bluuebunny/crossref_metadata_2025 huggingface dataset:
Klasifikasi Berita Kriminal Menggunakan NaÃ¯ve Bayes Classifier (NBC) dengan Pengujian K-Fold Cross Validation
Authors: Rhomadhona Herfia , Permadi Jaka
Published: December 2019

Berita kriminalitas merupakan berita yang selalu menjadi trending topik di setiap media massa, khususnya media massa online. Media massa online terlah menyediakan beberapa fasilitas untuk mempermudah masyarakan dalam mencari sebuah berita berdasarkan topik. Media massa online melabeli suatu berita berdasarkan kategorinya. Namun, media massa online tidak memberikan sub kategori pada berita tersebut. Sebagai contoh jika seorang pengguna membuka kategori kriminal, maka yang ditampilkan adalah semua jenis berita kriminal tanpa memberikan informasi yang spesifik dari jenis kriminalitasnya. Permasalahan tersebut dapat diatasi dengan mengklasifikasikan berita kriminalitas berdasarkan subkategori. Penelitian ini menggunakan metode NaÃ¯ve Bayes Classifier (NBC)  untuk mengklasifikasi berita berdasarkan sub kategorinya. Adapun subkategori terbagi kedalam 5 kategori yaitu korupsi, narkoba, pencurian, pemerkosaan dan pembunuhan. Penelitian ini bertujuan untuk mengetahui kemampuan NBC dalam mengklasifikasi berita dengan melakukan pengujian menggunakan teknik K-Fold Cross Validation dengan nilai K dari 3 sampai 10. Hasil pengujian menyatakan bahwa NBC memiliki kemampuan dalam klasifikasi berita kriminal dengan nilai precision sebesar 98,53 %, nilai recall sebesar 98,44 % dan nilai accuracy sebesar 99,38 %.
Aplikasi Petrinet Pada Sistem Identifikasi Sidik Jari
Authors: Putri Rani Kurnia
Published: December 2019

Sebagai sebuah model, petri net merupakan grafik dua arah yang terdiri dari place, transisi serta tanda panah yang menghubungkan keduanya. Disamping itu, untuk merepresentasikan keadaan sistem, token diletakkan pada  place tertentu. Ketika sebuah transisi terpantik, token akan bertransisi sesuai tanda panah.  (Place) menggambarkan aktivitas pada suatu sistem,  (Transisi) menggambarkan transisi atau perpindahan dari setiap aktifitas, dan Token (benda bulat di dalam ) menggambarkan status dari aktifitas state tersebut. Pada penelitian ini, dibahas mengenai aplikasi petri net pada sistem pengenalan sidik jari menggunakan pendekatan aljabar max plus. Pendekatan aljabar max-plus mampu menentukan dan menganalisa sifat sistem pengenalan sidik jari dengan sinkronisasi. Dalam proses identifikasi sidik jari, satuan waktu yang digunakan adalah detik, dimana  merupakan awal waktu proses, dan  merupakan waktu selesai proses, sehingga ketika seluruh proses identifikasi telah dilalui, diperoleh nilai optimum untuk setiap aktifitas state.
FORTRAN PROGRAM FORECASTING ON MATERNAL MORTALITY IN TYPE C HOSPITALS IN EAST JAVA BASED ON PREDOMINANT VARIABLES
Authors: Atmadja Sardjana , Gumilar Gulam
Published: December 2019

In Indonesia, the effort to reduce maternal mortality rate remains unsatisfactory and is progressing slowly due to the lack of working ethos, blood facility, communication facility, obstetrician and gynecologists, midwifes, nurses, and functionaries of Indonesian Red Cross. Objective. To forecast maternal mortality in all type C hospitals in East Java, 2010 - 2015. This study was a development of clinical management from predominant variables that lead to maternal mortality in type C hospitals in East Java using FORTRAN simulation program. Results. The contribution of working ethos to clinical management model in reducing maternal mortality in governmental type C hospital was 45.46%, indicating that the contribution if this variable can be expandable to 57.99%. The contributions of blood facility and communication facility were 27.22% and 26.95%, indicating a possible expanding contribution as much as34.73% and 34.38% respectively.
ANALYSIS OF WARGANET COMMENTS ON IT SERVICES IN MANDIRI BANK USING K-NEAREST NEIGHBOR (K-NN) ALGORITHM BASED ON ITSM CRITERIA
Authors: Ramadhan Febrian Wahyu , Sukmana Husni Teja , Oh Lee Kyung , Wardhani Luh Kesuma
Published: December 2019

Sentiment analysis is a method for reviewing products or services to determine opinions or feelings about a product. The results of the analysis can be used by companies as evaluation materials and considerations to improve the products or services provided. This study aims to test the level of public sentiment on the quality of Bank Mandiri services that have received ISO 20000-1 with the application of sentiment analysis using the K-NN algorithm based on ITSM criteria. The initial classification in this study uses the lexicon method by detecting words included in sentiment words, the results of which are included as labels on training data and test data. Formation of the classification with the K-NN algorithm by taking into account the results of the training data indexing and weighting of the test data, with the value of k as the decision maker limit. The trial results of 10 scenarios show that the classification using the K-NN algorithm as a sentiment classification is 98% accuracy value of 50 test data to 600 training data, with 24% getting positive sentiment, 22% negative sentiment and 55% neutral sentiment, with f -measure 95.83%. while in testing 100 the test data obtained 79% accuracy value with 21% getting positive sentiment, 42% negative sentiment and 38% neutral with an f-measure value of 68.42%.
Transaction Document Security Protection In The Form Of Image File, Jpg or Tif Interbank Transfer Using Steganography And Cryptography
Authors: Basuki Sucipto , Anugrah Reksa
Published: December 2019

Information security process can be done by hiding the information on other media or by certain methods, so that other people do not realize there is some information in the media. Technique known as Steganography and Cryptography. Steganography is a technique to hide or disguise the existence of secret messages in the media reservoirs. While Cryptography disguise the meaning of a message, but do not hide that there is a message. In a bank cannot be separated in the presence of inter-bank transactions which transfer if the transfer interbank transactions done in branch offices and nominal transaction exceeds the transaction limit branch offices will require official approval in the upper branch. How do I prove the authenticity of the document transfer transaction? Therefore, a company in the banking sector needs to be a medium to prove the validity of the document sent by the branch transaction. In this case the author has designed an application with a blend of steganography and cryptography techniques that can be used in testing the validity of the transaction document. By using steganographic techniques undercover in a media that has brought and cryptographic key assignment as random, then the document that is sent in the branch office can be proved.
Persepsi dan Perilaku Remaja Putri dalam Mencegah Keputihan di SMK 1 Lambuya Kabupaten Konawe
Authors: Maryanti Sri , Wuryani Murti
Published: December 2019

Promosi kesehatan merupakan langkah awal pada upaya mewujudkan peningkatan derajat kesehatan masyarakat, Peran Bidan di Wilayah Kerja Puskesmas Tempel pada upaya promosi deteksi dini kanker didapatkan masih kurang. Penelitian dilakukan untuk menggali tentang kebijakan program dan peran bidan pada upaya promosi deteksi dini kanker rahim, dengan metode studi kasus, tehnik sampling yang digunakan adalah purpossive sampling dengan pendekatan Indepth Interviews (IDIs atau wawancara mendalam) dilakukan pada 5 Informan, yaitu pada 1 bidan koordinator puskesmas, 2 bidan koordinator program Promosi kesehatan dan Posyandu, dan 1 bidan pelaksana program, dan 1 triangulasi sumber yaitu pejabat struktural Puskesmas.Didapatkan bahwa pelaksaan kebijakan program belum merata, hal tersebut disebabkan karena keterbatasan sumberdaya tenaga bidan yang masih merangkap jabatan pada setiap jobdiskripsi tugas, sehingga cakupan yang menjadi target sasaran hanya bisa dilaksanakan pada batas program minimal yaitu promosi tahunan yang diprogramkan 2 kali pertahun.Selama peiode 2019 tidak didapatkan hasil Pemeriksaan IVA maupun papsmear yang mengarah pada tanda keganasan. Kata Kunci : deteksi kanker; peran bidan; promosi kesehatan
Síndrome cardiorrenal em cães: a busca por medidas de controle
Authors: De Oliveira Marina Martins , Furtado Lorena Lorraine Alves , De Abreu Claudine Botelho , Schulien Tatiana , Pinto Ana Maria Barcelos Guerra , De Oliveira Luiz Eduardo Duarte , Coelho Mariana de Resende , Lázaro Muzzi Ruthnéa Aparecida
Published: December 2019

A relação fisiopatológica entre os rins e o coração na doença, conhecida como síndrome cardiorrenal (SCR), envolve distúrbios do coração e dos rins, pois a disfunção aguda ou crônica em um órgão pode induzir a disfunção aguda ou crônica do outro. Em Medicina Veterinária são descritos 5 subtipos de síndrome cardiorrenal: cardiorrenal aguda, cardiorrenal crônica, renocárdica aguda, renocárdica crônica e secundária. A anemia é um achado comum em cães com disfunção cardíaca e renal, caracterizando a chamada síndrome da anemia cardiorrenal. Os mecanismos envolvidos na fisiopatologia da síndrome cardiorrenal envolvem, não somente alterações hemodinâmicas e ativação de sistemas neuro-hormonais, como também a ativação de mecanismos compensatórios do próprio organismo, que acabam contribuindo para a piora da função cardíaca e renal, levando ao desenvolvimento da SCR. O grande desafio encontrado em Medicina Veterinária está relacionado ao diagnóstico precoce dessa síndrome e, principalmente, ao correto manejo terapêutico, uma vez que que a terapia da cardiopatia pode deteriorar a função renal, e vice-versa. Portanto, é importante compreender como a fisiopatologia de uma doença pode impactar a função do outro órgão. O presente trabalho tem como objetivo trazer uma completa abordagem da fisiopatologia, diagnóstico e tratamento da síndrome cardiorrenal em cães.
Immediate function with four Zygomatic implants in patients with extreme maxillary atrophy – Case Series
Authors: Duarte Fernando , Ramos Carina
Published: December 2019

Purpose: Zygomatic implants have been in use since the 1990’s for the treatment of patients with severely resorbed maxillae. Eliminating grafting combined with immediate function increases patient acceptance. The purpose of this study was to evaluate a protocol for immediate function with fixed prostheses for patients with extreme maxillary atrophy, treated with four zygomatic implants (S.I.N.-Implant System, São Paulo, Brazil). Case series:This retrospective clinical study included 10 patients with 40 immediately loaded zygomatic implants with fixed provisional acrylic prosthesis attached 5 to 6 hours after surgery.The patients’ follow-up was from 12 to 60 months. Two zygomatic implantsfailed (implant survival rate 95%). There were no complications such as sinusitis,hygiene maintenance or speech impairment.The results support the hypothesis that immediate function with four zygomatic implants is a viable concept. The clinical success for these patients was enhanced by the shorter time span of the treatment process and the immediate rehabilitation in a comfortable manner as compared to grafting based procedures. Conclusions: The high survival rate, the increase of patients’ demand in immediate functional ability and the less morbidity following the surgical procedure renders this immediate function zygomatic procedure a viable treatment option of the resorbed fully edentulous maxillae.
Derecho tributario, ¿derecho administrativo o derecho económico?
Authors: Forero hernández Carlos Ferney
Published: December 2019

El objeto de este escrito es diferenciar a la comunidad académica sobre la conveniencia de hablar de derecho económico y no de derecho administrativo cuando se hace referencia al derecho tributario; entendiendo por derecho económico como el derecho de la intervención del Estado en la economía. Este tema tiene un enfoque interdisciplinar que vincula el derecho y la economía.
A NEW CONCEPT OF DISCRETIZATION MODEL FOR IMAGING IMPROVING IN ULTRASOUND TRANSMISSION TOMOGRAPHY
Authors: Rymarczyk Tomasz , Polakowski Krzysztof , Sikora Jan
Published: December 2019

In this paper a new version of discretization model for Ultrasonic Transmission Tomography is presented. The algorithm has been extensively tested for synthetic noisy data on various configurations of internal objects. In order to improve the imaging quality, the pixels/voxels have been enlarged compared to the figures inscribed in pixels/voxels however no more than figures described on the standard square pixels or cubic voxels. The proposed algorithm provides better quality of imaging.
MEASUREMENT SYSTEMS FOR THE ENERGY PRODUCED BY THE PHOTOVOLTAIC SYSTEM AND CONSUMED BY THE BUILDING OF THE LUBLIN SCIENCE AND TECHNOLOGY PARK
Authors: Małek Arkadiusz
Published: December 2019

The article contains a description of innovative systems for measuring the energy produced by the photovoltaic system and consumed by the building. The photovoltaic system consists of two micro-installations supplying two sectors of the Lublin Science and Technology Park. An internet platform for monitoring photovoltaic plant operation was presented. The power generated and the amount of electricity produced were assessed. Then, an innovative system for monitoring, analyzing the consumption and production as well as the efficient use of electricity in individual parts of the building was described.
DETERMINATION OF THE OPTIMAL SCANNING STEP FOR EVALUATION OF IMAGE RECONSTRUCTION QUALITY IN MAGNETOACOUSTIC TOMOGRAPHY WITH MAGNETIC INDUCTION
Authors: Żywica Adam Ryszard , Ziółkowski Marcin
Published: December 2019

Magnetoacoustic Tomography with Magnetic Induction (MAT-MI) is a new hybrid imaging modality especially dedicated for non-invasive electrical conductivity imaging of low-conductivity objects such as e.g. biological tissues. The purpose of the present paper is to determine the optimal scanning step assuring the best quality of image reconstruction. In order to resolve this problem a special image reconstruction quality indicator based on binarization has been applied. Taking into account different numbers of measuring points and various image processing algorithms, the conditions allowing successful image reconstruction have been provided in the paper. Finally, the image reconstruction examples for objects’ complex shapes have been analyzed.
USING 3D PRINTING TECHNOLOGY TO FULL-SCALE SIMULATION OF THE UPPER RESPIRATORY TRACT
Authors: Avrunin Oleg , Nosova Yana , Younouss Abdelhamid Ibrahim , Gryshkov Oleksandr , Glasmacher Birgit
Published: December 2019

The project "Implementation of rapid prototyping for modelling the upper respiratory tract in normal and typical pathologies" investigates the urgent problem of improving the reliability of diagnosis and effectiveness of treatment of disorders of the nasal breathing. Possibilities of modern 3D-printing technology for creation of individual natural anatomical models of the upper respiratory tract and determination of their aerodynamic characteristics are considered. The characteristics of the laminar boundary layer of the air flow in the parietal region of the nasal cavity are investigated under different modes of breathing in normal and with typical disorders of the nasal breathing. The concept of investigation of the aerodynamic indices of the anatomical structures of the respiratory system by the results of test tests of individual full-scale 3D models, obtained by the data of spiral computed tomography, is being developed. Theoretical bases of the method of computer planning of restorative rhinosurgical interventions in patients with chronic diseases of the nasal cavity are grounded, based on the change of the configuration of the anatomical structures of the nasal cavity taking into account the aerodynamic parameters of respiration. Modern distance learning and testing tools are being created to demonstrate the technology developed, to provide theoretical knowledge, practical skills and to solve situational tasks for a wide range of specialists. Development and research of natural patterns of the upper respiratory tract allows for supplementing and expanding the knowledge about the aerodynamic characteristics of the nasal cavity, to make decisions about therapy in a short period of time. Experience of the Laboratory of the Institute for Multiphase Processes (IMP) of the Leibniz Universität Hannover (LUH) in the development and use of rapid prototyping capabilities in biotechnology will provide technical support to the project.
Hubungan antara Beban Kerja Fisik dengan Kelelahan Kerja pada Pekerja Industri Pembuatan Mebel Kayu di Desa Leilem Satu
Authors: Reppi Giani C. , Suoth Lerry F , Kandou Grace D.
Published: December 2019

Abstract: Work fatigue is a condition of decreased working performance of an individual. Workload could cause work fatigue, therefore, work burden -physically and mentally- has to be individually adjusted. This study was aimed to evaluate the relationship between work fatigue and workload among workers of furniture manufactures at Desa Leilem Satu. This was an observational analytical study with a cross sectional design. Population consisted of all workers of furniture manufactures at Leilem Satu village with a total number of 72 workers. There were 42 respondents involved in this study. Data were analyzed by using the Spearman Rank correlation test. The Spearman Rank correlation test of the relationship between work fatigue and workload obtained a p-value of 0.039 (<0.05). In conclusion, there was a significant relationship between work fatique and workload among workers of furniture manufactures at Desa Leilem Satu.Keywords: workload, work fatigue Abstrak: Kelelahan kerja merupakan suatu keadaan dimana terjadi penurunan performa kerja dari seseorang. Beban kerja merupakan salah satu faktor penunjang terjadinya kelelahan kerja sehingga beban kerja yang diterima baik beban kerja fisik maupun mental harus sesuai dengan kemampuan fisik dan mental pekerja. Penelitian ini bertujuan untuk mengetahui hubungan antara beban kerja fisik dengan kelelahan kerja pada pekerja industri pembuatan mebel kayu di Desa Leilem Satu. Jenis penelitian ialah analitik observasional dengan desain potong lintang. Populasi yang digunakan yaitu seluruh pekerja di industri pembuatan mebel kayu di Desa Leilem Satu berjumlah 72 orang. Jumlah sampel yang didapatkan yaitu 42 orang. Data pene-litian diuji dengan menggunakan uji korelasi Spearman Rank. Hasil uji Spearman Rank terhadap hubungan antara beban kerja fisik dengan kelelahan kerja mendapatkan nilai p=0,039 (<0,05). Simpulan penelitian ini ialah terdapat hubungan bermakna antara beban kerja fisik dengan kelelahan kerja pada pekerja industri pembuatan mebel kayu di Desa Leilem Satu.Kata kunci: beban kerja, kelelahan kerja
TEATRO PARA LA PRIMERÍSIMA INFANCIA
Authors: Llergo Ojalvo Eva , Ceballos Viro Ignacio
Published: December 2019

El presente estudio tiene como fin ofrecer un acercamiento al teatro para la primerísima infancia (también denominado “teatro para bebés”) desarrollado en España desde comienzos del siglo XXI. Dada la escasez de investigaciones y publicaciones sobre el tema en el ámbito nacional, las conclusiones se extraerán a través de una triple vía: la lectura de revisiones teóricas sobre el teatro extranjero para la primera infancia sobre todo del ámbito anglosajón y francés; la entrevista a las principales compañías españolas que han realizado propuestas escénicas para estos espectadores; y el visionado y análisis de algunas de sus obras. Asimismo, se trazará una breve historia de la implantación de este tipo de espectáculos en España. La caracterización resultante del teatro español para la primerísima infancia se basa en los parámetros de experimentación, proximidad, poeticidad, lenguaje no verbal, condensación y especificidad temática. Dicha caracterización, aunque simplificadora, es indispensable para propiciar futuras investigaciones sobre una realidad cada vez más asentada en España y sobre sus beneficios para el desarrollo estético, cognitivo e integral de la primera infancia.
Degree of a Vertex in Max-Product of Intuitionistic Fuzzy Graph
Authors:   Assistant Professor, PG and Research Department of Mathematics, Government Arts College, Affiliated to Bharathidasan University, Trichy, Tamilnadu India., Mohamed* S.Yahya , Ali* A.Mohamed ,   Assistant Professor, Department of Mathematics, G.T.N. Arts College (Autonomous), Dindigul
Published: December 2019

Graph theory has applications in many areas of computer science, including data mining, image segmentation, clustering and networking. Product on graphs has a wide range of application in networking system, automata theory, game theory and structural mechanics. In many cases, some aspects of a graph-theoretic problem may be uncertain. Intuitionistic fuzzy models provide more compatible to the system compared to the fuzzy models. An intuitionistic fuzzy graph can be derived from two given intuitionistic fuzzy graphs using max-product. In this paper, we studied the degree of vertex in intuitionistic fuzzy graph by the max-product of two given intuitionistic fuzzy graph. Also find the necessary and sufficient condition for max-product of two intuitionistic fuzzy graphs to be regular.
Seismic Analysis of Electrical Panel
Authors:   Associate professor, Dept. of Mechanical, Vardhaman college of Engineering, Shamshabad, Hyderabad, India., Vardhan* M Vishnu , Dhanraj B ,   Assistant professor, Dept. of Mechanical, Vardhaman college of Engineering, Shamshabad, Hyderabad, India., Reddy K Rajasekhar ,   Assistant professor, Dept. of Mechanical, Vardhaman college of Engineering, Shamshabad, Hyderabad, India., Reddy S M Gangadhar ,   Assistant professor, Dept. of Mechanical, Vardhaman college of Engineering, Shamshabad, Hyderabad, India.
Published: December 2019

Equipments used at nuclear power plants require robust and reliable designs because in case of disaster, such as earthquake, small damage can turn into an unpredictable result. The analysis has been done using Finite Element Method (FEM), a common tool used for the analysis of structures. To conduct seismic analysis, it is necessary to perform modal analysis and calculate response spectrum from the Floor Response Spectrum. In the present project, data is obtained from the modal analysis using ANSYS software for panel assembly structure model. The Floor Response Spectrum (FRS) data for the geographical region where this structure will be mounted is collected. The collected data is given as input to response spectrum analysis where it subjected to these conditions. The output of this analysis determines whether the structure that has been designed is within the safety limit or not. In the present project a 3d model of the Electronic panel assembly structure is modeled using UNIGRAPHICS modeling software. The model is converted to parasolid and imported into Ansys. As a first step modal analysis has been performed to predict the fundamental frequency of the structure. Later dynamic analysis has been performed to evaluate the seismic response of the system under Operation Basis Earthquake (OBE). The response spectra used for OBE in X, Y, Z directions are given as input. The dynamic analysis has been performed to determine the stresses developed in the beam and results obtained have been compared to ASME standards. Based on the results obtained design optimization of the structure has been carried out.
Optimal Feature Selection using Particle Swarm Optimization with Random Forest Classifier for Lymph Diseases Prediction
Authors:   Research Scholar, Department of Computer Science, Bharathiyar University, Deborah* J. Junia , Parthiban Dr. Latha ,   Head Incharge, Department of Computer Science, Pondicherry University, Community College.
Published: December 2019

ML-based data classification approaches can be used as a decision making tool in various fields such as healthcare, disease prediction, etc. Presently, most of the data in medical domain comprise nature of high dimensionality Sometimes, FS (FS) methodologies is employed to improvise the classification results especially for high dimensionality issue by extracting the appropriate training instances to more number of determined features. This paper made an attempt to study the application of FS approaches on the classifier performance. For FS, genetic algorithm and particle swarm optimization (PSO) algorithm is used whereas random forest (RF) classifier is used for classification lymph diseases dataset. In the first stage, GA and PSO are used to reduce the feature subset and in the second stage, RF classifier is used. From the experimentation part, it is evident that the PSO based FS increases the classifier results compared to GA based FS. It is also studied that the FS process improvises the classifier results in a significant manner interms of diverse performance measures.
Thermal Conductivity & Thermal Expansion Behaviour of Hot Extruded Hybrid Composites of Al6061/Sic/GR
Authors:   M.Tech *, Asst Prof ,Department of Mechanical Engineering Rao Bahadur Y.Mahabaleshwarappa Engg College Ballari,Karnataka, Balaji M. , Yerrannagoudar Dr.Hiregoudar ,   Professor Department Of Mechanical Engineering Rao Bahadur Y.Mahabaleshwarappa Engg College Ballari,Karnataka, Kumar Dr.Veeresh ,   Associate Dean Dept Of Mechanical Engineering NIT Tadepalligudam Andhra Pradesh
Published: December 2019

In This Proposed Work Specimens Prepared By Stir Casting Method For Different Combinations Of Reinforcement’s Sic , Gr And Al6061 As Matrix, Further Subjected To Hot Extrusion At Ratios Of 2:1,3:1 & 4:I Temperatures Of 450,500 &5500c & Machined To ASTME831 And These Specimens Were Tested For Thermal Conductivity And Co-Efficient Of Thermal Expansion, Least Of All The Above Ratios And Temperatures Were Solutionised And Aged And The Process Repeated It Was Found That At Extrusion Ratio Of 3:1 With A Combination Of Al6061/4%Sic/2%Gr Both Thermal Conductivity & Thermal Expansion Was Found To Be Improved Compared To Conventional Aluminium.
Exploring Tech Savvy Trait AS A Base for Profiling Impulse Buyers
Authors:   Assistant Professor in Dept Of Rural Management, BBAU (A Central University, Lucknow)., Chaturvedi* Dr .Ramesh Kumar , Dwivedi Shivang ,   Research Scholar, Dept Of Rural Management, BBAU (A Central University, Lucknow).
Published: December 2019

Impulse buying behavior is a sudden spontaneous urge of the consumer to make unplanned purchase after seeing the product in the retail outlet. Such type of behavior involves purchasing without much thinking. A number of studies have been conducted in the past regarding consumer decision making. This study has its base in the form of tech savvy consumers. Impulse purchase behavior for tech savvy consumers has not been studied much in the past; neither any scale has been developed specifically for such kind of behavior. Numerous technological products are entering the markets now days in our Indian market. Talking about the smart phones or the automobiles etc. loaded with a plethora of latest technological features and also the information technology featured services like net banking, internet of things etc. are also the primary choice and these technical features attract the consumers in the products. This research will open insights about the impulse purchasing behavior of tech savvy consumers and there are some other personality traits also. Using the technique of K means clustering analysis has been done.
Importance of an Effective Test Suite Minimization Technique in Software Testing
Authors:   Department of computer science & applications Barkatullah University Bhopal., Khan* Dr. Fayaz Ahmad
Published: December 2019

Software testing is an important activity for developing a quality end product. But it is expensive as it requires both time and cost to perform it during development phase and after its delivery. Therefore, it is required to develop some techniques in this direction in order to make software testing a desirable as well as an affordable activity. Hence, in this study we have proposed an effective method that minimizes the size and redundancy from an automated random generated test suite using data clustering technique. The proposed technique compared to other existing techniques achieves a substantial amount of reduction in the size of the test suite without affecting the fault detection capability of the test suite.
ECG Classification using Machine Learning
Authors:   M Tech Scholar, Dept. of ECE, GRIET, Hyderabad, Sandeep* K , Kora* Padmavathi ,   Dept. of ECE, GRIET, Hyderabad., Pampana Lakshmi kala ,   Assistant Professor, Dept. of ECE, GRIET Hyderabad, Swaraja K ,   Professor, Dept. of ECE, GRIET, Hyderabad.
Published: December 2019

Recently, the obvious increasing number of cardiovascular disease, the automatic classification research of Electrocardiogram signals (ECG) has been playing a important part in the clinical diagnosis of cardiovascular disease. Convolution neural network (CNN) based method is proposed to classify ECG signals. The proposed CNN model consists of five layers in addition to the input layer and the output layer, i.e., two convolution layers, two down sampling layers and one full connection layer, extracting the effective features from the original data and classifying the features using wavelet .The classification of ARR (Arrhythmia), CHF (Congestive Heart Failure), and NSR (Normal Sinus Rhythm) signals. The experimental results contains on ARR signals from the MIT-BIH arrhythmia,CHF signals from the BIDMC Congestive Heart Failure and NSR signals from the MIT-BIH Normal Sinus Rhythm Databases show that the proposed method achieves a promising classification accuracy of 90.63%, significantly outperforming several typical ECG classification methods.
Design a Frequency Reconfigurable Microstrip Patch Antenna for Satellite Communication
Authors:   M.tech Student, Dept. of ECE, Andhra Loyola Institute of Engineering & technology, Andhra pradesh, India., Tejaswi* Uppala , Rao Sathuluri Mallikaharjun ,   Associate Professor, Dept. of ECE, Andhra Loyola Institute of Engineering & technology, Andhra pradesh, India.
Published: December 2019

A novel reconfigurable patch antenna with four diode switches for multi band applications is presented. The dual resonant mode of reconfigurable patch antenna is simulated by transmission line feeding. By varying the diode switching conditions of the patch, the resonant frequencies are varied. The reconfigurable patch has operating frequency of 18.50 GHz with return loss -17.80 dB, other resonant frequencies are 18.90GHz, 19.5GHz, 21.10GHz with return loss -20.77dB, -18.57dB, -14.29dB respectively. The simulated antenna has high radiation efficiency and good performance. The radiation patterns for resonance bands are realized at is 00 and is 900 in xz and yz plane. The co and cross polarization has been imparted and cross polarization is found below 20 dB at each angle of one plane and operating frequency. The simulation results have good consistency.
Business Performance Measures for the Third-Party Logistics Industry in UAE
Authors:   Department of Mechanical Engineering, Noorul Islam Higher Education,Kumaracoil,Tamilnadu,India, Ashok* R. , Rajesh R. ,   Principal, Rohini College of Engineering & Technology, Anjugrammam,Tamilnadu,India
Published: December 2019

Third party logistic market is booming everywhere in the world. Globalization of world economy, focusing on core competencies, logistic cost reduction, and delivery performance made companies focus on outsourcing logistics. Third party logistic market is an emerging trend in the United Arab Emirates. Due to the economic development, easy access to open business market, technological development, robotization of 3PL industry and globalization are the few determinants that the organizations wanted to invest their money in UAE. Third party logistic market is growing fast in Abu Dhabi in the same way as in Dubai, where the 3PL market is highly adopted with IT application and robotization in their 3PL operations. Data have been collected from the 3PL clients and the precise data were collected through questionnaire and field visit. Actually 102 calculated 3PL user companies took an interest in the survey. The collected information was analyzed by Friedman’s test. This study reveals clear understanding about the various business performance measures for the third-party logistic industry in Abu Dhabi, UAE. Results have demonstrated that all the business performance measures in the 3PL user organizations have the “P” value which is under 0.01, with the null hypothesis rejected at 1 percent level of significance.
An Improved Dual Clustering Method for Classification of Microarray Image Segementation
Authors:   Head, Department of Electronics and Communication Engineering, Vels Institute of Science, Technology &Advanced Studies (VISTAS), Chennai, India., Kumar* Dr. D. Ravi , Devi Dr.V. ,   Head, Department of Computer Applications, Gurunanak College, Chennai, India., Balasaraswathi Dr. M. ,   Associate Professor, Department of Electronics & Communication Engineering, Saveetha School of Engineering, SMITS, Chennai, India., Karthik Dr. B. ,   Associate Professor, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education &Research, Chennai, India.
Published: December 2019

Microarray is a fast and rapid growing technology which plays dynamic role in the medical field. It is an advanced than MRI (Magnetic Resonance Imaging) and CT scanning (Computerised Tomography). The purpose of this work is to make fine perfection against the gene expression. In this study the two clustering are used which fuzzy c means and k means and also it classifies with better results. The microarray data base indicates the classification in support vector machine. Segmentation is most important step in microarray image. The classification in support vector machine is compared with other two classifiers which means the k nearest neighbour and with the Bayes classifiers.
Revisiting State Subsidy Food Programme Model for India
Authors:   Associate Professor, Mittal School of Business, Lovely Professional University, Punjab, India., Sarva* Dr. Mahesh , Sidana Dr. Ajay ,   Associate Professor, Amity International Business School, Amity University, Noida, India., Singh Dr. Rupesh Roshan ,   Associate Professor, Mittal School of Business, Lovely Professional University, Punjab, India., Mandala Dr. Gangu Naidu ,   Assistant Professor, GITAM institute of Management, GITAM Deemed to be University, Visakhapatnam, India.
Published: December 2019

Food Problem in Indian Economy is acute. Food Problem in India is not only concerned with the shortage of food but also has a deficiency of nutrition. The 2015 Global Hunger Index ranked India twentieth amongst leading international locations with a severe hunger state of affairs. With food problem, malnutrition also places a heavy burden on India in terms of deaths, disease and direct impact on productivity. There are several programs in India to address this concern, the first initiative was Amma Unavagam food subsidization program run by the state of Tamil Nadu has won popular support and brought a new dimension in food security. Several states started the program with different dimension viz. Rajasthan, Madhya Pradesh, Odisha, Andhra Pradesh, Karnataka. There are other states which are planning to adopt this model including Uttar Pradesh. The present research analyzes the success of state programs that can be replicated to throughout India. The study discusses the implications for policy makers for successful implementation of the program. The study also highlights the possible limitations and future research.
Rice Yield Forecasting using Support Vector Machine
Authors:   Assistant Professor, Department of Management Studies, Kumaun University Campus, Bhimtal-253136, India,, Kumar* Sunil , Kumar Vivek ,   Professor, Department of Computer Science, Gurukula Kangri Vishwavidyalaya, Haridwar- 249404,India, Sharma R.K. ,   Professor, Department of Computer Science and Engineering, Thapar Institute of Engineering & Technology, Patiala - 147004, India
Published: December 2019

In the domain of Soft Computing, Support Vector Machines (SVMs) have acquired considerable significance. These are widely used in making predictions, owing to their ability of generalization. This paper is about the development of SVM based classification models for the prediction of rice yield in India. Experiments have been conducted involving one-against-one multi classification method, k-fold cross validation and polynomial kernel function for SVM training. Rice production data of India has been sourced from Directorate of Economics and Statistics, Ministry of Agriculture, Government of India, for this work. The best prediction accuracy for the 4-year relative average increase has been achieved as 75.06% using 4-fold cross validation method. MATLAB software has been used for experimentation in this work.
Financial Technology: Fragmented for Financial Inclusion?
Authors:   Master of Science in Management, Department of Management, Faculty of Economics and Business, Airlangga University, Surabaya, Indonesia., Pratama* Ahmad Aziz Putra
Published: December 2019

This study goals to discuss how the financial inclusion progress in Indonesia could be affected by the growing fintech industry. This research comprehensively discusses the current state of the platforms in the country, including the potential benefits and challenges. Such afflictions include the hugely-concentrated deposit market, to begin with, and the discrepancies between regulators and the technological changes, while the high internet and mobile phone penetration are only one of the many advantages the country endowed. The study also aims to highlight the challenges faced in increasing financial inclusion before the fintech platforms begin to flourish and how they differ to the current condition. The novelty and relevant policy recommendations also provided in the latter parts of the discussion.
The Ethicality of Choice of Humans Imperative for a Decision
Authors:   School of Mechanical and Building Sciences, VIT – Chennai, Chennai, India., Balaji V* Dhakshain , B Dr. Sivakami ,   School of Social Sciences and Languages, VIT – Chennai, Chennai, India.
Published: December 2019

A man must take right decision in order to make the outcome to be good for many. If we fail to make the right choice, the untold misery will be the consequence of man’s actions. The comparison of two movies, Deep Blue Sea and Avengers: Age of Ultron (2015) convey the importance of nurturing ethical values among the viewers and the instinct to utilize movies is mainly due to its easy accessibility and its impact on the viewers. This attempt brings out clearly how self-interest annihilates the existence of the entire humanity and right thinking preserves the lives of people.
Assessment of Rectangular Cavity in Concrete Gravity Retaining Wall using Finite Element Method
Authors:   research Scholar of Department of Civil Engineering of Sinhgad College of Engineering, Pune, Maharashtra, India, Tapkire* P. P. , Karkare Dr Bilawari ,   she is Director Vishwakarma Institute of Information Technology, Pune, Maharashtra, India
Published: December 2019

The design of the Gravity retaining wall (GRW) is a trial and error process. Prevailing conditions of backfill are used to determine the profile of GRW, which proceeds with the selection of provisional dimensions. The optimum section is having factors of safety of stability higher than the allowable values and stresses in the cross-section smaller than permissible. The cross-section is designed to fulfill conditions of stability, subjected to very low stresses. The strength of the material, which is provided in the cross-section remains unutilized. A computer program is developed to find stresses at various locations on the cross-section of GRW using the Finite Element Method (FEM). A discontinuity in the form of a rectangular cavity is introduced in the cross-section of GRW to optimize it. The rectangular cavity is introduced in the cross-section of GRW at different locations. An attempt is made in this paper to find the stress distribution in the gravity retaining wall cross-section and to study the effect of the rectangular cavity on the stress distribution. Two cases representing different locations are considered to study the effect of the cavity. The location of the cavity is distinguished by the parameter w, the effects of cases with varied was 0.2305 (Case-I) and 0.1385 (Case-II) are observed. The cavity, which is provided not only makes the wall structurally efficient but also economically feasible.
Bug Severity Prediction using Class Imbalance Problem
Authors:   University School of Information and communication technology, Guru Gobind Singh Indraprastha university, Delhi, India., Jindal* Shubhra Goyal , Kaur Arvinder ,   University School of Information and communication technology, Guru Gobind Singh Indraprastha university, Delhi, India.
Published: December 2019

Class imbalance problem is often observed when instances of major class exceed instances of minor class. The performance of machine learning techniques is immensely afflicted by imbalanced data in several fields. The skewed distribution either predicts the majority class with high error rate or will not foresee the minority class. To solve the problem of imbalanced data of software bugs, Synthetic minority oversampling technique (SMOTE) is used which balances the imbalanced datasets of Apache Projects. It is applied on summary of bugs to balance the dataset and predicts severity at system and component level. Several machine learning techniques are applied on imbalanced as well as balanced datasets to predict the severity of software bugs using textual description. Test outcomes and statistical analysis shows improved results on balanced datasets in respect to Gmean and balance metrics instead of machine learning techniques applied on imbalanced data. Evaluation metrics Gmean improves by 34% and balance by 11% at system level and by 42% and 62% at component level. Further, it was observed that solving class imbalance problem on textual data is helpful in augmenting the performance.
Threshold-Based Method for Detection of Distributed Denial of Service Attack in IoT
Authors:   M.E. Computer Science & Engineering Student National Institute Of Technical Teachers Training And Research (Nitttr), Chandigarh, Joseph* Johnson , Dutta Dr. Maitreyee ,   Professor And Head Of Department, Educational Television Centre National Institute Of Technical Teachers Training And Research (Nitttr), Chandigarh
Published: December 2019

The internet of things is the decentralized type of network in which sensor devices can join or leave the network when they want. Due to such nature of the network malicious nodes enter the network which affects network performance in terms of certain parameters. This research work is based on the detection and isolation of distributed denial of service attack in internet of things. The distributed denial of service attack is the denial of service type attack which affects network performance to large extent. In the existing techniques there are two main drawbacks. The first drawback is that the technique does not pin point malicious nodes from the network. The second drawback is that the malicious node detection time is very high. In this research, the new technique will be proposed for the isolation of malicious nodes from the network. In this technique, similarity of the traffic is analyzed using the cosine similarity. The sensor node which is generated dissimilar type of traffic is detected as malicious nodes. The proposed technique has been implemented in MATLAB and results have been analyzed in terms of certain parameters. It is expected that proposed technique detect malicious nodes in least amount of time.
Better Communication Tool for Specially Disabled
Authors:   CMR College of Engineering & Technology, Hyderabad, India, Saikiran* Gogineni , Pimpalshende Anjusha ,   CMR College of Engineering & Technology, Hyderabad, India, Dhanrajnath Porika ,   CMR College of Engineering & Technology, Hyderabad, India
Published: December 2019

Sign language is widely used when a dumb communicates. However, non-sign-language people find it difficult in interpreting them. So, we had come up with a system that enables speech impaired to speak with an artificial voice in public communities using Artificial intelligence techniques. we propose a hybrid-weighted metric known as weighted pruning in deep convolutional neural networks. In this work, we report experiments of weighted pruning. we show that using a weighted pruning strategy we can achieve significant speed up in Faster RCNN object detection model by discarding 50% of filters. In this paper we show evidences to our claim by reporting mean Average Precision of weighted pruned CNN is slightly higher than existing pruning techniques. The former part of the paper focus on moulding convolutional neural networks in terms of their speed and scalability for deploying them on mobiles, embedded and further small gadgets. The latter part of the paper describes novel approaches in letting dumb speak as fast as normal person in public, without time lapse using natural language algorithms and recommendations.
Development of Intelligent AVR for Synchronous Generator
Authors:   Assistant Professor, Dept. of EEE, M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India,, A* Udhayakumar , G Saravanan ,   Associate Professor, Dept. of EEE, M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India
Published: December 2019

The major part of an automatic voltage regulator (AVR) is to normalise the terminal voltage of synchronous generator. The structure modelled contains of the amplifier and generator. The AVR organisms are recycled usually in exciter control system. The part of an AVR is to grip the generator terminal voltage constant below standard operating surroundings at different load levels. The AVR loop of excitation mechanism preparation works terminal voltage error for adjusting the field voltage so as to mechanism the terminal voltage. The basic mechanisms of an exciter control system arrangement comprises of four leading components, namely amplifier, sensor, exciter and generator. The generator and amortisseurs systems state matrix are included, the system equations developed in that model includes one d-axis amortisseurs and two q-axis amortisseurs. This exertion targets to improve a simulation on steady state analysis of a power system with a controller established on fuzzy logic to maintain the terminal voltage.
Impact of FDI on Retail sector in India
Authors:   Asst. Professor, Rustaq College of Education, MOHE, (OM), Khan* Dr. Mohammed Shahfaraz
Published: December 2019

In this study impact of FDI on retail sector was assessed. Data from primary (n = 110) as well as from secondary sources was collected and analyzed through SEM in Lisrel 8.80. The reliability and validity of scales was assessed. For secondary analysis SWOT analysis was performed. In last we have tried to justify the research design for this research. Before conducting any research the researcher is supposed to have a research design on which the entire research is based.