bluuebunny/crossref_metadata_2025 huggingface dataset:
Conflictos Sociales y el desarrollo económico en el contexto de la región de Huánuco
Authors: Cespedes Gargate Rosa Melibea , Venturo Orbegoso Carlos Oswaldo , Flores Zafra David
Published: January 2020

En el contexto de la región Huánuco se visualizó problemáticas que surgieron como causa de la explotación de los recursos que el gobierno concesionó para obtener fondos que permitieron las inversiones públicas. La sociedad, el Estado y las empresas privadas defendieron sus intereses, las que muchas veces resultaron contradictorias, y trajeron como consecuencia actos de violencia. Por lo descrito, esta indagación tuvo como objetivo: Determinar la influencia de los conflictos sociales en el desarrollo económico de la Región Huánuco en el país denominado Perú 2019. Para concretar los objetivos, se desarrolló una investigación que se basa en el paradigma interpretativo, cuyo enfoque fue cualitativa, de diseño investigación- acción; elaborada con apoyo de 6 participantes: 1 Representante de la Cámara de Comercio e Industrias de Huánuco, 1 Representante de la Defensoría del Pueblo de la ciudad de Huánuco, 1 representante de la Presidencia del Consejo de Ministros, 1 economista, 1 sociólogo experto en resolución de conflictos y 1 ciudadano de la Región de Huánuco.
 
Los resultados fueron determinados mediante un banco de trabajo llamado ATLAS TI .8, donde se interpretaron los resultados obtenidos con respecto a los conflictos sociales y el desarrollo económico de la región Huánuco, se denotó que existió una estrechamente vinculación. Esto explicó que los conflictos sociales más comunes tienen consecuencias directas el desarrollo económico, en el crecimiento del canon minero, en la agricultura, entre otros.
 
Se concluyó que la toma de decisiones y el apego de cuidar el interés público y/o privados de la apropiación de los recursos, el uso del agua, el aire, los bosques protegidos y los suelos son frecuentes y serios; debido a que fueron multicausales y repercuten directamente en el desarrollo económico de la región.
 
Palabras Claves: Conflicto social, conflicto económico, inversión privada, inversión pública.
КЫРГЫЗ ТИЛИНДЕГИ ИЛИМИЙ СТИЛДИН

ӨЗГӨЧӨЛҮКТӨРҮ
Authors: Камбаралиева У.
Published: January 2020

Аннотация. Макалада кыргыз адабий тилиндеги илимий стилдин өзгөчөлүктөрү, анын өнүгүү, калыптануу этаптары каралды жана азыркы учурдагы тилдин трансформациялануу жолдору аныкталды. Кыргыз адабий тилиндеги илимий стилдин өнүгүү жана калыптануу этаптарын экиге бөлүүгө болот: СССР доорунда жана СССРден кийинки эгемендүүлүк жылдары. Глобалдаштыруу кылымында тилдин илимий стили коомдун өнүгүшүнүн индикатору болуп кызмат кылуу менен,
жалпы тилге күчтүү жана туруктуу таасир кылат, мунун менен катар оң жана терс маанини чагылдырган тилдин трансформациялануу проблемасы пайда болот.
Түйүндүү сөздөр: функциялык стиль, илимий стиль, диглоссия, термин.
Аннотация. В статье рассматриваются особенности научного стиля кыргызского языка, этапы его развития и становления, определяются способы трансформации языка на современном этапе. Процесс развития и становления научного стиля кыргызского языка можно разделить на два этапа: в эпоху СССР, в постсоветский период. В век глобализации научный стиль языка становится индикатором развития общества, сильно и постоянно воздействует на весь литературный язык, наряду с этим появляется проблема трансформации языка, имеющей как положительное, так и негативное значение.
Ключевые слова: функциональный стиль, научный стиль, диглоссия, термин.
Annotation. The article deals with the features of the scientific style of the Kyrgyz
language, the stages of its development and formation, the ways of transformation of the language at the present stage. The process of development and formation of the scientific style of the Kyrgyz language can be divided into two stages: in the Soviet era, in the post-Soviet period. In the age of globalization, the scientific style of language becomes an indicator of the development of society, strongly and constantly affects the whole language, along with this there is a problem of language transformation, which has both positive and negative meaning.
Keywords: functional style, scientific style, diglossia, term.
ИСПОЛЬЗОВАНИЕ ЭЛЕКТРОННЫХ

ТЕХНОЛОГИЙ В ПРОЦЕССЕ ОБУЧЕНИЯ РУССКОМУ

ЯЗЫКУ КАК НЕРОДНОМУ
Authors: Шаршеналиева Бегимай
Published: January 2020

Аннотация: В статье рассматриваются возможности использования электронных ресурсов образовательного портала БГУ в учебном процессе. Одним из важных направлений развития системы высшего образования является внедрение информационно-коммуникационных технологий в процесс обучения, в том числе и русскому языку как неродному. В связи с этим появилась настоятельная
потребность поиска новых подходов к организации учебного процесса с целью достижения его качества и уровня мировых стандартов. В статье дана информация об «Образовательном портале» и принцип его работы, также рассмотрены функции электронной библиотеки, электронных ресурсов и показаны Возможности Образовательного портала, Портала «Образование на русском» Государственного института русского языка им. А.С. Пушкина.
Ключевые слова: электронное образование; образовательный портал; интернет- технологии; googleclass, учебный сервер; электронные ресурсы.
Аннотация: Макалада БГУнун билим берүү порталынын электрондук ресурстарын пайдалануу мүмкүнчүлүктөрү каралган. Жогорку кесиптик билим берүү системасын өнүктүрүүнүн маанилүү багыттарынын бири, анын ичинде орус тилин чет тили катары окутуу жараянына маалымат жана байланыш технологияларын киргизүү болуп саналат. Бул жагынан алганда, анын сапатын жана эл аралык стандарттарга жетүү үчүн билим берүү жараянынын уюмуна жаңы мамилелер үчүн абдан зарыл болуп турат. Макалада "Билим берүү порталы" жөнүндө маалымат берип, ал кандай иштегенин, ошондой эле электрондук китепкананын, А.С.Пушкин атындагы Орус тили институтунун порталынын иш-милдеттери көрсөтүлгөн.
Түйүндүү сөздөр: электрондук билим берүү; билим берүү порталы; интернет технологиясы; googleclass, үйрөтүү сервер; электрондук ресурстар.
Annotation: The article considers the possibility of using the electronic resources of the educational portal of Bishkek Humanitarian University in the educational process. One of the important directions in the development of the higher education system is the introduction of information and communication technologies in the learning process,
including the Russian language as non-native. In this regard, there was an urgent need
to find new approaches to the organization of the educational process in order to achieve its quality and the level of world standards. The article provides information about the "Educational Portal" and the principle of its operation, also discusses the functions of the electronic library, electronic resources and shows Opportunities of the Educational Portal, “Education in Russian” Portal of the State Russian Language Institute of A.S. Pushkin. Key words: electronic education; educational portal; internet technologies; google class; training server; electronic resources.
Proyección Cónica Equivalente de Albers: propiedades y aplicación para México
Authors: Vallejo Velázquez Mariana , Navarro Moreno Jesús Abraham
Published: January 2020

La cartografía nacional de México emplea de manera oficial tres proyecciones: la Universal Transversa de Mercator, utilizada en las cartas topográficas para escalas medianas y grandes; la Cónica Conforme de Lambert, adaptada a las condiciones del país para su representación en escalas pequeñas; y la Normal de Mercator, empleada con fines de navegación marítima. El uso por largo tiempo de estas proyecciones ha sido asimilado por la comunidad científica y se emplean de forma regular; no obstante, la investigación cartográfica relacionada con esta temática se ha detenido y no se ha buscado la aplicación de otras proyecciones cartográficas en el afán de alcanzar una mejor representación de los diversos temas de investigación, lo que impacta también en la precisión de los datos obtenidos. El presente trabajo tiene por objetivo mostrar el empleo de la proyección Cónica Equivalente de Albers con las adaptaciones de parámetros necesarios; en este sentido, se presentan las formulaciones que posibilitan la proyección de las coordenadas, el análisis de las deformaciones y la concepción una cartografía nacional a escala 1:500,000; subsecuentemente, el trabajo también pretende estimular la reflexión en torno a las posibilidades que tiene esta proyección que no preserva el ortomorfismo, considerado hasta ahora como única propiedad en la cartografía nacional mexicana.
Pengaruh Servicescape Terhadap Customer Loyalty Restoran Limited Service di McDonald's Surabaya
Authors: Purnama Rizky Ardi , Andajani Erna
Published: January 2020

Tujuan dari makalah ini adalah untuk menganalisis pengaruh servicescape baik dalam hal pementasan substansial dan pementasan komunikatif pada emosi konsumen restoran limited-service (McDonald's) di Surabaya yang menghasilkan kepuasan pelanggan dan ditampilkan dalam perilaku loyalitas, yaitu niat kembali (return intention), WOM intention, dan EWOM intention. Metodologi yang digunakan dalam makalah ini adalah Survei dengan SEM analisis. Hasil penelitian menunjukkan bahwa: 1.Ada pengaruh positif dan signifikan antara Substatntive Staging of Servicescape (SSoS) pada emosi pelanggan; 2. Ada pengaruh positif dan signifikan dari Communicative Staging of servicescape (CSoS) pada emosi pelanggan; 3.Ada pengaruh positif dan signifikan emosi pelanggan terhadap kepuasan; 4.Ada pengaruh positif dan signifikan dari kepuasan terhadap Subyektif - Kesejahteraan (SWB); 5.Ada pengaruh positif tetapi tidak signifikan kepuasan pada Keseluruhan Kualitas Hidup (QoL); 6.Ada pengaruh positif dan signifikan dari Subjektif-Kesejahteraan (SWB) pada Kualitas Hidup secara keseluruhan; 7.Ada pengaruh positif dan signifikan kepuasan terhadap loyalitas pelanggan; 8. Ada pengaruh positif dan signifikan dari loyalitas pelanggan pada niat pengembalian; 9. Ada pengaruh positif dan signifikan dari loyalitas pelanggan pada niat WOM; 10.Ada pengaruh positif dan signifikan dari loyalitas pelanggan pada niat EWOM.
Analisis Usaha Mikro dengan Pendekatan Business Model Canvas (BMC)
Authors: Anggraini Novy
Published: January 2020

Penelitian ini bertujuan untuk menganalisis kekuatan, kelemahan, peluang, dan ancaman berdasarkan 9 elemen Bisnis Model Kanvas dan memetakan strategi-strategi baru dalam rangka meningkatkan penjualan produk. Metode yang digunakan pada penelitian ini melalui pendekatan Bisnis Model Kanvas (BMK) dan analisis SWOT. Tahap awal penelitian yaitu dengan melakukan pemetaan BMK terhadap strategi yang telah dilakukan pemilik usaha, kemudian dikombinasikan dengan analisis SWOT yang menghasilkan matriks strategi. Matriks strategi menghasil kekuatan antara lain kebaruan produk, pemasaran online melalui sosial media, dan penyediaan tester untuk pengunjung toko. Kelemahan yang dapat diamati yaitu belum ada pelayanan untuk mempertahankan pelanggan, produk mudah ditiru, serta penggunaan mesin dan alat yang masih sederhana. Selain itu, peluang yang dapat tercipta antara lain belum ada pesaing di lini produk yang sama di dalam satu kota, membuat kemasan yang lebih menarik lagi, dan membuat website untuk memperluas pemasaran. Ancaman yang dapat muncul antara lain pelanggan yang mudah berpindah dan adanya produk buatan pabrik luar kota yang memproduksi dengan teknologi terbaru dan kemasan yang lebih menarik. Hasil matriks analisis SWOT tersebut dipetakan kembali ke dalam BMK. Dari hasil akhir pemetaan BMK menunjukkan beberapa tambahan strategi pada elemen-elemen yang dapat dijadikan alternatif strategi baru untuk diterapkan. Elemen-elemen tersebut antara lain: elemen Proposisi Nilai, Saluran, Hubungan dengan Pelanggan, Sumber Daya Utama, dan Struktur Biaya.
Optimization of frequency settling time of PLL using 3rd MASH Sigma Delta Modulator
Authors:   SEEE, Lovely Professional University, Jalandhar, India,, Patel* Govind Singh , Das Nripendra Narayan ,   Department of IT, Manipal University, Jaipur.India,, Sinha Sanjeet Kumar ,   SEEE, Lovely Professional University, Jalandhar, India,
Published: January 2020

To reduce settling time of PLL, an attempt to optimize the parameters has been proposed in this paper. The transient responses of various Phase Locked Loop (PLL) frequency synthesizer have been comparied with their active and passive poles effect. These results are presented on a type-II 3rd order PLL frequency synthesizer employing a 3rd order MASH sigma delta modulator. The simulation results show the improved performance of the fractional frequency synthesizer for the communication system. These results have been simulated using Advanced Design System(ADS) tool.
A Semi-Automated Record De-Duplication Technique for a Data Warehouse Environment
Authors:   Research Scholar, Department of Computer Engineering and Technology, MIT Academy of Engineering, Alandi, Pune, India., Wangikar* Vaishali , Deshmukh Sachin ,   Professor, Department of Computer Science and Information Technology, Dr. BabasahebAmbedkarMarathwada University, Aurangabad, India., Bhirud Sunil ,   Professor, Department of Computer Engineering and Information Technology, VeermataJeejabai Technological University, Matunga, Mumbai, India.
Published: January 2020

Quality of Record de-duplication is a key factor in decision making process. Correctness in the identification of duplicates from a dataset provides a strong foundation for inference. Blocking is a popular technique in de-duplication. In the traditional de-duplication process blocking key is decided by the domain expert. In real time systems, automation of blocking key generation is a primary requirement. Blocking key generation without any human intervention is the objective of this paper. The proposed Automated Token Formation (ATF) algorithm is a fully automated way for blocking key generation. The attributes shortlisted by ATF are almost similar to that of the manual method for all datasets experimented. Datasets like Cora, Restaurant, and FEBRL are used. It is observed that the token provided by ATF has shown 20 % poor results over manual tokens for Cora dataset while for the other two datasets results are matching with manual tokens. A modification is made to ATF to improve the quality of the result by Semi-Automated Token Formation (SATF) algorithm. SATF is a semi-automated approach where training data is needed. SATF has shown better performance over all the manual tokens as well as tokens by ATF.
Determination of Informative Features Based on the Criteria of Positive Type
Authors:   Tashkent University Information Technologies named after Al-Kharezmi, Tashkent, Uzbekistan., Narzillo* Mamatov , Nilufar Niyozmatova ,   Tashkent University Information Technologies named after Al-Kharezmi, Tashkent, Uzbekistan., Abdurashid Samijonov ,   Bauman Moscow State Technical University, Moscow, Russia Federation., Erkin Rahmonov ,   Tashkent Pharmaceutical Institute, Tashkent, Uzbekistan., Bakhromjon Abdurakhmonov ,   Tashkent Pharmaceutical Institute, Tashkent, Uzbekistan.
Published: January 2020

Currently, pattern recognition systems are widely used to solve practical problems. The choice of criterion in pattern recognition problems is fundamental. The choice of informative features depends on the criterion of informativeness. A single criterion has not been developed to select a set of informative features. Therefore, the criterion is selected from the formulation of a practical problem. For each selected criterion, it is necessary to develop special methods and algorithms. For homogeneous criteria, there is no single method.A new method and algorithm for determining sets of informative features based on generalized criteria of a positive order is proposed in this work.
Definition of Speech Intelligibility of the Uzbek Language
Authors:   Tashkent University Information Technologies named after Al-Kharezmi, Tashkent, Uzbekistan., Narzillo* Mamatov , Mirabbos Payazov ,   Tashkent University Information Technologies named after Al-Kharezmi, Tashkent, Uzbekistan., Nilufar Niyozmatova ,   Tashkent University Information Technologies named after Al-Kharezmi, Tashkent, Uzbekistan, Yusuf Yuldoshev ,   Tashkent University Information Technologies named after Al-Kharezmi, Tashkent, Uzbekistan., Mamadalieva Naibakhon ,   Uzbekistan National University of Uzbekistan named after Mirzo Ulugbek, Tashkent, Uzbekistan.
Published: January 2020

This article proposes an algorithm for automating the process of personality recognition based on voice, provides an analysis of existing methods used to solve the problem that needs to be solved. A method was implemented based on the Gaussian mixture model, which distinguishes a person’s voice with high accuracy. The components of this model allow you to simulate sound characteristics that are unique to each person. The results of the proposed algorithm and the use of voice recognition based on the results of the proposed algorithm are presented.
Radio Frequency Identification (RFID): A co-generation tool in Product Life cycle Management (PLM)
Authors:   Professor, Department of Applied Electronics, Vimal Jyothi Engineering College,Kannur, kumar* Dr,V.Sampath , Sridharan Dr.P. ,   Associate Professor, Department of Mechanical Engineering, VimalJyothi Engineering College, Kannur
Published: January 2020

Product life cycle management (PLM) and Radio Frequency Identification (RFID) when properly amalgamated aids product development throughout the lifecycle of the product design and narrows the gap between OEM (design team) and customer by providing real-time information about product failures thereby increasing product lifecycle. Therefore, this paper enhances the pros and cons of RFID in PLM as a co-generation tool and the benefits of using RFID in assembling critical components are elucidated. The PLM-RFID solution embraces a demand-focused supply chain representation by integrating suppliers, manufacturers, distributors, and retailers to share product movement data and feeds valuable inputs for new product development. To illustrate the benefits of PLM-RFID amalgamation in enterprise application we have developed middleware to facilitate data communication between RFID readers and PLM databases.
The Linguistic Situation of the Tribal Languages of Assam
Authors:   Ph.D. Research Scholar of Dept. of Assamese, Dibrugarh University, Assam, India., Borah* Heema Rani
Published: January 2020

Multi-linguistic and multi-ethnic people inhabit in Assam. Amongst these languages Assamese language is being used as a state-language as well as means of communication in Assam. Moreover, Assamese being the main medium of instruction in govt. schools, every student receive formal education in the Assamese language irrespective of their multilingualism. The tribal language of Assam is used among the particular tribe only. These languages lack heritage as there is no script for the same. Some languages are written with the help of the script of other languages. Albeit, the languages could not be opulent in case of written literature. Moreover, the languages have much adversity, for which languages face arduous challenges in the path of development. The current unprecedented development of science and technology, the expansion of transportation and communication as well as educational development etc. has made this challenge more forceful. Also the restricted use of the languages has led to their endangerment. In this case the current situation of these languages of Assam, the problems of tribal languages as well as the development of the language and the obligations towards nurturing these languages are discussed in this study. This paper also describes the degree of endangerment of the tribal languages of Assam and assesses its vitality with reference to the factors proposed by UNESCO. At the end of the study we can conclude in at to keep alive these languages, the govt. as well as the integrated tribe should make proper language planning and take all necessary steps. The only appropriate and useful reliable language for present and future will encourage and attract the future generation to use the same.
An Efficient Way to Detect and Remove Shadows Based on Multiple Light Sources
Authors:   Assistant Professor, Department of Information Technology, Shri Ramdeobaba College of Engineering and Management, Nagpur,India., Joshi* Prof. Rohini H.
Published: January 2020

A shadow is shaped when a light is blocked by an opaque object. They are sometimes unwanted as they may cause failure of image analysis and can also cause poor eminence of information. This paper first describes some important techniques that are used for shadow detection such as segmentation, Histogram Matching and some techniques that are used for shadow removal such as Morphological operations. The proposed methodology is to design a system based on three basic aims-the first goal is shadow detection of single and multiple images, second goal is to remove the shadow from the single and multiple images and third is to calculate the different parameter for measuring the quality of shadow removal method. Once the shadows are detected it becomes simple to detect a non shadow area which is estimated using morphological operators but sometimes when the shadow of any image is merged with the foreground object then the detection process becomes more complex.
Morphological Processes of Neologisms in Social Media Among the Public Figures
Authors:   Faculty of Applied Sciences and Technology, Universiti Tun Hussein Onn (UTHM). Johor. Malaysia., Shahlee* Shakina , Ahmad Salawati ,   Center of Language Studies, Universiti Tun Hussein Onn. Johor. Malaysia
Published: January 2020

This article investigated the morphological processes involved in the neologisms used by the public figures in social media. Language has seemed to evolve with the help of technologies especially English language which is the Lingua Franca in this digital platform. The Internet users or the ‘netizens’ tend to generate new words and phrases as part of their digital communication literacy. This trending phenomenon has created numerous forms of neologisms which somehow the new words created are used widely. The neologisms were collected and analyzed from the public figures through three social media applications which are Facebook, Instagram and Twitter. The morphological processes of the samples collected are analyzed qualitatively. The data of the study are analyzed to determine the types of processes that are frequently employed to form neologisms. The results are used to determine which morphological processes are most frequently used in forming neologisms in social media. From the study conducted, the result shows that blending process has the highest frequency among the eleven morphological processes selected and followed by acronym. As such, this paper intends to describe only one morphological process that obtains the highest occurrence, which is blending process.
Big Data in Auditing for the Future of Data Driven Fraud Detection
Authors:   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia, Handoko* Bambang Leo , Mulyawan Archie Nathanael ,   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia,, Tanuwijaya Jonathan ,   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia, Tanciady Fransiska ,   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia
Published: January 2020

Industry revolution 4.0 makes people face change, the auditor profession is no exception. Auditors no longer conduct audits using the manual method but use computerized systems such as big data analytics. Our research aims to find out how auditors must change, when facing new technology approach audit. Very complicated and various data kinds that was too large to be audited manually. The research method in this research is descriptive qualitative, the method of data collection uses interviews with informants. The informant is the auditor partner of the public accounting firm. Big data has advantage and disadvantage to audit and fraud detection profession. The results of this study state that audit firm must be aware of the obstacles that come from internal and external for the implementation of big data analytics audit. Obstacles will hinder the adoption of technology for the auditor, while the auditor must change rapidly following the demands of technological development
Face Detection and Recognition for use in Campus Surveillance
Authors:   Associate Professor, JNTUHCEH, Kukatpally, Hyderabad, India., Kranthikiran* Dr. B. , Pulicherla Dr. Padmaja ,   Professor, Department of CSE, Teegala Krishna Reddy Engineering College, Hyderabad, India.
Published: January 2020

The study of image processing in today’s world and the booming possibility of building a smart classroom and a smarter campus with the help of aided vigilance and surveillance is slowly moving from a thought that can be considered for the future to an actual real-world implementation. In modern day schools and university campuses there is an increasing demand for a real-time monitoring and quick responding database that tracks the student activities. This is not always required but serves as a one-click system that handles average information searches and returns the list of fast action options that are available in tracking the campus activities that come in the purview of its span. In a diverse educational campus comprising of several branches and streams that share a single campus, there is a possible chance of intrusion and unauthorized entry which may lead to undesirable and unnecessary loss of intellectual property and manipulation of identity. In a particular academic unit, there would be a surveillance system that monitors and tracks these activities and offers to its privileged users a response in real-time. It can also be used to track the attendance of students in an automated fashion which leads to a digitized and paperless approach. It can be said that this will be implemented in its entirety to a campus unit. Face identification is an essential step in face recognition, in which one of the typical of a class and authoritative application in visual sensor network. Visual perception is one of the physical measurements based on secured features. Face identification is a demanding assignment, because it has to scan and match against a library of known faces. E.g. lighting condition, different posture, various kind of body languages.
Markov Chain Modelling and GIS Interface to Analyze Traffic Congestion
Authors:   Assistant Professor, S R Engineering College, Warangal, Telangana, India., Swathikiran* Madduri , Reddy Dr. R. Archana ,   Professor, S R Engineering College, Warangal, Telangana, India., Sahithi G. ,   Assistant Professor, S R Engineering College, Warangal, Telangana, India., Prabhanjan N. ,   Assistant Professor, S R Engineering College, Warangal, Telangana, India., Yadav G. Swamy ,   Assistant Professor, S R Engineering College, Warangal, Telangana, India., Swetha D. ,   Assistant Professor, S R Engineering College, Warangal, Telangana, India.
Published: January 2020

Traffic congestion is the major problem that major metropolitan cities are facing. From the study it is observed that the main cause of the delay is because of not following the actual design of the transportation rules of the particular area. There are many factors which are influencing the congestion are taken in the study like road density, road geometrics and traffic composition. Data is collected at Gochibowli, Kothagudem and Cyber towers intersection regarding road geometrics, road density and volume count using ArcGIS and manually. The Markov chain is a mathematical model is used. Markov chain is a transition probabilistic model which can be used in any stream to find out percentage of chances for an event to take place. Empirical model is developed for delay prediction by considering the values from data collection. Penetrating the values into the transition probabilistic method and linear equations to find out the factors influencing delay and calculating the delay errors.
Design of Crescent Shaped 64-Elements Flexible Patch Antenna Array for the Application of Uterine Tumour Detection
Authors:   Research Scholar, Department of Electronics and Communication Engineering, Maulana Abul Kalam Azad University of Technology, West Bengal (Formerly known as West Bengal University of Technology) - Makaut,WB, India, Hazra* Rajasree , Ghosh Chandan Kumar ,   Professor, Department of Electronics and Communication Engineering in Dr. B. C. Roy Engineering College, Durgapur, West Bengal, India.
Published: January 2020

In this paper, a crescent shape 64 (8 × 8) elements microstrip patch array, using rubber substrate is designed and simulated to function at 4 GHz for the application of uterine tumour detection. A comparison using various combinations of antenna array elements is also presented. The centre-to-centre patch element distance is kept 0.5λ (λ = guided wavelength) for the antenna array to control mutual coupling. Electromagnetic simulator Ansoft HFSS 13 is used for the simulation. Characteristic analysis e.g. return loss(RL), radiation pattern of patch antenna array have been investigated. This antenna is placed on human uterine phantom model and simulated to detect uterine tumour. 64-elements antenna array has been fabricated also. In this paper, RL of -26.8384 dB & antenna gain of 21.0271 have been achieved for the proposed array. Human uterine phantom model is designed and simulated by CST Studio Suite 2019.
Characterization of MR Brain Images (Single Tumor) using HW Transform and Optimized Clustering with Shaft Algorithm
Authors:   Currently Pursuing P.hD in Computer Science and Systems Engineering at Andhra University College of Engineering, Andhra University, Vizag, India., Kumar* Gona Anil , Rao Dr Kasukurthi, Venkata ,   Working as Professor in the Department of Computer Science and Systems Engineering, Andhra University College of Engineering, Andhra University, Vizag, India., Murthy Dr Nistala V.E.S. ,   Working as a Professor in the Department of Mathematics,Andhra University Collegege of Science and Technology, Andhra University, Vizag , India.
Published: January 2020

Division is a procedure of dividing the picture into numerous items. It assumes an indispensable job in numerous fields, for example, satellite, remote detecting, object recognizable proof, face discovery and, most importantly, in the therapeutic field. In radiology, attractive reverberation imaging (mri) is utilized to consider the procedures of the human body and the elements of life forms. In clinics, this procedure has been generally utilized for therapeutic determination, to discover the phase of the malady and follow-up without introduction to ionizing radiation. Here, in this exploration proposition, we present another and new component for gathering the components of the improved rm picture, that is the high goals come to by the cross breed half and half (hw) proposed with insertion calculations, which will create much better outcomes. Contrasted with existing plans, for example, fcm and k-midpoints, to improve exactness and lessen estimation time. It additionally figures the region of the tumors with the assistance of the binarizatio technique that ascertains the territory of the tumor dependent on the amount of white pixels. The exhibition of the reproduction demonstrates that the proposed plan worked superior to the current division strategies.
Smart Vibration Sensor for Axleboxes
Authors:   Design Center “Design of Integrate Microelectronic System”, National Research University of Electronic Technology (MIET), Moscow, Russian Federation., Lebedev* Sergey , Sinutin Sergey ,   Institute of Radio Engineering Systems and Control, Southern Federal University., Sinutin Evgeniy ,   Scientific and Technical Center "Technocentre" of Southern Federal University., Koropets Petr ,   Department of Traction Rolling Stock, Electromechanical faculty, Rostov State Transport University, Rostov-on-Don, Russia.
Published: January 2020

This article describes the actual problem for railway transport, maximum thrust without boxing. The classification for dynamic modes operation of the locomotive drive is presented. An example of a system built for locomotive is presented. It is possible to use an encoder and vibration sensor inside a smart axle-box. These sensors based on a specially domestic designed ASIC. It is shown that vibration sensors could be positioned on the cover of an axle-box. Considering this fact, one could develop a system for predicting “before boxing” state of a wheel pair. That system could be based on domestically produced electronic components. This article is about developing a smart device for railway transport, in particular, for traction vehicle. The operating principle is based on express analysis of dynamic processes in the contact of the wheel with the rail, the characteristics of which are determined by the angular accelerations of the wheel pair and forward accelerations of the axle box, i.e. the bearing housing, which is rotating in the wheelset axle.
Developing 4IR Engineering Entrepreneurial Skills in Polytechnic Students. A Conceptual Framework
Authors:   Department of Technical & Engineering Education, Universiti Teknologi, Malaysia, 81310 Skudai, Johor Bahru, Malaysia, Abdullahi* Idris Mohammed , Jabor Mohammed Khata bin ,   Department of Technical & Engineering Education, Universiti Teknologi, Malaysia, 81310 Skudai, Johor Bahru, Malaysia, Akor Terungwa Stephen ,   Department, of Vocational & Technical Education, Benue State University, PMB 102119, Makurdi, Benue State Nigeria.
Published: January 2020

The Fourth Industrial Revolution (4IR) which is technological driven has brought a lot of opportunities those with entrepreneurial mindset as most of the skills demanded in the 4IR are entrepreneurial. This calls approaches that can lead to the development of engineering entrepreneurs that can drive the 4IR. To this effect, this study explored experts’ opinions on the most relevant entrepreneurial skills for the 4IR engineers as well as the best teaching methods to be adopted for the teaching of entrepreneurship education in Nigerian polytechnics. A two-round Delphi interview was used to arrive at 19 entrepreneurial skills with experts’ consensus of Wa = 0.821 and 8 innovative teaching methods with experts’ consensus of Wa = 0. 925. The results from the findings were used to develop a conceptual framework for the development of 4IR Entrepreneurial skills.
A Hierarchical Design of 128 Bit Carry Lookahead Adder in 65 nm CMOS Technology
Authors:   Research Scholar, EEE PhD, Rayalaseema University, Kurnool, Senior Member IEEE, Principal, PLNM Degree College, Opposite Acharya Nagarjuna University Mens Hostel, Nagarjuna Nagar – 522 510, Guntur Dist., AP, India., Prabhala* Kishore , Raju Prof. Prabhandhakam Sangameswara ,   EEE, SVU Engineering College, Sri Venkateswara University, Tirupati – 517 502, AP, India.
Published: January 2020

As One Giga Hertz microprocessors power mobiles, laptops, tablets and personal computers in last few years, there is a massive need to reduce the number cycles to do addition which plays a significant role in Arithmetic Logic Unit (ALU) or Digital Signal Processing (DSP). The complexity of carry propagation is the critical variable once the designs requires addition over 32 bits. A hierarchical design has been developed to find Carry out at 16-bit stage from Propagate and Generate techniques from a 4-bit stage of Carry Lookahead Adder (CLA), so called Carry Lookahead Logic (CLL). Four blocks of CLL have been used to create another CLL block at a 16-bit level and similarly at 64 bit level and 128 bit level. A 65 nm CMOS technology library from Microwind used to simulate from logic to circuit level for the hierarchical design of 128 bit CLA and compared with 90 nm technology
A Comprehensive Retrospection of Literature Reported Works of Community Question Answering Systems
Authors:   Assistant Professor, Department of CSE, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India., Rao P* Mr. Venkateswara , Sivakumar Dr. A. P. ,   Assistant Professor, Department of CSE, JNTU Anantapur, Andhra Pradesh, India.
Published: January 2020

Community question answering CQA) systems are rapidly gaining attention in the society. Several researchers have actively engaged in improving the theories associated with question answering (QA) systems. This paper reviews the literature reported works on question answering QA systems. In this paper, we discuss on the early contributions on QA systems along with their present and future scope. We have categorized the literature reported works into 20 subgroups according to their significance and relevance. The works in each group will be brought out along with their inter-relevance. Finding the question and answer quality is the prime challenge almost addressed by many researchers. Modeling similar questions, identifying experts in prior and understanding seeker satisfaction also considered as potential challenges. Researchers at the most have done experimentations on popular CQAs like Yahoo! Answers, Wiki Answers, Baidu Knows, Brianly, Quora, Pubmed and Stack Overflow respectively. Machine learning, probabilistic modeling, deep learning and hybrid approach of solving show profound significance in addressing various challenges encounter with QA systems. Today the paradigm of CQA systems took the shift by serving as Open Educational Resources to learning community.
An Implementation of Big Data Processing to Separate the Payload Based on Classification Tree Model
Authors:   Research Scholar, Department of Computer Science & Engineering, Annamalai University, TN, India., Renukadevi* G. , Selvakumar Dr. K. ,   Department of Information Technology, Annamalai University, TN, India., Tamilarasan S. ,   Department of Computer Science, Bharathiar University, TN, India., Venkatakrishnan Dr. S. ,   Department of Computer Science, Annamalai University, TN, India.
Published: January 2020

The process of distinguishing different types of data in the SQL server is the challenging task for further processing of big data. The big data is available in the Webpages, social media networks and cloud based web servers. In this implementation, the data can be retrieved from the cloud based web services. The data is temporarily posted in the REST API, and the data stored permanently in the SQL Server. The stored data is processed using the Classification Tree Model. Based on this method, the separation of types of payload is possible. With the help of this implementation, the types of the documents are automatically categorized using the trained data. Previously the training set has to be prepared for distinguishing different payloads and documents.
Dual-Channel Speech Enhancement Based On Speech Presence Probability
Authors:   Department of Information Technologies and Programming, University ITMO, Saint-Petersburg, Russian Federation., The* Quan Trong
Published: January 2020

This paper introduces technology to improve sound quality, which serves the needs of media and entertainment. Major challenging problem in the speech processing applications like mobile phones, hands-free phones, car communication, teleconference systems, hearing aids, voice coders, automatic speech recognition and forensics etc., is to eliminate the background noise. Speech enhancement algorithms are widely used for these applications in order to remove the noise from degraded speech in the noisy environment. Hence, the conventional noise reduction methods introduce more residual noise and speech distortion. So, it has been found that the noise reduction process is more effective to improve the speech quality but it affects the intelligibility of the clean speech signal. In this paper, we introduce a new model of coherence-based noise reduction method for the complex noise environment in which a target speech coexists with a coherent noise around. From the coherence model, the information of speech presence probability is added to better track noise variation accurately; and during the speech presence and speech absent period, adaptive coherence-based method is adjusted. The performance of suggested method is evaluated in condition of diffuse and real street noise, and it improves the speech signal quality less speech distortion and residual noise.
Design Fabrication of Adaptive Wing Structure
Authors:   Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia, Malaysia., Azid Nuramirah , Manan Dalia Abdul ,   Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia, Malaysia., Tet Ng Wi ,   Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia, Malaysia., Abdullah* Ermira Junita ,   Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia, Malaysia., Majid Dayang Laila Abdul ,   Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia, Malaysia.
Published: January 2020

This paper presents the design and fabrication work of adaptive wing using hybrid composite based on their structural response to shape memory alloy (SMA) actuation. The objectives of this study include designing a smart morphing wing, validating its structural response through computational and experimental analysis, and studying actuator placement in the adaptive wing. The computational analysis on the structural and aerodynamic performance is done with MSc Patran/Nasran and ANSYS Fluent respectively. The structural response observed is quite similar with computational analysis. From the obtained results, it can be taken that different actuator placement will produce a different profile of camber due to material stiffness and deflection. The actuator placement for the adaptive wing in this study has been found to produce positive camber and improve lift and drag aerodynamic performance.
Segmentation of Moving Objects using Numerous Background Subtraction Methods for Surveillance Applications
Authors:   Department of Computer Engineering, NMIMS University, Mumbai, India., Agrawal* Supriya , Natu Dr. Prachi ,   Department of Computer Engineering, NMIMS University, Mumbai, India.
Published: January 2020

Background subtraction is a key part to detect moving objects from the video in computer vision field. It is used to subtract reference frame to every new frame of video scenes. There are wide varieties of background subtraction techniques available in literature to solve real life applications like crowd analysis, human activity tracking system, traffic analysis and many more. Moreover, there were not enough benchmark datasets available which can solve all the challenges of subtraction techniques for object detection. Thus challenges were found in terms of dynamic background, illumination changes, shadow appearance, occlusion and object speed. In this perspective, we have tried to provide exhaustive literature survey on background subtraction techniques for video surveillance applications to solve these challenges in real situations. Additionally, we have surveyed eight benchmark video datasets here namely Wallflower, BMC, PET, IBM, CAVIAR, CD.Net, SABS and RGB-D along with their available ground truth. This study evaluates the performance of five background subtraction methods using performance parameters such as specificity, sensitivity, FNR, PWC and F-Score in order to identify an accurate and efficient method for detecting moving objects in less computational time.
Keystroke Logging: Integrating Natural Language Processing Technique to Analyze Log Data
Authors:   Department of Computer Science, Indus University, Ahmedabad, Gujarat, India., Parekh* Disha H. , Adhvaryu Nehal ,   Assistant Professor, Computer Science, Indus University, Ahmedabad, Dahiya Dr. Vishal ,   Head of Department, Department of Computer Science Sardar Patel University, Vidyanagar, Gujarat India.
Published: January 2020

Cyberwarfare is observed very frequently as always some or the other country is targeting to ruin its enemy country by hacking confidential data from vital computer systems. This has led to dangerous international conflicts. Hence, to avoid illicit entry of other than military person or a government official several tools are being used today as spyware. Keyloggers are one of the prominent tools which are used in today’s world to obtain secret or confidential data of a legitimate and contradictory a malicious user too. These keyloggers are advantageous and taken up positively for monitoring employee productivity, for law enforcement and the search for evidence of the crime. While it’s negative illegitimate use includes data theft and passwords. The keylogger is today witnessed as a malicious attack and is looked upon as a security threat. But every coin has two sides. Keylogger actually helps in avoiding several security breaches and also aids in detecting several crimes across the net world followed by other fellow countries. This fact has motivated to write this paper and as a consequence, an experimental analysis too was carried out in order to conclude that keyloggers’ log file helps identify the person by analyzing proper pattern of the words entered in the file. This paper focuses majorly on the aspect of natural language processing, where a log file obtained thru keylogger software is thoroughly processed via the algorithm as described in the paper. The results yielded a fair understanding of the results obtained as one can easily identify the words used and on the basis of that can also know the type of person on the other end with his ideas, malicious one or of a legal kind.
Design and Implementation of an RGB LED Matrix Display for Embedded Applications
Authors:   Scholar, Department of ECE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India., Dwik* Shaher , Amaya Mohammad ,   Department of Electronic Engineering, Faculty of Electrical & Electronic Engineering, University of Aleppo, Syria., Somasundaram Natarajan ,   Department of ECE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India.
Published: January 2020

This project presents the design and implementation of an 8-bit microcontroller based RGB LED matrix display (4 rows × 8 columns). A driving algorithm for RGB LED matrix was also implemented to show colorful shapes, patterns and pictures. It is similar to the common LED matrix display but with the ability to show various colors. RGB LED is an element that emits the three primary colors (Red, Green and Blue) separately. Thus, we can obtain any color we want by mixing these primary colors together in particular ratios. Using such kind of LED allows to use a new technique in designing that the pixel in common colorful matrix display consists of three separate LEDs (Red, Green and Blue) but now by using RGB LED we reduce the number of LEDs which make the resolution much better and also make the design of matrix less complicated. The work is divided into two main parts; first part is to design a circuit to control a single RGB LED manually using 555 IC, second part which is the main part is to design an array of RGB LEDs with a control circuit using a microcontroller. Proposed design has many advantages like; simple and low cost. Besides, Duty cycle used in the driving algorithm is less than 10% and that reduces the power consumption which is considered as an extra advantage of the project.