Reviewerly/exHarmony huggingface dataset:
Pengembangan Aplikasi Manajemen Turnamen XiangQi Sistem Knockout dan Round Robin PEXI Jambi

PEXI (Persatuan Xiangqi Indonesia) Pengprov Jambi is a united organization for XiangQi athletes especially in Jambi Province. Today, XiangQi tournament system in Jambi has used tournament management application, however it is just limited on Swiss Tournament System. That’s why if the tournament is held with other systems, which are Knockout and Round Robin, the management still uses manual method in determining the tournament pairing and calculation of player’s point. Since the calculation is still done manually, so there are mistakes in calculation player’s points and there are frequently deceptions in determining tournament pairing. Besides, the old application interface is needed to be upgraded in order to be more user-friendly to be used. Therefore, we require a development in system with complete tournament systems and more user-friendly interface to be used.. &nbsp
An Architecture-Centric Development Approach for Service-Oriented Product Lines

Service-Oriented Product Line (SOPL), which combines Service-Oriented Architecture (SOA) and Software Product Line (SPL) concepts and technologies, has attained an increasing interest in software engineering community in recent years. However, there are still several challenges we have to overcome when developing a SOPL. In this paper, an architecture-centric approach for SOPL development is proposed to alleviate these challenges. First, the business process execution language (BPEL) based architecture style and architecture description language bpel4Arch are developed. Then, based on them, a model-driven reference architecture generating method and a common rule engine based architecture customization approach are proposed. For facilitating the translation between application architecture and BPEL, we also provide an optimal partition for application architecture by applying the mixed integer programming (MIP) technique, which can achieve the entire function of target product with minimum molecular services. Finally, an initial case study on E-Shopping domain and some evaluations show the feasibility and efficiency of the proposed approach.
Diagonally-Decoupled Direct Visual Servoing

This paper addresses the problem of vision-based robot control where a reference image defines the equilibrium. Specifically, we consider the class of intensity-based nonmetric solutions, which provide for high accuracy, versatility, and robustness. Existing techniques within that class present either a fully coupled control error dynamics or at best only achieve decoupling of the translational part, i.e., they can only obtain a lower triangular system. These couplings in the system dynamics increase analysis complexity and may degrade system performance. This work proposes a new nonlinear observer for also decoupling the rotational part, i.e., for diagonally decoupling the entire control error dynamics. Theoretical proofs of stability and of those decoupling properties are provided. Improved performances are also experimentally confirmed using synthetic and real data, planar and nonplanar objects, simulating and applying a camera-mounted 6-DoF robotic arm.
The Least-squares Algorithm for Interferograms with Random Phase Shifts

Abstract In surface shape measurement with phase-shifting interferometry, the extraction accuracy of initial phase is significant and it will influence the correct of measurement result. A least-squares algorithm is proposed to solve the parameters of interferograms with random and known phase shifts. It can rapidly extract the initial phase, modulation amplitude and background intensity without any iteration. Numerical simulations and optical experiments are implemented to demonstrate the performance of the proposed method. The simulation and experiment results show that the presented method is effective, rapid and accurate.
International Comparison on the Presentation Methods of Competences in the Music Curriculum - With a focus on South Korea, France, Finland, and Australia -

본 연구는 한국, 프랑스, 핀란드, 호주의 음악과 교육과정에서의 역량 제시 방식에 대해 살펴보고, 우리나라 음악과 교육과정 개정에 대한 시사점을 얻기 위한 목적으로 수행되었다. 연구 목적을 달성하기 위해 한국, 프랑스, 핀란드, 호주의 음악과 교육과정 및 개정 관련 문헌과 자료들을 분석하였다. 연구 결과를 토대로 다음과 같이 제언하였다. 첫째, 음악 교과 역량과 음악과 교육과정 전체의 관계를 명료하게 제시하여야 한다. 둘째, 핵심역량과 음악 교과 역량의 연계 방식을 총론과 음악과 교육과정 문서에서 제시하여야 한다. 셋째, 음악 교과 역량이 음악 교과의 특성을 나타낼 수 있는 형태로 개발되어야 한다.The purposes of this study were to examine the ways that competences were presented in the music curriculum in South Korea, France, Finland, and Australia and find implications for revision music curriculum in South Korea. For these purposes, the investigator analyzed literature and materials about music curriculums and principles for curriculum revision in South Korea, France, Finland and Australia. Based on the findings, the study made the following proposals: first, it is important to present the relations between competences of music subject and the entire music curriculum clearly; second, the outlines and documents of the music curriculum should provide the ways that the key competences are connected with the competences in the music subject; and finally, competences in music subject should be developed in a form that can show characteristics of music curriculum.
THE TOMATIS METHOD AS A MEANS SUPPORTING THE MUSICAL THERAPY AT TREATMENT OF TEACHERS’ BURNOUT

The article discusses A. Tomatis’ method combined with the music therapy and their influence on teachers’ burnout syndrome. Nowadays, the problem of burnout is quite widespread both globally and in Ukraine, in particular. And although, at the moment, the theoretical aspects of this psychological phenomenon are quite profoundly studied, we are faced with lack of its practical implementation. Our article focuses on psychological influence of the specific methods, entered quite recently in the scientific circle. The music therapy as a kind of psychological therapy is beginning to gain popularity in the market of practical assistance, as well as its rather specific branch - the Tomatis Method. Our goal is to investigate and discuss the results of new method application for emotional burnout correction. According to the research results of the study, the following conclusions can be drawn: The music therapy influences significantly on several measured independent indicators of emotional burnout. At the same time, the stable positive effect for certain indicators is combined with increased negative effects for others. The combination (the Tomatis Method and the music therapy) also influences effectively on the measured emotional burnout indicators, but such effect is less stable than the effect of only music therapy. The proposed methods have different influence on different measured indicators: the musical therapy itself corrects mainly reduction of achievements, but it, combined with the Tomatis Method, alleviates emotional exhaustion. Further research will focus on a deeper study with better controlled side effects of each examined method and their combination as for their influence on emotional burnout. &nbsp
From systematic semiotic modelling to pseudointentional reference

Societies as open social systems work through semiotic modelling systems. We view their relevance for shaping primary and secondary needs, as well as metaneeds that are conditioned in social systems. Through conditioning in socialization, semiotic reality can be naturalized up to a level where we can start speaking about not only unconscious, but also unintentional semiosic activity. By that, the very realm of indexicality will be questioned. If indexicality is conjoined with unintended referentiality, then unintentional semiosis means the blurring and fusion of realities far beyond the so-called simulacral semiotic spaces. It is especially acute in the context of the development of technological availabilities where the physical, the semiotic, and the purely virtual reality merge. That quite novel phenomenon is exemplified by semiotic insularization. What follows is that it is hard to define the research object, for the subject is fading away, the real and the virtual are intermingling also in terms of their inhabitants (biological humans, computer users, avatars, virtual identities). Thus the pragmatic dimension of semiotics is gradually becoming lost. Also, the referential reality is moving farther from the informational space created and represented in “traditional” discursive flows, rather becoming based on pseudoreferential clues of meaning making.
Implementation of Back Propagation Neural Network with PCA for Face Recognition

Face recognition is truly one of the demanding fields of biometric image processing system. Within this paper, we have implemented Back Propagation Neural Network for face recognition using MATLAB, where feature extraction and face identification system completely depend on Principal Component Analysis (PCA). Face images are multidimensional and variable data. Hence we cannot directly apply Back Propagation Neural Network to classify face without extracting the core area of face. So, the dimensionality of face image is reduced by the Principal Component Analysis algorithm then we have to explore unique feature for all stored database images called eigenfaces of eigenvectors. These unique features or eigenvectors are given as parallel input to the Back Propagation Neural Network (BPNN) for recognition of given test images. Here test image is taken from the integrated webcam which is applied to the BPNN trained network. The maximum output of the tested network gives the index of recognized face image. BPNN employing PCA is more robust and reliable than PCA based face recognition system.
Análisis del consumo de energía promedio en dispositivos IoT de baja potencia con Blockchain como solución de seguridad

The IoT is allowing the use of devices to collect new types of data about the physical world, but the increase of these devices has also increased the attacks and vulnerabilities to which they are exposed. This paper presents the implementation of a Blockchain with high computing capacity external to the devices and a validation mechanism of authenticity with the aim of providing security to IoT devices. Thus, a fully decentralized architecture was presented and an analysis focused on energy consumption of these very restricted device was made.
VOLTERRA NEURAL NETWORK CONSTRUCTION IN THE NONLINEAR DYNAMIC SYSTEMS MODELING PROBLEM

The features of using the theory of Volterraseries and neural networks in problems of nonlinear dynamic systems model-ing are considered.A comparative analysis of methods for constructing models of nonlinear dynamic systems based on the theory of Volterra series and neural networks is carried out;areas of effective application of each method are indicated. The problem statementis formulated, consisting in the creation of a mathematical apparatus for transforming models of nonlinear dynamic systems derived from the Volterra series apparatus into an artificial neural network of a certain structure.The three-layer structure of a direct signal propa-gation neural network has been substantiated and investigated forrepresent nonlinear dynamic systems. It is outlined a class of systems that can be efficiently approximated by this network.The dependence of the Volterra kernelscoefficients and the weighting coefficients of the hidden layer of the three-layer forward-propagation neural network is established.An algorithm for constructing an artificial neural network based on the Volterra series is given.The results of computer simulation of nonlinear dynamic systems using the Volterra neural network and direct signal propagation neural network are presented. The analysis of experimental data confirms theeffectiveness of using Volterraneural networks in problems of modeling nonlinear dynamic systems.Conclusions and recommendations on the effec-tive use of Volterra neural networks for modeling nonlinear dynamic systems are made.
Contents of the Training of Masters for Professional Counseling in the Field of Education

The article actualizes the problem of the content of masters training in professional counselling in the field of education. It is determined that the content of education is a certain system of normative documents aimed at forming the general and professional competences of graduates. It is emphasized that qualitative professional training of future specialists depends on maximizing the approximation of the content of education to the future employment of graduates.
OC-ORAM: Constant Bandwidth ORAM with Smaller Block Size using Oblivious Clear Algorithm

Oblivious RAM has been studied extensively. A recent direction is to allow the server to perform computations instead of being a storage device only. This model substantially reduces the communication between the server and the client, making constant bandwidth communication (the number of blocks transmitted) feasible. It is obvious that the larger the block size, the easier it is to construct a constant bandwidth ORAM scheme. Also, a lower bound of sub-logarithmic bandwidth was given if we do not use expensive homomorphic multiplications. The question of “whether constant bandwidth with smaller block size without homomorphic multiplications is achievable” remains open. In this paper, we show that the block can be further reduced to O(log3N) using only additive homomorphic operations. Technically, we design a non-trivial oblivious clear algorithm with very small bandwidth to improve the eviction algorithm in ORAM for which the lower bound proof does not apply. As an additional benefit, we are able to reduce the server storage due to the reduction in bucket size.
The Repository is the CRIS, and the CRIS is the Repository

This case study was delivered as part of the Repository/CRIS Workshop (II):Practical Applications for Interoperability and/or Integration.The University of Westminster's Virtual Research Environment (VRE) is a CRIS system built using extended Repository technology. The Repository is a central part of the CRIS, and benefits from advanced capabilities driven by the need for the underlying platform to support CRIS and Repository functionality. Developed in close collaboration with researchers and library & scholarly communications at the university, the VRE has wide functionality and extensive data sharing between components. While metadata management, integrations, and persistent identifiers are vastly simplified by the approach, the shared nature of the CRIS presents challenges in terms of blurred boundaries and data ownership between departments and teams. A considered approach to governance and business ownership has led to close collaboration between different stakeholders, and significant benefits in providing a holistic view of research across the university and throughout the lifecycle of individual research projects. A single user interface and provision of a one stop shop for research has provided high levels of researcher engagement, and the collaborative development and management of the project has delivered functionality which meets user needs, particular with support for practise based research.
Facebook as an Interactional Environment in the Foreign Language Learning Context

Today, Facebook, as a sample of Web 2.0 and social media tool, has considerable effects on communication and interaction among individuals. Related literature also suggests that Facebook can be an educational tool in the learning and teaching contexts. Considered that the nature of foreign language learning directly relates to interactions among learners, how Facebook can be used as an interactional tool among foreign language learners should be clarified in relation to current theories and hypotheses. Thus, this paper discusses the role of Facebook as an interactional tool in a theoretical framework. For this purpose, the study first introduces the role of interaction in the foreign language teaching and learning contexts. Then, it focuses on the relationship between Facebook and interaction in the mentioned processes in the scope of theoretical background. The paper concludes that Facebook is an ideal platform for interaction in the foreign language learning and teaching contexts. Finally, the paper ends with recommendations for target groups and researchers.
Estimating Business Sentiment from News Texts

Business sentiment indices play a crucial role in government's policy decisions, production planning in industries, and individual/institutional investment decisions. However, such indices require large-scale surveys, which are costly and laborious to conduct. As an alternative, this paper reports our ongoing work on estimating business sentiment based on abundant, ordinary newspaper articles. Our proposed framework is composed of a recurrent neural network for regression, a one-class support vector machine to filter out topically irrelevant articles, and fine-tuning for domain adaptation. The effectiveness of the framework is empirically demonstrated by experiments on Nikkei newspaper.
The Right Tool for the Right Job

In Chapter 7 , you learned about the last piece of the “frameworkless toolkit.” You now know how to render DOM elements, manage user input, make HTTP requests, implement a client-side routing system, and manage the state of your application. You’re now ready to create a complete frameworkless front-end application from scratch.
Secure and Privacy-Preserving Services based on Secure Multiparty Computation

Secure Multiparty Computation (SMC) is a promising foundation for the creation of secure and privacy-preserving services. In this thesis, we first identify a notion of privacy which is applicable to technological systems. We then conduct performance measurements to assess practical applicability of SMC. Lastly, on the basis of our previous insights, we design a fully privacy-preserving service for dynamic environments based on SMC.
Differences in Attention Levels between Preliminary Nurses and Pre-service Early Childhood Teachers Using ANT (Attentional Network Test) Computer Test

The purpose of this study was to analyze attentional network test (ANT) and to examine the difference of attention level according to the types of brain dominance between nursing college students and preservice early childhood teachers. The subjects of this study were 79 students in 3rd and 4th grades attending nursing department and early childhood education department of U university. Herrmann's BDI was used to measure the type of brain dominance and Ant (attentional network test) computer test was performed to measure the level of attention. The data were analyzed by independent t-test to determine differences in brain dominance and attentional level between preliminary nurse and pre-service early childhood teacher and to analyze differences in attention level according to types of brain dominance. The results of this study were as follows: First, there was no significant difference between the two groups in A, B, and C quadrants. In quadrant D, the pre-early childhood teacher's quadratic thinking score was significantly higher than preliminary nurse quadrant, respectively. Second, there was no significant difference between preliminary nurses and pre-service early childhood teachers in the level of alerting and executive control. At the level of orienting, the preliminary nurse's orienting score was significantly higher than the pre-service early childhood teacher's orienting score. Third, alerting effect attention was not significantly different according to the type of brain dominance, but orienting was highest in students in the quadrant A, and executive control was highest in students in quadrant D quadrant burnt.
Automatic discovery of descriptions of permutation statistics

The field of permutation statistics is an established subfield of combinatorics with connections to many other fields, such as genome rearrangements, computer science and physics.The definitions of these statistics can be something simple, like counting the occurrences of a classical pattern in permutations, or very complex, like describing how mutated a genome is. StatDescriptor is an algorithm that aims to automatically find a concise description of permutation statistics using mesh patterns.; Umraðanatolfraeði er undirgrein flettufraeði sem tengist morgum oðrum greinum, svo sem erfðafraeði, tolvunarfraeði og eðlisfraeði.Skilgreining slikrar tolfraeði getur verið einfold, eins og að telja tilvik af einfoldu mynstri i umroðunum, eða mjog flokin, eins og að lýsa hversu stokkbreytt erfðamengi er.StatDescriptor er reiknirit sem reynir að finna sjalfvirkt hnitmiðaða lýsingu a umraðanatolfraeði með moskvamynstrum.
Supervised and Unsupervised Data Mining Techniques for Speaker Verification Using Prosodic + Spectral Features

In this paper, we tackled the speaker verification problem using two unparalleled data mining techniques, i.e., supervised and unsupervised learning techniques. We have used the Multilayer Perceptron and Decision Tree algorithms as supervised learning methodologies for speaker verification and Expectation Maximization as well as Farthest First algorithms are used to handle the speaker verification in an unsupervised way. It is found from our research work that supervised based learning techniques yielded best results as compared to other algorithms. The best accuracy performances of MLP, Decision Tree, EM and Farthest First are found to be 73.8%, 69.55%, 66.92%, and 64.29%, respectively. Moreover, this research article has utilized self-built speech corpus for extraction of feature parameters, i.e., prosodic and spectral features. It is found that the speaker verification result is changed significantly by combining both prosodic and spectral features.
Optimizing predictability of rating scales by differential evolution for the use by collective intelligent information and database systems

In this study, differential evolution (DE) optimization is proposed for rating scale predictability improvement. An arbitrary assignment of equal values for rating scale items is used as the classifier although domain experts are aware that the contribution of individual items may vary. Most acade mic examinations are conducted by the use of rating scales. Rating scales are also used in psychiatry (especially for screening). This study demonstrates that the differential evolution is effective for optimizing the predictability of rating scales.
Implementation of Search Engine Optimization Techniques In Increasing Traffic of the Bima Utomo Waterpark Website

Today's business people have generally used information technology for business activities, one of which is the use of a website as a medium to facilitate the promotion of business activities to a wider market.There are many ways that business people can use to promote the website pages they have for potential customers, the common methods used include using email blast, advertising using third party services, the use of social network media and media blog.One very effective way is to utilize search engine optimization techniques, this is because internet users often search for information through search engines like Google.Search Engine Optimization (SEO) is a series of processes carried out systematically and aims to increase the volume and quality of traffic visited by search engines to certain websites by utilizing the search engine algorithm, which is called PageRank.The purpose of SEO is to place a website on the top position of search results based on certain keywords targeted.