Reviewerly/exHarmony huggingface dataset:
An empirical performance analysis for on road object detection from Traffic videos: An image pre-processing perspective

This paper presents an empirical performance analysis of various object detection algorithms for the identification of on road objects from the perspective of different pre-processing techniques. The analysis is done on some real time traffic videos data captured from CCTV camera. The preprocessing techniques considered for analysis are background subtraction, denoising and smoothing methods. For background subtraction, two popular algorithms named Temporal Median Filtering and Canny Edge Detection are being utilized. The Temporal Median Filtering outputs the mask of the objects of interest by eliminating the background and Canny Edge Detection draws the outline of the objects of interest. Gaussian Blur technique is used for image smoothing and noise removal from traffic video. These transformations are applied on test videos of on road vehicle traffic collected manually and the results are obtained using state of the art methods. Apart from this analysis, a new trainingtesting model for quality object detection under different light conditions (day light, night and low vision) have also been proposed. The main idea here is to feed the detectors with images having less but meaningful features like object boundaries. This paper also presents a comparative analysis on state-of-the-art object detection algorithms such as YOLO and Mask-RCNN using transfer learning concept. Moreover, this paper also compares the performance of a segmentation model when fed with the data labelled with bounding boxes instead of the pixel level segmentation.
Coevolution of Blockchain and Internet of things: Applications and Opportunities

Due to a shortage of storage and poor processing speed, a network consisting of lightweight computers such as IoT has issues. Unfortunately, these problems make the implementation of solid protection solutions significantly more difficult, which decreases network security efficiency. A secure blockchain is ideal for IoT use cases that struggle with poor protection. An improvement in stability, lightness, and reliability of the IoT network is being pursued by blockchains use in IoT. Today's Internet of Things (IoT) applications are lacking in built-in protection technology, which puts out various security flaws and privacy issues. Blockchain is an effective technology, thus the open and autonomous technology behind it, blockchain, is a successful approach. This paper explores the ways in which blockchain technologies can be integrated into the Internet of Things
Happy anniversary, "Bulletin…" (to the 25th anniversary of the scientific-practical journal "Bulletin of the Book Chamber")

The presented article raises the problem of functioning of the State Scientific Institution "Book Chamber of Ukraine named after Ivan Fedorov" in the context of its publishing activity. The study is devoted to the history of the scientific and practical journal "Bulletin of the Book Chamber", which this year marks a quarter of a century since its first publication. Based on copies stored in the State Archives of the Printing, the author considered the defining events in the history of the journal, namely: state registration and establishment of the journal as a monthly scientific and practical publication, formulation of its goals and objectives, formation of editorial board and technical staff, which ensured the publication of the magazine, the establishment of circulation and pricing policy of the publication. The article provides a detailed content analysis of the starting issue of the "Bulletin of the Book Chamber", demonstrates its editorial approaches and positions at the stage of formation and definition of its own printed face. The author researched personal changes in the composition of the editorial board, commented on the process of forming the journal's rubricator, and identified the scholars who initiated its separate sections. The article focuses on assigning the journal the status of a professional publication in the fields of technical, historical and social communication sciences. Assessing the current status of the journal, the author stated that the latter continues to maintain the position of a leading publication in the fields of bibliography and library science.
Didactic Design of Lesson Study-based Microteaching Learning for Prospective Mathematics Teacher Students

The basic objective of the microteaching course is to support the implementation of apprenticeship 3 (teaching practice) in the seventh semester at school. So far, the practice of teaching in the classroom by students is often constrained by the readiness of students in preparing these teaching tools. To overcome these obstacles, it is necessary to design a didactic condition according to the obstacles experienced by students, to be able to guide students in carrying out teaching practices properly. This process requires planning (plan), implementation (do), and reflection (reflection) of learning so that the microteaching learning process is carried out based on lesson study. The purpose of this study was to develop a didactic design in microteaching learning for lesson study-based mathematics teacher candidates. The research method used is qualitative in the form of didactic design research. Based on the implementation of the didactic design of lesson study-based microteaching learning for prospective mathematics teacher students, it is concluded that this didactic design can be used as alternative learning to overcome the learning obstacles experienced by students in microteaching learning. Tujuan dasar dari mata kuliah microteaching adalah untuk mendukung pelaksanaan magang 3 (praktek mengajar) pada semester VII di sekolah. Sejauh ini, praktik mengajar di kelas yang dilakukan mahasiswa sering terkendala oleh kesiapan mahasiswa dalam mempersiapkan perangkat pengajaran tersebut. Untuk mengatasi hambatan tersebut, perlu dirancang suatu kondisi didaktis sesuai hambatan yang dialami mahasiswa, agar mampu membimbing mahasiwa dalam melaksanakan praktik mengajar dengan baik dan benar. Proses tersebut membutuhkan perencanaan (plan), implementasi (do) dan refleksi (reflection) pembelajaran, sehingga proses pembelajaran microteaching dilakukan berbasis lesson study. Tujuan penelitian ini adalah untuk mengembangkan desain didaktis pada pembelajaran microteaching bagi mahasiswa calon guru matematika berbasis lesson study. Metode penelitian yang digunakan adalah metode kualitatif berupa penelitian desain didaktis. Berdasarkan implementasi desain didaktis pembelajaran microteacing berbasis lesson study pada mahasiswa calon guru matematika disimpulkan bahwa desain didaktis ini dapat digunakan sebagai alternatif pembelajaran untuk mengatasi hambatan belajar yang dialami mahasiswa pada pembelajaran microteaching.
Research on Python Language Teaching Based on Case

Python language is a more and more widely used programming language. It becomes an inevitable choice to chose Python language as an undergraduate programming language teaching. Aiming at the current Python language teaching, focusing on basic grammar explanations, lack of case-based and comprehensive application of knowledge points. We propose a case-based python teaching plan, and these cases include comprehensively Python grammar knowledge to effectively enhance students' learning interest and learning effect.
Web-based Spatial Decision Support: Status and Research Directions

This paper summarizes research on Web-based spatial decision support systems (WebSDSS). The review distinguishes early server-side from more recent client-side applications. A third category of WebSDSS focusing on spatial decision support in public participation is typically implemented as a mixed client/server-based system. Conclusions drawn from previous work include the need for systematic user studies of WebSDSS, and the adoption of interoperable architectures for distributed spatial decision support. Furthermore, a conceptual framework is proposed to facilitate further studies of WebSDSS methods.
NEW LITERACY FOR SUSTAINABLE DEVELOPMENT

Among “new literacies” that are necessary for the modern person to be preadopted to life in a rapidly changing world, the authors propose “sustainable development literacy”. The article presents data of empirical studies on the assessment of the degree of study of the main problems of sustainable development in educational organizations of various types and levels, as well as the application of appropriate pedagogical technologies (both in the Russian Federation and in foreign countries).
MODELING THE FLUX OF SOLAR RADIATION

There are a number of methods to determine the flux of solar radiation onto the receiving surface. The best results are obtained by Byrd’s method. Its improvement is possible by introducing correction factors. Simulation of the solar radiation flux, based on this approach, gives sufficiently accurate results for solving practical problems. To increase the reliability of calculations, it is advisable to use more extensively the databases of actinometric observations obtained at observation posts on the territory of the former USSR.
METHOD OF PRELIMINARY QUALITY ANALYSIS AND SELECTION OF MEASUREMENT DATA BY ATMOSPHERIC AIR MONITORING SYSTEM FOR FURTHER TREATMENT

A methodology and a computer program have been developed for preliminary analysis and selection of qualitative observational data by the atmospheric air monitoring system in order to form a unified database and further more complex processing. The program converts the data to a single specified format, analyzes the completeness of observation data at individual observation periods and possible errors due to poor-quality measuring equipment, calculates the monthly average values of the measured parameters and their variances.
Webometric Analysis of Selected Universities Websites in Karnataka: An Evaluative Study Using Alexa Internet

The present study provides an overall picture of selected University websites in Karnataka and its status in terms of their performances on the web based on the eight indexes of Alexa internet evaluation tool. University of Mysore and Bangalore University stands top in traffic rank in India with 6,745, and 7,063 respectively. Others have weak performance and have high traffic ranks. Global traffic rank same two Universities traffic rank is less than 10,000, which projects their good performance in this attribute while compared to others. The downloading speed and bounce rate of most of the university are not satisfactory. Only few universities downloading speed is high. Kuvempu University shows the (21.20%) lowest rate of bounce percentage. The results of this study may helpful for web site managers.
Recovery of Web Citations using Time Travel in Journal of Informetrics

The present paper explores the accessibility and recovery of web citations using Time Travel in the Journal of Informetrics during the year 2008-2017. A total of 647 articles were downloaded and 24901 references were extracted. Out of 3546 web citations2084 references contained URLs, DOIs were found in 1298 references and 164 references contained arXiv, WOS article identifier, etc. It was found that 3163 web citations were accessible and the remaining 383 web citations were missing. The study also investigated the characteristic features of display and destination URLs like the path depth, URL length, file format, and top-level domain.
IT Risk Management based on ISO 31000 for BRImo Application (BRI Mobile) as a Transaction Processing Information System

BRImo application is a software support system owned by Bank BRI in order to increase profits and provide maximum service to customers. With the BRImo application, it can make it easier for customers to register for new account openings and e-banking transactions anywhere without being limited by space and time. However, implementing information technology is not without risk, because banks are a highly regulated industry and must be carried out prudently. With the growing complexity of BRI's business activities and operations, the risks faced are also getting bigger. Threats that arise to operational activities can be triggered by various factors, both internal and external. Therefore, there is a need for risk management analysis on the BRImo Application using the ISO 31000 framework so that the possible risks that will occur can be minimized or eliminated by carrying out Risk Assessment and Risk Treatment. The results of this study are various possible risks in the identified application using a probability and impact matrix as well as the handling of the possible risks that exist. So that the results of this risk analysis can be used to help companies prevent, minimize risks, and treat these risks according to their priorities before the possibility of these risks hampering the company's performance.
Modified Artificial Bee Colony (ABC) Algorithm using Dynamic Technique

The artificial Bee Colony Algorithm is a maximum optimization technique. It has been used in various research papers. In this paper, the dynamic technique has been used in Artificial Bee Colony Algorithm, before this algorithm used the greedy technology of the algorithm. But due to some deficiency in the greedy technique, it has been replaced by the dynamic technique. Here in the Artificial Bee Colony Algorithm, an attempt has been made to overcome the lack of hygiene by using the dynamic technique. The methodology is depicted in this paper. Using this methodology, you can smooth access to data in network communication, reduce data access time, and also reduce energy consumption.
Integrasi Administrasi Pembelajaran Berbasis Teknologi Informasi Model Blended Learning

The development of information and communication technology is happening so fast. Information technology must be used wisely in providing benefits, especially science. Information technology-based learning also has problems, especially in the application of its learning. This requires effort to be combined with face-to-face learning, with the aim that the learning process does not only depend on information technology, with the current conditions in Indonesia that implement Social Distancing due to the Covid 19 virus, online learning is the right solution for now. Based on background above, the researcher can take a problem formulation about blended learning and how the basic concepts, learning syntax and factors exist in blended learning. In this research, the researcher uses qualitative research methods and a case study approach as well as data collection techniques using purposive sampling and snowball sampling, in obtaining data in the study.
Person Retrieval in Surveillance Using Textual Query: A Review

Recent advancement of research in biometrics, computer vision, and natural language processing has discovered opportunities for person retrieval from surveillance videos using textual query. The prime objective of a surveillance system is to locate a person using a description, e.g., a short woman with a pink t-shirt and white skirt carrying a black purse. She has brown hair. Such a description contains attributes like gender, height, type of clothing, colour of clothing, hair colour, and accessories. Such attributes are formally known as soft biometrics. They help bridge the semantic gap between a human description and a machine as a textual query contains the person’s soft biometric attributes. It is also not feasible to manually search through huge volumes of surveillance footage to retrieve a specific person. Hence, automatic person retrieval using vision and language-based algorithms is becoming popular. In comparison to other state-of-the-art reviews, the contribution of the paper is as follows: 1. Recommends most discriminative soft biometrics for specific challenging conditions. 2. Integrates benchmark datasets and retrieval methods for objective performance evaluation. 3. A complete snapshot of techniques based on features, classifiers, number of soft biometric attributes, type of the deep neural networks, and performance measures. 4. The comprehensive coverage of person retrieval from handcrafted features based methods to end-to-end approaches based on natural language description.
Penerapan Sistem Informasi Tanda Tangan Digital Melalui E-Certificate

Education can be interpreted as a means of transportation of communication, skills, and cultural education both inside and outside lectures. On the other hand, higher education information systems can be defined as media supporting the transformation process of knowledge communication in educational organizations such as types of universities. A system consisting of several parts that operate together and are interconnected to achieve several missions desired by management. The focus of the problem raised is information systems in the form of digital hands through integrated information system services. The signature guarantees the integrity and source of a message, the signature is authentic (authentic), not easy to write / imitate and the message can also work as evidence. This research uses research and development (R&amp;D) methods that are used to produce certain products through the development process and the effectiveness of the product itself is tested.
Impact of Covid-19 Pandemic on Higher Education Sector in Yemen and Response Requirements

This study aimed at identifying the impact of Covid-19 pandemic on higher education sector in Yemen and the requirements of fighting the consequences. To achieve this objective, the study followed the descriptive content analysis method. The population and sample of the study were (46) items selected from the literature. Major findings revealed consequences of Covid-19 included suspension of university study, death of some university staff, spread of fear and anxiety among academic community, administrative staff and students, inability of Yemeni universities to use an alternative e-learning system (due to the lack of institutional technology), lack of e-learning material, bad internet services and the spread of technological illiteracy among most of teaching staff and students. In light of these findings, the study is concluded with a set of recommendations as follows: the creation of a unified body under the supervision of the two parties in Sana'a and Aden to manage Covid-19 crisis; strengthening awareness of protection; supporting medical services; providing the staff of the Ministry of Higher Education with health insurance; building technological capacity of universities to overcome technology illiteracy; and developing e-learning.
SOCIO-ECOLOGICAL ASPECTS OF INFORMATION AND COMMUNICATIVE EFFECTS

The article, from the standpoint of the «memetic» and «network» paradigms, examines the factors, mechanisms and socio-ecological consequences of information and communication influences. The phenomenon and mechanisms of information infection, the role of meme-viral influences in the processes of socio-cultural evolution are analyzed. The prospects for the development of effective research and socio-performative methods and technologies based on the joint use of the principle of viral information and communication influences and the «network» approach are studied. The ways of determining the intensity of «information infection» of the social space and the degree of «cognitive damage» of the population are discussed. It is shown that important socio-ecological problems of an information civilization are: the problem of uncontrollable side effects of information and communication influences and a tendency to the loss of human-centeredness (dehumanization) of network forms of social organization and control over them by a person.
Shared-Memory Scalable k-Core Maintenance on Dynamic Graphs and Hypergraphs.

large-scale graphs, we developed and optimized a triad census algorithm to efficiently execute on shared memory architectures. We will retrace the development and evolution of a parallel triad census algorithm. Over the course of several versions, we continually adapted the code’s data structures and program logic to expose more opportunities to exploit parallelism on shared memory that would translate into improved computational performance. We will recall the critical steps and modifications that occurred during code development and optimization. Furthermore, we will compare the performances of triad census algorithm versions on three specific systems: Cray XMT, HP Superdome, and AMD multi-core NUMA machine. These three systems have shared memory architectures but with markedly different hardware capabilities to manage parallelism.
TEKNIK MOTION GRAPHICS PADA VIDEO PROFIL PRODI INFORMATIKA UNIVERSITAS MAJALENGKA

The rapid development of information technology has had a positive impact on the general public. Company profile is an explanation of the agency in general. It contains information, vision, and mission of an agency. Company profile has an important role for an agency because it can present the vision and mission of the agency or what it wants to offer. The company profile video is the most complete media, because the video has an element of motion, a real visualization. In addition, the benefits of this company profile video are as a presentation tool to shorten the meeting so there is no need to ask in detail about the agency's profile, vision and mission. Motion graphics is a branch of graphic design, where in motion, design elements such as shape, shape, size, direction, texture contained in it, are intentionally moved or given movement to make it look alive. It is very interesting to promote agencies with motion graphics and information and promotion media have been made in the form of a company profile video for the Informatics Study Program, Majalengka University. Which consists of 6 scenes with a video duration of 1 minute 42 seconds. As a promotional media about the Universitas Majalengka Informatics Study Program to the general public.
Proactive Scheduling and Caching for Wireless VR Viewport Streaming

Virtual Reality (VR) applications require high data rate for a high-quality immersive experience, in addition to low latency to avoid dizziness and motion sickness. One of the key wireless VR challenges is providing seamless connectivity and meeting the stringent latency and bandwidth requirements. This work proposes a proactive wireless VR system that utilizes information about the user's future orientation for proactive scheduling and caching. This is achieved by leveraging deep neural networks to predict users' orientation trained on a real dataset. The 360{\deg} scene is then partitioned using an overlapping viewports scheme so that only portions of the scene covered by the users' perceptive field-of-view are streamed. Furthermore, to minimize the backhaul latency, popular viewports are cached at the edge cloud based on spatial popularity profiles. Through extensive simulations, we show that the proposed system provides significant latency and throughput performance improvement, especially in fluctuating channels and heavy load conditions. The proactive scheduling enabled by the combination of machine learning prediction and the proposed viewport scheme reduces the mean latency by more than 80% while achieving successful delivery rate close to 100%.