Reviewerly/exHarmony huggingface dataset:
Research and implementation of non-linear management and monitoring system for classified information network

Abstract In order to better realize the secret-related information monitoring system, an algorithm based on a nonlinear network is proposed and is combined with the traditional algorithm. This article mainly analyzes the theory of nonlinear networks, designs and trains new network parameters according to their own needs, and combines the nonlinear network as a feature extractor with the existing intrusion detection and wandering detection algorithms, which greatly improves the recognition ability of traditional algorithms. The main feature of a nonlinear network is that it can extract the positional features of objects from the network while also extracting object features, that is, positioning and classification are realized in the same network. As a feature extractor, this network can not only have a higher recognition rate than background difference, hog, and other algorithms but also have a greater ability to extract position information than other convolutional neural networks. The successful application of nonlinear production network systems in TV stations at all levels has greatly improved the editing and production capability and efficiency of TV programs. How to ensure the safe, reliable, stable, orderly, and efficient operation of nonlinear production network systems requires vendors and TVS Taiwan technical staff to jointly conduct in-depth research and summarize their findings. In this article, from the perspective of TV users, information components in nonlinear production network systems are analyzed, including class, title management mode, storage space management, material management, security management, and workflow management in nonlinear systems. Make some analysis, discussion, and summaries of network system and operation management problems. The experimental results show that the nonlinear algorithm in this article has a significant advantage over the original tracking algorithm; that is, most tracking algorithms do not have the ability of category recognition during the initial tracking process, which means that these tracking algorithms cannot accurately know what they are tracking. Because the nonlinear network has the ability to output categories, whether it is initial tracking or tracking loss recovery, nonlinearity has fundamentally better advantages than other tracking algorithms. Therefore, it can be predicted that there is a strong recognition ability in the later monitoring and wandering detection. It has been proved that the nonlinear algorithm can be effectively applied to the secret information monitoring system.
The 100th anniversary of MISI-MGSU: milestones, events, achievements

2021 marks the 100th anniversary of MISI–MGSU –– the leading civil engineering university in the USSR and modern Russia. The years of the university’s century-old history were filled with bright events and outstanding achievements in the field of education, science, technology and public life, but the point is that MISI–MGSU has always been at the forefront of the country’s development, contributing to the accomplishment of comprehensive strategic tasks dealing with the Russian economy to ensure the well-being of every citizen in the country. Many research papers have addressed the history of the university. It is impossible to address all major milestones of the century-long history of the university development in one article or even a book. This article is intended to introduce readers to the most significant dates in the history of MISI-MGSU and, thereby, identify the idea that brings generations of teachers, students and graduates into a single community proudly called “the MISI people”. These dates are interwoven with the history of the country, the industry, institutes, departments, scientists, teachers and students, and everyone whose life is inextricably linked with the main civil engineering university of Russia. The National Research Moscow State University of Civil Engineering celebrates its centenary, relying on the experience and traditions of many generations of scientists, teachers and students, developing its established research schools and creating new areas of research, promptly responding to the needs of the real sector of economy and society as a whole. The university faces ambitious tasks, and its entire previous hundred-year history is the key to their successful solution.
Automatic Translator from Portuguese (Voice and Text) to Portuguese Sign Language

One of the major focuses of technology, engineering and computer science is to solve problems and improve the quality of life in health. The relationship between health and technology has made great advances in the last decades, and many cooperations are foreseen. Some citizens still have to deal with many obstacles daily to cope with the society as it is designed. One of the obstacles citizens deal with is deaf and hearing impairment. In Portugal, there are about 100,000 to 150,000 people with some level of hearing loss, and of these, around 30,000 people use Portuguese Sign Language as their mother tongue ([3]; National Institute for Rehabilitation, 1996). The greatest difficulties are appropriate or amend if necessary. encountered by them are poor communication with hearing people and the need of a translator person. Communication became even more complicated with the mandatory use of face mask, respect for the maximum number of people per division and social distancing due to the COVID-19 pandemic. To diminish or even solve this issue, the authors developed an automatic voice and text translation system to Portuguese sign language with captions. Sign language will be very useful for deaf and hearing impairment citizens, and captions will be useful for deaf and hearing impairment citizens who don’t understand sign language. For that, programming language tools were developed to create a translator with those requests. This article describes the developments and achievements. For the proof of concept, the translator started with 16 images in the database and reached a confidence level between 70 and 90%. This is an incentive to further developments that authors are continuing to produce more improvements in the developed tool.
Artificial Neural Network: A brief study

An Artificial Neural Network (ANN) is a data processing paradigm inspired by the way biological nervous systems, such as the brain, process data.The unique structure of the information processing system is a crucial component of this paradigm.It is made up of a huge number of highly interconnected processing elements (neurons) that work together to solve issues.ANNs, like humans, learn by example, and a huge dataset results in more accuracy.Through a learning process, an ANN is trained for a specific application, such as pattern recognition or data classification.This is also true of ANNs.This paper provides an overview of Artificial Neural Networks (ANN), their working, and training.It also describes the application and benefits of ANN.
Analisis Penggunaan Dana Biaya Operasional Sekolah Reguler Terhadap Hasil Belajar Siswa Jenjang SMP

Abtract: This study aimed: (1) to describe the use of Regular School Operational Costs (BOS) funds in Junior High School (SMP) level, and (2) to describe the effect of the use of Regular BOS funds for the quality of learning expenditure on the learning outcomes of SMP level students. This research was an associative-causal research which explained the use of Regular BOS for quality of learning expenditure and its effect on student learning outcomes. The research population was all SMP in Maros Regency, while the sample was taken using purposive sampling technique. Data collection was done by documentation technique. Data analysis for hypothesis testing was carried out with simple linear regression analysis and t-test. The results showed: 1) The use of Regular BOS funds in SMP level was focused on the quality of learning expenditure; 2) The use of Regular BOS funds for quality of learning expenditure had an effect on student learning outcomes of SMP level students in Maros Regency. Keyword: the use of Regular BOS, learning outcomes
Application of the discovery method in the study of mathematics in high school

The article deals with the problem of applying the discovery method in the study of mathematics at the high school level from the perspective of the formation of specific mathematics competences. An example of classroom teaching-learning is presented in the framework of studying the notion of permutations in high school, using the discovery method and the impact it had on students. It is concluded that the discovery method effectively contributes both to the formation of school competences and to increasing the interest of high school students in studying mathematics.
OA and the Academy: Evaluating an OA Fund with Authors’ Input

When the pilot ended in June 2014, the Library was
PERANCANGAN LIE DETECTOR MENGGUNAKAN ARDUINO

In this paper, the author will discuss various method approaches that have been developed to detect lies, including the detection of lies based on skin conductivity, handwriting form, written content, voice analysis, thermography, and gestures. Lie Detector is very helpful in the process of revealing a crime case with the method of investigating the perpetrator of a crime. Disclosing a statement or confession from a criminal with a Lie Detector seeing and analyzing the polygraph&#x0D; on the Lie Detector. However, Li's design of This e Detector with Arduino is not encouraging with unintended results. The author has tried to imp
Online Residual-Based Key Frame Sampling with Self-Coach Mechanism and Adaptive Multi-Level Feature Fusion

Key frame sampling is a common component in video tasks. Putting more effort into key frames, rather than processing all frames equally, can significantly reduce computational costs and improve processing efficiency. This paper presents ORSampler, an adaptive Online Residual-based key frame Sampler. ORSampler relies on feature residuals to sample key frames and decouples from subsequent video tasks. To facilitate ORSampler, a self-coached mechanism is designed to speed up learning, and an adaptive multi-level feature fusion is proposed to fit the diversity of subsequent video tasks. OR-Sampler has a fast inference speed and can work online. Extensive experiments on two typical video tasks verify the effectiveness and generality of our proposed ORSampler.
Penggunaan Media Audio Visual untuk Meningkatkan Keterampilan Menyimak Dongeng Pelajaran Bahasa Indonesia

This research was motivated by the learning conditions of Indonesian, especially in class VI of SD Negeri 24 Pallimae with the subject matter of fairy tale listening skills. So the evaluation value is low. This is because teachers only use practice methods and do not use media in learning. The method used in this study is Class Action Research. Research is carried out in two cycles, one cycle consists of learning planning, learning implementation process, observation and reflection activities. The researcher took the research subject of grade VI students of SD Negeri 24 Pallimae, Poleang District, Bombana Regency with a total of 20 students. The results showed that in the implementation of the end of cycle 1, out of 20 class VI students, an average score of 34.6 from a total score of 60 or reaching 57.7% was obtained, then at the end of the 2nd cycle, from 20 class VI students, an average score of 44.1 was obtained from a total score of 60 or reached 73.5%. This research has proven that the use of audio-visual media can increase students' understanding of the content of fairy tales in Indonesian lessons in class VI of SD Negeri 24 Pallimae, Poleang District, Bombana Regency, Academic Year 2021/2022.
PERANCANGAN DAN PEMBANGUNAN SISTEM INFORMASI MONITORING ORMAS PADA BADAN KESBANGPOL SUMATERA UTARA

Community organization is a group formed by the community voluntarily based on the common aspirations, needs, and goals to be achieved. This community organization is not just built, but must have a clear permit. Many community organizations are formed in every region, not least in the province of North Sumatra. The agency that oversees all these organizations is the National and Political Unity Agency (BKBP) of North Sumatra Province. However, there is a current problem that is experienced, namely the absence of a forum that directly connects BKBP with existing community organizations, making it difficult for BKBP to monitor, know the location of the organization, and also make it difficult for the organization in terms of registering community organization permits because it still has to be done manually with bring all the files to the BKBP office. For this reason, this research will overcome these problems by utilizing technology through the development of a monitoring information system for community organizations, where this system can be used for registration of permits for community organizations, viewing activity reports, monitoring organizational activities, and reporting organizations that are troubling the community. This system is web-based using the PHP programming language and the Laravel framework.
IMPLEMENTASI ALGORITMA C 5.0 DALAM PREDIKSI STOK BARANG BERDASARKAN PENJUALAN BAHAN PERTANIAN CV. MITRA SEJATI

CV. Mitra Karya Sejati was founded in 1998 by Tardi Sutanto as a trading company in the field of agricultural materials, such as multipurpose fertilizers, pesticides and seeds. CV. Mitra Karya Sejati is often in short supply due to the increasing demand for consumer goods and even some items are not sold, so it is difficult to predict the stock of goods in the warehouse so far based on sales data which is used only as data to report monthly sales results which will then not be used again. . Companies need a sales forecasting system to help you plan stock items in the future. The application of C 5.0 to data mining can make it easier for companies to estimate stock of goods based on sales of agricultural materials. The Data Mining application is built using the PHP programming language and MySQL database to reduce inventory planning losses. Through the proposed system can help companies estimate the stock of goods to be provided to minimize losses.
An Analysis on Students’ Ability in Writing Descriptive Text

English is the language used by almost everyone. In Indonesia, English is the first foreign language and a required subject in schools. Nowadays, not only a foreign language but also taught from secondary up to university. Learning English aims to master the four basic language skills of listening, speaking, reading, and writing. Students also begin to interact with others at the college level, they begin to learn to communicate in writing (Rianti 2016). In this section, the author focuses on writing. This research is a descriptive method. According to Nazir (1988:63) says that Descriptive method is a method of researching the status of a group of humans, an object, a set of conditions, a system of thought, or a class of events in the present. The purpose of this descriptive study was to create a description, picture, or painting in systematic, factual, and accurate information on the facts, properties, and relationships among the phenomena investigated. This research was conducted in SMA 2 Bangkinang Kota, located in Abdul Shaleh N0. 55, Bangkinang, Kampar, Riau. The total of students is 28. They consist of 12 males and 16 females. The main concern of this research was focused on the Analysis of students'' writing skills of descriptive text in the second grade of SMA 2 Bangkinang Kota. In this discussion of the result of students'' scores on writing ability of descriptive text. The result of the tests for the students was fair. Score the range showed that the mean score of test 1. The test of the students is categorized as good and fair. It means the level of excellence is no students or 0 % students. The level good is 8 or 32 % students. The fair level is 20 or 80 % students. From the discussion above the level of students in the test are fair. The student''s problems in writing skills of descriptive text are the student''s lack of vocabulary, which indicates the students did not bring a dictionary during when learning process and the students think that English vocabulary is hard to be learned. The students should always bring a dictionary when English learning. As already mentioned in the first chapter, the aim of this study are to describe students’ ability in writing a descriptive text focused on Content, Grammar, Vocabulary, Organization, and Mechanics in the Second Grade of SMA 2 Bangkinang Kota. The researcher would like to conclude that 28 students at XI IPA 3 in SMA 2 Bangkinang are fair in writing descriptive text. Based on the data presentation and the previous chapter, the researcher gets a conclusion of the research. The students'' writing skill in the descriptive text is fair. The result shows the mean score of the test is 69. It is classified that the students writing skills in the descriptive text of test are fair to level.
PENENTUAN JUMLAH PENYALURAN DANA BOS PADA MTs MENGGUNAKAN ALGORITMA NAIVE BAYES

&lt;p&gt;&lt;em&gt;School Operational Assistance (BOS) has an important contribution to increase access to education in Indonesia. Deli Serdang Regency is a district that has a large number of residents, schools and students with a large number of schools and students, so sometimes the budget funds for BOS funds are not sufficient to provide all schools with the total number of students listed in the madrasah emission data. With the lack of government budget for BOS funds, a cut in the distribution of BOS funds was carried out in each school which was usually done manually by only looking at the number of students registered in the EMI data and determining the percentage of distribution of BOS funds to each school regardless of the needs that must be met at the school. In this final project, the researcher makes a data mining system for determining the amount of distribution of BOS funds in Deli Serdang Regency, this system is built using the Naive Bayes algorithm as a means of calculating BOS funds according to predetermined criteria, this system uses the PHP programming language using the CodeIgniter framework and MySQL as database method used in this system is waterfall. This system was built with the aim of making it easier to distribute and so that the distribution of BOS funds is right on target to schools in need.&lt;/em&gt;&lt;/p&gt;
Problems in Reading Comprehension of TOEFL Prediction Test

TOEFL is a standardized test that has been used as requirement to graduate from university. However, students frequently struggle to pass the TOEFL reading test. Therefore, this study was aimed to identify (1) which sub-skills were the most challenging for students in reading comprehension of TOEFL test and (2) factors affecting the students’ difficulty in answering the reading comprehension section of the TOEFL test. This study applied both quantitative and qualitative approaches. A total of 32 students from various majors of Universitas Pamulang were samples for the test. The data were obtained by test results and interview results. The test result showed that the most challenging problems in reading comprehension were vocabulary (25 %), unstated detail question (20%), stated detail question (18%), pronoun referent question (15%), inference question (12%), and main idea question (10%). Moreover, the interview results revealed that lack of vocabulary, slow reading, and lack of strategy were factors affecting students’ difficulty. Therefore, TOEFL teachers and trainers are strongly advised to devote more time to prepare for the topics with the highest percentage of errors.
PEMBANGUNAN SISTEM INFORMASI MANAJEMEN SEKOLAH BERBASIS WEB GUNA MENINGKATKAN EFEKTIFITAS PENGELOLAAN AKADEMIK DAN NON AKADEMIK PADA SMPN 1 PERCUT SEI TUAN

&lt;p&gt;Many schools have implemented information systems that can make it easier for users to access the required data. However, SMPN 1 Percut Sei Tuan still uses manual methods to manage academic and non-academic data which causes the process of delivering academic and non-academic information there to not run optimally and lack of academic and non-academic communication between teachers and students. Based on this background, a school management information system was built as an effort to increase the effectiveness of academic and non-academic management at SMPN 1 Percut Sei Tuan.&lt;/p&gt;
PENCARIAN ARTI AYAT AL-QUR’AN DENGAN SPEECH RECOGNITION MENGGUNAKAN ALGORITMA BERRY RAVINDRAN BERBASIS ANDROID

Students in grades 4-5 Elementary School Al-Ikhlas need an Android-based application to find the meaning of the Qur'anic verses to help and make it easier for students to find the meaning of the verses of the Qur'an and do the tasks given by Islamic Religion Teachers. Making the application's search for meaning verses of Qur'an using methods matching string (string matching) that is implemented in the search process said. String matching will perform the search process for a string or several strings found in a text or string. The algorithm used in string matching is berry ravindran, this algorithm has 2 phases, namely the preprocessing phase and the search phase. The phase preprocessing serves to create a shift value that will be used in the search phase. The value of the search phase is obtained from the rules of the algorithm. The Algorithm is berry ravindran implemented to perform analysis string matching in the application of finding the meaning of the verses of the Qur'an. This application to search for the meaning of the verses of the Qur'an can search for the meaning of the verses of the Qur'an by using voice, it is hoped that this voice search feature can facilitate the search for the meaning of the verses of the Qur'an. Speech recognition is implemented using one of the Google Cloud Platforms, namely the Google Speech API to detect spoken words when searching, so that it can make it easier for users to search for the meaning of the verses of the Qur'an. It is hoped that this application can be used as a source of knowledge and useful for grade 4-5 students at Elementary School Al-Ikhlas so that they are more diligent in reading the Qur'an and finding out the meaning of the verse, in order to guide them to the right path to the path that is pleasing to Allah.
The Use of Podcasts for Listening Comprehension

This study aimed to investigate what are the effects of podcasts towards the students' listening comprehension during online learning and how are the students' perceptions of using podcasts for listening class. This study used a descriptive qualitative approach to describe the characteristic of the data. The informants in this study were one teacher of English and thirty-one students at Az-Zahrah Islamic Senior High School Palembang. Data collection techniques used interviews and questionnaires. The findings from this study are the use of podcasts for listening comprehension. The English teacher commonly teaches listening without using certain learning media. Therefore, students argued that podcast media was an accessible, helpful, and suitable medium for teaching virtual listening for eleventh-grade students at Az-Zahrah Islamic Senior High School Palembang. However, students seemed to be unfocused during the online learning because slowly internet connection became an issue and monotonous learning. Therefore, the teacher would be interested in using podcast media to attract students' attention and interests. It could also motivate them to learn virtual listening independently to improve their listening skills and comprehension.