Reviewerly/exHarmony huggingface dataset:
Aplikasi Game Pembelajaran Operasi Hitung Untuk Anaka Sekolah Dasar Berbasis Construct 2

Currently, games are a means of entertainment that are of interest to young people to the elderly. There are many kinds of games ranging from online such as shooting to offline such as educational games. The inclusion of games in the learning process creates a pleasant atmosphere because children can control the speed of learning according to their abilities.Making Learning Operation Counting Game Applications for Elementary School Children Based on Construct 2 aims to make educational games with Construct 2 and provide an educational side.The result of making this game is a game application that is used as a learning media for arithmetic operations. This game can later help students to make it easier to learn mathematics, especially in terms of basic arithmetic operations.
Application Design Implementation Planning Preparation Overhaul Production Machinery At PT Semen Indonesia (PERSERO) Tbk

PT Semen Indonesia (Persero) Tbk has very many production machines. Then there is a need for maintenance by overhauling. In the Planning Preparation Overhaul process that is used today uses the Microsoft Excel application that causes incomplete information to be available about the calculation of the overall percentage amount and the progress of Spare Parts, Fabrication, and Man Power. Of the things PT Semen Indonesia (Persero) Tbk wants to implement a Planning Preparation Overhaul system on website-based Production Machines. In Planning Preparation systems can integrate between system users according to their individual needs, provide information about the Planning Preparation progress and automatically calculate the current progress percentage according to the input given. Based on the results of the planning preparation overhaul machine production system with the Department of ICT and Management Service Development Staff of PT Semen Indonesia (Persero) Tbk, the results can facilitate the calculation of the total percentage of input progress list preparation, and the detailed information contained in the progress list preparation, as well as recording electronic planning Preparation Overhaul history to minimize the risk of losing data in the Planning Preparation process. Keyword: Website, planning preparation, production machinery, overhauls.
Correlation between Students’ Vocabulary Mastery and Students’ Reading comprehension at the Second grade of SMP Negeri 1 Kolaka.

Vocabulary is one of essential language element which help student to comprehend the reading text. Students are able to understand what they read easily if they have amount of vocabulary. Therefore, this research was aimed to explore the correlation of student’ vocabulary mastery and reading comprehension at the second Grade of SMPN 1 Kolaka. This research used quantitative descriptive design. The design of this research was quantitative descriptive. The population of this research was the second grade students of SMPN 1 Kolaka which was consisted of eight classes. The total number of the population was 206 students. To take the sample, the researcher used purposive sampling that was class VIIIB, it was comprised of 26 students. To gather the data, the researcher used two kinds of test; vocabulary test and reading test. The data was analyzed by using the formulation of Pearson Product Moment Correlation Coefficient. The result of data analysis showed that r xy was 0.705 was higher than r­­ t was 0.404 with the degree of freedom (df=N-nr) was 24. Meanwhile, from the result of hypothesis testing was α ≠ 0 or r xy was higher than r t which meant the score of vocabulary and reading was straight comparable. So that, H 0 and H 2 was rejected and H 1 was accepted. It was indicated that there was a positive correlation between students’ vocabulary mastery and students’ reading comprehension at the second grade of SMP Negeri 1 kolaka in academic year 2017/2018. Vocabulary is one of essential language element which help student to comprehend the reading text. Students are able to understand what they read easily if they have amount of vocabulary. Therefore, this research was aimed to explore the correlation of student’ vocabulary mastery and reading comprehension at the second Grade of SMPN 1 Kolaka. This research used quantitative descriptive design. The design of this research was quantitative descriptive. The population of this research was the second grade students of SMPN 1 Kolaka which was consisted of eight classes. The total number of the population was 206 students. To take the sample, the researcher used purposive sampling that was class VIIIB, it was comprised of 26 students. To gather the data, the researcher used two kinds of test; vocabulary test and reading test. The data was analyzed by using the formulation of Pearson Product Moment Correlation Coefficient. The result of data analysis showed that r xy was 0.705 was higher than r­­ t was 0.404 with the degree of freedom (df=N-nr) was 24. Meanwhile, from the result of hypothesis testing was α ≠ 0 or r xy was higher than r t which meant the score of vocabulary and reading was straight comparable. So that, H 0 and H 2 was rejected and H 1 was accepted. It was indicated that there was a positive correlation between students’ vocabulary mastery and students’ reading comprehension at the second grade of SMP Negeri 1 kolaka in academic year 2017/2018.
LibGuides: Erie 2 School Library System: Coordinated Cooperative Collection Development Plan

The Erie 2 School Library System site. Outline of the School Library System's Cooperative Collection Development Plan and Accompanying CoSer
PEMBELAJARAN MENULIS CERITA PENDEK MENGGUNAKAN MODEL EXAMPLE NON EXAMPLE PADA SISWA KELAS IX

This research is motivated by the low ability and interest of students in writing, especially writing short stories. Writing itself is a creative process of transferring ideas or ideas into writing that is systematic and easy to understand. Factors for the occurrence of these problems can be caused by factors teachers and students who have an important role in achieving a learning goal. Therefore, researchers try to overcome these problems by growing student interest so that the ability to write short story texts can be improved. In general, the objectives in this study are to illustrate: (1) The application of the non example example model to learning to write short story text in grade IX students, and (2) The effectiveness of using the example non example model to the ability of grade IX students in writing short story text. In this research the method used is descriptive qualitative. Data collection is obtained through observation, tests and interviews. The subjects in this study were the teacher and class IX students, amounting to 21 students. Based on the results of this study indicate that (1) Students are able to follow the learning activities of short story texts well using the model example non example. (2) Based on the results of the final test the ability to write short story texts for class IX students is classified as good with the acquisition of the final average score of students is 75.04, so it can be said that the use of example non example models is effectively used in writing short story texts.
LibGuides: Current Awareness: RSS

This guide aims to get you started with a selection of current awareness services to help you stay up-to-date in your research field.
Introducing a Modular Framework for Human Tracking with Inhomogeneous Sensor Systems

Within the project Robot Companion, a framework for easy and platform-independent commissioning of robot tracking systems is being developed at the Institute of Mechanism Theory, Machine Dynamics and Robotics (IGMR). The framework includes agile methods for the localization and tracking of humans via camera, radar and laser sensors as well as customized path planning methods for the mobile unit. The basic premise of the project is to make the framework available for a wide range of application fields. For this purpose, the user will be able to easily select different sensor combinations and sub-methods and integrate them into the existing hardware. This requires in particular new methods for sensor fusion on different hierarchical levels.
Practical Exact Proofs from Lattices: New Techniques to Exploit Fully-Splitting Rings.

We propose a very fast lattice-based zero-knowledge proof system for exactly proving knowledge of a ternary solution \(\vec {s} \in \{-1,0,1\}^n\) to a linear equation \(A\vec {s}=\vec {u}\) over \(\mathbb {Z}_q\), which improves upon the protocol by Bootle, Lyubashevsky and Seiler (CRYPTO 2019) by producing proofs that are shorter by a factor of 8.
Software adaptaion in healthcare systems

The separation of concerns as a conceptual paradigm aims to manage the complexity of the software systems by dividing them into different concerns and aspects. The benefits of this paradigm such as adaptability, reusability and maintenance, have been key drivers of its adoption and usability, particularly in healthcare systems. Developing a system with adaptive, flexible and maintainable architecture requires modularity because we must be able to design a flexible system that allows us to make decisions based on context of patients. In the emerging architectures such as Cloud computing, Fog Computing, Mobile Edge Computing and Internet of Things, the fundamental characteristic of the applications is their ability to adapt or to react according to the information of the context. In this talk, I will describe briefly three adaptation approaches, such as static (Aspect-oriented Programming), composition (OSGi) and parameters (MAPE). Then, I will illustrate these approaches to support adaptability of an COPD deseases. In addition, I will give an overview of our context-aware healthcare systems.
CONTROL OF THE COMPOSITION OF GAS PHASE REACTION REAGENTS USING A LIQUID ELECTROCAPILLARY RESONATOR

The principles of nonintrusive control of the composition of gas-phase reactions in a limited volume near or inside electrocapillary liquid resonators are considered. Such resonators can be protrusions on a liquid film, liquid drops, or bubbles.
Cryptographically Enforced Dynamic Access Control

Secure cloud storage, which is an arising cloud administration, is intended to ensure the classification of reevaluated information yet in addition to give adaptable information admittance to cloud clients whose information is out of actual control. Ciphertext-Policy Attribute-Based Encryption (CP-ABE) is viewed as one of the most encouraging methods that might be utilized to make sure about the assurance of the administration.
IMPROVING ENGLISH MEDIATED BY LOCAL WISDOM AND TECHNOLOGY IN GLOBAL ERA

Most Indonesian learners understand if they must improve their abilities in English skills. They know that big effort they make will use to survive in this era. They have to master both skills and strategies to show then compete with others to position themselves. Mastering International language collaborated with technology has significant role in this part in reaching this aims. This era serves many spots in realizing this goals. But in other context they have to understand that they are civilized people, making competition in global era without leaving good norm and culture. In this case, Indonesia education system has prioritized using local wisdom collaborated with ICT to be the core of human resource development to enter a global living. This strategy is important for Indonesia to face the golden age in 2045 indicated by having a golden generation of competitive and high quality human resources. For this purpose, learning English as international language can be a bridge to get and spread sources in competition combined with mastering high technology. Unfortunately, because it serves many modern devices and styles, learning activities fail to lead students’ understanding on their living philosophy. Consequently, the students seem insensitive to their natural, social, and local environments by means of wisdom even forgetting who they are. Although they look good in using technology devices and English, they seem empty in understanding their living, future orientation, and goals. Based on those facts this paper presents how important local wisdom collaborated technology as media (ICT) should be referred as learning resources in forming good skills and attitudes to English learners.
A New Strategy of Harmony Improvisation for HS Optimization

Purpose The purpose of this paper is to improve the performance of HS meta-heuristic optimization algorithm. Methods Based on the two problems consciousness against the conventional harmony improvisation process, a new pitch adjustment referring to the best harmony is introduced and developed. For the test, the proposed strategy is applied to the optimization test functions. Results The propose method is applied to several simple and complex optimization test function. The results shows that the proposed strategy surpasses the performance of conventional method. Conclusion The new strategy works very well and algorithm parameters tunning is needed to improve further the performance of the new method.
The use of L1 in English as a foreign language classroom at SMA Taruna Jaya Sampit

One of the most favorite approaches in teaching and learning a foreign language is the use of L1 in the classroom. Debates have going for ages about the effectiveness of this approach. This approach could help the teacher to explain certain subjects to the students moreover if the students lack English comprehension. On the other hand, this approach could demotivate the students and only can be used at a certain level of comprehension of English. The purpose of this study is to find out: How frequent teachers and students use L1 in English Foreign Language Classroom, Perspective of the teacher on the use of L1 in EFL Classroom and Perspective of students on the use of L1 in EFL Classroom. The research type of this study was qualitative research. Data were taken by questionnaire, interview, and observation. The subject of this study is the first-class SMA Taruna Jaya Students and English teacher. The questionnaire was given to the teacher and students of the first class of SMA Taruna Jaya and the data of the interview were taken from the teacher and 5 students who chose randomly. The result showed that the teacher and students used L1 most of the time and the perspective of the teacher and students toward the use of L1 is mostly positive.
MEDIA PEMBELAJARAN BERBASIS FLASH PADA MATA PELAJARAN FIQIH KELAS 5 DI MI SALAFIYAH DESA PRAMBONTERGAYANG

Madrasah Ibtidaiyah Salafiyah, Pambontergayang Village, shows that most students have little interest in fiqh subjects. Students consider Fiqh as identical with Madrasa and not like other general subjects, such as Mathematics, English, Natural Sciences, Social Sciences and so on. Multimedia media as a more effective learning media, one of them is Flash. Therefore, to complete the learning and learning components in schools, teachers should utilize media or tools that are able to stimulate learning effectively and efficiently. By using the Borg & Gall method which outlines the four main steps of implementing research and development strategies, namely 1) Analyzing the needs of the products produced. 2) Planning (planning). 3) Development of product draft (develop preliminary form of product). 4) Preliminary field testing. So that it can improve the learning process so with an interesting learning media can foster enthusiasm, interest, and activate students in the process of teaching activities in the classroom, especially in fiqh subjects.
Semi-global Alignment of Range Videos

Temporal alignment of videos is an important requirement of tasks such as video comparison, slicing, synchronization, and classification. Most of the approaches proposed to date for video alignment treat videos equivalent and leverage dynamic programming algorithms whose parameters are manually tuned. In this paper, we develop a semi-global alignment algorithm for aligning depth videos and use human movement tracking as an application. The key idea is to integrate the temporal constraints to select a template for each input depth frame such that the overall similarity of aligned templates and all input frames are maximized. By registering resampled videos of a single person, our method improves the accuracy by more than 12.4%. This accuracy improvement is also confirmed by our experiments of registering videos of different persons. It is hence evident that our proposed method finds the pattern of movement of people and correctly aligns the frames between the input video and template video.
보건의료 빅데이터의 활용 - 개인정보보호를 중심으로 -

Discussions are active to create added value by incorporating big data in health care according to the recent development of big data technology. However it is necessary to consider measures which are required to protect personal information and promote big data concerning health. In this study, firstly, I focus on the main concepts which are related to big data concerning health. And then I review the related laws and rulings how they work in Personal Information Protection Act and Health and Medical Service Act. The court ruled that information processing was possible without the consent of a data subject when data controller and society's benefit are bigger than data subject‘s benefit. But it is practically impossible for an data subject to determine the legal interest in a comparative form whenever it intends to process the public information. Therefore, I focus on the social census which could be processed to a certain extent without a consent. It should be preceded. I also refer to the discussion on creating citizen participatory health care big data in the EU. I insist that the legal basis for processing information such as the segmentation of data concerning health and the scope of information that can be processed without consent. I also propose that legal security measures are required to protect the rights of data subject and prevent information abusing.
Searching all sources of white

Searching All Sources of White presents the error as the landscape. It is an interactive video installation examining the idea of the limitation of seeing. The projector projects a blue screen while a white spot falls in the middle. Blue is often seen in a digital display namely default screen, calibration screen, sleep mode, and 'Blue Screen of Death'. In an exhibition setting, this work gives the impression of a failure in the display when the projector displays a blue, standbymode. Standby is a component mode in which a system is kept readily available in case an unexpected event occurs. A system may be on standby in case of failure, shortage, or other similar events.
Low Power Consumption on Cloud Data Centers Using HSA Algorithm

The rapid development of knowledge and communication has created a new processing style called cloud computing. One of the key issues facing cloud infrastructure providers is minimizing costs and maximizing profitability. Power management in cloud centres is very important to achieve this. Energy consumption can be reduced by releasing inactive nodes or by reducing the migration of virtual machines. The second is one of the challenges of choosing the virtual machine deployment method to migrate to the right node. This article proposes an approach to reduce electricity consumption in cloud centres. This approach adapts Harmony's search algorithm to move virtual machines. Positioning is done by sorting nodes and virtual machines according to their priorities in descending order. Priority is calculated based on the workload. The proposed procedure is envisaged. The evaluation results show less virtual machine migration, greater efficiency and lower energy consumption.
Bootstrap Methods and Reproducibility Probability

Bootstrap method is one of the resampling methods, it is a powerful and computer-based method. We will use two different bootstrap methods, Efron’s bootstrap and smoothed Efron’s bootstrap. They are resampling methods but in different manner and will be explained later in this paper. The reproducibility probability is the important topic will be discussed here and will be used to compare the two bootstrap methods. It is reflecting the stability of the results of hypothesis tests, it is the probability of obtaining the same decision when repeated hypothesis test.
Video Summarization Using Feature Vector Clustering

With ever-growing utilization of online and offline videos and increasing video content, Video Summarization serves as the best aid for video browsing. It involves domain explicit semantic comprehension of a video and understanding of user expectations. Generally, video summarization systems include extracting video features, analyzing the visual variations and selecting video frames. Over the years, various methodologies have been developed for the same. Different supervised and unsupervised algorithms have been established and these models have been trained on various factors or various rewards. The challenges these methods face stand as a motivation for the approach this paper discusses. Like in many cases, summary frames may be repeated if some scene or concept appears more than once. This paper presents a novel approach based on clustering of video frames based on their feature vectors. The clustering takes into consideration the semantic factor of video frames. Each concept cluster gives a representative frame which then forms the summary set, here concept cluster refers to the independent entity present in a video which can be easily distinguished by another concept or entity. This entity can be a scene of a mountain or different persons. It also aims to increase system performance by removing the redundancy. The system is developed using a CNN for feature extraction and a clustering algorithm that takes into consideration the similarity factor between these vectors. The model is evaluated on the measures Precision and Recall and tested on the VSUMM dataset. The results outperform some of the established methodologies and serve the summarization purpose.
Ultimate limits to quantum process discrimination

We consider the problem of discriminating finite-dimensional quantum processes, also called quantum supermaps, that can consist of multiple time steps. Obtaining the ultimate performance for discriminating quantum processes is of fundamental importance, but is challenging mainly due to the necessity of considering all discrimination strategies allowed by quantum mechanics, including entanglement-assisted strategies and adaptive strategies. In the case in which the processes to be discriminated have internal memories, the ultimate performance would generally be more difficult to analyze. In this paper, we present a simple upper bound on the ultimate success probability for discriminating arbitrary quantum processes. In the special case of multi-shot channel discrimination, it can be shown that the ultimate success probability increases by at most a constant factor determined by the given channels if the number of channel evaluations increases by one. We also present a lower bound based on Bayesian updating, which has a low computational cost. Our numerical experiments demonstrate that the proposed bounds are reasonably tight. The proposed bounds do not explicitly depend on any quantum phenomena, and can be readily extended to a general operational probabilistic theory.