Reviewerly/exHarmony huggingface dataset:
Analisis Metode Histogram Equalization Dalam Proses Perbaikan Gambar Closed Circuit Television (CCTV)

The problem in the scope of the image is where every image we have has quality weaknesses, colors are too contrast, lack of intensity, blurring, and one of them is containing a lot of noise as is the case with CCTV images. The image recorded by CCTV has a lot of noise, so the resulting image is not very clear. Therefore we need a method to reduce noise. In minimizing this, it is necessary to improve the image that aims to get better image results than before, so that the image can be seen more clearly. Image improvement is one of the early techniques in the process. There are so many techniques used in the image enhancement process, one of which is histogram equalization. Thus, the author feels that this CCTV image improvement needs to be improved with this method, and requires SNR as a comparison of image results and timing run as a measure of the speed needed during the reduction process. Histogram equalization is changing the sharpness values ​​of the image, so that the distribution is uniform, which is obtained by changing the degree of gray of the pixels. SNR to determine the level of image quality after noise reduction, in the SNR process a comparison of the resulting image and the initial image will be carried out to find a rough estimate of image improvement. Timing run to obtain the length of time obtained during the noise reduction process in an image takes place. This study describes how to improve the image based on histogram equalization method
Machine Learning in Artificial Intelligence: Towards a Common Understanding

Exploration and upset are vital for the assembling business. These more astute applications utilize data gathered from information, affecting all enterprises and examination disciplines. At the core of this unrest are the instruments and strategies that drive it, from adjusting the immense range of information documents produced each day, to learning and making a significant move. Profound neural organizations, alongside headways in exemplary ML and versatile multipurpose GPU processing, have become significant pieces of computerized reasoning, empowering large numbers of these astounding progressions and bringing boundaries down to reception. Python stays the most dependable language for logical calculation, information science, and AI, working on both execution and usefulness by empowering the utilization of low-level libraries and undeniable level application programming clean. This review gives an outline of the field of AI with Python, circumventing significant themes to recognize a portion of the principle equipment and programming standards that have empowered it. We cover broadly utilized libraries and ideas, gathered with the end goal of comprehensive correlation, determined to teach the peruser and propelling the field of Python AI.
MEDIA PEMBELAJARAN ONLINE TATABOGA PADA SMKN 4 KOTA JAMBI BERBASIS WEBSITE

Has done research in state vocational schools 4 Jambi  City for the purpose of help teachers in doing activities the learning process. Media uses this learning to enable for teachers, where along of these processes learning in do manually or conventional.Learning activities done room class with a space peraktek and pengampuh more than one teacher, where school tuition faced with learning teachers as central peratian, so that lack of interaction between teachers and school tuition. When viewed from study results students who so declining can show understanding students to matter also low enough.To overcome difficulties school tuition in understanding tataboga learner it should be the media learning that can help school tuition in learning process that to attract the attention and interest learn school tuition, to be more pokus in understanding the material that was delivered by teachers.And the methodology used go directly room for mengetauhi directly the problems faced by in state vocational schools 4 Jambi City.
Pemberdayaan Kelompok Informasi Masyarakat Melalui Edukasi Literasi Digital dan Fasilitasi Teknologi

The Community Information Group (KIM) is a non-governmental organization managed from, by and for the community independently and creatively. The existence of KIM as a public service institution is required to be able to provide various information for the public. This is because KIM functions to increase public literacy in the field of information and mass media as well as Information and Communication Technology among KIM members and the public. KIM, Biting Village, Badegan District, Ponorogo Regency, was established in 2010 under the guidance of the Ponorogo Information and Communication Office, but the existence of KIM did not last long due to the lack of knowledge and digital literacy skills of the board. Implementers of the Community Partnership Program seize the opportunity to empower KIM by conducting digital literacy education and facilitation of websites and social media. This paper attempts to describe the implementation of digital literacy education and technology facilitation for KIM in Biting Village, Badegan, Ponorogo. The method of implementing this activity is carried out through two aspects, namely digital literacy education and technology facilitation. Digital literacy education is carried out with some training and mentoring on online journalism, while technology facilitation is in the form of websites and social media. The results of digital literacy education are in the form of an increase in partners' digital literacy knowledge by 1.67% and partners have been able to compile journalistic works uploaded on the website, while for technology facilitation the KIM Biting website is available which can be accessed at https://kimbiting.com/ and social media consisting of Facebook, Instagram, and YouTube KIM Biting. The results obtained have reached the target set by the service implementer. The contribution of this paper is in the form of a group-based community empowerment model through digital literacy education and technology facilitation.
IMPLEMENTASI SYSTEM DEVELOPMENT LIFE CYCLE PADA RANCANG BANGUN SISTEM PENDAFTARAN PASIEN BERBASIS WEB

&#x0D; The system development life cycle (SDLC) is a form of describing the stages of the system development process. The systems development life cycle presents a methodology or an organized process for building a system. One of the efforts made by the hospital to avoid long queues is to develop a web-based patient registration system. The design of the system in this study was carried out using use case diagrams and sequence diagrams. Based on the results of the process testing carried out on the applications produced in the study, it was found that the system built worked well, with no errors in the data processing process. Meanwhile, based on system interface testing, it was found that based on usability aspects, 26% of respondents chose very good; 59.4% chose good and 14.6% chose enough. Based on the user aspect 29% chose very good; 55.2% chose good and 15.6% chose enough. Based on the interaction aspect 20% chose very good; 50.8% chose good and 28.9% chose enough.&#x0D;
Семантический контент-анализ выступлений депутатов Государственной Думы Российской империи: методологические аспекты

The essay focuses on contemporary method of text analysis of political narrative. Traditional approach to content analysis assumes creation of frequency dictionaries which means that each word is considered as an isolated element of the text out of connection with other words. It raises a problem of incorrect interpretation of the results which can be solved by using semantic text analysis and network analysis in particular. Network technologies can be useful in two different cases: the first one is the opportunity of detailed reconstruction of an author’s views. In this case semantic categories (nodes of network) are retrieved from frequency dictionary, then, co-occurrence matrix is created on which network model is based. Another way of research is connected with preliminary determination of the list of categories. This can be productive in a comparative analysis of different texts or authors. In our opinion, betweenness centrality is the best network metric for detection of key categories because it displays nodes close to the majority of network segments. The chosen methodology was verified through two examples from Russian parliament history. In the first example, the author considered the case of a deputy’s change of the faction and concluded on the basis of his speeches that ideologically he was ready for the change of the group. In the second example the author investigated the views of ideological opponents within the same faction and made the conclusion that they took different conflicting ideas from the party program. In general, semantic text analysis proved its practical applicability.
Data Reliability and Trustworthiness through Digital Transmission Contracts

As decision-making is increasingly data-driven, trustworthiness and reliability of the underlying data, e.g., maintained in knowledge graphs or on the Web, are essential requirements for their usability in the industry. However, neither traditional solutions, such as paper-based data curation processes, nor state-of-the-art approaches, such as distributed ledger technologies, adequately scale to the complex requirements and high throughput of continuously evolving industrial data. Motivated by a practical use case with high demands towards data trustworthiness and reliability, we identify the need for digitally-verifiable data immutability as a still insufficiently addressed dimension of data quality. Based on our discussion of shortcomings in related work, we thus propose ReShare, our novel concept of digital transmission contracts with bilateral signatures, to address this open issue for both RDF knowledge graphs and arbitrary data on the Web. Our quantitative evaluation of ReShare’s performance and scalability reveals only moderate computation and communication overhead, indicating significant potential for cost-reductions compared to today’s approaches. By cleverly integrating digital transmission contracts with existing Web-based information systems, ReShare provides a promising foundation for data sharing and reuse in Industry 4.0 and beyond, enabling digital accountability through easily-adoptable digitally-verifiable data immutability and non-repudiation.
THE ADOPTION OF FLY SWATTER GAME TO IMPROVE STUDENTS’ VOCABULARY MASTERY AT MTS HIFZIL QUR’AN MEDAN

This study was aimed to find out improving students’ vocabulary mastery by using Fly Swatter Game at Mts Hifzil Qur’an Medan. The study was conducted by using Classroom Action Research (CAR). The research was conducted into two cycles of action and consisted of four meetings for each cycle. The procedures of the research were planning, action, observation, and reflection. The sample of the research were the first grade of Mts Hifzil Qur’an Medan chosen by saturation sampling. Overall, the total number of the sample was 30 students consisting of all boys. Furthermore, the techniques of collecting the data were conducted by giving test, interviewing the students and the English teacher, observing the teaching and learning process, diary notes and documentation. The instruments used in this research were observation sheet, interview guidelines, diary notes and test. In analyzing the data, the researcher analyzed the quantitative data by using analytic scoring rubric and then comparing the mean score of the students’ writing scores. Meanwhile, the qualitative data were analyzed by making qualitative descriptions by Miles. The result of this research showed that the students’ vocabulary mastery especially in adjective could be improved through the use of Fly Swatter Game. The result of this research showed that there was improving of students’ vocabulary. The mean of pre-test was 47,80. The mean of post test 1 was 65,37. the mean of post-test 2 was 77,23. It indicated that the scores and the mean in second cycle were better than the first cycle. In other words, the students’ are more interest and motivate in vocabulary mastery during teaching and learning process. The students could pronounced the words correctly. Using Fly Swatter Game, the students were eager to study English. By using Fly Swatter Game the students could memorize and understand certain words. Key words: Fly Swatter Game, Vocabulary Mastery
Smart Donate Box in Temples

Now a day donate box cash handling problem in big temple issues like Sri Srirangam temple temple and Akshardham temple, it takes more time to count money by human being. Because it is not stored in an random manner. So, for the calculating the money it is very difficult to collect that money and count that money.  Sometimes the people who are collecting the money are hiding some money from the camera and use for themselves. Because it is not detected in camera the main owner of the temple didn’t knows that. So it is the loss of that owner. It reduces the time as well as the human power required for that. So, we are going to reduce this problem in our project SMART DONATE BOX. It saves the time which is required for the counting money. We are using the image processing in this project. The donate box is divided in sub parts. The notes which the people drops in the donate box are scanned and detected by image processing and the note will automatically drop in the particular part. For the controlling the project we are using microcontroller or arduino.
E-inclusion versus digital divide â€“ a challenge for Romanian educational system within the context of CORONAVIRUS pandemic growth: doi>10.24250/JPE/1/2020/SLT/AMP

The educational system in Romania cannot keep pace with education and technology. Technologies are omnipresent in human networking but they are not operated similarly in the training and educational systems. Although teachers admit the importance and necessity of new technologies in the educational process, these means are barely used in the teaching-learning activities. More often than not, teachers turn to digital means in order to search and prepare information materials and not as educational resources to be exploited in the classroom. In order to benefit from a flexible and open learning system, ICT potential must be fully exploited thus improving professional training and educational systems and facilitating their adaptation to the digital world. The aim of these provisions is to improve education efficiently through promoting personalized learning which is more beneficial and more efficient. Pedagogical integration of open educational resources is a priviledged modality to create a digital inclusive educational environment, whose potential can be exploited in the interest of learners and for diminishing the negative effects of digital divide. The quick pace of growth of Coronavirus pandemic worldwide during the period December 2019 â€“ March 2020, generated complex effects on the educational level, too. Educational factors (teachers, pupils, students, parents, non-formal education agents etc.) faced the prospect to discover another educational universe, unknown for some of them. The digital /virtual educational environment became and was legally defined as the only educational environment for the entire Romanian educational system for an indefinite period of time.
Improving Riding Skills Understanding Using Directed Reading Thinking Activity Strategy (DRTA) Grade IV SD Inpres Bangkala II Kecamatan Manggala Kota Makassar

This research aimed at improving reading comprehension of grade IV students of SD Inpres Bangkala II on Bahasa Indonesia course using Directed Reading Thinking Activity (DRTA). This research applied qualitative approach type Classroom Action Research (CAR). The research was conducted in two cycles where each cycle consisted of three meetings. Every meeting was conducted through the research procedure started from planning, action, observation, and reflection. The subject ofthis research were 27 grade IV students of SD Inpres Bangkala II. The instruments used in this research were observation, evaluation test, field notes, and documentation and the data collection technique applied observation technique, test and documentation technique. Descriptive data analysis and qualitative data analysis were used. The result of the data showed that grade IV students' learning achievement of reading comprehension in SD Inpres Bangkala Il categorized as fair where minimum completeness criteria was 62,96% with 17 students passed. The students ' learning achievement improved in cycle Il where minimum completeness criteria was 92,59% categorized as very good with 25 students passed. It can he concluded that Directed Reading Thinking Activity (DRTA) strategv can improve grade IV students ' reading comprehension skill on Bahasa Indonesia course in SD Inpres Bangkala II
ДЕЯТЕЛЬНОСТЬ КУРАТОРА В КОМПЕТЕНТНОСТНОМ ПОДХОДЕ ПОДГОТОВКИ СПЕЦИАЛИСТОВ

The question of increasing the role of the curator in the new educational process is considered. The ways of forming general and professional competencies of specialists of technical profiles are proposed. Students of the Kuzbass State Technical University of GM-092 and GC -071 groups took part in the discussion of the issue.
Interaksi Manusia Dengan Komputer pada Mahasiswa Semester IV UDN Magetan

This study aims to find out how human factors interact with computers and to find out whether there is an influence on humans as users. This research is a qualitative descriptive study with research subjects in the fourth semester of the Informatics Study Program at the Faculty of Engineering, University of Doctor Nugroho Magetan. Data collection techniques using the method of observation, interviews, and documentation. In carrying out research through 3 stages, namely the pre-field stage, the field work stage, and the completion stage. The data validity technique uses credibility testing with triangulation techniques. While for analyzing the data through three stages, namely the stage of data reduction, data presentation, and conclusion. Based on the above research, it can be concluded that: fourth semester students of Informatics Study Program, Faculty of Engineering, Doctor of Nugroho Magetan as user or user (Brainware), software (hardware) and hardware (Hardware) in the field of human and computer interaction are interrelated so how to design, evaluate, and implement an interactive computer system so that it can be used by humans easily. Human and computer interaction is an activity that is often found in everyday life. Of the three aspects, of course we will not be able to separate, because computers will not be able to operate if one of the three aspects does not exist. One of the most important studies in the field of Human and Computer Interaction is the user interface. The user interface is a part of the system that will be controlled by the user, to achieve and implement the functions of a system. It is also considered as the total number of decision forms.
Towards Explosive Signal Classification at the Edge

different types of anomalies. We build a prototype implementation of AviSense for distributed monitoring.
Application of unsupervised machine learning approach for characteristics of microseismic events at a CO2 injection site.

supervised machine learning algorithm on large volume of well-designed training data, I utilize an unsupervised machine learning algorithm to help cluster the time samples into two groups, that is, waveform points and non-waveform points. The fuzzy clustering algorithm has been demonstrated to be effective for such purpose. A group of synthetic, real microseismic and earthquake data sets with different levels of complexity show that the proposed method is much more robust than the state-of-the-art STA/LTA method in picking microseismic events, even in the case of moderately strong background noise.
Software Engineering Paradigm for Real-Time Accurate Decision Making for Code Smell Prioritization

Software maintenance is a cost-intensive, prolonged, and necessary phase of software development in order to incorporate the changing functional and non-functional requirements of the user. Software maintenance aims at improving software design by identifying and mitigating structural characteristics that may cause future design problems. Data science requires the presence of complex intelligent software systems that automates the task of complex analysis, data visualization aspects of big data available in the modern era of human life. The complex design of such software systems and frequent changing user requirements mandate reducing maintenance efforts for such software systems. Code smell can be present at many levels in the source-code and there is a large number of code smells that a maintenance team may be dealt with during the process of maintaining a software system. Moreover, not all of these code smells are involved in the degradation of the quality aspect of a software system. Thus, such code smells can be temporarily ignored in order to focus only on the key code smells that are responsible for the quality degradation of the software system. This mandates that the existing code smells of a software system are prioritized in order to reduced maintenance efforts and save time and involved cost. Moreover, efficient methods are required to detect various code smells of a software system with higher accuracy. Therefore, this chapter considers efficiently identifying various code smells and further reducing maintenance effort by prioritizing code smells present in the software system. This book chapter aims at efficiently detecting seven kinds of code smells, namely, feature envy, long method, god class, long parameter list, refused bequest, duplicated code, and shotgun surgery. Further, the proposed approach of this chapter is empirically validated by carrying extensive experimentation on state-of-art object-oriented software systems. The obtained results are encouraging and useful.
Beszámoló a BIBFRAME Workshop in Europe 2020 – 4th Annual Meeting rendezvényről

Preparing for the BIBFRAME workshop in 2021 it is worth reviewing what happened at the 2020 event, at which 275 participants were present from 29 countries. Papers were read by representatives of the Library of Congress, Stanford University Libraries, OCLC, Casalini Libri (Italy), @Cult and Kungliga biblioteket (Sweden), University of Alberta Library, Memorial University Libraries in Newfoundland and Labrador (Canada), and the National Szechenyi Library, Budapest. This annual event provides a forum for institutions and professionals wishing the renew cataloguing, experimenting with the BIBFRAME format for exchange. Last year’s event was organized online because of the pandemic. It provided a wide spectrum of implementations and a proof of the performance of this new communication format elaborated to replace MARC 21 by the Library of Congress. Papers and the round-table discussion informed about other solutions based on linked data. It was a general opinion at the conference that institutions should co-operate and exchange data more extensively.