Reviewerly/exHarmony huggingface dataset:
Cascaded Keypoint Detection and Description for Object Recognition

Keypoints detection and the computation of their descriptions are two critical steps required in performing local keypoints matching between pair of images for object recognition.The description of keypoints is crucial in many vision based applications including 3D reconstruction and camera calibration, structure from motion, image stitching, image retrieval and stereo images.This paper therefore, presents (1) a robust keypoints descriptor using a cascade of Upright FAST -Harris Filter and Binary Robust Independent Elementary Feature descriptor referred to as UFAHB and (2) a comprehensive performance evaluation of UFAHB descriptor and other state of the art descriptors using dataset extracted from images captured under different photometric and geometric transformations (scale change, image rotation and illumination variation).The experimental results obtained show that the integration of UFAH and BRIEF descriptor is robust and invariant to varying illumination and exhibited one of the fastest execution time under different imaging conditions.
Co-bots get the good jobs while workers get a human-robot interaction nightmare

The Warehouse: A Novel by Rob Hart is reviewed.
The WIRELESS COMPUTER NETWORK MANAGEMENT SECURITY ANALYSIS

The use of a wireless computer network in some institutions has become a very flexible option to connect all users of the existing computer network in the institution. This flexibility also has the disadvantage that anyone with a network password can take advantage of the wireless network. The possibility of threats to information security is very large, such as the presence of intruders on the network. Therefore, it is necessary to manage wireless networks that pay attention to information security issues on the network. The Directorate General of New, Renewable Energy and Energy Conservation at the Ministry of Energy and the Human Resources Republic of Indonesia was chosen as the research location given that computer network users in this institution are diverse and have also used The Dude MikroTik application to manage wireless computer networks, which are instruments to analyze information security. in this institution. The analysis was conducted to identify the activities and effectiveness of information security management in this institution. This study concludes that the use of The Dude MikroTik application is quite helpful in analyzing information security on wireless computer networks in this institution.&#x0D;
Do ICT Help to Alleviate Inequality? New Empirical Evidence for Developing Countries

This chapter assesses the impact of ICT on income inequality and investigates the involved transmission channels for a sample of 22 developing countries. We consider a variety of Information and Communication Technologies (ICT) proxies and various inequality indicators to offer more insight on the ICT-inequality nexus. The SGMM estimates reveal that while some ICT proxies contribute to reduce significantly income disparities, others do not produce any significant impact or contribute to widen the income gap. The estimation results also show that the relationship between ICT and inequality is nonlinear. Another interesting finding is that school enrolment contributes to enhance the income share of the poorest social groups, while government expenditure ensures an important redistributive role. Finally, human capital, trade openness, and financial development are the main channels through which ICT contribute to reduce inequality. Oppositely, the growth channel benefits much more to high-income social groups, contributing therefore to widen the income gap.
PENGEMBANGAN LKPD BERBASIS HIGHER ORDER THINKING SKILL (HOTS) PESERTA DIDIK KELAS XI SMA YP PGRI 2 MAKASSAR PADA MATERI GENETIKA

Online and offline learning emerged as a form of learning pattern in the era of information technology as it is today. Based on the results of interviews conducted with Biology teachers at SMA YP PGRI 2 Makassar, the researchers obtained the following constraints and impacts: (1) the learning media used by the teachers was dominantly monotonous and made students feel bored or bored, (2) the dominant learning was not interactive. so that students are lazy to do assignments or read teaching materials, (3) too many assignments are given without clear working instructions so that the subject matter is difficult to understand, (4) lack of mastery of technology including the available platforms as a result the teacher does not use technology properly. From the above background, researchers conducted a study to determine the validity and practicality of developing LKPD based on Higher Order Thinking Skill (HOTS) for class XI students at SMA YP PGRI 2 Makassar. The type of research used is ADDIE Model development research which consists of five steps, namely: (1) analysis (analyze), (2) design, (3) development, (4) implementation, ( 5) evaluation (evaluation). The research instrument used response questionnaires, learning outcomes tests and validation sheets. The results showed that the LKPD based on Higher Order Thinking Skill (HOTS) on genetic material was valid and practical.
코로나19 시대 대학국제화에 대한 빅데이터 분석

This study analyzed keywords and topics on how COVID-19 affected the university internationalization using news big data and discussed the university internationalization in the COVID-19 era. To this end, a total of 649 news reports from February 15, 2020, to February 15, 2022, were subjectively modeled (LDA). Drawing on the five topics, it was possible to understand the way COVID-19 affected the university internationalization. Based on the analysis results, the following results were obtained. First, the most important topic about the university internationalization during the COVID-19 period was related to online education. These discussions included the urgent conversion of non-face-to-face lectures, the issues related to the quality of online lectures, and discussions on whether to conduct online lectures and face-to-face lectures, which emerged regularly depending on the period. Second, topics on various effects of COVID-19 on universities were also found to be important. It was found that these changes went beyond simple and temporary changes to institutional changes. Third, topics related to the current status and crisis of universities were highlighted. The crisis of universities caused by COVID-19 has appeared in diverse ways. In particular, university financial problems and challenges for local universities have emerged remarkably. Finally, topics about the challenges that students directly encounter also stood out as important. Such challenges include difficulties in taking classes due to online classes, inability to properly lead college life because of limited access to campus, and difficulties related to searching for a job. Based on these research results, this study provided suggestions for follow-up studies.
GNOSEOLOGICAL APPROACHES TO THEORETICAL KNOWLEDGE IN PEDAGOGY

The article presents a synthetic gnoseological analysis of scientific knowledge in the context of educational cyberspace, which generates the acquisition of exact knowledge important for the consolidation of the strong epistemic core of pedagogy. The content of the article includes philosophical reflections of researchers with gnoseological value on the theory of knowledge, the frequency of approaching the issue of knowledge management in the information society and characteristics of complex research methodology with pedagogical specificity, which are arguments for the importance of the in-depth research of educational phenomena
SISTEM INFORMASI JEJARING SOSIAL DAN FORUM DISKUSI BERBASIS PHP

The rapid advancement of technology in the field of information has encouraged the emergence of social networking sites. Sites that have many interesting features and can be easily accessed and applied by all circles of society. Distance becomes meaningless, differences become the reason for unity for every participating person, including a discussion forum site that is useful for showing the existence of the community or organization. Currently the BALMON office has a very wide range to support things that are not possible to carry out. Maintenance and coordination meetings make it impossible to do every day, therefore BALMON requires a social networking facility so php social networking system was created. Balmon Forum information can be used as a means of communication between members or Balmon Staff.
Students’ Perception of The Implementation of Blended Learning at Junior High School

This study aims to determine how students perceive the use of WhatsApp to support blended learning at SMPN 1 Motui. This study aims to determine how students perceive the use of WhatsApp to support blended learning at SMPN 1 Motui. The design in this research is descriptive qualitative using a questionnaire and interview instruments. In collecting data through questionnaires the researcher used a questionnaire sheet with two yes/no scales which were distributed to all students in one class and interviewed 6 students. The subjects in this study were 23 students of class IX. The results of the questionnaire showed that students gave a positive perception of the use of WhatsApp as a learning medium. They feel comfortable learning by using WhatsApp media in the learning process. The results of the interview revealed that teachers use WhatsApp to send learning materials in the form of document files, while students send assignments in the form of files, text and picture and students fill out the attendance list. However, there are also challenges in using WhatsApp including unstable network connections, limited internet quota and not having a mobile phone. This study also revealed that using WhatsApp can provide convenience for students including: 1) students can learn remotely anywhere and anytime, 2) can convey/receive information on learning materials, 3) easily send assignments, 4) can easily interact with teachers or classmates, 5) can increase positive attitudes and student learning outcomes in class.
Design of learner-centered literature and pop culture class using multimedia technology during the pandemic, crisis of public health

This study analyzes the effective classes of literature and popular culture, which are one of the liberal arts elective subjects in S University. This course is aimed at students from 1st to 4th graders of different majors, and the learning goal was not just to appreciate literary works, but to improve their ability to understand them in an easy and fun way, and to apply them to real life. This study examines how the literature class, the source of popular culture in the era of the 4th industrial revolution, can motivate students to learn and produce learning effects by using multimedia rather than the existing traditional method. In this study, the instructional procedure of a class that attracted a lot of students' attention among the classes that took place during the semester was presented as an example. In detail, the researcher conducted a pre-class survey and, through the results, grasped the level of background knowledge of the students and the characteristics of the learner, and proceeded with the class. After taking the questionnaire, eight items were surveyed, and only six items among them were analyzed.
Prototype development of VR based personal zone defense practice equipment

In a basketball game, players must act appropriately according to the position and movement of the player. This needs to be learned through team practice. Therefore, if we can build an environment that allows even one person to practice as a team, the efficiency of practice can be greatly improved. It is effective to use virtual reality (VR) technology to realize team practice alone. This paper proposes a VR-based basketball team practice learning system that provides VR environments similar to the actual team practice environments by arranging players in a virtual space. Focusing on zone defense practice, which is said to be difficult to learn even in team practice, we propose a practice system for orthodox 3-2 zone tactics. In addition, because the distance between the player and the surrounding VR player is important for this system, this paper presents the evaluation result of the 3D virtualization accuracy measured by the experiment.
DIRECT OPEN STRATEGY IN JAVANESE APOLOGY SPEECH ACT: A PRAGMATIC STUDY

This study aims to find forms and explanations of open strategies directly on the speech act of apologizing in Javanese. This study uses a qualitative descriptive approach with an ethnopragmatic design. Research data obtained from 46 research subjects through observation and in-depth interviews. Data analysis was carried out with a flow model in which there were reduction, presentation, verification, and inference. The results showed that direct 'open' strategy are (a) praising the pt first, (b) sympathizing, (c) using group similarity markers, (d) seeking or asking for opinions, (e) making offers and promises, (f ) giving reasons, (g) giving respect, (h) admitting mistakes, (i) begging very much, and (j) repeating an apology
Assessing the Impact of ICT Development on the Economic and Social Welfare of Asian Economies

This study aims to unravel the impact of information and communication technologies (ICTs) on the social and economic welfare of Asian countries by using a panel Generalized Method of Moment (GMM) model over the period 2011–2019. The results demonstrate that mobile, broadband, and internet penetration are the main driver of the socio-economic well-being in Asian countries. Importantly, while corruption has a detrimental effect on economic and social welfare, its interaction with various aspects of ICT yields positive and significant results, demonstrating that improved ICT facilities mitigate the negative impact of corruption on social and economic well-being. The study proposed that coordinated efforts must be launched to capitalize on the inherent benefits of ICT use, such as lowering the escalating costs of communication technology facilities like cell phone purchases, internet access rates, and so on.
Pembuatan Vidio Profil Sebagai Penunjang Informasi Dan Promosi Cagar Budaya Di Lombok Tengah

Indonesia is one of the countries with the most favorite tourist objects in the world. There are many cultures, customs and natural beauty that are still preserved. One type of tourism that is closely related to history and ancestral heritage is cultural heritage. Cultural heritage has a high historical value and witnesses the civilization of life on earth. One of the districts in West Nusa Tenggara, namely Central Lombok Regency, has 150 cultural heritages spread across various sub-districts. 7 of these cultural heritages have been recorded at the national and even international levels. However, due to limited sources of information and access to cultural heritage sites, tourists and local people do not know the locations and history of the cultural heritage sites. So that research is carried out with the aim of obtaining valid data and information to be promoted in the form of videos that can be watched by anyone, anywhere and anytime via YouTube and can be used as a medium of learning about the life history of the ancestors of the Sasak tribe in Central Lombok Regency.In the research conducted, the researchers collected data and information by means of literature study, observation and direct interviews to cultural heritage locations and the Tourism Office of Central Lombok Regency. Method of analysis with SWOT (Strengths, Weaknesses, Opportunities, Threats). The design method uses the multimedia production process flow method with Adobe Audition software as audio editing and Adobe Premiere Pro 2020 as video editing. And the questionnaire test is used to obtain responses from the respondents by calculating the Likert scale
The Influence of "Google Meet" Online Learning on Students' Learning Interest and Motivation

With the Covid-19 pandemic, students must learn to adapt. The application of e-learning is a form of learning adjustment in the midst of the Covid-19 pandemic. This learning is aimed at students' interest in learning and motivation to learn. To achieve this quality, students must of course have a lecturer role in learning, one of which is the use of appropriate and fun learning strategies, namely Google meet. Based on this statement, this study aims to examine and determine the effect of online learning "google meet" on student interest in learning and motivation to learn. This research is an associative research that uses a quantitative approach. This research was conducted at Unindra in April – May 2021. The research population was Unindra's economic education students. The sample used the non-probability section with purposive sampling technique which obtained 179 students as participants. The source of the data used in this research is the primary data source which is obtained directly. Data collection techniques using a questionnaire. The data analysis technique used regression test and hypothesis testing with the help of SPSS 24.0 program. for windows. The results of the study revealed that there was an effect of online learning "google meet" on student learning interest and there was an effect of online learning "google meet" on student learning motivation.
Love is the same for everyone, or is it: conceptualizing the concept of «love» in different subject areas

The work is devoted to the development of the first version of the ontological model of the concept of "love" by conceptualizing the relevant subject area in five different disciplines. The development of artificial intelligence has contributed to an increase in interest in improving the operation of automatic systems by teaching them human categories, such as feelings, among which love is one of the main emotional processes due to its extensive influence on many aspects of human life. A task is set to create a knowledge base that would allow us to conceptualize the concept of ―love‖ using ontological approach. A brief review of the available studies and classifications of types of love in selected disciplines is carried out. Resulting ontologies in the form of conceptual schemes are presented for validation to experts in the relevant disciplines. An important and significant aspect in the design of the ontology of love at the initial stages is the correct representation of the main types and attributes for further design of related relationships between them. An important and significant aspect in the design of the ontology of love at the initial stages is the correct display of the main types and attributes for further design of related relationships between them. Based on the study of European culture, an ontological analysis of the concept of "love" is proposed from the standpoint of the following disciplines: biology, philosophy, psychology, sociology and art of various genres. The results obtained, taking into account their further development, can be used to create artificial intelligence applications that model the sensual and emotional sphere of human activity, in particular, love.
ANALISIS SENTIMEN PENGGUNA TWITTER TERHADAP ROKOK ELEKTRIK (VAPE) DI INDONESIA MENGGUNAKAN METODE NAÏVE BAYES

Social media such as Twitter is a communication medium that is in great demand by Indonesian people from various groups. Many of the people who express opinions or opinions on something, from good things to bad things or criticize on twitter. Because of this, making e-cigarettes or commonly called vapes as an object of analysis, which has many users of e-cigarettes or vapes in Indonesian society from teenagers to adults. Making user opinions or opinions on Twitter in the form of tweets which will later be used for sentiment analysis, where we can determine the sentiment of each tweet, in the form of positive, negative, and neutral sentiments. Retrieval of tweet data on twitter we use the twitter API that has been provided by the twitter developer. Using a program created using the python programming language and using the Naïve Bayes classification model. From the sentiment analysis carried out using the Naïve Bayes classification model, with an accuracy rate of 77.5%, the number of negative polarity 11.7%, the number of neutral polarity 77.3%, and the number of positive 11%.
Online news popularity prediction before publication: effect of readability, emotion, psycholinguistics features

&lt;span lang="EN-US"&gt;The development of world wide web with easy access to massive information sources anywhere and anytime paves way for more people to rely on online news media rather than print media. The scenario expedites rapid growth of online news industries and leads to substantial competitive pressure. In this work, we propose a set of hybrid features for online news popularity prediction before publication. Two categories of features extracted from news articles, the first being conventional features comprising metadata, temporal, contextual, and embedding vector features, and the second being enhanced features comprising readability, emotion, and psycholinguistics features are extracted from the articles. Apart from analyzing the effectiveness of conventional and enhanced features, we combine these features to come up with a set of hybrid features. We curate an Indian news dataset consisting of news articles from the most rated Indian news websites for the study and also contribute the dataset for future research. Evaluations are performed over the Indian news dataset (IND) and compared with the performance over the benchmark mashable dataset using various supervised machine learning models. Our results indicate that the proposed hybrid of enhanced features with conventional features are highly effective for online news popularity prediction before publication.&lt;/span&gt;
Study of Fuzzy σ-Ring and Some Related Concepts

This paper introduces the concept of fuzzy σ-ring as a generalization of fuzzy σ-algebra and basic properties; examples of this concept have been given. As the first result, it has been proved that every σ-algebra over a fuzzy set x* is a fuzzy σ-ring-over a fuzzy set x* and construct their converse by example. Furthermore, the fuzzy ring concept has been studied to generalize fuzzy algebra and its relation. Investigating that the concept of fuzzy σ-Ring is a stronger form of a fuzzy ring that is every fuzzy σ-Ring over a fuzzy set x* is a fuzzy ring over a fuzzy set x* and construct their converse by example. In addition, the idea of the smallest, as an important property in the study of real analysis, is studied as well. Finally, the main goal of this paper is to study these concepts and give basic properties, examples, characterizations and relationships between them.
Klasifikasi Hewan Mamalia Berdasarkan Bentuk Wajah Menggunakan Fitur Histogram of Oriented dan Metode Support Vector Machine

Mammals have several characteristics that can be distinguished, such as footprints, voice, and face shape. Mammals can be recognized. To classify the face shape of mammals, the Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM) methods can be used. This study uses the LHI-Animal-Faces dataset which is taken as many as 15 species of mammals, where each type of mammal is selected 60 images and resized to 150x150 pixels. The image is converted into a grayscale image for the HOG feature extraction process. Furthermore, the classification process uses SVM. The kernels used are Linear, Polynomial, and Gaussian kernels. The testing process uses K-Fold Cross Validation. The folds used are 3-fold, 4-fold, 5-fold, 6-fold, and 10-fold. The performance of the HOG feature and the SVM method that gives the best results is the Linear kernel using 10-fold with an accuracy value of 96.55%, precision of 77.92%, and recall of 74.11%. The sequence of kernels that give the best results in this test is the Linear kernel, Polynomial kernel, and Gaussian kernel.