bluuebunny/crossref_metadata_2025 huggingface dataset:
Shallow core drilling and petroleum geology related field work in East and North-East Greenland 2008
Authors: Bojesen-Koefoed Jørgen A. , Bjerager Morten , Piasecki Stefan
Published: May 2020

In recent years, both the petroleum industry and governmentresearch institutions have shown renewed interest in the petroleum potential of the High Arctic. At the same time, arange of activities are taking place, aimed at defining national borders in the Arctic Ocean following ratification of article 76 of the United Nations Convention on the Law of the Sea (UNCLOS). Parallel to the general upsurge in data acquisition activities, the United States Geological Survey has carried out a Circum-Arctic Resource Appraisal (CARA), which for North-East Greenland was published in 2007. This assessment indicated that a significant petroleum exploration potential exists on the North-East Greenland shelf, in particular in the Danmarkshavn Basin and the North Danmarkshavn Salt Province (Fig. 1). The estimated potential amounts to 31 billion barrels of oil equivalents, principally in the form of natural gas. For comparison, this roughly corresponds to one third of the original reserve of the North Sea basins. The geology of the Danmarkshavn Basin and offshore areas farther to the north is only known in broad outline, since no wells have been drilled and only reconnaissance geophysical data are available. Moreover, the extensive ice cover and the overall hostile climate of the region pose significant logistical and technical challenges to data acquisition. Clearly, this emphasises the importance of analogue studies based on the much better known geology of the onshore basins in East and North-East Greenland. In 2007/2008, the Geological Survey of Denmark and Greenland (GEUS) launched a major petroleum industry-sponsored project with the objective of updating and expanding our current understanding of the petroleum geology of East and North-East Greenland. The projectis planned to continue for the next four to five years, and includes compilation of relevant existing data in the form of a geographic information system (GIS) product, supple-mented by new data obtained from shallow core drilling and new field work. Below we give a brief overview of a range of field activities that took place in East and North-East Greenland in the summer of 2008.
An Unified Study of Some Multiple Integrals
Authors: AY. Ant FY.
Published: May 2020

The object of this paper is to derive three unified fractional derivatives formulae for the Saigo-Maeda operators of fractional integration. The first formula deals with the product of a general class of multivariable polynomials and the multivariable Aleph- function. The second concerns the multivariable polynomials and two multivariable Aleph-functions with the help of the Leibniz rule for fractional derivatives. The last relation also implies the product of a class of multivariable polynomials and the multivariable Aleph-function but it is obtained by the application of the first formula twice and it implicates two independents variables instead of one. The polynomials and the functions have their arguments of the type are quite general nature. These formulae, besides being on very general character have been put in a compact form avoiding the occurrence of infinite series and thus making them put in applications. Our findings provide unifications and extensions of some (known and new) results. We shall give several corollaries and particular cases.
DEVELOPMENT OF MECHATRONIC MODULE FOR THE SEEDING CONTROL SYSTEM
Authors: Aulin V. V. , Pankov A. O. , Zamota T. M. , Lyashuk O. L. , Hrynkiv A. V. , Tykhyi A.A. , Kuzyk A. V.
Published: May 2020

Existing control systems of sowing machines are intricate and not reliable enough. In these systems, devices are connected by a variety of signal and power wires. This leads to a "problem of interfaces" and a decrease in the efficiency of the control process. The solution to this problem is based on the mechatronic approach or combining elements and control units into mechatronic modules. They are characterized by reliability, compact design and lower cost. The improvement of functional and structural integration of the control system components by their integration into the mechatronic module is considered. The module of regulation of seeding rate on the basis of software and hardware platform Arduino is developed. The work of the proposed control system when changing the seeding rate in the seeding system is studied.
SEGMENTATION OF APPLE POINT CLOUDS BASED ON ROI IN RGB IMAGES
Authors: Zhang Yuanxi , Tian Ye , Zheng Change , Zhao Dong , Gao Po , Duan Ke
Published: May 2020

Autonomous harvesting and evaluation of apples reduce the labour cost. Segmentation of apple point clouds from consumer-grade RGB-D camera is the most important and challenging step in the harvesting process due to the complex structure of apple trees. This paper put forward a segmentation method of apple point clouds based on regions of interest (ROI) in RGB images. Firstly, an annotated RGB dataset of apple trees was built and applied to train the optimized Faster R-CNN to locate ROI containing apples in RGB images. Secondly, the relationship between RGB images and depth images was built to roughly segment the apple point clouds by ROI. Finally, the quality control procedure (QCP) was proposed to improve the quality of segmented apple point clouds. Images for training mainly included two lighting condition, two colours and three apple varieties in orchard, making this method more suitable for practical applications. QCP performed well in filtering noise points and achieved Purity as 96.7% and 96.2% for red and green apples, respectively. Through the comparison method, experimental results indicated that the segmentation method based on ROI is more effective and accurate for red and green apples in orchard. The segmentation method of point clouds based on ROI has great potential for segmentation of point clouds in unstructured scenes.
EXPERIMENTAL PULSE GENERATOR COMBINED WITH THE MILKING MACHINE COLLECTOR
Authors: Dmytriv V.T. , Dmytriv I.V. , Yatsunskyi P.P.
Published: May 2020

Factors affecting the milk ejection intensity and power consumption of the pulse generator combined with the milking machine collector have been analyzed. The main factors and limits of their variation, as well as the results of experimental studies are given. The matrices of a multivariate planned experimental study of a pulse generator with a combined collector (pneumatic-electromagnetic pulsator-collector) have been developed. According to the results of experimental studies, the coded and natural values of the regression equation are derived. The equations characterize the dependence of the milk ejection intensity on the pulsation frequency, the ratio between the strokes and the vacuum pressure in the under teats space of the teat cup. The dependence of the power consumption of the pulse generator on the pulse rate and the ratio between the strokes are derived. Graphical models of interpretation of regression dependencies according to the experimental data are constructed. Student's t-test, Fisher and Cochran criteria are calculated. These indicators show the adequacy and reproducibility of the models obtained during the studies using an experimental pulse generator combined with a milking machine collector.
STUDY ON TENSILE MECHANICAL PROPERTY AND MICROSTRUCTURE OF FRUIT AND VEGETABLE PEELS
Authors: Wang Juxia , Zheng Decong , Cui Qingliang , Xu Shuanghua , Jiang Bingyao
Published: May 2020

Fruit and vegetable peels exert a protective effect on fruits as constituent parts of the outermost tissue and their properties are of great importance to reducing fruit and vegetable mechanical injury. Four kinds of fruit and vegetable peels such as Nagafu apple, Crisp pear, Tainong mango and long eggplant were chosen to perform longitudinal and transverse tests of tensile property by means of electronic universal testing machine. Stress-strain curve, tensile strength, elastic modulus and fracture strain of peels were obtained; and the microstructures of four kinds of peels were scanned using an electron microscope (SEM). The results indicated that cubic polynomials proved superior for quantifying the stress-strain non-linear relationship of peels and the fitting error of tensile strength is less than 10 parts per thousand. Tensile strength, elastic modulus and fracture strain of peels were different in the case of different fruits and vegetables cultivated and different parts of the same peel; fruit and vegetable peels belong to anisotropic heterogeneous materials and have certain strength. The mean values of tensile strength and fracture strain of the long eggplant peel are the biggest in four kinds of peels and that of elastic modulus of Nagafu apple peel is the largest; long eggplant and Nagafu apple peels had better resistance to damage sensibility than Crisp pear peel. The bearing capacity of the peels depends on the number, width and distribution of microcracks on the surface, and the shape of the epidermal cells and fruit dot on peels; the number of microcracks is bigger and the width of microcracks is wider, the tensile strength is smaller and the elastic modulus of peel is bigger with the slippage increase of epidermis cells. This study provides basic technical parameters for mechanical equipment design for fruit and vegetable during harvesting, processing, packaging, storing and transporting and builds the correlations between macro-mechanics properties and microstructures of fruit and vegetable peels.
Câmbio
Authors: Hauser Eduardo , Silveira Raquel da , Stigger Marco Paulo
Published: May 2020

Para estimular a adesão por parte de idosos à prática esportiva foi desenvolvida a modalidade câmbio, uma adaptação do voleibol a qual tem motivado prefeituras, poder público e grupos de idosos a promover amistosos e torneios competitivos. O objetivo desse trabalho foi conhecer a forma como idosos vivenciam essa prática esportiva, compreendendo como ela se insere na vida dos seus praticantes. Para tal, foi realizado um estudo etnográfico em dois grupos praticantes de câmbio na cidade de Porto Alegre/RS. Verificamos que, nos universos investigados, o câmbio era vivenciado de diversas formas, sendo que em algumas situações o divertimento e a brincadeira eram os fios condutores da prática, e em outros momentos a seriedade e a busca por rendimento nos movimentos técnicos eram a prioridade.
Fomentando a Educação Não Formal no Lazer e Recreação em Hotéis
Authors: Fazolin Marcio Aparecido Franco de Godoy , Mercadante Luciano Allegretti , Grando Regina Célia
Published: May 2020

O lazer e a recreação assumem diferentes classificações e múltiplas abordagens em relação ao tempo livre da sociedade. O presente estudo apresenta uma discussão sobre a dimensão educacional relacionada às atividades de lazer e recreação em hotéis, a partir de uma pesquisa de campo realizada com hospedes e profissionais da área hoteleira. O objetivo do estudo foi investigar em que medida as atividades de lazer e recreação realizadas em hotéis contribuem para formação integral de crianças entre 06 e 14 anos.  Com uma revisão sistemática da literatura, foi realizada uma pesquisa qualitativa do diário de campo. Foi realizada uma observação das atividades do hotel em três dias da programação de lazer. Após a fase de observação, a análise aconteceu com base em quatro categorias; (1) cultura corporal do movimento; (2) jogo simbólico e ação cognitiva; (3) a competição como sociabilização; (4) educação não formal e potencial motor. Essas categorias demonstraram um processo educativo que contribui para a formação integral daqueles que praticam as atividades em um ambiente de educação não formal. A investigação realizada demonstrou que existe um processo de aprendizagem durante as atividades de lazer programadas em hotéis.
Lazer e Juventude
Authors: Nascimento Thaiane Bonaldo do , Marin Elizara Carolina
Published: May 2020

Este artigo resulta de pesquisa sobre as relações risco que envolvem o lazer da juventude em danceterias no contexto urbano, tendo como objeto de análise o desastre na boate KISS. Utilizamos como caminho metodológico a análise documental do “Inquérito Policial da Boate KISS” e de matérias da mídia impressa “Diário de Santa Maria” por meio dos pressupostos da Análise de Conteúdo. Identificamos que o tema “segurança e risco no lazer da juventude” não pode ser ignorado e/ou banalizado; que os empreendimentos de lazer privado não são sinônimo de segurança; que as normas de segurança pública esvanecem em detrimento do lucro; e que a centralidade da vivência do lazer em danceterias deve ser o encontro e a fruição dos sujeitos sociais.
Lazer, Economia Criativa e Indústrias Culturais e Criativas
Authors: Gomes Christianne Luce
Published: May 2020

As reflexões sobre economia criativa e indústrias culturais e criativas são incipientes no campo de estudos do lazer. Por isso, este ensaio objetiva problematizar a temática levando em conta aspectos econômicos e sociais, procurando compreender algumas de suas implicações em nosso contexto. As discussões evidenciaram que as indústrias criativas não apenas reproduzem a lógica excludente do capitalismo neoliberal: elas a reforçam à medida que os discursos (e práticas) sobre crescimento e desenvolvimento econômico, social e ambiental são meramente retóricos. A chamada economia criativa só poderá contribuir com a superação da desigualdade social quando forem efetuadas mudanças estruturais mais amplas e profundas em nossa sociedade.
Lazer e Alteridade em “Outros” Modos de Viver
Authors: Costa Karla Tereza Ocelli , Soares Khellen Cristina Pires Correia , Debortoli José Alfredo Oliveira
Published: May 2020

No contexto da Pós-Graduação, temos nos colocado o desafio de problematizar o Lazer para além dos espaços urbanos, ao encontro de outros modos de viver. Ao nos aproximar de contextos como os de Povos Indígenas e Comunidades Quilombolas, temos sido desafiados a interpelar o Lazer entrelaçando-o a práticas sociais. Sendo assim, propomos analisar as experiências de Lazer de uma forma relacional, imbricadas em realidades vividas, encarnadas, de forma cotidiana e histórica. Os contextos e experiências culturais apresentados têm como intenção apontar, nos estudos do Lazer, a necessidade de focarmos outras referências, contextos e indagações de pesquisas para que dessa forma possamos ampliar o olhar sobre as pessoas e suas práticas sociais.
A Design of Intrusion Detection using Modified Bat Algorithm and Deep Autoencoder Network
Authors:   Assistant Professor, Department of ECE, Sri Krishna College of Engineering and Technology, M.E.* Soundari D.V , R Kuralarasi ,   PG Student, Department of ECE Sri Krishna College of Engineering and Technology, S Kalieshwari ,   PG Student, Department of ECE, Sri Krishna College of Engineering and Technology, M Kanimozhi ,   PG Student Department of ECE Sri Krishna College of Engineering and Technology, N Kanimozhi ,   PG Student Department of ECE Sri Krishna College of Engineering and Technology
Published: May 2020

In this world, Intrusion Detection is more popular for preparing the network security systems. In current trend of increasing security system, there is a demand for Intrusion Detection. With these clarifications need to find a huge Data measurement, high speed traffic’s and frequent forms of threats. In this work, Intrusion Detection is done by Deep Auto-Encoder network (DAEN) and Modified BAT algorithm (MBA). Our approach improves the Deep Auto Encoder (DAE) classifier by manipulating the benefits of an additional process encourage through the atmosphere of microbats (Bat Procedure). The core aim of this work is to select the features based on Modified Bat Algorithm. Towards examine the model, using the NSL-KDD data’s and the survey of Modified Bat Algorithm will be discussed. Moreover, these methods do well to improve DAEN classifier and get reliable performance in standing of accuracy (96.06%), attack detection rate (95.05%).
Synthesis and Characterization of Magnetorheological Fluids
Authors:   Department of Mechanical Engineering, Suresh Gyan Vihar University Jaipur, India., Kumar* Anil , Kumar Neeraj ,   Department of Mechanical Engineering, Suresh Gyan Vihar University Jaipur, India., Niranjan M. S. ,   Department of Mechanical Engineering, D.T.U. Delhi, India.
Published: May 2020

Magnetorheological fluids (MRF) are mixture of ferromagnetic micron sized particles in silicon or hydraulic oil carrier fluid. By application of external varying strength magnetic field various physical properties of these fluids can be controlled and they becomes semi-solids depending on magnetic field strength application.MR fluids fulfill the desired performance requirements i.e. on application of magnetic field exhibits high shear and low initial viscosity, quick response , low hysteresis, low power consumption and temperature stability These special properties of MR fluids made them suitable for many type of industrial applications including machining. Hence fluids can be very effectively used in magnetorheological finishing process (MRF) which has unique feature of finishing truncated and complicated geometrical shapes and surfaces and capable of producing surface in nanometers. As surface finish is an important parameter in precision fits, product quality, and high-strength applications. The three dimensional surfaces finishing works such as different angled deep pockets or projections. Many industries have this type of i.e. mould & dies manufacturing, automobiles manufacturing, aerospace industry, semiconductor machining and optics machining etc. Such application leads to enhanced demand of nano-finishing of 3D surfaces without damaging surfaces/sub-surfaces. As due to change in properties because of change in composition the MR effect is also influenced. Therefore the composition of MR fluids is very important to achieve desired MR effect. The composition of magnetorheological fluids can be evaluated with the help of characterizations and desire MR fluid can be synthesized according to requirements of the process. This paper will explain in detail how we can synthesize and characterize the Magnetorheological fluids using state of the art equipments and can optimize their performance.
Alzheimer Disease Classification using Machine Learning
Authors:   CSE Department, Mahatma Gandhi Institute of Technology, Hyderabad, India,, Begum* Gousiya , Manisha A Sai ,   CSE Department, Mahatma Gandhi Institute of Technology, Hyderabad, India
Published: May 2020

Alzheimer's disease is the most popular and persuading dementia that affects our memory power, reasoning and deportment. Symptoms rise up slowly and worsen with time, becoming an obstacle in doing our routine tasks. Alzheimer is not conventional wedge of aging. The substantial and known risk factor is up surging age. The prevalence of AD is depicted to be around 5% after an age of 65 years and took a leap of 30% for people of 85 years old in developed countries [1]. In this project we proposed a detection and classification technique using Random Forest(RF) and Support Vector Machine(SVM) algorithms on the oasis longitudinal data set and compare their respective accuracies to come to a conclusion that which algorithm best suits for this detection and classification. Paper Setup must be in A4 size with Margin: Top 0.7”,
Strength Properties of Steel Slag Concrete Prepared with Partial Replacement of Cement with Silica Fume
Authors:   M.Tech, RIMT University, Punjab, India., Rangrez* Haider Feroze , Singla Dr. Sandeep ,   HOD, Department of Civil Engineering, RIMT University, Punjab, India., Hussain Dar Er. Mudasir ,   MD, M-Square Architects, Designers & Consulting Engineers Handwara J&K, India.
Published: May 2020

Concrete is a very versatile material. The rapid growth of the industry produces a large amount of by-products and waste, which can be used as SCM machines for ash, silica fume, slag, melting of granular soil, iron slag, etc. This waste is used to improve concrete structures with a new blending framework. Cement, sand and aggregate were mixed in a certain ratio. The proportion began to maximize the strength of the concrete mixture. In real time, the mixture could be easily nourished on construction projects, so it took a certain amount of time to achieve sustainable benefits. It is usually 28 days to get a full booster for the production of the mixture. Aggregates and silica fume were mixed at specific levels of 0%, 5%, 10%, 15% and 20%. This inclusion was tested and produced the strongest distribution at any given time. Analyzes of compressive strength, insulation tension, flexural strength, and shear strength tests were performed on concrete mixtures from M-0 to M-20. This paper examines the aforementioned tests on various compositions of the material.
Variables of Service Quality Facilitating Client Contentment in Indian Bike Industries
Authors:   Department of Mechanical Engineering, Moradabad Institute of Technology, Moradabad, India., Khan* Mohd Talha
Published: May 2020

Clients of automotive service industries are always anxious for after sales service. The objective of this research is to determine the association of variables of service quality and client contentment in bike industries. The information was gathered using convenience sampling technique from 150 users of bike industries in the form of questionnaire developed using SERVQUAL model. The important variables were extracted utilizing exploratory factor analysis. Hypothesis of the research was analyzed using multiple regression analysis and ANOVA. The results of the research revealed that the variables reliability, empathy, responsiveness, assurance, accessibility and convenience are found statistically significant to determine customer contentment whereas tangibility is not found significant to determine customer contentment and findings indicate that management have to focus on attributes like interest in solving clients’ problem, clients’ question to be answered timely by staff, trust in you to be inculcated by staff, individual consideration by staff and stopping region.
Blood Content Prediction using Deep Learning Techniques
Authors:   Assistant Professor, Sri Krishna College Of Technology, Coimbatore, India., Nivetha* Ms. N. R. P. , Moulya Ms. C. P. ,   Department of CSE, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India., Parveen Ms. A. Rumana ,   Department of CSE, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India., Shree Ms. R. Narmatha ,   Department of CSE, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India., Ragupathy Mr. S. ,   Department of CSE, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India.
Published: May 2020

Cells in the human circulatory system and identifying the types and its functionalities cannot be done through naked eye. This asks for greater accurate methods of visualizing it and hence is vital in understanding blood disease causes, symptoms and the solution for them. But this field lacked clearance for the imaging system. Image Recognition was innovated using Deep Learning Technique.Human body cells assume an astounding job in the human resistant framework. To know more about blood-related infections and its effects, pathologists need to think about the attributes of cells. To diagnose a blood related disease, we need to identify and characterize blood samples of patients. In the medical field, automation for detecting and classifying blood cells and its subtypes have gained more importance nowadays. Recognition of an object is a basic piece for the vision of a computer that distinguishes an article in the given picture regardless of foundations, impediment, lighting or the edge of the view. Problems that are too difficult to solve can be handled using architectures that run deep using algorithms that dive deeper into the features extracted from the input and this can be possible using Deep Learning.
Incorporating the use of I.T Resources on Technological Courses with Active Learning Tactics
Authors:   Muqeeth Computer Science Department, College of Arts and Science, Prince Sattam Bin Abdul-Aziz University,Wadi Al Dawassir, Riyadh, K.S.A., Gulam* Mr.Mujthaba , Kolhar Dr.Manjur ,   Computer Science Department, College of Arts and Science, Prince Sattam Bin Abdul-Aziz University, Wadi Al Dawassir, Riyadh, K.S.A., Ameen Dr.Aballa Al ,   Computer Science Department, College of Arts and Science, Prince Sattam Bin Abdul-Aziz University, Wadi Al Dawassir, Riyadh, K.S.A, Rahmath Dr.Moahmmed ,   Computer Science Department, College of Arts and Science, Prince Sattam Bin Abdul-Aziz University, Wadi Al Dawassir, Riyadh, K.S.A.
Published: May 2020

One amongst innumerable deeds of Almighty is hominid due to its learning abilities. The main potential of learning is to acquire knowledge from different sources and apply it on real world applications. Learning is a technique of knowledge achievement and applying this knowledge over several application domains. This knowledge can be assimilated both by means of passive learning and active learning. Since many years traditional or passive learning played a prevailing role due to direct interaction of faculty and learner. Unfortunately these type of learning fails to attain the objectives of all the modern technological courses. This paper tries to demonstrate the learning methods like traditional and active which can conceive the outcomes of the courses as per the accreditation bodies. We also focuses on the pitfalls of traditional learning can overcomes by using active learning methods. In this paper we tried to focus on numerous active learning methods like class room observations, thinking & sharing of considerable thoughts among learners, Practical learning or achievements, brain storming, problematic based & result based learning and others. We tried to incorporate these learning methods both active & passive type to technical courses like software engineering and programming languages. The graphs are plotted after applying these learning methods on these courses. We also present a comparative study on how these active learning strategies can be beneficial in attaining the outcomes of National Qualifications Framework under National Commission for Academic Accreditations and Assessment accreditation body. This paper can be very much beneficial for all educators to select appropriate teaching strategies according to their courses before its commencement.
Performance of MIMO FBMC-OQAM and MIMO OFDM-QAM under time Synchronization Errors in Perfect CSI and Imperfect CSI
Authors:   Research Scholar, ECE Department, Vidyavardhaka College of Engineering, Mysuru, Affiliated to VTU, Belagavi, Karnataka, India., K R* Arjun , Surekha Dr. T P ,   Professor, ECE Department, Vidyavardhaka College of Engineering, Mysuru, Affiliated to VTU, Belagavi, Karnataka, India.
Published: May 2020

The requirement of flexible allocation of available limited frequency resources led to rethink the possibilities to find an substitute to Orthogonal Frequency Division Multiplexing (OFDM) [1], which can also meet the necessities of future wireless communication. In this paper, we have compared one such alternative to OFDM, which is Filter Bank Multi Carrier (FBMC) [2] with Offset Quadrature Amplitude Modulator (OQAM) . The BER performance of OQAM based MIMO FBMC compared with QAM based MIMO OFDM for various channels conditions and using different prototype filters [3] for FBMC and under the influence of Timing Offset errors with perfect CSI and imperfect CSI. Implementation of MIMO into OQAM-FBMC has a computational complexity compared to MIMO OFDM and we have used block coded MIMO OQAM-FBMC for simulation. Three prototype filters RRC, Hermite and PHYDYAS are used to analyze the performance of OQAM-FBMC in relations of Signal to Interference Ratio under time offset and found that performance of PHYDYAS prototype filter outperforms RRC and Hermite prototype filters.
Intelligent Chatbot for Medical Assistance in Rural Areas
Authors:   Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India., Arulmangainayaki V. , Harini M. ,   Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India., Keerthiga M. ,   Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India., Priya* M. Deva ,   Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India.
Published: May 2020

In today’s world, 918 million rural people are more easily connected to the internet than doctors. The rural part of India is still in crisis due to lack of doctors and gets only one-third of hospital facilities. 80% doctors are available only in urban areas. In this paper, an application is developed with a motive of connecting doctors and assisting medication primarily focusing on rural and urban areas. The main idea is to create a user-friendly virtual assistant which helps every citizen, mainly residing in the rural parts of India. There are few industrial bots for News, Weather, Trends and perhaps different day-after-day events that manifest themselves within the general class. The proposed application takes a prominent place in the medical field. The bot recommends the best medical practice to the patients in treating minor medical issues. In the future, this Medical Chatbot can be trained with doctors to treat some minor surgeries.
Reduction of Power Quality Issues in Micro-Grid using Neural Network Based DVR
Authors:   Research Scholar, Department of EEE, Sathyabama University, Chennai, India., H. S* Thaha. , Prakash Dr. T. Ruban Deva ,   Principal & Professor , Department of EEE, Heera College of Engineering and Technology, Nedumangad, Kerala, India.
Published: May 2020

As the current vitality situation deals with one serious issue is Power quality. Power quality has been progressively applicable, centered, with the expansion of reasonable hardware, where its conduct is especially critical to the quality of power input supply. Issue due to power quality is a wonder pointed as an uncommon standard current, voltage recurrence that brings about a disappointment of advanced gadgets. The primary matter centers at the voltage enlargement & dips. Here, creators introduce a specific system for the aversion of the voltage enlargement & dips. To amend the matter pointed out above, modified power types of gear are embraced. One of them, Dynamic Voltage Restorer (DVR), the foremost just as exact progressed redid control hardware utilized in power dispersion systems. The favorable circumstances incorporate scaled down value, small scale, with great dynamic reaction with regard to obstructions. Customary type controller like Proportional-Integral one and Neural Network (NN) based DVR Controller are utilized here for examination. In the proposed technique, NN based DVR controllers actualized are supplanted by the regular PI controller to build up the exhibition of the system. The point of the controller is built quicker than customary procedure found controller. By MATLAB reproduction apparatus, the presentation shall be considered.
Live Scan Plebiscite System
Authors:   Department of Electrical and Electronics Engineering, Kongu Engineering College,Erode,India., Mullai. K* Kavin , Kumar S. Nandha ,   Department of Electrical and Electronics Engineering, Kongu Engineering College, Erode, India., Kumar J. Arun ,   Department of Electrical and Electronics Engineering, Kongu Engineering College, Erode, India., Karthick P. ,   Department of Electrical and Electronics Engineering, Kongu Engineering College, Erode, India., Lakshmi A.M. ,   Department of Electrical and Electronics Engineering, Kongu Engineering College, Erode, India.
Published: May 2020

Live scan plebiscite system is an electronic system or device employed in any legal system to cast their votes rather than ballot papers and boxes which used earlier in conventional Election system. The traditional system may be a long, time-consuming process and there’s a clear stage of error and malpractices. Later the system was replaced by electronic voting machine. To overcome the disadvantages of the electronic voting system, biometric identifiers are included in the voting system. Our proposed system consists of a Ballot unit with biometric system. This system verifies the biometrics of the candidate with the already stored data in Aadhar or voter identification card. In the proposed system the voter should verify his/her finger print and only if it matches they can vote.The data of the voters are stored in the cloud and can be retrieved from anyplace, so the voter can vote from any place outside the constituency. In the Electronic voting system, there is a simple unit called ballot unit which is used to record the votes. In this electronic voting only, the votes are recorded and counted and there is no separate unit to verify the voter, so anybody can record the votes and any number of times.
Data Encryption to Decryption by using Laplace Transform
Authors:   Assistant professor, Department of Mathematics, Praveenya Institute of Marine Engineering, Visakhapatnam, India., Kiran* D. M. K. , Kameswari Dr. M. V. R. ,   Associate Professor, Department of Mathematics, Gitam Institute of Technology, GITAM University, Visakhapatnam, India., Sujatha Capt. Dr. K. ,   Head & Professor, Department of Mathematics & Statistics, St. Joseph’s College for Women(A), Visakhapatnam, India, Sastry K. R. K. ,   Associate Professor, Department of Electronics and Communication Engineering, Gayatri Vidya Parishad College of Engineering (Autonomous), Visakhapatnam, India., Naidu B. Ramu ,   Faculty of Mathematics, AU PG Campus, Vizainagaram, india.
Published: May 2020

In this paper, we introduce an encryption and decryption procedure with high security by mathematical model, using Laplace transformation and Inverse Laplace Transformation for the given transforming data from one end to other end. We also give an example. Here we convert plain text to ASCII code. We take two primes as a primary key for encryption and decrypt in of the original data.
Prediction of Student Performance System using Machine Learning Techniques
Authors:   Computer Science and Engineering, National Engineering College, Tamil Nadu, India., J* Preethi , Maheswari Dr. S. ,   Computer Science and Engineering, National Engineering College, Tamil Nadu, India.
Published: May 2020

Educational organizations are unique and play the utmost significant role in the development of any country. In the Educational database, due to the enormous volume of data for predicting student's achievement becomes more complicated. To upgrade a student's performance and triumph is more efficient in a practical way using Educational Data Mining Techniques. Data Mining Techniques could deliver favor and brunt to educators and academic institutions. The student's data ((i.e.) Name,10th %,12th cut off, CGPA, No of arrears, etc.) are gathered. Then, the datasets are imported into the Anaconda Navigator. Then, analysis and classification based on attributes of the students and the schemes are performed. Then using the prediction algorithm Naïve Bayes what are all the features the particular student is eligible for are predicted as placed. The student's input that has disparate data about their past and present academics report and then apply the Naïve Bayes algorithm using Anaconda Navigator to search the student's achievement for placement. A proposed methodology based on a classification approach to finding an improved estimation method for predicting the placement for students. This project can find the association for academic achievement of each particular student and their placement achievement in campus selection.
Microbial Fuel Cell for Electrical Power Generation from Waste Water
Authors:   Electrical and Electronics Engineering, SRM TRP Engineering College, SRM TRP Engineering College, Tiruchirappalli, Tamilnadu, India., GANESH* Dr. S. , Brinda M. ,   Electrical and Electronics Engineering, SRM TRP Engineering College, SRM TRP Engineering College, Tiruchirappalli, Tamilnadu, India., Devibala A. ,   Electrical and Electronics Engineering, SRM TRP Engineering College, SRM TRP Engineering College, Tiruchirappalli, Tamilnadu, India., Jayabharathi S. ,   Electrical and Electronics Engineering, SRM TRP Engineering College, SRM TRP Engineering College, Tiruchirappalli, Tamilnadu, India., Shivarekka M. ,   Electrical and Electronics Engineering, SRM TRP Engineering College, SRM TRP Engineering College, Tiruchirappalli, Tamilnadu, India.
Published: May 2020

In the last decades, the microbial fuel cell (MFC) has increased great opportunity as an alternative energy source through electrochemical process for producing bio-energy. MFC has been involved in anode and cathode for electric energy generation from organic ingredients such as bacteria in waste water treatment. In this review, we discussed the different types of MFC (anode and cathode) materials with various integrations. In addition, it includes the gainful, biocompatible and exceedingly constant electrode materials with enhanced microbial fuel cell performance. Following this review, expansion in membrane materials such as hydrocarbon polymer, perfluorinated polymer, organic-organic hybrid polymer, ceramics, organic-inorganic hybrid composite, and biopolymer membranes are clarified in detail. In this paper, also highlighted the application of MFC technology and the methods used in the MFC in electricity production.
Bridge Safety Monitoring System using IOT
Authors:   Assistant Professor in Sri Krishna College of Technology, Tamil Nadu, India., Dhanalakshmi* Ms B. , Prakadeesh Mr. A. ,   CSE, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India., Kumar Mr. R.Roshan ,   CSE, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India.
Published: May 2020

In this study, Bridge safety monitoring system using IOT is developed using the Wireless technology.With the help of Advancements in sensor technology have brought the automated real-time bridge health monitoring system. This system will help prevention in disaster management and recovery.IOT-based bridge safety monitoring system is developed using the Wireless Technology. By the use of wireless sensor nodes, various types of data can be collected like vibration, waterlevel and Bridge weight. Thease data would also be useful for monitoring and surveillance. The main moto of this paper is to develop a system that can prevent accidents or structural disasters of flyovers and bridges. This study gives the survey of various techniques used to monitor the conditions of the bridges and proposed a system for monitoring continuous structures and an ultrasonic sensor for monitoring the water level in the river to avoid traffic from a bridge in flood conditions using Kalman’s Filter algorithm. In case of emergency situations the gates of the Bridge will be automatically closed. The obtained data are transmitted to the server and database for admins to have real-time monitoring of the bridge conditions via mobile telecommunication devices.
Prediction of Orchard Soils Degradation using Munsell Soil Color
Authors:   College of Environment and Natural Resources, Can Tho University, Vietnam, India., Minh* Vo Quang , Khoa Le Van ,   Department of Research Affairs, Can Tho University, Vietnam, India, Thanh Du Thai ,   College of Environment and Natural Resources, Can Tho University, Vietnam, India., Than Vu Pham ,   College of Environment and Natural Resources, Can Tho University, Vietnam, India., Tri Le Quang ,   College of Environment and Natural Resources, Can Tho University, Vietnam, India
Published: May 2020

The soil organic carbon content played an important role in reducing soil fertility, then fruit yield and quality. Several studies in Mekong Delta, Vietnam area showed that soil of orchards was degraded after longtime constructed. The prediction of soil organic carbon in the fields at wider regions requires a large number of samples that are costly to analyze. The objective of this study found out the correlation between Munsell soil colour with the content of organic matter of the different orchard soils to predict the content of organic carbon from 52 orchard soil samples of the different ages of construction as soil degraded. A case study in Hau Giang province, Vietnam. The results showed that there was a complicated relation to soil properties. Soil colour has the same Munsell Hue, but there is different between Munsell Value and Chroma when the soil has at the same humidity. Organic Carbon content ranged from 1,32 to 5,6%. There was negative significant correlation between organic C content and Munsell soil color properties, such as with Munsell Value (r = -0,75** air-dry, r = -0,74** moist); Munsell Chroma (r= -0,55** air-dry, r = -0,66** moist). Since, Visual soil colour assessment is useful predictors of organic C content, especially for topsoil layers to predict the degradation of orchard soils. This study indicates that soil organic content can be predicted by using Munsell soil colours for visual field measurements on the old raised bed at the moist condition, which can be used for field soil fertility degradation recommendation. However, more study of pedotransfer function on other soils condition must be correlated for further recommendation.
Databases, Features and Classification Techniques for Speech Emotion Recognition
Authors:   Dept. of Computer Engineering & Technology, Guru Nanak Dev University, Amritsar, India., Kaur* Jasmeet , Kumar Anil ,   Dept. of Computer Engineering & Technology, Guru Nanak Dev University, Amritsar, India.
Published: May 2020

Emotion recognition is a rapidly growing research field. Emotions can be effectively expressed through speech and can provide insight about speaker’s intentions. Although, humans can easily interpret emotions through speech, physical gestures, and eye movement but to train a machine to do the same with similar preciseness is quite a challenging task. SER systems can improve human-machine interaction when used with automatic speech recognition, as emotions have the tendency to change the semantics of a sentence. Many researchers have contributed their extremely impressive work in this research area, leading to development of numerous classification, feature selection, feature extraction and emotional speech databases. This paper reviews recent accomplishments in the area of speech emotion recognition. It also present a detailed review of various types of emotional speech databases, and different classification techniques which can be used individually or in combination and a brief description of various speech features for emotion recognition.
Agro-Recreational eco-Settlements Network Formation Under the Step-by-Step Service System Conditions
Authors:   Department of Urban Planning, O.M. Beketov Kharkiv National University of Urban Economy, Kharkiv, Ukraine., Pavlenko* Tetiana , Ovsiienko Olena ,   Educational–scientific institute of architecture and civil engineering, National University “Yu. Kondratyuk Poltava Polytechnic”Poltava, Ukraine, Ovsiienko Dmytro ,   Educational–scientific institute of architecture andcivil engineering, National University “Yu. Kondratyuk Poltava Polytechnic”Poltava, Ukraine., Kuznetsova Yulia ,   Faculty of Humanities, National University “Yu. Kondratyuk Poltava Polytechnic”, Poltava, Ukraine.
Published: May 2020

The algorithm of forming a network of agro-recreational eco-settlements in the step-by-step service system conditions is defined in the article. The peculiarities of agro-recreational eco-settlements network formation under the conditions of a step-by-step service system are given the case of certain administrative districts of Poltava region, Ukraine. Depending on the taxonomic structure of the agro-recreational eco-settlements territorial organization, the levels of their functional-planning organization have been formed: agro-recreational eco-locality, agro-recreational eco-center, agro-recreational eco-zone, agro-recreational eco-district, agro-recreational eco-region. On the basis of the algorithm of agro-recreational eco-settlements network formation, the landscape ecological integrity of the agro-recreational eco-settlements and their network was estimated using the landscape ecological integrity index and the dimensions of settlements greening were determined.
Optimization of Critical Factors of Northern Railway Network using TISM and DEMATEL
Authors:   Department of Mechanical Engineering, Delhi Technological University, Delhi, India., Kaushik* Reetik , Singh Roopa ,   Department of Mechanical Engineering, Delhi Technological University, Delhi, India., Jaiswal Yasham Raj ,   Department of Mechanical Engineering, Delhi Technological University, Delhi, India., Singari Ranganath M. ,   Department of Mechanical, Production and Industrial Engineering, Delhi Technological University, Delhi, India.
Published: May 2020

The Indian railway network is one of the largest rail networks that undergo continuous expansion. However, more reliable and safe service in-network is subject of growing attention in India but to work on these challenges is a cumbersome task as each factor is influencing each other. Studying these parameters is tedious task and will contribute significantly to improving the operations and overall management of railway network. The purpose of this research study is to identify and optimize different vulnerable factors that are affecting smooth functioning of railway network through identification of hierarchical correlations among parameters and prioritizing performing a specific order for identification and improvement. Thus keeping in mind the perspective the research is based on an integrated approach of DEMATEL (Decision-making trial and evaluation laboratory) and TISM (Total interpretative structural modeling). Based on extensive review of literature and expert opinion, 15 vulnerable parameters were identified and expert elicitation was applied to determine correlation among factors. The scope of this research suggests that five layers structural model can be formed. Network layout and emergency measure during disaster held maximum weight and individual workload, stress, and different environmental conditions were independent factors inclined at lower levels. The research provides reliable information for decision-makers to form active strategies and management policies for more adequate and reliable system of network. Also more safe and profitable network that will promote sustainable development throughout India. This study provides more efficient, efficacious, robust and systematic way to surmount challenges.