Reviewerly/exHarmony huggingface dataset:
Research on the Fusion of Power Grid Data and Urban Facilities Data

The three-dimensional design of power grid infrastructures needs to consider their adjacent urban facilities, including industrial and civil buildings and tunnels, roads, pipelines, and etc. Therefore, in order to realize the integration of the three-dimensional design model of the power grid and the BIM model of those urban infrastructures, this paper attempts to establish the information model classification and coding method to unify the representation methodology of concepts and technologies of multi-industry infrastructures. The developed data format conversion method and data lightweighting method can be utilized to better integrate the three-dimensional design results of the power grid project with the BIM data of the urban infrastructures, and then these digitalized results of the multi-industry facilities can be used to improve the life-cycle management of the power grid engineering projects.
Perceptual Quality Enhancement with Multi-scale Deep Learning for Video Transmission: A QoE Perspective

With the development of mobile Internet technologies, wireless communication is facing huge challenges under the explosive growth of multimedia data, e.g. video conferences, online education. This makes it difficult to guarantee the communication quality where communication resources (bandwidth, channel, etc.) are limited. In this paper, we propose an image enhancement method to transform blurred images into images with high perceptual quality. The proposed method serves as a post-processing part for communication systems and is incorporated into the receiver. Specifically, we learn the prior of high quality images using a collected dataset. We train a neural network to accomplish this task and adopt a multi-scale perceptual loss as the objective, which is more consistent with the quality of experience (QoE). To validate the proposed method, we train our model on a large dataset with both blurred images and high quality images. Experimental results show that, using a pre-collected dataset with high quality images, the proposed approach can effectively restore the blurred images.
Monitoring of moving objects in the absence of a GSM signal

Many modern transport processes require constant on-line monitoring and management. However, the main difficulty lies in the lack of a stable GSM connection. One of the possible solutions to this issue is the use of MESH networks. These represent the possibility of wireless communication between multiple entities, which are nodes on a distributed network. The article presents the results of the development of original local radio modules and a base station to ensure uninterrupted transmission of digital data from the monitoring object, in conditions of insufficient GSM coverage. The complex provides the following operating modes: simple interaction via a GSM channel, data transmission via a self-organizing network, as well as sensory interaction between objects. In the absence of GSM communication, the repeater provides on-line data transmission from the monitoring object, at a distance of up to 860 m, at a distance from the base station - at least 500 m. The use of the new complex makes it possible to promptly respond to changes in operating factors and prevent emergency situations during the operation of vehicles.
PENGARUH KUALITAS PELAYANAN TERHADAP KEPUASAN PENGUNJUNG PERPUSTAKAAN PADA KANTOR BADAN PERENCANAAN PEMBANGUNAN DAERAH (BAPPEDA) PROVINSI KALIMANTAN TIMUR

The purposes of this research was determine the effect of each indicators of tangibles, reliability, responsiveness, assurance, and empathy on the satisfaction of library visitors either partially or simultaneously . This research was conducted in the library of the East Kalimantan Regional Development Planning Agency (Bappeda) office, on Kesuma Bangsa Street Number 2 Samarinda which is located on the 2nd floor of the PUSIDO building area of the East Kalimantan Province Bappeda office. The method used in this research is descriptive research method through a quantitative approach using multiple linear regression analysis tools. The research data source is primary data through distributing questionnaires to 87 respondents of visitors to the library of Bappeda East Kalimantan Province . The results of the analysis and calculations show the effect of service quality partially with indicators of tangibles, reliability, assurance has a positive and insignificant effect, responsiveness has a significant positive effect, and empathy has a negative and insignificant effect on visitor satisfaction at the Bappeda library of East Kalimantan Province . Simultaneously, the five service indicators have a significant positive effect on visitor satisfaction at the Bappeda library of East Kalimantan Provinc
A contextual semi assisted project-based learning (SA-PjBL) about ocean wave energy: Creative thinking of pre-service physics teachers

One of the factors that have become an obstacle in the development of techno-logy to use ocean wave energy as a renewable energy source is the lack of human resources who have expertise in this field. Therefore, in the long term, it is necessary to introduce basic knowledge to the young generation about wave energy and other renew-able energies and even must equip them with important skills such as creative thinking skills. This study aims to introduce students to how to utilize ocean waves as renewable energy while at the same time developing student creative thinking skills through semi-assisted project-based learning. This type of research is weak experiment research with one group pretest-posttest design research. The research was conducted on 31 pre-service physics physics teachers who were taking environmental physics lectures at a teacher training university in West Nusa Tenggara. The performance appraisal data were analyzed descriptively while the test result data were analyzed using the N-gain and the Wilcoxon test. Based on the results of data analysis, it was obtained &lt;g&gt; = 0.725, which means that there was a high increase in students' mastery of the concept of using ocean waves as a renewable energy source. In addition, the results of the performance appraisal data (score &gt; 3) indicated that at each stage of learning, students were provided with indicators of creative thinking skills with very satisfied categories. Therefore, it can be concluded that environmental physics lectures using semi-assisted project-based learning able to improve students' mastery of concepts and creative thinking skills.
Exploration of Vocational University English Teaching Reform Oriented by Occupational Demand

English is the compulsory public basic course for higher vocational education, which cultivates students' basic ability to use English in a workplace environment.The English teaching of vocational colleges is oriented to occupational demand, breaking the traditional teaching system concept, and deeply comprehending the direction of teaching reform in the new era.Aiming at the problems of "teaching content and occupational demand are out of touch, practical teaching links are only formal, lack of effective integration with ideological and political education, traditional teaching models are facing new challenges" and other problems in English teaching, the occupational demand-oriented English teaching reform measures are proposed: strive for a high degree of compatibility between English teaching content and occupational demand, carry out occupational demand-oriented English teaching evaluation, implement hierarchical teaching according to students' English level and occupational demand, carry out English self-learning to improve matching with occupational demand, and develop English practical teaching based on the integration of production and education.
Moderating Interact of Artificial Intelligence Use in The Influences of Recruitment, Selection, and Staffing on The Organizational Performance in the UAE Manufacturing Industry

The aim of the study is to examine the impact of employee recruitment, employee selection, and employee staffing on the organization's performance, besides the moderating impacts of artificial intelligence in the UAE manufacturing industry. The research framework illustrates the relationships between the exogenous variables (employee recruitment, employee selection, employee staffing, and artificial intelligence as a moderator) and the endogenous variable organization performance. The target or study population chosen for this research work equates to the total number of employees working in any firm in the UAE manufacturing industries and willing to respond to the questionnaire during data collection. The actual sample size is 382 employees. The distributed survey is 524, which is distributed by using face-to-face data collection methods in a convenient sample selection technique in 2019. Overall, the model is successful because it can predict 41.3% of the organization's performance and the direct relationships for the three predictors of HRM practices are significant. The precedence for the relations based on the path coefficient value is employee recruitment (0.334), employee selection (0.297), and employee staffing (0.278). For the moderating relationships of artificial intelligence, two interactions have a significant positive interaction; employee selection (0.108) and employee recruitment (0.098); but the Employee Staffing (EST) has no significant change based on artificial intelligence.
THE USE OF ADVERTISEMENT BILLBOARD AS A MEDIA TO IMPROV THE STUDENTS TRANSLATION ABILITY AT SMK TRITECH INFORMATIKA MEDAN

This research was conducted to know and proving that The Advertisement Billboard can improve students’ translation mastery in learning English for a month researching. The subjects of this research were seventh grade students of SMK Tritech Informatika Medan in academic year of 2020/2021 that consisted of 20 students. This research was conducted by using classroom action research. This research was used pre-test and post-test data, interview sheet, observation sheet, diary notes, and documentation.The result of this research showed that there was an improvement of students’ vocabulary mastery. It could be seen by the mean of the pre-test was 56, the mean of the first cycle was 69.4, and the mean of second cycle was 83.6, these results mean showed that the mean in second cycle were better than the first cycle. The percentage of students who got point > 70 up also grew up. In the pre-test, there was nobody got point 70 up (0%). In the post-test I of cycle I, the result is good enough because the students who got point > 70 up there were 8 students (40%) . It means that there was a good improvement about 23.92%. In the post-test II of cycle II, students who got point 70 up were 20 students ( 100%) and the improving was about 25.36%. For the total score of students’ improvement from pre-test to post-test of cycle II was 49.28%. In other words, the students’ vocabulary mastery has improved from the first meeting to the next one. For the hypothesis testing, it was used t-test formula from the computation, it could be seen that coefficient of t-table (2.09) with fact level α = 0.05 was 8.04 in the coefficient of t- observation (8.04) > t-table (2.09). Thus, alternative hypothesis (H a ) stating that The Advertisement Billboard as a media improved students’ translation mastery can be accepted and could make the class become alive, active and fun properly. Keyword : Advertisement Billboard, Students’ Translation Mastery
Pelatihan Peningkatan Skill Perawatan dan Perbaikan TV LED Bagi Siswa SMK Karya Beringin Kota Lhokseumawe

Beringin Vocational School is one of the private Vocational Schools in Lhokseumawe City. As a private sector with limited laboratory, but student competency must not be low. Problems such as limited teacher skills and limited laboratory equipment will cause students' skills and skills to be low. The target training activities of this activity are: improving students' competencies and skills. The method in this activity is divided into 2 (two), namely: theory and practice of the maintenance and repair of LED TVs. Time allocation for theory is 40% and time allocation for practice is 60% of the total time provided, namely 10 meetings. The results obtained are an increase in student skills where before training the average value of the theory 50 increased to 90 after training. And the value of practice before training is 40 and increased to 90 after training.
Curvature and the Electromagnetic Field

Maxwell’s equations are derived from the curvature tensor and a vector potential.  The results are combined with Einstein’s equations.  Complete solutions to the resulting equation yield simultaneous solutions to both Einstein’s and Maxwell’s equations. This is a classical theoretical unification of electromagnetism and gravitation.
Penerapan Model Pembelajaran Student Teams Achievement Division (STAD) untuk Meningkatkan Hasil Belajar Limit bagi Siswa Kelas XI MIPA 1 SMAN 3 Magelang

The purpose of this study is to describe the improvement of learning outcomes through the application of the Student Teams Achievement Division (STAD) Learning Model on the Limit material for students of class XI MIPA.1 SMAN 3 Magelang, the subject of the research is class XI MIPA 1 SMA Negeri 3 Magelang, with a total of 30 students. with details of 14 men and 16 women. This study uses a Classroom Action Research (CAR) approach with 2 cycles, this research was conducted as an effort to overcome the low learning outcomes. The object of research in this classroom action research are various activities that occur in the classroom during the learning process. Data collection techniques were carried out by observation, interviews, tests and documentation. While the data analysis used was descriptive qualitative and quantitative analysis. The results of this study show . the application of the Student Teams Achievement Division (STAD) learning method in Limit learning can improve student learning outcomes. The results of the student motivation questionnaire before the action (Pre-cycle) with a score of 46.11 with a less category increased to 60.56 with a sufficient category in the first cycle and increased to 84.44 with good category in cycle II. Learning outcomes before the action mean the value of 68.75 with 43.44% completeness learning to 77.83 with 66.67% learning completeness in the first cycle and becomes 85.28 with 80% completeness in the second cycle. The increase in learning mastery is Cycle I increased by 23.23% from Pre-cycle, while Cycle II increased 13.33% from Cycle I. Thus, the improvement of student learning outcomes through the application of the Student Teams Achievement Division (STAD) learning model can be proven true.
A STUDY ON THE ABILITY OF READING COMPREHENSION (Case Study at Escola de Hospitalidade e Turismo Becora-Dili)

Reading Comprehension, Ability, and Study The aims are to find out the student’s ability to answer the question based on the reading comprehension text, and to know the students' levels in reading comprehension text. These theories are related to the teaching-learning process. This study adopted a qualitative method and the research took place at the first-grade students of Escola de Hospitalidade e Turismo, Becora - Dili with any problems about the students’ ability to answer the question based on the reading comprehension text and which levels of student’s ability using reading comprehension text. This study was conducted with the 20 students of first-grade students of Escola de Hospitalidade e Turismo and administered 25 number questionnaires with consists of four items. They are 10 multiple choice text, 5 number Answer Questions based on the reading text, 5 numbers matching test with verbs in the left side, and 5 number of true and false. From the questions delivered, the administrated with a result of the test was tabulated and analyzed that the first-grade students can answer them based on the reading comprehension test. Their level of reading comprehension ability is 9,1 which is classified at an excellent level. Finally, the students of the first grade of Escola de Hospitalidade e Turismo Becora – Dili in excellent level in subject reading comprehension with passed on the national recommendation for English subject 5 and the result of this research is 9,1.
Ontologies Cooperation to Model the Needs of Disabled Persons

In French society, many aids are proposed for each kind of population. In the particular case of disabled persons, it is quite difficult to deal with all the different information coming from heterogeneous contexts. Such different knowledge cannot be directly integrated, so we propose to build ontologies for each aspect. Then, we manage the cooperation of these distributed ontologies through a relational structure. Finally, to ensure the representation of the guidance interactive process, we model a workflow to follow through the successive steps of an individual file. This file will go with the disabled person, first with its own information, then with some administrative information and lastly with service propositions. The process is recursive allowing a better long-term assistance monitoring.
Multiple Plane Fitting Algorithm to Evaluate the Accuracy of 3D Point Cloud Using Structured Light Measurement

3D shape measurement by structured light is a high-speed method and capable of profiling complex surfaces. In particular, the processing of measuring data also greatly affects the accuracy of obtained point clouds. In this paper, an algorithm to detect multiple planes on point cloud data was developed based on RANSAC algorithm to evaluate the accuracy of point cloud measured by structural light. To evaluate the accuracy of the point cloud obtained, two-step height parts are used. The planes are detected and the distance between them needs to be measured with high accuracy. Therefore, the distance measurement data between the planes found in the point cloud is compared with the data measured by CMM measurement. The experimental results have shown that the proposed algorithm can identify multiple planes at the same time with a maximum standard deviation of 0.068 (mm) and the maximum relative error is 1.46%.
Improving Students’ Ability In Using Preposition Of Place Through Direction dialogue

This research was aimed to know whether the students’ ability in using preposition of place could be improved through direction dialogue. This research was conducted by using Classroom Action Research (CAR) to solve students’ problem in understanding preposition of place. This investigate was be held in two cycles in which each consisted of planning, acting, observing, and reflecting. The subject of this research was the tenth grade students of SMK Harapan Mekar 2 Medan 2019/2020 academic years which consisted of 41 students. The data were gathered through quantitative and qualitative data. The result of this research showed that there was increasing of students’ English grammar in using preposition of place. The mean of pre-test was 52. The mean of the first post-test was 72.75. The mean of the second post-test was 84.02. It indicated that the scores and the mean in second cycle were better than the first cycle. The percentage of students who got point >75 also grew up. In the pre-test, the students who got point >75 up were 9 students (19.51%). In the post-test of cycle I the students who got point >75 up were 22 students (53.65%). The post-test of cycle II, the students who got point >75 were 34 students (82.92%). In other words, the students’ English grammar in using preposition of place improved and became well in the first meeting to the next meeting.
A Comprehensive Study for Different Types of CAPTCHA Methods and Various Attacks

Due to the growth of the internet in our life and its importance in all our everyday activities , including occupational and educational ones .We should also keep in mind that it harbors a negative aspect , as it brings security problems. Hence CAPTCHAs are used for making systems more secure. The major role of CAPTCHA is to prevent robotic bot (spam) form surrender or prove user personality. Using a pattern-matching algorithm is necessary for the user for comparison by receiving signs founded in similar matches. This method makes it difficult to get a forbidden access to data, since malicious bot is to spy out signs in the image. This mechanism implements actions on the attitude of user gesticulation which makes it distinguishable and secure. Human-Computer Interaction i.e. interaction between computer and individual is made to make it easy in understand human language .On other words, Human-computer Interaction focuses on the study of interfaces between computer and human. This paper presents a comprehensive study of various different types of CAPTCHA, the ones good in securing webpages. It also discusses the strengths and weaknesses of each one. Moreover, its importance in discerning the user’s individuality, the behavior of humans, and bots and the paper will illustrate some CAPTCHAs mechaniits and impairments which allows hackers to break .In addition, is necessary to take into consideration the approaches of building a good CAPTCHA.
How Digital Communication Accelerated and Internationalized the MSMEs During Covid-19

The COVID-19 pandemic urged the implementation of new corporate digital strategies which are, in fact, no longer an option but compulsory. Given the context, this study aims to raise the following question: Are the micro and small companies matured enough to face the challenges of digital transformation due to the Covid-19 pandemic? This study has an exploratory approach in order to answer this intriguing question which seems to be a global concern. Data were collected by applying online questionnaires to 256 managers of micro and small enterprises in the state of Bahia, Brazil. The main findings showed that half (50,2%) of respondents considered their enterprises to be in a medium level of digital maturity and 39.13% considered themselves highly prepared to face the challenges of digital transformation due to the Covid-19 pandemic. Also, the study showed that it seems to be an inversely proportional relation between managers’ age range and level of digital maturity of companies. Yo...
Content Recommendation on Small Scale Sparse Social Network

Small scale social network platforms suffer from increased sparsity, both in the size of text posted by users and the number of posts, as well as the specific nature of kurtosis that affects all platforms, yet more so on an emerging platform. In this work we examine a dataset from such a platform, where the majority of the activity is in the form of user generated text; both posted content and comments left on those posts. We inquire into what techniques would present suitable recommendations for a platform with a similar characteristic dataset. We evaluate leading textual analysis techniques and show how topic-model based techniques present a viable means for recommendation on such a platform as compared to other simpler, or more advanced techniques.