Reviewerly/exHarmony huggingface dataset:
Obtain Dark Knowledge via Extended Knowledge Distillation

Training a smaller student model on portable devices such as smart phones to mimic a complex and heavy teacher model through knowledge distillation has received extensive attention. Massive studies have been done on the application of knowledge distillation on various tasks as well as improvement of supervised information while training student model. However, few studies focus on the distillation of "dark knowledge" can be found in teacher model but hard to be expressed directly, which is very important because the training data used to train the teacher model are not always visible to the student model. We extended the method of knowledge distillation in this paper, not only taking the difference of logits between the teacher model and the student model as part of loss function as the basic knowledge distillation method did, but also paying attention to the interior of both models. We divided both teacher model and student model into several segments and made the outputs of these segments as close as possible to form another part of loss function, and this method was referred to as "Extended-KD" (Extended Knowledge Distillation). In our experiment, we used complete CIFAR-10 dataset to train student model as baseline, and then we tried to drop all examples of some labels to train student model through Extended-KD. Our experiment shows that Extended-KD method performs better than the basic knowledge distillation method; and knowledge distillation with incomplete datasets can also enable student model to predict the target labels it has never seen. Therefore, Extended-KD method can obtain dark knowledge properly.
Core Architecture and Design Issues of Collaborative Tagging Applications

Objectives: Collaborative social tagging applications like Flickr, Del.icio.us, Pinterest, and Technorati have gained popularity among people in a very short period. The primary reason is the sharing and provision of metadata in the form of tags taking advantage of users’ own vocabulary. There are two major benefits of user assigned tags, firstly, it enhances the understandability of the resources and secondly, it is used for search and retrieval. The study focuses on the analysis of aspects such as design decisions, candidate solutions, their implications on different important aspects of collaborative system, and available relevant technologies. Method/statistical analysis: This study gives review of the architectural and design aspects of collaborative tagging systems. Findings: The right choice of design decisions and technologies will greatly influence the performance of the systems and will be a step towards a well-built folksonomy system. Application/ improvement: Our study will be beneficial for researchers, designers, and developers of collaborative tagging applications.Keywords: Collaborative Tagging Application, Collaborative Application Design, Architecture, Folksonomy, Social Networks
A study of “Micro STEM” Physics Classroom Teaching

This paper explores the "Micro STEM" physics classroom teaching from the two aspects of pre-class design ideas and teaching links, and conducts an investigation on the teaching effect of students after class.The study finds that "Micro STEM" classroom enables students to understand and use the target knowledge better than traditional classroom, and students'interest in learning and classroom participation are higher.It is helpful to cultivate students'ability to discover and solve problems and sense of teamwork, and to improve students' core scientific literacy.
Dichotomic Prediction of an Event using Non Deterministic Finite Automata

Prophecy about an imminent event is called prediction. This prediction can be used to equip with preparedness to face an event and come out successful by making right decisions at right time. To automate this process many machine learning algorithms which can predict with varying degrees with each having its own uniqueness. This paper introduces one such novel technique for prediction. This new technique encompasses the knowledge of the domain experts into single formulae and translates that formula into a state transition diagram which will predict the outcome of an event when given with new test parameters of an event. The prediction of an event from this algorithm will be dichotomy in nature and the parameters can also be weighted and also to detect the significance of the model canonical correlation technique is implemented.
Variable Structure Rough Neural Network Control for a Class of Non-Linear Systems

In this paper, a novel rough neural network control system based on the variable structure control developed for a class of SISO canonical nonlinear systems with taking the presence of bounded disturbance into account is presented. We assume that the nonlinear functions of the system are completely unknown. The rough neural network presented here is used to approximate the unknown nonlinear functions to a desired appropriate approximation. A fuzzy soft switching structure is developed to decide the amount of efforts taken by neural network and variable structure control systems based upon the real-time error characteristics.  A proper Lyapunov function is defined and used to deduce adaptive laws for tunable parameters of neural network and to achieve the closed loop stability of overall system. The rough family of neural networks have a reputation of better functionality at the presence of noise and disturbance, which comes from their interval characteristic of their parameters. In this study, we utilize this property to achieve better performance. To demonstrate the effect of proposed control structure, it is applied upon three systems (one exemplary system, a dynamical and a chaotic) and the simulated results show the efficiency of this hybrid variable structure control scheme.
High-Speed Physical Key Distribution Based on Chaos Synchronization

Physical key distribution is of vital importance to secure communication. We propose and experimentally demonstrate a high-speed physical key distribution scheme using chaos synchronization of multimode semiconductor lasers.
Practical Accomplishment Of Smart Binding Industrial System Using Iot Platform

Supervisory control and also information purchase (SCADA) systems, become part of commercial control system (ICS), have actually been playing vital duties in real-time commercial automation as well as controls. Via the development of 3rd generation, or networks based system, SCADA systems are linked to virtually kinds of networks such as wired, cordless, as well as mobile as well as satellite interaction, however safety and security is still a huge difficulty for SCADA system while interacting within. Web of points (IoT) is a common system, a brand-new breakthrough improvement, for reliable SCADA system, where billions of network tools, with wise picking up abilities, are networked online gain access to. Implementation of wise IoT system, SCADA system will substantially enhance system effectiveness, scalability, and also lower expense. Protection is still a significant concern for both-, as they were originally developed with no concern as well as demands of safety. This research study designed IoT-SCADA system as well as released a safety and security system, using of cryptography based formula, which supplied a protected transmission network while each time interaction happened, in between the area tools in the SCADA system.
Improve the performance of neural network training with accurate information

DeepMind introduced a general reinforcement learning algorithm called AlphaZero to learn through self-play without any human knowledge. It got a superhuman success not only in Go but also in Chess and Shogi. Nevertheless, AlphaZero needs huge computational resources to train a high quality neural network. Most institutions have no such huge computational resources or cannot invest an enormous number of resources to support a research project. Therefore, this paper proposes to embed accurate information into the training phase for improving the performance of the neural network under limited resources. In competition with Zeta-180, the win rate of FD-60 far surpasses all other modifications. The results of experiments indicate that embedding accurate information into the training-phase can effectively improve the performance of the neural network under limited resources.
Investigation on the Relationship Between Business Performance and Business Satisfaction: Company Example

This research is designed to examine the relationship between job performance, job satisfaction and intent to leave work. The research consists of a research department in order to be able to reveal the relation between conceptual sections and concepts formed as a result of the examination and evaluation of the domestic and foreign sources in the literature.In the conceptual section of the study has been completed by exploring the concepts of work performance, job satisfaction and intention to leave the work in the literature, published articles, books and magazines.The concepts such as the collection of methods and data used, sample size of the universe were included in the study. A descriptive and relational screening model was chosen to test whether the performance of the staff, the job satisfaction, and the intention to leave the work as a model of the study.In the study, the results of the questionnaire method were analyzed and the findings were presented in order to express the effects of job performance, job satisfaction and job separation intention.As a result of the research findings obtained, evaluations were made and various proposals were made and the study was concluded.nn
Consumption experience on Tmall

This article contributes to the methodology literature of experience design by analysing banner ads on Tmall with a synthesis of social semiotics, multimodal analysis, and interactivity which guides our analysis of consumer-oriented advertising in e-commerce. Departing from Tmall’s annual Double 11 Carnival, our analysis shows that the banner ads have been incorporated into a gamification design to encourage consumers to spend more and buy things they may not need even after the event has been completed. Our approach of analysing the ads on both the syntagmatic and paradigmatic dimensions is explicitly multimodal, taking the linguistic, visual and interactive resources (the tri-fold convergence) into consideration to study new phenomena in an e-selling environment. The approach of this study could be helpful to scholars and practitioners in the field of experience design, where multimodality and textual analysis of visual information is of great importance.
Pengaruh Sistem Informasi Akuntansi Retribusi Boarding Pass Pelabuhan Terhadap Sistem Pengendalian Internal

Accounting information systems are needed in supporting the effectiveness of internal control. The purpose of this study was to determine how the influence of existing accounting information systems in the company on the implementation of internal control. Researchers used descriptive and quantitative methods by distributing questionnaires. From the research results, it turns out that PT. Pelabuhan Indonesia I (Persero) Dumai Branch has implemented an Accounting Information System of port boarding pass fees and an adequate Internal Control System. The Accounting Information System of port boarding pass fees applied to affect the Internal Control System but the effect is not strong. Then the application of the Accounting Information System of port boarding pass fees and the Internal Control System is in accordance with the Islamic perspective.
Can Photonic Computing be the Answer to Green and Sustainable Computing?

For decades now, processing speed has been consistently rising. The top supercomputer, Summit, today, can perform 148,600 trillion calculations in one second (148.6 PF on LINPAC). Exascale supercomputers that can perform more than one million trillion (quintillion) calculations per second are planned for 2021. However, this smooth ride is almost over with the end of Moore’s Law and Dennard’s Scaling due to the increased power consumption and leakage. Scientists believe that we are reaching serious physical limits. Innovative ideas in device technology and architectures are a must for the next generation of computing. Photonic devices are characterized by their speed and ultra-low power. In this talk we examine the use of alternative Photonic computing architectures based on these devices, on the chip, to solve many critical science and engineering problems, including Partial Differential Equations (the basis for scientific and engineering simulations) and machine learning. We use this to examine the potential and progress needed to reap the full benefits of this technology and move it to becoming a main stream fast green computing alternative.
Image Reordering Based On The Theme Of Diversity

A unique thematic function is proposed to improve the code within the P2P environment, which both displays relevant information as well as balances workload. Therefore, we recommend that you use the updated codebook methodology to improve the information you replace with the resulting codebook and related information, as well as the workload balance between nodes that manage different coding words. An updated version of the Codebook is proposed to be distributed according to the distribution / mixing of personal passwords, which improves target performance at a lower update cost. While most current approaches focus on restricting scalability as well as optimizing high-dimensional visual features, we include content-based images in peer-to-peer systems in this paper to peer-to-peer word models. We recommend using the case. This season's codebook should be updated periodically, instead of the regular time. Within this paper, we offer a unique presenting method to increase mobility around the world, demonstrating both balance and workload. In addition, the peer-to-peer network is dynamically developed, making a stable codebook less efficient for retrieval operations. In order to be able to improve recovery performance and reduce network costs, indexing trimming techniques have been developed. Unlike the central environment, the key challenge is to efficiently acquire an efficient global code book, as images are distributed across peer-to-peer networks.
ANALISIS KESALAHAN PENGGUNAAN SANDANGAN PANYIGEG WANDA PADA UJIAN AKHIR SEMESTER MAHASISWA MINOR JAWA PRODI PENDIDIKAN BAHASA SASTRA INDONESIA DAN DAERAH

ABSTRAK Penelitian ini bertujuan untuk mendeskripsikan kesalahan penggunaan sandangan panyigeg wanda. Data dan sumber data berdasarkan lembar jawaban Ujian Akhir Semester mahasiswaProdi Pendidikan Bahasa Sastra Indonesia dan Daerah, Fakultas Sastra, Universitas Negeri Malang angkatan 2015. Metode deskriptif kualitatif diterapkan untuk mengetahui kemampuan penulisan aksara Jawa mahasiswa Minor Jawa.Hasil dari penelitian ini adalah analisis kesalahan penggunaan sandangan panyigeg wanda oleh mahasiswa mencakup sandangan cȇcak, layar, wignyan, dan pangkon. Kata kunci : aksara Jawa, sandanganpanyigeg wanda, minor Jawa, Mardi Kawi ABSTRACT The purpose of this study is to describe the type of error in sandangan panyigeg wanda writing by students of the college students of Javanese Selection Course students in Educational Indonesian and Javanese Language Class of 2015 using a qualitative descriptive approach. Research data are in the form of fragments in words, phrases, or sentences from the final test done by Javanese selection course student. The results of this study is four types of error in sandangan panyigeg wanda writing which are errors in the use of cȇcak, layar, wignyan, and pangkon.. Keywords : Javanese script, sandangan panyigeg wanda, Javanese Selection Course, Mardi Kawi Normal 0 false false false IN X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable{mso-style-name:Table Normal;mso-tstyle-rowband-size:0;mso-tstyle-colband-size:0;mso-style-noshow:yes;mso-style-priority:99;mso-style-qformat:yes;mso-style-parent:;mso-padding-alt:0cm 5.4pt 0cm 5.4pt;mso-para-margin-top:0cm;mso-para-margin-right:0cm;mso-para-margin-bottom:10.0pt;mso-para-margin-left:0cm;line-height:115%;mso-pagination:widow-orphan;font-size:11.0pt;font-family:Calibri,sans-serif;mso-ascii-font-family:Calibri;mso-ascii-theme-font:minor-latin;mso-fareast-font-family:Times New Roman;mso-fareast-theme-font:minor-fareast;mso-hansi-font-family:Calibri;mso-hansi-theme-font:minor-latin;mso-bidi-font-family:Times New Roman;mso-bidi-theme-font:minor-bidi;}
IMPLEMENTATION OF TECHNOLOGICAL APPROACH IN TRAINING OF THE FUTURE TACHERS OF MATHEMATICS

In the information filled world, students need to pass a large amount of information and differentiate it in accordance to the requirements, necessities and preferences of the subjects of the educational process. That is why the dominant feature of educational and cognitive activity of the future mathematics teacher should be a deep knowledge and understanding of all mechanisms of the learning process, in particular adaptability – the achievement of the goal based on the use of a rational system of actions of teachers and students. One of the first technologies in education – programmed learning – appeared in the middle of the last century. The distinctive features of this technology are the clear formulation of the educational goal and the algorithm for its achievement. Another technology has its origins in the middle of the last century – it is a technology of advanced learning. The basic idea of this technology is to create a comfortable learning environment and conditions for successful learning. Both of these technologies are pedagogical technologies based on the electiveness of management and organization of the learning process. Independent work of students is of particular relevance in the process of preparation of future teachers, since they have to promote this kind of educational and cognitive activity in the work with future students in general secondary education institutions. Therefore, in the context of the study, the issue of organizing students; independent work on the basis of advanced technology using ICT was considered. In order to intensify the preparation of the future Mathematics teachers on the basis of effective independent work of students, it is proposed to modernize and adapt two known technologies for the student audience: advanced and programmed learning. The main idea is to open up online courses and other services (podcasts, interactive timeline, quest guides, etc.) for students to independently work on separate educational topics, ahead of their study in the classroom. Key words: future teachers of Mathematics, pedagogical technologies, independent work, perspective-advanced technology, programmed teaching, podcasts, timeline.
A Study on the Correlation between Curriculum Achievement and Student Behavior on Network-aided Teaching Platform

It's well-known that a high-quality network-aided teaching platform can promote the teaching efficiency through resource and information sharing.In this light, the analysis of students' online behaviors on the platform would help assessment curriculum achievements and learning rules, which in turn can assist teaching method adapting and improve the teaching and learning effects.In this paper, a qualitative correlation analysis is made between student achievement data and students' online behavior data in a widely used network-aided teaching platform.Specifically, the curriculum characteristics in the teaching platform and its influence on students' achievements are explored to provide some practical reference information for curriculum teaching reform and for assessment of curriculum performance.
News Network Information System On Jepara Hari Ini (Jhi) News Portal Based On Contributor Freelance

Abstract Jepara Hari Ini (JHI) is the center of updated information and news facilities. Info on Jepara politics, sports, education, and tourism that focuses on providing information or news well. However, within the limitations of journalists or reporters sometimes making a news information does not work optimally. With this obstacle, an online news agency requires the input of information or news from outside parties, namely the community. The purpose of this study was to design a news network information system on JHI. The results showed that the news network information system in JHI could help the community in giving or seeing the latest information, database, and interface of the resulting application.
A Study on Promoting Pre-service Science Teachers' Readiness for General Physics Laboratory I Course

This research was conducted in order to ensure coming prepared of science teachers to laboratory practices with reflective thinking focused self-assessment practices in General Physics Laboratory I courses and to ensure them to get more efficiency from course. 26 first-grade science education teacher candidates studying at 2013-2014 fall semester constitute the working group of research. In this research, action research was adopted. Experiment sheet and semi-structured interview form including reflective thinking focused self-assessment practices was used as data collection tool. It was analyzed with content analysis by coding obtained data. In consequence of this research, reflective thinking focused self-assessment practices used in General Physics Laboratory I courses for generally preparation of teacher candidates to the course has been shown to have positive effects. Besides semi-structured interviewed teacher candidates stated that these practices improved their critical thinking skills and the ability to self-criticism. According to the results of the research, it is recommended lecturers to use reflective thinking focused self-assessment practices in laboratory sheets.
Metin Madenciliği, Makine ve Derin Öğrenme Algoritmaları ile Web Sayfalarının Sınıflandırılması

As the number of Web sites is growing rapidly, classifying Web pages with respect to their contents proposes itself as a possible solution to prevent accessing malicious content that may be found on these sites or to access useful information in an easier way. With such a classification, access to specific sites may be allowed or these sites may be filtered and thus access to them may be prevented. In this study, the Web site classification problem is examined by using different machine learning methods and artificial neural networks. In order to solve this classification problem, two different approaches are proposed, namely Binary Classification and Multiple Classification. Both approaches are tested and their performances are compared by using a number of Web sites collected for this study. Considering all experimental results, it has been found that the Binary Classification approach is more effective only when it is used to perform the task of filtering a desired Web site class. In terms of performance, Logistic Regression is the best performing algorithm for binary classifiers. Among the algorithms applied in the Multiple Classification approach, Support Vector Machines (SVM) is found as the most successful method. Furthermore, different word vectorization methods have been employed and their performances have been compared within the Multiple Classification problem. Algorithms used in Binary and Multi-class Classification approaches have been separately tested by using different vectorization methods. By this way the classification and content filtering problems on Web pages have been approached together, thus differentiating this study from similar researches in the domain.