Reviewerly/exHarmony huggingface dataset:
Upaya meningkatkan hasil belajar siswa melalui model mind mapping berbantuan medvis kelas v tema organ gerak hewan dan manusiadi sd n 1 gulang

This research aims to improve the understanding of concept of grade V SD N 1 Gulang on theme 1 motion organs of animals and humans and describes the use of learning modelsMind Mapping-assisted medvis.Learning outcomes are abilities that students have as a result of learning activities that can be observed and measured in the form of knowledge, attitudes, and skills. While the learning Mind Mapping is a learning strategy designed with effective methods to develop the notion or idea through concept maps. The hypothesis of action in this research is the application of the model of learning mind mapping assisted medvis can increase students learning outcomes (1) and (2) teacher skills on the theme of Organ motion of animals and humans on grade V SD N 1 Gulang . This research be carried out in class V SD N 1 Gulang with 34 students of the subject which will be implemented over the last two cycles. Variables bound research is learning outcome, while the free variable is a model of learning Mind Mapping. This research uses instruments data analysis qualitative and quantitative data analysis.Student learning outcomes in the Social Studies content I cycle study obtained an average grade of 70,44 with a percentage 70.05% criteria “enough” andoncycle II an average grade 80 with a percentages of 88.23% criteria “very good”. While incharge ofIndonesian Language cycle I study obtained an average grade of 70.14witha percentage64.7% criteria “enough”andoncycle II increasedthe average grade gained 80.44 withpercentage 85.29%criteria “enough”.Learning outcomes of skills aspects in the Social Studies content I cycle study obtained an average NAKD grade of 56,58 criteria “enough” andoncycle II an average NAKD grade of 77,69 with criteria “good”While incharge ofIndonesian Language cycle I study obtained an average NAKD grade of 56,61 criteria “enough” andoncycle II increasedthe average NAKD grade gained 76,46 withcriteria “good”. In addition, the skills of teachers in cycle I get an average percentage of 60,20% criteria “enough” dan on cycle 2 II increased with the acquisition of an average percentage of 81,94% criteria “very good. Based onthe results of theclassroom action research, it can be concluded that the application of themind mapping modelassistedmedviscanimprovelearning outcomes ofthe V grade studentsSD N 1 Gulang.
PartsSweeper

Electronics workbenches often becomes messy, as various electronic parts and tools are used repeatedly. To solve this problem, we propose a system called "PartsSweeper", which cleans up both parts and tools on electronics workbenches. The PartsSweeper mainly consists of a customized XY plotter and GUI software on a tablet. We attached several magnets, servomotors, and lift mechanisms on a head of the XY plotter. As most electronic parts and tools are ferromagnetic, the system can move them along with the head while the magnet is lifted. Moreover, the system can selectively move parts and tools using two magnets of different force; while the strong magnet can move both tools and parts, the weak magnet moves only small parts.
THE COMPARISON OF STUDENT’S ABILITY BETWEEN GRADUATE OF SENIOR HIGH SCHOOL (SMU) AND ISLAMIC SENIOR HIGH SCHOOL (MA) IN USING PREPOSITION INTO SENTENCE AT FIRST GRADE AND SECOND GRADE OF KELUARGA BUNDA JAMBI MIDWIFERY ACADEMY

Traditional English grammar classifies the words into eight parts of speech, such has noun, verb , adverb, adjective, conjunction, pronoun, preposition, and interjection (Yule:2004). When someone tries to describe about preposition of place and time, they must give information clearly about anyone their mean to say. in this research, researcher interests to appoint this problem by comparison of student’s ability between graduate of Senior High School (SMU) and Islamic Senior High School (MA) in using preposition into sentence. The method had used in this research was descriptive quantitative. The population in this research are all of students of first grade and second grade of Keluarga Bunda Jambi Midwifery Academy. The sample in this research was 45 students first grade and second grade of Keluarga Bunda Jambi Midwifery Academy consists of 18 students from SMU and 27 students from MA. The result of this research show that score of the students graduate from SMU is 88 highest and 56 lowest, score of the students graduate from MA is 84 highest and 52 lowest. Based on interpretation result with having calculated to table “t” score with df N1+N2-2=43, because there is no df 43, so take df 45. Then this value consult with table of “t” in the significant rating 5% and 1%. The result of analysis data is 0,11 if calculated to the score of critical (t table) so, 2,02&gt;0,11&lt;2,69, it is mean that Ha is refused and Ho is received and it is mean that there is no significant differences between the ability of the students from graduated fo SMUand MA in using preposition into sentences.
Large Scale Short Text Analysis to Recognize Categories

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
THE USE OF BAMBOO DANCING TECHNIQUE TO IMPROVE STUDENTS’ SPEAKING ABILITY IN INTERPERSONAL CONVERSATION (An Experimental Research at the Seventh grade of SMP Negeri 16 Kota Serang)

THE USE OF BAMBOO DANCING TECHNIQUE TO IMPROVE STUDENTS’ SPEAKING ABILITY IN INTERPERSONAL CONVERSATION (An Experimental Research at the Seventh grade of SMP Negeri 16 Kota Serang) Lita Amelia, S. Pd Advisers of Writer Dr. H Abdul Muin, S.Ag, M.M This research investigates about The Use of Bamboo Dancing Technique to Improve Students’ Speaking Ability in Interpersonal Conversation. The research conducted based on the main problem: 1) How is students’ speaking abilities before using Bamboo-Dancing Technique at seventh grade of SMP Negeri 16 Kota Serang? 2) How is the effectiveness of using Bamboo-Dancing Technique to improve students’ speaking ability in interpersonal conversation at seventh grade of SMP 16 Kota Serang?. The aims of this research are: 1) To investigate students’ speaking abilities before using BambooDancing at seventh grade of SMP Negeri 16 Kota Serang. 2) To identify the effectiveness of using Bamboo-Dancing Technique to improve students’ speaking ability in interpersonal conversation at seventh grade of SMP Negeri 16 Kota Serang.The researcher used quasi experiment. To answer the question, the researcher collected the data from 48 students by divided two classes, one class as experimental class by applying bamboo dancing technique and another class as control class without applying bamboo dancing technique. The population in this research is the seventh grade students of SMP Negeri 16 Kota Serang year 2017/2018, while class VII C as experimental class and class VII D as control class. The result of this research show that the hypothesis null is rejected, it showed from the significant statistical value 5% = 1,67 and significant 1% = 2,41 and the result of 2 to = 6,3. Based on the data calculating of t-test can be conclude that bamboo dancing technique is effective in teaching speaking at VII C of SMP Negeri 16 Kota Serang. Keywords: Bamboo Dancing Technique, Speaking Ability, Interpersonal Conversation
Golden games

We consider extensive form win-lose games over a complete binary-tree of depth $n$ where players act in an alternating manner. We study arguably the simplest random structure of payoffs over such games where 0/1 payoffs in the leafs are drawn according to an i.i.d. Bernoulli distribution with probability $p$. Whenever $p$ differs from the golden ratio, asymptotically as $n\rightarrow \infty$, the winner of the game is determined. In the case where $p$ equals the golden ratio, we call such a random game a \emph{golden game}. In golden games the winner is the player that acts first with probability that is equal to the golden ratio. We suggest the notion of \emph{fragility} as a measure for fairness of a game's rules. Fragility counts how many leaves' payoffs should be flipped in order to convert the identity of the winning player. Our main result provides a recursive formula for asymptotic fragility of golden games. Surprisingly, golden games are extremely fragile. For instance, with probability $\approx 0.77$ a losing player could flip a single payoff (out of $2^n$) and become a winner. With probability $\approx 0.999$ a losing player could flip 3 payoffs and become the winner.
An Empirical Study of the Cost of DNS-over-HTTPS

DNS is a vital component for almost every networked application. Originally it was designed as an unencrypted protocol, making user security a concern. DNS-over-HTTPS (DoH) is the latest proposal to make name resolution more secure. In this paper we study the current DNS-over-HTTPS ecosystem, especially the cost of the additional security. We start by surveying the current DoH landscape by assessing standard compliance and supported features of public DoH servers. We then compare different transports for secure DNS, to highlight the improvements DoH makes over its predecessor, DNS-over-TLS (DoT). These improvements explain in part the significantly larger take-up of DoH in comparison to DoT. Finally, we quantify the overhead incurred by the additional layers of the DoH transport and their impact on web page load times. We find that these overheads only have limited impact on page load times, suggesting that it is possible to obtain the improved security of DoH with only marginal performance impact.
At same time we can't expect ...

At same time we can't expect everyone to hand roll websites. Why I dig platforms like @microdotblog work out of box but give you
A KCF-Based Tracker with Faster Scale Estimation and Effective Occlusion Detection

In visual object tracking, designing a robust and fast tracking algorithm is always a challenging task. KCF is exactly one of those trackers which have fast computational speed and well tracking accuracy. However, when the object’s scale variates, the tracking accuracy of KCF will greatly decrease due to the lack of scale estimation approach. For this reason, DSST has proposed a KCF-based robust scale estimation approach to tackle the problem of scale variation. But in order to meet the need of practical application, computational efficiency is always the highest priority of a tracking algorithm. Besides, partial occlusion often happens in an object tracking mission and significantly affect the tracking performances in the real situations. In this paper, an approach that estimate the scale variation faster is proposed based on KCF and DSST. Meanwhile, an approach which is designed for effective occlusion detection is also proposed, which improves the tracking accuracy of KCF in the situations of object occlusion. Finally, the improved tracker based on KCF and DSST has about 7% increase on tracking accuracy and perform faster in most cases. It turns out that the proposed approaches perform better on scale estimation and occlusion detection in the real situations.
Prediction for Gyros output based on EMD-SVR

To solve the problem of prediction for Gyros real-time output, improve the prediction accuracy of Gyros output, a new prediction algorithm based on Empirical Mode Decomposition (EMD) and Support Vector Regression (SVR) is put forward in this paper. Due to the non-linearity and non-stability of Gyros output, the conventional prediction methods are not accurate, so the Empirical Mode Decomposition were chosen to decompose the Gyros output to several Intrinsic Mode Functions (IMF) and a residual series. For these IMFs and residual series, use Support Vector Regression to build the prediction model. The prediction results of IMFs and residual series were merged to obtain the Gyros output. Result show that this prediction algorithm is effective compared with Support Vector Regression, which verified the precision of the method.
World Wide Web - Cloud Boundaries

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
58 Watt 18 Inch Architectural Gooseneck LED Light Fixture with Single Arm

Highly versatile 58 Watt, 18 Inch diameter gooseneck LED light fixture with single arm features a full cutoff making it dark sky friendly.
Memes de internet, asuntos de autoría

espanolEl presente trabajo revisa aspectos de los memes de internet: ?como son, quienes son los autores y quienes los comparten? Estas piezas culturales se replican entre usuarios de redes sociales de muy diversos estratos y visiones, aunque con fines determinados. Se trata de piezas comunicativas que por lo general mueven al humor. Sin embargo, son capaces de provocar inconformidad social. Incluso, son una herramienta comunicativa para nichos tan disimiles como los dibujantes de cartones politicos y los hacedores publicitarios. EnglishThis text addresses aspects of the internet memes, how they are, who the authors are and who share them. These cultural pieces are replicated among users of social networks of very diverse strata and views, although with certain purposes. These are communicative pieces that usually move to humor, and yet are able to achieve social nonconformity. They are even a communicative tool for niches as dissimilar as political cartons and advertising makers.
Human Activity Classification for Surveillance using Machine Learning and Image Processing Algorithm

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Finding the best network for laying renewable energy based solar panel roads A GPU parallel algorithm implemented on CUDA

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
How to Build Digital Library in University

Abstract---Currently there is euphoria among college librarians. The trigger for the situation is related to the widespread development of digital-based library concepts. According to Oppenheim and Smithson a digital library is an information service where all information sources are available / processed in computers and the functions of acquisition / retrieval, storage, retrieval, access and display using digital technology. The problem in this study is how to build digital library management. This study aims to design digital-based library management. The result of this research that digital library programs have been made from the initial display into digital libraries to the process of borrowing books, but the appearance of digital libraries is still simple. Keywords---Digital Library, Library Management
A Survey on Assured Data Deletion in Cloud Storage

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Survey of Clustering Methods for Large Scale Dataset

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
A Study on the Importance Level of FTA Related Factors in Supplier Selection

오늘날 기업은 보다 많은 이윤창출과 비교우위 획득을 위해 우수한 공급업체 선정에 많은 노력을 기울이고 있다. 전통적으로 낮은 공급 가격, 납기 준수, 양호한 품질 같은 요인은 공급업체 선정에서 중요한 요소로 인식되었다. 그러나 최근 FTA 협정이 활발하게 체결되고 국내&#8901;외 경영환경도 급변함에 따라 기업들이 공급업체 변경과 같은 새로운 의사결정을 할 수 있는 가능성이 확대되고 있다. 하지만 아직까지 이런 변화 추세를 고려하여 기업의 공급업체 선정 요인을 분석한 연구는 매우 부족한 실정이다. 이에 본 연구는 기업이 과거 공급업체 선정에서 중요하게 고려했던 전통적인 요인들에 FTA 관련 요인들을 추가하여 이들의 상대적 중요도를 분석하였다. 이를 위해 문헌연구와 구매 전문가 인터뷰 등을 통해 기업의 공급업체 선정 요인을 4개의 주 항목과 12개의 세부 항목 요인으로 구분하여 2단계로 계층화하였다. 이를 토대로 기업 구매 담당자 및 구매 의사 결정자 설문과 AHP 분석을 수행하여 기존 공급업체 선정 요인 속에서 FTA 관련 요인들의 상대적 위치와 중요성을 분석하고 시사점을 도출하였다. 분석 결과, FTA 관련 요인은 관세 특혜를 활용한 가격경쟁력 제고와 원산지 정보 공유를 통한 서비스 수준 제고 측면에서 새로운 공급업체 선정 요인으로 주목받는 것으로 나타났다. 이러한 결과는 경영환경 변화에 따라 기업의 공급업체 선정 요인이 다양해 지고 이들의 중요도와 우선순위에 변화가 발생할 수 있음을 보여주는 것이다. 이에 금번 연구 성과는 급변하는 교역환경에서 기업 경쟁력 강화를 위한 실질적인 의사결정 프로세스를 이해하는데 기여할 것으로 기대된다.Many companies are putting a lot of effort into selecting good suppliers to generate more profits and gain a comparative advantage. Traditionally, factors such as low supply prices and compliance with lead time were recognized as important elements in supplier selection. However, with the recent brisk signing of FTA agreements and rapid changes in the business environment at home and abroad, the possibility of companies making new decisions, such as changes in suppliers, is widening. This study analyzed the relative importance of FTA-related factors to traditional factors that companies considered important in selecting suppliers in the past. To this end, the company’s supplier selection factors were divided into four main items and 12 detailed item factors through literature research and interviews with purchasing experts, and were stratified into two levels. Based on this, the purchasing managers’ survey and AHP analysis were conducted to analyse the relative location and importance of FTA-related factors among the factors selected by existing suppliers and to derive their implications. According to the analysis, FTA-related factors are seen as factors for selecting new suppliers in terms of enhancing price competitiveness by utilizing tariff favors and raising service levels by sharing information of origin. This shows that the factors of selecting a company’s suppliers can vary depending on the change in the business environment and changes in their importance and priorities, and the results of this research are expected to contribute to understanding the practical decision-making process for strengthening the company’s competitiveness in a rapidly changing trade environment.
Secure, Efficient and Searchable File System on Distributed Clouds

Many enterprises and personals are inclining to outsource their data to public clouds, but security and privacy are two critical problems cannot be ignored. The door of cloud provider may be broken, and the data may also be dug into by providers to find valuable information. In this paper, a secure and efficient storage file (SES_FS) system is proposed to distribute files in several clouds and allows users to search the files securely and efficiently. In the proposed system, keywords were transformed into integers and secretly shared in a defined finite field, then the shares were mapped to random numbers in specified random domain in each cloud. Files were encrypted with distinct secret key and scattered within different clouds. Information about keyword/file was secretly shared among cloud providers. Legal users can search in the clouds to find correct encrypted files and reconstruct corresponding secret key. No adversary can find or detect the real file information even they can collude all the servers. Manipulation on shares by one or more clouds can be detected with high probability. The system can also detect malicious servers through introduced virtual points. One interesting property for the scheme is that new keywords can be added easily, which is difficult and usually not efficient for many searchable symmetric encryption systems. Detailed experimental result shows, with tolerable uploading delay, the scheme exhibits excellent performance on data retrieving aspect.