bluuebunny/crossref_metadata_2025 huggingface dataset:
Cloud-Based Interactive Hands free E-Learning Environment for Students with Disabilities
Authors:   Department of Computer Science, Prince Mohammad Bin Fahd University, Al-Khobar, KSA., Latif* Ghazanfar , Alzubaidi Loay ,   Department Computer Science, Prince Mohammad Bin Fahd University, Al-Khobar, KSA., Alghazo Jaafar M. ,   Department of Computer Engineering, Prince Mohammad Bin Fahd University, Al-Khobar, KSA., Zikria Mohammed ,   Department of Computer Science, Prince Mohammad Bin Fahd University, Al-Khobar, KSA.
Published: December 2019

In this study, cloud based innovative methods are introduced that allow users with motor skills impairments to access the customized learning platforms. The complete methodology relies on the development of existing technology originally developed for the Gaming Industry; Microsoft Xbox Kinect Sensor. A novel learning platform is developed for teaching students with motor skills impairments and other types of disabilities to learn Quran Recitation. The platform is integrated with a modified Kinect that allows users to access the computer software without the use of a traditional keyboard and mouse. The Kinect then acts as the interface between the uses and software. The system is designed based on the two approaches; hand-free operations via head motion and voice recognition to control the selection of items in the learning platform. For voice recognition, a dataset has also been built for training and initial testing for supervised learning. Extensive tests have been performed that proved the success of the system. This novel methodology provides a research platform for those interested in enabling students with motor skill impairments and students with disabilities in general.
Characterizing the Effects of Pore Pressure Reduction and Voids using X-ray CT Scan towards Physical Changes due to Static Loading
Authors:   Faculty of Engineering, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia., Mohamad* Habib Musa , Zainorabidin Adnan ,   Faculty of Civil and Environmental Engineering, Universiti Tun Hussein Onn Malaysia (UTHM), 86400 Parit Raja, Batu Pahat, Johor, Malaysia, Azhari Azura ,   Faculty of Civil and Environmental Engineering, Universiti Tun Hussein Onn Malaysia (UTHM), 86400 Parit Raja, Batu Pahat, Johor, Malaysia., Engku Ab Rahman Engku Shahrulerizal ,   Faculty of Civil and Environmental Engineering, Universiti Tun Hussein Onn Malaysia (UTHM), 86400 Parit Raja, Batu Pahat, Johor, Malaysia.
Published: December 2019

Peat soil is widely known as soil with very low compressive strength and poor in shear strength. When loaded, it is easy to deform and visually witnessed. To understand the vital means to study the characteristic of this rupture soil material, which is of great significance in determination of soil shear strength involving peat soil settlement where pore and voids diminished when loaded especially for embankment prediction. On this basis, static triaxial test has been carried out to simulate the loading phase while pore and void elements inspected through 2D X-ray CT scan. Through the process, peat and the relationship between loading, pore and physical changes are monitored. Measurements were performed on consolidated undrained condition with strain-controlled method under monotonic loading. The 2D X-ray CT scan pattern of the sample deformation was imaged before and after loading process. Sample height is 100 mm and diameter 50 mm in cylindrical shape. Physical changes are visualized, and the data showed that, pore and voids diminished by loading factor, leading pore pressure decrease with increase of effective pressure. Pore pressure developed down-trend characteristic. From the result, there is no volume change are disclosed when loaded. From 2D CT-scan shows that, the pore between peat particles diminished in volume after static loading and parallel to static loading process.
Double Precision Floating Point Fft Processor using Vedic Mathematics
Authors:   Professor School of Electronics Engineering, VIT University, Vellore-632014, Tamil Nadu, India, R Anitha
Published: December 2019

There should be rapid, efficient and simple process for every scenario now a day. To compute the N point DFT, Fast Fourier Transform (FFT) is a productive algorithm. It has great applications in communication, signal and image processing and instrumentation. In the implementation of FFT one of the challenges is the complex multiplications, so to make this process rapid and simple it’s necessary for a multiplier to be fast and power efficient. To tackle this problem Karatsuba sutra and Nikhilam sutra are an efficient method of multiplication in Vedic Mathematics. This paper will present a design methodology of Double Precision Floating Point Fast Fourier Transform (FFT) Processor.The execution time and complexity can be reduced by the algorithm which is there in Vedic.The main aim is to make FFT Processor process rapid and simple by designing a multiplier which is fast and power efficient by using double precision floating point and Vedic Mathematics concepts.
Mediative Multi-Criteria Decision Support System for Various Alternatives Based on Fuzzy Logic
Authors:   Associate professor, Department of Mathematics, Chaudhary Charan Singh University, Meerut, India, Sharma* M. K. , Dhiman Nitesh ,   Research Scholar, Department of Mathematics, Chaudhary Charan Singh University, Meerut, India
Published: December 2019

Present research paper, deals with a new method for solving multi-criteria decision-making problems, in an environment where conflict of interest exits. In this present paper we have defined the Mediative fuzzy point operators. By using Mediative fuzzy logic and Mediative fuzzy point operators we have established some new generalized mathematical results of Intuitionistic fuzzy logic theory in the form of Mediative fuzzy logic theory. Second, we have applied these results to multi-criteria for making it into Mediative multi-criteria for decision support system where multiple alternatives and various criteria’s exits. Numerical examples have also been carried out to prove the effectiveness and advantages of this paper.
Optimization of Foreign Exchange using Kelly Criteria Model
Authors:   Master Program in Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Jl. Raya Bandung-Sumedang Km 21, Jatinangor 45363, Sumedang, West Java, INDONESIA., Ningsih* Evi Sulfiah , Sukono  ,   Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Jl. Raya Bandung-Sumedang Km 21, Jatinangor 45363, Sumedang, West Java, INDONESIA., Rusyam Endang ,   Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Jl. Raya Bandung-Sumedang Km 21, Jatinangor 45363, Sumedang, West Java, INDONESIA.
Published: December 2019

This research is expected to be able to analyze the foreign exchange assets of investors by using Kelly criteria optimally, so that investors can obtain the expected benefits with minimal risk. The analysis used in this study is quantitative with the following steps: (i) determine the value of foreign exchange asset returns, (ii) determine the variance of foreign exchange assets, (iii) determine the optimal portfolio using Kelly criteria. The results of the analysis obtained weight allocation that provides return and risk to the portfolio that has been formed optimally. EUR is the most optimal portfolio with a weighting of 63% of the five foreign currencies invested. The results of this study can be used as a consideration for investors in loading the right investment decisions.
Heavy Machinery Condition and Risk Monitoring System for Industrial Automation
Authors:   B.Tech. (ECE) III Year Student, School of Electronics Engineering, Vellore Institute of Technology (VIT) Chennai Tamil Nadu 600127, India, Kansal* Apoorv , Gupta Manan ,   B.Tech. (ECE) III Year Student, School of Electronics Engineering, Vellore Institute of Technology (VIT) Chennai, Tamil Nadu 600127, India, Setia Garima ,   B.Tech. (ECE) III Year Student, School of Electronics Engineering Vellore Institute of Technology (VIT) Chennai, Tamil Nadu 600127, India, Jagannath Mohan ,   Associate Professor, School of Electronics Engineering Vellore Institute of Technology (VIT) Chennai, Tamil Nadu 600127, India, Jagannath Dr.Mohan ,   Associate Professor, School of Electronics Engineering, Vellore Institute of Technology (VIT) Chennai, Tamil Nadu 600127, India
Published: December 2019

This paper provides the design, implementation and analysis of heavy machinery condition and risk monitoring system which makes the machines more durable and effective by decreasing the damage caused to it due to excessive heating and detecting the risk of machine breakdown beforehand by monitoring the machine parameters. A webpage is created which serves as a handy tool for the workers and the admin to continuously monitor the load on which machine is working, its current temperature its current temperature and other parameters. It also provides the user an option to run the machine in automatic mode in which the load on the machine is varied according to its current temperature and also provide a cooling mechanism which gets activated when the machine temperature goes beyond a particular point and works more effectively as the temperature of the machine increases.
Practical Fall Detection System using Vision and Wearable sensors
Authors:   School of Electronics Engineering, Vellore Institute of Technology, Vellore, India., CM Vidhyapathi , S* Sundar ,   School of Electronics Engineering, Vellore Institute of Technology, Vellore, India.
Published: December 2019

Fall detection is an important and challenging research problem in healthcare domain. The fall detection system required to operate and give true alert in real time. Many of the existing approaches generates false fall alert which again causes inconvenience for the end users. Hence, there is a need to have robust and accurate fall detection approach with low latency in decision making. In this work, we have proposed and evaluated three different approaches of fall detection system based on a wireless accelerometer based embedded system, RGB Image processing based Software modelling approach and Kinect based depth processing approach. These proposed approaches try to improve on the mentioned drawbacks until we obtain a robust, running in real-time system with high accuracy and low processing time. In all of the demonstrated methods, we do not require any knowledge of the scene and computationally intensive classifiers. The accelerometer based embedded system consists of economic components and is easy to setup. RGB Image processing based Software modelling is simulated on MATLAB have been extensively researched and implemented in real-time. Kinect based depth based techniques are the most recent advancement on the issue and have resolved many discrepancies of the previous methods. The performance of each method is compared against each other. It is shown that our Kinect based depth processing provides promising accuracy of 94% which is better than the other approaches while simultaneously working in real time of 30 frames/second.
Implementation of Smart Home using Wi-Fi to IR through MQTT
Authors:   pursuing Masters in Embedded Systems, Department of ECE, VNR VJIET,Hyderabad,India., Shivaraj* K , Srinivas K Kalyana ,   Asst Professor, Department of ECE, VNR VJIET, Hyderabad, India., Reddy P Sampath ,   Embedded Engineer at Blaze Automation Services Pvt Ltd.,Hyderabad, India.
Published: December 2019

As there is an advancement in wireless communication there is a wide development in embedding all the devices together and controlling them through a single device. Home automation is a smart system that has been becoming more popular in the present era, where all the devices related to the home are controlled remotely through a Smart Hub. The aim of the project is to develop a Smart Hub and to control multiple IR devices through a Smart Hub using Wi-Fi to IR through MQTT, because it is inconvenient to use multiple remotes for multiple IR devices. Smart Hub consists of peripherals ESP-WROOM-32D (Microcontroller), RT400, IR transmitter, IR receiver, LDR(Light Dependent Resistor) and LM35 as Temperature sensor. All the controlling of these integrated devices can be controlled through a smart phone or tablet. This technology uses ESP-WROOM-32D and web server using mobile phone or tablet having a specific application, one can control the smart system from anywhere or with in a home remotely. This paper describes about the automation of home for a specific electronic devices having IR Transceiver like Television, Air conditioner, Dish box, DVD player and many more. This paper also describes how MQTT protocol is used for the implementation of the present prototype using ESP-WROOM-32D. The other scenario is when we don’t have the IR Transceiver devices like light, fan etc and the devices which are manually operated through electrical switches also can be controlled through IR Transceiver, Arduino and Relays.
Performance Analysis of TRIAC and MPWM of AC Voltage Controller Fed Capacitor Run Induction Motor
Authors:   Electrical Engineering department, Nizwa College of Technology, Nizwa, Oman., Murali* Dr.N. , Mohan Mr.Gobi ,   Electrical Engineering department, Nizwa College of Technology, Nizwa, Oman.
Published: December 2019

Single phase capacitor run induction motor is necessary to operate meritoriously and enhance the power quality. AC voltage controller is utilized effectively for controlling the speed of the motor. It employs conventional TRIAC and sinusoidal pulse width modulation control. The performance parameters are total harmonic distortion, input power factor and efficiency are the main concern. The comparative analysis of the two methods was simulated using MATLAB Simulink platform. Speed control of capacitor run induction motor used in domestic and industrial applications.
Weighted Deep Neural Network Based Clinical Decision Support System for the Determination of Fetal Health
Authors:   Faculty, department of computer science (PG) at PSGR Krishnammal college for Women, Coimbatore., Vani* R.
Published: December 2019

Healthcare industry is undergoing changes at a tremendous rate due to healthcare innovations. Predictive analytics is increasingly being used to diagnose the patient’s ailments and provide actionable insights into already existing healthcare data. The paper looks at a decision support system for determining the health status of the foetus from cardiotographic data using deep learning neural networks. The foetal health records are classified as normal, suspect and pathological. As the multiclass cardiotographic datset of the foetus shows a high degree of imbalance a weighted deep neural network is applied. To overcome the accuracy paradox due to the multiclass imbalance, relevant metrics such as the sensitivity, specificity, F1 Score and Gmean are used to measure the performance of the classifier rather than accuracy. The metrics are applied to the individual classes to ensure that the positive cases are identified correctly. The weighted DNN based classifier is able to classify the positive instances with Gmean score of 91% which is better than than the SVM classifier.
An Intelligent Faculty Tracking and Attendance Marking System using Machine Learning
Authors:   Assistant Professor, Department of Computer Science and Engineering, Providence College of Engineering, Chengannur, India., R L* Hariharan , Aby Elza Susan ,   UG Scholar, Department of Computer Science and Engineering, Providence College of Engineering, Chengannur, Kerala, India, Joe Abin Alex ,   UG Scholar, Department of Computer Science and Engineering, Providence College of Engineering, Chengannur, Kerala, India., K S Reshmi ,   UG Scholar, Department of Computer Science and Engineering, Providence College of Engineering, Chengannur, Kerala, India., Varughese Jicku Philip ,   UG Scholar, Department of Computer Science and Engineering, Providence College of Engineering, Chengannur, Kerala, India.
Published: December 2019

In the current era, machine learning and IoT have grown vastly and is one of the most important technologies used today. It has various applications like automated systems, driverless cars, fire alarming system, etc. In this project we are going to implement an intelligent attendance marking system and how to track a faculty in school/college using face detection, i.e., by using machine learning algorithm for attendance marking and using RFID, IP camera, GPS technology for tracking the location of the faculty in the school/college. This system consists of two modules of operations. The first module is the attendance marking module and the second module is tracking the location. This system checks for the location of the faculty when the user enters the name to be searched in the app. The system first checks for the faculty in closed areas like the classroom, canteen, library, etc. and then open areas like the ground, parking area, etc. If the faculty’s location is not identified then the system checks the attendance data and informs whether the faculty is absent or not to the user. This methodology has many future scopes. If the machine contains precise data it becomes less time-consuming, it can improve its accuracy and produce exact results and it can reduce the human effort. It can replace the biometric system for attendance marking.
Fuzzy Eulerian and Fuzzy Hamiltonian Graphs with Their Applications
Authors:   Scholar, Koneru Lakshmaiah Education Foundation , Vaddeswaram, Guntur, Andhra Pradesh, India and Lecturer, Department of Mathematics , Andhra Loyola Institute of Engineering and Technology, Vijayawada, Andhra Pradesh, India., Muneera Abdul. , Rao T. Nageswara ,   Dept of Mathematics , Koneru Lakshmaiah Education Foundation , Vaddeswaram, Guntur, Andhra Pradesh, India., Rao R.V.N.Srinivas ,   Department of Mathematics, Wollega University Ethopia.
Published: December 2019

In this article we discussed prominence of Fuzzy Eulerian and Fuzzy Hamiltonian graphs. Fuzzy logic is introduced to study the uncertainty of the event. In Fuzzy set theory we assign a membership value to each element of the set which ranges from 0 to 1. The earnest efforts of the researchers are perceivable in the relevant establishment of the subject integrating coherent practicality and reality. Fuzzy graphs found an escalating number of applications in day to day life system where the information intrinsic in the system varies with different levels of accuracy. In this article we initiated the model of fuzzy Euler graphs (FEG) and also fuzzy Hamiltonian graphs (FHG). We explored about fuzzy walk, fuzzy path, fuzzy bridge, fuzzy cut node, fuzzy tree, fuzzy blocks, fuzzy Eulerian circuit and fuzzy Hamiltonian cycle. Here we studied some applications of Fuzzy Eulerian graphs and fuzzy Hamiltonian graphs in real life.
Impact of Judicial Doctrine and Geo Spatial Technologies in Refinement of Environmental Impact Assessment Laws and Policies in India
Authors:   Professor, Faculty of Law, Aligarh Muslim University, Aligarh-202001(U.P./India), Nomani* Z.M. , Wani Mudassir Rasool ,   Assistant Professor, School of Law, Kashmir University, Srinagr (J&KUTs), Tahreem Madiha ,   Senior Secondary School (Girls), Aligarh Muslim University, Aligarh
Published: December 2019

Environmental Impact Assessment (EIA) provides the perspective of strategic rebuilding of environment and sustainable development. The Constitution of India, 1950; Environment Protection Act, 1986 and EIA Notification, 2006 endeavours to protect and improve environment by envisaging environmental clearance of projects on the basis of environmental assessment report (EAR), environmental management plan (EMP), and public hearing. The social and strategic impact assessment (SIA) in EIA law in India is in constant experimentations at judicial, technological and procedural refinements. However the population growth, urbanization and alteration in land use pattern necessitated for application of geospatial technologies viz; remote sensing, Geographical Information Systems (GIS), and Global Positioning Systems (GPS) and Habitat Suitability (HS) models are employed for EIA process. The paper synthesizes the need for judicial and technological refinements in making EIA laws and governance an effective tool for sustainable development and equity in India.
Design and Implementation of Loan Management System using ISI Server, PhP and MySql
Authors:   Department of Computer Science, Jouf University, Sakaka, Al-Jouf, KSA, Kamruzzaman* M.M.
Published: December 2019

Credit institutions are critical organizations whose role in society and modern economy is very important for issuing loan to individuals, businesses and other organizations. Before such institutions came to the scene, there was no secure place for individuals and businesses to get credit, which caused a lot of chaos. The proposed loan management system brings various loan portfolios on one platform to assist the atomization of servicing and management of such credit institutions. Branches of credit institutions are connected with the loan management system. If client provides all required information and submit all required documents, the loan underwriter will verify and approve the loan from the system. The proposed system will automatically inform to the applicant with required information for proceeding. Loan underwriter can manage and monitor multiple loan portfolios from multiple locations through a single platform starting from prospecting to closure. The proposed system also simplifies the decision making processes. The architecture of loan management system using ISI Server, PhP and MySql is proposed in this work. The suggested architecture consists of four primary components: Clients, internet link, server, and branches of credit institutions. Clients can register, apply and trace their loan through online via desktop, laptop, and portable tablet or mobile. A dependable and safe server is taken into account to actualize the framework. In addition, reliability and security problems considered for designing the system are stated here. Some portion of the suggested architecture is currently being implemented and tested that is also outlined in this paper.
Development of Parameters of A Gear Spring Harrow by Planning An Experiment
Authors:   department of operation machine and tractor park, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia., Maslov* Gennady , Palapin Alexey ,   department of processes and machines in agribusiness, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia., Tsybulevsky Valery ,   department of tractors, cars and technical mechanics, Kuban State Agrarian University named after I.T. Trubilin., Lavrentiev Valery ,   Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia., Yudina Elena ,   department of operation machine and tractor park, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia.
Published: December 2019

The article presents a method for developing parameters and operating modes of a gear spring harrow using a three-factor experiment of the Bk plan. The regression equation of the machine’s working process, its optimal value (specific traction resistance 432.8 N, angle of inclination of the teeth of the harrow 61.9 degrees, angle of grinding of the tooth 20.98 degrees) and operating parameters (operating speed of the unit 11.7 km / h). The dependences of the response function (specific traction resistance of the tooth-spring harrow) on its parameters and operating modes are represented by mini-max. Hypersurface plots. To determine the nature of the response surface in canonical form near the optimum, two-dimensional sections of its surface are constructed with a family of conjugated isolines, with the help of which the interaction of factors is studied.
Mining on Social Media Data: To Determine the Personality of Unrevealed Person
Authors:   Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh – 522502, India., V* Deepak. , Teja M. Bhargava ,   Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh – 522502, India., Sravani V. ,   Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh – 522502, India., Raghava K. Venkata ,   Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh – 522502, India.
Published: December 2019

The unavoidable utilization of online networking like Facebook is giving exceptional measures of social information. Information mining methods have been broadly used to separate learning from such information. The character of the person is predicted whether he is good or not by using data mining techniques from user self-made data. Mining methods are being broadly using to separate learning from such information, main examples for them are network discovery and slant investigation. Notwithstanding, there is still a lot of room to investigate as far as the occasion information (i.e., occasions with timestamps, for example, posting an inquiry, altering an article in Wikipedia, and remarking on a tweet. These occasions react users' personal conduct standards and working forms in the social media websites.
Static Synchronous Series Compensator (SSSC) for Series Compensation of Transmission Line using Flying Capacitor Multilevel Inverter (FCMLI)
Authors:   School of Electrical Engineering, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India., Senapati* Rudranarayan , Sharma Priyansha ,   School of Electrical Engineering, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India., Senapati Rajendra Narayan ,   Bhubaneswar, India.
Published: December 2019

This paper deals with Five-Level Flying Capacitor Multilevel Inverter (FCMLI) based Static Synchronous Series Compensator (SSSC) as used for the series compensation of transmission line. Here, voltage is injected in series with the transmission line. It is preferred to other compensating devices because apart from controlling the active and reactive power flow, it helps to damp out unwanted oscillations, such as reducing the Sub-Synchronous Resonance (SSR), Ferro-resonance and thus helps in improving the Power Quality (PQ). Hence, FCMLI is used which helps to ameliorate the output waveform and reduces the auxiliary filtering requirements. Moreover, the control logic for the inverter that has been shown in such a way that voltage stress across each capacitor connected to DC-link voltage is equal. The control logic has been implemented in MATLAB/Simulink environment and the result is shown as there are no SSR phenomena and considerable less line loss.
Public Perception on Group Behaviour in an Organisation
Authors:   BBA LLB(Hons.), Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences (SIMATS), Tamilnadu, India., Vinoditha* N.C. , B Dr. Sreeya ,   Associate Professor, Department of Management Studies, Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences (SIMATS), Tamilnadu, India.
Published: December 2019

Group is an arrangement of individuals who have similar interests or aims , who organise themselves to work or act together .Behaviour is the manner in which an animal or an individual behaves in response to a particular circumstances or stimulus. . Group behaviour tends to follow the norms of the organisations and rules which are that the employees are expected to be disciplined, follow the orders and work towards the requirements and necessities of the organisation rather than their own whims and fancies. Group behaviour is emanated by the cause that is contributed by group effectiveness. Many researches were conducted and it is held that people moving in groups are more effective and learn more than in individual. For this research, an empirical study was carried out. The data was collected from 1850 respondents. Several statistical tools were used for the research such as chi-square, independent sample t test and ANOVA. The dependent variables are Comfortableness to work, Helping the teammates and aspects of group behaviour. The independent variables are age, gender and educational qualifications. The result of the study were that there is significant difference between Comfortableness to work and gender , there is significant association between Helping the teammates and age and there is significant difference in the mean scores level of agreeability towards the aspect of group behaviour such as communication , task management ,tolerance, work allotment and involvement among the educational Qualification groups.
Public Opinion on Caste Discrimination in Higher Education
Authors:   B.A. LLB(HONS), Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, Tamilnadu, India., V* Pooja. , B Dr. Sreeya ,   Assistant Professor, Department of Management Studies, Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, Tamilnadu, India.
Published: December 2019

The division of a general public into castes is a worldwide wonder not solely honed inside a specific religion or conviction framework. In South Asia, caste discrimination is generally established in the Hindu caste framework, as per which Dalits are considered 'pariahs'. Most Dalit understudies who go to a college are original students. The main objective of the study is to understand the caste discrimination in higher education with special reference to Chennai, and to identify the difference between caste discrimination in one’s educational life. Descriptive research is used and convenience sampling method is used to collect the samples. The statistical tools used here is ANOVA, independent sample t test, and chi-square. The sample size is 1860. The paper concludes that more awareness is needed among the public about the abolition of caste discrimination in higher education.
Customer Claims in Automobile Spare Parts Industry – A 3PL Perspective
Authors:   Research Scholar, Nehru College of Management, Coimbatore, Tamil Nadu, India., Sundarprasad R , Muthukumar E. ,   Professor, Nehru College of Management, Coimbatore, Tamil Nadu, India.
Published: December 2019

Automobile OEM (Original Equipment Manufacturer) has two key lines of business. One being the main equipment sales and the other being spare parts associated to the original equipment. This line of business is either called as After Sales Market / After Market / Spares Market. As part of wear and tear of spare parts of original equipment service and replacement of spare parts comes into picture. A 3PL organization is selected by OEMs to manage their after sales service. Primary responsibilities of a 3PL includes warehouse management where the spare parts of OEMs are received, stored, order processed and delivered to OEM’s end customers. Hence, 3PL companies have major share in ensuring accurate delivery of spare parts to OEM’s end customers. Any wrong or shortage or excess delivery (which is termed as Customer Claims) impacts the customer satisfaction level and adds up logistics cost to both 3PL organization and OEM. This paper aims at evaluating the core reasons behind customer claims. In completing this research, the population selected for study is from 3 leading automobile OEMs and 1,00,000 samples. The results have shown that the key drivers of customer claims are due to stock management in warehouse managed by 3PL organization in following areas of operation.  Inbound (Gate entry of vehicles, Unloading, Physical verification of unloaded stock, Physical putaway of parts in warehouse storage locations)  Outbound (Customer order registration, Picking instructions from the sales order processing system, Physical picking of parts, Packaging of picked parts, Despatch and Delivery at customer end) In the above-mentioned key process areas ERP (Enterprise Resource Planning) application or WMS (Warehouse Management System) or Inventory Management application plays a significant role in avoiding or minimizing customer claims. Apart from applications and Information Technology systems, skill of staff and operatives, discipline of operatives, system controls influence extensively in customer claims to be generated. Background/Objective: To investigate deeper into causes that impact customer claims from 3PL service provider view. Methods / Statistical analysis: The results are based on about 1,00,000 samples for a periodicity of 6 years from 3 major automobile industry linked 3PL organization. Results/findings: The claim samples showed significantly higher due to pick issues ~ 41.7% and wrong labelling issues ~ 42.34%. Other reasons contribute about 15.96% Conclusion: The analysis offers a clear distribution of root causes in the collected samples.
Creation of a New Generation of Teaching Literature - A Requirement of Modernity
Authors:   Teacher of Chirchiq state Pedagogical institute of Tashkent region, K.R.* Mamadaliev , O.M. Jabborova ,   Teacher of Chirchiq state Pedagogical institute of Tashkent region, Z.A. Umarova ,   Teacher of Chirchiq state Pedagogical institute of Tashkent region, B.P. Abdullayeva ,   Teacher of Chirchiq state Pedagogical institute of Tashkent region
Published: December 2019

The article is devoted to creation of a new generation of teaching literature, in which the actuality of creation of a new generation of teaching literature, the modern teaching book and its creation as a essential requirement of the modernity, didactic requirements for creation of a new generation of teaching and teaching methodical literature and mechanisms of their creation, criterion and indicators of estimation of quality of teaching and teaching methodical literature, creation of a new generation of teaching literature for newly instituted directions of education
Performance Evaluation of Pseudo Code with Weka for Accuracy Calculation
Authors:   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Potti* Swaroop , Yalla Dr. Prasanth ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Mandhala Venkata Naresh ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Pathuri Saivardhan ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., B Subbaraju. ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India.
Published: December 2019

Programming testing is a fundamental and essential advance of the existence cycle of programming improvement to recognize and defects in programming and afterward fix the deficiencies. The reliability of the data transmission or the quality of proper processing ,maintenance and retrieval of information to a server can be tested for some systems. Accuracy is also one factor that is usually used to the Joint Interoperability Test Command as a criterion for accessing interoperability. This is the main investigation of PC flaw forecast and exactness as per our examination, which spotlights on the utilization of PROMISE database dataset. Some PROMISE database dataset tests are compared between pseudo code (PYTHON) and actual software (WEKA),which in computer fault prediction and accuracy measurement are effective software metrics and machine learning methods.
Cost Estimate Model for Software Projects using GREYWOLF Algorithm and COCOMO Model
Authors:   Department of Computer Science and Engineering,Koneru Lakshmaiah , Education Foundation, Guntur, Vaddeswaram, A.P., India., Mohan G* Krishna , Babu J Satish ,   Department of Computer Science and Engineering,Koneru Lakshmaiah Education Foundation, Guntur, Vaddeswaram, A.P., India., Mandhala Venkata Naresh ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur, Vaddeswaram, A.P., India., V Gayatri ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur, Vaddeswaram, A.P., India., Gupta G Chaitanya ,   Department of Computer Science and Engineering,Koneru Lakshmaiah Education Foundation, Guntur, Vaddeswaram, A.P., India., Vamsi N Krishna ,   Department of Computer Science and Engineering,Koneru Lakshmaiah Education Foundation, Guntur, Vaddeswaram, A.P., India.
Published: December 2019

Cost estimation analysis for the software system project is the foremost difficult tasks in software organizations. In this paper, a comparison between an estimate and actual effort was done by applying the grey wolf’s algorithm to predict the effort and time of this software system for a given archive. The intermediate semi-detached COCOMO model was used with the grey wolf’s algorithm by taking the KLOC of the dataset as input, additionally to fifteen cost drivers and giving effort and time as output. The recommended model of the cost estimation helps the project manager by offering a fast and truly estimates the hassle and time of software system project which is nearer to the actual cost.
Trusted and Protection of Exemplary Eventualities of Threats against Privileged Data Secrets across Sleepwake Cycles in Personal Computers
Authors:   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Tulasi* K. , Krishna Ch.Anand ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India, Sachin M.D.Ajay ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Kiran Dr.K.V.D. ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Mandhala Venkata Naresh ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India.
Published: December 2019

Our paper notices that with a high probability the computer faced with physical attacks can be in a suspended mode. We have more interest in addressing a series of existing and plausible threats to cyber security where the opponent possesses unconventional attack capabilities. Such unconventionality includes, in our exploration t but not restricted to, crowd sourcing, physical coercion, substantial machine resources, malicious insiders, etc. Throughout this paper, we have a tendency to tend to demonstrate but our philosophy is applied to affect several exemplary eventualities of unconventional threats, and elaborate on the model systems data secrets across sleepwake cycles. Most PCs, particularly laptops, remain in rest suspend to RAM, when not in dynamic use. A vital inspect for unattended PCs in rest is that the nearness of client insider facts in framework memory. An aggressor with material approach of a computer in rest will launch side vein memory attacks, by handling liable device drivers; regular mitigations include like bugs etc. A sophisticated assailant can likewise fall back on chilly boot assaults by handling DRAM memory impact. Hypnoguard2 protects in RAM information once a laptop is in sleep simply just in case of assorted memory attacks ecosystem for every desktop and mobile platforms, the appliance of reliable computing still remains rare or exclusively by certain manufacturers. In reality, a way larger issue is that the inspiration of trust is sometimes a combination, this becomes a significant barrier for the tutorial analysis due to lack of access to hardware primitives or public documentation. We believe the high level methodology of these research topics can contribute to advancing the security research under strong adversarial assumptions, and the promotion of software hardware orchestration in protecting execution integrity therein.
Aerostatic Way of Harvesting High Altitude Wind Energy
Authors:   Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Rajasekhar* S , Kumar G R S Naga ,   Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Pravallika  ,   Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Kumari Anjana ,   Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India.
Published: December 2019

Renewable energy system in electrical power generation is one of important field of electrical engineering due to its source is natural, reusable and environmental pollution free and cost free. There are renewable energies such as wind, solar and so on. The wind is a free, clean, and inexhaustible energy source. It has served mankind well for many centuries by propelling ships and driving wind turbines to pump water. It has become one of the most attractive energy system in several decades due to rich availability. The important proposed contribution in this work is to enhance the efficiency of renewable energy using AEROSTATIC WAY OF HARVESTING WIND ENERGY that allows turbines to capture as much as possible wind by increase in the altitude at which is the turbine is placed. Which is done by attaching the turbine to aerostat and the aim of the study is to extract maximum energy of the turbine and transmit it to grid, storage device with suitable converters and controllers.
An Efficient Implementation of Fair Evaluation for Lightweight Block Ciphers
Authors:   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Sai* P.Manikanta , Reddy B. Vishnu Vardhan ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Kiran Dr.K.V.D. ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Mandhala Venkata Naresh ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India.
Published: December 2019

This paper is dedicated on economical and safe accomplishment of lightweight cruciform scientific discipline primordial for reserve guarded devices like wireless sensors and actuators that are usually organize in distant locality. During this setting, scientific discipline algorithms should consume few machine resources and face up to an oversized sort of attacks, as well as side channel attacks. The foremost part of this paper cares with economical software package implementations of lightweight cruciform algorithms on eight, 16, and 32 bit microcontrollers. a primary contribution of this half is that the development of FELICS, benchmarking framework that facilitates the extraction of comparative performance Tables from implementations of lightweight ciphers. mistreatment FELICS, we tend to conducted a good analysis of the implementation properties of five light weight block ciphers within the context of completely different usage situations, that are representatives for common security services within the web of Things (IoT). This study provides new insights into the link between the structure of a scientific discipline formula and therefore the performance it are able to do on embedded microcontrollers. The contributions of this half are considerably valuable for designers of mildweight ciphers, software bundle and protection engineers, moreover as standardization businesses.
Penalty Based Reliable Cooperative Intrusion Detection System for Mobile Adhoc Network Environment
Authors:   Research Scholar, CSE Department, JNTUK, Kakinada, India., Yannam* Adilakshmi , Prasad Dr.G.V.S.N.R.V. ,   CSE Gudlavalleru Engineering College, Gudlavalleru, India.
Published: December 2019

Intrusion detection is the process of finding the malicious behaviour happening in the network to enhance the network performance. This is the most focused research by various researchers to ensure the secured network to the users for increasing their satisfaction level. This is achieved in the previous work by introducing the method namely Cooperative intrusion detection system (CIDS). However this research method doesn’t focus on selfish node presence which might affect the overall intrusion detection process. There is a chance of that monitoring node also can act as selfish node. This is resolved in the proposed work by introducing the method namely Penalty based Reliable Cooperative Intrusion Detection System (PR-CIDS). In this work, initially monitoring nodes are selected optimally by using modified artificial bee colony algorithm through which intrusion detection will be performed. Here intrusion detection is performed based on variation in the forwarded traffic. In order to avoid the selfish node presence, in this work unique secret keys are generated for each monitoring node by using which intrusion decision will be encrypted and then send to the third party node. Here third party node will authenticate the node and then will utilize the intrusion information to make the final decision. Third party node plays more important role in making the intrusion decision. Thus the most suitable third party node is selected by using Hybrid Ant colony with Genetic method. Based on this decision, penalty will be assigned to the selfish monitoring nodes. The overall evaluation of the research work is done in the NS2 simulation environment to prove their performance improvement.
Smartphone Based Language Learning through Mobile Apps
Authors:   Department of English, SRM University Sikkim, India., Sharma* Sonal
Published: December 2019

Mobile technology signifies an innovative approach to the modern education in the present times. In this era smartphones have been integrated into learning system by having different user friendly applications (APPs). The wide range of availability of smart phones connected to mobile network and the occurrence of APPs developed for the educational purposes provide us with the possibility and feasibility of mobile teaching and learning that turn out to be a boon in the educational sector nowadays. The wide-ranging use of Smartphones and different user-friendly gadgets has transformed the outmoded techniques of teaching and learning process entirely. Consequently the students are finding it more practical to understand through such devices reinforced by internet. This extensive usage of smartphones has given birth to loads of mobile application in Language teaching especially English. Abundant apps are available for language learners to refer through easy access to the internet to enhance their communication skills. Through such apps learning materials can be easily accessed and transferred due to the transportability and user-friendliness of such portable devices. The main objective of this paper is to identify the effectiveness of learning LSRW skills through mobile technology and to classify apps based on the learners’ level. The study also discusses the plan, technique, theory and instructive features that support the various mobile apps. Various apps are developed to increase the effectiveness of the communication skills of the learners wherein the prime emphasis is to be laid on the enhancing of basic communication skills such as listening, speaking, reading and writing skills with the help of Mobile phones.