Reviewerly/exHarmony huggingface dataset:
Compressed Sensing Super-Resolution Method for Improving the Accuracy of Infrared Diagnosis of Power Equipment

The infrared image of power equipment plays a crucial role in identifying faults, monitoring equipment condition, and so on. The low resolution and low definition of infrared images in applications contribute to the low accuracy of infrared diagnosis. A super-resolution reconstruction method of infrared image, based on compressed sensing theory, is proposed. Firstly, by analyzing the variation of high-frequency information in infrared images with different blurring degrees, the image gradient norm ratio is introduced to estimate the blur kernel matrix in the degradation model a priori. Then, in the process of image reconstruction, we add the full variational regularization term to the traditional compressed sensing model, and design a two-step full variational sparse reconstruction algorithm. Experimental results verify the effectiveness of the method. Compared with the existing classical super-resolution methods, this method offers improvement in subjective visual effect and objective evaluation index. In addition, the final image recognition and infrared diagnosis experiments show that this method is helpful to improve the accuracy of infrared diagnosis of power equipment.
Set of unconditional criteria for optimal S-blocks

In this work, work has been carried out to systematize and analyze the main criteria that S-boxes must satisfy in order to ensure a high level of cryptographic strength of symmetric cryptographic algorithms. The set of all possible criteria for their assessment can be divided into unconditional and conditional. The unconditional criteria are those that must be met by S-boxes in order to ensure their resistance to major cryptanalytic attacks. Conditional refers to additional criteria that S-boxes must meet in order to compare S-boxes that meet the unconditional criteria. The paper presents a reasonable choice of a set of unconditional criteria that determine the optimality of S-boxes.
RESEARCH ACTIVITY IS AN IMPULSE TO SELF-DEVELOPMENT OF STUDENTS

The article provides a justification, if the psychological and pedagogical process is provided with means and teaching methods that contribute to the development of motivation for success among students at each level of knowledge acquisition - in the mode of self-learning and self-control, where the teacher is given a consultative coordinating role, then it is possible to provide a guaranteed learning result – a self-developing personality.
Assistance for the Development of Game-Based Learning Media in the New Normal Era for Teacher of MTs Negeri 9 Jember

During the COVID-19 pandemic, educators must ensure that teaching and learning activities continue, even though students are not in school. The solution is that educators are required to design online learning as an innovation in the use of technology. Learning at MTs Negeri 9 Jember during the COVID pandemic was carried out using the WA group, google classroom, or google meet. The learning media used by educators at MTs Negeri 9 Jember include powerpoints, videos, pictures (photos). The learning media used by MTs Negeri 9 educators are not effective and less attractive. The media used so far have not involved students to take an active role in the learning process. Therefore, training activities for the development of effective and interesting learning media are needed. One form of interesting learning media is game-based learning media in which there are many choices so that teachers just use it based on the materials to be presented. This community service activity is carried out in the form of training, and assistance by applying a modified Learning Cycle (3E) learning model, which consists of Exploration, Explanation, and Elaboration. Through this activity, partner school teachers are expected to (1) be able to innovate in carrying out classroom learning by utilizing ICT (2) improve the ICT capabilities of partner teachers with many partner teachers developing game-based learning media
Review: Different approaches for Outlier Detection in Data Stream Mining

Stream data differs from regular data in that it is continuously generated by many applications, posing unique processing issues such as enormous, limitless, and idea drift. For the researcher, data mining was one of the most exciting fields of study. In today's world, people are attempting to extract more information from data with order to aid in day-to-day forecasting. Outlier detection is utilized in a variety of applications, including fraud detection, intrusion detection, environmental monitoring, and medical diagnostics, so it's important to spot outliers in data streams. Outlier identification is done in a variety of ways. For outlier detection in data streams, some of them employ the K- Means technique, which aids in the formation of a similar group or cluster of data points. In any application, outlier detection is critical. In this research, we examined various outlier identification algorithms for stream data in depth and provided the results. Keywords—outlier, outlier detection, STORM, k-means, k medoids
ASSESSMENT OF ECOLOGICAL DANGER OF SEEPAGE WATER SOLID WASTE LANDFILL OF KOKSHETAU

The impact of landfills on the environment is not limited to the dumping of garbage, since the pos-sible penetration of leakage through the subsoil can lead to contamination of groundwater. The study (2021) presents the results of studying the elemental composition of filtration waters and soil of the solid waste landfill in Kokshetau, the period of operation of which at the time of the study was 50 years.Analysis of filtrate samples obtained from landfills showed that the filtrate is a highly concentrated solution containing toxic components. The chemical composition of the filtrate, developed by a gener-ally accepted method from surface aggregation, showed a high content of organic matter and a BOC5 / COC ratio of about 0.01-0.005, which indicates a high content of bioresistant components. It is a liquid from black to yellow-brown in color with a specific odor and a slightly alkaline reaction of the medium (pH = 7.5-8.25). The concentration of heavy metals does not exceed the maximum permissible con-centration for water. The pH value, ammonia ions, high mineralization and concentration of chloride ions are the characteristics of the garbage filter at the operational stage. Normalization of soil quality by chemical indicators showed that at sampling points at a distance of 500 and 1000 m from the landfill corresponds to a dangerous level of pollution, and at a greater distance decreases, these soils belong to the second level of pollution. According to the composition of the filtrate, the landfill belongs to the old landfills.Key words: municipal solid waste, filtration water, environmental impact, pollutants, toxic sub-stances.
A Summary Construct and Multiple Level Viewers in Natural Language Programming

Natural Language Programming(NLP) is good for programming codes maintenance and understandability, however it cannot automatically summarize paragraphs of codes.Summary of paragraphs of codes can increase the code understandability a lot.Therefore in this article, a new Summary Construct is proposed, and then we compare it with two classical ways of summary expression.Next an idea of multiple level viewers is given, and this can hide details in multiple levels of program codes.Lastly, I write an algorithm of a multiple level viewer using the new Summary Construct.
Which neural network makes more explainable decisions? An approach towards measuring explainability

Neural networks are getting increasingly popular thanks to their exceptional performance in solving many real-world problems. At the same time, they are shown to be vulnerable to attacks, difficult to debug and subject to fairness issues. To improve people’s trust in the technology, it is often necessary to provide some human-understandable explanation of neural networks’ decisions, e.g., why is that my loan application is rejected whereas hers is approved? That is, the stakeholder would be interested to minimize the chances of not being able to explain the decision consistently and would like to know how often and how easy it is to explain the decisions of a neural network before it is deployed. In this work, we provide two measurements on the decision explainability of neural networks. Afterwards, we develop algorithms for evaluating the measurements of user-provided neural networks automatically. We evaluate our approach on multiple neural network models trained on benchmark datasets. The results show that existing neural networks’ decisions often have low explainability according to our measurements. This is in line with the observation that adversarial samples can be easily generated through adversarial perturbation, which are often hard to explain. Our further experiments show that the decisions of the models trained with robust training are not necessarily easier to explain, whereas decisions of the models retrained with samples generated by our algorithms are easier to explain.
Marking a collection of texts with the keywords – automation aspects

This article presents and discusses the results of automatic indexing of keywords in 27 functional collections of Russian texts in three functional styles: scholarly, journalistic and fiction. The approach to the processing of markup results is presented and the data on the consistency of experts are given. Depending on the nature of the project’s problems, the design tasks provide for an automated system of document and keyword identification. The aim of this study is to identify the problems of a modified automatic text scoring system (CAPT) with keywords and to analyse in detail the results of the scoring test in order to create the conditions for the next discourse. These functions constitute the content of one of the research stages aimed at creating an effective algorithm for CS extraction for Russian language.
Innovative, Ideal, And Fun Classroom Management To Improve Reading Literacy Of Madrasah Ibtidaiyah Students

This study aims to describe: 1) innovative, ideal, and fun classroom management plans to improve students' reading literacy in class IIB at MIN 2 Ambon, 2) The teacher's role in classroom management is innovative, ideal, and fun to improve students' reading literacy in class. IIB at MIN 2 Ambon, the role of the principal in supervising the management of innovative, ideal, and fun classrooms to improve students' reading literacy in class IIB at MIN 2 Ambon, and 4) supporting and inhibiting factors for innovative, ideal, and fun classroom management to improve reading literacy of students in class IIB at MIN 2 Ambon. This type of research is a qualitative research with a phenomenological research design. Data collection techniques using interviews, observation, and documentation. The results showed that in MIN 2 Ambon, innovative, ideal, and fun classroom management had been carried out well to improve students' reading literacy in class IIB at MIN 2 Ambon. Classroom management planning is carried out by arranging facilities, teaching management and student arrangements. The teacher's role in learning is to be a class manager or teaching manager, the teacher also acts as a facilitator, motivator, demonstrator, mediator, and evaluator. The principal's role is to monitor teacher performance continuously in literacy activities and programs in schools. The supporting factors and inhibiting factors for classroom management are the physical environment, social emotional condition and organization at the MIN 2 Ambon school
Analisis Kesulitan Siswa Dalam Pembelajaran Matematika dan Upaya Mengatasinya di Kelas IV SD Negeri Gunung Bunder 05

Mathematics is one of the subjects taught at various levels of education from elementary school to high school level. Based on observations, it was found that students had difficulties in mathematics. The problem is related to the learning system so that students have difficulty working on questions and making mistakes is one factor. Another difficulty is the lack of learning media, learning variations and low learning outcomes so that they do not exceed the learning objectives taught by the teacher. This study aims to determine the analysis of students' difficulties in learning mathematics and efforts to overcome them in the fourth grade of SD Negeri Gunung Bunder 05. The type of research used is a field qualitative research method that collects data using interview and documentation techniques. The subjects of this study were class IV and class IV guardians at SD Negeri Gunung Bunder 05. Based on the results of the research and discussion, it was concluded that there were several teaching preparations prepared by the fourth grade homeroom teacher, namely preparing several learning administrations, one example of which was preparing the latest model lesson plans for elementary school teachers using lesson plans and thematic syllabus where each subject was themed. The implementation of the mathematics learning process in grade IV includes approaches, strategies and learning methods that are applied to student activities. This can be seen from the approach used by the teacher, namely the behavioral approach (behavior therapy), an approach to learning activities that emphasizes behavioral theory as an application of behaviorism theory. The strategy used by the teacher in learning mathematics is a learning strategy that is oriented to student activities. The method applied by the teacher is to combine several methods, namely the lecture method, question and answer, discussion, cooperative learning groups and exercises whose use emphasizes student activities by using different learning methods and strategies, so the learning process in class will have a different atmosphere with finally the material being taught. and learning objectives will be delivered properly.&#x0D; &#x0D; Keywords: Students' Difficulty, Mathematics Subjects, Efforts to Overcome.
Emerging Trends of Application in Data Science Security

Data science is secure in with supervision huge natural world of information to pull out major and logical outcomes/conclusion/design.It is a recently growing field that incorporates a range of exercises, for example, data mining and information research.It utilizes actions extend from mathematics, insight, and data innovation, Computer programming, information building, design recognition and learning, observation, and better processing.This article gives a definite attention on the topic of the various data science innovation.
IoT for analyzing and investigating digital forensics tools using cloud computing

One of these articles examines how cloud computing affects standard digital proof methodologies and offers some suggestions on how to improve digital proof reviews in the cloud. As Cloud-Computing gains traction as an IT business solution, it is attracting the attention of an increasing number of companies as a viable migrations path for their IT infrastructures and business strategy. The criminal's element among has made aware of the centralization of data stored in clouds. Then Data Centers and Clouds Service providers are becoming targeted for assault. Inside the coming years, implementing a Forensics-as-a-Service (FaaS) solution may be the only viable option, but until it is consented upon as a guideline and executed by service suppliers, participants are completely reliant on clients receiving a few assurances in their service level agreements to allow the retrieval of users and the systems logs on supply.
Efficient Mining Support-Confidence Based Framework Generalized Association Rules

Mining association rules are one of the most critical data mining problems, intensively studied since their inception. Several approaches have been proposed in the literature to extend the basic association rule framework to extract more general rules, including the negation operator. Thereby, this extension is expected to bring valuable knowledge about an examined dataset to the user. However, the efficient extraction of such rules is challenging, especially for sparse datasets. This paper focuses on the extraction of literalsets, i.e., a set of present and absent items. By consequence, generalized association rules can be straightforwardly derived from these literalsets. To this end, we introduce and prove the soundness of a theorem that paves the way to speed up the costly computation of the support of a literalist. Furthermore, we introduce FasterIE, an efficient algorithm that puts the proved theorem at work to efficiently extract the whole set of frequent literalets. Thus, the FasterIE algorithm is shown to devise very efficient strategies, which minimize as far as possible the number of node visits in the explored search space. Finally, we have carried out experiments on benchmark datasets to back the effectiveness claim of the proposed algorithm versus its competitors.
A Analysis of Interest Read Libraries to Improve Student Learning Outcomes Man 9 Jombang

The library as an institution that manages information sources should be used as the main key in the existing education and training process, both in the school environment, outside of school, the world of work and society in general. However, the reality is still far from expectations. Libraries are still not really popular in the community, this is indicated by the low interest in reading in the community and the lack of awareness that learning must find information or answers to the problems they face, namely by reading. This very low reading habit makes the ability of some students at school to be low. Therefore, the analysis of student library reading interest at MAN 9 Jombang. It is very necessary to find solutions in an effort to improve student learning. Because with a high enthusiasm for learning will spur very high achievement for students.
Hiding information by using Discrete Laguerre Wavelet Transform with new algorithms

In this work, the focus was on embedding images and hiding image information in another image by mixing the two images analyzes using the new Discrete Laguerre Wavelets Transform (DLWT) by Approximate and Details coefficients. This method is used for the first time in this field to embedding two images and hide submerged image features. The results were compared with other waveforms indicating that the new wavelet transform proved efficient during the application of two simple examples, including immersing two mysterious images, the other example being the mask and the face.
Decision Tree-Based Weather Prediction

Weather is formed from a group of weather elements and can be changed fast. For example, in the morning, afternoon, or evening, the weather can be different for each place and every hour. Weather is the condition of the air that occurs in a narrow place and lasts for a short time. Weather conditions in a place can be determined by many factors, such as air pressure, humidity, wind, sunlight, and so on. Therefore, by looking at these factors it can be estimated the weather that will occur the next day. Fishermen and farmers are fields of work that are closely related to weather forecasting, accurate and fast weather predictions are needed by these fields to carry out various activities. The amount of rainfall that occurs cannot be determined exactly but can be predicted or estimated. The application of determining weather information is needed, hence, the prediction can be utilized optimally by the community. The design of a system that will classify automatically can be developed by applying machine learning methods, one of them is used in this study, i.e., C.4.5 Algorithm using weather data that a reference in determining the weather conditions whether not rainy, rainy, light rain, or heavy rain.
Error detection and comparison of gesture control technologies

&lt;span&gt;This paper showcases the study and observation on the error occurrence in gesture control technologies. An arduino-based gesture control environment has been developed by using the arduino board to use motion gestures to control the contents on the screen. This environment is made using position sensitive diodes as sensing devices, arduino as a micro-controller and Python to execute commands in the system. It is performed on 2 different software applications namely Google Chrome and VideoLAN Client Media Player. In Google Chrome gestures are used to traverse between tabs and also move up and down within a web page, whereas in VideoLAN Client Media Player gestures are used to control the volume and speed. Through this, the difference between two technologies i.e., infrared and ultrasonic are worked and compared. Various data visualization cues are prepared to better understand the error and the factors causing it. Thorough investigation of factors affecting the error has been done using our observation. The future of this technology and its limitations have been also discussed.&lt;/span&gt;
Pemanfaatan Aplikasi Meeting Daring Zoom Pada Anak Sekolah Di Perumahan Griya Duren Tuntungan

One of the effects of Covid-19 that has attacked Indonesia, especially in the field of education, is that it requires learning to be carried out using distance learning media. One of these distance learning media is the Zoom online meeting application. Many school children do not understand how to use the features provided in the Zoom application. The provision of information on the use of the features that exist in the zoom is still considered very lacking for school children in general, considering that these school children cannot directly receive training on the use and utilization of the application. Zoom meet is a face-to-face conference platform where educators and students can interact directly like meeting in person in class. In this application there are many features provided and offer the easiest facilities for individuals who want to join.
Penerapan Aplikasi Miracle Salon

The application of the Miracle Salon application is the result of research with the output of appropriate technology software that will be applied to user partners, namely Miracle Salon which is engaged in the Beauty business. The partner location is next to the AMIK Widyaloka campus, Medan, Jalan TB Simatupang No. 161 A, Medan Sunggal, North Sumatra. The problem faced by partners so far is that promotions are carried out only by word of mouth so that people do not know and know less about the miracle salon. Because the promotion is only done by word of mouth, the fans are only people around the miracle salon environment. To introduce partners more broadly, our Devotion team donated the Miracle Salon Application to be used by partners through mentoring and training for partners. This service is carried out starting from good relations with partners, analyzing ongoing systems, designing, and training partners to skillfully use development and maintenance. With the completion of the training, it is hoped that partners will have the skills to use the application so that miracle salon promotions are known to the wider community and more customers.