bluuebunny/crossref_metadata_2025 huggingface dataset:
PEMBERDAYAAN KELOMPOK WANITA TANI DALAM PEMANFAATAN PEKARANGAN DI DESA LAPRI KABUPATEN NUNUKAN
Authors: Suryana Nia Kurniasih , Hendris Hendris
Published: November 2019

Tingkat kemandirian pangan di wilayah perbatasan Indonesia-Malaysia cukup rendah, hal ini terlihat dari ketersediaan bahan pangan lebih banyak dipasok dari Malaysia. Potensi alam yang dimiliki masyarakat Sebatik cukup berlimpah termasuk lahan pekarangan yang bisa dimanfaatkan untuk dapat menyediakan pangan secara mandiri.  Tempat pelaksanaan pengabdian kepada masyarakat di kelompok wanita tani “ Bunga Harapan” dan “ Semangat Baru” selama 3 bulan. Tujuan dari kegiatan pengabdian kepada masyarakat ini adalah meningkatkan pengetahuan dan keterampilan kelompok wanita tani dalam memanfaatkan pekarangan dengan budidaya system vertikultur. Target dan luaran yang diharapkan dari Kelompok kelompok wanita tani “ Bunga Harapan” dan “ Semangat Baru” ini adalah merubah perilaku yang meliputi pengetahuan, keterampilan dan sikap masyarakat melalui penyuluhan, pelatihan budidaya tanaman hortikultur dengan system vertikultur.
СВІТОВИЙ ДОСВІД ФОРМУВАННЯ ДЕРЖАВНОГО МЕХАНІЗМУ НОРМАТИВНОПРАВОВОГО РЕГУЛЮВАННЯ СОЦІАЛЬНО-ЕКОНОМІЧНИХ ВІДНОСИН У БУДІВНИЦТВІ
Authors: MARUSHEVA O.,
Published: November 2019

Стаття присвячена визначенню особливостей формуваннядержавного механізму нормативно-правового регулювання соціальноекономічних відносин у будівництві у країнах Європейського Союзу.Виявлено, що у державах Західної Європи свідомо передається частинафункцій нормативно-правового регулювання соціально-економічнихвідносин у будівництві недержавному сектору. В Німеччині,Великобританії, США саме на таких організаціях лежать функції зліцензійного забезпечення господарської діяльності, що пов’язана зістворенням будівель та споруд, проведенням професійної атестації.Проаналізовано, що у Франції головний регуляторний орган –Міністерство будівництва, транспорту й туризму. Його діяльністьполягає у вивченні кон’юнктури, прогнозуванні, консультуванні місцевихорганів, наданні субсидій та кредитів організаціям (для реалізаціїбудівельних програм). Зроблено висновок, що міжнародний досвідпідтверджує загальну тенденцію розвинених країн – роздержавлення всфері управління будівництвом й передача більшості владноуправлінських функцій саморегулюючим організаціям.

The article is devoted to the definition of the peculiarities of the formationof the structure of the state mechanism of legal regulation of social andeconomic relations in construction in the countries of the European Union. It isrevealed that in the states of Western Europe consciously transferred part ofthe functions of regulatory and legal regulation of socio-economic relations inthe construction of the non-state sector. In Germany, the United Kingdom, andthe United States, such organizations have the functions of licensing businessactivities related to the construction of buildings and constructions,professional certification. It is analyzed that in the France the main regulatorybody is the Ministry of Construction, Transport and Tourism. His activityconsists in studying the situation, forecasting, advising local authorities,granting subsidies and loans to organizations (for the implementation ofconstruction programs). It was concluded that international experienceconfirms the general trend of developed countries – denationalization of themanagement of construction and the transfer of most power and managementfunctions to self-regulatory organizations.
ЗАРУБІЖНИЙ ДОСВІД ДЕРЖАВНОГО РЕГУЛЮВАННЯ ДІЯЛЬНОСТІ ПАСАЖИРСЬКОГО АВТОМОБІЛЬНОГО ТРАНСПОРТУ
Authors: PETRENKO O.,
Published: November 2019

В статті розглянуто особливості зарубіжного досвіду державногорегулювання діяльності пасажирського автомобільного транспорту.Виявлено, що вигоди від реформ і скасування регулюючого впливунабагато зростають в тих випадках, якщо вдається створити іпідтримувати сильну конкуренцію. З’ясовано, що у світі реформуютьсявсі види транспорту, але особлива увага приділяється зараз міському таприміському транспорту як лідерам дотацій.

The article deals with the features of foreign experience of state regulationof passenger road transport. It is revealed that the benefits of reforms and theabolition of regulatory influence are much greater in cases where it is possibleto create and maintain strong competition. It was found that all modes oftransport are being reformed in the world, but special attention is now paid tourban and suburban transport as the leaders of subsidies.
ІНСТИТУЦІЙНЕ ЗАБЕЗПЕЧЕННЯ РЕАЛІЗАЦІЇ ДЕРЖАВНО-ПРИВАТНОГО ПАРТНЕРСТВА У СФЕРІ ОХОРОНИ ЗДОРОВ’Я
Authors: TURCHAK D.,
Published: November 2019

У статті з’ясовані особливості інституційного забезпеченняреалізації державно-приватного партнерства у сфері охорони здоров’я.Наведена структура діючих суб’єктів державно-приватногопартнерства у сфері охорони здоров’я. Доведено, що співпраця владнихструктур, бізнесу та суспільного сектора при реалізації механізмів ДППстане підґрунтям для розвитку інноваційних форм проектногоменеджменту, стимулюванню підприємницької діяльності, а такожсприятиме вирішенню медико-соціальних проблем в країні. Крім того,застосування моделей ДПП у сфері охорони здоров’я матимеекономічний ефект для суспільства у вигляді більш якісніших медичнихпослуг при зменшенні бюджетного навантаження.

The article clarifies the peculiarities of institutional support for theimplementation of public-private partnership in the field of health care. The structure of the acting public-private partnership in the sphere of healthprotection is presented. It has been proved that cooperation between powerstructures, business and the public sector in the implementation of PPPmechanisms will be the basis for the development of innovative forms ofproject management, stimulation of entrepreneurial activity, and willcontribute to solving medical and social problems in the country. In addition,the use of PPP models in the healthcare sector will have an economic effect forthe society in the form of better quality medical services while reducing thebudgetary burden.
ТЕОРЕТИКО-МЕТОДИЧНІ ОСНОВИ ФОРМУВАННЯ І РЕАЛІЗАЦІЇ ДЕРЖАВНОЇ ПОЛІТИКИ У СФЕРАХ ГАЛУЗЕВОГО УПРАВЛІННЯ
Authors: LYSYI Ye., CHERNYSH O.,
Published: November 2019

У статті розглянуто теоретичні та методичні основи побудовиефективних моделей державної політики та державного менеджментув різних галузях і сферах суспільного життя.

The article discusses the theoretical and methodological foundations ofbuilding effective models of public policy and public management in varioussectors and spheres of public life.
МЕТОДИКА ОЦІНКИ ІННОВАЦІЙНОГО ПОТЕНЦІАЛУ ПРОМИСЛОВОГО ПІДПРИЄМСТВА
Authors: CHELOVAN S.,
Published: November 2019

У статті проаналізовано сутність і умови застосування основнихметодів, використовуваних на практиці для оцінки інноваційногопотенціалу промислових підприємств, встановлені їх переваги танедоліки. Перераховано труднощі, що виникають на шляху вимірюваннябезпосередніх результатів інноваційної діяльності підприємства.Проаналізовано зв'язок інноваційного потенціалу з результатамифінансово-господарської діяльності підприємства.

The article analyzes the essence and conditions of application of the basicmethods used in practice for assessing the innovation potential of industrialenterprises, their advantages and disadvantages are established. Thedifficulties encountered in measuring the direct results of the enterprise'sinnovation activity are listed. The link of innovative potential with the results offinancial and economic activity of the enterprise is analyzed.
Nükleer Santrallerde Yangın Güvenliği Açısından Reaktör Soğutmanın Önemi ve Fukuşima Daiichi Kazası Modeli Üzerinden Kontrol Dışı Gerçekleşen Fisyon Reaksiyonlarının Enerjisinin Hesaplanması
Authors: UYAROĞLU Yılmaz , AY Şenol
Published: November 2019

Bu makalede nükleer enerji santrallerinde patlamanın
oluşmasına neden olan durumlar değerlendirilerek, kontrol dışı gerçekleşen
fisyon reaksiyonları sonucu  açığa çıkan
enerjinin hangi  durumlara neden olabileceği
araştırılmıştır. Model olarak ele alınan Fukuşima Daiichi Nükleer santralinde
soğutma sistemi doğal afet nedeni ile devre dışı kalan üç ünitedeki
reaktörlerde, üç gün içinde devam eden fisyon reaksiyonları sonucu açığa çıkan
enerjinin hesaplanması için W.s’lik enerji elde etmek için gereken fisyonların
sayısı bulunmuş, daha sonra bu enerjinin oluşabilmesi için kullanılması gereken
U-235 kütlesi hesaplanarak toplamda üç reaktör için 2028 MW/h enerji üretimi
miktarı baz alınarak harcanan U-235 kütlesi hesaplanmış ve 67 saat süre sonunda
ortamda kontrolsüz olarak oluşacak enerji, sonuçlarının değerlendirilebilmesi
için hesaplanmıştır. Hesaplamalara göre 3,4273 kg U-235 harcanması sonucu 2028
MW/h  enerji açığa çıkmıştır. Bu
enerjinin santralde yaşanan patlama olayına hangi şartlarda neden olduğu
açıklanmıştır.
Ontogenesis of Corundum Deposits of the Ray-Iz Massif,
the Polar Urals
Authors: Popov V.A. , Vasilyev V.M. , Blinov I.A. , Popova V.I.
Published: November 2019

Ontogenetic studies of a collection of corundum-bearing plagioclasites and glimmtrites from Rubinovy Log occurrence in the Ray-Iz massif, Polar Urals, indicate a magmatic model of formation of mineralization. The main morphological of feature is eutectic structure of rock-forming plagioclase, phlogopite, corundum, chromite, hercynite, and paragonite.
PRICE RELATIONSHIPS BETWEEN BOND MARKETS
Authors: BLAGUN Ivan
Published: November 2019

Introduction. The strengthening of globalization processes leads to a greater integration of the domestic financial market into the global financial market, especially bond market. Ukraine is under significant influence of world economic processes. In this context the impact that has on the state of the domestic market of Ukraine our financial market, as well as the actions of American financial regulators. On the background of the formation of excessive debt structure of the global financial market, including the US market, the financial market of Ukraine in recent time, there is also the nature of the debt market which is a key financial instrument is bonds, i.e. government bonds. Not less important and of the dual influence of the two basic segments of the financial market between market shares and bonds that affects the efficiencyof capital investors.

The purposeis the research of the relationships that are formed between the markets of shares and bonds on the example of financial markets of the USA and Ukraine.

Results. The price relationship between the bond markets of countries with different levels of development has been considered. For the basic indicators, characterizing the main parameters of the bond market the analysis of the influence of the US bond market to the domestic market, determined correlations between the rates of return on ten-year bonds. It has been established that the time series of the rate on ten-year bonds have signs of nonstationarity. Based on the identified nonstationarity time series were analyzed for cointegration. It is determined that the modeling-level rate bonds in Ukraine can be improved by applying advanced Sapsan the value of the rate of the bonds in the United States.

Conclusions. The results do not indicate the manifestation of a dependence between the value of the rates of ten-year bonds in the United States and Ukraine. Also there is no dependence between the current growth rate of bonds. A more detailed analysis also showed the absence of long-term balance between the rates of these bonds. The analysis of the interaction between equity markets and bond between them showed that the existing dual influence should be viewed through the prism of external factors that can lead to very different behavior of these markets, on the one hand they are competitors, in terms of raising capital, on the other in some periods, they are characterized by complementarity.
Personality Trait Analysis by Graphology Technique using Machine Learning
Authors:   Assistant Professor, St. Joseph’s College of Engineering, Chennai, India,, R* Ranjith , S Jothi ,   Associate Professor, St. Joseph’s College of Engineering, Chennai, India,, A Chandrasekar ,   Professor, St. Joseph’s College of Engineering Chennai, India
Published: November 2019

Graphology is a technique for analyzing an individual’s personality based on the given sample of their handwriting. Graphology considers the fact that the movement of our hand is directly related to the state of our brain. This paper implements the techniques of graphology using machine learning. The pre-defined data about the analysis of handwriting is given as learning data set for the machine. An image of a handwritten text document in jpg format is given as input to this machine. The processed output gives the personality of the individual corresponding to the input handwriting.
Enhanced Community Detection Based on Cross Time for Higher Visibility In Supply Chain: A Six-Steps Model Framework
Authors:   (OptiMAS), Faculty of Information Communication and Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka Malaysia,, Abas Zuraida Abal , Mohd Zaki Nurul Hafizah ,   Faculty of Information Communication and Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka Malaysia,, Asmai Siti Azirah ,   (OptiMAS), Faculty of Information Communication and Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka Malaysia, Nizam Abdul Ahmad Fadzli ,   (OptiMAS), Faculty of Information Communication and Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka Malaysia, Abidin Zaheera Zainal ,   (INSFORNET), Faculty of Information Communication and Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka Malaysia
Published: November 2019

Increasing the visibility in supply chain network had decrease the risk in industries. However, the current Cross-Time approach for temporal community detection algorithm in the visibility has fix number of communities and lack of operation such as split or merge. Therefore, improving temporal community detection algorithm to represent the relationship in supply chain network for higher visibility is significant. This paper proposed six steps model framework that aim: (1) To construct the nodes and vertices for temporal graph representing the relationship in supply chain network; (2) To propose an enhanced temporal community detection algorithm in graph analytics based on Cross-time approach and (3) To evaluate the enhanced temporal community detection algorithm in graph analytics for representing relationship in supply chain network based on external and internal quality analysis. The proposed framework utilizes the Cross-Time approach for enhancing temporal community detection algorithm. The expected result shows that the Enhanced Temporal Community Detection Algorithm based on Cross Time approach for higher visibility in supply chain network is the major finding when implementing this proposed framework. The impact advances industrialization through efficient supply chain in industry leading to urbanization.
Predicting Stock Exchange using Supervised Learning Algorithms
Authors:   M. tech Student,Department of CSE, SRKR Engineering College affiliated to JNTU Kakinada, Bhimavaram, AP, India., Jyothirmayee* Sikkisetti , Kumar V. Dilip ,   Assistant Professor of Computer Science and Engineering, SRKR Engineering College affiliated to JNTU Kakinada, Bhimavaram,AP, India., Rao Ch. Someswara ,   Assistant Professor of Computer Science and Engineering, SRKR Engineering Collegeaffiliated to JNTU Kakinada, Bhimavaram, AP,India., Shankar R. Shiva ,   Assistant Professor of Computer Science and Engineering, SRKR Engineering College affiliated to JNTU Kakinada, AP,Bhimavaram, India.
Published: November 2019

The stock market price trend is one of the brightest areas in the field of computer science, economics, finance, administration, etc. The stock market forecast is an attempt to determine the future value of the equity traded on a financial transaction with another financial system. The current work clearly describes the prediction of a stock using Machine Learning. The adoption of machine learning and artificial intelligence techniques to predict the prices of the stock is a growing trend. More and more researchers invest their time every day in coming up with ways to arrive at techniques that can further improve the accuracy of the stock prediction model. This paper is mainly concerned with the best model to predict the stock market value. During the mechanism of contemplating the various techniques and variables that can be taken into consideration, we discovered five models Which are based on supervised learning techniques i.e.., Support Vector Machine (SVM), Random Forest, K-Nearest Neighbor (KNN), Bernoulli Naïve Bayes.The empirical results show that SVC performs the best for large datasets and Random Forest, Naïve Bayes is the best for small datasets. The successful prediction for the stock will be a great asset for the stock market institutions and will provide real-life solutions to the problems that stock investors face.
PID gain tuning for Robust Control of PMDC Motor with tracking and disturbance rejection through H∞
Authors:   Electrical and Electronics Engineeringt, Don Bosco Institute of Technology, Bangalore. Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India., Venkaatreddy* Prasanth , Kulkarni Subhash ,   Electronics and Communication, PESIT Bangalore South Campus, Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India.
Published: November 2019

Permanent-magnet (PM) motors are employed in numerous industrial control applications for their high efficiency, simple mechanism and low cost. In most of the applications, either the plant model is inaccurately defined or the plant parameters are prone to variations over period of time. Also, in most of the applications, have a requirement of good tracking as well as good disturbance rejection, two competing requirements. The controller should cater to the parameter variations as well as provide robust performance against external disturbances and hence requires a robust control approach towards designing a controller. A classical PID controller, which lacks robustness requirements is augmented by H∞ optimization based gain tuning to meet the robustness requirements. This paper discusses a PID controller design using H∞ optimization approach. Different performance goals for tracking and disturbance rejection are defined and PID gains are tuned to meet the goals in H∞ sense. A commercial Maxon RE35 motor is selected for modeling and simulation.
Performance Parameter of AODV and DSR Potocol by Varying Nodes Mobility
Authors:   Research Scholar, SRMS CET, AKTU Affiliated, Bareilly, India, Sherwani* Nayla , Ali Shahjahan ,   Asstt. Professor, SRMS CET, AKTU Affiliated, Bareilly, India.
Published: November 2019

MANET is a cluster of nodes that are mobile which transfer the packet within a limited transmission range. It is decentralized and infrastructure less wireless network. Due to host mobility requirement for a robust dynamic routing protocol is needed, since a random and dynamic difference in the network topology is there. This paper presents a performance analysis between two routing protocols AODV and DSR. In terms of throughput, PDR and delay both protocols AODV and DSR is compared.
Predicting Election Results using NLTK
Authors:   M. tech Student, Department of CSE, SRKR Engineering College affiliated to JNTU Kakinada, Bhimavaram, AP, India., Kameswari* Kambhampati Kalyana , Raghaveni J ,   Assistant Professor of Computer Science and Engineering, SRKR Engineering College affiliated to JNTU Kakinada, Bhimavaram, AP, India., Shankar R.Shiva ,   Assistant Professor of Computer Science and Engineering, SRKR Engineering College affiliated to JNTU Kakinada, Bhimavaram, AP,India., Rao Ch. Someswara ,   Assistant Professor of Computer Science and Engineering, SRKR Engineering College affiliated to JNTU Kakinada, Bhimavaram, AP, India.
Published: November 2019

In today’s world, people are usually using social media networks for trying to communicate with other users and for sharing information across the world. The online social networking sites have become considerable tools and are providing a common medium for a number of users to communicate with each other. Twitter is the most prominent microblogging website and one among the social networking sites that grow on a daily basis. Social media incorporates an extensive amount of data in the form of tweets, forums, status updates, comments, etc. in an attempt to automatically process and analyze these data, applications can rely on analysis approaches such as sentiment analysis. Twitter sentiment analysis is an application of sentiment analysis on data from Twitter (tweets), to obtain user's opinions and sentiments. Natural Language Toolkit (NLTK) is a library based on machine learning methods in python & sentiment analysis tool. Which provides the base for text processing and classification? The research work proposed a machine learning-based classifier to extract the tweets on elections and analyze the opinion of the tweeples (people who use twitter). The tweets can be categorized as positive, negative and neutral towards a particular politician. We classify these processed tweets using a supervised machine learning classification approach. The classifier used to classify the tweets as positive, negative or neutral is Naive Bayes Classifier. The classifier is trained with tweets bearing a distinctive polarity. The percentage of positive and negative tweets is then measured and graphically represented.
Modelling of Intensity-Duration Frequency curves for Upper Cauvery Karnataka through Normal Distribution
Authors:   Research Scholar, Department of Civil Engineering, UVCE, Bangalore University, Bangalore, Karnataka, India., Parvez* Mohammed Badiuddin , Thankachan Amritha ,   Research Scholar, Department of Civil Engineering, UVCE, Bangalore University, Bangalore, Karnataka, India., k Chalapathi ,   Research Scholar, Department of Civil Engineering, UVCE, Bangalore University, Bangalore, Karnataka, India., Inayathulla M . ,   Professor, Department of Civil Engineering, UVCE, Bangalore University, Bangalore, Karnataka, India.
Published: November 2019

The IDF Curves accessible are for the most part done by fitting arrangement of yearly greatest precipitation force to parametric dispersions. Intensity-duration-frequency (IDF) curves represent the relationship between storm intensity, storm duration and return period. Environmental change is relied upon to intensify the boundaries in the atmosphere factors. Being prone to harsh climate impacts, it is very crucial to study extreme rainfall-induced flooding for short durations over regions that are rapidly growing. One way to approach the extremes is by the application of the Intensity-Duration-Frequency (IDF) curves. The annual maximum rainfall intensity (AMRI) characteristics are often used to construct these IDF curves that are being used in several infrastructure designs for urban areas. Thus, there is a necessity to obtain high temporal and spatial resolution rainfall information. Many urban areas of developing countries lack long records of short-duration rainfall. The shortest duration obtained is normally at a daily scale/24 h. Thus, it is very crucial to find a methodology to construct IDF curves for short-duration rainfall (sub-daily) for these urban areas. The fast extension of urban area that does not have adequate preparedness to cope with climate change is certainly a big risk to life and economy. The study region lies in Karnataka India. The sub-daily IDF curves for current and future climate for the region were constructed from 1 to 24 h based on the Normal Distribution approach. Rainfall data of 23 (Twenty three) hydrological years of all stations were used. Maximum rainfall frequency analysis was made by Normal Distribution method. Finally Equations were developed for different return periods.
Identification of Diabetic Retinopathy from fundus images using CNNs
Authors:   Department of Computer Science, KBN College of Engineering, Kalaburagi. Karnataka, India, Math* Laxmi , Fatima Dr. Ruksar ,   Department of computer science, Vice Principal, KBN College of Engineering, Kalaburagi, Karnataka, India
Published: November 2019

the Diabetic Retinopathy is the diabetes-mellitus to human vision that is the main cause of vision loss. The early stage detection of diabetic retinopathy is can play eminent role in the diabetes treatment. The fundus of retinal image is utilized to recognize the symptoms of diabetic retinopathy. Moreover, the above phenomena led us to propose this paper; here we propose segment based learning approach for identification of diabetic retinopathy. The segment based image level is required to obtain the identification of diabetic retinopathy images, the classifiers and features are equally learned from the data. Then, we adapt pre-trained CNN as the fine tune to achieve the segment level estimation of diabetic retinopathy. For identification of diabetic retinopathy, we achieve accuracy 96.97 and 98.46% at 20 and 30% and also achieve AUC (Area under Curve) 97.51 and 98.50 at 20 and 30% on the Kaggle dataset. Our proposed model outperforms much better than other models.
Implementation of Client Controlled Privacy Preserving Data Model for Mining Decision Rules Using Decision Tree and Association Rules
Authors:   Dr. APJ Abdul Kalam University, Indore., Ilyas* Md. , Verma Dr. Dhanraj ,   Dr. APJ Abdul Kalam University, Indore., Deshpande Dr. Manojkumar ,   Prestige Institute of Engineering Management & Research, Indore., Raghuvanshi Rajeev ,   Prestige Institute of Engineering Management & Research, Indore
Published: November 2019

The privacy-preserving data mining (PPDM) is one of the techniques which are used for mining data dynamically with preserving privacy of the end data owner. In this paper, a PPDM technique for generating the privacy-preserving decision rules is proposed and implemented. The key motive of presenting this privacy-preserving decision rule mining technique is to demonstrate how securely data is aggregated in the PPDM environment, how securely extract them and consumed them with the help of applications. In addition to comparing the state of art methods for mining privacy preserving decision rules for preparing the future directions of research. Therefore two different data models have used namely decision tree and association rule mining. The conducted experiments demonstrate that decision tree-based techniques are superior to the association rule mining based techniques for mining higher dimensional data with higher accuracy and low resource consumption. Therefore in the near future for extending this data model the two concepts are also introduced in this paper.
Interpretation of CBR Test Consequences for Subgrade Soil Preserved Through Geo-Grid
Authors:   Assistant Professor, Department of Civil Engineering Kongu Engineering College, Affiliated to Anna University, Erode, Tamilnadu, India, S* Manoj , V Sampathkumar ,   Assistant Professor, Department of Civil Engineering Kongu Engineering College, Affiliated to Anna University, Erode, Tamilnadu, India., N Jothi Lakshmi ,   Assistant Professors, Department of Civil Engineering Kongu Engineering College, Affiliated, S Janani ,   Assistant Professors, Department of Civil Engineering Kongu Engineering College, Affiliated, Nandhini V. ,   doing her PG, Department of Civil Engineering, Kongu Engineering College, Affiliated to Anna University, Erode, Tamilnadu, India.
Published: November 2019

The California Bearing Ratio (CBR) is a parameter for evaluation of the mechanical strength of sub grade, base course and other layers of a new carriage way. It depends on various factors and nature of soil. The service life of pavement on weaker soil sub grade is quite low due to the high compressibility and plasticity behavior of soils. Some soils possess less strength, CBR value and have high affinity to moisture content. Hence it is important to increase the strength of soil for sustainable performance of Indian roads. To increase the sub grade soil strength, geogrids are used in roads. Geogrids are cost effective polymeric materials used as soil reinforcement. It helps to increase the stability and bearing capacity of soil, enables good drainage and involves less maintenance. Increase in CBR value of the sample with use of geogrids leads to reduction in the thickness of pavement. Two soil samples are collected from the nearby construction sites. Basic tests are to be conducted on the samples to determine its engineering and index properties followed by CBR test under optimum moisture content. This paper deals with the experimental results of CBR tests on different types of sub grade soil by increasing the number of geogrid layers in each trial. This gives the optimum number of geogrid layer to attain the maximum CBR value. This paper also includes the application of CBR value in the design of flexible pavements as per IRC recommendations.
Compressive strength of bacterial concrete by varying concentrations of E.Coli and JC3 bacteria for Self-Healing Concrete
Authors:   School of civil engineering, Reva University, Bengaluru, India., Akki* Rajani V , S K Sunil ,   Civil engineering department, Acharya Institute of Technology , Bengaluru, India., S Jithendra ,   Civil engineering department, Acharya Institute of Technology , Bangalore, India, M Dhananjay ,   Civil engineering department, Acharya Institute of Technology , Bengaluru, India.
Published: November 2019

This paper focuses on how the bacterium produces calcite to repair cracks and thereby increases the strength and durability of the concrete. The bacterial concrete can be made by embedding bacteria in the concrete to make it constantly precipitate calcite. Bacillus E Coli and Bacillus Subtilis JC3 are used for this purpose. Bacillus E coli and Bacillus Subtilis JC3 induced at cell concentration 10^5 cells/ml improves properties of concrete. This paper campaigns for the induction of bacteria in concrete for the promotion of self-healing cracks.
Effect of Reinforcements on Specific Wear rate of Al 7075 / TiB2/ Cr2O3 hybrid Composites
Authors:   Assistant Professor, Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu – 641114, India., George* Dr. Lijin , Smart Dr.D.S.Robinson ,   Professor, Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu – 641114, India., Haridas Mr. Vishnu ,   Student, Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu – 641114, India.
Published: November 2019

A composite material contains different reinforcing elements added to the major material that forms the base matrix. In this work Aluminium 7075 matrix was reinforced with 12% TiB2and 4%, 6% and 8% Cr2O3 and the wear behavior of this composite was studied. The composite material was prepared by the process of stir casting. The rate of specific wear was measured for different reinforcements under varying velocity and load. The Scanning Electron Microscope images of the worn-out surfaces were used to investigate the wear pattern. The wear rate could further be extrapolated using fuzzy logic and were compared with the experimental results.
Tidal Energy Integrated Robust Frequency Control of an Islanded AC Microgrid with Improved-MFO Tuned Tilt Controller
Authors:   Department of Electrical Engineering, Veer Surendra Sai University of Technology, Burla, 768018,Odisha, India, Mishra* Debashish , Sahu* Prakash Chandra ,   (Corresponding), Department of Electrical Engineering, Silicon Institute of Technology, 768212,Odisha, India, Prusty Ramesh Chandra ,   Department of Electrical Engineering, VSSUT, Burla, 768018,Odisha, India
Published: November 2019

In recent electrical energy scenario different renewable energy based distribution generation (DG) systems have been developed to provide electrical power to distant and remote consumers. In view of this current research article presents a Tidal Power Plant (TPP) and its integration with an Islanded AC Microgrid system. The tidal energy based TPP is modelled to generate required electrical power. However the inherent dynamic behaviour of TPP largely affects the microgrid system frequency especially in islanded mode of operation. In regard to this to obtain necessary control mechanism in an islanded AC microgrid system , present research article proposes a tilt multistage TDF/(1+TI) controller and to show effectiveness of proposed tilt controller for microgrid control it has been compared with multistage PDF/1+PI and PID controllers. To obtain optimal gain parameters of above implemented controllers an Improved- Moth Flame Optimization (I-MFO) technique has been proposed for this study. To justify viability of proposed I-MFO algorithm its performances have been compared with original MFO algorithm. Finally it has been noticed that to obtain robust frequency control in an islanded AC microgrid system, proposed I-MFO optimized tilt multistage controller exhibits outstanding performance under wind, solar and tidal energy uncertainties.
Performance of Fly Ash Bricks with Differential Composition
Authors:   Undergraduate Student, Dr.Mahalingam College of Engineering and Technology, Pollachi, Tamilnadu, India., Harshini* J. , Abinaya D. ,   Undergraduate Student, Dr.Mahalingam College of Engineering and Technology, Pollachi, Tamilnadu, India, Manikandan A. ,   Assistant Professor, Dr.Mahalingam College of Engineering and Technology, Pollachi, Tamilnadu, India., Srinivasan K. ,   Assistant Professor, Dr.Mahalingam College of Engineering and Technology, Pollachi, Tamilnadu, India., Natarajan N. ,   Associate Professor, Dr.Mahalingam College of Engineering and Technology, Pollachi, Tamilnadu, India.
Published: November 2019

Flyash is one of the largest emerging products in the construction industry. The fly ash is the by-product which is widely used in brick manufacturing plant. The flyash reduces the cement content and also overcomes several disadvantages. Simply, it is a step towards eco-friendly environment. Though the flyash brick has many advantages, it has lower strength at initial stages due to low hydration. In this study, the experimental investigation was carried out to find the optimum mix ratio of various compositions of fly ash bricks. The brick specimens were casted on different compositions of cement, flyash, eco-sand and various other admixtures. On addition of these admixtures the early compressive strength was also high and a quick hydration was observed. The tests were conducted on 3rd, 5th, 7th and 28th day. The results suggest that the maximum strength was obtained for the composition of fly ash, ecosand, cement and silica fume.
Explication of the National Value Parameter in Paremiological Units
Authors:   Michurinsk State Agrarian University, Michurinsk, Russia., Rudneva* N.I. , Shimko Elena Alekseevna ,   Michurinsk State Agrarian University, Michurinsk, Russia., Korotkova G.V. ,   Michurinsk State Agrarian University, Michurinsk, Russia.
Published: November 2019

The article is devoted to studying the national value parameter in paremiological units with the key lexemes “die Witwe” and “вдова” (“a widow”) in the concept of the comparative ethnolinguistic analysis. In the work, the comparative ethnolinguistic description of paremias is based on the authors’ method of cultural contrast that allows determining the ethnocultural identity based on identifying general and specific possibilities of expressing national cultures in the phraseological picture of the world through the material of the German and Russian languages.
Utilizing different wastes in rural roads of Karad, District – Satara, India
Authors:   Ph.D. Student, Visvesvaraya Technological University, Belagavi, India, Chandak* Mr. Piyush G. , Tapase Dr. Anand B. ,   Assistant Professor, Rayat Shikshan Santha’s, Karmaveer Bhaurao Patil College of Engineering, Satara, India,, Patil Dr. Ravindra P. ,   Professor, Jain AGMIT, Jamkhandi, India,, Sayyed Mr. Sabir S. ,   Ph.D. Student, Visvesvaraya Technological University, Belagavi, India, Attar Dr. Abdulrashid C. ,   Professor, Rayat Shikshan Santha’s, Karmaveer Bhaurao Patil College of Engineering, Satara, India
Published: November 2019

The rural roads in India comprise of village roads (VR) and other district roads (ODR). The traffic intensity is taken as 2 million standard axles (msa) since traffic load has increased on the rural roads. The design guidelines have recommended the utilization of wastes accessible in the nearby vicinity for road construction. Effective disposal of wastes such as plastic, rubber and electronic waste is the main concern in India. The adverse effects of these identified wastes could be put to a beneficial use if utilized in road construction. Due to the increasing trend of heavy traffic on rural roads, a bituminous Macadam layer is generally laid over granular layers of the pavement. As such, the primary objective of the research is to discover the optimum content of using the identified wastes to replace bitumen and aggregates of rural roads. Numbers of laboratory tests have been carried out on modified mixtures to understand the aptness and optimum content of the wastes in construction of rural roads. The strength property of the naturally available soil was studied for the rural roads in Karad. The California bearing ratio test analysis and their outcomes were employed to assess the strength of the subgrade in the study area. Further, based on the suitability of identified wastes in bituminous layer, IITPave software was used to analyze the performance of rural roads of the study area. Using the IITPave software, design charts were created based on utilizing the wastes for rural roads in Karad, District – Satara, India.
Credit Risk Assessment using Machine Learning Techniques
Authors:   Dept. of Computer science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India., Aithal* Varsha , Jathanna, Roshan David ,   Dept. of Computer science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India.
Published: November 2019

Analysis of credit scoring is an effective credit risk assessment technique, which is one of the major research fields in the banking sector. Machine learning has a variety of applications in the banking sector and it has been widely used for data analysis. Modern techniques such as machine learning have provided a self-regulating process to analyze the data using classification techniques. The classification method is a supervised learning process in which the computer learns from the input data provided and makes use of this information to classify the new dataset. This research paper presents a comparison of various machine learning techniques used to evaluate the credit risk. A credit transaction that needs to be accepted or rejected is trained and implemented on the dataset using different machine learning algorithms. The techniques are implemented on the German credit dataset taken from UCI repository which has 1000 instances and 21 attributes, depending on which the transactions are either accepted or rejected. This paper compares algorithms such as Support Vector Network, Neural Network, Logistic Regression, Naive Bayes, Random Forest, and Classification and Regression Trees (CART) algorithm and the results obtained show that Random Forest algorithm was able to predict credit risk with higher accuracy.
A Prototype of Augmented Reality Animation (ARA) E-Courseware: An Assistive Technology To Assist Autism Spectrum Disorders (Asd) Students Master In Basic Living Skills
Authors:   Prof. Department of Education and Human Develop-ment, Sultan Idris Education University (UPSI), Malaysia., Wong* Kung-Teck , Hanafi Hafizul Fahri bin ,   senior lecturer department of Art, Computing and Creative Industry (FSKIK), Sultan Idris Education University (UPSI), He completed his PhD from UPSI, Malaysia., Abdullah Norazilawati ,   Associate Professor, a senior lecturer in Educational Studies Department, Universiti Pendidikan Sultan Idris, Malaysia., Noh Noraini Mohamed ,   Associate Professor, a senior lecturer in Educational Studies Department, Universiti Pendidikan Sultan Idris, Malaysia., Hamzah Mahizer bin ,   Assoc. Prof Department, of Human Development in Sultan Idris Education University (UPSI), Malaysia.
Published: November 2019

The purpose of this study is to identify the e-courseware effectiveness and Special Education (SpeEdu.) Teacher perception in using Basic Living Skills (BLS) E-courseware prototypes, namely BLS (Augmented Reality Animation) & BLS (Static graphic). The study employed survey research design and experimental approaches. The survey design approach was conducted in identifying the usability of the prototype of Basic Living Skills e-courseware among Special education (SpeEdu) Teachers and for the experimental design approach was carried out to identify the ASD’s achievements between Basic Living Skills E-courseware (Augmented Reality Animation) & Basic Living Skills (Static graphic) for Autism Spectrum Disorders (ASD) students master in basic living skills. A total of five (5) practising SpeEdu teachers had participated in this study, and there was 4 total number of children involved in the study. The study used a pre-post experimental research design. The participating in-service teachers and ASD students were selected based on the criteria required. Pre-test and Post-test instruments were employed to gather ASD students’ achievement scores. Analysis descriptive was carried out to understand and compare the differences between control and treatment group. The result indicated that BLS (Augmented Reality Animation) is more effective to be used rather than BSL (Static graphic) and respondents are more dominant and satisfied with the BLS (Augmented Reality Animation) presentation. The implications of this study are significant contributions to the Ministry of Education Malaysia (MOE), teachers, parents and caregivers.
A Systemic view of One-Pass Cryptographic Key Distribution Techniques for WSNs
Authors:   School of Computer Applications, KIIT, Bhubaneswar, India., Mishra* Manoj Ranjan , kore Amit Vijay ,   Research Scholar, School of Computer Engineering, KIIT, Bhubaneswar, India., Kar Jayaprakash ,   Department of Computer Science and Engineering, The LNMIIT, Jaipur, India.
Published: November 2019

The availability and use of cheaper and smaller sensors has brought an evolution in the field of Wireless Sensor Networks. The changes occurring in the environment can be observed, recorded through the large-scale deployment of sensor nodes that can build-up the much-required information system. Also, they are able to monitor and congregate data about the living organisms therein. In near future, millions more devices are expected to be connected. We focus upon the security services required by WSNs that are most challenging as compared to other networks. First, we introduce the commercially used motes with the comparison of technical and implementation related issues. Second, we analysed the variants of existing one-pass key management protocols for the resource constrained devices. Our aim is to provide a new direction to WSN Security through a restricted key distribution mechanism.
Early Detection of stenosis in Coronary Artery using Adaboost and ANN Classification
Authors:   Assistant Professor, IT department,, Easwari Engineering college, Chennai, India., Roy* R.Reena , K Maanasi ,   IT Department, Easwari Engineering College, Chennai, India, R Pavithra. ,   IT Department, Easwari Engineering College, Chennai, India, M Rekha. ,   IT Department, Easwari Engineering College, Chennai,India
Published: November 2019

In recent years, due to the prevailing challenges in cardiovascular diseases in human , early detection of severity of stenosis has become essential. In this paper, an image processing method for detecting and localizing the regions in the coronary artery for segmentation is proposed.. This method works with a set of CT reconstructed images and gives much precision in detecting stenosis and helps clinical physicians for better diagnostic decision making process. CT is the widely used imaging technique to assess these kind of artery diseases. Ada Boost algorithm and colour based segmentation are used to exactly find out the regions in the artery. This method is applied on the reconstructed CT image of the heart along with preprocessing techniques for the detection of stenosis and center lines of the segmented arteries are extracted using texture extraction method. The CT images data set are collected from Sri Chakra scan centre, Chennai.
ATM Crime Prevention and theft Detection model by Wireless Technologies RFID and GSM
Authors:   ECE, Global institute of Engineering & Technology, Moinabad, Hyderabad, Telangana, India., Zeeshan* G Ahmed , Sundaraguru Dr. R ,   ECE, Sir M Visvesvaraya Institute of Technology, Bengaluru, Karnataka State, India, Vadithya Anjya Naik ,   ECE,Global institute of Engineering & Technology, Moinabad, Hyderabad, Telangana, India.
Published: November 2019

The Implementation of Advanced ATM theft avoidance System is brought into world with the perception of ATM wrong doing occurring far and wide. This paper manages the counteractive action of ATM wrongdoing. At whatever point burglary happens, MEMS module is present to detect crime happening at ATM machine. Proposed framework is done by ARM controller based installed framework designed for constant information gathered utilizing a MEMS module. When the theft happens this, designed system automatically alerts alarm such as buzzer, dc motor control gate, GSM sends SMS to authorized person and the status is displayed in LCD to monitor. Simultaneously this framework additionally manages the well lbeing of the client by cautioning the encompassing individuals and close-by police headquarters at whatever point the client is in risky circumstance. Here we utilize RFID module to verify ATM Card. RFID discoveres ATM card can swipe anyplace. It naturally sends burglary alert through GSM, buzzer ready individuals, DC motor entryway lock and all the status is displayed on LCD. Keil software is used to implement programmatically and execute the project successfully.