bluuebunny/crossref_metadata_2025 huggingface dataset:
A SERVPERF Based DEMING’S PDCA Mechanism for Quality Improvement of Management Educational Institutions
Authors:   Associate Professor, Department of Statistics, Periyar University, Tamilnadu, India, Rita S. , Kavitha S. ,   Assistant Professor, Department of Statistics, Periyar University, Tamilnadu, India., Palanivel R.M. ,   Assistant Professor, Quality Measurement and Evaluation Department, Deanship of Quality and Academic Accreditation, Imam Abdulrahman Bin Faisal University, P. O. Box 1982, Dammam 31441, Saudi Arabia., Sivasankar P. ,   Lecturer, Quality Measurement and Evaluation Department, Deanship of Quality and Academic Accreditation, Imam Abdulrahman Bin Faisal University, P. O. Box 1982, Dammam 31441, Saudi Arabia., Vinoth* R. ,   Assistant Professor, Quality Measurement and Evaluation Department, Deanship of Quality and Academic Accreditation, Imam Abdulrahman Bin Faisal University, P. O. Box 1982, Dammam 31441, Saudi Arabia.
Published: January 2020

There are serious quality issues with higher education in developing countries. To change this situation and to accomplish appropriate quality it is essential to implement drastic techniques. Management Educational Institutions (MEI) needs to understand the customer centric philosophy. The application of Service Performance (SERVPERF) to measure quality performance providing service through institutions, also finding characteristics and quality components that meet the requirements of student as a customer of the system. The reliability and factor loading of 21 factors seen. Regression, correlation and anova also been tested. In MEI, the students are consumers of the services provided by the institution. Our paper gives the background theory and goes on to outline the results of a study on post graduate Business Administration students from particular MEI to get students outlook on models to improve quality of institutions. Based on outcome of SERVPERF Deming’s PDCA cycle is established for further quality improvements of these institutions.
The Acute Effects of Cluster Set during Complex Training on Countermovement Jump
Authors:   Faculty of Sports Science and Coaching, Universiti Pendidikan Sultan Idris, Malaysia., Ishak* Asmadi , Nadzalan Ali Md ,   Faculty of Sports Science and Coaching, Universiti Pendidikan Sultan Idris, Malaysia., Khan Thariq Khan Azizuddin ,   Faculty of Sports Science and Coaching, Universiti Pendidikan Sultan Idris, Malaysia., Malik Zulezwan Ab ,   Faculty of Sports Science and Coaching, Universiti Pendidikan Sultan Idris, Malaysia.., Yakub Yusri ,   Faculty of Sports Science and Coaching, Universiti Pendidikan Sultan Idris, Malaysia., Ahmad Hishamuddin ,   Faculty of Sports Science and Coaching, Universiti Pendidikan Sultan Idris, Malaysia., Hashim Hairul Anuar ,   School of Health Sciences, Universiti Sains Malaysia, Malaysia.
Published: January 2020

This study aims to determine the acute effects of complex training with a cluster set configuration on countermovement jump. A crossover counterbalance design was used in this study. Fourteen recreational male underwent three sessions of trainings, with a minimum of 72 hours between each session. In the complex training (CT) protocol, squats with 65% 1RM were used for resistance training while jump squats with 80% of maximum effort for plyometric. Subjects performed the resistance and plyometric training alternately, using either traditional (TRA) or cluster with two sets (CS2). In TRA, no rest was given between the repetitions until they completed the entire set. For CS2, the pairs of CT 30s rest were inserted between the repetitions. The results of the study showed no significant interaction between TRA and CS2 across the all parameters: CMJ height (p> 0.05), power (p>0.050, and velocity (p>0.05) respectively. This study shows that both TRA and CS2 provide better CMJ height, power and velocity during CT. In conclusion, both TRA and CS2 can be adopted in training to enhance power.
Experimental Verification of Critical Inductance Analysis for LUO Family Converters
Authors:   School of Electrical Engineering, VIT University, Vellore, Tamil nadu, India., A* Deepa , kumar Dr.K.Sathish ,   School of Electrical Engineering, VIT University, Vellore, Tamil nadu, India.
Published: January 2020

Our work provides an experimental investigation over critical inductance analysis (CIA) for fundamental Luo family converters (LFCs).It mainly concentrates on negative output superlift Luo converter (NOSLLC), positive output superlift Luo converter (POSLLC) and negative output boost converter (NOBC) which is carried out with proportional integral controller (PIC) so as to get a control over the LFC’s output voltage. Experimental investigation is performed by selecting the critical inductance of LFCs based on average inductor current as well as inductor current repletion, and then the state-space equations of LFCs are attained using the Ziegler–Nicholas tuning method. The experimental analysis provides the researchers a detailed ride over critical inductance for LFCs converters to obtain a better voltage transfer ratio, efficiency and minimised capacitor voltage as well as inductance current ripples as compared with the traditional DC–DC converters. Therefore the performance of the LFCs using PIC is verified at different states by developing both the MATLAB/Simulink and the prototype models. The results of experimental and implementations are provided to represent the importance of the CIA of LFCs with PIC.
An Adaptation of Kernel Density Estimation for Population Abundance using Line Transect Sampling When the Shoulder Condition is Violated
Authors:   School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia., Albadareen* Baker , Ismail Noriszura ,   School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia.
Published: January 2020

Kernel estimation is a commonly used method to estimate the population density in line transect sampling. In general, the classical kernel estimator of (0) X f , which is the probability density function at perpendicular distance x  0 , inclines to be underestimated. In this study, a power transformation of perpendicular distance is proposed for the kernel estimator when the shoulder condition is violated. The mathematical properties of the proposed estimator are derived. A simulation study is also carried out for comparing the proposed estimator with the classical kernel estimators.
Selection Of Informative Features using The Modified Version Of The Delta Method
Authors:   Tashkent University Information Technologies named after Al-Kharezmi, Tashkent, Uzbekistan., Narzillo* Mamatov , Nilufar Niyozmatova ,   Tashkent University Information Technologies named after Al-Kharezmi, Tashkent,, Abdurashid Samijonov ,   Bauman Moscow State Technical University, Moscow, Russia Federation., Zafar Yuldashev ,   Tashkent University Information Technologies named after Al-Kharezmi, Tashkent, Musokhon Dadakhanov ,   Namangan State University, Namangan,
Published: January 2020

Currently, the most common criteria for informative features are heuristic criteria related to assessing the separability of given classes and based on the compactness hypothesis fundamental in pattern recognition: with increasing distance between classes, their separability improves. “Good” are those signs that maximize this distance.Although heuristic criteria, although they are widely used in solving practical problems of classification, however, in theoretical terms they are little studied.
Attack Patterns on IoT devices using Honey Net Cloud
Authors:   Research Scholar, RCAS, Bharathiar University, Coimbatore, Tamilnadu. India., Jayakrishnan* A. R , Vasanthi V. ,   Assistant Professor, Dept of IT, SKASC, Coimbatore, Tamilnadu, India.
Published: January 2020

Due to the superfluous growth of IoT devices in the current digital world, where lots of devices are becoming smart by being able to connect internet with many smart features, IoT devices have become the main target of cyber-attacks for the hackers these days. Since the IoT devices are very light in terms of processing power and memory, it has become an easy target for hackers to intrude in to the network easily. The file-less attacks, that usually doesn’t require any files to be downloaded and installed gets bypassed by anti-malwares. Very less effort has been put to learn the characteristics of attack patterns in IoT devices to do the research and development efforts to defend against them. This paper deep dives to understand the attacks on IoT devices in the network. HoneyNetCloud has been made with four hardware honeypots and hundred software honeypots setup that are meant to attract wide variety of attacks from the real world. Huge range of data was recorded for the span of 12 months. This study leads to multifold insights towards developing the IoT Network Forensics Methodology.
Power Consumption Reduction by Smart Control of Highway Lighting
Authors:   Assistant Professor (Gr-II), Department of Electronics and Communication Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation., Karthikeyan* Mr. R. , Ranjan Sudhanshu ,   UG Student, Department of Electronics and Communication Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation., Kausar SR Rizwana ,   UG Student, Department of Electronics and Communication Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation., Santhosh Nair Aishwarya ,   UG Student, Department of Electronics and Communication Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation., Prabhakaran C Vijay ,   UG Student, Department of Electronics and Communication Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation.
Published: January 2020

Consumption of power by highway lights constitutes a big component of the total power usage of a country. In a country like India where the majority of the transport is by road and with one of the largest road network the power consumption by highway lighting has to be controlled. We can see in the present scenario that the lights are manually switched ON/OFF or in some stretches automatic switching ON/OFF based on daylight detection is being done. We can see that the lights were ON, when there was no vehicle in a particular stretch. Switching OFF the light when there are no vehicles would results in great savings of power. Our proposed system does this by detecting vehicles on the road and switching ON the lights. We are proposing a system wherein the lights gets switch ON when a vehicle is detected. It remains ON for a present period of time and gets switched OFF. When the vehicle passes the next detector the corresponding light gets switched ON and so on. We are sure that this system when implemented would result in huge savings in the current consumption
An Efficient RF Energy Harvesting System for low power applications
Authors:   Assistant Professor, Dept. of ECE, Dhanalakshmi Srinivasan College of Engineering , Coimbatore, Tamil Nadu, India., Kumar* M.Arun , Nishanth J.R. ,   Assistant Professor, Dept. of ECE, Dhanalakshmi Srinivasan College of Engineering Coimbatore, Tamil Nadu, India., Nivethika R. ,   Assistant Professor, Dept. of ECE, Arjun College of technology, Coimbatore, Tamil Nadu India., Nandhini R.Usha ,   Assistant Professor, Dept. of ECE, Dhanalakshmi Srinivasan College of Engineering Coimbatore, Tamil Nadu, India.
Published: January 2020

Next generations energy sources of Radio frequency [3MHz-300GHz] are the (QoS).The QoS is going to presents a on the progress of RF energy harvesting techniques. RF based wireless charging methodology are presenting the key to overcome the current issues in harvesting system Radio wave creates the radio frequency (RF) which is one of the sources of energy. The combination of electric and magnetic fields moving together in space forms the electromagnetic energy. The region in which these waves are found is called an electromagnetic field. In this modern electronic era radio waves can be used for many applications in according to the user requirements. Electromagnetic energy can travel through wireless medium so it can be used in a wide range of wireless applications.
Position only Antenna Array Synthesis using Normal Distributed Invasive Weed Optimization
Authors:   Department of ECE, Koneru Lakshmaiah Education Foundation (KLEF), Vijayawada, India., Jayanth* M. Venkata , Harika B. Sri Lakshmi ,   Department of ECE, Koneru Lakshmaiah Education Foundation (KLEF), Vijayawada, India., Aashika B. ,   Department of ECE, Koneru Lakshmaiah Education Foundation (KLEF), Vijayawada, India., Lakshman P. ,   Department of ECE, Koneru Lakshmaiah Education Foundation (KLEF), Vijayawada, India., Santosh G Sai ,   Department of ECE, Koneru Lakshmaiah Education Foundation (KLEF), Vijayawada, India.
Published: January 2020

Nowadays, low-side lobe antenna arrays are used in many communications systems such as satellite, cellular, radar and wireless communications. The antenna array with low side lobe rates should be designed to avoid noisy contact. A new stochastic approach to synthesize a linear antenna array to suppress normal distributed invasive weed optimization (NDIWO) is proposed in this paper synthesize a linear antenna array to suppress the side lobe levels. NDIWO is applied for optimization of the positions of the antenna elements. A 28-element linear array is designed and synthesized by using the proposed and other popular evolutionary algorithms. The acquired radiation designs are gathered with the calculations like particle swarm optimization (PSO) and differential evolution (DE). The numerical results illustrate that the NDIWO optimized antenna array performs superior over PSO and DE optimized arrays in terms of low PSLL and convergence properties.
Novel Analytical Framework for harnessing Cognitive Radio Resource Optimization in 5G Networks
Authors:   Research Scholar, Department of Electronics & Communication Engineering. Sir M. Visvesvaraya Institute of Technology, Bengaluru, India., B P Vani , Sundaraguru* Dr. R. ,   Professor and HoD, Department of Electronics & Communication Engineering, Sir M. Visvesvaraya Institute of Technology, Bengaluru, India
Published: January 2020

The adoption of cognitive radio technology is characterized by various beneficial characteristics that can facilitate better spectrum sensing performance in a 5G network and thereby acting as a boosting element towards a high data transmission rate. However, it is also characterized by various challenges that limit the significant development in resource utilization in 5G. Therefore, this paper introduces a novel and simplified mechanism that facilitates the 5G network to perform better in data transmission and its associated quality of it. The proposed system also performs modeling using practical constraints associated with the usage of cognitive radio over 5G networks using a convex optimization approach. The model is simulated using practical environmental parameters to prove that the proposed system excels better performance in faster processing and quality signal in contrast to the existing resource allocation scheme exercised in 5G networks.
MFMW: Modified Floor planning with Minimum Wire length
Authors:   Associate Professor, Malla Reddy Engineering College(A), Telangana, India, Subbulakshmi* Dr. N. , Chandru R. ,   Assistant Professor, Sri Ramakrishna Engineering College, Coimbatore, India, Manimegalai Dr. R. ,   Professor, PSG institute of technology and applied research, Coimbatore, India
Published: January 2020

Floorplanning is one of the most critical phases inVLSI circuit design. The module alignment has a substantial concentration on the minimization of chip area and total wirelength in slicing floorplan. At foremost, the disadvantages of dead space are investigated and an instinctive and profligate method is proposed to find the equitable part of component. Then, a tormenting for standardized expression is improved to produce new solution, and the proposed simulated annealing algorithm which improves design efficiency is opted for the best floorplan solution. The proposed MFMW method attains less area on the commonly used AMI33 and AMI 49 benchmark circuits.
Assessment of the Various Techniques and the Latest Tools for the Big Data Analytics
Authors:   Professor, CGC, Technical Campus, Jhanjeri, Mohali. (Punjab), India., Moudgil* Dr.Manu Raj , Lamba Dr.Anil Kumar ,   Professor, CGC, Technical Campus, Jhanjeri, Mohali. (Punjab), India.
Published: January 2020

Big data analytics plays a vital role in today’s environment and a need for the researchers, academicians and industry people. The digital information over the internet is spreading with a very high speed by facebook likes/posts, blogs, tweets, articles, news, website clicks, youtube videos etc in an unstructured form. On the daily basis people around the globe which are in billions fetching, uploading and sharing the information through laptops and mobiles on social media platforms. The data includes structured and unstructured information in the form of blogs, google locations, pictures, videos, voice messages and text etc. The question arises how to process this huge information, because the basic techniques of data processing are not enough to handle the heterogeneous, enormous and Exponential data. Online marketing and E-Commerce has become very famous in recent times because all types of businesses are mostly depend on the online transactions and services provided by the seller. Big data analytics has demonstrated to be an aid for such an industry as it removes valuable examples and obscure connections of potential buyer showcase, customer inclinations, purchasing traits and part of other data from mind boggling information sources. The different problems specified above can be resolved by using latest tools available. This paper focuses to provide detailed information about the latest tools and frameworks which are used for big data analytics with comparative assessment.
Experimental Examination of Fiber Reinforced Concrete Incorporation with Lathe Steel Scrap
Authors:   U G Student, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India., Maanvit* P.Sai , Prasad B.Pavan ,   U G Student, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India., Vardhan M.Harsha ,   U G Student, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India., Jagarapu Durga Chaitanya Kumar ,   Assistant Professor, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India., Eluru Arunakanthi ,   Professor, Department of Civil Engineering, JNTU College of Engineering Ananthapuram, Andhra Pradesh, India
Published: January 2020

Food and shelter are the basic needs of every human being, as the population of the world is increasing there is an emerging need of mass constructions or multi storied constructions which can accommodate a greater number of people. In this aspect high strength concrete is required which is eco-friendly i.e. it must be more sustainable and effort worthy. To accelerate the properties of concrete we can add fibrous material to the concrete which are evenly distributed and randomly oriented and helps to increase the compressive strength, shear resistance, crack résistance, modulus of elasticity, toughness and reduction of shrinkage of concrete. And also, by keeping sustainability in mind we have used Lathe steel scrap as a fibrous material in the concrete, which is non-bio-degradable solid waste produced by Lathe machinery in manufacturing industries, land filling by these materials causes land pollution and also affect the quality of ground water at such places. In consideration of environmental pollution and vast availability of these scrap material we have used Lathe steel scrap as partial addition to concrete at 1%, 1.5%, 2% by volume proportions for M30 grade concrete and the properties like compressive, split tensile, bending, flexural beam strength, modules of elasticity are tested for 7 and 28 days and compared with noramal M30 concrete
Experimental Examination on Blended Concrete by Incorporating Fly ash and Silica Fume
Authors:   B. Tech Student, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Hari* Marupaka Sri , Goud M.H. Sai Ram ,   Assistant Professor, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Jagarapu Durga Chaitanya Kumar ,   Professor, Department of Civil Engineering, JNTU Anantapur, Ananthapuram, Andhra Pradesh, India, Eluru Dr.Arunakanthi ,   Professor and Head in Department of Civil Engineering, JNTUA College of Engineering, Ananthapuram Andhra Pradesh, India
Published: January 2020

Now days, concrete mixture contains additional cementitious material which imparts additional strength. The admixtures and pozzolanic materials are produced large tons from the fast growth of industries, which is used for this material such as Fly ash, Silica fume, GGBS, copper slag, etc. By using these types of materials improve the concrete dressed in fresh and hardened states. In this present work different tests are held to have tentative results for comparison of conventional concrete including various possessions of concrete mixes developed by using OPC 53 grade cement. These mixes are improved by replacing 5%, 8%, and 10% Silica Fume. After best results of Silica Fume, it is intermingled with Fly Ash with 10%, 22%, 10%, by varying the cement content to 75%, 70%, and 80% in terms of volume. Properties like compressive, split tensile and bending strength are studied for 7, 28 and 56 days.
Benchmarking the Yearly Performances of the Indian Railways
Authors:   Engineering Department, Indian Railways, Ministry of Railways, Government of India, Pune, India, & Ph.D. Scholar in the Department of Civil Engineering, MANIT-Bhopal, India., Roy Sabyasachi S. , Kulshrestha* Mukul ,   Professsor, Department of Civil Engineering, MANIT, Bhopal, India.
Published: January 2020

This paper uses a Data Envelopment Analysis (DEA) based analysis to benchmark performances of Indian Railways over a period 2002-03 to 2016-17. An output based model revealed that the performances have remained far from being efficient, though a steady improvement has been seen in the sector throughout the period over which the model was applied. The results indicate that inefficiencies may largely have been brought about due to excess staff, whose reduction over the years has led to improvement in efficiencies. Furthermore, the operations seem to achieve economies of scale in recent times. The results also indicate that there has been a huge notional loss of revenue due to the performances remaining muted and inefficient, and hence sector reforms to improve performances should remain an urgent and sought after agenda for the Indian government.
Use of Technology and Gamification in Learning Viz a Viz Traditional methods
Authors:   Associate Professor, Symbiosis Institute of Management Studies, Symbiosis International (Deemed University), Pune, India., Pandey* Dr Suruchi , Chopra Dr Komal ,   Assistant Professor, Symbiosis Institute of Management Studies, Symbiosis International (Deemed University), Pune , India., Alumnus Bhagyashree Borbora. ,   Symbiosis Institute of Management Studies, Symbiosis International (Deemed University), Pune , India.
Published: January 2020

The study primarily aims at understanding the learning outcome of using the different methods about a topic. The traditional learning modes in educational institutions tend to focus primarily on lecture method or a pen paper system of imparting knowledge. With the advent of technology newer modes of learning have come in to place with multimedia leading the domain. Gamification has been sparingly used in educational institutions or for imparting knowledge and thus the far fletched advantages of adopting such learning methods haven’t been tested or acknowledged at large scale. An attempt has been made by the research to understand the effectiveness of learning outcomes through both a written document and Gamification video. The learning outcome was measured through a quiz, an element of gamification. The outcome of which resulted in proving that gamification proves to have better scores as compared to learning through a traditional method. Sample size of 50 was collected and learning was measure using Quiz. Three set of data was collected for using different methodology. Traditional method, Gamified video and combination method. The research also establishes the fact learners felt that have both the mode of teaching enforces theories and concepts for learners to have a fairer understanding of the subject matter. The study presents findings on adult learners and post graduate level course. Studies like these need to be explored across time spans and with different topics. The study is relevant as generation of learners is changing and it implies how pedagogy needs to shift to meet the requirement of different types of learners.
Real Time Attendance System using Convolutional Neural Networks(CNN)
Authors:   Assoc.Professor (Electronics and Communications Engineering) K L E F Guntur, India, Prasad* Ch. Raghava , SriNandan Mallavelli Jaya ,   B.Tech Student (Electronics and Communications Engineering)K L E F Guntur, India, Atchyuth Veerubhotla Surya ,   B.Tech Student (Electronics and Communications Engineering) K L E F Guntur, India, Phaneendra Siddana ,   B.Tech Student(Electronics and Communications Engineering K L E F Guntur, India
Published: January 2020

The management of the attendance can be an incredible weight on the instructors in the event that it is completed in registers. Determining this issue, keen and automatic attendance marking system by using the executive’s framework is being used. In any case, verification is a significant problem in this framework. Brilliant attendance framework is implemented commonly along with the assistance of soft biometrics. Acknowledgment of face is one of the updated biometric techniques this framework got to be enhanced. Being a principle element of biometric confirmation, facial acknowledgment feature has become most utilized enormously in a few such applications, similar to video observing and surveillance-based CCTV film framework, a connection between PC and people and admittance frameworks existing inside and in network security. By using this structure, the issue present in along with intermediaries, understudies also have been checking on the present despite the fact that they are not physically present can without much of a stretch be illuminated. The primary usage steps utilized regarding this sort of framework are facial discovery and perceiving the distinguished the different face of the people. This term paper recommends a perfect model for actualizing a computerized attendance the board framework in order to make understudies for a class by utilizing the procedure of acknowledgment-based face detection procedure, by means of utilizing Convolutional Neural Network (CNN), Max pooling.
Technology and Technical Equipment Ensuring a Sustainable Profile and Design Slope for Waterfurnishing
Authors:   Department of Irrigation and Melioration, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (TIIAME), Tashkent, Uzbekistan., Matyakubov* Bakhtiyar , Atajanov Adiljan ,   Senior Teacher of the Department “Mechanization of irrigation and drainage works”, TIIAME., Yulchiyev Davronbek ,   Assistant of the Department “Irrigation and land reclamation”, TIIAME.
Published: January 2020

The article is devoted to the issues of water conservation and efficient use of water resources by improving the existing methods of irrigation through the furrows and the creation of new technical means ensuring the rational use of water and land resources during furrow irrigation, contributing to irrigation water savings. The proposed technology based on the fact that this measure is achieved by presenting changes and the automation of the working bodies of agricultural machinery involved in land reclamation measures, in particular, a furrow cutter and a bottom compactor. The technology allows for the production of agricultural industrial crops to use automated control of the working body when cutting furrows, to save water on irrigated areas and to achieve high yields due to the sustainable development of crops, and the proposed technical tool relates to agricultural machinery, especially a tool for caring of row crops, irrigated crops, the purpose of the invention, which is the creation of uneven compaction soil in the furrow bed along its length, with a change in soil density from the maximum value at the beginning and the minimum at the end, according to the irrigation method. The proposed technical tool is used for the device of uneven soil compaction in the furrow bed along the entire length, with a smooth change in soil density from maximum at the beginning and minimum at the end. The proposed technology and technical means provide: -increasing the efficiency of the use of water resources by creating a sustainable profile and design slope of the furrow saves irrigation water in the range of 10-12%; - water saving and energy saving by creating a stable profile and slope of the furrow of the irrigated field, providing high uniformity of moistening of the root layer of the soil along the entire length of the furrows, especially when cutting them, new laser technologies and highly efficient trailed technical means and production methods were used, providing material savings of 6- 8%.
Chronic Kidney Disease Prediction based on Blood Potassium Levels using Machine Learning
Authors:   Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India., Harish* S.D. , Kumar K.Vinay ,   Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India., Ram K.Taraka ,   Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India., Pradeepini G. ,   Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India.
Published: January 2020

Machine learning is an artificial intelligence(AI) technology that provides the systems with the knowledge and capability to learn and evolve automatically from specifically programmed experiences. This focuses on designing computer programs that are able to gain access and use information on their own. Kidney damage or decreased activity for more than three months is known as chronic kidney disease.This illness occurs when the kidneys can no longer expel extra water or waste from human blood. The goal of this research study is to prepare a predictive modeling for chronic kidney disease data to analyze the different open source python module and output the results predicted by machine learning algorithms and determine the accuracy by comparing different algorithms such as KNN and Logistic Regression which are primarily used for classification of data. This algorithm makes predictions on a dataset collected from the patient's medical records. It gives us the clarity that if someone has chronic kidney disease or not primarily based on a person's blood potassium levels present in their body.
RFID based Passengers Tracking System Inside an Airport Terminal
Authors:   Asst. Prof (Gr. II), Department of ECE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Salem, Tamilnadu, India,, Priya* R. Mohana , Karthikeyan R. ,   Asst. Prof(Gr-II), Department of ECE, Aarupadai Veedu institute of Technology, Vinayaka Mission’s Research Foundation, Salem,Tamilnadu, India, Kumar K.Vinoth ,   U.G Student, Department of ECE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Salem,Tamilnadu,India., Dhaniya P. ,   U.G Student, Department of ECE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Salem,Tamilnadu ,India., Heamanth K.Sai ,   U.G Student, Department of ECE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Salem,Tamilnadu, India.
Published: January 2020

In this work, a RFID-Enabled area following framework is proposed dependent on Airport. The arranged goals is utilized for each Push and Pull area. Both this modes can be utilized. We can utilize either dynamic or aloof labels. The use of SIP (session commencement convention) foundation alongside area situated center expansion. This strategy makes RFID Location Tracking System-RLTS a more affordable goals for progressive age correspondence administrations. This undertaking likewise manages the presentation examination, favorable circumstances and utilization of RFID innovation. In this task for session inception convention for position finding of any missing items, pets, person and so on, is created. The task remembers various reception apparatuses at better places for a predefined inclusion territories. The territory secured by the radio wire relies on its transmitted power. All receiving wires are associated in a system by means of microcontroller and eventually associated with the server through a passage organize. In this way, the solicitation might be created by any other individual for indicated questions through pc/web/phone line/versatile and so forth through 10 digit exceptional ID.
Prediction of Churn in Telecom Service: Exploring Call Behaviors and using Machine Learning
Authors:   College of software, Chungang University, Heugseoglo 84, Dongjaggu, Seoul, Korea,, Choi* Jae Won
Published: January 2020

Churn has a significant impact on mobile network operators and telecommunications service providers. Many studies on churn have been reported, but no one can say that they can create universal human tools for predicting churn or that we can see all the reasons for it. The purpose of this study is to derive the call behavior factors of churning customers and to find ways to reduce the churn of target customers who exhibit these call behaviors. For this, this study uses decision tree and machine learning for the prediction of churn in telecom service. Based on the analysis results, first, the fact that the total number of customers who have more than 316.7 in churn shows that the higher the number of calls, the higher the chance of churn. Second, among customers with total day minutes above 316.7, those with customer service calls above 8.5 show a high likelihood of churn among complaining customers. The overall accuracy is 91.4%. Among the customers who predicted not to be churned, the accuracy that would not be churned was 92.87%, and the accuracy that was churned was 78.4% among the customers predicted to be churned.
Experimental and Development of Polymer-Clay based Hybrid Nanocomposites
Authors:   Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India, R* AjishKumar , C P Jesuthanam ,   Principal/Professor, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India., S Shajin ,   Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamil nadu, India., J P Pratheesh ,   Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India.
Published: January 2020

The hybrid polymer was arranged by using of halloysite nano tubular particles in hand lay-up method. Natural polymer materials have nano-clay particles; the epoxy resin was a chemical reaction of bonding two materials. The polymer material and nano clay particles are bonding with the epoxy resin. The amount of benzyl peroxide-radical initiator was analyzed by X-Ray diffraction method. The polymer nano clay particle and glass fiber are reinforced with epoxy-resin hybrid composites. The weight fractions of nano clay particle are 1.5, 2.5, and 3.5 % (by weight.) and Halloysite Nano tubular (HNT) clay joined together with polymer clay. In this project work was carried out wear test, tensile Strength X-ray Diffraction and SEM. In this project work conducted by wear test by Varying the loads and percentage of nano clay particles can be studied
Performance Analysis of Adaptive Filters with various Wavelets for Noise Removal in EEG Signals
Authors:   Research Scholar, Department of CSE, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India., Rao* M. Purnachandra , Reddy E. Srinivasa ,   Research Supervisor, Department of CSE, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India.
Published: January 2020

Noise removal from recorded EEG signal is most essential for better analysis of brain disorders. During recoding time, EEG signals are usually contaminated by various noise and distortions due to several artifacts. These noisy EEG signals may lead to wrong diagnosis of brain disorders. There are several techniques available to remove the noise from EEG signals. But these techniques are unable to remove the noise completely. However, they can minimize the noise in EEG signals so that the physicians can predict brain disorders. This work presents to minimize the noise by Discrete Wavelet Transform Methods using haar, db2, symlet and coiflet wavelets. EEG original signals from public EEG database are used for experimentation and wavelet transformations, are applied by using Matlab code. The filters performance is measured and analyzed on the basis of performance parameters like SNR and MSE which are calculated for various step sizes of signal and filter orders. Wavelet analysis techniques shows better performance when compared to others
Critical Elements of Customer Service Among Homestay Operator to Improve the Quality of Homestay Program in Malaysia
Authors:   Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn, Malaysia, Johor, Malaysia., Mutalib* Siti Salwa Abdul , Razzaq Abdul Rasid Abdul ,   Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn, Malaysia, Johor, Malaysia., Hassan Azman ,   Department, Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn, Malaysia, Johor., Bokhari Norzella ,   Department, Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn, Malaysia, Johor., Zaime Adib Farhan ,   Department, Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn, Malaysia, Johor.
Published: January 2020

Homestay program is a service industry; from people to people through people. It is aimed to increase the economic income of rural areas. However, the level of homestay program competitiveness is still low due to many studies reported about the quality of service offered by the homestay operator was not at the satisfactory level. Hence, the customer’s satisfaction is very important in order to make the homestay program become successful and improve the rural area economic income. There are many studies on the service quality in the homestay sector in Malaysia but not much research focusing on service delivery which also emphasizes the quality and customer satisfaction aspect. This study is to identify the critical elements that can improve the quality of customer service in Malaysian homestay program. Therefore, this study will measure the interrater reliability of each element which the researcher has gathered from qualitative method on previous study. Fleiss’ kappa statistical method will be used to measure the four constructs of customer service; human relation, skill, knowledge and attitude. This method will measure the nine experts’ consensus and verify the critical elements of customer service in homestay program in Malaysia. The findings of this study show that from 71 elements of four constructs only one element was disagreed by two experts. In conclusions, all the experts agreed with four constructs as they believed that the constructs will improve the quality of customer service. These constructs and elements may be the guidance for the homestay operator in Malaysia in order to improve the customer service quality and foster the competitiveness of the homestay in Malaysia.
Optimization of the Location of Shear Wall in a Multistory Building
Authors:   Education Qualification Master Of Technology, Rimt University, Regional Institute of Management and Technology Punjab, India., Kaur* Dilsanjh , Singh Brahmjeet ,   Professor, Head Department RIMT University Regional Institute of Management and Technology Punjab, India., Kumar Ashish ,   Professor, RIMT University Regional Institute of Management and Technology Punjab, India.
Published: January 2020

A Shear Wall Is An Upright Part Of A Seismic Strength Resisting System That Is Planned To Defend Against In-Plane Adjacent Forces, Characteristically Wind And Seismic Loads. In Many Ruled Buildings, Global Building Code And Intercontinental Residential Code Manages The Design Of Shear Walls. The Loads Of The Shear Walls Resists Loads Which Is Equal To The Plane Of The Walls. Collectors As Well Known As Drag Associates, Handover The Diaphragm Shear To Shear Walls And Other Vertical Features Of The Seismic Force Resisting Arrangement. In This Study, We Have Selected” Optimization Of The Location Shear Wall In A Multistory Building” Analysis Is Done On The Multistory Building. The Model Of Shear All N Building Is Design In The Staad Pro V8i (Series 4) Designing & Analysis Software. Then Giving It The Constrains Which Are Act On The Acting Earthquake Load And Wind Loads On Building Made Nodes Weak To Strengthen That Node We Provide The Shear Wall. After Adding Of Shear Wall On Building Into Model & Analysis It On Staad Pro In Std Format. After The Analysis Of The Location Of Shear Wall On Building It Analyzed That The Shear Wall Location In Multistory Building Providing The Strength To Weak Nodes Of Building And Helps The Building To Resist The Lateral Loads, Wind Loads And Earthquake Load Acting On Building.
An UAV with Twin Propellers Driven by Single Motor
Authors:   Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India., Shankar* K Shiva , sura Sreekanth ,   Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India., Goud B Nagaraj ,   Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India.
Published: January 2020

As the technology is looping and far applications of UAV is improving so there is need to develop an UAV with optimum propulsive efficiency and also producing high thrust. So our mission is to build an UAV with twin propellers propelled by single motor. A fixed wing UAV which has a unique type of propulsion system. In this fixed wing UAV, two propellers are driven by single motor to enhance the propulsive efficiency. The bevel gear mechanism is the most important. This is the propulsion system for the aircraft model which runs the two propellers with a single motor. Bevel gears are used to transfer the power from the motor to the propeller. The bevel gear train is 80cm long through which a long shaft is passed that holds the bevel gears. Totally six bevel gears are housed inside the box which connects the motor shaft to the propeller shaft. The bevel gears are arranged in such a way that the when motor shaft rotates the propeller connected rotates both in opposite direction.
Efficient End to End Data Communication Protocol for Wireless Body Area Networks
Authors:   Research Scholar, KLEF Deemed to be University, Vaddeswaram, Guntur (Dt), A.P, India., Vandanna* T.Santhi , Venkateshwarlu S. ,   Professor, KLEF Deemed to be University, Vaddeswaram, Guntur (Dt), A.P, India.
Published: January 2020

In recent years wireless body area network (WBAN) technology has been accelerated due to the demands that arise to provide solutions to the problems such as population aging, various chronic diseases monitoring and to facilitate data collection. This increasing demands and WBAN deployments always comes with the cost of various security and privacy related problems. Designing an efficient framework to ensure both security protection and reliability in all critical events with considerable energy efficiency is a difficult task to accomplish, due to the multi modal dynamics of the WBAN network topology. The performance of security mechanism and authentication measures has a direct impact on the attainable system performance. In this paper, we briefly introduce unique transformation and data protection schemes for end-to end secured WBAN systems. Here, we first present color variant and key driven QR pattern generation techniques, how they utilized and meets the requirements of security and privacy in WBAN and validated the performance metrics and efficiency of proposed pattern generation and analyzes in providing solution of security and privacy in WBAN.
Hadoop Framework for Big Data Analytics to Analyze Attacks on Business Data
Authors:   PhD scholar, Department of CSE, Bharath Institute of Higher Education and Research (BIHER), Chennai, Tamilanadu, India, Reddy* Siva Sankara Reddy Donthi , Ramanadham Udaya Kumar ,   Professor, Department of Information Technology, Bharath Institute of Higher Education and Research (BIHER), Chennai, Tamilanadu, India
Published: January 2020

Big Data consist large volumes of data sets with various formats i.e., structured, unstructured and semi structured. Big Data requires security because day by day attackers attack on it in different manner. Big Data Security Analytics analyses Big Data for finding various threats and complex attacks. By increasing the number of targeting attacks on data and one side rapid growing of data, it is too difficult to analyze accurately. The Security Analytics Systems are used the untrusted data. So, strong security analytical tools are required to analyze the data. The organizations and industries exchange the data through networks dynamically, so this may become more vulnerable for data misusing and theft. Attackers are more advanced in the attacking on data that the existing security mechanisms are not identified before damaging. At present, the collecting and analyzing various attacks is major challenging task for Security Analytics Systems, to take suitable decision. In this research paper, we have addressed about Hadoop tool that how it analyses Big Data and how Big Data Security Analytics is applied to analyze the various threats and securing the business data more accurately.