Reviewerly/exHarmony huggingface dataset:
Cheat Protection in Online Games

Competitive online video gaming (or eSports for short) is a booming industry. Current estimates predict global revenues of well over 1 billion dollars by the end of this year, Twitch.tv the largest eSports streaming network is now one of the biggest sites on the internet, and the International Olympic Committee is even considering to include eSports in the 2024 Summer Olympics.
Space Syntax in Mixed Reality Gaming Applications

With the rapidly growing interest in AR, grows the motivation to overcome some of the problems facing the implementations of the technology. The main challenge encountered in the building of large-scale mixed reality AR games is the uniqueness of the spatial settings in which the game will be experienced by the user. Game designers will require data of the spatial settings to determine game object placement, events and narrative flow. The problem arises because the designers are not aware of the physical environment in which the game will be played. In our research, we address this problem and take an approach to solving it by using Space Syntax techniques. We demonstrate the use of this technique, using a proof-of-concept game called Adventure AR.
New Data on the Formation Conditions of the Dyvok Ore Occurrence (South Yakutia, Russia)

Abstract The article presents new data on the mineralogical and thermobarogeochemical research of Dyvok ore occurrence. The aim of the research is to learn about the mineral-geochemical characteristics of the ore occurrence as well as about the formation of auriferous mineralogical associations at the occurrence. At the moment, Verkhnealgominsk auriferous area consists of several ore occurrences and a deposit. The area is located within famous Stanovaya auriferous area, South Yakutia. Dyvok ore occurrence is subjected to the influence of Tyrkandinski fault. The host rocks are Early-Archaean K-spar-quartz metasomatites, beresited and argillated rocks with sulphide-quartz veins and mineralised zones of beresited rocks with sulphide and quartz-sulphide mineralisation. Now, there are 3 productive ore zones at the ore occurrence. We found mineral associations that contain native gold and described the variety of its forms, seizes and composition. The mineral associations are 1) gold-arsenopyrite-pyrite-quartz; 2) gold-sphalerite-chalcopyrite; 3) quartz-boulangerite; 4) quartz-telluride. We carried out thermobarogeochemical investigation of fluid inclusions in quartz to learn about the formation conditions of productive mineral associations, the quartz was extracted from gold-arsenopyrite-pyrite-quartz, gold-sphalerite-chalcopyrite and quartz-telluride associations. Microanalyses helped to discover monophase, diphase and three-phase inclusions. Early association had the temperature of 270-335°C. The rated pressure is 0.4 kbar. The inclusions contain carbon dioxide, water, methane and carbonate ion. The solid phase contains dawsonite and native sulphur. The deposition temperature of gold-sphalerite-chalcopyrite association is 186-219°C, and the one of quartz-telluride association is 199-200°C. The pressure of the latter two associations remains unknown due to the lack of coexisting three-phase inclusions. Raman spectroscopy showed the presence of carbon dioxide and methane in early association, as well as of carbon dioxide, methane and nitrogen (impurity) in late-phase quartz. Therefore, we claim that all the associations in question were formed in shallow- and mid-depth and oxidizing conditions with the involvement of deeper sources for the ore constituents.
Library services for young people: current trends

Currently, youth libraries need radical modernization in the context of global cyberspace and social networks. Taking the challenge of nowadays, rebuilding their age-old traditions, libraries forced to change the format and saturate their space with new meanings. Studying the organization of modern library services for young people is based on the Information-Library Center for youth of Tyumen city. Evidentlu for it the authors elaborate recommendations to improve servicing young people in the information-library center for youth of Tyumen. The research theoretical and practical significance is determined by the need for an urgent study of youth activities of library institutions to create a positive experience with this category of users. To identify the young people attitude to the activity of the Information-Library Center for youth in Tyumen, the authors monitored public opinion with a sociological survey (questionnaire). The survey has revealed: what users want to get from visits; what forms of work they like, and what would they like; what is the comfort of working in the library. The analysis of the obtained data allowed authors to conclude: 1. Young people are interested in getting comprehensive information on the topics of their interest. 2. Modern technical equipment and the availability of designed work and leisure sites are important com­ponents of the library space. 3. The most attractive leisure activities in the Centre include creative meetings, musical or literary events. 4. Respondents attributed the problem of professional growth of specialists, underdeveloped forms of intellectual leisure and types of information support as shortcomings of the Information-Library Center for young people, which are worth paying attention. 5.The most popular sources of information about the Center activities are social networks. 6. Users rated the Center work as 9.4 points in 10-point scale. The authors have developed measures to improve the quality of library services for young people, increase the interest and activity of this social group in the work of the Information-Library Center for young people. They are: 1. Actualizing the library collection in accordance with youth preferences; 2. Developing advanced forms of book borrow; 3. Organizing the Center library space comfortable for young people; 4. Involving young specialists in library activity; 5. Expanding the library’s social partnership with youth associations.
Implementation design of monitoring attendance for teacher at elementary school with scattered location

Abstract The current location of educational institutions is generally not in the same location due to lack of land availability or educational institutions has the goal of accommodating a number of students from certain regions equally, in other words expanding the reach of these educational institutions. Generally, the institution will provide a solution by constructing a number of rooms vertically and grouping them based on the type of activity given. But the impact is the difficulty of monitoring business administrators and students when they want to conduct guidance or face-to-face counselling in addition to the teaching schedule. Thus it is deemed necessary to have a monitoring instrument regarding the presence of teachers to facilitate students and school administrators to monitor their existence. The system development method was designed using Rapid Application Development (RAD) based on observations of bourding-based elementary schools in Bogor, West Java. The system is designed based on the needs of students and business administrators, through the system there will be a number of information about teacher attendance, substitute staff, the location of the teacher’s existence, current activities and other planned activities so that the parties can optimally utilize the information. With this instrument it is expected that students can learn to manage time effectively so that the character of students who are devoted, knowledgeable, skilled, independent and able to adapt to the development of information technology are formed.
SST'19 - Software and Systems Traceability

Traceability is the ability to relate di erent artifacts during the development and operation of a system to each other. It enables program comprehension, change impact analysis, and facilitates the cooperation of engineers from di erent disciplines. The 10th International Workshop on Software and Systems Traceability (former International Workshop on Traceability in Emerging Forms of Software Engineering, TEFSE), explored the role and impact of traceability in modern software and systems development. The event brought together researchers and practitioners to examine the challenges of recovering, maintaining, and utilizing traceability for the myriad forms of software and systems engineering artifacts. SST'19 was a highly interactive working event focused on discussing the main problems related to software traceability in particular in the context of opportunities and challenges posed by the recent progress in Arti cial Intelligence techniques and proposing possible solutions for such problems.
The Virtual Artist's Book as a Space for Curatorial Experiments: The <i>Acropolis Remix</i> Project

Abstract The author presents postdoctoral research on the concept of art exhibitions presented as virtual artist's books. The author's intent was to conduct theoretical research on emerging trends in art curation and virtual artists’ books, in addition to creating a digital art exhibition to be displayed in museums and other cultural venues. The research resulted in the creation of a hybrid augmented reality book titled Acropolis Remix, which can be exhibited in galleries, museums, libraries, gardens, private homes, etc.
An Integrated System for Improved Assisted Living of Elderly People

The number of elderly people (aged 60 years or over) is increasing significantly. Moreover, this happens in the context of increasing well-being costs and decreasing caregiver availability. Therefore, technology must create assisted living solutions that support elderly in their daily activities and ensure their continuous health-monitoring, safety and social integration while maintaining an acceptable degree of independence. In this context we present the CAMI system—an intelligent system that provides health and home monitoring, supervised physical exercises and interaction between the user and the system is performed through a multimodal interface. The supervised physical exercises are recommended based on the current medical parameters of the user. The results performed by the user are presented in an interactive way using a feedback module. The multimodal interface accepts voice and gesture-based commands and is adapted to the device and to the user profile and preferences.
Study on Intelligent Recognition Matching and Fusion Interaction Technology of Electrical Equipment Model

After investigation and analysis, this project studies the intelligent identification matching technology of the physical device model, the overlay technology of the lightweight model and the physical equipment, and realized the panoramic layered display of the internal and external three-dimensional models of the physical device. According to the specific needs of the operation and maintenance of the physical device, the component-level monitoring data (operating conditions, thyristors, water level, temperature and humidity, etc.) of the physical device are overlaid onto the corresponding equipment model.
LSCMiner: Efficient Low Support Closed Itemsets Mining

Itemsets with relatively low support values are important since they usually suggest highly confident association rules, which are useful in applications such as recommendation systems and medical data analysis. However, most existing algorithms are mainly designed to mine frequent patterns and thus are time consuming in generating low support patterns. There are also a few algorithms focus on low support patterns but not efficient enough. Therefore, we propose here a low support closed pattern mining algorithm, utilizing top-down lattice traversing and novel closeness checking/pruning techniques. Extensive experiments show that our method is much more efficient to mine low support closed patterns than available alternatives.
Kalman filter for multi-target tracking with integrated measurements subject to signal attenuation

This paper is concerned with the problem of Kalman filtering (KF) for multi-target tracking systems with integrated measurements subject to signal attenuation. In order to estimate its own state, each target relies on locally available absolute measurements and relative measurements with other targets in the neighborhood. By enforcing each target to transmit its local estimates to the neighbors in a directed graph, a modified Kalman filter is proposed. By solving the Riccati-like difference equations, the gain matrices are determined by minimizing the trace of the upper bound matrix. A numerical example is provided to verify the effectiveness of the KF.
중국인 한국어 학습자의 ‘체언+용언’ 형 연어 오류 양상에 대한 연구

The Journal of Studies in Language 34.4, 607-628. Systematic and in-depth analyses of Chinese Korean language learners'' lexical errors in general and of collocation errors, in particular, are relatively rare. This study presents empirical data verifying the theoretic assertions that Chinese learners of Korean language produce ''unnatural'' word combinations. In this paper, the authors used a more comprehensive error taxonomy based on previous studies to analyze Chinese learners’ use of Korean collocations. The analysis revealed that the identified sources of errors were mainly from L2’s inherent difficulty rather than first language (L1) transfer. The findings from the Chinese learners’ errors in the use of Korean collocations have implications for L2 vocabulary teaching and learning, which should be of interest to the wider Korean as a Second Language (KSL)/Korean as a Foreign Language (KFL) contexts. (Chung-Ang University)
Goal-Directed Navigation in Multi-Scale Environment Based On Wavefronts Propagation in Cortical Network

Goal-directed navigation is a field receiving much research attention. One of the research branches involves bottom-up construction of navigation ability based on artificial neural network inspired by neurophysiology. Examples include prefrontal cortical network, which organizes information from place cells, motor cells and other interneurons, providing reward calculation and direct action readout in a single framework. Although this kind of models works fine in small-scale environment, it fails in large-scale environment. In order to solve this problem, we introduced wavefronts propagation method in the cortical network, which is a multi-scale planning method with low time complexity. The main parts of our model are reward cells generating non-decaying wavefronts, and interneurons recruiting Spike Timing-Dependent Plasticity (STDP) for storing preferred direction. Tolman maze tests showed that robot recruiting this model has spatial cognition similar to that of rats in Tolman's experiments, providing a possible cognitive map formation mechanism Tolman proposed. Moreover, our model is both scale-free and robust to neuron noise.
End-to-End Denoising of Dark Image Using Residual Dense Network

When taking pictures in extremely dark light, the image taken is usually very dark and noisy due to the small amount of light entering, and there is clear distortion of color. Since the method of using multi-frame or long-exposure has limitations, we use the single-frame denoising method based on residual dense network (RDN), which uses residual dense block (RDB) to makes full use of local features. Our method has achieved better results than state-of-the-art methods. In addition, we have applied the trained model without fine-tuning on photos captured by different cameras and have obtained similar end-to-end enhancements.
MANAGEMENT COMPETENCE OF HEADS OF EDUCATIONAL DEPARTMENTS OF AN EDUCATIONAL ORGANIZATION IN THE SPHERE OF CULTURE

The education system in the field of culture and art has a historically established structure. This structure is the most stable and undergoes the least changes, in contrast to training in other areas of sociocultural relations. Success in professional activity and the self-realization of its graduates largely depends on the organization of interaction of all participants in educational relations. The heads of structural divisions of an educational organization in the field of culture have the main responsibility for the effectiveness of the entire educational organization as a whole, regardless of what level of education this organization implements. The Ministry of Culture of the Russian Federation developed criteria for assessing the effectiveness of the activities of subordinate educational organizations, including all aspects of its activities: criteria for the main activities of an educational organization; criteria for financial and economic activity, executive discipline of an educational organization; indicators for determining the size of incentive payments for employees of educational organizations of performing arts. In addition, the Ministry of Labor and Social Development of the Russian Federation has developed a professional standard that defines the labor functions of senior employees of educational organizations. The presence of these regulatory documents made it possible to justify the validity of the competency-based approach to determining the effective characteristics of the heads of educational departments of educational organizations in the field of culture (managerial competence) and to develop its structure taking into account the behavioral approach adopted in the management to determine the essence of the concepts of competence and competence. The article substantiates the conditions that determine the effectiveness of activities of any team in the long term, and the formation of threshold and deep competencies that are part of the managerial competency structure of a leader will contribute to the development of art and socio-cultural education in the Russian Federation.
Toward Energy–Quality Scaling in Deep Neural Networks

Editor's notes: This article surveys the latest advances in neural network (NN) architectures by applying them to the task of energy-quality scaling. Results show that, while coarse scaling is possible with existing NN architectures, fine-grain scaling is needed for fog computing efforts, and further work should focus on hybrid NN architecture development.
CLIBDA: A Deniable Authentication Scheme for Pervasive Computing Environment

Pervasive computing environments permits users to get the services they require at anywhere and anytime. Security turns to be a major challenge in pervasive computing environments due to its heterogeneity, dynamicity, mobility and openness. In this paper, we propose a new heterogeneous deniable authentication scheme called CLIBDA for pervasive computing environments utilizing bilinear pairings. The proposed CLIBDA scheme permits a sender in certificateless cryptography (CLC) setting to transmit a message securely to a receiver in an identity based cryptography (IBC) setting. Detailed security analysis shows that the CLIBDA scheme is secure in the random oracle model (ROM) under the bilinear Diffie–Hellman assumption. Additionally, CLIBDA supports batch verification which is necessary for the speed up of the verification of authenticators. This characteristic makes the CLIBDA scheme suitable in pervasive computing environments.
Efficient Deduplication on Cloud Environment Using Bloom Filter and IND-CCA2 Secured Cramer Shoup Cryptosystem

Cloud Service Providers (CSP) offers several services over the internet to the cloud users. One of the predominant services offered to the cloud users is data storage. With the rapid growth of digital data, redundancy has become the bottleneck issue in cloud computing environment. Storing identical copies of user data increases the storage overhead. The traditional way of performing deduplication is by comparing the cipher texts, which will result in high time complexity and heavy load on users. To utilize the cloud storage effectively and to reduce the work load of cloud users, a novel inline data deduplication method is created based on Bloom filter. The proposed scheme combines the application of bloom filter and Cramer Shoup cryptosystem to perform secure inline deduplication. Two matrices are created such as keyword matrix and file matrix based on the application of the bloom filter to perform deduplication on the cloud storage. The empirical study of the proposed deduplication technique is carried out on the Eucalyptus v4.2.0 open source private cloud on top of the Xeon processor with 64 GB of RAM Speed. It has been observed that the proposed deduplication improves the efficiency and effectiveness of the deduplication compared to the traditional deduplication algorithms.
Free- Reference Image Quality Assessment Framework Using Metrics Fusion and Dimensionality Reduction

This paper focuses on no-reference image quality assessment(NR-IQA)metrics. In the literature, a wide range of algorithms are proposed to automatically estimate the perceived quality of visual data.However, most of them are not able to effectively quantify the various degradations and artifacts that the image may undergo.Thus, merging of diverse metrics operating in different information domains is hoped to yield better performances, which is the main theme of the proposed work.In particular, the metric proposed in this paper is based on three well-known NR-IQA objective metrics that depend on natural scene statistical attributes from three different domains to extract a vector of image features.Then, Singular Value Decomposition (SVD) based dominant eigenvectors method is used to select the most relevant image quality attributes.These latter are used as input to Relevance Vector Machine (RVM) to derive the overall quality index.Validation experiments are divided into two groups; in the first group, learning process (training and test phases) is applied on one single image quality database whereas in the second group of simulations, training and test phases are separated on two distinct datasets.Obtained results demonstrate that the proposed metric performs very well in terms of correlation, monotonicity and accuracy in both the two scenarios.
The Acquisition of Japanese Numeral Quantifiers Through Song

Abstract This study aims to determine the effectiveness of audio visual form of the song in the language acquisition of the Japanese numeral quantifiers (NQ). The NQ is a phrase consisting of the cardinal number and numeral classifiers (Cl) to quantity expressions. In this study, the NQ are focused on the NQ that serve to quantity expressions 3 dimensional objetcs (use of Cl ∼ko), objetcs for animals (use of Cl ∼hiki), 1 dimensional objetcs (use of Cl ∼hon), binding objetcs (use of Cl ∼satsu), and objetcs for the person (the use of Cl ∼ri/nin). From the results of data analysis found that through the audio visual of the song can be used as an alternative in an effort to accelerate the acquisition of Japanese NQ. This is because if the traditional method only of learning will be difficult to recall one by one of the NQ, while through audio visual in the form of learner song will be more interested to repeat the material more fun every time so that will be more quickly come in into the subconscious memory.
Waste phenomenon learning: is there a relationship between the critical thinking of students and their learning resources?

The goal of this research is to examine the relationship between the skill of students' critical thinking and their learning resources they used. This paper collected data using questionnaire which related to the kind of information they gained on waste phenomenon topic on integrative science course. The Spearman Rank Test showed that the relation of these variables was not significant (Rx = 0.519; p = 0.05). The paper examines the students learning resources such as books, internet and other resources. The future research needs to consider the appropriate learning resources for supporting students' critical thinking skill.