Reviewerly/exHarmony huggingface dataset:
Two phased histogram of oriented gradient feature selection strategy for face recognition

Face recognition system, as any recognition process, depends highly on features extracted from face images. The selected features play a great role in deciding the recognition rate result. In this paper, a two-phase feature extraction and selection process is used for face recognition system. The process depends on histogram of Oriented Gradients (HOG) feature extraction and window size use to determine similarity between classes. Low number of features are used (big window size) to divide classes into small closed-similarity groups as first recognition phase. Then, the best matched class is found using larger number of features where differences between classes are bigger. The proposed method was applied to Essex face dataset using support vector machine (SVM) and Naïve Bayesian (NB) methods for comparison. The proposed method achieved 5% and 10% better recognition rate compared to SVM and NB respectively.
IMPLEMENTATION OF IDEAS E.V. BONDAREVSKAYA IN THE PROCESS OF FORMING THE PERSONAL AND CREATIVE ACTIVITY OF FUTURE TEACHERS

Elaborating on the previously conducted studies into polar model of sense-making, the authors propose a trialectic model of the way meanings are born.The purpose of this article is to provide theoretical grounds for transition from the dual to trinal model of sense-making strategies and their description.The sense-making strategy determines the direction and quality content of the generated image-meaning.The authors find it expedient to consider trialectic level of the system of senses for more adequate modeling of possible strategies that reflect the key traits of a personality.The above mentioned triad contains hypo-adaptive, hyper-adaptive and pre-adaptive sense-making strategies.The proposed approach enables to identify a personal profile that acts as a multifactor model of possible states of value-notional sphere of an experiencing subject.In terms of modeling behavior patterns, a personal profile of such kind reveals the main direction and principal features of sense-making regulation.
Perkuliahan Bahasa Arab dengan Gnomio.com

The Quality Assurace Institute of IAIN Palangka Raya, conducts online lectures monitoring and evaluation, the results show that Whatsapp Group and Google Classroom are the media used during online lectures, both of media still have some deficiencies during the lecture process. Gnomio.com is a distance learning application that is very suitable for maximizing online recovery, besides that gnomio is included in the Learning Management System (LMS) category. This type of research ia a qualitative research in the form of field research. Arabic language lectures are conducted using gnomio.com media by 3 (three) different classes in the Islamic Accounting study program, Faculty of Economic and Islamic Business, IAIN Palangka Raya. This Study shows this application could be help facilitate lecturers and students in carrying out lectures in a bold manner. Some of features that are very suitable in bold lectures, such as attendance, delivery of material, collecting assignments, assignments, and facilitating evaluation for students. By using the appropriate lectures application, it is hoped that it will boldly maximize the lecture process and arouse student interest and motivation, espesiacilly in Arabic language lectures.
Convolutional Neural Networks for Mobile Face Recognition with Hierarchical Feature integration

Significant advances in face recognition tasks have been made with the development of convolutional neural networks. With large scale convolutional neural networks we are now able to achieve 99% accuracy on many public face test sets. However, the face recognition networks commonly used for mobile are limited by their narrow network width which makes it difficult to learn better distributed features in face recognition feature embedding learning. In this work, based on MobileFaceNets we propose an attention-guided hierarchical feature fusion model. Compared with the traditional cascading convolutional neural network classification model, our approach can explicitly consider both global and local features. And our approach requires only a small increase in computation to obtain better results than directly increasing the feature dimension.
Sufficiency of Sri Lankan Cyber Crime Law ‘Critically Analysis of the Legal Frame Work Applicable to the It Industry Comparing With European Union Law’

“The Internet deserves special attention in criminology as well as criminal law and policy, because of several characteristics: it is global, instantaneous, intrinsically trans-border, digital, and enables automated information processing. Because of these characteristics, the Internet provides special opportunities to commit cybercrimes: crimes in which computer networks are the target or a substantial tool.”-Professor Bert‐Jaap Koops, TILT – Tilburg University.Information Technology is one of the primary needs of the modern world with advanced technology. The present human civilization seems to be based on information technology. It has brought many benefits and facilities to the world, but, it also has brought many adverse effects and challenges. Among them, ‘Cyber Crimes’ are a major issue. Cyber Crime is one of the criminal acts which deals with computers, computer systems, and networks.The criminals attack computers, computer systems, computer networks or similar electronic devices to get data and information illegally.When we talk about the history of Cyber Crimes, “Hacking” is the most famous word. “The first and original computer hackers emerged in the 1960s at MIT (Massachusetts Institute of Technology).”2The computer viruses started to grow during the mid-1980–1990s when the use of PCs spread across homes and businesses.Today, Computer Crime, more commonly called as Cybercrime, has become very prominent and happen at a scale that rivals or even outnumber the conventional crimes. But, it is a question whether most of the nations across the globe are competent or capable enough to address the Cybercrime. Apart from the developed countries which have implemented many techniques, departments and drafted acts to mitigate Cybercrime, in the third world, Cybercrime has not got the attention that it must be given.This research article attempts to compare and contrast the Computer Crime Act of Sri Lanka with the EU directives related to Cybercrime in order to understand the competency of Sri Lankan Cybercrime laws at handling and mitigating Cybercrime.
Evaluating the Impact of COVID-19 on Cyberbullying through Bayesian Trend Analysis

COVID-19's impact has surpassed from personal and global health to our social life. In terms of digital presence, it is speculated that during pandemic, there has been a significant rise in cyberbullying. In this paper, we have examined the hypothesis of whether cyberbullying and reporting of such incidents have increased in recent times. To evaluate the speculations, we collected cyberbullying related public tweets (N=454,046) posted between January 1st, 2020 - June 7th, 2020. A simple visual frequentist analysis ignores serial correlation and does not depict changepoints as such. To address correlation and a relatively small number of time points, Bayesian estimation of the trends is proposed for the collected data via an autoregressive Poisson model. We show that this new Bayesian method detailed in this paper can clearly show the upward trend on cyberbullying-related tweets since mid-March 2020. However, this evidence itself does not signify a rise in cyberbullying but shows a correlation of the crisis with the discussion of such incidents by individuals. Our work emphasizes a critical issue of cyberbullying and how a global crisis impacts social media abuse and provides a trend analysis model that can be utilized for social media data analysis in general.
Image compression based on adaptive image thresholding by maximising Shannon or fuzzy entropy using teaching learning based optimisation

In this paper, teaching leaning based optimisation (TLBO) is used for maximising Shannon entropy or fuzzy entropy for effective image thresholding which leads to better image compression with higher peak signal to noise ratio (PSNR). The conventional multilevel thresholding methods are efficient when bi-level thresholding. However, they are computationally expensive extending to multilevel thresholding since they exhaustively search the optimal thresholds to optimise the objective functions. To overcome this drawback, a TLBO based multilevel image thresholding is proposed by maximising Shannon entropy or fuzzy entropy and results are compared with differential evolution, particle swarm optimisation and bat algorithm and proved better in standard deviation, PSNR, weighted PSNR and reconstructed image quality. The performance of the proposed algorithm is found better with fuzzy entropy compared to Shannon entropy.
대학 신입생의 지각된 역량과 학습기대에 따른 잠재집단별 학습참여의 차이: S대 사례를 중심으로

This study was conducted to identify the groups with similar responses using the perceived competencies and learning expectations of university freshmen, and to examine the difference in student engagement for each groups. For these purpose, 497 male and female freshmen enrolled in 2019 at S university in Gwangju participated in a NASEL(National Assessment Student Engagement in Learning), and the data was analyzed using latent profile analysis. The results of the study were as follows. First, the data was divided into three groups. The first group was called ‘perceived competencies - learning expectation high group’ with high competencies and learning expectations, the second group was called ‘perceived competencies- learning expectation average group’, and the third group was called ‘perceived nonacademic competencies - learning expectation low group’. Second, it was found that the total scores of student engagement were significantly different among the three groups, and that the higher the perceived competencies and learning expectations, the higher the engagement in learning(all with respect to cognitive, emotional, and behavioral engagement). Based on the results of this study, the educational implications to increase student engagement and educational learning outcomes were discussed.
Improving a Method to Analyze the Requirements for an Information System for Consistency

Modern representations of characteristics of functional requirements virtually have no formalized descriptions. That is why the application of the existing methods for the analysis of requirements faces the problems of formal confirmation or refutation of the fact that a functional requirement has an appropriate characteristic. These problems are particularly pronounced in the analysis of functional requirements for consistency.To eliminate these problems, the task was set to develop formalized descriptions of the situations of the complete and partial inconsistency of knowledge-oriented descriptions of functional requirements and based on the resulting descriptions, to improve the existing method for analysis of functional requirements for consistency of created or modified information system. The knowledge-oriented frame-based description was used as a formal description of the analyzed functional requirement for an information system. In the course of solving this problem, the formalized descriptions of the situations of complete contradiction and partial inconsistency of descriptions of the frames of analyzed functional requirements were developed. It was shown that the situation of complete contradiction is a particular case of a situation of the partial inconsistency of descriptions of analyzed frames. This result was the basis for the improved method for analysis of separate frames of descriptions of functional requirements for consistency. The improved method makes it possible not only to identify situations of complete contradiction and partial inconsistency of analyzed frames but also to quantify the degree of the identified inconsistency.The initial and the improved methods were tested during the analysis of the functional requirements of the problem of planning the individual activity of the academic and teaching staff of a higher education institution. Three typical situations that may arise from the analysis of functional requirements for consistency were considered. It was shown that the improved method makes it possible to find more errors in the descriptions of functional requirements
The EU–South Korea FTA: Which Sector Benefits the Most?

Purpose - This study empirically analyzes the effects of the European Union-South Korea Free Trade Agreement on Korean exports in major sectors. Design/Methodology - This study is based on the augmented gravity model with a panel data set covering 51 countries between the years 2000 and 2015. Findings - Main findings of the present study is that the agreement has affected the chemical sector the most. Fixed effects estimation predicted a positive trade effect of 38.3%, while Poisson maximum likelihood estimation predicted an impact of 4.75% in the chemical export sector. Regression results for the other sectors only show insignificant effects. Originality/value - The findings imply that the effects of the EU-South Korea free trade agreement on the Korean exports are quite specific compared to the European ones, meaning that the Korean government should focus on sector-specific programs to maximize the welfare benefits of the free trade agreement.
PENERAPAN SISTEM QR CODE DAN BARCODE DALAM MENGHITUNG BELANJA DI SWALAYAN BERBASIS ANDROID

Supermarkets generally use a Desktop PC for the process of counting groceries with the help of barcode readers to find out the price of goods. This application is built using QR code and barcode reader based on Android to solve the problem of effectiveness and efficiency of the sales process in supermarkets. This study aims to design an application to calculate grocery shopping using a QR code and barcode reader based on an android smartphone application. Data collection methods used observation and interviews with self-service managers. This research produces an application that makes it easier for buyers to make shopping and payment transactions, thereby reducing queuing time at the cashier.
Peranan Revolusi Industri 4.0 Terhadap Mutu Pendidikan Sekolah Menengah Kejuruan Jurusan Akuntansi

he Prapanca 2 Surabaya Vocational High School (SMK) majoring in accounting is one entity that is willing to compete and is skilled and professional inwelcoming the Industrial Revolution 4.0. So far, the principal has prepared a strategy to improve the quality of graduates to suit the needs of the businessmarket (Business World (DU)/Industrial World (DI)). Some of the strategies used in aligning education with the demands of the 4.0 Industrial Revolution erainclude improving the quality of sarpras (facilities and infrastructure) in the learning process based on industrial needs (Link and Match) during the IndustrialRevolution 4.0 period, the fulfillment of DU/DI standard facilities and infrastructure and increasing teacher competence is focused on the era of theIndustrial Revolution 4.0. The role of the principal has a point of view broad, open, disciplined, firm, and committed.
Estimating the Age of the Human by using Fuzzy Logic and Image Processing

Estimating the age of human by analyzing the facial image using image-processing and fuzzy logic techniques have lots of potential real-world application, such as human-computer interaction and multimedia communication. Several face detection methods are developed to track a human face in a motion scene. Edges can be recognized using fuzzy logic methods. The amount of data and filtering of unwanted or insignificant information are reduced significantly by edge detection and gives significant information in an image. An efficient algorithm is developed to detect edges of an image for recognizing age of human by using fuzzy logic. The system is achieved and simulated in Matlab and its performance is tested on real images.
Gender &amp; Kepemimpinan Perpustakaan Perguruan Tinggi Muhammadiyah: Inovasi Layanan di Masa Pandemi Covid-19

ABSTRACT&#x0D; Introduction. This article is entitled "Gender &amp; Leadership of Muhammadiyah Higher Education Libraries: Service Innovation during the Covid-19 Pandemic." The purpose of writing is to systematically describe and interpret gender and leadership in bringing new innovations in library services during the Covid-19 pandemic in the form of transformative policies.&#x0D; Research Methods. In this article, the author uses descriptive qualitative methods with constructivist and critical interpretive efforts in seeing the phenomena that occur, by formulating several crucial issues which are summarized in the question: Why is genderization of library leadership important to produce new innovations in services in times of crisis? Meanwhile, the data were collected by means of online observation, online interviews and call interviews. The main data is through call interviews and through chat communication media. The informants in this study were the head of the library and librarian / library staff at Muhammadiyah Higher Education including Muhammadiyah Riau University, STIKES Muhammadiyah Gombang, and Muhammadiyah Makassar University.&#x0D; Results and Discussion. The results of the research in this article show that the role of gender feminism in library leadership during the Covid-19 pandemic crisis is very urgent in relation to efforts to transform service change as protecting the existence of libraries. The head of the Muhammadiyah College library plays a professional and maternal role in making a policy (democratic and transparent). In crisis conditions, transformation is carried out by utilizing both forms of service, namely conventional (covid-19 protocol) and digital (wa, instagram, zoom, repository, and web library). So, that these efforts are very intersubjective to become novelty for Muhammadiyah Higher Education libraries in an effort to transform services that are more creative, innovative, and relevant from various conditions.&#x0D; Conclusions and recommendations. From these results, to bring existence to the Muhammadiyah Higher Education library in various intersubjective conditions requires relevance between effective policies in line with the gender role of the head of the library. This is necessary for the library to consider more carefully the policies to be taken so that it is user-oriented, because it will affect the existence of the library in the future in facing various situations.&#x0D; &#x0D; Keywords: Gender, Leadership, Transformation, Innovation, Library, PT Muhammadiyah
Penerapan Media Pembelajaran Schoology untuk Meningkatkan Hasil Belajar Mahasiswa

Abstrak: Tujuan penelitian ini untuk mendeskripsikan peningkatan hasil belajar melalui penerapan media pembelajaran Schoology. Metode penelitian ini adalah Penelitian Tindakan Kelas (PTK). Subjek penelitian sejumlah 28 mahasiswa prodi Pendidikan Matematika STKIP PGRI Nganjuk. Teknik pengambilan data menggunakan metode observasi dan tes. Hasil dari penelitian ini adalah hasil belajar pada siklus I menunjukkan bahwa mahasiswa yang tuntas dalam pembelajaran adalah 42% dengan nilai tertinggi 88. Hasil belajar mahasiswa pada siklus II menunjukkan bahwa mahasiswa yang telah tuntas sebanyak 93% dengan nilai tertinggi 90. Nilai rata-rata pada siklus I sebesar 73,39 sendangkan nilai rata-rata untuk siklus kedua adalah 85,14. Peningkatan prosentase ketuntasan dari siklus I dan siklus II adalah 51%. Dari hasil belajar siklus II terlihat bahwa indicator keberhasilan pembelajaran terlah tercapai. Kesimpulan dari penelitian ini adalah Hasil belajar mahasiswa selama proses pembelajaran menggunakan media pembelajaran schoology pada mahasiswa Prodi Pendidikan Matematika STKIP PGRI Nganjuk mengalami peningkatan. Hal ini ditunjukkan oleh banyaknya mahasiswa yang tuntas pada siklus I sebesar 42% meningkat menjadi 93% pada siklus II.Abstract:  The purpose of this research is to describe the improvement of learning outcomes of students through the application of Schoology learning. This research method was Classroom Action Research (CAR). The data collection technique used observation and test methods. The results of this study were the learning outcomes in the cycle I showed that students who completed learning were 42% with the highest score of 88. Student learning outcomes in cycle II indicated that students who had complete as much as 93% with the highest score of 90. The average value in the first cycle was 73.39 while the average value for the second cycle was 85.14. The increase in the percentage of completeness from cycle I and cycle II was 51%. From the results of learning cycle II, it can be seen that the indicators of learning success have been achieved. The conclusion of this research is that the learning outcomes of student character education during the learning process using Schoology learning media in the students of the Mathematics Education Study Program of STKIP PGRI Nganjuk have increased. This is indicated by the number of students who completed the first cycle by 42%, increasing to 93% in the second cycle
STUDENTS’ READING COMPREHENSION ACHIEVEMENT IN NARRATIVE TEXT THROUGH TEAM PRACTICE TECHNIQUE

This study was conducted to find out the students’ reading comprehension achievement in narrative text through team practice technique. This research was applied by class room action research. The technique of analyzing data of this study was applied by using qualitative and quantitative data. The qualitative data were taken from interview, diary notes, observation sheet and documentation. The quantitative data were taken from the best. It indicated that the work technique can improve students’ comprehension achievement in narrative text through team practice technique. It’s strengthened by the result of observation showed that most of the students in teaching learning process were active and serious in joining the lesson. They were active in discussing and they had already been brave to propose question and give the solution to the problem. Keywords: Reading Comprehensive, Narrative Texts, Team Practice Technique
Simplified quantum secure direct communication system with decoy states based on linear optical devices

A simplified entanglement-based quantum secured direct communication system over optical fibers is proposed. Instead of the complicated optical and electronic devices used in the transmitter of standard systems for security checks, a decoy-state generator is integrated with the encoder. This provides a simple yet efficient and easy to implement solution to reveal the presence of intruders. A significant advantage of the proposed system is that it eliminates the need for quantum memory elements in the security check procedure performed in the transmitter. This greatly enhances the information transmission capacity of the quantum channel. All system parameters are defined from commercial specifications to account for components’ non-idealities. A numerical simulation shows that, after a 10-km transmission distance, a quantum state visibility of the polarization entangled Bell state of 88.57% is found, and a maximum coincidence rate of 4 × 107 Hz is achieved.