bluuebunny/crossref_metadata_2025 huggingface dataset:
«ДОПОМОГА ІНШОМУ» ЯК СТРАТЕГІЯ ПРОСОЦІАЛЬНОГО РОЗВИТКУ ОСОБИСТОСТІ
Authors: Derevyanko Natalia
Published: December 2019

У статті визначено, що вибір типу поведінки особистості залежить від особистісних та соціальних чинників. Охарактеризовано просоціальну поведінку як поведінку, що здійснюються з метою допомоги на користь соціальних спільнот та передбачає отримання користі допомагаючим, що відрізняє її від альтруїстичної поведінки. Наведено форми просоціальної поведінки. Описано класифікації типів допомоги за різними параметрами (за Ільїним). Наведено характеристики типів допомоги: за складом тих, хто бере участь у допомозі (індивідуальна і групова), за часовим параметром (короткочасна (разова)) і довготривала (більш менш постійна, проявляється як турбота про когось), за змістом (матеріальна, фізична, інтелектуальна і моральна). Зроблено висновки, що допомога іншому передбачає суб’єкт-суб’єктну взаємодію, і спрямована на покращення морального, матеріального, фізичного, інтелектуального становища того, хто потребує допомоги. Досліджено, що допомога іншому передбачає певний рівень мотивації і сукупність мотивів і потреб, які необхідно задовольнити допомагаючому. Визначено, що допомога іншому, передбачає двосторонню користь від допомоги, вона має статус засобу саморозвитку того, хто допомагає, у різних сферах залежно від мотивів його діяльності.
ОСОБЛИВОСТІ НАДАННЯ ПСИХОЛОГІЧНОЇ ДОПОМОГИ ОСОБАМ З НИЗЬКИМ РІВНЕМ ПСИХОЛОГІЧНОГО БЛАГОПОЛУЧЧЯ: МОЖЛИВОСТІ ТА ОБМЕЖЕННЯ
Authors: Karhina Natalya
Published: December 2019

У статті надаються рекомендації практичним психологам, що спрямовані насамперед на підвищення загального рівня психологічного благополуччя особистості. У роботі з особами із низьким рівнем психологічного благополуччя, практичний психолог на перших етапах своєї роботи може використовувати бесіду, йому також можуть знадобитися різноманітні арт-терапевтичні методики; відзначаються можливості та обмеження психологічного супроводу осіб із низьким рівнем психологічного благополуччя. Робота щодо підвищення психологічного благополуччя носить досить складний та комплексний характер, й може містити в собі гармонізацію власного психічного стану, різноманітні техніки релаксації, формування та закріплення соціальних навичок, здатність людини інтегрувати особистий пережитий травматичний досвід, включати його в автонаратив, досягнення балансу між внутрішньою автономією і навичками взаємодії з оточенням; підвищувати власну самоефективність завдяки активізації відповідальності за своє майбутнє, суто клінічні інтервенції при необхідності тощо.
ВПЛИВ ЕМОЦІЙНОЇ СФЕРИ НА ПРОЦЕСИ АДАПТАЦІЇ ПЕРШОКЛАСНИКА ДО НАВЧАЛЬНОГО ПРОЦЕСУ
Authors: Kriukova Liudmyla
Published: December 2019

У статті розкриті особливості адаптації молодшого школяра до навчального процесу. Проаналізовано останні дослідження з проблеми. Виявлено, що дана проблема набула суттєвого значення на сучасному етапі розвитку педагогічної науки. Зроблено висновок, що рівень розвитку емоційної сфери дитини визначає, наскільки адаптованою буде дана дитина до відповідного середовища. Визначені причини та форми дезадаптації першокласника до шкільного навчання. Виділені основні аспекти адаптації школяра. Розглянуто основні складові адаптивності дитини до шкільного навчання. Вивчено, що стан емоційного дискомфорту є однією з причин шкільної дезадаптації та порушення психічного здоров’я школяра. Встановлено, що адаптаційний процес буде відбуватися швидше та ефективніше при позитивному розвитку емоційної сфери першокласника. Запропоновано для підвищення рівня адаптації на основі розвитку емоційної сфери проводити т.з. кольорові експерименти, які допоможуть сформувати позитивне ставлення першокласника до навчання в школі. Такі експерименти за допомогою кольору можуть ефективно вплинути на емоційну сферу першокласника, сформувати запас позитивних емоцій щодо навчального процесу та підвищити рівень шкільної адаптації.
ШЛЯХИ ФОРМУВАННЯ ПОЧУТТЯ ВЛАСНОЇ ГІДНОСТІ ОСОБИСТОСТІ В ОНТОГЕНЕЗІ
Authors: Kulakova Larysa , Kulakov Ruslan
Published: December 2019

У статті з позицій сучасних теоретико-прикладних наукових досліджень висвітлюється проблема психологічного феномену особистісної гідності як складової моральної свідомості. У статті систематизовано численні характеристики гідності як найважливішої моральної якості, інтегративності людської реальності, вищої цінності. Визначено, як на державному рівні декларується гідність людини її захист у правовому полі. Здійснено аналіз останніх досліджень проблеми формування почуття власної гідності особистості у вітчизняній та зарубіжній психології. Визначено основні аспекти прояву почуття власної гідності особистості, а саме: як психологічний феномен і як особистісна диспозиція. Здійснено аналіз основних факторів, що впливають на формування у дитини самоповаги, адекватної самооцінки та почуття власної гідності (сім’я, батьки, соціальне оточення і т.д.). Зокрема, основну увагу зосереджено на важливості впливу дорослих та соціального оточення на формування цього психологічного конструкту. Встановлено основні етапи становлення почуття власної гідності дитини на прикладі піраміди основних потреб людини Маслоу.
STRATEGIC OVERVIEW OF FINANCIAL SUPPORT FOR THE DEVELOPMENT OF SMALL INNOVATIVE ENTERPRISES IN UKRAINE
Authors: VANKOVYCH Danylo , KULCHYTSKYJ Myroslav
Published: December 2019

Introduction. Small innovative businesses play an important role in the economy of developed countries and are an essential element of the innovation process. Small enterprises are the most flexible, dynamic and widespread form of enterprises.

Ukraine’s aspiration to European integration necessitates the introduction of an innovative model of development, one of the components of which is the development of a domestic innovation enterprise, which prompts to seek new approaches to the implementation of scientific, technical and innovative potential of the country’s economy.

The purpose of the article is to find out the features and problems of financial support for the development of small innovative enterprises in Ukraine and to substantiate directions for its improvement.

Results. According to the data of the State Statistics Service of Ukraine, innovation activity in Ukraine in 2018 was carried out only by every eleventh enterprise. The share of enterprises that introduced innovations in 2017 amounted to 16.2%, and those engaged in innovations 14.3%, respectively. At the same time, the share of innovative products in the total industrial volume was, according to the results of 2017, only 0.7%. In Ukraine, as of January 1, 2018, in the total number of enterprises (338256 units), the share of small business entities amounted to 95.5%. This testifies to the dependence of the level of development of the Ukrainian economy on their innovative activity.

Among the range of obstacles to the successful functioning of innovative entrepreneurship, the problem of low efficiency of functioning of the financial mechanism of ensuring their development is the most urgent. Particular attention should be paid to the use of national competitive advantages, avant-garde industries, high-tech industries, such as space technology, aviation industry, biotechnology, tool manufacture, defense and industrial complex. Innovation demand in Ukraine should become not only an economic category but also an essential property of a person’s character.

Conclusions. The development of innovative entrepreneurship is not carried out quickly and purposefully. Its potential, as the main tool for commercializing scientific ideas, is practically not implemented in Ukraine. Before small innovative enterprises, there are many barriers and obstacles that prevent them from working effectively.

Thus, in order to provide effective financial support for the development of small innovative entrepreneurship, it is necessary, first of all, to improve the financial and tax policy of supporting small businesses, as well as to increase the efficiency of the use of established institutions of market infrastructure for supporting small businesses. The details of the mechanisms for implementing these measures should be the subject of further research, the results of which will be highlighted in the following publications.
METHODICAL TOOLS FOR FINANCING INNOVATION IN THE AGRO-INDUSTRIAL COMPLEX
Authors: HALATUR Svitlana , HALATUR Oleksandr
Published: December 2019

Introduction. Today in the conditions of European integration in Ukraine, the development of industries with a great innovative potential is becoming urgent, which is impossible without attracting funding. Therefore, the methodological toolkit for financing innovation in the field of agribusiness should provide competitive advantages for Ukrainian producers and stimulate economic growth.

Purpose. The article is devoted to the study of methodical tools for attracting financial resources into the innovative activities of enterprises of the agro-industrial complex.

Results. According to the statistics, it is determined that the main source of financing for innovation activity in Ukraine is the enterprise’s own resources, and the most promising sector for attracting investments in Ukraine is the agro industry. The modern methods of financing innovative activity in the agro-industrial complex are explored in the article. Based on a comparative analysis, the potential benefits and risks of applying the methods of financing the innovation activity of enterprises are determined. The criteria for innovation and investment attractiveness of enterprises that attract financial resources for innovation are proposed.

Conclusions. The agro-industrial complex is a priority investment direction for domestic and foreign investors. The scientific approach to the application of financing methods in innovation is required now. In modern conditions various methods of financing the innovation activity of the agro-industrial complex have been formed, among which special attention should be paid to financing through venture capital, the involvement of business angels and the development of state funding and support programs for agribusiness.

The optimal way of attracting resources into the agribusiness is to create an optimal structure of financing from different sources. For those who plan to finance innovative activities in the agroindustrial complex, it is advisable to use the relevant criteria of the investment and innovation attractiveness of the enterprise in order to identify the most promising and reliable enterprises.
Assessing the Impact of Barrack Environment on Independent Mobility of Children in the Military Barrack of Nigeria
Authors:   PhD Candidate, Department of Architecture, Faculty of Built Environment and Surveying, Universiti Teknologi, Malaysia 81310 Skudai Johor Bahru, Malaysia., Daodu Tosin , Said Ismail ,   Professor, Greenovation Research Group, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia. 81310 Skudai Johor Bahru, Malaysia., Ologbonde John K ,   Department of Quantity Surveying, Faculty of Environmental Studies, Rufus Giwa Polytechnic, Owo, Ondo State, Nigeria.
Published: December 2019

Independent mobility of children living in the barrack is declining over the last four decades due to its unfriendly environment. There are limited studies on children-environment relationships in Nigeria, especially in the barrack. Available studies from social sciences and public health studies lack policy connection with the child-friendly environment for improved independent mobility. Hence, this study aimed to develop a child-friendly barrack environment policy framework for enhanced independent movement of children. The safety and security, barrack environmental quality, basic services, quality of housing, and children’s participation were five characteristics of a child-friendly environment considered. They exogenously predicted improved independent mobility of children in the barrack. On the other hand, the endogenous construct consists of the land-use change, destination accessibility, home range, travel time, and population density of the barrack. A total of 390 parent and primary school children aged 5-12 living in the Nigerian Air Force Barrack in Kaduna jointly assessed the five barrack environment characteristics and five indicators of children’s independent mobility. The survey questionnaire was analysed using SPSS and PLS-SEM. Consequently, the principal component analysis showed high factor loading for the five characteristics and four independent mobility indicators except for the land use that fell below 0.7 thresholds. The outer weights of the reflexive measurement items were high which signified strong correlations. Hence, barrack environment characteristics strongly predicted improved independent mobility of children. Thus, the structural model’s path coefficient of 0.585 explained 58.5% variance in the independent mobility of children in the barrack residential area. The coefficient of determination R2 value is 0.342, and the p-value is at 0.000 level of significance. It provided an environment planning policy framework to monitor interventions and halt the declining rates of children's independent mobility in the military barrack of Nigeria. The conceptual framework developed is applicable in the para-military barrack, housing estates and compact cities in African countries including Nigeria.
Standardizing the Scale to Measure the Attitude of the Homemakers towards the Management of Household Waste
Authors:   Department of Family Resource Management, S.M.Patel College of Home Science, Sardar Patel University, Vallabh Vidyanagar, Gujarat, India., Srivastava* Kalpana , Gupta Nidhi ,   Department of Family Resource Management, S.M.Patel College of Home Science, Sardar Patel University, Vallabh Vidyanagar, Gujarat, India.
Published: December 2019

Waste management has become one of the major issue universally. Inappropriate waste management could be a threat to environment as well as living beings too. Waste is not generated by any one entity but, industries, business and households are equally responsible for it. Proficient waste management starts from the source itself and for this it’s very essential that individuals should have right attitude towards appropriate waste management. Management of household waste is very much related with the homemaker. The positive attitude of the homemaker can help in efficient waste management. The current research study was regarding standardizing the scale to measure the attitude of the homemakers towards the management of household waste. The scale consisted of two parts: (i) Segregation of household waste (ii) Disposal of household waste. Initially the scale consisted of 48 statements with the .80 reliability but after eliminating 6 indistinct statements the reliability of the attitude scale increased to .85. So finally, the standardized scale to measure the attitude of the homemakers towards the management of household waste was constructed with 42 statements and .85 reliability.
Role of Locus of Control on Micro Entrepreneurs
Authors:   Assistant Professor, Department of Management Studies, Narayanaguru College of Engineering, Kanyakumari District., Anand P.S.Vijay
Published: December 2019

This article is focused on the role of locus of control on the micro Entrepreneurs. Micro Entrepreneurs plays a major role in the development of an economy of a county. Every individual has their own beliefs and their level of outcome of their beliefs depends on their own personality. This level of belief was identified and developed by Julian.B.Rotter in 1954. He developed this as a personality study and his study has been applied in various areas in psychology and also in management .Since we know that difference in gender may place a major role in the success of the enterprises. The research is done mainly to understand the level of Locus of control among the Micro Entrepreneurs and also its influence on the difference in gender. The researcher has used the scale introduced by Rotter to evaluate the locus of control amount the micro entrepreneurs. Sample size of 200 is taken in and around kanyakumari District. for statistical analysis. From the analysis it is found that womens are having more External Locus of control than mens who have more Internal Locus of control.
Descent Condition for a Scalar Parameter of Spectral HS (SpHS) Conjugate Gradient Method
Authors:   Mathematics, Northwest University, Kano, Nigeria., Yakubu* Usman Abbas , Mamat Mustafa ,   Faculty of Informatics and Computing, University Sultan Zainal Abidin, Kuala Terengganu, Malaysia., Mandara Abba Vulgue ,   Department of Mathematic, University of Maiduguri, Borno, Nigeria., Iguda Abdul ,   Mathematical Sciences, Bayero University, Kano, Nigeria., Murtala Salisu ,   Department of Mathematics, Federal University Dutse, Jigawa, Nigeria., Mohamed Mohamad Afendee ,   Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Terengganu, Malaysia.
Published: December 2019

Spectral conjugate gradient method has been used in most cases as an alternative to the conjugate gradient (CG) method in order to solve nonlinear unconstrained problems. In this paper, we introduced a spectral parameter of HS conjugate gradient method resultant from the classical CG search direction and used some of the standard test functions with numerous variables to prove its sufficient descent and global convergence properties, the numerical outcome is verified by exact line search procedures.
Analytical 2D Modeling of Surface Potential and Threshold Voltage for Lightly Doped Substrate NMOS
Authors:   Electronics Department, J. C Bose University of Science & Technology, YMCA, Faridabad, India, Sachdeva* Nitin , Sachdeva Tarun Kumar ,   Electronics Department, J. C Bose University of Science & Technology, YMCA, Faridabad, India
Published: December 2019

Reducing the device dimensions leads to scaling of various parameters like junction depth, supply voltage and gate oxide thickness and results to the variation of threshold voltage. Threshold voltage variations can cause serious design problems. So threshold voltage can be adjusted by various ways which is the most important parameter of the MOSFET. This paper depicts the analytical modeling and simulation of Metal Oxide Semiconductor Field Effect Transistor (MOSFET). The expression for potential at source and drain ends and threshold voltage has been derived and the theoretical values are compared with simulated values. From simulation results from SILVACO TAD tool, threshold voltage of 0.22V is achieved at a work-function of 4.12eV.
A Proposed DNA Postfix Hiding Method
Authors:   computer science, Collage Science for Women, Kahdum* Ghaith Dehiaa ,   University of Babylon, Babylon, Iraq., Al-Bawee SaharAdill ,   computer science, Collage Science for Women; University of Babylon, Babylon, Iraq., Jasim Mahdi Nsaif ,   department of Managementinformation systems, college of Business Informatics,university of information technology and communications,Baghdad, Iraq,
Published: December 2019

Process of sending data through the Internet is vulnerable to tampering and theft, so protection has become a necessity. Many solutions have proposed to solve this problem in order to protect the sending data and conceal them in a way that cannot be penetrated or proven by nature. The paper proposes a method to hide data in a Deoxy ribonucleic acid (DNA) using Postfix conversion according to the embedded bits. The method has proved its security in concealing the information, not predicting its nature, and preserving the biological structure of the DNA sequence.
Role of Artificial Intelligence in Providing Customer Services with Special Reference to SBI and HDFC Bank
Authors:   Guru Nanak Institute of Management Studies, Guru Nanak Institute of Management Studies, Salunkhe* Ritu TuliSameer
Published: December 2019

Technology has changed the operating psychology of the businesses over the last couple of years. There is a growing need and demand to use Artificial Intelligence (AI) and the Indian banking Sector is gradually shifting itself towards using AI. Banks are exploring and implementing technology in various ways. Artificial Intelligence is getting better and smarter day by day. The adoption of AI in banking has grown a lot than other sectors. This is happened because banking sector still has lot of human intervention in the operations. Indian banking sector is exploring the ways to enhance customer services with the help of Artificial Intelligence. This paper is about how Artificial Intelligence (AI) is used by Indian banks with reference to SBI and HDFC Bank to improvise customer services in future.
Improving Energy Consumption of a Node in Wireless Sensor Networks
Authors:   Associate Professor, Department of Computer Science & Engineering, Dayanand Sagar Univesity, Bengaluru, Karnataka, India., Mouleeswaran* Dr.S.K. , Nidhya Dr.M.S. ,   Assistant Professor, Department of Computer Science, School of Computing Sciences, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai, India, Gokilam Dr.G.G. ,   Researcher, Department of CSE,Ponnaiyah Ramajayam Institute of science and Technology,Thanjavur,Tamil Nadu India
Published: December 2019

A node in a Wireless Sensor Networks (WSN) can spend its energy by sending a packet to next node and receiving a packet from other node. A node is having a more number of neighbours. It can lose its energy very quickly when compared with less number of neighbouring nodes. That is intermediate node will always be a transceiver. Most of the time, nodes in the environment spend its energy for sending a repeated data or information. For ex: If any event occurred, single event information is passed to the sink node multiple times. Due to this repeated message, a node lost its energy by sending and receiving the packet to other node. In this paper we proposed an Energy Consumption (ECON) model that will filter the repeated message and it can save the energy of a node. This model will work efficiently in clustered network. Because of this model, the total network lifetime is also increased.
Lemon Leaf Disease Detection and Classification using SVM and CNN
Authors:   Associate Professor, Department of Electronics and Communication Engineering, Kongu Engineering College, Subramanian Balambigai , S Jayashree. ,   Bachelor of Engineering, Electronics and Communication Engineering. Kongu Engineering College, Perundurai, S Kiruthika. ,   Bachelor of Engineering, Electronics and Communication Engineering, Kongu Engineering College, Perundurai., S Miruthula. ,   Bachelor of Engineering, Electronics and Communication Engineering, Kongu Engineering College, Perundurai
Published: December 2019

India is a developing country and agriculture has always played a major role in bolstering the country’s economic growth. Due to various factors like industrialization, mechanization and globalization, the green fields are facing complications. So, identifying the plant disease incorrectly will lead to a huge loss of both quantity and quality of the product and it will also incur loss in time and money. Hence, identifying the condition of the plant plays a major role for successful cultivation. Now a day’s image processing technique is being employed as a focal technique for diagnosing the various features of the crop. The image processing techniques can be used for identification of the plant disease and hence classify the plant disease. Generally, the symptoms of the disease are observed on leaves, stems, flowers etc. Here, the leaves of the affected plant are used for the identification and classification of the disease. Leaf image is captured using a smart phone as the first step and then they are processed to determine the condition of the plant. Identification of plant disease follows the steps like loading the image of the plant leaf, histogram equalization for enhancing contrast of the image, segmentation process by using Lab color space model, extracting features of the segmented image using GLCM (Grey Level Co- occurrence Matrix) and finally classification of leaf disease by using MCSVM (Multi Class Support Vector Machine).This procedure obtained an accuracy percentage of 83.6%.Also, it takes long training time for large datasets. To improve the accuracy of the detection and the classification of the plants, Convolutional Neural Network (CNN) is used. The main advantage of CNN is that it automatically detects the main features of the input without any supervision of human. In CNN identification of disease follow the steps like loading the image as the input image, convolution of the feature map and finally max pooling the layers to calculate the features of the image in detail. The plant diseases are classified with an accuracy of 93.8 %.
Hand Gesture Method to Speech Conversion using Image Segmentation and Feature Extraction Algorithm
Authors:   Electronics and communication Engineering, Vardhaman College of Engineering, Hyderabad,, Nagajyothi* D. , Srilatha M. ,   Electronics and communication Engineering, Vardhaman College of Engineering, Hyderabad, Jyothi V. ,   Electronics and communication Engineering, Vardhaman College of Engineering, Hyderabad,
Published: December 2019

Hand gestures are used by the speech impaired persons to easily communicate with others. Hand gesture is a visual language, different from spoken language but serves as the same purpose of spoken language. Image segmentation and feature extraction algorithms are used to recognize the hand gestures of the deaf people .In this paper the proposed system will not only recognize the hand gestures but it will translate into suitable messages by using skin color segmentation. With the help of speakers speech playback is possible in the MATLAB.
Market Reaction to Stock Splits Announcement--An Analysis of Abnormal Returns
Authors:   Associate Professor, G. V. M’ S G. G. P. R. College of Com. & Eco, Farmagudi, Ponda – Goa, Rane* Dr. Prabhakar
Published: December 2019

The purpose “of the paper is to analyze and interpret the effect of stock splits announcement on the stock price in the Indian context. The sample size of the paper includes 86 initial stock splits events of listed companies announced during the period from 1998 to 2013. For the study, the daily actual returns for the company and for the NSE Nifty Index are calculated to employ regression model to estimate the expected returns to ascertain the abnormal returns for 91 days window period. A large sample t – test has been conducted to test whether abnormal returns from the stock splits announcement are statistically significant. The study finds that the market reacts to the stock splits announcement negatively” in the Indian context.
Models for Optimisation of Delivery Timing and Volumes under Uncertainty Encompassing Penalty and Customer Attrition Risks
Authors:   Moscow State University named after M.V. Lomonosov, Moscow, Russia, Kosorukov* Oleg , Ilin Igor ,   Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia, Sviridova Olga ,   Financial University under the Government of the Russian Federation, Moscow, Russia
Published: December 2019

The paper proposes a model for inventory management and specifically for determining the optimum volume and timing of deliveries, encompassing the uncertainty of demand. The criteria of efficiency are the minimisation of integral costs and maximisation of profit with due regard for the risks of penalties and customer attrition. The triangular distribution is a reference for the distribution pattern of the stochastic demand and delivery timing fluctuations as it is one of the most common choices in case of insufficient statistical data.
Determination of Ground Water Stressed Regions of Visakhapatnam District using ArcMap
Authors:   Asst. Professor, Department of Civil Engineering, GIT, Gandhi Institute of Technology and Management (GITAM Deemed to be University), Visakhapatnam, A.P., Darapu *Srikanth Satish Kumar , Bomma Hema Sumanth ,   P.G student, School of Mechanical and Building Sciences, Vellore Institute of Technology (VIT) Chennai, Tamil Nadu - 600127, India, Sankeerth Kode Venkata Sayi ,   B.Tech. Student, Department of Civil Engineering, GIT, Gandhi Institute of Technology and Management (GITAM deemed to be University), Visakhapatnam, Andhra Pradesh - 530045, india., Boosala Swathi ,   Asst. Professor, Department of Mechanical Engineering, Vignan’s Institute of Engineering for Women (VIEW), Andhra Pradesh - 530046, A.P., India.
Published: December 2019

Water is essential for human life, which is vastly used for basic needs like drinking and other domestic, irrigational and industrial purposes etc. The main sources of water are classified as surface and sub-surface sources. The surface water resources are varied like rivers, ponds, lakes etc. but the sub-surface resources are only water bearing aquifers. Day by day the sub surface water is degrading due to many reasons like pollution, climate change etc. Therefore, studies on conservation of ground water is important. For the present study, data of ground water levels for eleven years (2007-2017) at 69 locations of various mandals (zones) in Visakhapatnam district (Andhra Pradesh, India) was obtained from the A.P. Ground Water and Water Audit Department, Visakhapatnam. By using ArcMap of ArcGIS and the spatial and temporal variations were mapped onto the base map of Visakhapatnam. The results indicated ‘water stressed areas’ in the study region. It was observed that the ground water levels dwindled drastically in the years 2016 and 2017. The results of the study highlighted the immediate necessity to scale up the ground water conservation measures and efficient design of the ground water resource systems in the area.
Automated Monitoring System for Heart Patients using Ambubot
Authors:   Under graduation , Electronics and Instrumentation Engineering at R.M.K.Engineering College., M* Karthikeyan , M Arvind ,   Under graduation , Electronics and Instrumentation Engineering at R.M.K.Engineering College., NS Jagan Sandibp ,   Under graduation , Electronics and Instrumentation Engineering at R.M.K.Engineering College., V Karthik ,   Under graduation , Electronics and Instrumentation Engineering at R.M.K.Engineering College., S Vijayalakshmi ,   Professor, Department of Electronics and Instrumentation Engineering. She obtained her B.E degree in EEE from Madras University, Chennai
Published: December 2019

Robotic systems are one of the key options for presenting clever services. Time is a fundamental problem when dealing with human beings who face a sudden cardiac arrest that regrettably may want to die due to inaccessibility of the emergency treatment. Therefore, an on the spot treatment the usage of Automated External Defibrillator (AED) should be administered to the victim inside a few minutes after collapsing. Hence we have designed and developed the Ambulance Robot, shortened as AMBUBOT, which brings along an AED in a surprising tournament of cardiac arrest and helps various modes of operation .The prototype with biomedical sensors are utilized for monitoring the affected person health continuously, the region of the patient can also be tracked in case of emergency by using GSM.
A Pre-processing Step for Efficient Edge Extraction
Authors:   Assistant Professor - Senior in SCOPE school, VIT University, Vellore 632014, India., Kumar N* Naveen , Rajkumar S. ,   Associative Professor in SCOPE School, VIT University, Vellore 632014, India
Published: December 2019

In this paper, we propose a pre-processing step for an efficient edge extraction technique that takes input as an original image to generate an edge map. Generated edge maps could be inputted for state-of-art traditional edge detection algorithms like Canny, Sobel, Prewitt, and recent edge detection algorithms gb-UCM, CED Contours, Structured forest, Sparse Code Gradients and CNN based edge detection Deep Edge, N4 to get better performance. Further, the proposed algorithm has not required any training or learning to improve the edge detection method and is not depending on any parameters. Visual experiments and quantitative evaluation results show that our proposed algorithm greatly improves the modal quality of edge/edge maps. It preserves the original shape, structure of the objects and local features, which presents in an input image. The proposed method takes very less amount of time to execute and making it more suitable for real-time image processing and computer vision applications that depend on edge like classification, object localization, object recognition, image retrieval, segmentation, shape representation.
Fuzzy-based Adaptive Multipath for En-route Filtering in Dynamic Wireless Sensor Network
Authors:   Collage of Software Sungkyunkwan University / Product Planning Team Samsung Electronic Suwon, City, Republic of Korea., Kim* Kyoung A. , Cho Tae Ho ,   Collage of Software Sungkyunkwan University, Suwon, Republic of Korea.
Published: December 2019

Wireless sensor network is formed with limited energy resources, easily compromised by an adversary because of hostile environments. Adversary may use compromised nodes to inject false reports and launch DoS attacks, thus, sensor nodes are prone to failure and which makes the network topology configurations highly dynamic in real world applications. A variety of en-route filtering schemes have been proposed to drop and defeat these attacks by using their own cryptographic methods. Some of them ask for a fixed path between a base station and each cluster, so they are not feasible for dynamic network. Additionally, other proposals do not consider various environmental variables in a dynamic environment, so they only choose static paths. In contrast, we consider topology changes, communication costs, the maximum number of key dissemination hops, and the spread of nodes for providing optimum filtering capacity. This paper presents a fuzzy-based adaptive multipath selection method in dynamic environment of a wireless sensor network. Our proposed method can adjust the optimized number of multipaths during key dissemination. Experimental results show that relatively higher filtering capacity with lower energy consumption and suitable nodes for highly dynamic networks.
Ways of Antiepizootic Measures’ Improvement in Case of Cattle Brucellosis
Authors:   Research Institute of Applied Biotechnology, Kostanay, Kazakhstan., Piontkovsky* V.I. , Ergazina A.M. ,   Kostanai State University named after A. Baitursynov, Kostanay, Kazakhstan., Sapa V.A. ,   Kostanai State University named after A. Baitursynov, Kostanay, Kazakhstan., Murzakaeva G.K. ,   Kazakh Agro-Technical University named after S.Seifullin, Nur-Sultan, Kazakhstan., Rudenko E.O. ,   Veterinarian diagnostic laboratory «VetLab», Kostanay, Kazakhstan.
Published: December 2019

The paper discusses epizootic situation of cattle brucellosis in the Republic of Kazakhstan and the subjects of the Kostanai region. The system of comprehensive anti-brucellosis measures based on the major principles with integrated organizational, economic, general veterinary and sanitary and special measures using specific prevention means according to certain schemes or without them, depending on the current epizootic situation, which transfers brucellosis into the category of controlled or potentially curable ones, is analyzed. Convincing evidence of the role of these factors in relation to the success of prevention and rehabilitation of infected herds is provided. The long-term research results indicate that in the regions largely affected by brucellosis complete recovery of cattle without specific prevention measures is practically impossible. In this regard, to eliminate the risk of infection we proposed schemes of anti-brucellosis immunization in safe regions and the subjects affected to different degrees, as well as that for imported pedigree cattle and its offspring. The schemes stipulate vaccines (dosage, frequency, place of immunization, intervals, timing of revaccination, etc.), timing and methods of examination different gender and age groups of cattle.
Update of the Cadastral Values in Two Neighborhoods in Ciudad Madero, Tamaulipas
Authors:   Facultad de Arquitectura, Diseño y Urbanismo. Universidad Autónoma de Tamaulipas., Domínguez* Edgardo J. Suárez
Published: December 2019

Since ancient times, various forms of real estate control and the payment of taxes for various activities carried out by humanity have been recognized. Mexico has not been exempted in its history since the Spanish Colonization, and that permeated various social strata in the country, who give forced value to existing buildings, land and various properties that are taxed at a percentage that allows the Government's economic collection.In the present investigation, the results derived from the analysis of land in terms of price are exposed through the application of a valuation method and contrast of the commercial value with the cadastral value or assigned in the government. It is found that the increase can be greater than 100% when the economic activities are adequate, and the Government's development is carried out with the characteristics of the increase of the Economic Development and Progress of the City, specifically in Organized Commerce and Urban Development in related services and equipment.
A Novel Deep Learning Based Sentiment Analysis of Movie using Hybrid CNN_SVM Algorithm
Authors:   Department of BCA, Gurunanak College, Chennai, India, K* Mrs.Raviya. , Vennila.S Dr. Mary ,   Department of BCA, Gurunanak College, Chennai, India.
Published: December 2019

Data flow in web is becoming high and vast, extracting useful and meaningful information from the same is especially significant. The extracted information can be utilized for enhanced decision making. The information provided by the end-users is normally in the form of comments with respect to different products and services. Sentiment analysis is effectively carried out in these kinds of compact review to give away the people’s opinion of any products. This analyzed data will be efficient to improve the business strategy. In our work the collected online movie reviews are analyzed by using machine learning sentiment classification models like Random Forest, Naive Bayes, KNN and SVM. The work has been extended with CNN and hybrid CNN-SVM deep learning models to achieve higher performance. Comparing the workings of all the above classification models for sentiment analysis based upon various performance metrics is the main objective of the paper.
Finite Element Analysis of Artificially Frozen C-Phi soil
Authors:   Associate Professor, Dept of Civil Engineering, Bishop Jerome Institute, Kollam, Mohan L* Gouri , Rasheed Dr. K. K. Abdul ,   Retd. Former Professor & Head, Dept of Mechanical Engineering, TKM College of Engineering, Kollam, Koshy Dr. Reebu Zachariah ,   Professor & Head, Dept of Civil Engineering, Saintgits College of Engineering, Kottayam
Published: December 2019

Artificial Ground Freezing techniques eliminate the need for structural supports during the course of an excavation, as frozen ground is solid and waterproof. At present, it is adopted as an effective way to deal with various construction ground control challenges such as the mitigation of seepage infiltration into tunnels and shaft excavations; or ground strengthening for excavation. In-depth knowledge of the frozen soil characteristics through experiments and the development of suitable constitutive models that suit the geological conditions of our country are necessary to predict the strength and behavior of the frozen soils. Numerical analysis of frozen soil can be used for mass works like tunneling which cannot be experimentally verified. This paper presents a validation of experimental results obtained from laboratory setup and soil freezing system for C-Phi soil. The main aim is to compare numerical and experimental results and hence obtaining the shear strength parameter of the soil, similar to the conventional triaxial test setup. To perform numerical analysis Finite element tool ANSYS 19 is used. Soil model is made in ANSYS 19 and required loads are inputted to performed the analysis similar to the experimental method. The result obtained from experimental test setup and numerical analysis was verified and compared and it was found that values of numerical results lies closer to experimental results.
Six Sigma Implementation Efficiency in an Automobile Firm
Authors:   Department of Management Studies,Panimalar Engineering College, Chennai, India., Venkateswaran* Dr. N.
Published: December 2019

Six Sigma a new paradigm and fast growing manufacturing strategy executed and streamlined across recent automobile firms. This methodology have been faster pace of growth worldwide which helps to enhance productivity and quality improvement on existing process robust to monitor quality variations across manufacturing firms. To respond to quality changes happening every firm within the industry aligning themselves to show continuous process changes by building their existing infrastructure through Kaizen, JIT manufacturing, Business Process Reengineering practices to attain global competitive advantage and also to meet changing global customer demands by providing high quality products. This study results discussed six sigma implementation practices and various defects analysis methods followed in an automobile firm for quality and productivity improvement. This study used systematic literature review approach by analyzing existing major defective parts from the overall manufacturing products of the firm and has been analyzed using quality tools like Pareto analysis, Cause and Effect Analysis, 5 - Why analysis and Scatter diagram. The findings from this study definitely allow future researchers to progress their research activity in this field of activity helps them to open up new opportunities on six implementation issues to develop and evolve. Overall this study concluded with the suggestion of implementing Six Sigma DMAIC (Define–Measure-Analyze-Improve-Control) methodology which provides a framework to identify, quantify and eliminate sources of variation by optimizing operation variables which helps the firm to improve and sustain performance. The motive of this study is to achieve higher quality level for mutual benefits of organization and customer.
Exploration of Face Detection methods in Digital Images
Authors:   Computer Science and Engineering, Midlands State University, Gweru Zimbabwe, Ruvinga* C. , Malathi D. ,   Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, India., Jayaseeli J. D. Dorathi ,   Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, India.
Published: December 2019

Face detection is a challenging computer vision task that identifies and localizes the faces of human beings from digital images or video streams. It is predominantly the first phase in the process of developing a wide range of face applications such as face recognition, emotion recognition, authentication, surveillance systems etc. The process of face detection is easy from the human perspective but, a complex task for computers that involves searching of the face in variable circumstances of pose, colour, size, occlusion, illumination etc. If the outcome of face detection is intended to be input for another algorithm, an accurate, well informed selection of an appropriate face detection technique is essential because the overall performance of face application is dependent on face detection algorithm’s precision. The survey paper presents a review of three commonly used face detection algorithms available in literature namely Viola Jones, Neural networks (NN) and Local Binary Pattern (LBP) for the purpose of ascertaining the most suitable face detection algorithm to implement for our future work in developing an ‘Online student concentration level recognition system’.
Utilization of Bioslurryfrom Biogas Plant as Fertilizer
Authors:   Student, Department of Mechanical Engineering, St. Xavier’s Catholic College of Engineering, Chunkankkadai, Nagercoil, India, Devarenjan* J. , Herbert G.M.Joselin ,   Professor, Department of Mechanical Engineering, Noourl Islam Centre for Higher Education, Kumarakoil,, Amutha D. ,   Assistant Professor, Department of Computer Science and Engineering, Bethlahem Institute of Engineering, Karungal, India.
Published: December 2019

The conventional sources of energy are polluting the environment and getting depleted. The only option is renewable sources of energy like biogas. Disposal of large amount of bio gas slurry (BGS) producedis a major concern. Recycling of organic waste such as cattle dung, vegetable waste, food waste by the process of anaerobic digestion in the biogas plant (BGP) will be a great potential than producing any other fossil fuels. In many of the developing countries like India, cattle dung, crops residues will be produced in very large amount and hence it possible for producing bio gas and the bio slurry as the by-product. Hence, utilization of bio slurry as a fertilizer is an effective way. It increases the productivity of the soil. It is cheap and easily available fertilizer for the small scale farmers who could not afford in buying synthetic fertilizers. Bio slurry is nowadays being used as an effective source of fertilizer. It has high nitrogen (N), phosphorous (P) and potassium (K) that are considered to be the macro nutrients required for the flourishing growth of plants. It also contains some micro nutrients. It reduces the cost of natural organic fertilizer and increases the fertility of the soil.
Tidal waves Based Power Generation
Authors:   Department of Mechanical, PSNACET, Dindigul, M Palpandi. , Medona.C Merlin ,   Department of Mechanical, PSNACET, Dindigul, G Balaji. ,   Department of Mechanical, PSNACET, Dindigul, M Nagaraja. ,   Department of Mechanical, PSNACET, Dindigul
Published: December 2019

Wave energy power generation is a clean energy mechanism. Wave energy assures to be renewable source of energy with zero emission. In this experimental outcome of a built in wave generator with some additional features are reported.
Implementation of ANN Classifier for Skin Cancer Detection
Authors:   Assistant Professor Dept. of Computer Science, DAV College for Boys, Hathi Gate, Amritsar., Gupta* Aditi
Published: December 2019

In this examination, I explored a PC helped determination framework for skin malignant growth identification issue. Early location of skin malignant growth can lessen mortality and grimness. There are numerous symptomatic advances and tests to analyze skin malignancy. Regular analysis technique for skin malignant growth location is Biopsy strategy. It is finished by evacuating or scratching off skin and that example under goes a progression of research center testing. To avert these issues, i am utilizing a neural system framework (NN) as promising modalities for location of skin disease. The process for locating the diseases may include various strategies like epiluminescence microscopy pictures, picture separation for hair and noise evacuation, highlighting extraction making use of ANN, picture proportioning using maximum entropy threshold etc. then the available record of data is bifurcated into cancer causing and non cancer causing. It groups the given informational collection into malignant or non-destructive picture. Malignant pictures are named melanoma and non-melanoma skin disease.