis of Modified High Voltage Gain Boost Converter for PV-fed LED Lighting Applications
Authors:   School of Electrical Engineering, Vellore Institute of Technology, Vellore, India., Padmavathi Pydikalva , Natarajan Sudhakar ,   School of Electrical Engineering, Vellore Institute of Technology, Vellore, India.
Published: January 2020

Nowadays, the development of PV (Photo Voltaic)-fed LED (Light Emitting Diode) lighting technology is requires high gain ratios with efficient performance of the converter. The presented converter topology is non-isolated possess high gain voltage with low stress voltage. The design of the modified high voltage gain boost configuration is projected with continuous current at input, which is flexible to control. The conduction, switching loss at the switch, reverse recovery problem and electromagnetic interference are mitigated due to low duty cycle. But to explore the differentiation of their characteristics, advantages and several reasonable evaluations are carried out. The operating principle, theoretical analysis and experimental results of modified high gain step-up converter are provided for PV-fed LED lighting applications to verify the efficient performance in all aspects.
Effect of Self-field and Loosening of Stacked Superconducting Tapes on Critical Current of a Single Pancake Coil
Authors:   Department of Mechanical Engineering, Madanapalle Institute of Technology and Science, Madanapalle, India., Agrawal Ashish , Kumar Abhinav ,   School of Mechanical Engineering, Lovely Professional University, Phagwara, India.
Published: January 2020

Research on superconducting systems is getting pace due to the increasing demand of efficient machines to fulfill the need of the society. Applications like motors, transformers and magnetic energy storage systems involve the pancake coils tightly bounded with the superconducting tapes. Moreover, all such devices are sensitive to the number of turns and operating current. Critical current of the superconducting tape is most important parameter while designing such machines as if operating current exceeds this value it will turn to a normal conductor. Critical current of the tape is further depending upon the operating temperature, external and self-field. In this work, effect of both self-field and degree of tightness or looseness on the critical current of the tape has been studied. The results showed that the critical current of the tape is significantly affected by both self-field and the inter-distance among the adjacent tapes.
Genetic Algorithm for Effective Fall Detection with Wrist Wearable Device
Authors:   School of Electronics Engineering, VIT, Chennai, India., Unnikrishnan Abhilash , Ponraj Abraham Sudharson ,   School of Electronics Engineering, VIT, Chennai, India.
Published: January 2020

Falls have always been a major cause of injury related deaths among the old aged population in our country. It causes mental trauma and severe fractures to the bones and spine which impacts their quality of life. Therefore a proper fall prediction and alert system along with a timely rapid response could enable us to tackle such serious fall events and decrease the fatality. Various sensors and embedded controllers are used in conjunction with various machine learning classifiers to help us predict and optimize the falls effectively. This work presents a wrist wearable device using MPU-6050 sensor and raspberry-pi controller with help of machine learn algorithm which help us to predict the falls. Five different supervised learning algorithms and one unsupervised algorithm was implemented and evaluated on the basis of their accuracy, sensitivity and specificity. Out of all these classifiers, the decision tree with an accuracy of 85% was implemented in the system which classified the fall from the real time non-fall data sets. Further the performance of system was increased using genetic algorithm which gave better classification results unlike the normal decision tree classifier. Once the falls are predicted we can give a real-time response which can be an added feature to this system.
Application of TPM to Enhance Overall Equipment Effectiveness in Yarn Manufacturing
Authors:   Department of Mechanical Engineering, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India, A P Arun , Krishnamoorthi K. ,   Department of Mechanical Engineering, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India, S Karthikeyan ,   Department of Automobile Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Virudhunagar, Tamilnadu, India, kumaran S. Thirumala ,   Department of Automobile Engineering, kalasalingam Academy of Research and Education, Krishnankoil, virudhunagar, Tamilnadu, India
Published: January 2020

In an emergent and highly populated country like India, the Cotton Textile Industry is exceptionally important, to meet the demand for clothes and exports to other countries for the improvement of GDP. The Cotton Textile Industry accounts nearly 30% of the total value of exports and employs more than 55 million labors. In order to withstand the global competition, it is necessary to improve the productivity. Productivity can be ensured by availability of machines without any break downs. In the case, higher down time and break down due to lack of maintenance policies in the Carding process is observed in the Textile Industry where the work is carried out. Total Productive Maintenance is a tool which has been used here to improve the maintenance activities and to reduce the downtime. The main goal of the Total Productive Maintenance (TPM) is to improve the Overall Equipment Effectiveness (OEE). Prior to the implementation of TPM the company’s present status has been checked. By using the Root cause analysis (cause and effect diagram) various major causes for low OEE has been identified, analyzed and solutions to overcome those drawbacks have been discussed. Solutions are implemented and OEE has been calculated, improvements are recorded and discussed.
Density of Kerosene Aluminium Nanofluid used for Regenerative Cooling Applications of Thrust Chambers
Authors:   School of Mechanical Engineering, Lovely Professional University, Phagwara, India., Kumar Abhinav , Chamoli Anil ,   Department of Aeropace Engineering, Lovely Professional University, Phagwara, India., Khan Shahid ,   Department of Aerospace Engineering, Lovely Professional University, Phagwara, India., Anwar Arfaj Ahamed ,   MRB Engineer, Department of Aerospace Systems, United Technologies Corporation, Ontario, Canada., Jeyan J. V. Muruga Lal ,   Department of Aerospace Engineering, Lovely Professional University, Phagwara, India.
Published: January 2020

Efficient cooling of thrust chamber is always remaining the key area of research due to the increase in the interest of space exploration programmes. Agencies like NASA, ISRO, SpeceX, BlueOrigin are planning to start commercial flights into the space for common people. To achieve this accuracy and safety both are required and efficient cooling of the thrust chambers is one of them as it has to handle large heat loads twice, first at the time of take-off and secondly, when the vehicle has to land on the ground. ISRO has planned to use kerosene with aluminium nanoparticles for the cooling purposes of the thrust chambers. To achieve higher accuracies, the property variations as a function of temperature and pressure are required so that point to point variation can be visualized comparatively easily. In the present work, density of kerosene and its nanofluid has been studied and in order to use this property variation directly into the simulation software, curve fitting has been done for density of the nanofluid as a function of temperature.
Implementation of a Secured Authentication System using a Policy Generator with Email Notifications
Authors:   Mtech Integrated Software Engineering, Vellore Institute Of Technology, Vellore, India., Mallela Nikhil Chakravarthy , Chitturi Arun krishna ,   Mtech Integrated Software Engineering, Vellore Institute of Technology, Vellore, India, Purushotham Swarnalatha ,   Computer Science, Vellore Institute Of Technology, Vellore, India.
Published: January 2020

For securing the login, passwords of users from intruders and hackers, the website owners and administrators are providing certain guidelines to the users to create secure and strong passwords using a mechanism called Password Checkers. These guidelines which are provided helps the users to create strong passwords, these guidelines are also becoming the raw input for the hackers as they clearly show based on which policy the password was generated which increases the risk for brute force attacking with more ease. There by increasing the success rate probability for the brute force attackers. To overcome and to decrease the success probability for brute force attacking the Dynamic Password Policy Generator is being devised.The profiles of users are built and maintained by the system automatically bases on the interaction with the monitored database in training phase. This DBSAFE system will help both the administrator as well as the users to feel secured in terms with their data security. Also whenever, an unsuccessful attempts leaving a notification through an email will always add a extra layer of security to the system. When the system’s critical files were all under watch and someone try to access those, concerned people will be intimated to verify the system security keeping the system and database safe and healthy.
Numerical Model to Calculate Magnetization AC Losses for Superconducting Strip used for Current Transport Applications in Electric Aircrafts
Authors:   Department of Mechanical Engineering, Madanapalle Institute of Technology and Science, Madanapalle, India., Agrawal Ashish , Kumar Abhinav ,   School of Mechanical Engineering, Lovely Professional University, Phagwara, India.
Published: January 2020

High Temperature Superconducting (HTS) tapes are being proposed in the current transportation applications in electric aircrafts due to their capacities to carry large currents with low losses and higher efficiencies. Many systems are involved in the aircraft power distribution units and each component has its own magnetic field which may affect the working of surrounding systems. It has been found from many studies that perpendicular field has significant effect on the critical current of the HTS tape. In the present study, effort has been made to develop a numerical code through which magnetization AC losses due to external magnetic field are evaluated for YBCO superconductor. Calculated values are compared with Halse-Brandt model and it has been found that with the increase in the index value ‘n’, the results are approaching the Halse-Brandt model.
Analysis of Shark Skin Riblet Surfaces for Fluid Drag Reduction in Turbulent Flow Regime
Authors:   Assistant Professor department of Aeronautical, Nainar A. Sabik , Karthik S. ,   Assistant Professor, Department of Aeronautical Engineering, Excel engineering college , Namakkal-637303., India
Published: January 2020

The integument of fast swimming shark exhibits riblet inspired micro- structured surfaces oriented in the path of flow that will help to make lesser the wall drag in the tempestuous-flow system (turbulent flow). Design have been made for study and utilization, that has been recreate and refine as same as of the shark-skin riblets, presuming an extreme drag depletion of nearly 10% (percent). Mechanism of fluid drag in tempestuous flow and riblet drag depletion theories from experiments and simulations are examined. An examination of riblet intrepratation are discussed and the stellar riblet sizes are defined. An assessment of studies experimenting with riblets-topped shark scale replicas is also discussed. A method for preferring stellar riblet dimensions based on fluid-flow attributes is briefed and current manufacturing approaches are summarized. Due to the existence of little amounts of mucus/booger membranes on the integument of the shark, it is presumed that the constrained application of aqua phobic materials will recast the flow field around the riblets in some way favorable to the goals of augmented drag depletion
Used Cars Price Prediction using Supervised Learning Techniques
Authors:   School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, India., Venkatasubbu Pattabiraman , Ganesh Mukkesh ,   School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, India.
Published: January 2020

The production of cars has been steadily increasing in the past decade, with over 70 million passenger cars being produced in the year 2016. This has given rise to the used car market, which on its own has become a booming industry. The recent advent of online portals has facilitated the need for both the customer and the seller to be better informed about the trends and patterns that determine the value of a used car in the market. Using Machine Learning Algorithms such as Lasso Regression, Multiple Regression and Regression trees, we will try to develop a statistical model which will be able to predict the price of a used car, based on previous consumer data and a given set of features. We will also be comparing the prediction accuracy of these models to determine the optimal one.
Soft Computing Methods for Fault Detection in Power Transmission Lines
Authors:   Electronics and Communication Engineering, Vellore Institute of Technology, Chennai, India, Rahman Farhan , Suleman Masooma Aliraza ,   Computer Science Engineering, Vellore Institute of Technology, Chennai, India.
Published: January 2020

Communication is a major aspect of our day to day life and for maintaining the transmission of the data; electric power transmission lines play a major role in acting as the medium for this transmission. The transmission lines can further be differentiated as an overhead transmission line and underground transmission line. But the transmission is often hindered by the physical factors or generally known as faults. In the past few years, the implementation of the underground cable has seen an upsurge as these cables are not easily affected by the physical factors as the overhead cables are, as a result, there have been various methods adopted by the engineers for the analysis, detection and control of these faulty lines. Depending on the supply range of a particular nation different materials are used for the transmission lines. Different fault detection methods are used for the exact location of the fault and implementing that in a digitized way is the optimum solution. Whenever there is a fault the entire transmission line is affected, to ensure that the safety of the transmission line a governing system has been implied in our proposed work. Locating a fault requires various detection methods, one such method is the time domain reflectometry (TDR) which we have inculcated in our analysis of fault lines. This technique incorporates the transmission of a pulse down the cable, any change in the characteristics impedance will cause a part of the incident pulse to reflect back, this knowledge is helpful for locating discontinuities in a system.
Hyperledger Sawtooth Blockchain-Iot E-Provenance Platform for Pharmaceuticals
Authors:   B.Tech Electronica and Communication Engineering, Vellore Institute Of Technology, Vellore, India., Mansur Vandana , R Sujatha ,   Dept. of Embedded Technology, IoT and Sensors Division, Vellore Institute Of Technology, Vellore, India.
Published: January 2020

This paper investigates the Blockchain traceability framework necessary to develop supply chain application for pharmaceuticals, particularly for life saving drugs which need special logistic conditions. The thorough knowledge of the application specific design assists in the development phase. A solution framework has been proposed for the e-provenance platform for medicines addressing the issue of data streaming between the IoT and the Sawtooth Blockchain unit. A distinct three layered Blockchain-IoT architecture presented, is well suited for this design application. A classification of the Assets in this context distinguishes the properties of each asset type. The pharmaceutical supply chain flow indicates the modules to be deployed along with the transaction between the concerned parties. The application specific system design presents the platform requirements of both the IoT data acquisition and Blockchain data processing units. The theme of the paper namely provenance, can be realized only after investigating the data payload structure that distinguishes the ownership of the IoT sensors and clients namely manufacturer, distributor, retailer and consumer. The overview of the Docker containers illustrates the programming requirements for the specific application, giving the deployment needs at the application side. Finally, application deployment methodology indicates the Blockchain IoT designer, which software modules and hardware components are required to develop the design.
Architectural Enhancement of Network on Chip
Authors:   Pursuing Master of Science, Engineering Electrical Engineering Specializing, Electronics and Mixed Signal Circuits In Arizona State University,, Athiban Senthil , Shaju Mehazin ,   Research and Development Engineer, Continental, Bengaluru, India., Sravini  ,   Pursuing Ph.D Under Dr.S Ananiah Durai, Vellore Institute of Technology, India., Durai Dr.S Ananiah ,   Associate Professor, School of Electronics Engineering, Vellore Institute of Technology, Chennai Campus, India.
Published: January 2020

This paper gives a new architectural design suggestion of NoC, with efficient way of communication. Firstly, to create a serial data communication architecture in competence with the existing widely used parallel form of data transmission and reception [1]. Secondly to enable simultaneous transmission and reception between more than one module at the same time. Thirdly to create the architecture that is modifiable as per the need of user. The theoretical data rate calculated was 300 MBps. The throughput we achieved after the completion is 250MBps.
Building a Private Lo Ra WAN Platform
Authors:   ECE department, IUPUI, Indianapolis, USA., Lee John , Souryal Youssef ,   ECE department, IUPUI, Indianapolis, USA., Kim Dongsoo ,   ECE department, IUPUI, Indianapolis, USA., Kang Kyubyung ,   ECE department, IUPUI, Indianapolis, USA., Koo Dan D. ,   ECE department, IUPUI, Indianapolis, USA., Tam Darren ,   Tandon School of Engineering, NYU, Brooklyn, USA
Published: January 2020

LoRaWAN technology has been here for several years as one of LPWAN technologies. It consists of various components such as end nodes, a gateway, a network server, and an application server at the minimum. The servers have been exclusive products of commercial companies, and not many experimental or academic ones are available. Recently one such software has been developed. However, few fully functional academic ones have been reported. In this study, we implement a fully functional private independent LoRaWAN platform for the academic research of LPWAN Internet of Things (IoT) and demonstrate that our platform can support not only end-to-end LoRaWAN communication but also graphical user interface on an embedded and limited computing power system.
Development of safety performance using scoring Technique In Textile Industries
Authors:   Department of Mechanical Engineering Kalasalingam Academy of Research and Education, Krishnankoil, India., Pradeesh T Raj , P Venkumar ,   Department of Mechanical Engineering Kalasalingam Academy of Research and Education, Krishnankoil, India., M Saravanamani ,   Department of Mechanical Engineering Kalasalingam Academy of Research and Education, Krishnankoil, India.
Published: January 2020

The objective of the work focus to determine the potential safety factors that directed the triumph of a Human factors safety Management system for Textile workers. The number of accidents among textile workers and the level of responsiveness on problems concerning safety were also determined. The Spinning mills ranged from high noise annoyance areas, rotating machineries and Manual Material handling areas. The sample size was 75 in each sub criteria workers’s. From the survey it was found that the most potential safety factor was personal awareness followed closely by statement. Suggestions and recommendations on machinery design and improved safety work practices and measures to improve the efficiency and yield of textile workers were proposed. Management was advised to get their labours response better informed about safety matters. The Investigation survey identify the ineffective management involvement is the main causes of creating safety deficiency inside the textile plants. About 40- 80% of peoples recorded the same reasons to improve the management involvement in all the safety aspects. Very few of the people delivered regarding origin of unsafe acts and condition due to their behaviour of worker inside the workplace related to Human error. This works presents the improved model for management of textile plants in upcoming future investigations.
Machine Vision Based Autonomous Green Agri Bot
Authors:   School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai (Tamil Nadu), India, Sirisha Gopireddy , Harshdeepsinh Parmar ,   School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai (Tamil Nadu), India, Hemanth Konduri Subrahmanya ,   School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai (Tamil Nadu), India, Narayanan Sathiya ,   School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai (Tamil Nadu), India
Published: January 2020

Automated agriculture bot offers effective solutions to modern agriculture. This paper explains the proposed multi-purpose automatic bot using machine vison-based navigation system powered by sun tracking solar panel with battery charger system with an overview on newly combined methodologies for the efficient improvement in production as well as in multiple agricultural operations like levelling, seed distribution and spraying, with effective power management system. This proposed idea will make the process sustainable and eco-friendly.
Object Detection and Identification in Surveillance Images using Image Processing
Authors:   Pursuing Master of Computer Applications, VIT University, Chennai., Muralisankar Vanisri , Jasmine Dr. S. Graceline ,   Assistant Professor Senior at VIT Chennai.
Published: January 2020

The goal of object detection and identification in surveillance images using image processing is to detect a particular part of the image from surveillance camera like an object’s position, movement, and its sequence. Object tracking and recognition deal with recognizing the image of video which can differ in color, range, size, illumination changes with time and some cluttered images. As this paper has been surveying and an algorithm has been proposed and implemented, the identified object has freed from the shadow, clutter, illumination changes were detected and eliminated appropriately.
Examination on Mechanical Behavior and Drilling Analysis of Fiber Metal Laminates
Authors:   Centre for Composite Materials, Department of Mechanical Engineering, Kalasalingam Academy of Research & Education, Virudhunagar, Tamilnadu, India, Jamwal Nishant Singh , Paul Pritam ,   Centre for Composite Materials, Department ofMechanical Engineering, Kalasalingam Academy of Research & Education, Virudhunagar, Tamilnadu, India, Jappes J T Winowlin ,   Centre for Composite Materials, Department of Mechanical Engineering, Kalasalingam Academy of Research & Education, Virudhunagar, Tamilnadu, India, B Anushraj ,   Centre for Surface Engineering, Department of Mechanical Engineering, Kalasalingam Academy of Research & Education, Virudhunagar, Tamilnadu, India, N C Brintha ,   Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Virudhunagar, Tamilnadu, India.
Published: January 2020

Fiber Metal Laminates (FML) are a class of composites that are recently employed to substitute sole metals in various applications like aerospace applications. In this investigation, a new type of FML was successfully fabricated using compression moulding in which Aluminium and ceramics mat are stacked in the presence of epoxy resin. To improve the bonding by ensuring the flow of resin through the laminates, drilling with various pattern on the Aluminium sheet and ceramic mat were performed before subjected to compression to form FML. Aluminium sheets with Zig-zag pattern performed in a better way due to the improvements in bonding. In addition, drilling operation was done on the FML to ensure the de-lamination resistance and machinability. The drill bit before and after drilling was inspected by using optical microscope to understand the machinability behaviour of the FML.
Do Horoscopes Influence the Process of Language Learning? A Model-Based Research Report Theme: Astronomy
Authors:   Department of English, Chaitanya Bharthi Institute of Technology, Hyderabad, India., Ragini Dr. Ch. Suvarna
Published: January 2020

As teachers of language it is our common experience that we have to incorporate a plethora of teaching methodologies in our classroom situations. One specific way of teaching may not be suitable for the learners with different learning preferences and it may not always be receiving bouquets but brickbats too. Sometimes we even go to such a stage of contemplation that whether it is destiny which decides upon their learning potentiality.The main aim of the current study is to explore the relevance between the learners’ horoscopes and learning abilities indicated in Reid’s Perceptual Styles Questionnaire. And, in doing so it studied the variation in learners’ preferences and their attitudes towards Language learning based upon the predictions made in their horoscopes.The parameters taken into consideration for testing their language abilities were Communication, Reading skills and Writing skills. Standardized Model Tests (GRE, TOEFL) were conducted to evaluate their performances andlater their performancescores were matched with the predictions made in their horoscopes. Interestingly 90% of the results indicated that the students’ performances matched with the learning styles and preferences predicted in their horoscopes.Though the study needs further implications, it is believed that it providesthe teachers with the ability of classifying a mixed-ability classroom and designing relevant tasks to suit the learners’ interests.
Narayana Prime Cordial Labeling of Complete Graph and Complete Bipartite Graph
Authors:   Mathematics Division, School of Advanced Sciences, VIT, Chennai, India., Venkatesh S , Balamurugan B J ,   Mathematics Division, School of Advanced Sciences, VIT, Chennai, India.
Published: January 2020

Complete bipartite graph and complete graph are very important graphs and they find vital applications in the field of computer science. In this paper we compute the labels 0 and 1 to the edges of these graphs by satisfying the cordiality condition using prime numbers and Narayana numbers. We use divisibility concepts while computing the NP-cordial graphs.
Pell Labeling of Joins of Square of Path Graph
Authors:   Assistant Professor, Department of Mathematics , Patrician College of Arts and Science, Research Scholar-Part time –University of Madras, Chennai, India., Sriram S. , Govindarajan R. ,   Associate Professor and Head(Retd), Mathematics department, D.G.vaishnav College, Arumbakkam, Chennai, University of Madras, Chennai,India, Thirusangu K. ,   Associate Professor, Mathematics department, S.I.V.E.T College, Gowrivakkam , University of Madras, Chennai, India
Published: January 2020

A graph is composed of p vertices and q edges. A Pell labeling graph is the one with ( ) u VG being distinct. Label ( )fu from 0,1,2, … p-1 in a such a way that each edge is labelled with ( ) * f : E G → N such that ( ) ( ) ( ) * f uv = f u + 2 f v are distinct. In this paper we study Square of Path graph 2 nP and attach an edge to form a join to the square of path graph 2 nP and prove the join of square of path graph 2 nP is Pell labelling graph and further study on some interesting results connecting them.
5 Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) © Copyright: All rights reserved. Retrieval Number: A10771291S419/2019©BEIESP DOI:10.35940/ijeat.A1077.1291S419 Journal Website: www.ijeat.org Water Absorption Behavior on Natural/ Synthetic Fibre Reinforced Polymer Composites
Authors:   Associate Professor, Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil-626126, Tamilnadu, India, Kalirasu S. , Rajini N. ,   Professor, Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil-626126, Tamilnadu, India., Rajesh S. ,   Associate Professor, Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil-626126, Tamilnadu, India., Michla J. R. Jessy ,   Research Scholar, Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil-626126, Tamilnadu, India
Published: January 2020

This paper deals with the effect of moisture absorption on single coconut sheath fiber and single glass fibre. Additionally, the moisture effect in fibre reinforced unsaturated polyester composites like coconut sheath (CS) and Glass mat (GM) composite. Initially, CS and GM fibre reinforced polyester composite were produced through hand layup followed by compression moulding method. CS/UPR and GM/UPR composites were made through water treatment by dipping those composites in ordinary water for various time intervals at room temperature to study the water absorption effect. At different time periods, the absorption of water showed gradual increment. The effect of water gain in percentage for CS and GM was observed. From this experiment, it is concluded that the effect of water gain in CS/UPR composite is higher than GM/UPR composite.
Detection of Tumor Objects from MRI Brain Images using Thresholding Segmentation
Authors:   School of Electrical Engineering, VIT University, Vellore, India., Kumar K Sathish , S Venkatesh ,   School of Electrical Engineering, VIT University, Vellore, India.
Published: January 2020

Nowadays identification of brain tumor is a critical and challenging work in the research field. We describe the detection of brain tumor by using thresholding segmentation. Segmentation of brain tumor in MRI is developing research works. It is used to identify the tumor shape, size, and exact location. Our proposed system has three stages to detect the brain tumor in MRI. Thresholding technique is developed to detect the brain tumor in MRI. The first stage is to collection MRI data from the web database. The second stage for pre-processing and finally post-processing. The proposed system is less time consuming while compared to other techniques and the medical experts are also easily identify the exact tumor location.
Linear Buckling behaviour of Composite Laminate [(θ/-θ)] with various shaped cutout using FEM
Authors:   Department of Mechanical Engineering, Theni Kammavar Sangam College of Technology, Theni, India., K Somasundaram , P Pandiarajan ,   Department of Mechanical Engineering, Theni Kammavar Sangam College of Technology, Theni, India., M Kathiresan ,   Department of Mechanical Engineering, Thiagarajar College of Engineering,Madurai, India., PG Baskaran ,   Department of Mechanical Engineering, Sri Venkateswara College of Engineering and Technology, Thiruppachur, Thiruvallur, India., I Rajkumar ,   Department of Mechanical Engineering, Kalasalinagm Academy of Research and Education, Krishnankoil, Virudhunagar, India.
Published: January 2020

In this paper, the buckling behavior has been investigated on square laminate made of Woven-glass-polyester composite with various shaped cutouts (i.e., circle, square, vertical rectangle, horizontal rectangle, vertical ellipse, horizontal ellipse) numerically. The composite laminates have been arranged in asymmetrical order as [(θ/-θ)]. The laminated plate that is subjected to uniaxial compression has been emphasized on the laminate along with the effect of layer orientation, effect of cutout ratio and effect of cutout angle. The result shows that the minimum buckling load is obtained at 45° and the maximum buckling load attained at 0° and 90°for all laminates by increasing the layer orientation. For cutout ratio, the maximum and minimum load is obtained for the smallest and largest cutout ratio in all cutout shapes. Increasing the cutout angle, the square cutout exhibits the minimum load at 60°. In elliptical cutouts, the load is decreasing and increasing gradually while they are aligned in along and perpendicular to the loading directions. The rectangular cutouts positioned vertically and horizontally the load is decreasing up to 30° and 60°and then increasing up to 90°.
Low Cost Automated Washing Machine
Authors:   Department of Computer Science and Engineering, Nagarjuna college of Engineering and Technology, Bangalore, India., Patil Shantakumar B. , Patil Premjyoti ,   Department of Electronics & Communication Engineering, Nagarjuna college of Engineering and Technology, Bangalore, India., Velagala Sreerajavenkatareddy ,   Department of Computer Science and Engineering, Nagarjuna college of Engineering and Technology, Bangalore, India., Eggoni Harshini ,   Department of Computer Science and Engineering, Nagarjuna college of Engineering and Technology, Bangalore, India.
Published: January 2020

Before purchasing any equipment, everybody will ask two things about the products. i. The cost of the equipment’s. ii. Efficiency of the products, both never go together. But in our proposed system we present such a system which fulfill both the conditions (low cost and efficient). Presently all hostess (House Wife) is using a smart phone. By making use of these smart phones we are controlling low cost non-automated washing machine and we use it like smart washing machine. The designed circuit used in the washing machine is simple and it consumes less power which in turn dissipate less heat and consumes less space.
Detection of Copy Right Infringement of Audio in on-Demand Systems using Audio Fingerprinting
Authors:   Department of Information Technology, St.Joseph’s Institute of Technology, Chennai, India., Rajadurai *Dr. Priscilla , Karthi M. ,   Department of Information Technology, St.Joseph’s Institute of Technology, Chennai, India, Infantia C.Niroshini ,   Department of Information Technology, St.Joseph’s Institute of Technology, Chennai, India., Neelambary V. ,   Department of Information Technology, St.Joseph’s Institute of Technology, Chennai, India., Tabjula Lokeshwar Kumar ,   Department of Information Technology, St.Joseph’s Institute of Technology, Chennai, India.
Published: January 2020

Today, with an evolution of large public media databases, repositories and services such as Sound Cloud, Spotify, Wynk, YouTube and Saavn, the chances of intentional and unintentional plagiarism is been increasing at an exponential rate. The paper proposed a solution which is used to detect copy right infringement of audio in real time systems using the technique called Audio Fingerprinting. The resulting software will be able to process an audio file, generate an audio fingerprint that can be stored and searched to find the matched values in a database.