Reviewerly/exHarmony huggingface dataset:
A Hybrid Quality Control Strategy for Consumption Data on Petroleum, Oil and Lubricants by Oil Equipment

Petroleum, oil and lubricants (POL) is critical to the functioning of oil equipment.It is very important to maintain the quality of POL consumption data of oil equipment.High-quality POL consumption data provide reliable datasets for computing the annual POL supply quota of oil equipment and improving the energy efficiency of such equipment.Based on the data analysis platform SPSS, this paper designs a hybrid quality control strategy called SEIB-K for POL consumption data of oil equipment, which couples the expectationmaximization algorithm with multiple imputations (EI), box plot (B), and kappa coefficient (K).The SEIB-K can systematically analyze the quality of actual POL consumption data, identify the missing items, abnormal items and contradictory items.Example analysis shows that our strategy could significantly improve the quality of POL consumption data.The research results provide a technical support for accurately determining the annual POL supply quota of oil equipment.
Wavelet and fractal analysis based news spreading model

The aggression of the Russian Federation in Ukraine has exposed a strategic problem, derived from an unwillingness to fully oppose the information confrontation. Media could do even more damage to the country’s defense capabilities than military action. Spreading fake news can be used to misrepresent, distort, and create a negative image of an informational event in society, as well as instill fear, panic, or downplay achievements. Little attention is paid to such information operations and approaches to their detection. The paper deals with the detection of such information effects using Exploratory data analysis, fractal and wavelet analysis, as well as factor structure analysis using neural networks for being defensive, understanding of methods and techniques used to attack in Informational Space is necessary.
Human Face (Sketch/Photo) Age Group Estimation and Classification Using Perfect Face Ratios and Levenshtein Distance

The main objective of this paper is to identify the age group of the human being based on their face images by using a geometric feature and Levenshtein distance.This paper presents a novel method for human face age group estimation and classification.It is inspired in our model which was pre-trained on face sketch gender classification and recognition task.Toward this end, we generate some referential faces suitable for each age group decades based on perfect face ratios and four classical averages.sixteen features will be extract from the input face image based on perfect face ratio rules.The detection stage passes by Viola and Jones algorithm.The classification task is evaluated through calculate of the Levenshtein distance between the input face image request and the referential faces.An experimental evaluation demonstrates the satisfactory performance of our approach on FG-NET database with 80.00 % for training, 20.00 % for the testing and divided by age groups decades.Also, the CUHK Face Sketch dataset (CUFS) is used for testing.The proposed algorithm will be a competitor of the proposed relative the stat of the art approaches.The estimate rate reaches more than 79.90 % for some age groups decade.
The Application of Cooperative Learning Type of STAD in Mastery of Vocabulary to Making of Simple English Sentences in Elementry Student Grade 5 SDN 9 Kesiman

This study aims to find out: (1) Students' vocabulary mastery in making simple English sentences before applying STAD type cooperative learning methods; 2) Students 'vocabulary mastery in making simple English sentences after applying STAD type cooperative learning methods, (3) Effectiveness of applying STAD type cooperative learning models on increasing students' English vocabulary mastery in making simple sentences. This is a type of experimental research with qualitative and quantitative approaches. In this study using one group pretest and posttest research. The subjects of this study were 30 students in grade 5 SDN 9 Kesiman while the object was the mastery of students' vocabulary in making simple sentences. Data were collected through observation, questionnaires, and written tests. Qualitative and quantitative methods are applied in analyzing data. The results showed that: (1) There were 10 students whose 37.5% of the subjects were in the standard completeness score> 60. Meanwhile, the remaining 20 students namely 62.5% had not yet reached the standard completeness score. The average student score is 50.5 and it is quite low. Errors found in answering objective questions and making simple sentences lie in sentence structure, subject-verb relations, word choices, spelling, and use of punctuation. This error is categorized as a lack of student mastery of English vocabulary so that when students are asked to make and translate simple sentences in English there are still many that are lacking; (2) STAD is applied in 2 test sessions. The number of students who achieved the standard completeness score increased to 27 students or 87.5% while only 3 students or 12.5% did not meet the standard. The average value of students reaching 77.8 is categorized as good. Based on the Wilcoxon test output the significance value is 0.00 because the value is below 0.05 which is the significance value rate of the Wilcoxon test so it can be concluded that the cooperative learning type of STAD can significantly affect student learning outcomes. (3) The effectiveness of applying STAD type cooperative learning methods to increase students' vocabulary mastery in constructing simple sentences are: (1) an encouraging classroom atmosphere; (2) non-boring learning methods; (3) effective, relaxed and focused learning process; (4) Can motivate each other with a group of friends to learn English vocabulary together; and (5) Making students independent and responsible
The level of personal development of students of a pedagogical university as a degree professional self-determination

The article describes the results of monitoring the level of personal development of students of the South Ural State Humanitarian Pedagogical University.The analysis of signs of personality development is presented and the content of signs of personal development of future teachers is disclosed.The authors believe that the personal development of students of a pedagogical university is associated with their professional self-determination and, therefore, with the motivation of working in the acquired specialty.
Image Denoising Using Sparsifying Transform Learning and Weighted Singular Values Minimization

In image denoising (IDN) processing, the low-rank property is usually considered as an important image prior. As a convex relaxation approximation of low rank, nuclear norm-based algorithms and their variants have attracted a significant attention. These algorithms can be collectively called image domain-based methods whose common drawback is the requirement of great number of iterations for some acceptable solution. Meanwhile, the sparsity of images in a certain transform domain has also been exploited in image denoising problems. Sparsity transform learning algorithms can achieve extremely fast computations as well as desirable performance. By taking both advantages of image domain and transform domain in a general framework, we propose a sparsifying transform learning and weighted singular values minimization method (STLWSM) for IDN problems. The proposed method can make full use of the preponderance of both domains. For solving the nonconvex cost function, we also present an efficient alternative solution for acceleration. Experimental results show that the proposed STLWSM achieves improvement both visually and quantitatively with a large margin over state-of-the-art approaches based on an alternatively single domain. It also needs much less iteration than all the image domain algorithms.
"MY BUNCEE" : A WEB-BASED PRESENTATION TOOL TO IMPROVE ET-12 STUDENTSâ€™ MOTIVATION,ENGAGEMENT, AND ACHIEVEMENT

The Comet Series of textbooks for the Intermediate levels of LB LIAâ€™s English for Teens Program is prepared to suit the needs of students between thirteen and fifteen years of age. Despite this psychological breakthrough stage, students of ET-12 encountered some problems in understanding the value of the task to them, especially when they did the presentation task. It was found that they were less motivated and engaged to do it, and it influenced their achievement. In line with the principles behind the course , motivation and confidence, fun but more serious and insightful tasks are definitely things that the students need in order that the objectives of the teaching and learning are successfully achieved. To address the issues, Buncee application,Â a web-based presentation tool,was used to improve these studentsâ€™ motivation and engagement. Â How â€œBunceeâ€ helpedthe students to achieve the goal was Â conducted in eight meetings. The process was recorded using observation, journal, and questionaires and the data was analyzed by using SPSS.Â The results showed that the Buncee was as an effective tool to improve studentsâ€™ motivation and engagement. Gen Z is accustomed to personalize everything by choosing what they want (and just as important, what the donâ€™t want). These attitudes will inevitably influence education. Therefore,teachers need to adapt their pedagogical approaches.Keywords: Buncee, Motivation, Engagement, Achievement
Smart Voice Controlled Wheel Chair for Covid19 Patients

This paper presents a new way of helping the mobility of the Covid 19 patients with the aid of tech.We have developed a wheelchair which can be operated in manifold ways without the need for human force.This paper describes the way we achieved to implement voice control, button control, and gesture control and even mind control (in future iteration).This paper also describes the safety measures we implemented to ensure safe .safetyand well-being of the individual by implementing obstruction 6detection, live streaming and emergency messaging system.This paper also describes our goal of being able to offer our tech to the most people possible and thus our aim of keeping the cost of production low and making an affordable product for the masses.
Studio Quiz Used as a Test to Comprehend Listening Skill: Perception of English Education Study Program Student of Tanjungpura University

This article is excerpted from research entitled Comprehending Listening Skill through Quiz. The quiz was administered to students of the English Education Study Program as a semester final test of Listening for Academic Purposes subject. The method of research is quantitative and intended to find out whether or not literature, sport, history, and general knowledge on the quiz was a matter for students to comprehend. The quiz administered to test the students was taken from &lt;a href="http://www.bbclearningenglish.com"&gt;&lt;em&gt;www.bbclearningenglish.com&lt;/em&gt;&lt;/a&gt;. The primary data of the research was collected by surveying, and the secondary data was the result of the semester's final test. The survey was implemented by distributing a questionnaire to 43 student respondents attending the test. The technique of data analysis is descriptive. The research found that literature, sport, history, and general knowledge on the quiz were matters to students to comprehend. The matters were varied in accordance with skills characteristics such as the spelling of vocabulary, and the writing of phrase, sentence, and number.
Correlation Analysis on the Courses of Civil Engineering Based on Association Rules Mining

The talent training program is the overall design and planning of higher professional education, and has a decisive role in ensuring the quality of talent training.The training objectives, graduation requirements, curriculum system, syllabus and evaluation system contained in the talent training program have a strict logical relationship.The curriculum setting and course structure are the key points for the implementation of the talent training program.Professional education courses in Civil Engineering include mathematics curriculum group, mechanics curriculum group and design curriculum group.In this paper, seven representative courses in the three curriculum groups are selected.The final academic records of 249 students in three grades are used as research objects.By using the association rule mining algorithm -Apriori, this paper discusses the implementation process of data mining technology and clarifies the degree of relationship among the courses.The analysis results can provide important references for the curriculum system setting and structure adjustment, targeting the key and difficult curriculum, teaching reform and academic learning monitoring and forecasting.
Prediksi Masa Studi Mahasiswa Menggunakan Metode Topsis Pada Program Studi Ilmu Komputer Universitas Nusa Cendana

Graduation rates are considered as one of the parameters of the effectiveness of educational institutions. The period of student studies is an important issue that needs to be handled wisely by the Undana Computer Science department. Because graduation rates on time and not on time will affect the accreditation of majors, so we need a solution to be able to improve the problem of graduation on time. The solution that can help supervise and pay attention to active students in the 5th semester in order to graduate on time is to use a Decision Support System. Decision Support System can help predict the period of study of students with the TOPSIS method. The criteria used are Gender, Number of SKS that have been taken, Semester GPA, Cumulative Achievement Index and subsequent SKS Load. Sensitivity testing is done by adding a weight value of 0.5 and 1 to each criterion to get the results of criteria that are sensitive to changes in weights namely the GPA criterion of 3.92% change and subsequent SKS Load criteria of 3.92% change. The results of testing the sensitivity of criteria weights have an average percentage change in yield of 0.78%.
Face Recognition System using Color based Texture Pattern

Face recognition is a technique used for video surveillance, crime prevention, person verification, etc.It is usually used by security systems in metropolitan life.Researches on face recognition, as a part of facial image processing are increasing recently.This system uses face as the biometric information of the humans which can be applied easily instead of other biometrics like fingerprint, iris, signature etc., since any other type of biometrics are not much reliable for non-cooperative people.This paper proposes a face recognition system using chromatic-texture feature.The Three Chromatic Texture Pattern (TCTP) used in this work can able to get the texture and color information of the image.The performance analysis of this work gives better results when compared with the previous works.
Algebraic immunity of vectorial boolean functions and boolean groebner bases

The basic concepts and results related to the Boolean Groebner bases and their application for computing the algebraic immunity of vectorial Boolean functions are considered. This parameter plays an important role for the security evaluation of block ciphers against algebraic attacks. Unlike the available works, the description is carried out at the elementary level using terms of Boolean functions theory. In addition, obtained proofs are shorter than the previous ones. This allows us to achieve significant progress in building the fundamentals of the theory (for the Boolean case) using only elementary methods.The paper can be useful for students and postgraduate students studying cryptology. It may also save time for professionals who want to get familiar with the mathematical techniques used in algebraic attacks on block ciphers.
Literacy Leadership Camp (Leadership Stimulus Program for Teachers and Educators in Early Childhood Education)

The soul of leadership is essential, therefore, everyone has to own it.In the context of early childhood education, leadership must be owned by teachers as well as educators.Teachers' leadership is an idea of 21st century education, hence, the teacher's leadership in the process of education should be given a stimulus.Therefore, authors offer innovation based on the results of literary studies related to the stimulus efforts in order to enhance teachers' leadership in educating through the "Literacy Leadership Camp" program.The program brings a concept of pleasant literacy, love of the work environment and evoking teachers' pride in increasing leadership quality in the early childhood education work environment.If teachers are happy, their performance and leadership will increase as well, so as their functions as teachers will be optimal for the students and the work environment.
Hearing loss classification via stationary wavelet entropy and Biogeography-based optimization

Introduction:Sensorineural hearing loss is associated with many complications and needs timely detection and diagnosis.Objectives: Optimize the sensorineural hearing loss detection system to improve the accuracies of image detection. Method:The stationary wavelet entropy was used to extract the features of NMR images, the single hidden layer neural network was used for classification, and the BBO algorithm was used for optimization to avoid the dilemma of local optimum.We used two-level SWE as input to the classifier to enhance the identify and classify ability of hearing loss. Results:The results of 10-fold cross validation show that the accuracies of HC, LHL and RHL are 91.83±3.09%, 92.67±2.38%and 91.17±2.61%,respectively.The overall accuracy is 91.89±0.70%. Conclusion:This model has good performance in detecting hearing loss.
Perancangan Aplikasi Pemesanan Travel Antar Kota Di Sumatera Barat Berbasis Android

The development in the field of technology is currently growing rapidly, one of the technological developments at this time is the internet. Then what is obtained by using the internet can also be utilized in the field of transportation, namely by making an Android mobile-based travel ticket booking information system using a smartphone. Travel is a type of transportation service that serves passengers with a door to door or pickup system at the booking address, then delivered to the destination address. However, the process of booking travel tickets today is still done traditionally by coming to the counter or branch office of travel so it takes a lot of time and is inefficient, and there are also several other ways to call a travel agent, sometimes such methods are not effective because of the occurrence of a pile of tickets without accurate data. Therefore this study aims to facilitate travel passengers in searching or booking Travel tickets in the West Sumatra Region by designing an Android mobile application. Apart from that in providing location information to the drivers of the traveling fleet to pick up passengers at certain locations by using Google Maps, and application features such as travel schedules, ticket checks, ticket reservations, and account registration.
Friendly Approach on Business Intelligence Using Web Data Mining

Data warehouse is a place where we store data which is collected from different sources like supermarket, hospital, airport, government office etc., This valuable information should be retrieved when necessary from the data tombs.Data mining (the advanced analysis step of the "Knowledge Discovery in Databases" process, or KDD), a field at the intersection of computer science and statistics, is the process that attempts to discover patterns in large data sets.It utilizes methods at the intersection of artificial intelligence, machine learning, statistics, and database systems.The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use.For retrieving data one should use data mining techniques.There are lots of mining techniques available globally.The algorithms used here are used to display accurate results.This paper deals with business.Where business contains lot of data from years.Based on query requirement it should be mined and display accurate result.This paper deals with Query, Data mining, Database and algorithms for mining data.
ANALYSIS AND IMPLEMENTATION OF IMAGE ENHANCEMENT TECHNIQUES USING MATLAB

Digital Image Processing have a variety of diverse applications in the area of scientific, agriculture, medical, satellite, entertainment etc.The various steps of digital image processing are acquisition of image preprocessing, image enhancement, image restoration, image compression, image segmentation, object recognition.Image Enhancement used to enhance the images where the images are very dark, noisy or blurred.In this paper, we will analyze the various image enhancement techniques such as point processing, neighboring processing, histogram, filtering & edge sharpening.These various techniques are implemented in MATLAB and results are shown on various images.
EVALUATION OF THE PROFESSIONAL ACTIVITY OF THE SPECIALIST ON THE BASIS OF COMPETENCE APPROACH

The person's compliance with the qualification requirements and accumulated experience in the position determines the effectiveness of human activities in any field. At the stage of selection the suitability of a person for a certain type of professional activity is established, and in the process of formation and daily work it is confirmed or not. The state of the concept of competency approach widespread in the West and spread in the post-Soviet space is analyzed. The analysis showed the absence of agreement in the interpretation of the essence of the competency approach, which causes a difference in the applied assessment methods and their results. The key definitions for the competence approach are proposed: competence - competency - qualification, which meet the special requirements for scientific terms. The practical application of these terms allows us to offer information technology to support decision-making on the results of professional activities of a specialist on the example of a specialist in law enforcement agencies. The proposed information technology includes: formulation of clear criteria for establishing the conformity of the object of comparison to a certain model of the specialist - professiogram (the list of features of competences and competencies) by the method of assigning points; processing of personograms of each of the objects of comparison (averaging by experts, calculation of the generalized characteristic); compiling a ranked list; submission of a ranked list to the person making a decision on determining the qualification level of the object of comparison and its compliance with the position. The obtained results can be used in the process of further research aimed at creating a software product and implementing a competency-based approach to the practice of professional evaluation, in order to increase the effectiveness of specialists training for the National Guard of Ukraine.