Reviewerly/exHarmony huggingface dataset:
Self-supervised Chinese font generation based on square-block transformation

The generation of Chinese fonts has attracted much attention due to its wide range of applications such as artistic font generation, personalized font design, and calligraphy generation. The predominated Chinese font generation methods are mainly based on unpaired data and deep generative models such as generative adversarial networks. However, the existing deep methods for Chinese font generation commonly ignore the special structure information of Chinese characters, resulting in the lack of guidance during the feature extraction, and usually suffer from the mode collapse issue during the training procedure. Thus, the generation quality of Chinese characters needs to be improved.In order to solve this problem, this paper proposes a squared-block transformation-based self-supervised method to guide the model network to extract features with higher quality, and thus the proposed method significantly improves the performance on the generation of Chinese character fonts. It should be pointed out that the suggested squared-block geometric transformation does not require any modification of existing model networks and any additional human-labor cost. Thus, it can be adapted to many existing deep generative models for Chinese font generation. The effectiveness of the suggested self-supervised method is demonstrated by a series of experiments.The experiment results show that when equipped with the suggested squared-block transformation-based method, the popular CycleGAN-based deep model for Chinese font generation can significantly improve the quality of generated characters and stabilize the training procedure, while reducing the mode collapse.Moreover, when compared to other existing deep methods, the proposed method also outperforms them in terms of four evaluation metrics such as the content accuracy, FID, $L_1$ loss, and IOU, as well as the quality of generated characters.
Decision Support System for Accepting Social Assistance for the Program Keluarga Harapan (PKH)

Cibangkong Village is one of the villages in Pekuncen District, Banyumas Regency. The number of recipients of PKH cards (Program Keluarga Harapan) is 253 families, data on KPM (Beneficiary Families) prospective recipients of BPNT (Non-Cash Food Assistance) are 278 families, and data for recipients of BLT (Direct Cash Assistance) village funds are 217 people (source Cibangkong Village in 2021). With so many recipients of this assistance, village officials encountered several obstacles, one of which was that the recipients were not eligible to receive assistance. This needs to be handled, one of which is by creating a Decision Support System that can assist village officials in overcoming these problems. Decision Support System (DSS) is a system that can assist a person in making accurate and targeted decisions. This study aims to produce a Decision Support System for receiving social assistance from the Family Hope Program (PKH) in Cibangkong village. This research uses the Multi Attribute Utility Theory (MAUT) method. The result of this research is that the making of a decision support system for receiving social assistance for the Family Hope Program (PHK) in Cibangkong village can be used as a tool by the Cibangkong village apparatus to consider the feasibility of prospective recipients of PKH social assistance. The criteria used in the Decision Support System for receiving social assistance from the Family Hope Program (PHK) in Cibangkong village are 12, namely income, savings, consuming meat, milk and chicken, ability to pay for treatment, education of the head of the family, building area, type of floor, house walls , latrines/WC, lighting sources, drinking water sources, and cooking fuel.
Investigation Framework for Cloud Forensics using Dynamic Genetic-based Clustering

Cloud computing allows a pool of resources, such as storage, computation power, communication bandwidth, to be shared and accessed by many users from different locations.High dependency on sharing resources among different cloud users allows some attacker to hide and commit crimes using cloud resources and as a result, cloud computing forensics become essential.Many solutions and frameworks for cloud computing forensics have been developed to deal with could based crimes.However, many problems and issues face the proposed solutions and frameworks.In this paper, a new framework for cloud computing forensics is proposed to enhance the investigation process performance and accuracy by adding a new stage to conventional stages.This new stage includes the implementation of a new way for matching based on the LSH algorithm.The proposed framework evaluation results show an improvement for matching and accurate cluster retrieval through the collection process.
Face Detection and Recognition from Real Time Video or Recoded Video using Haar Features with Viola Jones Algorithm and Eigenface Approach with PCA.

Looking at somebody's face is one of the easiest methods to figure out who they are.Face detection, which occurs incredibly rapidly in humans except when the object is positioned at a short distance away, and introduction, which recognizes a face as an individual by using a person's characteristics to identify who they are, are the two main phases of the human face recognition procedure.In our proposed research, we have used Haar Features with Viola-Jones algorithm for face detection and Eigenface approach with Principal Component Analysis (PCA) for face recognition.The major objective of this proposed research method is to analyze faces to detect and also recognize the unknown faces from real-time webcam or recorded video.If our method successfully detects and recognizes unknown faces with competent accuracy, we will be able to prevent future crimes through precautionary measures.
Learning Camera Control in Dynamic Scenes from Limited Demonstrations

Abstract In this work, we present our strategy for camera control in dynamic scenes with multiple people (sports teams). We learn a generic model of the player dynamics offline in simulation. We use only a few sparse demonstrations of a user's camera control policy to learn a reward function to drive camera motion in an ongoing dynamic scene. Key to our approach is the creation of a low‐dimensional representation of the scene dynamics which is independent of the environment action and rewards, which enables learning the reward function using only a small number of examples. We cast the user‐specific control objective as an inverse reinforcement learning problem, aiming to learn an expert's intention from a small number of demonstrations. The learned reward function is used in combination with a visual model predictive controller (MPC). We learn a generic scene dynamics model that is agnostic to the user‐specific reward, enabling reusing the same dynamics model for different camera control policies. We show the effectiveness of our method on simulated and real soccer matches.
Laptop Price Prediction using Machine Learning

This paper presents a Laptop price prediction system by using the supervised machine learning technique. The research uses multiple linear regression as the machine learning prediction method which offered 81% prediction precision. Using multiple linear regression, there are multiple independent variables but one and only one dependent variable whose actual and predicted values are compared to find precision of results. This paper proposes a system where price is dependent variable which is predicted, and this price is derived from factors like Laptop’s model, RAM, ROM (HDD/SSD), GPU, CPU, IPS Display, and Touch Screen.
Knock Knock, Who’s There: Facial Recognition using CNN-based Classifiers

Artificial intelligence (AI) has captured the public's imagination.Performance gains in computing hardware, and the ubiquity of data have enabled new innovations in the field.In 2014, Facebook's DeepFace AI took the facial recognition industry by storm with its splendid performance on image recognition.While newer models exist, DeepFace was the first to achieve near-human level performance.To better understand how this breakthrough performance was achieved, we developed our own facial image detection models.In this paper, we developed and evaluated six Convolutional Neural Net (CNN) models inspired by the DeepFace architecture to explore facial feature identification.This research made use of the You Tube Faces (YTF) dataset which included 621,126 images consisting of 1,595 identities.Three models leveraged pretrained layers from VGG16 and InceptionResNetV2, whereas the other three did not.Our best model achieved a 84.6% accuracy on the test dataset.
Application of Augmented Reality Technology with the Fuzzy Logic Method as an Online Physical Education Lecture Method in the New Normal Era

This research aims to create Augmented Reality about basic physics practicum tutorials on the Sound Wave Resonance module in the Department of Computer Systems at the Universitas Komputer Indonesia (UNIKOM) based on Android. The advantages of this technology can be used as a medium of online learning if there is an emergency that results in not implementing conventional learning so that learning activities remain effective. This application program is intended to facilitate the Lecturer / Laboratory Assistant in presenting the material as well as attracting student learning interest in practicum learning. The method used in this study was a qualitative method by describing the condition of the Basic Physics Laboratory in the computer engineering department, and the system development method used is the paradigm method, Waterfall. Data was collected through interviews with the Chair of the Basic Physics Laboratory. This study results obtained an information system that allows the practitioner to compare the calculations' results mathematically with the application, and practicum can understand the material easily and fun.
Application of Cobit Freamwork 4.1 Method in Information Technology Audit

To Fine the performance of information technology that can easily make decisions, so that the performance of the technology used is more effective and efficient, it is necessary to carry out an information technology audit at the BPKAD office. In this study, the standard used is COBIT 4.1, Using the calculation of the Maturity Level which represents the level of technology alignment information and objectives of the Agency. The calculation of the Maturity Level value will be carried out in the Acquire and Implement (AI2, AI3, AI4, AI5) and Deliver and Support (DS7, DS10, DS12, DS13) domains. The BPKAD office already uses information technology in every process of its activities. The overall results in the agency reached level 4 (Managed). From the level results obtained, recommendations were made that could be applied by the BPKAD office to reach the desired level, namely level 5 (Optimized) so that it could support the performance of the agency to be even better in terms of information technology
Impact of Social Media on EFL Writing Learning

Writing is an important skill in language learning, which needs careful attention and planning to attain mastery and desired proficiency.The development of technology has altered the ways of language instruction.People's interactions have become so close as a result of social media that it appears we have become socially interconnected.The purpose of the present study was to explore the impact of Facebook on the development of the writing skill of EFL learners.The study used a quasiexperimental design to gather the data form control and experimental group.42 EFL learners were the participants of the study.Preformed intact groups were assigned to control and experimental group.Data was collected through a writing paragraph and scoring was done using rubrics to quantify the results.SPPS 22 was used to analyze the data.The findings of the research indicated that Facebook has developed writing competence.They study suggest that the use of social media can foster learners' writing skill.
Factors Affecting School Teachers' Satisfaction with Online Classes during the Outbreak of COVID-19

Many research studies have been conducted to understand the end-users satisfaction with online teaching. Yet, there are scarce studies focused on the teachers' satisfaction with online classes. This research aims to study factors affecting teachers' satisfaction with online teaching systems. To this purpose, an extended Technology Acceptance Model (TAM) is proposed in this study. The possible correlation among variables and whether or if there are gender disparities were also examined. An online questionnaire was deployed using Google forms, and 330 teachers filled out the questionnaire. Structural Equation Modeling (SEM) was used to conduct the path analysis and test hypotheses. A multi-group analysis was conducted to investigate whether gender was related to teacher satisfaction with online education. There were three key results. First, perceived usefulness, ease of use, and self-efficacy directly influenced teachers' satisfaction with online teaching. Second, personal innovativeness indirectly impacted teachers' satisfaction through perceived usefulness and perceived ease of use. Third, gender did not affect the eight hypotheses. This research has theoretical implications since it contributes to the study of online education satisfaction by extending the TAM model to examine the factors affecting teachers' satisfaction with online teaching. This research also has practical implications in that it may be used as a reference for school administrators, online learning system designers, and decision-makers.
Digital Literacy and Communicative Competence in the New Normal Education

The COVID -19 pandemic has pushed the education to alternative mode. The New Normal characterized by heavy reliance on technology has been experienced and widely advocated in education. This paper draws on an autoethnographic records which the author collected after the mass initiation of online education in June 2020 until May 2021 to reveal the importance of digital literacy and communicative competence in alternative mode of education in Nepal. The results of study indicate that digital literacy which involves the ability to locate and consume digital content, creating digital content, and communicating digital content needs to be developed further by the primary stakeholders of education. In addition, the study also reveals that the scope of communicative competence increases in alternative mode of education.
What Is Collective Intelligence?

Chapter 1 introduces collective intelligence (CI) as an academic concept. At a basic level, CI extends the conception of intelligence from an individual to a group level. Pierre Lévy formulated the modern version in 1994, when he described the invention of the Internet as a new universally distributed intelligence. Today, CI covers many different areas, but most definitions are vague and inconsistent across academic disciplines. Studies address collective problem solving in both small and large groups. At a micro level, researchers have identified a general group intelligence factor that is relevant for performance in small groups. At a macro level, studies of large groups have focused on different types of self-organization, including both stigmergy and swarm coordination. In addition, diversity examines CI as a core feature, both from the perspective of the “many wrongs principle” and the “many eyes principle.” Furthermore, the chapter provides a description of the book’s theoretical approach, building on Vygotsky and the inclusion of both biological and cultural-historical perspectives. The section on the methodological approach explains the data collection process, and the use of top solver perceptions of their participation in online innovation contests.
Thank You for Your Support [President’s Message]

By the time this issue of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IEEE Intelligent Transportation Systems Magazine</i> is published, I will have completed my term as president of the IEEE Intelligent Transportation Systems (ITS) Society. My two-year service coincided with an unprecedented time—the COVID-19 crisis. During the past two years, the pandemic has dramatically changed the lives of everyone on Earth and, most certainly, greatly impacted how the ITS Society operates. Fortunately, our colleagues have made substantial efforts to adapt to the new reality of the pandemic and created opportunities and environments for the Society to innovate and grow.
SISTEM INFORMASI GRAFIK KEKERASAN TERHADAP PEREMPUAN DAN ANAK PADA BADAN PP,KB, &amp; PA KABUPATEN BENER MERIAH BERBASIS WEB

The information system for graphic violence at the PP, KB, &amp; PA Agency in Bener Meriah Regency is currently still using a manual system. So that the graphic information on violence in the Bener Meriah Regency PP, KB &amp; PA Agency is not efficient. The web which has advantages and qualities in data collection and data calculation is catching up. With this system, it is easier for officers to collect and calculate data on violence against women and children.
Studi meta analisis: Efektivitas terapi menulis dalam menurunkan kecemasan orang dewasa dengan pengalaman traumatis

Anxiety is often experienced by adults who have a less pleasant life experience. Writing therapy is an intervention that adults can use to express anxiety. This study aims to find out the effectiveness of writing therapy in lowering anxiety levels. The study used a meta-analysis method through a literature review of 14 research articles corresponding to research variables. The total number of participants in the study was 1,593. Data is analyzed by adjusting the effect size. The analysis results in effect size value obtained from fixed effects are -0.06 (95% Cl = -0.167 to 0.042, P =0.2434) and I² (inconsistency) by 66.9%, which means that writing therapy has little effect in lowering anxiety levels. Writing therapy has little effect on decreasing anxiety levels. Writing therapy can be given in conjunction with other interventions in order to provide more optimal effects
STRATEGIES OF FICTION TEXT TRANSLATION

Linguistic and cultural strategies, which can be applied to rendering phraseological units, are discussed in the article.As it is known, there is a close interaction between meanings of the original and the receptor's culture and the novel "Lolita" by V. Nabokov is researched with the help of a continuous selection of phraseological units and a comparative analysis of their translation.
Analysis Factor of Teacher Performance Mediated by Work Motivation on Productive Teachers in Vocational School

The purpose of this study is to see how Work Discipline and Financial Compensation affect Teacher Performance, as mediated by Work Motivation, among DKI Jakarta's productive business and management teachers.From May to June 2020, the research was carried out for two months.The survey method was employed in the study.The saturation sampling technique was used to create a pattern of 103 instructors.records on trainer performance and pay had been received from institutional information.The questionnaire become then used to gather facts on paintings subject and work motivation.The requirements analysis test, the traditional assumption test, the equation of path analysis, and the Sobel test are the data analysis techniques employed.The data used were normally distributed and linear, according to the results of the data analysis.The findings of this study suggest that work discipline and financial remuneration have a favorable and significant impact on job motivation.Then there is a favorable and considerable impact of work discipline, financial remuneration, and work motivation on teacher performance, even if only partially indicated.The Sobel test has shown that work discipline and financial reward have a considerable impact on teacher performance, which is mediated by work motivation.
THE ROLE OF “SOFT SKILLS” IN THE PROCESS OF PROFESSIONAL COMPETENCIES FORMATION OF FUTURE COMPUTER TECHNOLOGY SPECIALISTS

The article deals with the analysis of an optimization possibility of a professional training process of future computer technology specialists by means of the addition of the elements of “soft skills” to an appropriate structure of professional competencies. In particular, the contents of scientific works on the mentioned problems, carried out by foreign and Ukrainian scientists, have been analyzed by the authors.The parameters of creativity, cooperation, critical thinking and communication skills, necessary for the professions of the future, have been analyzed on the basis of materials of the Educational Alliance Program “Partnership for Learning in the XXI Century”.The information represented in analyzed researchers allowed us to transform the mentioned qualities into a professional training context of Bachelors of Computer Technologies as competitive specialists. A detailed characteristic is proposed for each of these qualities.Based on the researches, a transformation algorithm of soft skills to a professional training context of Bachelors of Computer Technologies as competitive specialists is represented. According to the experience of implementation of an educational and professional training program of computer technology specialists, a list of methods and tools for resolving the issue is proposed.It is determined that at a higher education institution, “soft skills” should be formed by means of coaching, training, special educational courses; self-education; voluntary work for gaining professional experience; by the method of reporting or a presentation work; interactive teaching methods (dispute, discussion; “associative bush”, “decision tree”, “brainstorming”, “semantic map”; teamwork to create software products; case method; modelling (the application of traditional computer technologies knowledge in new conditions); business, role play at classes; work in groups, etc.).Besides, it is proposed to organize the process of soft skills formation of future Bachelors of Computer Technologies with the help of student group work. The contents of the study group activities presuppose a combination of competencies, determined by an educational program‚ and competencies, related to the issues of qualification under analysis.&#x0D; Keywords: professional training of specialists in computer technologies; “soft skills”; hard skills of a specialist; professional competencies of future specialists; creativity; critical thinking; communicativeness; cooperation.
Effectiveness of the SMM Communications Strategy of the Educational Center “Beauty Events”

Social media are becoming one of the most important tools for promoting businesses.The scientific problem of the research lies in the fact that there are specific peculiarities in developing an SMM communications strategy in the field of business education in the beauty industry.The authors set the goal of testing the algorithm of developing an SMM communications strategy, assessing its effectiveness, drawing conclusions and making proposals for improving the marketing activities of the company.The three-staged algorithm of launching an SMM strategy for the educational center was proposed and implemented.The effectiveness of the "Beauty Events" SMM communications strategy has been measured.