Reviewerly/exHarmony huggingface dataset:
A Critical Survey of Secure GDS (Group Data Sharing) in Big Data Housed in Cloud Computing

Big data has been a rising a growing interest in both scientific and industrial fields for its potential value. However, before employing big data technology into massive applications, a basic but also principle topic should be investigated: security and privacy. The computer system follows the input, processing and output model. Input is done through devices and then processed through the CPU. Thus, the results of the information are produced. In the relationship between the data and cloud computing, the data is stored on external and remote storage units. On the other hand, in the computer system, the data is stored internally or locally. Hence, Cloud Computing provides the flexibility to the use the computing resources and storage capacity according to the user requirement. There are several benefits of cloud; one of them that are drawing attention nowadays is group data sharing, in which the data is shared within the group, this feature is highly praised in cloud. Despite of being so popular and flexible many organization are not keen on adapting, it is because of security. Security is said to be the primary concern while sharing the data. It is well known fact that research activity requires deep study of previous as well as existing approach; therefore, considering these factors in mind in this paper we have performed extensive survey of existing system based on various classifications. Several scheme such as PRE and others have drawn a lot of attention in providing security while sharing the data in-group. Here we have observed that PRE has captured a lot of attention for securing the data sharing in CC (Cloud Computing).Hence we examined the several security model and compared based on the various metrics, moreover extension as well as potential application of the PRE has been extensively discussed. However, still there are various issue, which requires further investigation.
Building a conceptual model for pedagogy of partnership in the New Ukrainian School

The professionalism and competence of quality teaching practice in higher education institutions is becoming more significant since they try to respond to an increasingly diverse and perceptive student commu-nity’s issues concerning standards and quality in the global context. In the past several decades there are growing appeals for innovative re-search-based pedagogy that designs relationship-centred education as well as provides cutting edge professional development of the 21st cen-tury educators. The aim of our research is to further extend current knowledge of “student engagement” as a core aim of the NUS paradigm for the future of Ukraine’s higher education. The research has provided evidence for embedded sustainable partnership in the NUS that will sus-tain a strong sense of community among teachers and students. The key to achieving the development of such partnership learning communities are traced in NUS formula and its nine key elements are seen to encour-age their development. In order to identify and build a conceptual model for PoP in the NUS, the author of the given research attempted to map the territory of the primary school. The paper has led us to conclude the PoP, in our opinion, provides an opportunity to provide conditions for the development of the student’s creative personality, the implementa-tion of the tasks of the concept of the NUS, the creation of positive moti-vation of students for educational and cognitive activities, the need for self-knowledge, self-realization and self-improvement, the introduction of a modern approach to constructing a lesson, creating optimal condi-tions for developing the student’s creative abilities at lessons, developing social and civic competencies of the student.
A study on childcare teacher’s job conditions and their job satisfactions in the 40-hour-per week work system

본 연구는 주40시간근무제 실행 이후 보육교사의 근무실태를 기관특성별로 조사해 보고 주40시간근무제 실시 여부에 따른 보육교사의 직무만족도를 분석해 보았다. 이를 위해 J도에 있는 보육교사 265명을 대상으로 설문조사를 실시하였으며 연구결과를 바탕으로 보육교사의 근무환경개선 및 직무만족도 개선방안을 제시하고자 하였다. 보육교사의 근무실태는 주40시간근무제 실시 여부, 일평균 근무시간, 일 8시간 이상 근무횟수, 시간 외 근무 시 하는 업무, 보육 외 업무 처리 시간, 초과 근무에 따른 수당지급 방법, 연간 휴가 이용 실태, 교직원 결원 시 대체보육방법과 주40시간근무제가 보육현장에 정착되기 위해 필요한 사항을 조사하였다. 보육교사의 근무실태에 대해 기관별로 차이를 알아본 결과 주40시간근무제 실시 여부, 일평균 근무시간, 일 8시간 이상 근무 횟수, 보육 외 업무 처리시간, 초과근무 시 시간외 수당 지급방법에서 기관별 차이를 보였다. 주40시간근무제 실행에 따른 직무만족도에 대하여 알아본 결과 주40시간근무제 실시 집단의 직무만족도가 더 높게 나타났으며, 미실시 집단과의 직무만족도 차이를 알아본 결과 유의미한 차이가 있는 것으로 나타났다. 직무만족도의 하위 요인에 있어 원장의 운영방식 및 태도, 보육환경과 복지, 보육업무에서 실시집단과 미실시 집단의 차이가 나타났다. 이러한 결과는 주40시간근무제가 보육현장에 정착되기 위하여 근무실태 개선사항에 대한 정보를 제공하고, 주40시간근무제가 보육교사의 직무만족도 증진에 기여하여 보육현장의 안정화에 기여할 수 있음을 시사한다.The purposes of this study were to investigate childcare teachers’ working conditions of and their job satisfactions with the 40-hour-per week work system. Their working conditions and job satisfactions were examined according to types of the centers. To this end, 265 childcare teachers in J-Do participated in a questionnaire survey, which included questions on the average working hours per day, whether a 40-hour workweek system was implemented, the number of days in which one worked overtime, types of jobs outside working hours, payment methods based on overtime work, annual leave, and alternative methods of covering a teacher’s absence. The results showed that childcare teachers’ job satisfactions in the 40-hour working system were significantly higher than those of the group without it. There were also significant group differences in terms of the sub-factors of job satisfactions which include directors’ management skills and attitudes, job conditions and teacher welfare, and the childcare tasks. The results provide important information in order to improve childcare centers’ working conditions by supporting the 40-hour-per week work system. Additionally, they suggests that the implementation of the 40-hour-per week work system can contribute to the improvement of childcare teachers’ job satisfactions and the stabilization of childcare work enviromnents.
PENGEMBANGAN BUKU TEKS BAHASA INDONESIA UNTUK PENUTUR ASING TINGKAT PEMULA BERBASIS KEARIFAN LOKAL WISATA MALANG

The needs of BIPA learners learn about Indonesian language and wealth, one of which is through Indonesian local wisdom. The local wisdom of tourism is an attraction for foreign learners to study in Indonesia. BIPA learning must be supported by the BIPA textbook, while the BIPA textbook from the Center for Strategic Development and Linguistic Diplomacy (PPSDK) is made in general, not specific to the background of the learning objectives. For this reason, the purpose of this research is to develop BIPA textbooks based on local wisdom of tourism, especially Malang City on the aspects of systematic content, language, and systematic presentation. This type of research is development with a 4D model. The research subjects were beginner-level BIPA students at Universitas Brawijaya. The results showed that BIPA textbooks based on Malang's local tourism wisdom were decent disseminated because they met the feasibility of the aspects of the feasibility of content, language, and systematic presentation with a percentage of the feasibility of 63% to 94%.
High-NA coherent imager module for synthetic aperture interferometry

Optical areal profilometry of large precision-engineered surfaces require high-resolution measurements over large fields of view. Synthetic Aperture Interferometry (SAI) offers an alternative to the conventional approach of stitching small fields of view (FOV) obtained with Coherent Scanning Interferometry (CSI) using high-NA objectives. In SAI, lowresolution digital holograms are recorded for different illumination and observation directions and they are added coherently to produce a high-resolution reconstruction over a large FOV. This paper describes the design, fabrication and characterization of a large FOV, compact and low-cost coherent imager (CI) as a building block of a coherent sensor array for a SAI system. The CI consists of a CMOS photodetector array with 1.12 µm pixel pitch, a square entrance pupil and a highly divergent reference beam that emerges from a pinhole milled with a focused ion beam on the cylindrical cladding at the tip of an optical fibre. In order to accurately reconstruct the digital holograms, the wavefront of the reference beam is estimated by localizing the reference source relative to the photodetector array. This is done using an optimization approach that simultaneously reconstructs plane waves that reach the aperture from 121 different illumination directions and guarantees a phase root-mean-squared (RMS) error of less than a fifth of the wavelength across the CI entrance pupil at a boundary of the FOV. The CI performance is demonstrated with a holographic reconstruction of a 0.110 m wide object placed at a distance of 0.085 m, i.e. a FOV = ±0.57 rad, the highest reported to date with a holographic camera.
The Debate over the Tenth Revision of South Korea’s Constitution and International Law

While the momentum has built up over the past years in South Korea for the revision of its national constitution, which was last amended in 1987 to effect democratic transition, there has been remarkably little discussion with respect to constitutional provisions concerning international law and international relations. Constitutional articles that better reflect the significance of international law are necessary in light of constructive international relations, the universal nature of international law and reinforcement of democracy and national interest. While the three factors may pose contradictions, they can also balance and augment each other. With this in mind, the paper considers specific proposals for constitutional revision in the field of the preamble, provisions relating to treaties and customary international, and provisions relating to international human rights law, international criminal law and international humanitarian law.
Development and the effects of a floor play program to improve young children's creativity

본 연구는 목적은 유아의 창의성 증진을 위해 전래동화의 내용을 활용하여 바닥놀이를 새롭게 만들어 나가는 프로그램을 개발하고, 이를 현장에 적용하여 유아의 창의성 증진에 효과가 있는지 검증하는데 있다. 이를 위하여 전통놀이와 창의성에 관련 국내·외 선행연구와 간행물 및 프로그램 관련 선행연구를 고찰하여 프로그램 개발의 이론적 준거를 도출하였고, 현장의 유아교사를 대상으로 바닥놀이 프로그램에 대한 인식 및 요구 정도를 알아보기 위해 설문조사를 실시하였다. 프로그램의 1차 예비시안의 적합성과 적용 가능성을 살펴보기 위하여 연구자 평가, 프로그램 개발에 참여한 교사의 면담자료 뿐 아니라 전문가 집단의 평가를 실시하였다. 이를 바탕으로 1차 예비시안을 수정· 보완하고 2차 예비시안을 작성한 다음 전문가와의 협의과정을 거쳐 유아의 창의성 증진을 위한 바닥놀이 프로그램의 최종프로그램을 확정하였다. 개발된 프로그램은 J시에 소재한 K유치원 만 5세 27명을 대상으로 28회기에 걸쳐 적용하였으며, 본 연구에서 개발된 유아의 창의성 증진을 위한 바닥놀이 프로그램은 유아의 창의성 증진에 효과적임을 확인하였다.The study aims to develop a program to create a new floor play by using stories of traditional fairy tales, apply it to the field, and verify whether it is effective in promoting young children’s creativity. To this end, the theoretical standards of program development were derived by exploring domestic and foreign prior research related to traditional play and creativity, and a questionnaire survey was conducted to find out early childhood teachers’ level of awareness and demands for the floor play program. In order to examine the suitability and applicability of the first preliminary proposal of the program, researcher’s evaluation, an evaluation of interview data of teachers participating in the program development, and expert group’s assessment were conducted. After revising and supplementing the first preliminary draft, the second preliminary draft was prepared and based on experts’ consultation the final program of the floor play to improve the creativity of children was confirmed. The developed program was applied to 27 5-year-old children attending K kindergarten in J city over 28 sessions. It was confirmed that the floor play program developed in this study was effective in improving creativity of young children.
Application of ISO 25000 for Comparative Analysis of Cross-Platform Mobile Application Development Tools

It is reasonable to think that the mobile app developer community prefers the use of native platforms when it claims to get better performance relative to runtime in its products. However, there is a choice for cross-platform development. This document provides a comparative analysis of the features provided by the different tools supported by Apache Cordova for the development of mobile applications with the use of ISO 25000. The objective of this research work is to identify the most convenient environment for the development of contextsensitive mobile applications, starting from the generation of the same mobile application for four tools: Visual Studio, Ionic, Cocoon and Evo, using different conditions for their execution and analyzing comparison parameters that show any difficulty in execution, in this way the developer can decide better when starting a project for the creation of a multiplatform mobile application.
Time-Domain Data Fusion Using Weighted Evidence and Dempster–Shafer Combination Rule: Application in Object Classification

To apply data fusion in time-domain based on Dempster–Shafer (DS) combination rule, an 8-step algorithm with novel entropy function is proposed. The 8-step algorithm is applied to time-domain to achieve the sequential combination of time-domain data. Simulation results showed that this method is successful in capturing the changes (dynamic behavior) in time-domain object classification. This method also showed better anti-disturbing ability and transition property compared to other methods available in the literature. As an example, a convolution neural network (CNN) is trained to classify three different types of weeds. Precision and recall from confusion matrix of the CNN are used to update basic probability assignment (BPA) which captures the classification uncertainty. Real data of classified weeds from a single sensor is used test time-domain data fusion. The proposed method is successful in filtering noise (reduce sudden changes—smoother curves) and fusing conflicting information from the video feed. Performance of the algorithm can be adjusted between robustness and fast-response using a tuning parameter which is number of time-steps( t s ).
Autonomous Mission Planning and Scheduling Strategy for Data Transmission of Deep-Space Missions

Regarding to the deep-space missions which are faraway from the Earth, the conventional command-dependent mission operation and control are challenged due to the long delay of the uplink. Under this circumstances, autonomous planning and scheduling attracts more and more attention. As a critical subsystem of a spacecraft, data transmission system is a key node of autonomous planning and scheduling. This paper discusses the strategy of autonomous mission planning and scheduling for deep-space data transmission tasks. First, from the system-level analysis, four planning requests are proposed, which covered the problems of link establishment, antenna pointing, data rate and storage. Then, planning strategy models as well as the mathematical models are built-up for each request. The strategy model clarifies the planning elements which are “plan period”, “constraints” and “activities”. The discussed models are not separated, the relations and connections among the four models are illustrated to form a integrated planning logic.
End to End Dynamic Round Robin (E-EDRR) Scheduling Algorithm Utilizing Shortest Job First Analysis

The End to End Dynamic Round Robin (E-EDRR) Scheduling Algorithm Utilizing Shortest Job First Analysis functions as a method of queuing and allocating time to tasks that the CPU will process. It is an improved Round Robin that uses Shortest Job First to compare tasks and end to end method to execute tasks. It aims to reduce these three metrics: (1) the time it takes to complete tasks, (2) the time it takes for the ready-for-processing tasks to be executed, and (3) the number of times the CPU switches between tasks. To verify these aims, test cases were conducted that showed the comparative results between E-EDRR and the original algorithms, (Round Robin and Shortest Job First). In the findings, it satisfied the expectations by getting lower scores than both of the original algorithms from all the metrics in all test cases except in one where the Round Robin's variables favor the conditions of the case. It was concluded that E-EDRR has achieved its goal and proved its theoretical acquisitions.
8 Steps to Protect against Rising Third Party Cyber Risks

Third parties are often your weakest link making you vulnerable to data breaches.So, it’s becoming very clear that you need strong processes in place to protect your organization from third party cyber risk
STEP: Sequence-to-Sequence Transformer Pre-training for Document Summarization

Abstractive summarization aims to rewrite a long document to its shorter form, which is usually modeled as a sequence-to-sequence (Seq2Seq) learning problem. Seq2Seq Transformers are powerful models for this problem. Unfortunately, training large Seq2Seq Transformers on limited supervised summarization data is challenging. We, therefore, propose STEP (as shorthand for Sequence-to-Sequence Transformer Pre-training), which can be trained on large scale unlabeled documents. Specifically, STEP is pre-trained using three different tasks, namely sentence reordering, next sentence generation, and masked document generation. Experiments on two summarization datasets show that all three tasks can improve performance upon a heavily tuned large Seq2Seq Transformer which already includes a strong pre-trained encoder by a large margin. By using our best task to pre-train STEP, we outperform the best published abstractive model on CNN/DailyMail by 0.8 ROUGE-2 and New York Times by 2.4 ROUGE-2.
Impact of Employee Engagement on Organisational Effectiveness

Employee engagement has emerged as a popular organizational concept in recent years. It is the level of commitment and involvement of an employee towards the organization and its values. An employee involved is aware of the business context and works with colleagues to improve performance within the work for the benefit of the organization. Employee engagement develops a positive attitude among employees towards the organization. In this context the present paper examines the employee engagement impact on organisational effectiveness.
‘Smartfan’ – An energy saving innovation for workplace

Circular 10/2016 issued by UiTM Vice-Chancellor’s office comprises a clear guideline for 2017 Strategic Budget Planning. The guidelines can help the Head of PTJ’s to plan and take necessary cost effective measures to reduce on utility expenditure especially to counter the rising monthly electricity bills related to the use of air conditioners on campuses. Looking at the figures drawn from the energy management office in UiTM Negeri Sembilan Branch, UiTM Kuala Pilah campus has spent an average of RM153, 028.88 monthly in 2016. As of August 2016, the cost of electricity consumption in UiTM Kuala Pilah has reached RM1,224,231.03. This amount has surpassed the overall approved allocation of RM 800,000.00 for 2016 electricity bill. In order to reduce spending and encourage saving, as well as responding to the ‘Energy Savings Campaign’ held at the campus level, various efforts have been taken at the departmental levels. One of the innovative products that came about from the campaign is the ‘Smartfan’ project pioneered by the Physics and Materials Science Unit. The main objective of this project is the production of a “smartfan” or a mini air conditioner which is a simple, cost-effective and an energy saving device. In addition, products and ideas from the campaign can be piloted and taken to innovative, inventions and design contests at national and international levels.
Optimization the Combined Intake of Sugar-Salt-Fat Using Genetich Algorithm

Salt sugar and fat intake in the human body in daily food patterns. To avoid non-communicable diseases, it is necessary to optimize food intake levels. Productive age, in this case between 15-55 years have uncontrolled eating patterns to choose fast food. If this is not monitored, it will cause various diseases. The importance of evolutionary algorithms for solving complex problems that are difficult to solve analytically can use mathematical models. The purpose of this study is to determine the composition of the ideal intake for productive generations with a minimum cost that must meet the minimum threshold for each nutritional component. Based on the mathematical model built, an analysis is carried out to find the optimal solution. Optimization is an effort or activity to get the best results with the given requirements. There are 5 main components in the Genetic Algorithm, namely Fitness, Value, Selection, Crossover, and Mutation. The results showed optimization of the intake of selected chromosomes as the best results, obtained on chromosome offSpring: 10, Fitness value: 12737.34.
Comparison of solar radiation models reveals key parameters for solar energy harvesting

To optimize energy assessments for planning solar power plants, it is important to evaluate how well different datasets perform.
A Model for Recommending Actions during the Collaborative Design of Visual Analytics Flows

Visual Analytics (VA) is a process to facilitate the uncovering of knowledge from large and complex datasets to enable users to make informed decisions. However, the design of VA tools is frequently performed by multidisciplinary teams that can be physically in the same place or distributed across different locations. Therefore, there is an intrinsic collaboration need between team members and also of proposing methods to support these teams to work collaboratively during the design and implementation of VA systems. Although some proposals have made on the use of visual data flows and recommender systems, its combination with a Multi-Device Environment can benefit the discussion and exchange of knowledge during design and programming. Therefore, this article presents the design of an architecture that combines a Multi-Device Environment (MDE) with visual data flows and recommender systems for the design of VA tools in a collaborative way. The intention is to support designers and programmers during the design of visual data flows through the sharing and analysis of ideas in a collaborative environment supported by a recommender system that aids decision making during the design of flows.
Analysis of Physical Education Teaching Evaluation System

In order to realize the accurate evaluation of physical education teaching quality, a big data analysis model of physical education teaching quality evaluation is proposed, and the system analysis the evaluation of physical education teaching .Big data classification and identification of physical education quality are carried out by using K-means clustering method. According to the results of statistical feature clustering of physical education quality, the input effectiveness of physical education hardware facilities is evaluated. Establish the quantitative evaluation model of financial expenditure and PE teaching quality evaluation project performance, adopt F statistic quantity analysis method to adjust the structure of physical education teaching hardware input and teacher force input. According to the statistical analysis results of physical education teaching quality evaluation, the self-adaptive evaluation of physical education teaching quality evaluation is carried out, and the optimization of physical education teaching quality evaluation is realized by combining the big data analysis method.