Reviewerly/exHarmony huggingface dataset:
Implementasi Profile Matching untuk menentukan Tempat Kerja yang sesuai dengan Kompetensi bagi Lulusan STMIK Pelita Nusantara Medan

The number of graduates of computer science colleges who work not in accordance with their competencies, can be caused by choosing the wrong place to work, but it is undeniable that many graduates do not work according to their competence because of difficulties in finding a work place due to not having a lot of references to the appropriate workplace with competence. The purpose of the research is in addition to continuing previous research, is to make it easier for students to find out the competencies they have while suggesting workplaces that are in accordance with the competencies of the graduates. Indirectly researchers want to avoid the formation of thinking to the community that college at university is not able to facilitate someone in finding work, so that people will be more motivated to continue learning and achievement especially in college
Analysis of theoretical approaches to the definition of the content of education and training in the Master's degree

The paper analyzes the theoretical approaches to the definition and analysis of the content of education and the content of teaching in didactics. It is concluded that the process of changing the concept of the content of education and training is associated with the needs of society, which determine the goals of education; the system of training, subject to the laws of the learning process; time and material constraints. In the course of the study identified problems in the content of education at the present stage of development of Russian higher education. The author of the study is to define the requirements for the content of programs and training courses, identifies the essential components of the content of training in a magistracy. The analysis of scientific literature, personal pedagogical experience, requirements to the content of education and training in the master's degree allowed to establish the connection of the procedure for determining the content of educational material with the methods of its selection. This connection is established on the principles of goal-setting, which determines the correspondence of the content of education in the master's program to the goals and objectives set by the society at the present stage of development; content compliance study at the graduate level of modern science and production; structural integrity; soundness and sufficient minimum of knowledge; compliance of the scope of the educational material planned study time to study it.
Finger Cue for Mobile Robot Motion Control

The current technology enables automation using a robot to help or substitute humans in industry and domestic applications. This robot invasion to human life emerges a new requirement to set a method of communication between a human and a robot. One of the oldest languages is finger gesture, and this is easy to be applied method by implementing image detection that connected to the actuators of the robot to respond to human orders. This paper presents a method to navigate robots based on human fingers cue, including "Forward," "Backward," "Turn right," "Turn left," and "Stop" to generate the forward, backward, turn right, turn left, and stop motion. The finger detection is facilitated by a camera module (NFR2401L) with the image plane of 640 x 480 and 30 fps speed. The detection in coordinates x &lt;43 and y &lt;100, robot moves forward, in x &lt;29 and y &lt;100-coordinates , robot turns left, and in x &lt;19 and y &lt;100-coordinates , robot turns right. The experiment was conducted to show the effectiveness of the proposed method, and to some extent robot can follow human cues to navigate in its assigned location.
Comparison of Attention Behaviour Across User Sets through Automatic Identification of Common Areas of Interest

Eye tracking is used to analyze and compare user behaviour within numerous domains, but long duration eye tracking experiments across multiple users generate millions of eye gaze samples, making the data analysis process complex.Usually the samples are labelled into Areas of Interest (AoI) or Objects of Interest (OoI), where the AoI approach aims to understand how a user monitors different regions of a scene while OoI identification uncovers distinct objects in the scene that attract user attention.Using scalable clustering and cluster merging techniques that require minimal user input, we label AoIs across multiple users in long duration eye tracking experiments.Using the common AoI labels then allows direct comparison of the users as well as the use of such methods as Hidden Markov Models and Sequence mining to uncover common and distinct behaviour between the users which, until now, has been prohibitively difficult to achieve.
Pelatihan public speaking bagi siswa SMA Negeri 5 Barru

The Community Partnership Program (PKM) partner is OSIS SMA 5 Barru. The problem is: (1) low motivation in speaking activities, especially in public. The lack of confidence is always experienced by students, so there is no courage to speak in public and (2) limited knowledge, techniques, experience, and public speaking skills. The method used is three stages, namely (1) providing material, (2) practice or simulation, and (3) mentoring. The results achieved are (1) partners have motivation, enthusiasm, and self-confidence can speak in public and (2) partners have knowledge, techniques, experience, and skills when speaking in public, including in supporting activities in carrying out activities in school and community.
KEMAMPUAN APRESIASI SASTRA SISWA SMA DI KOTA MEDAN

Literary learning systems have not used the ability to appreciate literature. Many teachers who teach literature only based on knowledge about teaching and learning activities feel monotonous and boring.In the 2013 curriculum, the literature learning system is always for students to appreciate literature based on literary text. Students ability to appreciate literary works is hoped to increase due to the application of the 2013 curriculum. However, there are so many students who have not been able to do it. The purpose of this research to find out the ability to appreciate student literature.theobjectives of the research method was carried out using quantitative descriptive method with a sample of 55 students from 3 schools in Medan City. The data collection technique is done by tests. Students are asked to answer questions about short stories entitled 'JuruMasak. The test refers to the students’ ability to understand literature based on the elements of literature and understand the use of language through literary work. The results of this study indicate that the average value of students' literary appreciation amounts to 88,465 and can be said to be good. While the value of the ability to understand language through literary works the value of the average ability to understand students' language amounts to 66,465. The value of 66,465 shows the results of the ability to understand student language quite well and still need to be improved
Rancang Bangun Konstruksi Rangka Dan Bak Penampung Alat Penyapu Jalan

At this time in the process of sweeping the road still using traditional tools by janitors, for example broom sticks. One of the technologies that began to develop was the Street Sweeper machine. This Street Sweeper is a tool to help alleviate the work of janitors in terms of road sweeping. Sweeping the highway using the Street Sweeper is one of the main steps to accelerate the process of sweeping the highway with rapid traffic flow. The working principle of this machine is by utilizing thrust from humans, by means of a machine being pushed and directed to the garbage scattered on the road. Therefore it is very appropriate to use Street Sweeper to sweep the road compared to using manual tools because it can save work time
Text Mining of Activity Reports to Track and Monitor Rural Youth Training Programs

Use of software solutions as a medium for data collection, monitoring and tracking of any intervention program is increasing rapidly in real-world scenarios. In this paper, we present a case study on the use of text mining on data collected through a software system in place for tracking and monitoring industry-relevant skill training programs for the youth of rural India. Insights derived through text analysis of training data from various centers is presented. The limitations and future research potentials inferred from the data analysis are also discussed.
A Set of Conceptual Guidelines for Reverse Engineering Using Ontology-Based Materialized Views

Data reuse and meta-data handling remain tricky problem for both the designers and managers, especially when schemas reverse engineering is on demand and that some data are stored in materialized views. In this paper, we tackle such problem by using ontology-based meta-materialized views. Indeed, ontologies, which are semantics-based, ensure the stability of the underlying schemas of the data repositories and to ease the overall access and processing of the data and meta-data. Our proposal is sustained by a set of conceptual guidelines and outlined through a case study example.
Kemampuan Biofilter Anaerob Berdasarkan Jenis Media dalam Pengolahan Air Limbah Domestik Tahun 2016

Domestic wastewater is used water that cannot be used anymore for its original use, either containing human waste (feces) or from kitchen, bathroom and washing activities. The more dense the population in a settlement the more waste must be controlled. One simple way to treat domestic wastewater is to use anaerobic biofilter based on the type of media. The media used were broken stones, plastic sheets, and coconut shell charcoal. The purpose of this study was to determine the ability of anaerobic biofilter based on the type of media in domestic wastewater treatment. The parameters measured are BOD, COD and PH. Anaerobic biofilter performance is determined by looking at the difference in levels before and after using the media. This research is a quasi-experimental research with one group pretest-posttest design. The sample of this study were 10 samples taken from repetition 3 times in one experiment, the process was done by a batch system. The results showed an average reduction in BOD on plastic sheet media by 84.76%, COD by 84.77%, PH by 32.3%. The average reduction in BOD in the stone medium was 80.57%, COD was 80.59%, PH was 29.66%. The average reduction in BOD in coconut shell charcoal media was 69.72%, COD was 77.84%, PH was24%.
Implementation of Quick UDP Internet Connections

With the advent of the Internet growth worldwide, we need to have a protocol which is faster and provides a better support for the following problems:&#x0D; &#x0D; Faster Connection Establishment Time&#x0D; Good Congestion Control&#x0D; Connection Migration&#x0D; Good Error Correction&#x0D; &#x0D; One of the key aspects taken under consideration was current scenario of connection establishment time whenever a website is requested and poor video buffering over existing Internet Connections.&#x0D; The prime objective is to create a proxy server which routes the incoming connection requests to QUIC supported libraries if the client supports QUIC. If the client does not support QUIC then it routes the incoming request to existing web server which can then handle the request using TCP. After creation of the proxy server a website has to be created using which we can test various aspects of the QUIC protocol.&#x0D; Keyword: Quick, Protocol, UDP, Network
Income Tax for Employees using Visual Basic and Access Database

In previous years, database applications were built in the form of a file system, but many disadvantages were found after that, such as: data replication , inconsistency while storing, difficulty in accessing data and need to write a new program to execute each new task in addition to isolating the data within multiple file formats ..... etc.All the above problems were solved by using database systems.This paper is an applied to demonstrate the effective role of the tax information system to establish and operate knowledge database as a knowledge management requirement by: the conceptualization of the income tax, knowledge management system and the development of the retirement information system.In this paper, the ACCESS database was created and linked with the Visual Basic language to calculate income tax of the employees.Where the information of employee is entered (such as the employee's name, number and social status as well as the nominal salary).The system has saved and modified information of employees , printing a report on one employee or more, as well as knowing the amount of tax that got from employees .
SCOL: similarity and credibility-based approach for opinion leaders detection in collaborative filtering-based recommender systems

Recommender systems (RSs) have recently gained significant attention from both research and industrial communities. These systems generate the recommendations of items in one of two ways, namely collaborative or content-based filtering. Collaborative filtering is a technique used by recommender systems in order to suggest to the user a set of items based on the opinions of other users who share with him the same preferences. One of the key issues in collaborative filtering systems (CFSs) is how to generate adequate recommendations for newcomers who rate only a small number of items, a problem known as cold start user. Another interesting problem is the cold start item when a new item is introduced in the system and cannot be recommended. In this paper, we present a clustering-based approach SCOL that aims to alleviate the cold start challenges; by identifying the most effective opinion leaders among the social network of the CFS. SCOL clustering focuses on the credibility and correlation similarity concepts.
KAJIAN METODE METODE STEGANOGRAFI PADA DOMAIN SPASIAL

This paper contains a review of the spatial domain steganographic literature. The purpose of this paper is to provide knowledge about techniques or methods that exist in the spatial domain of steganography. Steganography is the science or technique for hiding secret messages in other messages so that the existence of the secret message cannot be accessed by others who do not have authority. There are several popular spatial domains of steganographic techniques, namely LSB (Least Significant Bit), which is mapping secret message bits in the rightmost bit (LSB) of each color pixel and PVD (Pixel Value Differencing) which in this method offers a larger message storage capacity , with better image quality compared to other methods in the spatial domain. Because privacy issues continue to develop along with various digital communication technologies, and increasingly strong security threats, steganography can play a role in society to maintain the confidentiality of both picture, voice and video messages. For this reason it is important for us to be aware of steganographic technology and its implications.
Traduire l’environnement: prémisses méthodologiques et esquisse d’analyse d’un corpus d’ouvrages documentaires pour la jeunesse

In this article, we wish to introduce the research we are currently conducting on a parallel corpus of information books for children, translated from French into Italian. After defining this genre from both an editorial and an educational perspective, we shall focus on one of the works making up our corpus, La poubelle et le recyclage à petits pas, in order to highlight and discuss the strategies adopted in its Italian translation, La raccolta differenziata a piccoli passi. Building on such preliminary findings, we shall then attempt to advance a few suggestions about the possible developments to be expected from the study of the whole corpus and to outline its future direction.
Graph Regularized Non-negative Matrix Factorization with Long-tail Constraint

How to dig out long tail topics is a great challenge in text mining. In previous research, most of non-hierarchical topic models were based on a hypothesis that the topics in documents follow polynomial distribution, ignoring the topics at the tail of distribution curve. Hierarchical topic model have the ability to mine long tail topics by introducing the hierarchical relationship among topics, but leading to a higher computational complexity. In this article, we propose a new method to mine long tail topics, which is called graph regularized non-negative matrix factorization with long-tail constraint. It uses KL divergence to measure the difference between matrices, and use neighbor graph to preserve the intrinsic geometrical and discriminating structure between original samples in low-dimensional space. Experiment shows, the algorithm we proposed can mine more long tail topic information in document, and make improvement in the task of data mining, comparing to other method, such as classical dirichlet distribution, non-negative matrix, hierarchical matrix, hierarchical latent dirichlet distribution.
An Overview of the Challenges and Prospects in Developing Human Resources for Monodzukuri through Skills Competitions

The Ministry of Health, Labour and Welfare Japan has been implementing the Monodukuri human resources development policy through the consignment project of conducting various skills competitions. Monodukuri human resources development policy through the skills competitions expands the base of Monodukuri human resources and leads to “the improvement of the status of skilled workers” and “the development of Japanese economy”. In particular, the impact of winning medals by Japanese competitors at WorldSkills Competition becomes greater for the human resources development activities in Japan. To make various efforts to meet with the needs of globalizing labour market is necessary for the Ministry of Health, Labour and Welfare in the future.
Greining á orðanotkun í lesskilningsog náttúruvísindahlutum PISA 2018: Samanburður á íslensku þýðingunni og enska textanum

Markmið þessarar rannsóknar var að kanna samræmi í orðtíðni í íslenskum og enskum textum á lesskilnings- og náttúruvísindahluta PISA-prófanna 2018. Ef þýðing texta í alþjóðlegu prófi er þyngri eða léttari en sami texti á upprunalega málinu getur það haft áhrif á skilning og skekkt samanburð milli tungumála.Greindir voru tveir textar úr lesskilningshluta PISA 2018 og tveir úr náttúruvísindahlutanum. Notaður var orðtíðnilisti Íslenskrar risamálheildar og enskur orðtíðnilisti sem byggist á tveimur málheildum og er aðgengilegur í gegnum hugbúnaðinn VocabProfile. Orðin voru flokkuð eftir tíðni í fimm flokka. Ef munur var á tíðniflokki orða á íslensku og ensku var kannað hvort til væri samheiti fyrir íslenska orðið í sama tíðniflokki og það enska og lengd samheita borin saman.Niðurstöður benda til að hlutfall algengustu orða sé lægra í textum íslensku þýðingarinnar en í ensku frumtextunum og að hlutfall orða í flokki sjaldgæfustu orðanna sé umtalsvert hærra í íslensku textunum en þeim ensku. Þá virðist dreifing orða á milli orðtíðniflokka vera jafnari í ensku en íslensku þýðingunni. Fram komu vísbendingar um ákveðið ósamræmi og ójafnvægi sem fólst í að tveir þriðju hlutar þeirra íslensku orða, sem féllu í annan tíðniflokk en ensku orðin, voru sjaldgæfari en samsvarandi ensk orð. Í ljós kom að fækka hefði mátt orðum í ólíkum orðtíðniflokkum með því að nota íslenskt samheiti í sama orðtíðniflokki og enska orðið og að draga hefði mátt enn frekar úr ósamræminu með því að velja samheiti úr nærliggjandi tíðniflokki. Hlutfall íslenskra samheita sem voru algengari og lengri var yfir 30% í textunum fjórum. Niðurstöðurnar gefa tilefni til að endurskoða þurfi leiðbeiningar OECD og beina því til þýðenda að þeir taki mið af orðtíðnilistum við val á orðum.
Siamese Network for Visual Tracking via Focal Loss

Visual tracking is a fundamental problem in computer vision. Lots efforts have been made in the past decades and researchers have obtained some achievements, but there are still problems exist. To get a more powerful feature representation, deep learning based methods appear layer upon layer, and most of them achieve good performance at the price of losing speed. In this paper, we propose a SiamFL network for visual tracking, which introduce the focal loss with the Siamese network. With the focal loss, the network is capable of filtering out the easy examples, leaving the hard samples to train a discriminative network. Moreover, the SiamFL network also can alleviate the class imbalance problem by properly sampling the positive and negative samples at a certain ratio. Experimental results demonstrate the SimaFL has quick convergence and also have a better performance over the baseline tracker.
Means and methods of formation of organizational and managerial competence of a university teacher

The article reports the findings of the pilot research that investigates the development and testing of a system of tools and methods employed for formation of organizational and managerial competence of a university teacher. The tool for organizational and managerial competence formation analyzed herein is the additional professional program, i.e. “Educational Programs Management”, implemented at the Center for the Development of Professional Competencies of Samara University. The program is aimed at the development of organizational and managerial competence components (value-motivational, cognitive, design, expert), formation of students' readiness for effective interaction in the course of design and implementation of competitive educational programs. Educational Programs Management includes four sections: Economics of education: analysis and control of the financial and economic activities of higher educational organizations; Educational program management; Economics of educational program; The quality and competitiveness of the educational program. The content of sections and subsections of the program, training methods, ensuring the development of indicators of value-motivational, cognitive, design and expert components, were selected with due respect to the structure of the organizational and managerial competence being formed. It has been revealed that it is reasonable to use the methods as follows: ways of positive motivation formation (productive learning environment; diversity and inclusion; professional and personal achievements and accomplishments, etc.); interactive teaching methods (role-playing and business games, discussions, brainstorming, case studies, trainings, etc.); methods for the development of personal educational environment (the use of personal experience of teachers, self-reflection, self-knowledge, etc.). The research has confirmed the efficiency of the developed system of tools and methods under study, which has been developed for formation of organizational and managerial competence of university teachers based on the growth of the self-esteem index of its components and changes in the dominant indicators.