bluuebunny/crossref_metadata_2025 huggingface dataset:
Design and Analysis of an Epicyclic Gearbox for an Electric Drivetrain
Authors:   Final Year student, Mechanical Engineering. at Vellore Institute of Technology, Patel* Timir , Dubey Ashutosh ,   Final Year Student Mechanical Engineering. at Vellore Institute of Technology, Bhaskara Rao Lokavarapu ,   Associate Professor, School of Mechanical and Building Sciences, VIT Chennai
Published: October 2019

This paper focusses on the designing and optimizing of a planetary gearbox for an FSAE formula electric car. The conventional arrangement of single or double stage reduction transmissions are bulky and uneconomical for an FSAE car because of their less power to weight ratios and high volume to weight ratios. A planetary gearbox gives a balance between weight and power transmitted. The procedure for the design was an iterative process to determine the optimum dimensions and materials for the gearbox. The method utilized the standard equations for gear calculations and computational simulations for designing and CAD modelling for various parts of the gearbox. The transmission shafts and bearings are designed using the standard force equations. The lubrication system is also selected according to established methods.
IRMM: An Integrated Resource Management Model for Grid Computing
Authors:   Computer Science & Engineering, UIET, Panjab University, Chandigarh, India., Singh* Makhan
Published: October 2019

Grid computing is a collection of heterogeneous systems or heterogeneous objects that are geographically distributed over a network. Resource management is a process in which various activities like allocation of resources and scheduling are performed for handling issues like load balancing, reliability, scalability, maximum, throughput, minimum expectation time and security. There are several factors that make resource management difficult as different system may have different requirements, properties, conditions and different access and cost models. Resource management in Grid is the method of identifying requirements, finding corresponding resources to the applications, allocating those matching resources, scheduling and monitoring. In Grid resource management resource broker plays the very important role. Users communicate with a resource broker to access the grid information. Resource broker discover the resource that are available and negotiates with their owners or their agents to get the reservation of resources. Number of approaches exists through which one can develop grid resource management systems. In this paper a new architectural model has been implemented for grid resource management which is based on the characteristics of both the Economical model and Hierarchical model.
Consumption of Ion Exchange Resin Waste in Concrete
Authors:   Professor, Department of Civil Engineering, Veltech Multitech Dr Rangarajan Dr Sakunthala engineering college, Avadi, Chennai 600062, India., A K*. Dasarathy. , Selvi M.Tamil ,   Professor, Department of Civil Engineering, S.A Engineering college, Avadi, Chennai 600062, India, Leela D. ,   Assistant Professor, Department of Civil Engineering, Dr. M.G.R. Educational and Research Institute University Chennai 600095, India, PonkumarIlango S. ,   Assistant Professor, Department of Civil Engineering, Dr. M.G.R. Educational and Research Institute University Chennai 600095, India
Published: October 2019

This project deals with the investigation of strength property of concrete made by partial replacement of cement using ion exchange resin waste. Ion exchange resin waste is readily available at free of cost in various industries. We are using the cation exchange resin waste from water softening process. This waste material is collected from a local place in Chennai In recent years, ion exchange resin is used in concrete for corrosion resistant purpose. The percentage replacements of cement by using ion exchange resin waste are 10%, 20% and 30% by weight. The results indicate The selected concrete grade is M30 and water cement ratio is 0.45. Cubes and cylinders are casted with the specified replacement of cement by using ion exchange resin waste. The strength has been checked at 7 days, 14 days and 28 days curing for the specimens made with specified partial replacement of cement by using ion exchange resin waste. Cubes are subjected to compressive strength test and cylinders are subjected to split tensile strength test. It has been concluded that the reasonable strength of 31.76 N/mm2 (Target strength of M20 grade concrete) may be attained in M30 grade mix ratio while adding ion exchange resin waste as 10% replacement of cement. So the optimum percentage of replacement of cement is 10% for both cubes and cylinders.
Grid based Bio-Inspired Energy Efficient Trusted Hybrid Routing Protocol for MANET
Authors:   Research Scholar, Department of Computer Engineering, GITAM University, Hyderabad-502329, India., R. M.* Nareshkumar , Phanikumar S. ,   Professor & HOD, Computer Engineering, GITAM University, Hyderabad-502329, India.
Published: October 2019

Device to device (D2D) data communication in cellular wireless network can be done either directly from source equipment (SE) to destination equipment (DE) or through relay equipment (RE). This type of network mainly known as Wireless ad hoc networks. Mobile ad-hoc networks (MANETs) have constraints such as such as limited power, route failure, bandwidth allocation, and computational complexity. The major impact on the performance of network depends on routing strategy. Routing strategy for matching the multi constraints of network is so far challenge in conventional network. MANETs suffers from dynamic movement of node, power, dynamic routing and storage complexity. Dynamic movement force the computation of re-routing, which act as extra computational burden on the system. In this paper, we propose the Grid Cluster based Multi-Objective Genetic Algorithm for Energy Efficient Trusted Network (gCMOGAEETN) algorithm for finding optimal routes from a given SE to a given DE. Our simulation results show that gCMOGAEETN algorithms are efficient in solving these routing problems and are capable of finding the optimal solutions at lower complexity than the ’brute-force’ exhaustive search, when the number of user equipment (UEs) is higher than or equal to 50. The analytical and simulation result shows that proposed method exhibit significantly higher performance than optimal adaptive forwarding strategy (OAFS), sub-optimal adaptive forwarding strategy (SAFS), memory enhanced genetic algorithm (MEGA), Elitism-based Immigrants Genetic algorithm (EIGA), dynamic load-balanced clustering problem (DLBCP) and Genetic Algorithm Based Optimization of Clustering (GABOC)..
The Effect of Company Size, Liquidity, Profitability, Solvability, And Audit Firm Size on Audit Delay
Authors:   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia,, Handoko* Bambang Leo , Muljo Hery Harjono ,   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia,, Lindawati Ang Swat Lin ,   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia
Published: October 2019

Audit delay is the lag in completing an audit report by the auditor. Audit delay causes financial statements to be inhibited for publication. This causes the users of financial statements to wait longer to be able to use financial statements as a tool in decision making. The purpose of this research is to empirically examine the effect of company size, liquidity, profitability, solvability, and audit firm size towards audit delay on property and real estate companies that listed on Indonesia Stock Exchange (IDX) in 2014-2018. This research is a quantitative study that tests the hypothesis, whether there is the influence of independent variables on the dependent variable. This study uses the ordinary least square method Statistical test used is the coefficient of determination test, partial t test and simultaneous f test. The selection of research samples using purposive sampling method. The sample of this research consists of 46 companies with 5 years of research so total of the research objects amounting 230 data. The data analysis method used in this research is panel data regression analysis using E-views version 10. Based on the results of partial test, profitability and audit firm size have significant effect on audit delay. Company size, liquidity, and solvency do not have a significant effect on audit delay. Simultaneous test result showed that company size, liquidity, profitability, solvability, and audit firm size simultaneously affect audit delay. The results of this study indicate that if the auditor wants to minimize audit delay, they must pay more attention to clients' profitability and consider the size of the company, the size of the audit's scope of work
Automatic Vehicle Turn Indicator using Speech Recognition
Authors:   Department of Computer Science, SRM Institute of Science and Technology, Ramapuram (Chennai), India., Divakar Akshay , Krishnakumar Sitaraa ,   Department of Computer Science, SRM Institute of Science and Technology, Ramapuram (Chennai), India., Florenza J Caroline El ,   Assistant Professor, Department of Computer Science, SRM Institute of Science and Technology, Ramapuram (Chennai), India.
Published: October 2019

Voice-controlled innovation is an energizing region of research that is utilized to help people in the mechanical control of manual frameworks. It is a part of human-communication that builds the advances in programmed discourse acknowledgment or ASR with the inventive advances of characteristic language handling or NLP. Wise frameworks, for example, Automatic Vehicle Signaling Systems, can likewise take into consideration adaptability in manual activities. In late investigations, analysts have investigated regular language control of manual tasks. In this paper we will research interfacing voice control activities with Arduino-based equipment stages that are utilized to structure the programmed sign highlights in a vehicle. The control system includes a voice recognition circuit for activating turn signal devices within the vehicle. The voice recognition circuit takes in input from the voice from the Google maps voice assistant. In some formats, a wireless hardware is provided while in other embodiments original equipment manufacture is accommodated.
Integrity Checking in Cloud Storage and Policy Based User Revocation using Attribute Based Encryption
Authors:   Department of Computer Science, Thavathiru Santhalinga Adigalar Arts, Science and Tamil College, Coimbatore, Tamilnadu, India., Umadevi* Dr. V. , Girisan Mr. E. K. ,   Department of Computer Science, Sree Narayana Guru College, Coimbatore, Tamilnadu, India.
Published: October 2019

Applications that range over various mists are frequently observed to be powerless against security dangers. Such profoundly heterogeneous situations need a fine-grained access control system like Attribute-based Access Control for upholding security. One of the most encouraging applications in distributed computing is online information sharing. Step by step instructions to share client information securely and productively has turned out to be one of the most testing issues in distributed computing. Be that as it may, this postures new provokes identified with making secure and solid information stockpiling over questionable specialist co-ops. The principle objective of distributed computing is the means by which to verify, secure the information and procedure. In this study, we find the issue of guaranteeing the respectability of data in cloud computing. Specifically, we consider techniques for decreasing the weight of producing a consistent measure of metadata at the customer side. Ascribe division chooses whether to momentarily disavow client approval as indicated by property subset. Furthermore, we propose another model called Policy-based Attribute Based Access Control (Pa-ABAC) utilizing half breed property based encryption. Our goal is to officially determine the conduct of various components of the proposed model in a cloud domain. This is imperative to build up a substantial security arrangement for a cloud situation free from determination mistakes and irregularities.
An Internet of Things (IOT) based Class Monitoring System: Suchak
Authors:   Department of Electronics & Communication Engineering, MRIIRS, Faridabad, India, Passi* Abhiruchi , Devdutt  ,   Department of Electronics & Communication Engineering, MRIIRS, Faridabad, India.
Published: October 2019

For effective teaching, it is imperative that classes are held regularly as per schedule, and all the students attend the same. All university and colleges have prescribed attendance rules to ensure that the minimum number of lectures is being attended by the students. Maintaining the records of lecture held, counseling/informing the students who are short of attendance and finally taking consequential action manually is a timely and tedious task. In this paper, an Internet of Things (IOT) based Class Monitoring System is introduced. Each Professor is assigned a unique ID, and the system uses RFID tag to identify the Faculty. All the captured information is sent to the cloud and analyzed for further appropriate action.
Teleoperation Cloud Industrial Robot using XMPP Protocol
Authors:   School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin, China. - Faculty of Engineering, University of Jember, Jember, Indonesia., Atmoko* Rachmad Andri , Yang Daoguo ,   School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin, China., Abas Mohamad Ilyas ,   Information System Department, Muhammadiyah University of Gorontalo, Gorontalo, Indonesia., Arfianto Afif Zuhri ,   Marine Electrical Engineering, Politeknik Perkapalan Negeri Surabaya, Surabaya, Indonesia., Rahim Robbi ,   Sekolah Tinggi Ilmu Manajemen Sukma, Medan, Indonesia
Published: October 2019

Teleoperation is an operation needed to complete a variety of robot tasks in dangerous and difficult-to-reach environments. In the industrial world, teleoperation robots can be used to help humans complete dangerous tasks such as grasping and lifting in the nuclear industry. Controlling industrial robots can be done remotely via the Internet. However, communication still needs to be improved so that it can achieve low latency, be safe, high reliability, and be interoperable. This study proposes the use of the XMPP protocol to handle data interactions between robots and cloud platform. We modified the Robot Operating System (ROS) package by adding a special node that bridges communication using the XMPP protocol. We compare the performance of MQTT with the HTTP protocol. The test results show that the MQTT latency time is better than HTTP. The results of this study can be used in robot teleoperation operations in various industries that consider aspects of communication quality.
Design Training Kits CPI for Vocational Learning in Industry 4.0
Authors:   Technology and Vocational Education Study Program, Graduate School & Faculty of Engineering Universitas Negeri Yogyakarta, Yogyakarta, Indonesia, Sudira* Putu , Juwanto Rizki Edi ,   Alumni of Technology and Vocational Education Study Program Graduate School Universitas Negeri Yogyakarta, Yogyakarta, Indonesia.
Published: October 2019

Cyber Physical Infrastructure (CPI) is one of eight supporting technology infrastructures of Industry 4.0. CPI is built from several technologies including RFID, RTLS, sensors, wireless sensors, actuators, processors, controllers, and data communication network systems. This paper presents the design of vocational learning training kits for CPI competencies in industry 4.0. CPI training kits for developing industry competency 4.0 are designed using the waterfall life-cycle method. Design analysis, design systems, part production, assembling processing, firmware production, systems evaluation, and test used interactively to produce the final product. Industrial 4.0 CPI training kits design includes: (1) PLC processor systems, mini PC, Arduino mega2560; (2) a timer counter controller with a PID systems; (3) RFID and RTLS identifiers; (4) proximity sensor, magnetic sensor, inductive sensor, capacitive sensor, photoelectric sensor, humadity sensor, thermocouple, thermostat, thermistor, opto coupler, limit switch, push button, analog V, ultrasonic, pressure sensor, speed sensor; (5) AC motor actuators, servo motors, stepper motors, valves, pneumatic-hydraulic cylinders, lamps, heaters, relays, SSR, 24V-5V converters; (6) LCD, LED monitor display; (7) data communication between controllers, (8) data communication modules to the internet; (9) user manual and job sheet. The test results show: content experts have given a score of 76.7 from a scale of 100, media experts have given a score of 88.6 from a scale of 100 and users have given a score of 85.4 from a scale of 100. Field trials through training show results can improve competencies in industry 4.0. CPI training kits strongly support the education and training needs of various competencies to develop the capacity of workers in industry 4.0. CPI training kits can be used in schools, universities, and training centers for industrial technology 4.0.
Frequency Dependent Graphene Surface Plasmon Properties on Different Dielectrics
Authors:   Centre for Nanotechnology Research, Vellore Institute of Technology, Vellore, India., Jacob* George , Raina* Gargi ,   School of Electronics Engineering, Vellore Institute of Technology, Chennai Campus, Chennai India.
Published: October 2019

Numerical analysis of surface plasmon behaviour is performed on graphene surface supported on different dielectric medium and with varying graphene chemical potential. The dielectric medium of graphene is varied from free standing graphene to rigid SiO2 wafer substrate to flexible PMMA polymer for diverse graphene plasmonics applications. The dispersion relation, propagation length and penetration depth of graphene surface plasmons are computed and analysed for the different dielectrics. The results show that graphene plasmonic behaviour in the various dielectrics highly depends on its chemical potential, the excitation input frequencies and produces surface plasmons with high field localization and low losses. This study of plasmonic behaviour on flexible dielectric opens up application of graphene plasmonics in the field of flexible optoelectronics.
Using Interactive Games to Engage Children with Autism on Visual Impairment
Authors:   Pervasive Computing & Educational Technology (PET), Faculty of Information & Communication Technology. Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia, Ku Mohd* Che Ku Nuraini Che , Ananta Gede Pramudya ,   Pervasive Computing & Educational Technology (PET), Faculty of Information & Communication Technology. Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia, Shahbodin Faaizah ,   Pervasive Computing & Educational Technology (PET), Faculty of Information & Communication Technology. Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia, Sedek Muliati ,   Centre For Languages and Human Development. Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia., Mohd Noor Helmi Adly ,   Technical Foundation Section, Universiti Kuala Lumpur Malaysian Institute of Industrial Technology (UniKL MITEC).
Published: October 2019

This study aims to explain on the development of an Android based application using a serious games technique, which known as Autism Kits. It's a built mobile application that functions as an autism spectrum disorder learning application. The model was followed by the ADDIE methodology. In the meantime, respondents, including autism students, educators and parents, were tested. After the application was completed, a survey was performed. Results have demonstrated that teachers and parents are willing to use the application for autistic children that has been found to be very useful.
A Structural Equation Model to Assess the Factors Influencing Employee’s Attitude & Intention to Adopt BYOD (Bring Your Own Device)
Authors:   Associate Professor & HOD (Management), Amity Business School, Amity University, Greater Noida, India., Gupta* Dr. Ruchika , Varma Dr. Siddharth ,   Professor, IMI, New Delhi, India,, Bhardwaj Dr. Garima ,   Assistant Professor, Amity Business School, Amity University, Greater Noida, India.
Published: October 2019

Bring Your Own Device (BYOD) is an emerging trend whereby employees are allowed to use their own mobile devices to access organizational data from anywhere and anytime. It helps increasing employee productivity and reducing capital cost for the organization. To formalize and implement BYOD policy, it is imperative to understand the employee’s attitude and intention since the success of this policy highly depends on their attitude and intention. Therefore, this study proposes an insight on the factors influencing employees’ attitude towards BYOD & their intentions to use their own devices for organizational purpose. A research model have been developed based on Technology Acceptance Model(TAM) which is tested for reliability and validity through Structured Equation Modeling using sample collected from 332 employees. The results of this study indicate that decision by employees to adopt BYOD is indeed a complex interplay of a number of variables and while some of them may affect attitude towards BYOD they may not have a positive effect on intention to adopt BYOD. The study also brings forward several implications which can be a valuable reference for practitioners and other researchers.
Traffic Impact Analysis for Proposed Construction in Warangal City
Authors:   Civil Engineering Department, CMR College of Engineering & Technology, Medchal, India., Prasad* Bollini , Marrapu Balendra Mouli ,   Civil Engineering Department, CMR College of Engineering & Technology, Medchal, India.
Published: October 2019

Traffic congestion is reaching intolerable levels in many cities in both developed and developing countries. New building developments are cited as one of the major causes of congestion in the cities. The uncontrolled growth of these developments adversely affects the quality of life and aggravates environmental and safety problems. Generally, it is seen that the new constructions are initiated and developed without giving due consideration to the ability of the existing transportation facilities to handle the additional traffic. Though the demand and supply characteristics of a transportation system must complement each other, it is not practically feasible to increase the supply infinitely to meet the demand. Hence, it is evident that Traffic Impact Analysis plays an important role in managing and reducing the uncontrolled development and its negative impacts on transportation system, environment and economy. A traffic impact analysis is an engineering study which assesses the adequacy of the existing or future transportation infrastructure to accommodate additional trips generated by a proposed development, redevelopment or land rezoning. The purpose of a traffic impact analysis review is to assess potential traffic impacts, identify acceptable mitigation strategic plan for the transportation requirement of future development, and maintain a balance between land use and quality of transportation services. An attempt has been made in this study to carry out traffic impact analysis for a proposed development in Warangal city. In this work, trip rate for the proposed development is computed on the basis of trip rates of similar existing developments. Combined Trip distribution and Assignment has been carried out using Traffic count based distribution model. Future condition Analysis has been done and appropriate mitigation measures are suggested.
Web Based Electronic Wireless Lab Environment (EWL) for Engineering Students using Wi-Fi Architecture
Authors:   Department Of Information Technology, VelTech HighTech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai - 600054, Tamil Nadu, India., Mohan* Dr.A. , Kumar Mr. N. Komal ,   Department of Computer Science and Engineering, St. Peters Institute of Research Science and Technology, Chennai, Sakthivel Mr. M. ,   Department Of MCA , VelTech HighTech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai - 600054, Tamil Nadu, India., Cornelius Mr. K. ,   Department of Computer Science and Engineering, St. Peters Institute of Research Science and Technology, Chennai, Vijayan Mr. V. Balaji ,   Department Of Information Technology, VelTech HighTech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai - 600054, Tamil Nadu, India.
Published: October 2019

With the fast developing of remote travel, it has turned into a fundamental of figuring out how to have the hands-on involvement in remote systems administration for the multiplied number of understudies (Engineering) in a building. Some of the current executions for remote systems administration are either utilizing reenactments, which lose the truth or excessively confused for college understudies, making it impossible to control tests. In this paper, we introduce a functional online research center stage, Electronic Wireless Lab (EWL).EWL mostly centers around giving understudies hand-on understanding of doing probes genuine device through website page whenever anyplace. It utilizes the structure of two-level tasks, which offices expanding the size of remote device and enables EWL to be reached out to more entangled activities. The timetable plans of EWL let more understudies offer and make proficient utilization of remote device. A model of EWL has been actualized and utilized effectively as supplements for a college class for a long time in a college. From these assessment there are 600 engineering students are participated.
Disease Prediction and Drug Recommendation Android Application using Data Mining (Virtual Doctor)
Authors:   Information Technology Department, SRM Institute of Science and Technology, Kattankulathur,Chennai, Tamil Nadu, Mudaliar* Vivek , Savaridaasan P. ,   Information Technology Department SRM Institute of Science and Technology, Kattankulathur,Chennai, Tamil Nadu, Garg Sachin ,   Information Technology Department SRM Institute of Science and Technology, Kattankulathur,Chennai, Tamil Nadu
Published: October 2019

Data Mining is a method that requires analyzing and exploring large blocks of data to glean meaningful trends and patterns. In today’s period, every person on earth relies on allopathic treatments and medicines. Data mining techniques can be applied to medical databases that have a vast scope of opportunity for textual as well as visual data. In medical services, there are myriad obscure data that needs to be scrutinized and data mining is the key to gain useful knowledge from these data. This paper provides an application programming interface to recommend drugs to users suffering from a particular disease which would also be diagnosed by the framework through analyzing the user's symptoms by the means of machine learning algorithms. We utilize some insightful information here related to mining procedure to figure out most precise sickness that can be related with symptoms. The patient can without much of a stretch recognize the diseases. The patients can undoubtedly recognize the disease by simply ascribing their issues and the application interface produces what malady the user might be tainted with. The framework will demonstrate complaisant in critical situations where the patient can't achieve a doctor's facility or when there are situations, when professional are accessible in the territory. Predictive analysis would be performed on the disease that would result in recommending drugs to the user by taking into account various features in the database. The experimental results can also be used in further research work and for Healthcare tools.
Implementation of 5S Framework and Barriers modelling through Interpretive Structure Modelling in a Micro Small Medium Enterprise
Authors:   Department of Production Engineering Birla Institute of Technology Mesra, Ranchi (Jharkhand), India, Verma* Ram Babu , Kumar Jha Dr. Sanjay ,   Department of Production Engineering Birla Institute of Technology Mesra, Ranchi (Jharkhand), India
Published: October 2019

The 5's technique is an assemblage of working tools of lean manufacturing that organize, order, clean, standardize and continuous any workplace. This article exemplifies a case study on the implementation of the Lean 5's Technology in a micro, small and medium enterprise (MSME), so as to make it more efficient, effective and productive. Considering the working conditions, a 5's framework has been analyzed and implemented where a remarkable improvement was noticed in product quality, lead time as well as cost reduction. The personal study clearly exhibits that it is very essential for an organization to train its workers about 5's rules. In this article, an attempt has been made to identify various shortcomings and mitigate them. The proposed framework investigates the flaws in the manufacturing processes within the organization. Standard operating procedures have been developed and applied on the shop floor holistically and changes were recorded which validates the fact that 5S is a simple and powerful technique, used to eliminate the process wastes, errors and helps in the development of a formal workplace organization system for the company. Furthermore, various barriers faced during the implementation of 5S rules were identified and a through the technique of Interpretive Structural Modelling (ISM) a visual model was developed which showcased the various interrelationships existing between the said barriers
Influence of Pylon’s Geometry on response of Cable Stayed Suspension Hybrid Bridge (CSSHB)
Authors:   Head of Applied Mechanics Department, Government. Polytechnic, Himatnagar, Gujarat, India, Gabra* Prof. J H , Desai Prof.(Dr.) A. K. ,   Applied Mechanics Department, SVNIT, Surat, Gujarat,
Published: October 2019

Cable-supported structures/bridges (CSB’s) are used for surmounting across river, stream and sea o any obstructions spanning over for long to very long spans. Their ample stableness, optimal structural materials usage , esthetical appearance, relatively cheap design and maintenance, and greater efficiency is the backbone reason of its dominance. Designs of bridges vary contingent upon the reason it is intended to, function of the bridge, the nature of the terrain where the bridge is constructed and tied down, the material used to make it, and the assets available to build it and so on. Cable Stayed Suspension Hybrid Bridge (CSSHB) has an added advantage additional bit of leeway in inclination over suspension bridge as well as cable stayed bridge. Dynamic investigation is is endeavored to inspect impact of pylon geometry (shape) on Modal Time Period(s) for different time history analysis using SAP2000. 1400 m span CSSHB has been used for the same. Fan type arrangement of cables is considered in this study Hexagonal shaped Pylon exhibits greatest flexibility followed by H, whereas Double Diamond shape, Inverted Y and A shaped pylons exhibit greater stiffness
Feature Selection using K-Means Genetic Clustering to Predict Rheumatoid Arthritis Disease
Authors:   Research Scholar, Department of Computer Application, Government Arts College, Salem-636007, Tamil Nadu., Jayanthy* B. , Senthamarai* Dr.C. ,   Assistant Professor, Department of Computer Application, Government Arts College, Salem-636007, Tamil Nadu
Published: October 2019

In our Society, Aging society plays serious problems in health and medical care. When compared to other diseases in the real life Rheumatoid Arthritis disease is a common disease, Rheumatoid Arthritis is a disease that causes pain in musculoskeletal system that affect the quality of the people. Rheumatoid Arthritis is onset at middle age, but can affect children and young adults. If the disease is not monitored and treated as early as possible, it can cause serious joint deformities. Cluster analysis is an unsupervised learning technique in data mining for identifying or exploring out the structure of data without known about class label. Many clustering algorithms were proposed to analyze high volume of data, but many of them not evaluate cluster’s quality because of inconvenient features presented in the dataset. Feature selection is a prime task in data analysis in case of high dimensional dataset. Optimal subsets of features are enough to cluster the data. In this study, Rheumatoid Arthritis clinical data were analyzed to predict the patient affected with Rheumatoid Arthritis disease. In this study, K-Means clustering algorithm was used to predict the patient affected with Rheumatoid Arthritis Disease. Genetic algorithm is used to filter the feature and at the end of the process it finds optimal clusters for k-Means clustering algorithm. Based on the initial centroid , K-Means algorithm may have the chance of producing empty cluster. K-means does not effectively handle the outliers or noisy data in the dataset. K-means algorithm when combined with Genetic Algorithm shows high performance quality of clustering and fast evolution process when compared with K-Means alone. In this paper, to diagnosis Rheumatoid Arthritis disease we use machine learning algorithm FSKG. A predictive FSKG model is explored that diagnoses rheumatoid arthritis. After completing data analysis and pre-processing operations, Genetic Algorithm and K-Means Clustering Algorithm are integrated to choose correct features among all the features. Experimental Results from this study imply improved accuracy when compared to k-means algorithm for rheumatoid disease prediction.
An Optimal Inception Based Segmentation and Classification Model for Diatom Species Images
Authors:   Research Scholar, Department of Computer Science and Engineering, Annamalai University, India., Mary A. Victoria Anand , Prabakaran G. ,   Assistant Professor, Department of Computer Science and Engineering, Annamalai University, India
Published: October 2019

Diatoms act an essential contributor to the fundamental creation in aquatic ecosystem, which is positioned at the foundation of the food chain. Presently, the diatoms appear as a most important topic over the globe in studies interrelated to weather changes, and in the design of functions which enables to model of those variations. In addition, it is an efficient indicator of ecological conditions and is widely employed in water quality assessment. In a similar way, deep learning model is a widely employed technique for classifying images among diverse applications. In this paper, an optimal segmentation and classification model for diatom images particularly species images. Here, edge detection based segmentation model is employed for segmenting the images and then Inception model is utilized for classifying images. A detailed simulation process takes place on the benchmark diatom images. An overall accuracy of 99 is attained by the presented model on the applied set of test images. The outcome is compared to the state of art classification models and the results exhibited the superior performance of the presented model.
Pathogenic Microorganisms in University Offices- Detection and Designing a Sustainable Organic Treatment
Authors:   Environmental Health & Safety Program, College of Health Sciences, Abu Dhabi University, UAE., Bani Mfarrej* Manar Fawzi , Gunaid Shaima Al ,   Environmental Health & Safety Program, College of Health Sciences, Abu Dhabi University, UAE., Nazir Asiya ,   Department of Applied Sciences and Mathematics, College of Arts and Sciences, Abu Dhabi University, UAE.
Published: October 2019

People in developed countries spend approximately 90% of their lives indoors, yet little is known about the source and diversity of microbes in built environments and pathogens are spreading everywhere especially in the offices. This research study aimed to identify the pathogenicity in Abu Dhabi University (ADU), Abu Dhabi campus, in addition to come up with an active organic treatment. The paper includes a review of some similar work done on the same issue, and it explains the methods of data and information collection. Sampling was conducted in ADU offices. Samples from keyboards, computer mouse, desks, and door handles were examined in order to identify the availability of pathogens. Based on the obtained results, a safe organic treatment was designed and tested as an alternative of the synthetic detergents used to clean offices. The proposed organic treatment had the capability to kill all pathogens in the tested samples including Salmonella and Escherichia coli (E. coli). The final proposed treatment is new, safe and 99.99% active.
Experimental & Mathematical Modeling and Analysis of Piezoelectric Energy Harvesting With Dynamic Periodic Loading
Authors:   Department of Applied Sciences, University Institute of Engineering & Technology, Maharshi Dayanand University Rohtak India., Yadav* Mohit , Yadav Dinesh ,   Department of Mechanical Engineering, Deenbandhu Chhotu Ram University, Murthal, India., Kumar Dr. Surendra ,   Department of Applied Sciences, University Institute of Engineering & Technology, Maharshi Dayanand University Rohtak India., Garg Dr. Ramesh Kumar ,   Department of Mechanical Engineering, Deenbandhu Chhotu Ram University, Murthal, India., Chhabra Dr. Deepak ,   Department of Mechanical Engineering, University Institute of Engineering & Technology, Maharshi Dayanand University Rohtak, India.
Published: October 2019

In this research work, an experimental model is developed to apply the dynamic periodic load on piezoelectric material for energy harvesting. The proposed setup is analyzed to calculate the energy harvested with circular piezo-patch with end supported boundary conditions. Piezo patch is connected with full bridge rectifier circuit under dynamic loading condition to calculate the output of the system. The proposed setup consists of a force sensor, a printed circuit board (P.C.B.) with calibration circuit, a LCD display unit, a stepper motor, a suitable power source and a robust mechanism to apply the dynamic periodic load. The input dynamic load can be varied by varying the height of the piezo-patch. Mathematical modeling of the proposed system has also been developed and successfully validated with experimental results. It is observed that the proposed setup and mathematical modeling accurately apply varying dynamic load and able to calculate the output of the system.
Design of a Floating Gate Synapse Simulation Model
Authors:   Assistant Professor (Senior grade), Electronics and Communication Department, Jaypee Institute of Information and Technology, A-10, Sector 62, NOIDA, UP, INDIA, Kapur Dr Garima
Published: October 2019

Proposing a simulation model of Floating-gate (FG) MOSFET whose characteristics when operated at sub-threshold conduction are like a synapse of brain. It can store, program, and adapt information (charge). The model consists of empirical equations and its parameter values have been extracted from fabricated results. The post fabrication programming of charge at the FG have been observed using two quantum-controlled processes (Fowler Northeim tunneling & hot electron injection) with the help of externally applied voltages, which in turn program FGMOS characteristics like threshold voltage, Vth. The programming is non-volatile and stable with changing temperature (4μV/°C) and noise. The Vth programming range is varied by more than 7V to 8V of its original value with very high bit (about 13-bit) of programming precision/resolution. The model layout/mask consume maximum of 130×90 μm2 of chip area and average power consumed by model is around 0.315mW. This verified FG simulation model can introduce the concept of on-chip tuning ability, programming ability, reconfiguring ability in precision analog signal processing designs like inductor, filters, controller circuits, voltage-controlled oscillators, etc. On adding adequate feedback mechanism to FGMOS model, it shows self-adaption of FG charge, which can be used to emulate features of a neuron/synapse in CMOS based neuromorphic circuits emulating several cognitive behaviors of human brain like Winner takes all circuits, circuits generating spikes (STDP), etc.
Qos-Aware Memetic-Based Optimal Cross-Layer Resource Allocation in Mixed Lte Networks
Authors:   Department.of Electronics and Communication Engineering, Bannari Amman Institute of Technology,, Moses* M. Leeban , Kaarthick B. ,   Department.of Electronics and Communication Engineering, Coimbatore Institute of Engineering and Technology,
Published: October 2019

With the recent advancements and due to the rapid growth of LTE networks, Machine Type Communication (MTC) plays a vital role in the characterization of Internet of Things (IOT).Human-to-Human (H2H) communication and MTC are the two different types of communication handled by LTE-A networks. Due to the co-existence of H2H communication and MTC in LTE-A networks, a serious challenge may arise for scheduling critical MTC with H2H communication networks. To maintain the Quality of Service (QoS) requirements for H2H communication and to provide data traffic for MTC networks LTE networks faces a serious challenge for allocating the resources blocks to the users. In this paper we propose a resource allocation algorithm for optimizing the problems faced by critical MTC and H2H communication networks by maintaining the QoS requirements from a cross-layer design perspective. A novel cross layer memtic based resource allocation algorithm is presented in this paper by investigating the resource allocation problem for different combinations of Channel Quality Indicator (CQI) modes for critical MTCDs and H2H UEs. The Performance and computational complexity of the proposed algorithm in different cases of CQI is measured in terms of cell throughput and probability of delay bound violation (PBDV) is analyzed and the simulations results shows that the proposed system is more efficient compared to other resource allocation algorithms.
Effect of Food Additives on Physical and Chemical Properties of Dietary Salt Free Bread
Authors:   Shakarim State University of Semey, Semey, Kazakhstan, Smolnikova Farida , Moldabayeva Zhanar ,   Shakarim State University of Semey, Semey, Kazakhstan, Kenijz Nadezhda ,   Kuban State Agrarian University, Krasnodar, Russian Federation, Burakovskaya Nina ,   Omsk State Technical University, Omsk, Russia, Shadrin Maxim ,   Omsk State Technical University, Omsk, Russia, Bykov Vladimir ,   K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russia;, Mnatsakanian Ashot ,   K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russia;, Sepiashvili Ekaterina ,   K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russia;, Grunina Aleksandra ,   K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russia;, Ponomareva Lilya ,   K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russia.
Published: October 2019

Advanced research direction for expanding the range of bakery products is the production of dietary salt-free bread, with the addition of food additives of plant and animal origin. This paper presents the formulation of dietary salt free bread. Flax seeds, pollen, curd whey and DVS Bifidus bacteria preparation are used in preparation of bread. The physical and chemical indicators and sensory profile of dietary salt free bread evaluated. Developed dietary salt free bread contains more protein (9.0 g/100g), carbohydrates (53.4 g/100g), fibers (7.0 g/100g) and minerals (2.5 g/100g) compared with traditional wheat bread.
Development of Innovative Technologies in Education
Authors:   Bashkir State University, Ufa, Russia., Khaibullin* Ainur Raufovich , Iusupov Rakhimian Galimianovich ,   Bashkir State University, Ufa, Russia., Ershov Vitaly F. ,   Moscow State Regional University, Moscow, Russia., Valeev Azat Salimianovich ,   Bashkir State University, Sibai Institute (branch), Sibai, Russia., Sitnova Inna Alekseevna ,   Bashkir State University, Sibai Institute (branch), Sibai, Russia
Published: October 2019

The problems of interaction between international organizations and universities correlate with a set of key problems in the theory of international relations because they are associated with the phenomena of globalization, regionalism, and multiculturalism. They also relate to the prospects for the influence of universal humanitarian and technological development ideas on the policies of individual countries and consolidated groups of states. The authors claim that the successful promotion of the European Union in harmonizing the common space of higher education and the demand for the European university model in other regions of the world, including in the post-Soviet space, is ruled by the combination of its universalism and tolerance with the concept of the diversity value in higher education.
Bond Graph Modelling and Simulation of Boost ZVS Quasiresonant DC-DC Power Converter
Authors:   Research Scholar, Department of Electrical Engineering, Jawaharlal Nehru Technological University, Anantapur, India., Vali* Shaik Hussain , Vulasala Ganesh ,   EEE department, JNTUA College of Engineering Pulivendula, India.
Published: October 2019

Here, a Boost Zero voltage switching (ZVS) Quasiresonant DC-DC power converter is modeled using bond graph modeling technique. The three important models of the converter which are large signal model, steady-state model and small signal AC bond graph models of the Boost ZVS Quasiresonant converter will be offered. The bond graph model is to be simulated in MATLAB/SIMULINK and the simulated waveforms are compared with that of PSIM simulated waveforms.
A Water Flow Algorithm Based Link Optimization in Common-Hop for Congestion Control in Wireless Mesh Networks
Authors:   Research scholar, Saveetha Institute of Medical and  Technical Science, Saveetha university, Sowmiya* M. , Nedunchelian R. ,   Professor and Head, Department of Computer  Science and Engineering, Karpaga Vinayaga College of Engineering and  Technology
Published: October 2019

One of the famous and popular networks is Wireless Mesh Networks (WMN), in which any node can communicate with any other node. Nodes in the WMN are called as mesh nodes, including multi-radios changed to non-overlapping channels for improving their capacities. Since mesh connection, data transmission between any two nodes is confused with selecting a link and bandwidth among pair of nodes dynamically. In the mesh network, any single node becomes a common-hop, can have multiple links from various sources nodes. When a greater number of data packet arrives into the common-hop, understanding and forwarding them is a critical issue and congestion occurs. In mesh network, obtaining a potential bandwidth route is also a critical task. The common-hop meets difficult in selecting a next hop based on the potential bandwidth, and forward the appropriate data packet. Due to the variations in packet arrival, common-hop meets congestion, flooding and jamming. To avoid this kind of problems in mesh network, this paper proposed Water Flow Algorithm (WFA) for optimizing the link and avoid congestion in mesh networks. The data packet flow from the source nodes is forward in the optimized links eliminates congestion. The proposed WFA optimization is simulated in MATLAB software and the results are compared with the existing algorithms for performance evaluation.