Reviewerly/exHarmony huggingface dataset:
Content Analysis of Food and Nutrition Unit in High School Textbooks of Home Economics: Focus on the National Curriculums from 7th to 2015 Revised

본 연구는 제7차부터 2015개정 교육과정까지 식생활 영역의 교육과정별 변화를 살펴보기 위해 교육과정과 기술&#8901;가정 교과서 8권을 조사하여 분석하였다. 교과서 내 식생활 영역에 해당하는 그림, 그래프, 표, 사진에 있는 단어를 포함한 모든 텍스트를 파일로 전환하여 불용어를 제거하고 텍스트 마이닝 기법으로 상위 15개의 단어를 추출하였다. 이를 한눈에 파악할 수 있도록 워드클라우드(word cloud)와 언어네트워크 분석법으로 시각화하였다. 연구 결과는 다음과 같다. 제7차부터 2015개정 교육과정까지 고등학교 ‘기술&#8901;가정’ 교과서에서 식생활 영역의 비율은 평균 10.97%였고, 교육과정이 개정을 거듭함에 따라 식생활 영역이 차지하는 비중은 대폭 감소되었다. 고등학교 ‘기술&#8901;가정’ 교과의 교육과정에 나타난 식생활영역의 내용체계는 1개의 소영역이 독립적으로 구성되어 있고 일부 내용이 가족생활영역에 포함되어 있었다. 언어네트워크를 종합적으로 살펴보면 초대, 한식&#8901;재료, 영양&#8901;섭취&#8901;아기를 중심으로 3개의 큰 묶음이 형성되어 연결되어 있었다. 결론적으로 제7차부터 2015개정 교육과정까지 고등학교 ‘기술&#8901;가정’ 교과서의 식생활 영역의 비율은 계속 줄어들었고, 고등학교과정에서 식생활을 통한 소통과 사회적 의미를 강조하고 있음을 알 수 있었으며, 시대적 요구에 따라 교육과정별 내용변화가 크다는 것을 확인할 수 있었다.This study is focused on the examination of changes in textbooks of Home Economics in High school from 7st to 2015 curriculum, especially the ‘Food and Nutrition section. We investigated the content elements of the National Curriculum Guide, the changes in learning contents, and the number of pages of Food and Nutrition section. The key words were extracted and the connective relationships between words were visualized using a method of language network analysis through word cloud and Semantic Network Analysis. According to the results of the research, the portion of the Food and Nutrition section has been gradually decreased on the Technology&#8901;Home Economics, following the development of the curriculum. Through the whole curriculum, ‘invitation’, ‘Korean food’, ‘baby&#8901;nutrition’ are appeared as key words. The education contents of Food and Nutrition section from the 7th to 2015 revised have been developed and advanced with the changes of social needs. However, the reduction of portion and insufficiency of content elements of Food and Nutrition section bring concerns toward the decline of the quality of education on dietary life.
The Library's Place in a Mobile Space

&lt;p&gt;Presented at m-­libraries, June 23, 2009.&lt;/p&gt;
IEEE Transactions on Evolutionary Computation information for authors

The IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (TEVC), published six times a year, publishes archival quality original papers in evolutionary computation and related areas including nature-inspired algorithms, population-based methods, and optimization where selection and variation are integral, and hybrid systems where these paradigms are combined.Purely theoretical papers are considered as are application papers that provide general insights into these areas of computation.
Unconstrained temporal inconsistency checking of natural language in webpage

This paper discusses the problem called 'web temporal inconsistency', which refers to the ambiguity and conflict between the time webpages expressed and the actual time web users concerned about and understanding in the current situation. It is an important criterion of quality evaluation of network information, related to the timeliness and accuracy of webpage content. Huge quantities of pages have the problem, seriously affecting the user's understanding of content and decision-making. This paper analyses the problem of webpages, establishes the temporal inconsistency model and the method of measurement of unconstrained inconsistency which is one of the sub problems of web temporal inconsistency, and constructs the reasoning mechanism based on the web time axis. The experiments show the model is superior to the baseline.
Shadow DOM

In this chapter, you are going to get acquainted with Shadow DOM, another specification in the set of Web Components. You will learn what Shadow DOM is and how to use it in web components. Next, we will build a new web component for our collection.
A Context-Aware Mobile-Based System for Crime Prevention and Emergencies

Crime is a global issue that arises as a consequence of social problems in society such as poverty and densely population due to urbanization.In large cities, governments have applied technology to support crime prevention.In this paper, a mobile-based system is proposed to increase knowledge and public awareness which may reduce the risk of crimes.A context-aware system, namely, geo-fence, is used to enable virtual fences around crime hotspots.Crime hotspots are determined using crime histories and crowd-sourced data provided by citizen.As citizen enter crime hotspots, they would be alerted and provided information.Meanwhile, if they find or experience crime, they can report and label the location of the crime.
An Edge Optimization based Image Haze Removal Technique using a Single Image

The perceivability and shading loyalty of outside pix are willing to genuine debasement beneath murky or foggy weather. Numerous PC imaginative and prescient applications usesystems which assume that the information is sans dimness. What's greater, while the assets of info are cloudy, the yields of such frameworks could bring about true mistakes. Thusly, picture murkiness expulsion has right down to earth centrality for true programs. In this paper, we advocate an improved environmental dissipating model and present a proficient image murkiness evacuation calculation depending on the stepped forward model. The information photo is first divided into various scenes dependent on the dimness thickness. Next, a scene luminance map is assessed for each scene by using gambling out the averaging and disintegration responsibilities. At that factor, the profundity map is found utilizing a straight model, which makes use of the beauty and immersion segments of the statistics photograph. The transmission map is then assessed by utilising the got depthmap and the dissipating coefficient. Furthermore, a delicate tangling approach is applied for aspect enhancement, to do away with the negative influences triggered from an irrelevant scene department outcomes, and to supply a refined scene luminance guide and transmission map. At last, the improved climatic dispersing model is utilized to accumulate the cloudiness loose yield photograph. The check outcomes exhibit that our technique is a hit in looking after a progression of ordinary troubles like lopsided luminance, over improve and over immersion in pictures. In addition, our strategy outflanks maximum modern-day photo cloudiness expulsion calculations concerning first-rate and protection of edges
Developing Alumni Relationship Management using Thai Speech Recognition on Mobile Application

Alumni are one of the most significant assets for the success of universities. After graduation, they enter a new society, have work and family responsibilities which change over time according to their age and economic status. It becomes more difficult to communicate between friends and university. This situation is challenging to collect up-to-date information about alumni from a university database as well as sharing it with all alumni. This article demonstrates the alumni relationship management (ARM) using speech recognition for the mobile application on smartphones. It has been designed and developed for Thai speech recognition to facilitate alumni especially the elderly who may have vision problems or typing by applied the ionic framework to support both iOS and Android. The contents were evaluated by five experts to identify each feature of the developed mobile application. Afterward, the application was evaluated by one hundred twenty alumni. The learning post-test results scored higher than the pre-test results. The effectiveness evaluation results in terms of the accessibility barriers at the high-level while being used has high consensus.
Performance Analysis of Elastic Search Technique in Identification and Removalof Duplicate Data

Elastic search is a way to organize the data and make it easily accessible. It is a server based search on Lucene. It is a highly scalable, distributed and full-text search engine. Elastic search is developed in Java. It is published as open source under the terms of the Apache License. Elastic search is the most popular enterprise search engine. Elastic search includes all advances in speed, security, scalability, and hardware efficiency. Elastic search is a tool for querying written words. It can perform some other smart tasks, but its principal is returning text similar to a given query and statistical analyses of a quantity of text. Elasticsearch is a standalone database server, which is written in Java and using HTTP/JSON protocol,it’s takes data and optimized the data according to language based searches and stores it in a sophisticated format. Elastic search is very convenient, supporting clustering and leader selection out of the box. Whether it’s searching a database of trade products by description, finding similar text in a body of crawled web pages. In this manuscript elastic search capability of copied data identification and its removing techniques performance are analyzed.
Preface

University of Bengkulu, based on a mandate given by BKS PTN bagian barat (Coordination body of Indonesian state university in West Region), organized International Conference on Engineering Technology and Applied Science (ICETSaS) 2019 on 17-18 October 2019 in Bengkulu, Indonesia. The theme of ICETSAS 2019 is “Coordinating Science, Technology and Culture for Sustainable and Resilient Future”. The conference has been held successfully thanks to support from Indonesian Ministry of Research, Technology, and Higher Education, Bank Bengkulu, PT Telkom, PT Sentra Ardi Purna and many others. Selected papers from the conference is published in this book. The conference was honored by the presence of two keynote speakers i.e. Prof. Haslan Abu Hassan, Ph.D. from Universiti Sains Malaysia and Prof. Dr. Ing. Yulfian Aminanda, C-Eng. from Universiti Teknologi Brunei. Other speakers were also presenting many topics related to Geographic Information System, Cloud Computing, Web/Mobile Apps, Artificial Intelligent, Image Processing, Internet of Things, Control and Robotic System, Electronic and Instrumentation, Computer and Information System, Power Energy and Telecommunication. The review process indicates that many submitted papers are weak in term of language even though the content is interesting. Therefore, the organizing committee allow the papers to be presented first. After that, there is some assistance in improving the language of the paper to increase the quality of the paper. Papers which have been improved is then published in this proceeding. Relawan Jurnal Indonesia has been supporting the organizing committee in the publication process. We would like to thank the members of advisory boards (Prof. Drs. Suharno, M.Sc., Ph.D, university of Lampung and Dr. Ridwan Nurazi, M.Sc., University of Bengkulu), member of steering committee (Drs. Boko Susilo, M.Kom., University of Bengkulu; Irza Sukmana, S.T, M.T, Ph.D., University of Lampung), and many others which cannot be mentioned here. Organizing Committee Helmizar, S.T, M.T, Ph.D.
Make Your Nonprofit a Welcoming Environment

Nonprofit Communications ReportVolume 17, Issue 8 p. 5-5 Articles Make Your Nonprofit a Welcoming Environment First published: 15 July 2019 https://doi.org/10.1002/npcr.31263Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume17, Issue8August 2019Pages 5-5 RelatedInformation
Quantized Kalman Filter-Based Pattern Matching for Detection and Tracking of Moving Objects

Detection And Tracking Of Multiple Moving Objects From A Sequence Of Video Frame And Obtaining Visual Records Of Objects Play An Important Role In The Video Surveillance Systems. Transform And Filtering Technique Designed For Video Pattern Matching And Moving Object Detection, Failed To Handle Large Number Of Objects In Video Frame And Further Needs To Be Optimized. Several Existing Methods Perform Detection And Tracking Of Moving Objects. However, The Performance Efficiency Of The Existing Methods Needs To Be Optimized To Achieve More Robust And Reliable Detection And Tracking Of Moving Objects. In Order To Improve The Pattern Matching Accuracy, A Quantized Kalman Filter-Based Pattern Matching (Qkf-Pm) Technique Is Proposed For Detecting And Tracking Of Moving Objects. The Present Phase Includes Three Functionalities: Top-Down Approach, Kernel Pattern Segment Function And Kalman Filtering. First, The Top-Down Approach Based On Kalman Filtering (Kf) Technique Is Performed To Detect The Chromatic Shadows Of Objects. Next, Kernel Pattern Segment Function Creates The Seed Points For Detecting Moving Object Pattern. Finally, Object Tracking Is Performed Using The Proposed Quantized Kalman Filter Based On The Center Of Seed Point Affinity Feature Values Are Used To Track The Moving Objects In A Particular Region Using The Minimum Bounding Box Approach. Experimental Results Reveals That The Proposed Qkf-Pm Technique Achieves Better Performance In Terms Of True Detection Rate, Pattern Matching Accuracy, Pattern Matching Time, And Object Tracking Accuracy With Respect To The Number Of Video Frames Per Second.
On a Slightly Different Power Law-Scaling for the Flat Universe

A slightly different power law-scaling fits to the picture of our 13.7 billion years old flat universe which is expanding presently at 67 km/s/Mpc with an acceleration. The model which is an attempt to retain power-law scaling in the light of the accepted facts about the universe we are living in, has a constant effective equation of state parameter as the cosmic fluid is a solution of matter, radiation and dark energy. It is successful in explaining the acceleration of universe which the normal power law fails if the present Hubble parameter is 67 km/s/Mpc and age of the universe is 13.7 billion years, and it is free from the defect of singularity.
Privacy in Pervasive Computing Environment

Pervasive computing evolved tremendously as an exciting new paradigm to provide data collection, computing, and communication services all the time and everywhere. It has introduced a new world of computing and became an integral part of many fields and application domains. It allows users to interact with wired and wireless networks that support any information technology. In spite of many advantages associated with pervasive computing, communication services have some security risks. For sensitive and confidential data there should be some security mechanisms. In this paper, we present privacy issues and challenges that are preventing people from adopting the pervasive computing environment and we give a survey on the solutions that have been carried to minimize risks
Abnormal User Detection of Malicious Accounts in Online Social Networks using Cookie Based Cross Verification

Malicious account detecting is a serious problem on the Internet today. Online social media services like Facebook, LinkedIn, and Instagram, these services include good quality service like opinions, comments as well as poor quality services like rumors, spam, and other malicious activity. In this paper, we review the existing research work done on Facebook, Instagram and LinkedIn, study the techniques used to identify and analyze the poor quality content on Facebook, and other social networks, and we proposed a combined technique like dynamic user profile verification and cookie-based cross-verification to detect malicious activity in an online social network by using random forest machine learning algorithm We also attempt to understand the limitations posed by Facebook in terms of availability of data for collection, and analysis, and try to understand if existing techniques can be used to identify and study poor quality content on Facebook and other social networks.
Design alternatives of Euclidian greatest common divisor with enhanced architecture

In this paper, we proposed different comparable reconfigurable hardware implementations for greatest common divisor (GCD) and least common multiple (LCM) coprocessors using Euclid's method and plus-minus method with variable datapath sizes. The proposed designs utilised Altera Cyclone IV FPGA family with target chip device EP4CGX-22CF19C7 along with Quartus II simulation package. Also, the proposed designs were synthesised and benchmarked in terms of the maximum operational frequency, the total path delay, the total design area and the total thermal power dissipation. Thus, plus-minus method proved its enhanced performance by speeding up the operational frequency recoding around 142 MHz of data processing frequency with is as twice as its counterpart for Euclid's method while reducing the total path delay by almost 50% compared to Euclid's method. However, Euclid's method listed less hardware utilisation and power dissipation with almost 36% and 10% less than the values for plus-minus method respectively. Consequently, plus-minus method can be efficiently employed to enhance the speed of computation for many GCD-based applications such embedded system designs for public key cryptography.
Use Studies: Tools for Understanding Changing Patterns of Serials Use

Historical data for serials use continue to be needed for cancellation decisions or justification of serials expenditures. An ongoing use study at Austin Peay State University has evolved from a cumbersome manual record to a sophisticated Access and Excel reporting tool for collection management decisions. A recent cancellation project made full use of the data; future enhancements include cost analyses, tracking inflation rates, and linking data for title changes. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: &lt;docdelivery@haworthpress.com&gt; Website: &lt;http://www.HaworthPress.com&gt;]
Can local NURBS refinement be achieved by modifying only the user interface?

© 2015 The Authors. NURBS patches have a serious restriction: they are constrained to a strict rectangular topology. This means that a request to insert a single new control point will cause a row of control points to appear across the NURBS patch, a global refinement of control. We investigate a method that can hide unwanted control points from the user so that the user's interaction is with local, rather than global, refinement. Our method requires only straightforward modification of the user interface and the data structures that represent the control mesh, making it simpler than alternatives that use hierarchical or T-constructions. Our results show that our method is effective in many cases but has limitations where inserting a single new control point in certain cases will still cause a cascade of new control points to appear across the NURBS patch.
Kernel Methods

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in Python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for graduate courses on machine learning and for individual reference and self-study.
Designing Algorithms for Evaluating the Effectiveness of Remote Banking Systems

The objective of this research is to develop a software algorithm for evaluating the effectiveness of using the Financial Message Transfer System for Remote Banking Systems. The study considers interactions between the legal entity and the bank that are provided by two types of systems: «Direct Banking» and «Internet Banking». During the work the main features of remote banking systems and the efficiency criteria are identified and analyzed. In accordance with the proposed mathematical model, a software algorithm was constructed to obtain quantitative estimates of Remote Banking Systems effectiveness. The developed algorithm belongs to the heuristic class.
Strategic Review of the Organisation for Public Service Delivery in the Digital Era

This chapter initiates the pathway through the ISSP framework described in the previous chapter. The chapter focuses on three aspects. It provides the approach for conducting the organisational information systems strategic review applying McFarlan's Strategic Grid. This model helps an organisation to determine the focus of its current application systems, where the entity wishes to be in the future, and generally assess where the competition (or best practice benchmark entity) is currently positioned. The chapter then provides a method to carry out the organisational data usage strategic review applying Marchand's Area of Information Use model. This model aids management to determine to what purpose the current available information is being utilised. Finally, the chapter illustrates how a government entity may conduct a review of its customer persona profiles to enable it to explicitly know its customers, thus enabling it to promote and target its specific services. All the models and techniques applied in this chapter are supported by examples.
SKOS—managing vocabularies with RDFS-Plus

Enterprises have made amazing advances by taking advantage of data about their business to provide predictions and understanding of their customers, markets, and products. But as the world of business becomes more interconnected and global, enterprise data is no long a monolith; it is just a part of a vast web of data. Managing data on a world-wide scale is a key capability for any business today.
Wearable energy-efficient fitness tracking system for sports person health monitoring application

The high potential of wearable physiological sensors in regenerative medicine and continuous monitoring of human health is currently of great interest. In measuring in real-time and non-invasively highly heterogeneous constituents, have a great deal of work and therefore been pushed into creating several sports monitoring sensors. The advanced engineering research and technology lead to the design of a wearable energy-efficient fitness tracking (WE2FT) system for sports person health monitoring application. Instantaneous accelerations are measured against pulses, and specific walking motions can be tracked by this system using a deep learning-based integrated approach of an intelligent algorithm for gait phase detection for the proposed system (WE2FT). The algorithm’s effects are addressed, and the performance has been evaluated. In this study, the algorithm uses a smartphone application to track steps using the Internet of Things (IoT) technology. For this initiative, the central node’s optimal location is measured with the antenna reflectance coefficient and CM3A path loss model (IEEE 802.15.6) among the sensor nodes for energy-efficient communication. The simulation experiment results in the highest performance in terms of energy efficiency and path loss.