Reviewerly/exHarmony huggingface dataset:
Design of a trust system for e-commerce platforms based on quality dimensions for linked open datasets

This article describes a proposal about a trust system for e-commerce platform based on semantic web technologies and trust dimensions rules. We try to expose a system that allow to manage communication processes between e-commerce platforms and users in a trustworthy manner. It allows the data flows and transactions gain more trust across the entire process. All of this can be achieved through the inference of rules exposed in the defined ontology, complemented by a cloud-based system with microservices architecture. With the implementation of the system through an e-commerce platform, could consume data from the microservices in order to get inferences about its clients that want to buy or sell something within its system. This system was created based on rules defined by the ontology, as well as the microservices could be used to register information about multiple e-commerce transactions. The result of this work is the Ontology and semantic web rules defined and implemented through protege.
Distributed Computing

Abstract Distributed computing has been playing a significant role in current smart applications in various fields. In this chapter, we first briefly give a bird’s-eye view of this topic, introducing various programming paradigms. Next, we introduce Actor, an OCaml-based distributed computing engine, and how it works together with Owl. We then focus on one key element in distributed computing: the synchronization. We introduce four different types of synchronization methods or “barriers” that are commonly used in current systems. Next, we elaborate how these barriers are designed and provide illustrations from the theoretical perspective. Finally, we use evaluations to show the performance trade-offs in using different barriers.
Meningkatkan Keterampilan Mengungkapkan Monolog Descriptive Lisan Sederhana yang Berterima Menggunakan Sistem ICARE pada Siswa Kelas VII A MTs Muhammadiyah 2 Kalibening Banjarnegara Tahun Pelajaran 2020/2021

The key output of the teaching process is the material provided by the students themselves, therefore it is important to conduct research. The methodology used in this investigation is a class of investigative action. Methods of data collection using interviews, tests, observation, and documentation. Data validation using triangulation. Data analysis methods used in this research include quantitative analysis, especially reduction analysis, presentation, and conclusion or verification analysis. The results of this study indicate that: (1) teaching English uses the ICARE system to teach one continuous monologue that is descriptive in nature and includes four learning objectives: Introduce (Introduce), Connect (Connect), Apply (Apply), Reflect (Reflect), and Expand (Expand). (2) The results of Section I show that there are 16 or 43% of participants who have completed the course and 27 or 67% who have not; the overall participation rate was 68. In Part II,
The Granularity Paradigm in the Electroacoustic Music of Iannis Xenakis

"The cultural legacy left to us by composer Iannis Xenakis (1922–2001) is impressive and undoubtedly had a massive impact on some generations of musicians. His artistic ideal stands as proof. Fueled by science and engineering, his inheritance has been eagerly discussed in numerous books, studies, and doctoral theses. Our study underlines the viability of I. Xenakis’s compositional model. Xenakis painstakingly circumscribes scientific theories and laws in his method of composition in the instrumental and electroacoustic genres. We will emphasize the hypothesis that the granularity paradigm traverses his musical works Concret PH, Analogique B, and GENDY3. Keywords: Granularity paradigm, stochastic synthesis, random walk, architecture, mathematics, music "
Educational Computer Game and Their Implications on Early Children's Language Skill

Language is an important comunication tool for everyone, including for early childhood. With language, early childhood can express feelings, thoughts, share experiences and knowledge, and socialize. Therefore language skills need to be developed, especially tor early childhood. This research aims to determine the language development of early childhood through educational computer games at school, how the effect of educational computer games on the language skills for early childhood. This study is a pre-experimental method with the one group pretest-posttest design. The results showed that 56 % of early childhood language skills are influenced by educational computer games, while the remaining 44 % were influenced by other factors that were not the focus of this study, then there is a significant positive effect on language skills based on the educational computer games coefficient value (X) on language skills (Y) of 0.730 which indicates the direction of positive influence and based on the t-test, the results of tcount = 11.179 2.039 = ttable. Based on the results of the analysis, it can be concluded that there is an influence of educational computer games on early childhood language skills.
The Benefits of ICT Application on the Successful Implementation of Formal Education

This study discussed the problem of the advantages of ICT applications for the successful application of formal learning. We have carefully reviewed some kinds of literature involving a chronological approach, which includes analyzing data, testing data, evaluating and interpreting it until we get some crucial points, which include we get several technological applications, including argumentative reality, adaptive learning, artificial intelligence, robotic and automation, utilization of 5G advances in learning, and learning analytics. It is hoped that these findings will be helpful for further studies.
Deep Neural Networks

Abstract There are many articles teaching people how to build intelligent applications using different frameworks such as TensorFlow, PyTorch, etc. However, except those very professional research papers, very few articles can give us a comprehensive understanding on how to develop such frameworks. In this chapter, rather than just “casting spells,” we focus on explaining how to make the magic work in the first place. We will dissect the deep neural network module in Owl, then demonstrate how to assemble different building blocks to build a working framework. Owl’s neural network module is a full-featured DNN framework. You can define a neural network in a very compact and elegant way thanks to OCaml’s expressiveness. The DNN applications built on Owl can achieve state-of-the-art performance.
Seasonal Characteristic of Sky Conditions based on Clearness Index on Aceh Besar

Knowledge of the sky conditions in particular location is a fundamental to studies about climate and has applications for meteorology, industry, agriculture, architecture, engineering, studies of water resources development and solar energy conversion system. These conditions can be quantified by meteorological parameter such as the clearness index. Clearness index ( is defined as the ratio of global solar irradiance measured at ground level and its counterpart the extra – terrestrial radiation at the top of the atmosphere. In this study, seasonal characteristic of sky condition in Aceh Besar (05.4°S and 95.46°W) has been carried out using . One year (Jan 2020 – Dec 2020) measured data of daily average global radiation has been used to determines the daily and monthly variations of. The result shows that for daily averages, ranges from 0.19 to 0.70 with cloudy days are common days in Aceh Besar with hardly any very clear days. For monthly average, the month of January shows the highest (0.55), while November shows the lowest (0.41). Based on monthly averages of the daily, monthly percentage cumulative frequency, and climatic conditions, the sky condition in Aceh Besar is classified into two seasonal periods. The dry season (January – March and June – September) has values ranging between 0.44 and 0.55, while the wet season (April – May and October – December) has ranging between 0.44 and 0.45.
Investigating Efficiency in Public Project Management: A Preliminary Analysis with the Use of Fuzzy Cognitive Maps

During the last decade, the need for an effective and efficient public system has become increasingly important to many countries. For endemic reasons, private entities have always been deemed smarter and faster than public organizations. The present study reflects a first specific investigation of the so-called “public efficiency” related to the Public Project Management, collocating itself in the ground of the New Public Management. Given the nature of the subject, which is highly complex and considers various factors, the proposed scientific approach is the use of Fuzzy Cognitive Maps, a soft computing strategy for causal information acquisition supporting the reasoning process. The case study selected to accomplish this preliminary analysis concerns a public university in the center of Italy, focusing on the administrative process of approving of an R & D project proposal.
Examining Recommended Practices for Information System Development Projects and the Effect of Standardization Frameworks: An Empirical Study

This paper focuses on 18 well-known recommended practices for information system (IS) development projects to assess their relative dissemination and effectiveness and to examine the role of standardization frameworks in promoting them. Findings from a survey of 97 information technology (IT) professionals show that most of these practices tend to be adopted, that they are associated with higher chances of success in IS development projects and that software process improvement models, project management maturity models and formal development methodologies tend to promote such practices. Findings show however some notable exceptions that may require to refine this existing set of recommended practices. Implications for research and practice are discussed.
Analysis of the Influence of Meteorological Factor on Solar Irradiation Using DNN based Solar Irradiation Prediction

Photovoltaic power generation has a problem in that the operation of the electrical power system is unstable due to output variability caused by weather changes. To resolve the instability of the electrical power system, it is necessary to predict the amount of photovoltaic power generation. Since photovoltaic power generation is a power generation technology that converts sunlight into electricity, solar irradiation is mainly used to predict the amount of photovoltaic power generation. And meteorological factors that affect solar irradiation are used incidentally. However, it is difficult to determine which meteorological factors influence solar irradiation and to what extent. Therefore, this paper proposes a method to analyze the influence of meteorological factor on solar irradiation using DNN based solar irradiation prediction. Experimental results, it was confirmed that 5 cm underground temperature, ground temperature, cloud cover, temperature, sunshine duration, and humidity showed high influence on solar irradiation in order.
Vision-based rotational control of an agile observation satellite

Recent Earth observation satellites are now equipped with new instrument that allows image feedback in real-time. Problematic such as ground target tracking, moving or not, can now be addressed by precisely controlling the satellite attitude. In this paper, we propose to consider this problem using a visual servoing approach. While focusing on the target, the control scheme has also to take into account the satellite motion induced by its orbit, Earth rotational velocities, potential target own motion, but also rotational velocities and accelerations constraints of the system. We show the efficiency of our system using both simulation (considering real Earth image) and experiments on a robot that replicates actual high resolution satellite constraints.
ESTIMATION OF SHORT-TERM GLOBAL SOLAR RADIATION IN NORTHERN GHANA USING ANGSTROM-GARCIA MODEL

Data on monthly average daily global solar radiation are critical in the design and analysis of solar energy systems.Using data from the Lawra Solar Plant in Ghana's Upper West Region, a multiple regression model was developed to estimate the monthly average daily global solar radiation using the Angstrom-Garcia model.The parameters used were sunshine duration ratio, average maximum possible daily hours of sunshine and the difference between maximum and minimum temperature values.The model equation is given as ̅ ̅ 0 ⁄ = 0.15 + 0.426 ̅ ̅ ⁄ + 0.1392 ∆ ̅ ⁄ , which was found to be reliable; thus the equation can be employed for estimating global solar radiation of locations that have similar climate, latitude and altitude as Lawra.
ANALISIS PERANAN DAN KEGUNAAN SISTEM INFORMASI AKUNTANSI PADA PT KURNIA EKA NUSA YANG BERBASIS ACCURATE-DEKSTOP

An accounting information system is a collection of resources such as people and equipment that have been set up to manage and transform data into information. Accounting information systems are very important for all companies, both service companies, trading and manufacturing companies. Because besides being useful as a recording of the company's financial statements, it can also find out what the company's development is like every year. This study aims to determine the role and usefulness of the Accounting Information System used in managing financial data so that it is more effective at PT Kurnia Eka Nusa. In a company, the income and expenditure cycle is important. For economic growth, it can be seen from the two cycles. PT Kurnia Eka Nusa is a trading company engaged in industry and. Data collection methods used literature review and library research. The data source used is by conducting interviews with company owners, from an overview of the company, documents used by the company such as sales documents, travel documents, invoices in the company, organizational structure to job desks for each division and guidelines for company procedures regarding income and expenses. accounting information system. This case study shows that sales operations still have some deficiencies and companies can develop an accurate desktop system developed into an accurate online one to maximize system performance.
Deep Texture-adaptive Image Denoising for Practical Application

A deep texture adaptive denoising method is proposed to achieve high perceptual image quality. Textual information is learned through a designed loss function utilizing a pre-generated texture map to distinguish textual areas from flat areas. In the training process, the proposed network internally finds texture and flat regions and differs in denoising strength in the two regions. Unlike existing DNN-based denoising methods, the proposed method retains high-frequency textual information while removing residual noise in flat regions as much as possible. The gradient distribution of the image before and after the denoising was compared. The proposed method outperformed the existing methods with higher PSNR and SSIM scores in visual quality. In addition, the strength of removing textual noise was controllable with a single parameter. Thus, the proposed method is practically feasible as a denoising apparatus.
A Parallax Image Mosaic Method for Low Altitude Aerial Photography with Artifact and Distortion Suppression

In this paper, we propose an aerial images stitching method based on an as-projective-as-possible (APAP) algorithm, aiming at the problem artifacts, distortions, or stitching failure due to fewer feature points for multispectral aerial image with certain parallax. Our method incorporates accelerated nonlinear diffusion algorithm (AKAZE) into APAP algorithm. First, we use the fast and stable AKAZE to extract the feature points of aerial images, and then, based on the registration model of the APAP algorithm, we add line protection constraints, global similarity constraints, and local similarity constraints to protect the image structure information, to produce a panorama. Experimental results on several datasets demonstrate that proposed method is effective when dealing with multispectral aerial images. Our method can suppress artifacts, distortions, and reduce incomplete splicing. Compared with state-of-the-art image stitching methods, including APAP and adaptive as-natural-as-possible image stitching (AANAP), and two of the most popular UAV image stitching tools, Pix4D and OpenDroneMap (ODM), our method achieves them both quantitatively and qualitatively.
Trajectory Generator

In the previous chapters, we have learned how to describe a path geometrically, by means of parametric equations. Now, we need to learn how to let the robot run along those curves.
Path-Planning

A path is the geometrical description of the robot’s movement in space. Given two points A and B, there are many different (actually infinite) possible paths to connect them. A straight line is the simplest path, but any kind of other curve could be programmed (see Figure 5-1).
An Applied of Reward and Punishment Approach in English Learning Classroom

This study aimed to describe an applied of reward and punishment in the learning process.The objectives of the study were to describe the application of reward and punishment in learning English at eight grades SMP Swasta Dharma Pancasila Medan, to describe students' responses to the implementation of rewards and punishments in learning English at eight grades SMP Swasta Dharma Pancasila Medan.This study used descriptive qualitative research design.The data of this study was result of observation and questionnaire.The source of the data was eight grade students at SMP Swasta Dharma Pancasila Medan.The researcher is the key instrument of this research and questionnaire sheet as supporting instrument.The results of the study, there were some kinds of reward and punishment that were applied by teacher in the classroom, such as giving several gift, giving applause, giving expressions, and giving points from the teacher to students (reward), and giving warning expressions, singing in front of the class, and squatting (punishment).
Pengggunaan Metode Guided Note Taking dalam Peningkatan Pembelajaran PAI

The purpose this research in increasing Islamic ecucation zakat and whole number in the students class VI of SD Negeri Karangjambu by using Guided Note Taking. The type of this research is Classroom Action Research (CAR) during 3 cycles, each cycle includes of planning, implementation, observation, and reflection. As sample is students class VI of SD Negeri Karangjambu, it includes 22 students. Technique of collecting data is used observation, interview, test, and documentation. The result shows that using Guided Note Taking could increase Islamic ecucation zakat and whole number.
A Study on the Method of Phased Approach and the Expected Effect of Education in Creative Writing by Using &lt;Reading Competition&gt; - with the Focus of an Application in College Institute -

The purpose of this study is to design a step-by-step approach to creative writing education in junior colleges and to share educational outcomes. As "recruitment of students" and "employment rate of graduates" are directly related to the school''s existence, it is virtually very difficult to include regular subjects based on writing within a limited educational period of a vocational college consisting of two or three years. Looking at the studies so far, there are many cases of model research and application to ''creative writing'' in university education. However, since most of the studies are the results derived based on four-year universities, it is difficult to find studies focusing on writing education methods, especially specific application plans, in junior colleges. This study shared the writing curriculum using the "in-school reading competition" conducted by A junior college in Korea and discussed the expected effect based on the "university writing" class, which is mainly arranged with two credits among most junior college curriculums. Students participated in a reading contest by utilizing task scores within regular subjects and went through a three-week preparation process with the instructor. Through this process, there was a positive educational achievement in acquiring an approach to writing and a creative writing method, and students'' satisfaction was also very high. It is not limited to the division of writing, but the professor checks all the processes of book selection, preparation, and actual writing during class, and at the same time, feedback in the preparation process before writing alleviates learners'' fear of writing, and based on active thinking, finished works were derived through reading activities. Through the results of this study, it will be able to be used in related lectures at each vocational university. In particular, it is a model that can be applied immediately to lecture time, and it can be implemented without burden, and the number of hours required out of the total number of hours is about 4 hours, and for two credit classes, it is two to three weeks. This is a very reasonable and efficient plan that can be implemented in junior college, and at the same time, it is expected to have high expectations in terms of performance.
Development of a Framework for Continual Learning in Industrial Robotics

Continual learning (CL) is a machine learning (ML) paradigm for learning continually from non-stationary data streams while simultaneously transferring and protecting past knowledge. Therefore, CL avoids catastrophic forgetting, a common problem that arises when training ML-models on new data. This paper presents a CL framework for data-driven learning of the dynamics model of a 6-degree-of-freedom serial industrial robot. This model can be used for model-based control algorithms, without the need for extensive identification of robot specific parameters such as mass inertia, and can additionally model complex effects such as friction. Furthermore, using CL, it can adapt to changes of the robot e.g., due to wear or new tasks. With the help of CL, the ML-based dynamics model is continually fed new data and improves over the operating period of the robot.
Analisis Literasi Media Digital Ditinjau Dari Aspek Individual Competence Pada Guru Smk Sasmita Jaya Tangerang Selatan

ABSTRACTThe purpose of this study is to determine the teacher's understanding of digital media and to determine the level of individual competence of teachers at SMK Sasmita Jaya in digital media literacy. The approach used in this research is a quantitative approach with a survey methodology. Analysis of the data used in the form of descriptive statistics that describe the teacher's understanding of digital media and the level of individual competence. The results of the study found that the teacher's understanding of digital media literacy was in the medium category. The questionnaire instrument shows that the teachers of SMK Sasmita already have and are able to use the device actively and use it even &gt;5 hours every day. However, this has not been used optimally in teaching and learning activities such as making teaching materials, learning media, and utilizing social media as a means of delivering information to students. Meanwhile, from the aspect of the category of Individual competence possessed by teachers, it has entered high. One aspect that becomes an important point is the teacher's ability to use the internet in his life. This also applies to a teacher who is a professional educator with competencies that must be possessed, one of which is adapting to technology.Keywords: Literacy; digital media; individual competence
Practical training as a factor of student’s professional adaptation

The requirements to the practical training of students set under the federal laws and their realization are examined, i. e. general curriculum including lectures, seminars, practicals, course and graduate qualification works, field internship. The focus is also made on the extra-curricular activities, e.g. volunteering, involvement in projects, creative endeavours, aimed at developing professional competences in students.