Reviewerly/exHarmony huggingface dataset:
Design and Application Data Collection for integrated evaluation and monitoring

Abstract The process of data collection of tax subjects and objects at the Regional Revenue Agency (BAPENDA) of Sumbawa Regency is still manual, where the subject and tax object data are still managed in the form of records on bookkeeping media and office application office media applications such as Microsoft Excel. The need for an application design as a form of digitizing a manual process in the governance system to improve the effectiveness and efficiency of the agency. The research aims to develop Tax Object Subject Data Collection Applications. The application is built with Web-based programming, using the PHP Programming Language and Sublime Text as Tools Editor and MySQL as a data storage medium. The application built can present data collection features related to tax object subject data such as companies, restaurants, hotels, parking and ground water data and can display reports in the form of data related to tax object and object data collection to facilitate the monitoring process in BAPENDA Sumbawa Regency.
Design and Implementation of Energy Internet Big Data System Based on Blockchain

Abstract Blockchain is a new application model that integrates distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm, and other computer technologies. These technologies make blockchain traceable, reliable, and resistant to modification, characteristics that suit the need for data storage and exchange. As a result, in this paper, we design an energy internet big data system based on energy and blockchain technology systematically. Firstly, we discuss the basics that support for energy scheduling and policymaking of the management department, including energy data coordination, enterprise monitoring, and consumption monitoring, and trading services. Secondly, we develop the Unified Energy Reporting Service. It can generate the energy demand and supply table, production and sales table, demand forecast table, energy consumption monitoring table, environmental protection monitoring data, and energy data of critical customers. Finally, we ensure the storage and collection of evidence in our system, which would guarantee the electric security of the Winter Olympic Games.
Label-Attentive Hierarchical Network for Document Classification

Text classification is one of the most fundamental and important tasks in the field of natural language processing, which aims to identify the most relevant label for a given piece of text. Although deep learning-based text classification methods have achieved promising results, most researches mainly focus on the internal context information of the document, ignoring the available global information such as document hierarchy and label semantics. To address this problem, we propose a novel Label-Attentive Hierarchical Network (LAHN) for document classification. In particular, we integrate label information into the hierarchical structure of the document by calculating the word-label attention at word level and the sentence-label attention at sentence level respectively. We give full consideration to the global information during encoding the whole document, which makes the final document representation vector more discriminative for classification. Extensive experiments on several benchmark datasets show that our proposed LAHN surpasses several state-of-the-art methods.
Psychological Service in Education

Teaching and learning an academic discipline aimed at training and development of students, mastering a system of ideas about the content and structure of the psychological service in the education system, the legal basis for activities of the service, the main types and directions of pedagogic and psychological practical and typical issues within the competence of his work. The study of the discipline by students will contribute to the formation of their General and professional worldview, professionally important personal properties and qualities. The academic discipline contributes to the deepening and expansion of the basic professional training of students, as well as takes into account their educational needs.
Does Institutional Environment Affect Outward Foreign Direct Investment?: Panel Study

This study is an attempt to find if there is any association between institutional environment and outward foreign direct investment (FDI) for the period between 1990 and 2011. For this aim three different institutional structure indicators are utilized. Freedom of speech and press, religion freedom and electoral self-determination are put into use. There is a negative linkage between outward FDI and the quality of institutional structure using random effects model (REM). Although electoral self-determination loses its statistical significance, empirical findings still hold even if the openness and human capital investment proxies are added to the models as control variables.
Dealing with the Things—Management to Transaction

1. Dealing with the Things, which is the management of an enterprise, refers to the way in which an enterprise deals with affairs during its operation. It is a systematic process through which things are Observing Things, Planning Things, and Knowing Things and Achieving Things. The ideal state of management is the long-term stability and sustainable development of enterprises. We should adhere to the principle of moderation to do things neither not in place nor in excess, the principle of rational choice to hold the two and adopt the moderation, and the principle of adoption to adhere to the law and be flexible, so as to manage the enterprises. 2. Observing Things, which is the most basic link in the management of business affairs, emphasizes a process of understanding the nature, environment, and conditions of things. Through the system dialectical, the concept of complying with nature and the method of taking reason as the basis and taking history as the mirror., we can listen to all parties and examine the situation. 3. Planning Things, which is planning, emphases the process of efforts, refers to the enterprise according to the specific situation already known, to the affairs of the planning, and the development of action strategies. Planning is the core and most important step in the management of affairs. The core problem is how to make decisions. The object of Planning Things includes Planning for oneself, Planning for others and Planning for the time. Leaders must achieve this process of “Planning Things” by three principles “Winning by judging the enemy’s situation accurately”, “Changing the strategy with changes of the enemy”, “Knowing your enemy and yourself well,”. with the concept of “benevolence”, “rite”, “profit”, “righteousness”, “honesty”, “credibility”. 4. Doing Things, its core problem is how to achieve the set goals. When the affairs’ specific situation is clarified, and the corresponding decision-making strategies are formulated, it must be implemented based on this. Adhering to the precautionary attitude of “Repairing the house before it rains rain”, “Remaining indifferent whether favored or humiliated”, and “making a prompt decision”, with the theory of constantly changing by law and the application of “Being and not-Being grow out of one another”, “Using both kindness and authority” and “Being prepared for danger in times of peace”, the company can finally get successful.
Vehicle Aided Navigation and Positioning Method Based on Computer Vision

In order to accurately Park large vehicles in a certain position, this paper proposes a vehicle aided navigation and positioning method based on computational vision. The position of the navigation ruler is detected by Hough transform on the basis of interval accumulation. The amount of information required for vehicle navigation and positioning is analyzed, and the angle and position information can be provided in real time according to the navigation ruler. The experimental results show that the method is not only simple in structure and easy to implement in hardware, but also has good real-time performance.
Contingency Detection in Multi-Agent Interactions

Contingency is the principle of interaction that governs how one partner influences another. This paper presents a formalization for multi-agent contingency detection over discrete intervals of humanagent interaction. A multi-agent virtual sandbox is implemented for a human participant to play with one of two agents and produced labelled interaction data. We perform a preliminary analysis to detect contingency from continuous behavioral signals from the participant and agents.
Human Face Identification using Moments and Transformations

Abstract Face recognition one of the most promising techniques such that the importance of biometric user identification is increasing every day, several methods have been suggested to perform it such as classification, deep learning, statistical, moments, etc., this work describes different approaches to develop biometric technique, based on the moments and transformation. The proposed method for face recognition is based on Legendre moments and singular value decomposition for feature extraction. Local approaches by dividing images into several blocks (overlapped blocks and non-overlapped) have been adopted to gain the best recognition rate, as well as normalization using the Z-score method, which has been used. The outcomes experimental showed that the suggested system is effective, it has been tested using ORL face image databases with 10 cases and achieved a recognition rate from 85.27-100%, also, applied on FEI Brazil face database with 10 cases and achieved a recognition rate from to 79.77-100%.
Understanding Build Errors in Agile Software Development Project-Based Learning

Recently, various institutions have been conducting advanced programming education aimed at experiencing agile software development in the form of project-based learning (PBL). In the agile software development model, an essential part is the build process. In this study, we investigated students' build behaviors in agile software development PBL (SDPBL) by monitoring and collecting logs of the build process from 2013 to 2016. In our investigation, we collected two types of logs, the local build logs collected by each student's build in their own local programming environment, and remote build logs collected by any team member's commit in team repository. Based on our analysis of the build logs from 2013 to 2015, we found that the causes of remote build errors are related to both technical factors and communications among students in a team. In 2016, the instructors tried to educate to students the reason why the remote build error occur and how it can be resolved. As a result, in 2016, the number of remote build errors and the time required to solve the build errors decreased compared to previous years. It indicates a possibility that the student's comprehension of build error is effective on improving quality of software product and team development.
An Efficient Privacy-Preserving Ranked Keyword Search Method

Abstract The keyword searching algorithm plays a vital role in cloud computing Architecture. Here, the searching technique is applied as a tool to encrypted data set which is outsourced. This technique works well, by either directed on multi keyword findings with exact match or one keyword search with fuzzy logic with a result of true or false. Though the existing techniques come across sensible difficultyin execution upon the encrypted data set, in the execution of multiple keyword based searching, keyword correction is difficult to achieve. To overcome with this problem, we construct a highly efficient, multiple corrections in keyword searching algorithm using ranking scheme. Multiple corrections like spell checks and errors. In the existing system of Author Wang and others scheme, they were unable to address the aforementioned problems, But in our method of multiple keyword searching technique, the Fuzzy Gramm algorithm helps to detect and handle the spelling errors by making a function call. Additionally the keywords with similar ancestry can be found by making use of stemming procedure. Alongside with thatrank keyword is used to achieve accurate checking with matched text file content. Thus the proposed approach enhances security and reliability to the maximum extent compared to the existing system.
A Non-classical View of the Classical Spaces

This chapter is devoted to the classical sequence spaces and function spaces. The sequence spaces are defined explicitly but the function spaces require some measure theoretic machinery to be developed. The approach we take avoids the technicalities of measure theory and instead uses the metric formalism already at hand in order to present the function spaces both rigorously and comprehensibly. Of course, the measure theoretic techniques are of great importance. The aim is to quickly equip the reader with familiarity with these important spaces and pave the future way into measure theoretic analyses.
The Role of Social Pedagogy in Adapting to the Values of the Biosphere Worldview

Abstract Although there is a great number of discussions in the world arena concerning interconnection of changes in education and the strategy for the development of modern civilization, as well as documents acceded by the variety of UN Conferences in regard to environment and development, there haven’t been any significant changes in the worldview and practice so far. On the contrary, the acceleration of the expansion of the technosphere and thereto related degradation of biosphere life are in evidence. This implies that attempts to solve global problems of our time based solely on the understanding of objective laws of social development are unsuccessful. In our opinion, the development of measures to reform modern education should take into account the interaction of three factors: technogenic society, technosphere and transformed biosphere. The consequences of global change-over of life connected with the spontaneous formation of the techno-noosphere should also be realized. Such change requires new mechanisms for socialization of the younger generation, which are able to allow not only adapting to the changed environment, but also correcting mistakes in the social development as a whole. In this context it should be realized that traditional pedagogy is unable to get radically the things done. Therefore, mainstreaming of social pedagogy into the educational process is of great necessity. In our opinion, it is socialization based on biosphere mentality and mindsets expanding the scope of the ecological worldview that can take all the transformational processes in the society, nature and a human being into consideration and work properly. With a foundation of social pedagogy and biosphere mentality and mindsets it is possible to propose a set of measures aimed at humane correction of modern educational systems in order to increase their effectiveness in the fight for saving of biosphere life.
Complexity of Risk Management in Danish Power Transmission Industry: Managing Disregarded and Minor risks

With Risk being an ever-present concern, the Danish Power Transmission Industry (DPT) is no stranger to the concept. However, with growing complexity in the asset portfolio and an organization that wants to conform with agile methods, the DPT involved in this paper, are facing challenges regarding risk management in asset management activities. Disregarded and minor risks are backlogged and surveyed only once a year and a strong desire to change that fact have arisen in the asset management department. The aim of this study is therefore to examine the literature and investigate the current processes at the DPT, to ensure the development of a solution that can encapsulate and solve the disregarded and minor risks.
Design of Typing Skills Feedback System for Behavior Change

It is important for teachers to understand the abilities of students and provide effective instruction to each of them. However, it is difficult to provide all students with appropriate instruction according to their individual abilities within the limited class hours. In this study, we proposed a system for supporting effective instruction to students and focused on evaluation of typing skills as an example of its application. The proposed system automatically evaluates students’ typing skills and provides them feedback. Two types of feedback are designed based on the behavior change framework called Persuasive Systems Design and encourage students to spontaneously improve their typing skills. In the evaluation experiment, we provided students feedback to evaluate changes in their typing skills and investigated what feedback encourages behavior change. Analyzing the changes in students’ typing skills, we found that the feedback that effectively encouraged behavior change varied according to students’ abilities.
The Lexical Complexity and Basic Vocabulary of the Italian Language

The comprehensibility of a text depends mainly on two factors: the lexicon and the syntax. Thanks also to computational tools, we present here a research study that aims to assess the level of comprehensibility of the lexicon of the texts used for the linguistic education of primary school children. In the study presented in this paper, we formalized the New Basic Vocabulary (NVdB) [6] by including it within the Italian for NooJ [15]. An experiment was carried out on a collection of texts of approximately 312,000 tokens. It is composed of classic and contemporary narratives for children, aged between 8 and 10, attending the last three years of primary school. In our research we will present the preliminary results of the analysis, which will show the text classification according to their level of lexical complexity. This type of textual analysis finds several fields of application in language education studies.
Music Upscaling Using Convolutional Neural Networks

Audio upscaling with generative neural networks has been studied in the fields of super-resolution and speech bandwidth expansion. Previous approaches have worked well for speech, but not for music. We propose a convolutional neural network approach with a novel dilated and residual architecture for this domain and an additional refinement method which outperforms the cubic spline baseline when upscaling music according to a spectral distance error metric.
Application and Practice of Intelligent Optimization Algorithm in Improving Online Teaching Quality

Intelligent optimization algorithms (IOA) are widely used in all walks of life, education industry is no exception. The global epidemic in 2020 has led to the adoption of online teaching in schools at all levels. With the help of intelligent optimization algorithm, the online teaching is gradually optimized, and the factors affecting the teaching quality are reconfigured to reach the optimal level. Therefore, intelligent optimization algorithm is of great significance to improve the quality of online teaching. According to the two factors of school factor and student factor, the model of intelligent optimization algorithm is built and applied. Through questionnaire survey and model, it is concluded that online teaching quality is optimized in teaching resources, teaching conditions, teaching methods, teaching organization and students' independent learning. After learning online, students think that online teaching effect is higher, the online teaching method is better, the online learning effect is higher. Therefore, optimizing online teaching through intelligent optimization algorithm improves the quality of online teaching to a certain extent and promotes the development of education.
Towards tracking the development process of the server ecosystems using open-source data

In the last couple of years ARM-based servers have been gradually deployed in the global data centers. Such tendency may provide great business opportunities for companies in the IT industry. Hence, the ability to track the development process of the server ecosystems is of great value. In this paper a feasible method is proposed to evaluate the level of development of the server ecosystems based on analyzing open-source information obtained from Linux kernels. In particular, the source code and git commit logs of the Linux kernels are utilized to characterize the level of development for three major ecosystems, including x86, ARM64 and MIPS. The development process between the three ecosystems is compared to illustrate their momentum in the future server market.
Discussion, conclusion, and recommendations

In this final chapter, we integrate the ideas discussed in earlier chapters regarding blockchain's roles in improving performance in terms of key attributes such as traceability, visibility, and transparency in today's extremely complex supply chains. We consider the future of blockchain in supply chains and how the developments in other technologies are likely to affect its potential to improve supply chain management. The chapter also addresses the importance of organizational, interorganizational, and cultural changes to benefit from the potential of blockchain. It argues that while some actors may see an opportunity to distort the truth for profitable gains, new technologies such as artificial intelligence (AI) and satellite imagery can change the economics of truth and bring blockchain closer to a truth machine. Recommendations and implications for policymakers, companies, and scholarly research are discussed.
Research on Methodology of Intelligent High-Speed Railway Architecture

Driven by the rapid development of High-speed Railway and intelligent technology, China has started the progress of Intelligent High-speed Railway (or IHSR, for short) comprehensively. IHSR is a complex cyber physical system which requires a top-level design to determine the implementation path for planning and construction. Based on the analysis of design methodology of intelligent systems at home and aboard, combined with the connotation and characteristics of IHSR in China, the architecture design methodology of China IHSR is researched in the paper. Service framework, functional framework, logical framework and physical framework are proposed here. Besides, the connotation and system composition of IHSR brain is discussed, which is the foundation platform of IHSR system.
Modern E-Learning based Information and Communication Technologies (ICT) as a Part of Teaching Process

All sectors of our society are undergoing modernization, and education is no exception. Schools are slowly beginning to realize that teaching can be simplified with modern technologies that save us time as well as money. One of the main tasks of this article is to clarify the terms related to electronic technologies and their use in the teaching process. These technologies are used mainly in the distance form of study, which requires greater independence and activity of students in the teaching process itself. It is precisely when it comes to distance learning that the word e-learning is most used. The task of every school is to offer the best possible education for its students, and this can only be done with the help of modern achievements.