Reviewerly/exHarmony huggingface dataset:
Expert System For Personal Computer Mendiagnosakerusakan Method Using Certainty Factor

Along with the development of information technology, computers today have developed rapidly so that they require a higher technology world. Nowadays computers can be made in the category of human needs, Because they can help or human Facilitate work in various fields. The use of computer laboratories at Sei Bamban YAPIM Private Vocational School is very dense, so the level of computer damage is greater, both in terms of hardware and software. Here the author will discuss Expert Systems to Diagnose Damage to Personal Computers, the Certainty Methods Method is one of the Expert System Methods to Be Able to diagnose damage to a Personal Computer. In this case the Certainty Factor method is used to diagnose damage to the Personal Computer through existing symptoms. The damage is taken from symptoms that may occur and then given a decision and provide Appropriate solutions to Overcome damage to the Personal Computer. The symptoms of damage to the Personal Computer will then be changed in the form of applications. To create an application the author uses Microsoft Visual Studio 2010. This thesis will explain the damage report and solutions for Personal Computer.
An Efficient Journal Articles Searching using Vector Space Model Algorithm

One of the main feature of digital library is a search engine which depends on keywords submitted by a user. However, in the traditional algorithm, the computation performance, searching speed, significantly relies on the number of journal articles stored in the databases. Some irrelevant search results also increase the speed of article searching process. To solve the problem, in this paper we propose vector space model (VSM) algorithm to search for relevant journal articles. The VSM algorithm considers a term frequency - inversed document frequency (TF-IDF). The VSM algorithm will be compared to the baseline algorithm namely traditional algorithm. Both algorithms will be evaluated using combination of keywords which can be a synonym, phrase, error typography, or suffix and prefix. By using the data consist of 635 journal articles, both algorithms are compared in terms of 11 evaluation criteria. The results show that VSM algorithm is able to obtain the intended journal at 5th rank on average as compared to the traditional algorithm which can obtain the intended journal at rank of 171st on average. Therefore, our proposed algorithm can improve the performance to accurately sort the journal articles based on the submitted keywords as compared to traditional algorithm.
Solar Power in the Island Nation, Mauritius

The challenges to integrating a greater share of renewable energy, more specifically solar energy into the power grid in tropical islands are that these islands have a complex microclimate, high humidity and high cloud coverage. Because of this, the power output from solar photovoltaic (SPV) plants is severely affected. In this manuscript, the results of a study carried out on the performance of a 15.2 MW solar photovoltaic (SPV) plant in the island nation Mauritius is presented. The net annual yield was 22 162 MWh and has avoided 22 162 metric t of CO2 emission into the atmosphere. An attempt is also made to develop a model to forecast the power that can be generated from the SPV plants at that location. The grid operator, the national Central Electricity Board (CEB) needs to know a priori, the energy mix for the subsequent few days so that the level of operation of fossil fuel fired thermal plants can be tuned accordingly to minimize the environment pollution of this pristine island.
Research on Risk Assessment Technology of Power Monitoring System Based on Machine Learning

With the complexity of the power system and the increasingly severe network security environment, the industry has urgently needed to improve the risk prediction ability of the power system security and the potential safety hazards brought about by the disposal. According to the experience and the features attributes of historical data, K-means unsupervised learning clustering is carried out. For supervised learning classification, this paper chooses SVM-KNN, and the risk assessment portrait after business disposal is constructed. After establishment and operation of the model, effective and rapid analysis and output of disposal recommendations and corresponding risk levels are carried out, and the original experience is intellectualized and rationalized to the relevant people. In order to make sure the stable, efficient and safe operation of the power monitoring system, model could give prompt safety advice as an expert.
Pengembangan Interactive Multimedia Power Point Presentation (IMPPT) untuk Pengajaran Phonetics

In phonology, students will be familiar with phonetics which is specifically emphasize phonetics’ articulation and the sound. This study used Research and Development method. Researchers developed Interactive Multimedia Power Point Presentation (IMPPT) which can be used to teach phonetics. There are some stages done to develop IMPPT. Those stages are need analysis, data collection, product design and validation, and product testing. Product testing was also carried out as a consideration for the next steps. If the result was not satisfied, the researcher revised the design to obtain the final product. There were three aspects concerned as criteria of IMPPT, namely visual aspect, audio aspect, and material aspect. Those three aspects were validated based on assessment rubrics made by researcher. The range in the rubric is 1-5. The visual aspect showed the highest percentage, in which it was 35%. The second highest percentage was audio aspect. In material aspect, the total score was 23 (32%).
Automatic Mammogram image Breast Abnormality Detection and localization based on the combination of k-means and Genetic algorithms methods

Currently, most oncologists recommend mammography as an effective medical imaging modality for the screening of breast cancer.The aim is to reduce the mortality rate due to this disease.However, several imperfections contribute to the misclassification of breast lesions.Therefore, computer-aided diagnosis (CAD) systems are tools that allow the radiologists a second opinion to improve the diagnosis accuracy.In this paper, an accurate fully automatic method for breast abnormality extraction is presented.The extracted region of interest(ROI) can be subjectively classified by radiologists or used to automatically extract the features that allow for automatic classification.The proposed method consists of two steps: the preprocessing step for delimiting the ROI by removing all the artifacts including the pectoral muscle, followed by the contrast enhancement; the second step is devoted to the extraction of the suspicious area by segmenting the ROI using the k-means algorithm to avoid any initialization.Both contrast enhancement and ROI segmentation are performed by using a genetic algorithm (GA) to achieve good results.The simulation results show the accuracy of the proposed method by comparing the center coordinates and the radius enclosing the abnormality found with those provided with the database.
SOLAR WALK ADS+: Explore Space as A Multimedia to Improve Students’ Understanding and Believe in Learning Solar System

The research is the first research that opens up our Universe from a mobile application called Solar Walk Ads+: Explore Space to improve students' understanding and believe in learning Solar System.The work has begun to collect the data of students' post-test and pre-test using quasi-experiment design participated by 12 students in 7th grade of a private school in Bandung, West Java.The data was analysed based on three different concepts, the higher improvement shows in the concept of the Solar System's effect on the phenomenon on the Earth.Meanwhile, the students' believe effect after learning with this application resulted in the better improvement shown for the lower achiever students rather than the higher achiever students.Finally, this research recommended to held research that finds out whether the improvement is better if learning Solar System using Solar Walk Ads +: Explore Space also motivates students to learn.
TermPortal: A Workbench for Automatic Term Extraction from Icelandic Texts

Automatic term extraction (ATE) from texts is critical for effective terminology work in small speech communities. We present TermPortal, a workbench for terminology work in Iceland, featuring the first ATE system for Icelandic. The tool facilitates standardization in terminology work in Iceland, as it exports data in standard formats in order to streamline gathering and distribution of the material. In the project we focus on the domain of finance in order to do be able to fulfill the needs of an important and large field. We present a comprehensive survey amongst the most prominent organizations in that field, the results of which emphasize the need for a good, up-to-date and accessible termbank and the willingness to use terms in Icelandic. Furthermore we present the ATE tool for Icelandic, which uses a variety of methods and shows great potential with a recall rate of up to 95% and a high C-value, indicating that it competently finds term candidates that are important to the input text.
Estimating model of the number of HIV and AIDS cases in East Java using bi-response negative binomial regression based on local linear estimator

The number of HIV and AIDS cases is a count data correlated with each other. The common model to regress two response variables in the form of count data is bi-response Poisson regression. One infraction of assumptions in the Poisson regression is over dispersion. Negative binomial regression is to be solution to this over dispersion case. This study aims to estimate bi-response negative binomial nonparametric regression model based on local linear estimators for modeling the number of HIV and AIDS cases in East Java. The results give the deviance value as the goodness of fit criterion of bi-response negative binomial nonparametric regression model by using local linear estimator of 2.263 which is smaller than the deviance value of the parametric regression model of 3.926. It means that the bi-response negative binomial nonparametric regression model by using local linear estimator is better than that by using parametric regression model approach to explain the relationship between HIV and AIDS cases affected by drug users in East Java.
Senior Management Oversight and Involvement

This chapter focuses on several security activities requiring managements and, in some cases, senior management’s involvement. The Security Officer should be capable of assessing effective security and serving as the point of contact for security policy, implementation, and monitoring. Management reviews and revises both the initial and refresher security awareness training courses at least annually to ensure currency with the organization’s environment. Media reuse and destruction was one of the top security issues identified in the initial twenty audits of the Office for Civil Rights pilot program. Many of the audit procedures in the Health Insurance Portability and Accountability Act Program Protocol are directed to management. The expectation is that management is knowledgeable and plays an active role in the information security program. Protection of assets is a management function and digital assets are no exception.
Guidelines for the Protection of Computer Crime Threats in the Industrial Business

Aim: This research investigates the characteristics of industrial business enterprises and develops guidelines for the protection of computer crime threats in the industrial business sector.Methodology: The model was discovered from the findings of both qualitative and quantitative of 500 questionnaires distributed to managers/administrators/ IT system controller of the industrial business public company that in stock market in Thailand. The data were analyzed by descriptive analysis categorized into light and heavy industries, and by Structural Equation Model (SEM) to conduct the model in compatible with the empirical data.Finding: The results reveal that: 1) guidelines for the protection of computer crime threats in the industrial business sector consists of 4 factors i.e. IT Governance, IT security system, IT resource and Security operation center. The managers/administrators/IT system controller gave very high importance on guidelines for the protection of computer crime threats in the industrial business sector at 4.23 on light industry and 4.31 on heavy industry respectively. The analysis of the importance on each aspect shows high importance on guidelines for the protection of computer crime threats in all factors 2) The development of SEM shows that the model fits with the empirical data at the 0.060 Chi-square probability levels, relative Chai-square at 1.177, goodness of fit index at 0.962 and root mean square error of approximation at 0.019. 3) The hypothesis results show the following influencing factors: IT governance has direct influence on IT security system at the statistically significant level of 0.001, security operation center at the statistically significant level of 0.001, and IT resources at the statistically significant level of 0.001. Security operation center has direct influence on IT Security System at the statistically significant level of 0.01 and Security operation center has direct influence on IT resources at the statistically significant level of 0.01.Conclusion: Guidelines for the protection of computer crime threats in the industrial business sector for Thailand comprises five main factors in very high important level on IT security system in industrial business of both light and heavy industries. The factors are ranked according to their important levels referred Linkert’s scale as follows: IT governance, IT resource and Security operation center for heavy industries and factors are IT resource, IT governance and Security operation center for light industries in industrial business for Thailand. The evaluation of SEM in protection of computer crime threats in the industrial showed passing the criteria of the model fitting with the empirical data. It was found that Chi-Square Probability Level equaled 0.060, Relative Chai-square was 1.177, Goodness of fit Index was 0.962 and Root Mean Square Error of approximation was 0.019.
A Crypto Model for Confuse-Cum-Diffuse RGB Images: A Near Zero Correlation Approach

Image sharing has been quite common in recent days. With advancements in image sharing technology, the vulnerabilities of a cyber attack on these have also increased. Thus an effective method for encrypting these images is required. This paper proposes an Image Encryption algorithm for a color image using the Logistic Map. The correlation between the adjacent pixels is the major concern in image encryption. In this algorithm, the encryption is done using both confusion and diffusion. Statistical analysis and qualitative analysis are used for showing the feasibility and effectiveness of the algorithm.
Interoperable Semantic Annotation

The paper presents an annotation schema with the following characteristics: it is formally compact; it systematically and compositionally expands into fullfledged analytic representations, exploiting simple algorithms of typed feature structures; its representation of various dimensions of semantic content is systematically integrated with morpho-syntactic and lexical representation; it is integrated with a ‘deep’ parsing grammar. Its compactness allows for efficient handling of large amounts of structures and data, and it is interoperable in covering multiple aspects of grammar and meaning. The code and its analytic expansions represent a cross-linguistically wide range of phenomena of languages and language structures. This paper presents its syntactic-semantic interoperability first from a theoretical point of view and then as applied in linguistic description.
Hybrid and evolving processes for software and systems—ICSSP 2019 special issue

Abstract The volume at hand presents the special issue of the 12th International Conference on Software and Systems Process (ICSSP) 2019, which was held in Montreal, Canada, from May 25 to 26, 2019. ICSSP 2019 is the latest in a series of conferences that have been organized by the International Software and Systems Process Association. In our evolving landscape, many companies are making efforts to move towards new technologies and tools, agile principles, and continuous integration and delivery. In doing so, they find opportunity, flexibility, and strength in evolving towards hybrid processes, which are neither purely traditional nor can count as textbook agile. This special issue focuses on hybrid processes.
Decentralization management in the context of Chinese history and modern financial services

The exploration of centralized and decentralized governance never stops along Chinese history from the agricultural and feudal society to modern digitalized ecosystem nowadays and the conflict between these two managerial ideologies in Chinese history is a conflict restricting but supporting each other. With the emergence of Bitcoin and the deployment of blockchain technology which is the technical infrastructure of encryptcurrencies, decentralized management attracted attention from various industries and domains especially traditional financial system. The practice of blockchain in payment, settlement, supply chain, insurance and other domains is in a critical moment with support from government and regulations. As the heterogeneity of social ideology and overall productivity in feudal society and contemporary society, we can understand the relationships between economy and managerial models, centralization and decentralization, and try to find efficient strategies challenges in decentralized management based on blockchain technology. Besides the thought-provoking changes brought by blockchain in financial services with the attractive characteristics including decentralization, transparency and immutability, the practical problems in deployment require people to do more research and experience new strategies. This paper aims to analyze the decentralization management based on Chinese history and modern financial services with theoretical study and analysis from the perspective of historical and economic development related to blockchain-enabled centralization and decentralization. With analysis of the application of blockchain in financial services, a better understanding of decentralization management is visible and meaningful for further research of blockchain technology-related projects.
An evaluation of Czech word embeddings

We present an evaluation of Czech low-dimensional distributed word representations, also known as word embeddings. We describe five different approaches to training the models and three different corpora used in training. We evaluate the resulting models on five different datasets, report the results and provide their further analysis.
Sistem Temu Kembali Informasi Dinas Pemuda Olahraga dan Pariwisata Kabupaten Purbalingga dengan Metode Vector Space Model

Tourism in Indonesia has now increased both natural and artificial tourism. In Indonesia there are very many tourism offerings ranging from land tourism to water. Purbalingga Regency can be said as agrowing regency, especially in the tourism sector and is starting to be made as a comparison with tourism in other cities in Central Java. Information Retrieval System is an optimization in searching websites so that users get information as expected. Tourism in Purbalingga Regency is still experiencing problems, namely aspects in providing detailed information on attractions. The use of the retrieval system is expected to be used as search optimization to improve the relevance of the query to the tourism documents in Purbalingga Regency. The limited information about tourism in Purbalingga is still lacking, resulting in tourists outside the area not knowing what tourism is in Purbalingga. The tools that will be used to create this information retrieval system are the Codeigniter framework then the programming language PHP for websites with data storage using the Mysql database. In the process of building the information retrieval system, an algorithm called vector space model is needed as a calculation of the relevance of the query to the document. The application of tourism information retrieval system in Purbalingga Regency is expected to help the condition of tourism in Purbalingga Regency to be improved, especially in tourism information. The results of this study are websites searcht hat will provide tourist attraction information in accordance with the query entered by the user and then display documents relevant to the query.
DEDUCE: Diverse scEne Detection methods in Unseen Challenging Environments

In recent years, there has been a rapid increase in the number of service robots deployed for aiding people in their daily activities. Unfortunately, most of these robots require human input for training in order to do tasks in indoor environments. Successful domestic navigation often requires access to semantic information about the environment, which can be learned without human guidance. In this paper, we propose a set of DEDUCE - Diverse scEne Detection methods in Unseen Challenging Environments algorithms which incorporate deep fusion models derived from scene recognition systems and object detectors. The five methods described here have been evaluated on several popular recent image datasets, as well as real-world videos acquired through multiple mobile platforms. The final results show an improvement over the existing state-of-the-art visual place recognition systems.
Students’ Humanistic Position Formation in the Educational Process

Objective: The student's humanistic position is not only the result of the teacher's personal influence but also a controlled process. As a result of the implementation of this process, the student receives an understanding of what should relate to the humanistic process and the humanistic function of society. Background: The basis for the formation of humanism for all participants in the students' educational process is determined either by the teacher's position or by the installation in the pedagogical process. So, any impact on the part of the teacher can be perceived as an exceptional factor of influencing the student's personality, which can be perceived as a compulsory education requirement. Method: Assessment of pedagogical effectiveness was carried out by means of an expert survey. Diagnostic and processing of empirical data was carried out according to the methodology for assessing the importance of each individual requirement for the proposed educational materials. Results: The study examines the components that form the student’s humanistic position on the basis of the traditional components of the formation of the pedagogical teaching strategy. The practical significance of the study is determined by the fact that it is possible to implement the concept of the formation of active skills in students during certain actions and the formation of other humanitarian positions. Conclusion: The study shows that the level of formation of the students' humanistic position concerning all participants in the educational process depends on updating the educational process of training specialists based on the developed theoretical and methodological foundations.
Анализ слабых сторон современного состояния соционики и рекомендации по ее стандартизации

An analysis of the weaknesses of the current state of socionics is proposed and recommendations on its standardization are given.