bluuebunny/crossref_metadata_2025 huggingface dataset:
Technology for Determining the Effectiveness of the State Industry Development Program
Authors:   Moscow Aviation Institute (National Research University) 125993, Russia, Moscow, Volokolamskoe highway, Valerievna* Moskvicheva Natalia , Oktaevna Melik-Aslanova Narmina ,   Moscow Aviation Institute (National Research University) 125993, Russia, Moscow, Volokolamskoe highway, Ten Alexander ,   Moscow Aviation Institute (National Research University) 125993, Russia, Moscow, Volokolamskoe highway
Published: April 2020

AnnotationThe analysis of the state program “Development of the aviation industry 2013-2025” is carried out. A set of program targets is being studied. A methodology for assessing the effectiveness of the implementation of state programs of the Russian Federation, which is used to prepare sections of the consolidated annual report, is considered. The analysis of the development of the aviation industry. The problems of assessing the effectiveness of the implementation of the state development program are highlighted. The article presents the results of the analysis of the relationship of gross domestic product, target indicators, and performance indicators of the state program "Development of the aviation industry 2013-2025." The expected results of the implementation of the state program are substantiated, discrepancies in the results of implementation from the expected results of the program are identified. A technology is proposed for determining the effectiveness of the state program, taking into account the technological, material, technical, innovative, personnel development of the industry. The results of the analysis can be used in the process of evaluating the effectiveness of implementation and planning of state development programs.
Intelligent Bus Fare Management System using Naive Bayes Algorithm
Authors:   Assistant professor in Computer Science and engineering in SRMIST,CHENNAI., Maniraj* S.P , Sharma Anirudh ,   is currently pursuing Bachelors degree program in Computer Science and engineering in SRMIST,CHENNAI., Ratnam Ishika ,   pursuing Bachelors degree program in Computer Science and engineering in SRMIST,CHENNAI., Kumar Aman ,   pursuing Bachelors degree program in Computer Science and engineering in SRMIST,CHENNAI.
Published: April 2020

In India, Buses are considered to be one of the cheapest mode of Public Transportation. Everyday thousands of people travel by bus to reach their offices, Amusement park, malls etc. The project has it’s use in providing an efficient transportation system in India. We are proposing such a system due to increase in traffic in recent days and to promote for public transportation among daily travellers. In this system, we are proposing QR reader for generating bus ticket. Users can scan QR code reader and make payment instead of taking tickets from conductor. Whenever a person decides to travel from one place to another, they have to select from and to location. It will then display all the buses moving in that particuar route. The user can then select the bus whichever suits him and then it will display amount details for per person and seat gets booked for the user. Then to generate the actual ticket, the users have to scan the QR code which is placed in the bus and make the required payment. After the successful payment, the conductor and traveller gets notified through SMS. Using this application, the user can also track the location of any bus with the help of GPS (Global Positioning System) and get to know the estimated arrival time(ETA) of a particular bus. The Application reduces passenger waiting time and make their travelling smooth and efficient. Also, we are using Naive bayes algorithm for classification of various attributes such as no of tickets booked every hour, no of person travelling in day, frequency of buses moving etc. Based on these attributes we can predict the probability of Buses required in a particular route, a single person travelling number of times in a day etc and help the public transport companies in increasing the usage while reducing the operational cost.
Implementation of Graph Colouring Technique in Crime Science
Authors:   Department of Mathematics, A.M Jain College, Meenambakkam, Chennnai – 600114, INDIA., Logeshwary* B.
Published: April 2020

This paper deals with the new method of graph colouring technique implemented in crime science. The graphical investigation uses the elements of graph theory to identify the suspects involved in unlawful act. The research paper focuses on the idea of graph colouring technique in crime problem which provides mathematical clarity for investigation in identifying the suspects. This method helps the crime scientist to expedite the investigation process to reduce time factor in decision making.
Optimization of Solar Energy Utilization, System Reliability and Utility Savings using a New Framework
Authors:   Phd Student, Department of CSE, Amrita Vishwa Vidyapeetham,Amritapuri,India, Nambiar* Lakshmi , Gopal Vinod Kumar ,   Director, Nanosolar Energy Design Center, Amrita Vishwa Vidyapeetham,Amritapuri,India, D Ashwin ,   MTech Student, Department of EEE, Amrita Vishwa Vidyapeetham,Amitapuri,India., Ganesan Subramaniam ,   Professor, Department of EEE and CSE,Oakland University,Rochester,USA.
Published: April 2020

The relevance of focusing on SPV systems with storage to meet the user specific requirement is discussed}. Existing Solar Photovoltaic (SPV) systems are studied and the need for introducing new classification based on the interaction with utility grid, solar module and battery backup, based on load types and end user application is proposed. In order to represent the entire SPV systems a generic framework is introduced known as the three-switch model. All the SPV systems under the new classification can be represented using the framework by changing the switch states. Using this framework, a method to convert existing backup systems into a grid-interactive system is proposed. The ways to enhance maximum solar utilization, utility savings and system reliability are discussed. The states of the grid-interactive systems are discussed and simulated using Typhoon HIL 600.
Non-Destructive Assessment of Heated Rc Columns Cooled by Two Cooling Methods
Authors:   Assistant Professor, Department of Architecture, School of Planning and Architecture (V), Vijayawada,, Dungi Jagath Kumari , Rao K. Srinivasa ,   Professor, Department of Civil Engineering, College of Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, India
Published: April 2020

Fire constitutes a major hazard to the buildings. The structural members exposed to high temperatures during fire accidents. The phenomenon observed was the structural members undergo dehydration of concrete, thermal distress in the form of cracking and spalling due to excessive heating. This leads to cause degradation of concrete strength. After tackle the fire hazard, the next step is to find the suitability of the building for repair or restoration, which involves assessment of fire severity and fire damage. Nondestructive testing (NDT) is the most practical and widely used methods to obtain in place strength or even for new structure strength. It is an effective tool for damage assessment and quality assurance, as well. In this paper, reinforced concrete (RC) columns made with OPC mix and HVFA mix, exposed to high temperatures ranging from 100 to 800°C. After heating, the specimens were brought to room temperature by air cooling and water quenching methods. The specimens were tested for residual compressive strengths and material integrity of concrete columns, by non-destructive testing methods, to understand how parameters like cooling condition and exposure duration influence the mechanical properties of conventional concrete mix and fly ash concrete mix. OPC concrete mix columns performed better strengths over HVFA mix columns when they cooled by air. Whereas water quenched HVFA mix columns upkeep the concrete quality grading on comparing the OPC mix specimens.
Spatial Correlation between Altitude & other Climatic Variables : A Climatic Model of Kashmir Region using Regression Analysis
Authors:   Student* , Masters, Remote Sensing & GIS in SRM Institute of Science and Technology., Malik Zubair , Nanda Dr. Sachikanta ,   (Ph.D) Assistant Professor (Sr.G) Department of Civil Engineering, Kattankulathur Campus, SRM Institute of Science and Technology. (formerly known as SRM University)., Annadurai Dr. R. ,   (Ph.D) Professor Department of Civil Engineering, Kattankulathur Campus, SRM Institute of Science and Technology (formerly known as SRM University).
Published: April 2020

Kashmir has been encountering expanded temperature and change in precipitation system, which may antagonistically influence the significant environments in the nation differentially. In this study a effort has been put forward to deduce a relationship between altitude & other climatic variables such as Annual average temperature, Annual average precipitation, Annual average wind speed, Annual average solar radiation, Annual average max temperature, Annual average min temperature & Annual average vapor pressure. The data used for this study was provided by worldclim (version2.0), the spatial resolution of the data was about 1 km². The large study area & fine spatial resolution produced a vast amount of data points, which were analyzed with a significance level of the tests at 5%. Further for analysis the data was divided into zones categorized according to the elevation zones, this was mainly done to ease the work flow as the observation points were vast and also to reduce the standard error for each of the variables during analysis. Based on the climate data and the DEM (Digital Elevation Model) used for this study we deduced four multiple linear regression equations for four elevation zones, which describe the relationship between altitude & climatic variables. Although deducing a climate model which can precisely define relationship between the climatic variables & altitude is a challenge although an effort has been made to describe the relationship between elevation and climatic variables.
Relevance of Big Data Technologies to and users in Context of Social Networking Applications
Authors:   AIIT, Amity University, Lucknow, India, Saxena* Pawan , Pandey Rajiv ,   AIIT, Amity University, Lucknow, India
Published: April 2020

Unremitting generation of data by various data analytics platforms, ubiquitous ,edge nodes and social networks in the concurrent scenario has shaped the exceptional amount of data in volume, velocity, veracity, variety and value. Exceptional data have made traditional information technology and method unfeasible to cope up amid. This exceptional data has been termed as Big Data. Social media is one of the most important sources of Big Data. social media is a constituent of Big Data. Besides Big Data plays a vital role in moving forward the Social Networking Applications to innovate and enhance the experience of users. Various technologies are factored for Big Data storage, processing and analysis in the context of social networking. This paper investigates these technologies which are being used by social networking applications with their relevance to the end users. The research article provides a relevance computation of various social media platforms. It further summarizes a visualization of the use of the platforms in their contribution to the big data.
Selection of Suitable Material for Journal Bearing by Tribology
Authors:   Faculty, Department of Mechanical Engineering, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Kancheepuram, Senkathir S , Raj A C Arun ,   Faculty, Department of Mechanical Engineering, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Kancheepuram, R Shyamsunder ,   Faculty, Department of Mechanical Engineering, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Kancheepuram, J Kameshwaran ,   Faculty, Department of Mechanical Engineering, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Kancheepuram, N S Nagu Aravind ,   Faculty, Department of Mechanical Engineering, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Kancheepuram
Published: April 2020

Wear is an influencing parameter which reduces the overall life of a machine and its parts. The wear rate and coefficient of friction under the same conditions of speed, load, lubrication and time were calculated for a set of materials used as journal bearings. Since journal bearings are important in a variety of applications, a wise selection of material with a constant low wear rate and low coefficient of friction is essential. The four materials tested for this purpose include Molybdenum Disulphide (MoS2), Stainless Steel (SS 304), Nylon 66, INCONEL 625. The basic methodology for determining wear and friction of these materials involves the use of a pin-on-disc test apparatus. The materials taken for testing are made into a pin of diameter and length 8 mm and 25 mm respectively. Scanning Electron Microscope (SEM) analysis and surface roughness measurements were carried out to study the properties. Hence, INCONEL 625 was found to be the ideal material for journal bearing applications due to its low wear rate, no fluctuation in wear rate, lower coefficient of friction and better mechanical properties compared to others.
Experimental and Numerical Determination of Critical Buckling Pressure of thin Cylindrical Shells Subjected To External Pressure
Authors:   Department of Mechanical Engineering, Pondicherry Engineering College, Puducherry – 605014, India., Rathinam* N. , Prabu B. ,   Department of Mechanical Engineering, Pondicherry Engineering College, Puducherry – 605014, India.
Published: April 2020

Thin shell structures have very high load bearing capacity, hence find wide applications in the field of mechanical engineering, structural engineering, sea shore structures, aerospace industries and nuclear engineering structures. The major failure of thin shell structures is buckling. Oil carrying pipelines, hull structures, oil tankers are few examples in which thin cylindrical shell structures fails by buckling under external pressure loading. In order to avoid the buckling failure, prediction of critical buckling pressure is important in thin shell structures under external pressure. But this critical buckling pressure depends on boundary conditions, imperfections, thickness variation of shells etc. To estimate the effects of these parameters on Critical Buckling Pressure (CBP) require a reliable experimental test rig. Hence in our proposed work, efforts are taken to develop a simple cost-effective reliable test rig to determine the effects of these parameter variations on the critical buckling pressure. For developing the test rig two important components to be designed properly namely, external cover cylinder and online pressure measurement system. The external cover cylinder with lid which contains test cylindrical shell inside should be designed in such a way that it should be leak proof and rigid so as to withstand the internal working pressure with negligible deformations. Hence, a ring and stinger stiffened cylindrical shell is taken as external cylindrical shell. The pressure variation in the test rig should be recorded online so as to predict the critical buckling pressure accurately. Hence, PC interfaced microcontroller-based pressure measurement system is developed in our proposed work. The test cylinder considered for this work is made of mild steel of size diameter 456 mm, length 456 mm and thickness 1 mm. The classical (simply supported) boundary conditions are assumed and simulated on both sides of the test cylinders. The experimental critical buckling pressures are compared with the FE results and both the results have good agreement.
Anti fuzzy Bi-ideal of a Near Algebra
Authors:   Department of Mathematics, University College for Women, Osmania University, Hyderabad - 500 095, Telangana State, INDIA, Jyothi* B. , Swamy Dr. P. Narasimha ,   Department of Mathematics, GITAM Deemed to be University, Hyderabad Campus-502 329, Telangana State, INDIA, Deshmukh Rakshita ,   Department of Mathematics, University College for Women, Osmania University, Hyderabad - 500 095, Telangana India
Published: April 2020

In this paper we introduce the notion of anti fuzzy bi-ideals of a near algebra and obtain some of the important properties related to the notion. We also study product of anti fuzzy bi-ideals in a near algebra and explore certain characterizations.
精细化管理在埃塞 MH 高速公路项目施工成本管控中的应用
Authors: 孙 岐
Published: April 2020

施工成本管控对于工程建设项目的实施具有重要作用，关注施工成本、实现利润最大化是每个施工企业的重要工作。海外项目施工有不同于中国项目施工的特性，其施工成本控制影响因素更多、更复杂。文章以某海外高速公路项目为例，研究了这类海外项目建设过程中施工成本的影响因素和管控中存在的问题，并提出了精细化管理的措施和实施方法。
道路桥梁施工中预应力技术施工质量的管理策略研究
Authors: 马 成亮
Published: April 2020

在中国交通运输行业的发展中，道路桥梁是其中的关键内容，其工程施工质量直接影响着道路交通的安全性。预应力施工技术是道路桥梁施工中的关键技术，相关部门必须予以重视，强化预应力技术的质量控制力度。文章主要对道路桥梁施工中预应力技术施工质量的管理策略进行了研究。
基于虚拟化技术构建模拟训练环境探讨
Authors: 杨 代全 , 李 黎
Published: April 2020

针对训练环境建设，文章提出了虚拟化模式建设方案，以虚拟化技术为代表的VMware vSphere 云操作系统构建的训练支撑环境，可以实现服务管理、资源动态分配、虚拟机复制迁移、数据快照恢复、主备快速切换等功能，能应用于信息系统日常实践和训练场景。
试论新形势下铁路运输对行车调度的要求
Authors: 刘 鹏
Published: April 2020

中国经济正处于一种比较快速发展的阶段，交通运输的总需求也在不断的增长，给交通运输带来了非常大的压力。而铁路仍然是当今最重要的一种交通方式，在运输当中发挥着非常重要的作用。行车调度是铁路运输指挥当中的重要核心部分，对维护铁路的运输安全起到非常重要的作用。
信息时代下电能计量系统的信息化建设
Authors: 赵 广利 , 戴 月升
Published: April 2020

在目前，随着中国社会的不断进步和经济的快速发展，人们在日常的工作生活当中已经离不开电力资源。中国在很早的时候就进行了电网覆盖工作，一些比较偏远的山村都能够用上电，但是在对于这些电的管理上仍然没有太大的技术突破，这也是限制目前电力企业发展最重要的原因。所以需要通过现代化的技术来对整个电力的计量系统进行建设，从而保证电力行业持续发展。文章首先对电能计量以及管理的现状进行阐述说明，然后探究了在信息时代下电能计量系统的信息化建设。
预应力技术在公路桥梁工程施工中的应用
Authors: 韩 建杰
Published: April 2020

论文从公路桥梁工程施工的现状、预应力技术的种类及工作原理等方面进行了全面的探讨，在不同情况下针对出现的问题进行了系统的分析。
工程地质勘查中的水文地质问题及策略研究
Authors: 方 家谷
Published: April 2020

在水文地质勘查过程中，相关人员需要深入分析施工现场的水文地质情况，制定相应的勘探计划，提升工程项目建设的整体质量。
水利水电工程的水文地质勘察策略研究
Authors: 马 玉林 , 邓 瑞伦
Published: April 2020

在水利水电的工程建设中，水文地质勘察工作是非常重要的，只有对建设工程开展当期区域的水文地质情况进行全面的了解，才能更好地为施工项目的开展制定有效的预防措施，从而在确保施工安全的基础上，提高整个工程建设的质量。对此，论文主要对水利水电工程的水文地质勘察策略进行研究，希望能够为相关人士提供帮助。
试论建筑电气管道预留预埋施工工艺
Authors: 叶 钒臣
Published: April 2020

在建筑工程项目施工过程中，电气安装往往会在预留预埋过程中出现问题。为了有效地解决建筑电力安装项目质量问题，相关技术人员需要实行预留预埋施工对策，有效提升建筑工程项目的整体质量。文章主要研究了建筑电气管道预留预埋施工工艺。
Efektifitas Pengelolaan Kepariwisataan Di Kabupaten Polewali Mandar
Authors: Ismawaty Andi , Hasanuddin Hasanuddin , Jinne Jinne
Published: April 2020

ABSTRAK
Pariwisata merupakan sektor yang paling potensial mendatangkan devisa dan paling mudah menciptakan lapangan kerja. Dalam konteks ini aktivitas ekonomi secara langsung akan meningkat serta memberi dampak baik dalam meningkatkan taraf hidup dan kesejahteraan masyarakat maupun dalam  menunjang peningkatan pendapatan asli daerah (PAD). Tujuan penelitian ini untuk mengetahui kesiapan daerah dalam pengelolaan program kepariwisataan baik bagi peningkatan pembangunan maupun bagi peningkatan aktivitas ekonomi masyarakat di Kabupaten Polewali Mandar.  Penelitian ini menggunakan pendekatan deskriptif-kualitatif serta pemilihan informan secara purposive sampling. Adapun teknik pengolhan dan analisis data dengan tahapan yaitu : reduksi data, penyajian data dan penarikan kesimpulan. Penelitian ini menggunakan strategi analisis studi kasus dengan mengambil kasus-kasus pada program kepriwisataan yang telah dilksanakan.  Hasil penelitian penunjukkan bahwa pengelolaan kepariwisataan masih perlu ditingkatkan sehingga dapat mendorong pengingkatan aktivitas ekonomi di Kabupaten Polewali Mandar.
Arithmetical Datatypes, Fracterms, and the Fraction Definition Problem
Authors: Bergstra Jan Aldert
Published: April 2020

Datatypes and abstract datatypes are positioned as results of importing aspects of universal algebra into computer science and software engineering. It is suggested that 50 years later, by way of a transfer in the opposite direction, outcomes of research on datatypes can be made available via elementary arithmetic. This idea leads to the notions of an arithmetical signature, an arithmetical datatype and an arithmetical abstract datatype and to algebraic specifications for such entities. The area of fractions in elementary arithmetic is chosen as an application area and while taking a common meadow of rational numbers as the basis, an arithmetical datatype equipped with an absorptive element. The use of datatypes and signatures makes syntax available for giving precise definitions in cases where lack of precision is common place. Fracterm is coined as the name for a fraction when primarily understood as a syntactic entity. The main contribution of the paper is to provide a detailed terminology of fracterms. Subsequently the fraction definition problem is stated, a distinction between explicit definitions of fractions and implicit definitions of fractions is made, and an outline of a survey of both forms of definitions of the notion of a fraction is given.
DINÁMICA POBLACIONAL DE INSECTOS POLINIZADORES INTRODUCIDOS EN PALMA OLEÍFERA
Authors: Gualoto Walter , Garcés Sandra , Navarrete Mercedes , Ortega Digner , Orellana Jorge
Published: April 2020

Las poblaciones de material genético silvestre de palmas oleífera (Elaeis oleifera H. B. K.) presentan resistencia o tolerancia a la anomalía Pudrición del Cogollo, mismas que son útiles para cruzar con la especie Elaeis guineensis y aumentar la resistencia a esta enfermedad. En esta investigación se utilizaron claves taxonómicas a fin de identificar insectos polinizadores introducidos en palmas oleíferas y determinar su fluctuación poblacional en la zona de La Concordia, Ecuador. Se colocaron trampas de color amarillo (11 cm x 3 cm) cubiertas de pegante, ubicadas en los estratos alto, medio y bajo de las inflorescencias masculinas y femeninas en estado de antesis. Se registró el número de insectos polinizadores capturados, precipitación y temperatura media mensual en el año de muestreo (2014). El género con mayor cantidad de insectos capturados fue Mystrops sp (49,6 %); seguido de Couturierius sp (28,98 %) y de Grasidius hybridus (21,42 %). Se contabilizaron en total 5 780 insectos capturados, donde el 57,85 % de la población se localizó en las inflorescencias masculinas en estado de antesis (IMA) y el 42,15 % en las inflorescencias femeninas en antesis (IFA). El número de individuos de Mystrops sp fue mayor en el estrato medio de las inflorescencias masculinas en enero, octubre y septiembre; al igual que Couturierius sp en septiembre, octubre y diciembre; mientras que Grasidius hybridus tuvo mayor presencia en el estrato alto de las inflorescencias femeninas en abril y junio. La baja precipitación causó disminución en la población de Grasidius hybridus. Las especies Grasidius hybridus, Couturierius sp y Mystrosp sp se han establecido en la zona de estudio.
Biskupi i mnisi w Kościele Wschodu pod panowaniem Sasanidów = Bishops and monks in the Church of the East in the Sassanian period
Authors: Izdebski Adam
Published: April 2020

This paper studies the relationship between Church hierarchy and monastic groups in the Syriac Church of the East in late antiquity (during the period of the Sassanian rule). Previous scholarship on this subject assumed the existence of a ‘natural’ conflict between the bishops and the monks in the East Syriac world of late antiquity. In this respect, it followed the early medieval eastern Syriac sources, which were created by monks themselves – and in all probability, these authors significantly rewrote the earlier history of their own Church. In this study, instead of relying on later sources, I propose to focus on the evidence that actually survives from late antiquity, that is the normative sources. These are collections of canons produced by the synods of the Church of the East that took place between ad 410 and ad 605. A detailed analysis of these sources leads to the conclusion that the relationship between the bishops and the monks in this particular Church was not characterized by a permanent, ‘natural’ conflict. Rather, subsequent policies that the bishops pursued vis-à-vis the monks were part of larger projects of church reform, that occurred almost one generation after another. These reforms had to do with the dynamic growth of the Church of the East, its integration into the Sassanian society, but also with the increasing challenge posed by the eastward expansion of the Monophysite West-Syriac Church structures and monastic communities, which in many places in Iraq and Iran seemed to threaten the very existence of the Church of the East.
Mekanisme Resistensi Acinetobacter baumannii terhadap Antibiotik Golongan Karbapenem
Authors: Dharmawan Ade , Layanto Nicolas
Published: April 2020

Acinetobacter baumannii (A. baumanii) merupakan salah satu spesies Acinetobacter tersering diisolasi dari manusia, dan lebih sering dijumpai pada infeksi nosokomial dibandingkan dengan infeksi di komunitas. Eksistensi bakteri ini di lingkungan terkait dengan keragaman reservoir, kemampuan memperoleh gen pembawa sifat resisten antimikroba, dan sifat resisten terhadap pengeringan. Infeksi disebabkan strain A. baumannii yang resisten terhadap banyak antibiotik tidak mudah dikendalikan dan menjadi permasalahan di berbagai negara. Karbapenem merupakan antibiotik utama yang dipakai untuk mengobati pasien infeksi oleh Acinetobacter sehingga menyebabkan peningkatan resistensi bakteri ini terhadap karbapenem. Mekanisme kerja karbapenem yaitu dengan menghambat polimerisasi dan perlekatan peptidoglikan pada dinding sel. Kurangnya penetrasi obat (mutasi porin dan efflux pumps) dan atau carbapenem-hydrolyzing beta-lactamase enzymes seperti OXA carbapenamases dan metalo-beta-laktamase (MBL) memperantarai terjadinya resistensi karbapenem.

Kata Kunci: karbapenem, resistensi antibiotik, Acinetobacter baumannii
Hubungan Senam Tai Chi dengan Tekanan Darah dan Frekuensi Denyut Nadi pada Usia 45 Tahun Ke atas di Kelurahan Duri Kosambi Tahun 2017
Authors: Stefanie Stefanie , Rumiati Flora , Wiliam Wiliam
Published: April 2020

Prevalensi hipertensi meningkat sesuai dengan bertambahnya usia. Di Indonesia masalah hipertensi dan penyakit kardiovaskular cenderung meningkat. Tujuan penelitian ini adalah mengetahui hubungan senam Tai Chi dengan tekanan darah dan frekuensi denyut nadi pada usia 45 tahun ke atas. Penelitian ini merupakan penelitian analitik observasional dengan pendekatan cross sectional. Subjek penelitian sebanyak 60 orang berusia 45 tahun ke atas yang terbagi dalam dua kelompok, kelompok yang mengikuti senam Tai Chi (n=30) dan kelompok yang tidak mengikuti senam Tai Chi (n=30) di kelurahan Duri Kosambi. Variabel yang diukur yaitu tekanan darah sistolik, diastolik, dan frekuensi denyut nadi. Perbedaan bermakna atau hubungan antara senam Tai Chi dengan kedua kelompok dianalisis dengan uji t tidak berpasangan dan uji Mann-Whitney. Hasil penelitian menunjukkan pada kelompok yang tidak memiliki riwayat penyakit kardiovaskular terdapat hubungan atau perbedaan bermakna  (p<0,05) antara senam Tai Chi dengan tekanan darah sistolik (p=0,011), namun tidak terdapat hubungan (p>0,05) terhadap tekanan darah diastolik (p=0,362) dan frekuensi denyut nadi (p=0,525). Pada kelompok yang memiliki riwayat penyakit kardiovaskular baik konsumsi obat kardiovaskular dan tidak, didapatkan adanya hubungan antara senam Tai Chi dengan tekanan darah sistolik (p=0,009) dan frekuensi denyut nadi (p=0,002), namun tidak ditemukan adanya hubungan antara senam Tai Chi dengan tekanan darah diastolik (p=0,057). Dari penelitian ini disimpulkan bahwa senam Tai Chi memiliki hubungan atau pengaruh terhadap tekanan darah sistolik dan frekuensi denyut nadi, dan tidak berpengaruh terhadap tekanan diastolik.
Perubahan Kualitas Hidup Lansia (WHOQOL-BREF) Sebelum dan Sesudah Intervensi untuk Meningkatkan Kadar Hidrasi Kulit di STW Cibubur
Authors: Elizabeth Jessica , Tan Sukmawati Tansil , Firmansyah Yohanes , Sylvana Yana
Published: April 2020

Salah satu permasalahan kesehatan lansia yang sering terjadi pada kulit adalah masalah kulit kering dan gatal. Gangguan ini mempengaruhi kualitas hidup lansia. Penelitian ini bertujuan untuk mengetahui perubahan kualitas hidup lansia secara holistik setelah intervensi peningkatan hidrasi kulit. Kualitas hidup secara holistik mencakup empat domain yaitu kesehatan fisik, psikologi, hubungan sosial, dan lingkungan. Penelitian dilakukan di Panti STW RIA Pembangunan Cibubur pada periode September 2019. Penelitian dilakukan secara quasi experimental, menggunakan kuesioner WHOQOL-BREF. Analisis statistik dilakukan menggunakan uji statistik Paired T-Test dengan uji alternatif Wilcoxon. Hasil menunjukkan terdapat 13 dari 26 butir pertanyaan pada WHOQOL-BREF yang mengalami perubahan yang signifikan karena intervensi yang dijalankan, yaitu pertanyaan Q1, Q2, Q10, Q15, Q16, Q5, Q6, Q11, Q19, Q26, Q23, dan Q24 (nilai p<0,05). Terdapat juga peningkatan nilai dari seluruh domain WHOQOL BREF (p <0,05). Disimpulkan bahwa terdapat perubahan total nilai yang bermakna pada total seluruh domain antara sebelum dan sesudah intervensi peningkatan status hidrasi kulit (p< 0,05).
Case of Bullous Impetigo Developing into Staphylococcal Scalded Skin Syndrome: Case Report
Authors: A Elharrouni , M Elimam , R Dassouly , KH Hnach , S Elloudi , Z Douhi , H Baybay , M Hida , FZ Mernissi
Published: April 2020

Staphylococcus aureus can cause exfoliative skin conditions, ranging from localized bullous impetigo (BI) to staphylococcal scalded skin syndrome (SSSS). The latter is a potentially life-threatening disorder, which leads to blistering of the upper layer of the skin, by the release of a circulating exotoxin. The disease especially affects infants and small children but has also been described in adults. SSSS usually presents with a prodrome of sore throat or conjunctivitis. The infection is often peri-facial impetigo, here is usually no bacteremia. Bullous impetigo, the toxin produces blisters locally at the site of infection, whereas in cases of the scalded-skin syndrome, it circulates throughout the body, causing blisters at sites distant from the infection.
Performance Evaluation of Caps-Net Based Multitask Learning Architecture for Text Classification
Authors: Jacob Dr. I. Jeena
Published: April 2020

The classification of the text involving the process of identification and categorization of text is a tedious and a challenging task too. The Capsules Network (Caps-Net) which is a unique architecture with the capability to confiscate the basic attributes comprising the insights of the particular field that could help in bridging the knowledge gap existing between the source and the destination tasks and capability learn more robust representation than the CNN-Convolutional neural networks in the image classification domain is utilized in the paper to classify the text. As the multi –task learning capability enables to part insights between the tasks that are related and enhances data used in training indirectly, the Caps-Net based multi task learning frame work is proposed in the paper. The proposed architecture including the Caps-Net effectively classifies the text and minimizes the interference experienced among the multiple tasks in the multi –task learning. The architecture put forward is evaluated using various text classification dataset ensuring the efficacy of the proffered frame work
Design and Development of Automatic Micro Controller based Weather Forecasting Device
Authors: V Dr. Bindhu
Published: April 2020

The entailment for weather forecasting to take the essential pre-cautious measures in our regular routines and elude the unwanted fatalities has made this more attractive area of research. Particularly in the rural areas the weather forecasting enables the farmers to have an effective crop management, avoiding the destruction in the crops and increasing the yield. In order to have a real time weather forecasting the proposed method in the paper tries to develop an automatic weather forecasting device based on the microcontroller. The proposed method utilizes the sensors to monitor the weather changes and engages the raspberry pi to process the information gathered and convey it to the end user. The proposed system was tested by implementing it in the Indian delta districts and the accuracy, precision and flexibility in the forecasting was evinced by the data output observed over and done with the Thinkspeak .Web
Automatic Traffic Control Technologies for Remote Monitoring Of Unmanned Railway Gates
Authors: JV Anand
Published: April 2020

Continuous researches are done to improve technologies for developing effective, economical and productive solutions for preventing fatalities in the railway gates that are unmanned. Several solutions in this research field have been suggested but none of them are sufficiently effective to deploy them at the automated level crossings and fully eradicate human presence. Surveying the current methodologies and the pitfalls in them the paper has developed an efficient and cost effective remote monitoring for unmanned railway gates, enabling automated traffic control technologies and the wireless sensors. The paper scope in developing an automated traffic control in the unmanned railway gates in India.
Performance Analysis of Clustering Based Image Segmentation Techniques
Authors: Manoharan Dr. Samuel
Published: April 2020

As the images are examined using the latest machine learning process, the techniques for computing the images become highly essential. This computation applied over the images allows one to have an assessable information’s or values from the images. Since segmentation plays a vital role in processing of images by enhancing or hypothetically altering the images making the examination of valuable insights easier. Several procedures and the methods for segmenting the images have been developed. However to have an better process it is important to sort out an effective segmentation procedure, so the paper performs the analysis of the clustering based image segmentation techniques applied on the magnetic resonance image of the human brain to detect the white matter hyper intensities part. The evaluation process take place in the MATLAB to evince the accurate valuation procedure. The optimal procedure is sorted out to be used in observing and examining the medical images by implementing over a computer assisted tool.
Analysis of Artificial Intelligence based Image Classification Techniques
Authors: Shakya Dr. Subarna
Published: April 2020

Time is an essential resource for everyone wants to save in their life. The development of technology inventions made this possible up to certain limit. Due to life style changes people are purchasing most of their needs on a single shop called super market. As the purchasing item numbers are huge, it consumes lot of time for billing process. The existing billing systems made with bar code reading were able to read the details of certain manufacturing items only. The vegetables and fruits are not coming with a bar code most of the time. Sometimes the seller has to weight the items for fixing barcode before the billing process or the biller has to type the item name manually for billing process. This makes the work double and consumes lot of time. The proposed artificial intelligence based image classification system identifies the vegetables and fruits by seeing through a camera for fast billing process. The proposed system is validated with its accuracy over the existing classifiers Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Random Forest (RF) and Discriminant Analysis (DA).
Quantization with Perception for Performance Improvement in HEVC for HDR Content
Authors: Deva Koresh Mr. H. James
Published: April 2020

Human eye always reveals a non –linear understanding, for the disturbances caused by the lossy image and video coding. This is mainly because of the masking capability of the human eye to conceal the attributes such as contrast, luminous, spatial and temporal frequencies. To have a distortion less and efficient video encoding for the high dynamic video range content by eluding the invisible messages in the video that causes disturbances the paper puts forth the quantization with perception utilizing the luminous masking. The methodology utilized, computes the tone mapping to scale every frames in the HDR and later quantizes on unit basis with perception tuning. For this purpose the mechanism put forth incorporates the reference model of the HEVC with the extension range of the HEVC. The proposed model was validated by evaluating the reduction incurred in each rate of bit compared to the HDR range extension. The results acquired proved to have an enhancement in terms of the savings endured in the bit rate compared to the High efficient video coding that relied on the high dynamic range visible difference predictor-II
EFFICIENT AND SECURE DATA UTILIZATION IN MOBILE EDGE COMPUTING BY DATA REPLICATION
Authors: N. Dr. Bhalaji
Published: April 2020

The technological improvement at a rapid pace in the information and the communication fields has made the internet of things inevitable in our day today activities and takes a significant role in the every part of our regular schedule. The seamless communication through the internet of things is made possible, by connecting the tangible things around resulting in the numerous of advantages such as timely information delivery, servicing and monitoring. The inbuilt benefits of the IOT has made it more prominent among a wide range of application resulting in a huge data flow, though the congestion in the dataflow are managed using the cloud computing and the alternative sources such as the edge computing , the security of the data that are used are still under research. To manage the huge data flow and have secure data utilization in the internet of things, the paper has put forth the mobile edge computing integrated with the data duplication process taking into consideration the power utilization and the response time. The proposed method is simulated using the Network Simulator-2 and results obtained shows that the duplication process provides an enhancement in the bandwidth utilization along with the cut down in the power consumption and the response time.
Analysis of Data Stream Processing At Edge Layer for Internet of Things
Authors: Dr. Pasumponpandian
Published: April 2020

The progress of internet of things at a rapid pace and simultaneous development of the technologies and the processing capabilities has paved way for the development of decentralized systems that are relying on cloud services. Though the decentralized systems are founded on cloud complexities still prevail in transferring all the information’s that are been sensed through the IOT devices to the cloud. This because of the huge streams of information’s gathered by certain applications and the expectation to have a timely response, incurring minimized delay, computing energy and enhanced reliability. So this kind of decentralization has led to the development of middle layer between the cloud and the IOT, and was termed as the Edge layer, meaning bringing down the service of the cloud to the user edge. The paper puts forth the analysis of the data stream processing in the edge layer taking in the complexities involved in the computing the data streams of IOT in an edge layer and puts forth the real time analytics in the edge layer to examine the data streams of the internet of things offering a data- driven insight for parking system in the smart cities.
A Regression Approach to Distribution and Trend Analysis of Quarterly Foreign Tourist Arrivals in India
Authors: Chakrabarty Navoneel
Published: April 2020

International Tourism has been a very important contributor to a country's economic development. In developing countries like Argentina, Brazil, India etc., the tourism industry plays an important role in the Gross Domestic Product and Foreign Exchange Earnings. Now a days, India has been welcoming a highly impressive number of foreign tourists from all round the globe annually. This study aims at analysing the distribution and trend of foreign tourists visiting India, among the four quarters of a year, given different configurations of Gross Domestic Product and Foreign Exchange Earnings using Machine Learning and Regression Analysis. A 4 headed Machine Learning Model has been constructed and trained independently for the purpose. Finally, the results of the four individually trained sub models are collected together for Trend Anal ysis and Distribution Analysis. This final evaluation is done for the year 2012 post to Model Construction, Training, Tuning and Individual Validations of the 4 sub models. It has been found that the Distribution and Trend Analysis have been almost similar to the Original Distribution and Trends of Foreign Tourists among the four quarters of 2012. This similarity in Distribution Analysis has been shown using visualizations like Pie Chart and that in Trend Analysis has been shown using Line Plots.
Scheduled Optimal SDWSN Using Wireless Transfer of Power
Authors: C Dr. Anand
Published: April 2020

Energy scarcity is one of the biggest threats faced by today’s society because of the increasing demand for Wireless Sensor Networks. Wireless power transfer is one of the merging solutions that promise to address this energy scarcity and replenish the sensor nodes. In this method, dedicated energy transmitters are used to transfer energy to the sensor nodes. Moreover, Software-defined Wireless Sensor Networks (SDWSNs) have been proposed recently and are defined such that they are used to utilize the WSN resources to its maximum potential. The proposed methodology proposes a Wireless power transfer using SDWSN. We have designed a method to find the minimum energy transmitters by placing the energy transmitters in the node. A trade-off is made between fair distribution of energy and maximum energy charged in the network to place the energy transmitters. The proposed mechanism is defines a utility function in order to increase fairness and total energy charged. The goal is to decrease the energy consumed by the transmitters while retaining the charge of the sensor nodes. The simulation results illustrate the optimum efficiency of the proposed methodology with respect to energy consumption, number of tasks, number of energy transmitters, fairness and energy charged.
Interference Reduction Using Principles and Application of Cognitive Radar in Pulse Jammer Suppression
Authors: Bestak Dr. Robert
Published: April 2020

The increase in the number of emitters operating at a frequency close to that of the modern radar systems impose a major challenge on the rapidly developing market for communication systems and the increasing demand for electromagnetic spectrum. Interference problems occur when multiple radar systems of the same type operate in the same environment with limited bandwidth availability and leads to frequency regions overlap. The radar systems incur significant performance losses due to the inferences caused under such circumstances. The concept of Cognitive Radar can provide solutions for such issues. This paper provides an improved Cognitive Radar architecture to address these challenges. The strong interference signals are suppressed using adaptive processing technique. The significant market advantages and application overview of this system is also presented in this paper.
Anomalies Detection in Fog Computing Architectures Using Deep Learning
Authors: Shakya Dr. Subarna , S. Dr. Smys
Published: April 2020

A novel platform of dispersed streaming is developed by the fog paradigm for the applications associated with the internet of things. The sensed information’s of the IOT plat form is collected from the edge device closer to the user from the lower plane and moved to the fog in the middle of the cloud and edge and then further pushed to the cloud at the top most plane. The information’s gathered at the lower plane often holds unanticipated values that are of no use in the application. These unanticipated or the unexpected data’s are termed as anomalies. These unexpected data’s could emerge either due to the improper edge device functioning which is usually the mobile devices, sensors or the actuators or the coincidences or purposeful attacks or due to environmental changes. The anomalies are supposed to be removed to retain the efficiency of the network and the application. The deep learning frame work developed in the paper involves the hardware techniques to detect the anomalies in the fog paradigm. The experimental analysis showed that the deep learning models are highly grander compared to the rest of the basic detection structures on the terms of the accuracy in detecting, false-alarm and elasticity.
Effective Fragmentation Minimization by Cloud Enabled Back Up Storage
Authors: Pandian Dr. A. Pasumpon , S. Dr. Smys
Published: April 2020

Nowadays to increase the efficiency, consistency and the quality of the organizations and to further extend the business world wide the digitization is followed in processing, storing and conveying the information. This in turn has also caused huge set of data flow paving way for the data recovery services. The cloud computing with the massive storage capabilities have become a predominantly used paradigm for data storage and recovery due to its on demand network access, elasticity, flexibility and pay as you go. Moreover to secure the information that is stored the information’s are fragmented and stored. However this fragmentation process often occurs in the form of dispersed and scattered packages lacking proper order heightening the time and minimizing the efficiency of the recovery and information collection. To bring down the restoration time and enhance its efficiency the proposed method in the paper tries to reduce the fragmentation by minimizing the number of dispersed and scattered packages for this the paper utilizes the Hybridized Historical aware algorithm (HHAR) along with the cache aware filter to gather the historical information’s associated with the back-up system and the identify the out of order containers respectively. Further the every data package is protected applying the advanced encryption standard by producing a key to authenticate the access of the data. The proposed model is simulated using the network simulator-II and the results obtained shows that the recovery time is enhanced by 95% and the restore performance is improved by 94.3%.
Smart Contract Based Industrial Data Preservation on Block Chain
Authors: D. Dr. Sivaganesan
Published: April 2020

The ground work for establishing the industrial 4.0 age involves the tiered architectures that are made up of multiple planes encompassed with the physical things that are embedded with internet capabilities. This infrastructure enables an incorporation of the various functions that are necessary in a manufacturing industry to enhance the efficiency of the industry, and contrivance a highly supple and a self-organizing industry that is smart. On the other hand it becomes essential to preserve the information’s safely as many internet enabled devices are utilized and more networks are formed for the proper incorporation of the various activities taking place. Since the conventional methods are inadequate the block chain method was most preferred due to its transparency and highly reliable and expedient services. To further structure a tamper proof network the blockchain is built with the smart contract laid on the system providing the impermeable authenticity on the industrial data transferred by securing the information’s against the authentication that is anonymous. The performance of the system is validated to on the basis of security provided on the transactions made, and the cost spent on the proposed design.