Reviewerly/exHarmony huggingface dataset:
A color image edge detection method based on entropy operator

On the basis of making full use of the rich color information of color images, an edge detection method based on entropy operator in 1αβ space is proposed. In the color image space of 1αβ with the least correlation, the two-threshold method based on Shiozaki entropy operator is adopted to extract the edge of color image, which can effectively detect the edge of the region with little change in brightness, chroma or the region with dark light, and obtain rich edge information.
Psychological basis for training future psychologists and defectologists in inclusive education

Objective of the project is to research psychological bases of formation and development of competency of future teachers-psychologists and specialists on mental defects and physical handicaps of the 12-year school under the conditions of inclusive education.Substantiation of theoretical and methodological bases of formation of professional competency of teacherspsychologists and specialists on mental defects and physical handicaps of the 12-year school under the conditions of inclusive education.
SISTEM INFORMASI FORUM BERBAGI ILMU BERBASIS WEB MOBILE

Along with the development of today's technology in Indonesia, the internet has been widely known to all the people of Indonesia, the ease of accessing the internet menjadi one reason many internet users in Indonesia. Internet has become a reference for people to seek information, business and others. There are still many benefits generated by the internet. Information systems forum sharing web-based mobile science is one of the media that utilize the internet as a means of gathering and discussing to exchange information for internet users who want to share knowledge to the community who have not been educated. With the existence of the forum, the community can know which areas are still a lot of education and can make the organization to be able to share their knowledge directly to the community. The process of making information systems forum sharing web-based mobile knowledge by analyzing the existing system using SDLC method. Next make the design of system design using DFD (Data Flow Diagram) and ERD (Entity relationship Diagram), then proceed with making web-based mobile website design using structured programming techniques and programming languages HTML, PHP and MYSQL database.
English Library and Literary Analysis Based on Statistical Language Model

The design of English learning software based on corpus can provide the students with a good platform for independent study so as to satisfy the requirements of students of different levels. At present, the domestic largest language materials exchange platform is Watt can. However, the domestic study on English learning software based on corpus is relatively little. This paper discusses the design and implementation of English learning software based on the corpus from the angle of function and characteristics of corpus and with combination of design status quo of software. It gives a detailed description from three aspects, i.e. design principle, requirements analysis and specific design course. It provides the implementation of software with technical support.
A study of decision-making style of the employees in divisional secretariat (ds) in Jaffna District

The main purpose of this study was to examine the Decision-Making Style of the employees in divisional secretariat (DS) in Jaffna District. A sample of 75 employees was selected and primary data were collected through a specially designed questionnaire. The data collection was conducted in November 2019. In the data analysis a range of statistical techniques including descriptive statistics such as mean, standard deviation and as well as inferential statistical techniques such as independent samples t-test and ANOVA were used. The results reveal that Decision-Making Style of the employees is varied on Gender, and work experience. However, the result indicates that Decision-Making Style of the employees with higher educational background is relatively high when compared with others.
Автоматическая идентификация диктора по голосу

Speech recognition systems solve problems related to the identification of the speaker. In this case, the speaker’s speech signal is transmitted to the system. For this, reference databases are used that store records of a certain number of speakers, a search is performed between them. Further, the system compares the test record with the standards and gives as a solution some results related to the recognition of which may vary depending on the type of system and its scope. At present, speaker recognition systems are causing keen interest in different areas of human activity, since speech is an easy and natural way for people to interact with each other and with the world around them. In this paper, the systems of speaker identification of a text-dependent and independent nature were considered. Feature extraction was performed using chalk-frequency cepstral coefficients (MFCC). The vector quantization method for the automatic identification of a person by voice has been investigated. Using the extracted features, the code book from each speaker was built by clustering the feature vectors. Speakers were modeled using vector quantization (VQ). Using the extracted features, the code book from each speaker was built by clustering the feature vectors. Codebooks of all announcers were collected in the database. From the results, it can be said that vector quantization using cepstral features produces good results for creating a voice recognition system.
XML Parsing Technique

In the information times, as the carrier of data storage and transmission, XML is widely used because of its cross-platform and scalability. The reading of XML documents requires the use of parsers to extract the data information and the hierarchical structure, and check its validity. This paper presents an XML document parsing model based on DOM and SAX technology. Through experiments, the performance of DOM and SAX parsers is analyzed and compared.
Complex Setswana Parts of Speech Tagging

Setswana language is one of the Bantu languages written disjunctively. Some of its parts of speech such as qualificatives and some adverbs are made up of multiple words. That is, the part of speech is made up of a group of words. The disjunctive style of writing poses a challenge when a sentence is tokenized or when tagging. A few studies have been done on identification of multi-word parts of speech. In this study we go further to tokenize complex parts of speech which are formed by extending basic forms of multi-word parts of speech. The parts of speech are extended by recursively concatenating more parts of speech to a basic form of parts of speech. We developed rules for building complex relative parts of speech. A morphological analyzer and Python NLTK are used to tag individual words and basic forms of multi-word parts of speech. Developed rules are then used to identify complex parts of speech. Results from a 300 sentence text files give a performance of 74%. The tagger fails when it encounters expansion rules not implemented and when tagging by the morphological analyzer is incorrect.
KOMODITAS UNGGULAN HASIL PERTANIAN DI DAERAH LAMPUNG TENGAH BERBASIS CLIENT SERVER DENGAN PLATFORM ANDROID

The agricultural production in the district of Lapung Middle extremely abundant, Many people are able to use modern technology but lack marketing medium used as a place to promote agricultural products in the local area, making it less increase perekonian society, especially in the marketing of agricultural commodities that are in the area of Lampung middle , Many from outside the community are less aware of his special agricultural excellence in Central Lampung regency. For that one of the things that can be done to take advantage of a variety of facilities and services android is designing an application that can be used by the public, especially farmers in accessing information about the commodities, in this information system design using SDLC, made an android application which is biased
Potentials of tranexamic acid injection to reduce bleeding in patients of total knee replacement procedure

Background: The high number of patients with knee osteoarthritis causes an increasingly frequent arthroplasty. This surgical procedure of Total Knee Replacement poses a risk of massive bleeding, which can affect albumin levels and cause intra-compartmental pressure on the nerves. Objective: This study aims to determine the effect of tranexamic acid injection on total blood loss, the degree of pain, and the need for blood transfusions after surgery in patients undergoing the procedure for Total Knee Replacement. Method: The study was an experimental research using primary data from laboratory examination obtained before and after surgery in 64 patients of Total Knee Replacement surgery in the ER operating theater of Dr. Soetomo Regional Public Hospital, Surabaya. Result: In the group receiving tranexamic acid, the group with 32 people (100%) reported a low postoperative VAS score, and did not require blood and albumin transfusions. In the group not receiving tranexamic acid, 32 people (100%) had a moderate postoperative VAS score, where four people (12.5%) required blood transfusions, and three people (9.4%) required albumin transfusions. Conclusion: The administration of tranexamic acid reduce total blood loss, the degree of pain, and reduce the need for blood transfusions after total knee replacement surgery.
Broad Realization Data Processing Applications Agricultural Intensification Program Crops at the Lampung Regency Agriculture Office North

The Agriculture Office of North Lampung Regency is one of the beneficiaries of the Agricultural Intensification Program from the Directorate General of Food Crops with the distribution of assistance through 23 District Technical Implementation Units (UPTD) of North Lampung District. All UPTD Sub-districts receiving assistance from the Agricultural Intensification Program should make a report of the actual crops realized from the program. In processing the report data is the Agriculture Office of North Lampung Regency still using Microsoft Excel application. Therefore, the researcher tries to make a special application to input the data of broad realization of agricultural intensification program programs using Prototype method with Borland Delphi 7.0 program. This application is expected to facilitate officers in inputting data such as commodity data, UPTD data, realization data and officer data.
Using the dead leaves pattern for more than spatial frequency response measurements

The dead leaves pattern is very useful to obtain an SFR from a stochastic pattern and can be used to measure texture loss due to noise reduction or compression in images and video streams. In this paper, we present results from experiments that use the pattern and different analysis approaches to measure the dynamic range of a camera system as well as to describe the dependency of the SFR on object contrast and light intensity. The results can be used to improve the understanding of the performance of modern camera systems. These systems work adaptively and are scene aware but are not well described by standard image quality metrics.
Refrain and Hesitation of EFL Students in Class Oral Participation

One of the biggest barriers for the teachers is the low participation of his students. Students’ low participation is a big hurdle that lowers the teachers’ enthusiasm. This matter can be really devastating to the teachers who feel helpless in such situations. The non-participation happens due to different factors. Thus, it seems that the teacher’s mission is a very difficult one. He must be an influential role model when he deals with his students. One of the influential ideas that increase students’ participation is to bring technology to the classroom. The researcher noticed that shy students felt more confident when their attention is shifted from being toward the class into being towards the program and its interesting presentations. As a result this research is going to explore the problem of student non-participation at Al-Mustansiriyah University and the effect of using technology to increase their participation.
Соціальні мережі як інструмент сучасного мистецтва

The practices of contemporary art artists, who work with a social networks as an instrument in their creative activity are considered in the article The artistic projects, Ukrainian and foreign ones, which include social networks are analyzed. The role of leading social networks in contemporary society is shown, as well as how the artists reflect on it.
Real-Time Coverage Path Planning of a UAV with Threat and Value Zone Constraints

Coverage path planning (CPP) is the task of finding a path that covers every point of an area of interest. Unmanned Aerial Vehicles (UAVs) are being widely used in various fields, such as rescuing, photography, agriculture, and surveillance. However, most of the research focused on finding the optimal path that can cover a specific area without threat and value zone constraints. This paper proposes an entry-and-exit point geometric pattern based CPP algorithm that can avoid no-fly zones and visit high-value zones effectively. The algorithm does not require iterative search and optimization, so it has a real-time performance. Finally, the performances of the proposed method on simulation and real environments are presented and analyzed.
A Study on the Training System of Music Teachers in England, Australia and New Zealand

본 연구의 목적은 영국, 호주, 뉴질랜드의 음악교사 양성과정과 교사 자격제도를 조사하는데 있다. 이를 위하여 각 나라의 교육 시스템, 교사 교육 체제, 음악 교사 교육 과정, 교사 자격 취득 제도에 관한 문헌 연구를 실시하였다. 연구결과 호주와 뉴질랜드의 음악교사 양성과정과 교사 자격제도는 영국 식민지 기간 동안 형성된 영국 교육체계에 기반을 두어 운영되고 있다. 세 나라의 음악 교사 양성 제도는 학위 과정에서 음악전공 분야와 교직과정을 함께 이수하거나, 음악전공 학위과정 이후 교직과정을 이수하여 음악교사가 되는 시스템으로 운영되고 있다. 음악교사 임용은 국가 단위의 자격 기준을 수료한 후 지역 특성에 따라 교사를 선발하고 있다.The purpose of this study is to research the characteristics of music teacher training courses and teacher qualification systems in England, Australia and New Zealand. To this end, a literature study was conducted on the education system of each country, teacher education system, music teacher curriculum, and teacher qualification system. This study found that music teacher training courses and teacher qualifications in Australia and New Zealand are based on the England education system formed during the England colonial period. The three countries music teacher training system is operated as a system that completes both the music major and teaching course in the course of a degree, or after the course of a music major, and becomes a music teacher. The appointments of music teachers are carried out differently depending on the characteristics of the region after completing the qualification criteria at the national level.
A Framework Using Active Learning to Rapidly Perform Named Entity Extraction and Relation Recognition for Science and Technology Knowledge Graph

Construct a knowledge graph is time-consuming and the knowledge graph in the scientific domain requires extremely high labor costs due to it requires high prior knowledge to extract knowledge from resources.To build a scientific research knowledge graph, the most of input are papers, patent, the description of their project and some national program (such as National High Technology Research and Development Program of China, Major State Basic Research Development Program of China, General Program, Key Program and Major Program) which all of them are unstructured data, that make human participation are mostly necessary to measure the quality.In this paper, we design and proposed a framework using active learning; this framework can be used to extract entity and relation from unstructured science and technology research data.This framework combines the human and machine learning approach together, which is active learning, to help user extract entity from those unstructured data with less time cost.By using those data to construct a CKG as annotation label, it further implements active learning tools and helps the expert to rapidly annotate the data with high accuracy.Those knowledge graph constructed by this framework can be used to finding similar research area, finding similar researchers, finding popular research areas and so on.
Credit Card Fraud Detection Using Deep Learning Techniques

Credit card frauds have become very common nowadays and lot of cases has been reported in the recent past with the increase in cybercrimes. Online credit card frauds can be efficiently detected exploiting deep-learning techniques. This paper proposes two unsupervised learning algorithms namely Auto encoder and RBM (Restricted Boltzmann Machine) that acquire information from new transactions and estimate anomalous patterns from these transactions to accurately predict number of credit card fraudulent users. Auto encoder and Restricted Boltzmann Machine were applied to credit card datasets of two continents namely Australia with 690 instances and Europe with 284,807 transactions to find the number of fraudulent users. Python libraries such as numpy, tensor flow, and sklearn were exploited to predict the accuracy, model loss and area under curve for both the datasets and the respective confusion matrix was found. The average accuracy of Auto encoder is 73% and 99% and RBM is 96% and 92% for European and Australian datasets, respectively. Keywords: Auto encoder, confusion matrix, credit card fraud, python library, restricted boltzmann machine Cite this Article: R Suvarna, A Meena Kowshalya. Credit card fraud detection using deep learning techniques. Journal of Web Engineering & Technology. 2020; 7 (1): 30–47.
ANALISIS PROSEDUR PENYIMPANAN ARSIP YANG EFEKTIF UNTUK KELANCARAN KERJA PADA PT ASTRA INTERNATIONAL Tbk-AUTO 2000 SUTOYO MALANG

The purpose of this study was to determine and analyze the archive storage procedure for fluency work at PT Astra International Tbk-Auto 2000 Sutoyo Malang. &#x0D; In conducting this observation, researchers used qualitative methods, used to solve problems experienced by describing the condition of the current research object based on real facts. Data sources in this study are primary data sources collected through observations and interviews and secondary data sources collected from supporting books in this observation.&#x0D; From the result of this study, it can be concluded that the implementation of files archiving procedures has not been done optimally and effective, the factor has not been done maximally due to lack of insight to index, mark and record incoming and outgoing mail using the agenda book. The absence of a special officer who handles the archives in the archives keeps administrative staff from doing double the work of other workers.
What is research data management (RDM)

This article series presents the basics of research data management (RDM). The opening section of the series provides an overview of RDM: what it is, why it concerns all researchers, and how the RDM life cycle relates to the research life cycle.
МОТИВАЦИОННО-ЦЕЛЕВЫЕ ХАРАКТЕРИСТИКИ ПРОФЕССИОНАЛЬНОЙ УСПЕШНОСТИ ПРЕПОДАВАТЕЛЯ ВЫСШЕЙ ШКОЛЫ

The article contains the analysis of scientific approaches to motivation-and-target sphere’s characteristics in the aspect of success in university teachers’ professional activities. In the work there are supplied the research data concerning life and professional goals, the leading sources of professional motivation, motivation directedness, at attaining success in lecturers’ groups with different success level. It is determined that for lecturers with a high success level compared with those of mediate level, of greater priority are: the value of enjoying professional activity, a greater aspiring to being recognized by society, the trait of taking a greater responsibility, a more coordinated with the mentioned traits hierar­chy of life goals.
AI and Quantum Computing

Richard P. Feynman, a Nobel Prize winner in physics, was a physicist thought leader in the areas of quantum mechanics and quantum electrodynamics. In 1982, he published a research paper with the title “Simulating Physics with Computers”. In this paper, he asks the question if a quantum computer could be built (which he believed to be the case) or if classical computers can simulate the probabilistic behavior of a true quantum system (which he answered with a clear no). This research paper sparked interest in the scientific research community, which started to seriously explore whether or not a quantum computer can actually be built.
Results of bibliometric analysis of the publication activity on the scientific library website

The main function of the scientific library is to provide information support and library services to meet the needs of research scientists engaged in research activities and it is becoming increasingly important to enhance the outreach services, build public awareness of science reducing the evidence-practice gap. With that in mind, library websites are among the most appropriate platforms, that hold potential in addressing these concerns, providing online access to a wide range of library and information science sources, visualization of the results both of scientific research carried out by scientific institutions and the librarydevelopments. In this paper we focus on the website of Central scientific library (CSL), department of Library for Natural Sciences of the Russian Academy of Sciences (LNS RAS), in Pushchino Scientific Center of the Russian Academy of Sciences (PRS RAS). This website has been designed as the multifunctional information system offering the users, on one hand, the means for searching the requested information in electron catalogs of the library and all its departments, dissertation database, branched index system in physico-chemical biology, publications of the research scientists from the Center, databases by subject relating to research activities performed in PSC RAS), and, on the other hand, the results of a comprehensive bibliometric analysis of published research of the scientific institutes in the Center (https://cnbp.ru/). The scientific community of PSC RAS has appreciated posted on the library website research projects such as “Achievements of Schools of Science in Pushchino Scientific Center”, “Scientific dynasties in Pushchino”, a database of the former research scientists who worked in PSC continuing their research activities abroad”. Of special interest is the website section created after the study of the information needs of the PCL users which present the results of a bibliometric analysis. Mature researchers may find information on number of times their individual articles have been cited by others, track the impact of their scientific theme, communicate with potential research partners; postgraduate and graduate students may gain insight into a variety of research activity carried out in the scientific Center, enabling them to see the magnitude of the Center’s scientific developments; the administration of institutes may assess the published research of their employees, compare the position in the institutes ranking with respect to other ones in the scientific world, evaluate international activity.
Упровадження квантової едукації та STREAM-підхід в освітній діяльності Малої академії наук

This paper presents an attempt to define concept “quantum education”. It highlights the features of conducting classes of a study group of a research and experimental direction of extracurricular education on robotics and computer modeling based on the approach of quantum learning and STREAM Technologies. Author presents some features of a STREAM warm-up for tuning study group participants in to creative, research and inventive activities, summarizes some the most innovative concepts of modern education. Scientific, research and invention activities are the greatest form for demonstrating the creative level of schoolchildren’ educational achievements. Energy of quanta is directed in lockstep with our ideas and explained dreams. Because quantum theory gets to all spheres of science and human life it widely implements in education.