Reviewerly/exHarmony huggingface dataset:
Projection with Gaussian Kernel for Person Re-Identification

Person re-identification (ReID), the task of associating the detected images of a person as he/she moves in a non-overlapping camera network, is faced with different challenges including variations in the illumination, view-point and occlusion. To ensure good performance for person ReID, the state-of-the-art methods have leveraged different characteristics for person representation. As a result, a high-dimensional feature vector is extracted and used in the person matching step. However, each feature plays a specific role for distinguishing one person from the others. This paper proposes a method for person ReID wherein the correspondences between descriptors in high-dimensional space can be achieved via explicit feature selection and appropriate projection with a Gaussian kernel. The advantage of the proposed method is that it allows simultaneous matching of the descriptors while preserving the local geometry of the manifolds. Different experiments were conducted on both single-shot and multi-shot person ReID datasets. The experimental results demonstrates that the proposed method outperforms the state-of-the-art methods.
Destinies of editions about the Russian-Japanese War in the collections of pre-revolutionary military libraries

The relevance of the topic is due to the great role of military-historical literature and libraries as its repositories in forming the historical memory ofthe people, which is important for ensuring the spiritual security of the country. The article is the first to examine publications on the Russian-Japanese War of 1904-1905 from the book collection of the “House of Officers of the Novosibirsk Garrison” of the Ministry of Defense of the Russian Federation, got from other military libraries. The purpose of the article is to identify the fate of military libraries. Research tasks are: 1) to calculate the number of publications on the Russian-Japanese War in the book collection of the “House of Officers...”; 2)to reconstruct their repertoire; 3) to determine libraries which collections they were originally included in. The study methodologically bases on historic, objective, systematic principles, localization of historical facts. Methods used are that of source studying, comparative and statistical. The work is done on a wide representative source base, constituted from pre-revolutionary publications of the “Houses of Officers...,” periodicals, regulatory and legal documents of the military department. 21 catalogs of officer libraries were analyzed, confirming the presence of issues on the Russian-Japanese War in them. As a result of the study, 92 pre-revolutionary works in 100 copies dedicated to the Russian-Japanese War were revealed in the library of the House of Officers. For 66 of them in 71 copies the former ownership of 18 military libraries was established. Their repertoire was reconstructed. The results show that the First World War, which destroyed the personnel of the Russian army, became an involuntary cause of the ruin of ­military libraries, having left them without supervision in the places of the previous quartering of troops and deprived them of officers - enthusiasts of ­librarianship. The revolutions of 1917, radical transformations of Soviet power and the Civil War completed the ruin of the tsarist army military libraries, which ceased to exist as independent book collections. The study has expanded the understanding of the state role in military-historical works’ dissemination and military libraries’ collections replenishment.
Spherical Object Tracking using Von Mises-Fisher Distribution in Catadioptric System

Tracking objects on video sequences is a very challenging task in computer vision applications.However, there is few articles that deal with this topic in catadioptric vision.This paper describes a new approach of omnidirectional images (gray level) processing based on inverse stereographic projection in the image plane.Our work is based on minimizing the distance between two models.The model named von Mises-Fisher distribution have as input the gabor phase and the measure used is Kullback-Leibler Divergence (KLD).In one hand, this model matching respect the deformed geometry of omnidirectional images due to using the spherical neighbourhood.In the other hand, the simulation results show that our approach gives as better performance in terms of overlapping estimation.
An Enhanced Convolutional Neural Network in Side-Channel Attacks and Its Visualization

In recent years, the convolutional neural networks (CNNs) have received a lot of interest in the side-channel community. The previous work has shown that CNNs have the potential of breaking the cryptographic algorithm protected with masking or desynchronization. Before, several CNN models have been exploited, reaching the same or even better level of performance compared to the traditional side-channel attack (SCA). In this paper, we investigate the architecture of Residual Network and build a new CNN model called attention network. To enhance the power of the attention network, we introduce an attention mechanism - Convolutional Block Attention Module (CBAM) and incorporate CBAM into the CNN architecture. CBAM points out the informative points of the input traces and makes the attention network focus on the relevant leakages of the measurements. It is able to improve the performance of the CNNs. Because the irrelevant points will introduce the extra noises and cause a worse performance of attacks. We compare our attention network with the one designed for the masking AES implementation called ASCAD network in this paper. We show that the attention network has a better performance than the ASCAD network. Finally, a new visualization method, named Class Gradient Visualization (CGV) is proposed to recognize which points of the input traces have a positive influence on the predicted result of the neural networks. In another aspect, it can explain why the attention network is superior to the ASCAD network. We validate the attention network through extensive experiments on four public datasets and demonstrate that the attention network is efficient in different AES implementations.
Application of Certainty Factor Method For Diagnosis Expert System Skin Diseases In Humans

Dental disease is one of the many health problems Complained of by the people of Indonesia. Dental health is a reflection of human health. Lack of knowledge and limited sources of information on oral health have the caused public awareness to maintain oral and dental health is still low .. The development of one of the fields of information technology namely artificial intelligence has been Widely applied in various fields of life. In this study, the dental and oral disease expert system uses the Dempster Shafer method to control inferences that Contain thought patterns and reasoning mechanisms used by experts in solving problems.
On the Teaching Function of Conceptual Map in Chemistry Teaching in Senior Middle School

The new edition of the New Curriculum Standard for Chemistry in Senior High School in 2017 was officially issued by the Ministry of Education of China. The new ＂Chemistry course Standard of General Senior Middle School＂ clearly puts forward the ＂training of senior high school students' chemistry thinking and practical ability＂. The chemical thinking here mainly refers to the comprehensive thinking ability to absorb and integrate the chemical concepts and related theories. However, the cultivation of this comprehensive thinking ability requires chemistry teachers to develop their thinking ability of comprehensive analysis step by adopting certain classroom guidance skills to maximize the chemistry core literacy of high school students, the author thinks that one kind of education method that is more suitable for senior high school chemistry teachers at present is concept map. The theoretical source of concept map is the schema theory in language teaching. The theory emphasizes the cultivation of students' ability of inductive reasoning or deductive reasoning through the form of conceptual mapping indeed. The core of this paper is to try to cultivate the ＂comprehensive thinking ability＂ of high school students through the guidance of concept map so as to promote the teaching efficiency of chemistry teaching.
LibGuides: The Need for Diverse Literature in K-12 School Libraries and, Where We Can Find It: Research on the Need for Diverse Books in Schools

This LibGuide will explain the need for diverse literature, Where and how to locate diverse literature, and examples of diverse literature by grade level (K-2, 3-5, 6-8, and 9-12) This page will include scholarly research on the need for diverse literature in K-12 school libraries
The concepts and issues of professionalism and public participation in the national education policy decision-making

최근 국가교육정책 분야에서, 엘리티시즘과 비민주성과 같은 전문가주의의 폐해를 극복하기 위한 대안으로 시민참여주의가 급부상하고 있다. 하지만 이와 같이 전문가주의 대 시민참여주의란 이항대립적 관계 설정을 섣불리 하기에 앞서, 본 연구는, 논쟁의 핵심에 있는 전문가주의와 시민참여주의의 개념과 쟁점을 명확히 하는 것을 연구의 목적으로 삼는다. 이를 위해 실재론적 연구방법론(realist methodology)에 기초하여 문헌연구를 수행하였다. 본 연구는 전문가주의를 진화하는 개념으로 분석하였으며 20세기 전문가주의와 21세기 전문가주의 개념을 비교하여 제시하였다. 국가교육정책 분야에서 전문가주의와 관련된 쟁점으로는 교육전문가가 누구인지 불분명하고, 교육전문가가 전문가 구실을 하기 힘듦을 논의하였다. 한편 시민참여주의 개념 논의에서는 시민참여주의의 법적 근거, 학술적 개념, 시민참여의 질, 대표성과 숙의성을 함께 충족시킨 숙의적 공공협의 모형의 예시, 시민참여의 요건을 살펴보았다. 시민참여주의와 관련된 쟁점으로는 시민참여라는 대의에 가려서 시민의 개별적 특성이 간과되고, 시민참여의 목적이 불분명함을 드러내었다. 이러한 분석을 바탕으로 본 연구는 전문가주의와 시민참여주의를 상보적 관계로 보고, 어떻게 국가교육정책 결정 과정에서 전문가주의와 시민참여주의를 함께 충족시킬 수 있을지에 대한 방향과 실재론적 방법론을 제안하였다.In the national education policy decision-making, public participation is becoming a burgeoning alternative to professionalism, which is often criticised for its elitist and undemocratic features. However, it is necessary to clarify the concepts and relevant issues first before hastily establishing the binary relationship between professionalism and public participation. This paper, relying on realist methodology, conducted literature review. It was found that the concept of professionalism kept evolving. More specifically, this study compared the concept of professionalism in the 20th century with that in the 21th century. The two issues related to professionalism were: 1) it was unclear who were educationalists; and 2) It was difficult for educationalists to act as professionals. Concerning the concept of public participation, this study investigated its legal basis, academic conceptualisation, its quality, its prerequisites and the model of deliberative public consultation. The issues of public participation were: 1) the individual characteristics of citizens were obscured by a good cause of the public participation; 2) the aim of public participation was ambiguous. Based on this analysis, this article argued for the complimentary relationship between professionalism and public participation. To achieve this, this research suggested the direction and the realist methodology appropriate to the national education policy decision-making in South Korea.
A Study of English Teaching and Learning Methods Based on Constructivism

With the progress of the times, English courses are changing. In the past, the teachers paid more attention to the content of the subject, and now they lay emphasis on the experience of the learners and their own experience. For modern English education, cultivating students’ innovative awareness is particularly important. At the same time, it is also necessary to improve students’ practical ability. This paper introduces the new teaching theory of constructivism, and analyzes its implications for English teaching and learning methods, so as to guide English teaching practice and solve some problems in practice. In recent years, constructivism has a profound impact on educational practice, and it is an innovation of traditional teaching ideas. This paper introduces the constructivism theory and analyzes the relationship between the theory and English teaching. It can be found that the constructivist view of teaching contributes to the development of English education in China, and helps to cultivate innovative talents in English.
Research on the Status Quo and Hot Topics of Internet of Things at Home and Abroad Based on Bibliometrics

This article uses the core collection of web of science (WOS) as the document data source and ＂internet of things＂ as the search term to retrieve all core journal articles on the Internet of Things technology from 2008 to 2018. This article adopts bibliometrics and information visualization methods, and uses the analysis function and citespace visualization software that comes with web of science to organize and analyze the time distribution, country / region distribution, institution co-occurrence, and keyword co-occurrence of IoT literature at home and abroad. It reveals the development trend of global Internet of Things research, cooperation between cutting-edge countries, institutions, and changes in hot spots, etc., in order to provide a reference for scholars in this field to understand the status and hot spots of global Internet of Things research.
Weight Distillation: Transferring the Knowledge in Neural Network Parameters

Knowledge distillation has been proven to be effective in model acceleration and compression. It allows a small network to learn to generalize in the same way as a large network. Recent successes in pre-training suggest the effectiveness of transferring model parameters. Inspired by this, we investigate methods of model acceleration and compression in another line of research. We propose Weight Distillation to transfer the knowledge in the large network parameters through a parameter generator. Our experiments on WMT16 En-Ro, NIST12 Zh-En, and WMT14 En-De machine translation tasks show that weight distillation can train a small network that is 1.88~2.94x faster than the large network but with competitive performance. With the same sized small network, weight distillation can outperform knowledge distillation by 0.51~1.82 BLEU points.
ANALISIS DAN PENGELOMPOKKAN LAPORAN PENGADUAN MASYARAKAT PADA SISTEM LAPOR.GO.ID DENGAN ALGORITMA K-MEANS PERIODE 2013-2015

Indonesian people has a lot of access to share information about events that occur in everyday life that so the reports data that can be obtained are very numerous. In this study the authors will carry out the implementation and grouping with applying text mining method on report data from LAPOR.go.id to find and classify complaint topics that is most frequently reported with the k-means algorithm.Within the applications, text mining is an advanced technique to analyze and process the textual data that is part of data mining. The application of text mining is used to process the report data prior to the clustering and cluster modeling based on k-means algorithm.Kata Kunci : Keywords : Reports, Complaints, People, Report, Trending, Grouping, Cluster, Text Mining, Data Mining, K-Means
Chatbot anthropomorphism: A way to trigger perceptions of social presence?

Increasingly, companies employ text-based chatbots instead of human service personnelas a more time and cost-efficient way to interact with customers. By imbuing their chatbotswith human-like characteristics, numerous companies choose anthropomorphism for theirchatbot designs. While prior research has generated insights on the effectiveness of productand brand anthropomorphism, research on the effectiveness of chatbot anthropomorphism isstill lacking. By including human cues, companies can anthropomorphize chatbots which, inturn, impacts customers’ perceptions of the social presence of these chatbots. While chatbot anthropomorphism is a specific design strategy, social presence is a customer’s subjectiveperception when interacting with the chatbot. The design of chatbots, especially applyinghuman cues to enhance customers’ perceptions of social presence, might directly affectcustomers’ service experience and behavioral outcomes.The present research proposes that chatbot anthropomorphism positively influencescustomers’ perceived social presence in customer-chatbot interactions. Social presence, in turn,is assumed to positively influence customer-related outcomes, hence, mediating the effect ofchatbot anthropomorphism on customer-related outcomes. Additionally, this research exploreswhether the effect of social presence on customer-related outcomes is contingent on whethercustomers have a hedonic or utilitarian shopping motivation.
The Implementation of Improving the Efficiency of Network Data Transmission Based on Deduplication

In this paper, Deduplication is discussed as a green storage technology to improve the efficiency of network data transmission. Firstly, this paper introduces the concept of deduplication and what kinds of normal fields it can be used. Secondly, it explains the working principle of deduplication. Lastly, the method is implemented to improve the efficiency of network data transmission by software instead of improving the hardware system as before. It analyzes the process how to increase speed of network data transmission by using deduplication.
RETRACTED: Recognizing Student’s Learning-Centered Affective States in Conversation with Intelligent Multimodal Analytics

Coach-led conversations are the most common way for teachers to monitor students' learning progress and provide just-in-time interventions.Students will experience a complex mixture of learning-centered affective states during the conversations, including concentration, confusion, frustration, and boredom, which have been widely acknowledged as crucial components for inferring a student's learning states.Effectively recognizing students' learning-centered affective states, especially negative ones such as confusion and frustration, could indicate that a student has a need for assistance, and help a human teacher improve their perceptual and real-time decision-making capability in providing personalized and adaptive support in coaching activities.Many lines of research have explored the automatic measurement of students' single emotional states in pre-designed student vs. computer-teacher tasks.It still remains a challenge to detect the learning-centered affective states of students in face-to-face teacher-student coach-led conversations.Meanwhile, "in-the-wild" contexts with real operational environments and real teacher-student conversations pose unique challenges in collecting, validating, and interpreting data.In this study, we attempted to first develop an advanced multi-sensor-based system and applied it in small-scale meetings to collect multi-modal teacher-student conversation data.Then, we demonstrate a multimodal analysis framework to characterize students' learning-centered affective states from multiple perspectives: facial, audio, and physiological cues.A series of interpretable proxy features were derived from these modalities and used to train a set of supervised learning classifiers with various multimodal fusion approaches, signal-channel-level, feature-fusion-level, and decision-fusion-level, to recognize students' learning-centered affective states.We achieved a mean AUC of 0.76 for the facial and audio feature-level fusion classifier.Our results
Artistic priorities of theater innovation: the challenges of time or the departure from archaic perception

It has been found that how modern theater is an art that postulates the priorities of a new cultural field and reveals the trajectories of its dynamics in new dimensions. The «Theater of Modernity» strives to be always super-actual and initiates the most effective principles of appeal to the mind. Therefore, a new intonation has been heard recently in the usual many-sided forms of presenting ideas by the theater. It is not defined by the usual framework and is determined by factors of a special order, in particular, the concept of post-dramatism, which carries a new theatrical «enzyme», a new world outlook. The prevailing situation in art highlights the idea of the basics of the formation of the modern image of the world, and therefore denotes the vector of art evolution as a new type of visuality and dominance of the visually oriented art form of the present as such. Thus, modern theater, often referred to as post-dramatic, the nature of which lies mainly in the global trend of separation from the tradition of drama, becomes an influential tool that expands the horizons of heightened empathy and vision in the context of updating the visual strategy. What actually erases the boundaries of traditional artistic aesthetics, deepening the genre-species connection, demanding constant updating of ideas about the possibilities of art and its merging with those areas of life that have never before been perceived in an artistic context.Therefore, a free experiment suppresses tradition and creates an experimental space for stimuli to reflection, rather than sensory perception, an invitation to reflect on the proposed problems, an invitation to take part in a special intellectual ritual. Accordingly, it can be said that stage art embodies in the current situation general invariant trends in the development of a new landscape of culture.In conclusion, we emphasize that this is a statement of a special kind of aesthetics, a special field of art, which can be considered, firstly, a new aesthetic philosophy; secondly, a special artistic space, and thirdly a laboratory of the latest theatrical formulas and forms; fourthly, — both the first, and the second, and the third, — taken together, — as art grafting in a zone of vulnerability.
Keamanan Data Transaksi Nasabah Pada Aplikasi Bank Sampah  Berbasis Web Menggunakan Algoritma AES

The Malacca waste bank located in East Jakarta was established in 2008, the Malacca waste bank has a number of customers reaching more than 300 people and the waste absorbed every month reaches 2 - 2.5 tons. In carrying out its activities, the Malacca Sari waste bank still has several problems, including: the difficulty of recording the income of waste, the lack of integrity between the customer's savings book and the garbage bank's bookkeeping and the customer often does not carry a savings book, and even something is missing, to anticipate this and improve the services of the garbage bank, we need an application for processing data effectively and efficiently, which can have a secure data storage system and complement the application with good security techniques. In this case the researcher uses the cryptographic algorithm (Advanced Encryption System). With this application, it is expected that transaction data information stored in the application will be safe and not known to eavesdroppers or irresponsible parties. In this application, the encrypted information is only in the form of balance data at a garbage bank and only the management and customers can use this application. Based on program implementation and testing, researchers can conclude that this application is easy to use, the confidentiality of data and information able to maintain and protect Keywords : AES (Advanced Encryption System), MySQL, Cryptographic, Php, Waste Bank.
The Capacity of Multi-user Private Information Retrieval for Computationally Limited Databases

We present a private information retrieval (PIR) scheme that allows a user to retrieve a single message from an arbitrary number of databases by colluding with other users while hiding the desired message index. This scheme is of particular significance when there is only one accessible database -- a special case that turns out to be more challenging for PIR in the multi-database case. The upper bound for privacy-preserving capacity for these scenarios is $C=(1+\frac{1}{S}+\cdots+\frac{1}{S^{K-1}})^{-1}$, where $K$ is the number of messages and $S$ represents the quantity of information sources such as $S=N+U-1$ for $U$ users and $N$ databases. We show that the proposed information retrieval scheme attains the capacity bound even when only one database is present, which differs from most existing works that hinge on the access to multiple databases in order to hide user privacy. Unlike the multi-database case, this scheme capitalizes on the inability for a database to cross-reference queries made by multiple users due to computational complexity.