Reviewerly/exHarmony huggingface dataset:
An Improved Image Registration Method for Infrared and Visible Images

Aiming at solve the problem that it is difficult to match the infrared and visible image of aircraft surface in the same scene, an improved registration algorithm is proposed. It is aiming to obtain more complementary information of residual ice. Firstly, the infrared image enhanced by the image enhancement algorithm based on fuzzy logic, so that the details and the contour become more clear. It also effectively reduces the number of feature points to be extracted. Secondly, in order to solve the problem of high mismatch rate of speeded up robust features (SURF) algorithm, the constraint condition of slope consistency has been used to eliminate the number of mismatch points. Finally, the RANSAC algorithm is used to further improve the matching speed and accuracy. Experimental results show that the proposed method has better rapidity and accuracy.
Assessing Malaria using Neutral Zone Classifiers with Mixture Discriminant Analysis on 2D Images of Red Blood Cells

Background and Aim: We aim to build a classifier to distinguish between malaria-infected red blood cells (RBCs) and healthy cells using the two-dimensional (2D) microscopic images of RBCs. We demonstrate the process of cell segmentation and feature extraction from the 2D images. Methods and Materials: We describe an approach to address the problem using mixture discriminant analysis (MDA) on the 2D image profiles of the RBCs. The extracted features are used with Gaussian MDA to distinguish between healthy and malaria infected cells. We also use the neutral zone classifiers where ambiguous cases are identified separately by the classifier. Results: We compare the classification results from the regular classifiers such as linear discriminant analysis (LDA) or MDA and the methods where neutral zone classifiers are used. We see that including the neutral zone improves the classification results by controlling the false positive and false negatives. The number of misclassifications are seen to be lower than the case without neutral zone classifiers. Conclusion: This paper presents an alternative approach for classification by incorporating neutral zone classifier approach, where a prediction is not made for the ambiguous cases. From the data analysis we see that this approach based on neutral zone classifiers presents a useful alternative in classification problems for various applications.
Learning Cluster as a Modern Requirement for Optimizing Vocational Training of Future Specialist

Training of future specialist demands reorientation of the educational process towards modernrequirements of the industry, establishment of close partnership of educational institutions with industrialenterprises, and creation of clusters. The article considers features of the organization of an educationalcluster on the example of vocational training of future specialists in design as well as peculiarities ofpractical optimization of the educational process. Its application in the educational process makes it possibleto achieve joint studying of separate disciplines by students of different specialties, promotes students’interaction while working on term papers or individual practical, laboratory, scientific and methodologicalprojects, helps expand borders of the educational environment, and allows transition to a more professionallevel of training. The paper defines advantages of organizing an educational cluster and peculiarities of itsimplementation at the selected levels of optimization of the educational process, which are as follows: levelof an educational institution, level of a structural division, specialty level, level of a training program andlevel of an academic discipline. The concepts "educational cluster" and "educational cluster" aredifferentiated. Special attention is directed to the organization of the research educational clusters integratingnot only students of educational institutions, but also skilled workers of the industrial enterprises, researchersand practioners. Clusters play an important role in exchanging professional experience, implementing newapproaches, techniques and technologies of training, incorporating innovative methodological, technicalcomplexes and means as well as information and communication technology, presenting the outcomes ofpractical approbation of new training technologies by teachers. Theoretical consideration of the features ofthe organization of an educational cluster has led to a suggestion concerning its practical embodiment in theeducational process and further detailed research on the aspects of enhancing the quality of vocationaltraining and future specialists’ competitiveness in the modern labor market as well as improving teachers’pedagogical skills and qualifications.
Linear-Time Direct Data Assignment Algorithm for Passive Sensor Measurements

To solve the problem of passive sensor data association in multi-sensor multi-target tracking, a novel linear-time direct data assignment (DDA) algorithm is proposed in this paper. Different from existing methods which solve the data association problem in the measurement domain, the proposed algorithm solves the problem directly in the target state domain. The number and state of candidate targets are preset in the region of interest, which can avoid the problem of combinational explosion. The time complexity of the proposed algorithm is linear with the number of sensors and targets while that of the existing algorithms are exponential. Computer simulations show that the proposed algorithm can achieve almost the same association accuracy as the existing algorithms, but the time consumption can be significantly reduced.
Predictive Analytic Klasifikasi Penentuan Tarif Sewa Bus

Currently, the bus rental business has become the choice of consumers in traveling, because of the decision of flexibility and better availability. The government regulates that consumer and business owner agreements determine bus rental rates without routes. In this study intends to do clustering from the history of raw data that already exists before. Data is obtained from companies in the form of spreadsheet files originating from non-information systems. The raw data is combined and normalized, to eliminate the noise data and the data is not abnormal. The clustering results using the K-Means algorithm and Louvain clustering produce several tariff groups that can be used as a reference for determining fare. In this paper also concludes about unbalanced data, which can cause data clustering errors.
Modification of speed and current limiting performance of BLDC motor based on harmony search optimization method

The brushless DC (BLDC) motor is a multi-variable and non-linear system so that it's required more advanced explaining and controlling set. In this work, an algorithm is proposed based on the harmony search algorithm (HAS) method. HSA mimics music improvisation process to find the optimal solution. In BLDC motor, many constraints are required; speed performance and current limiting control are dominated. HAS is proposed to find the optimal PID parameters for the two speed and current-limiting controllers that are proposed in the drive. By Matlab/Simulink results, a good performance is shown compared with the classical method that absence current-limiting controller.
The impact of scientific and genre-based approach in english reading comprehension teaching

The purposes of this study are to determine the more effective approach between: (1) the scientific and conventional approaches, (2) the genre-based and conventional approaches, (3) the scientific and genre-based approaches, (4) the scientific, genre-based and conventional approaches in the teaching of reading comprehension of narrative texts. The research was quasi-experimental with randomized pretest-posttest control group design. The results of the study show that (1) the scientific approach is more effective than the conventional approach in the teaching of reading comprehension of narrative texts with sig (p) ≤ 0.05; (2)the genre-based approach is more effective than the conventional approach in the teaching of reading comprehension of narrative texts, with sig (p) ≤ 0.05; (3)the scientific approach is more effective than the genre-based approach in the teaching of reading comprehension of narrative texts, with sig (p) ≤ 0.05; and (4)the scientific approach is the most effective of the three approaches under study.
Penerapan metode nested query untuk menetukan siswa penerima bantuan PIP

Cijujung 04 State Elementary School is one of the basic educational institutions that is always developing with the number of students increasing from time to time. Cijujung 04 Public Elementary School is a state school, this school is located in the Cikupa-Nagrak village of Cijujung village, cibungbulang sub-district, Bogor Regency. Public elementary schools or other private elementary schools also have very important data. One of them is a master book. The student handbook is a data set of students studying at the school. Student Parent Book is one of the most important parts of the management of this institution. The notes in the master book must be complete. Includes, student biodata, student grades, and student achievement results from the first semester to graduate school. However, in its implementation so far it has been ineffective and inefficient because it is carried out manually, namely by writing data in a thick ledger or a master book. The teacher also had difficulty finding student data in the parent book and also sought students for prospective recipients of PIP assistance. A system is needed that can be used by teachers to find student data in the parent book and also look for students for potential recipients of PIP assistance. Nested queries or queries are queries that have other queries in them. By using the nested query method in the parent book system, the search process for prospective PIP recipient students can be searched as needed because in the parent book system has a student search feature based on the desired category. Based on the nested query method. From the results of the distribution of questionnaires to test the system distributed to informatics engineering system respondents obtained a percentage of system eligibility of 87% so that it can be categorized as very feasible, while the results of distributing questionnaires to user respondents obtained a percentage of system feasibility of 94.5% so that it can be categorized as very feasible
Towards ‘Another of Me’: Random Para Tolol :v and The Language Games

When social media experiences an escalation in the number of users until today, now social media offers an alternative for the community in constructing more intimate social relations. This is likened to a new world that Tom Boelstorff has tried to discuss in Second Life. Absolutely, here, the identity will find its intersection: could it reproduce? In some cases, that question turns the answer: "yes". For example in a Facebook group called Random The Tolol: v (RPT: v). Not just building an image as a community that shares jokes as shown on its group’s timeline, there is a tendency to "become Spanish" when its members almost use Spanish phrases in each of their post captions frequently. What is interesting is that RPT: v is an Indonesian community. At the same time, to be honest, this language politics case also involved me who had long joined the RPT :v. Therefore, by using the method of digital ethnography research that has an autoetnographical character, I will try to explore more deeply what the meaning of language for members of RPT :v which simultaneously can (re)form their identity in the internet?
An Analysis of Classroom Activities Pursuant to Effective Techniques Teaching English in Integrated Vocational Schools

The objective of this research are to describe classroom activities pursuant to effective techniques teaching English in integrated vocational schools, and to investigate classroom activities pursuant to effective techniques teaching English in integrated vocational schools at Islamic integrated Rabbi Radhiyyahand vocational high school Islamic integrated KhoiruUmmah in CurupRejangLebong. The design of this research is descriptive qualitative. The subject of this research were two teachers who teach English in Islamic integrated vocational schools. In collecting the date, the researcher used the following techniques: checklist observation and interview. There are some instruments which the researcher used forcollecting the data, consist of: notes and interview guidance. The notes was used to find the techniques the teachers used, the classroom activities the teacher used, and identify the classroom activities that pursuant to techniques suit the elements of effective teaching, and the interview guidelines was used to find the technique the teachers used based on the theory of elements of effective teaching. In analyzing the data,the steps were data managing, description, and interpreting. Theresult from notes and interview showed that the techniques and classroom activities the teacher used and all techniques and classroom activities pursuant with element of effective teaching. The elements of effective teaching consisted of academic learning time, use of positive reinforcement, cues and feedback, cooperative learning activities, classroom atmosphere, high order questioning, direct instruction, and indirect teaching.
A Deep Learning Scheme for Extracting Pedestrian-Parcel Tuples from Videos

Pedestrian parcel inspection is a common security measure in some public places like railway entrances. Automatic identification of the affiliation between pedestrians and parcels is an important task in an intelligent security inspection system. However, it is very challenging due to the high pedestrian volume in these places. In this paper, we propose a deep learning scheme for extracting pedestrian-parcel tuples from camera videos, which includes three modules, i.e. detection, interaction and re-identification of pedestrians and parcels. We first detect pedestrians and parcels in each frame, and then discriminate the affiliation between pedestrians and parcels by interaction behavior analysis, finally discard the redundant affiliations by re-identification of pedestrians and parcels. In the interaction module, we propose a lightweight interaction model for discriminating the affiliation between pedestrians and parcels in a single RGB image. Experiments on a video data at a subway entrance validate the proposed approach.
PENGELOMPOKKAN PADA KENDARAAN BERMOTOR MENURUT KEGUNAANNYA MENGGUNAKAN METODE DATA MINING K-MEANS

This study aims to look for the grouping of data in motor vehicles according to their use. The types of motorized vehicles in this study are ranging from motorbikes, cars, public transportation, taxis, public transportation, buses, and pick ups. In this case we need a method that can classify vehicle data according to its use. This research was conducted in Pematangsiantar and used the K-Means Data Mining method. K-Means method tries to group existing data into several groups, where data in one group has the same characteristics with each other and has different characteristics from the data in other groups. The highest cluster with the number of motorized vehicle data according to its use is 7 vehicles, namely, 3 wheels, Taxi, public transportation, Bus (public transportation), Truck / Pick Up (public transportation), Car, Truck / Pick Up (private transportation).Keywords: Data Mining, K-Means Method, Grouping of Motorized Vehicles.
DEVELOPMENT OF THE STUDENTS’ PROFESSIONAL SPEAKING OF THE HIGHER TECHNICAL EDUCATIONAL INSTITUTION

Вісник Черкаського національного університету імені Богдана Хмельницького 189 nowadays.Therefore, the issue of implementation of the robotics into the learning process of higher education institutions as a mandatory component of the training of future teachers is to particular importance today.The first in Ukraine curriculums for training of the future computer science teachers in educational robotics were designed the National Pedagogical Dragomanov University (Kyiv, Ukraine) in 2018.These students will be able to teach computer science and educational robotics at schools after finishing their study at university.Conclusions.The conducted study confirms the hypothesis that there is currently a social demand in studying of educational robotics in Ukrainian schools and the training (retraining) of teachers who will teach of the educational robotics.Curriculums in the specialty 014.09 «Secondary education (Computer Science)» were developed at the Faculty of Informatics of the National Pedagogical Dragomanov University (Kyiv, Ukraine) for preparing of the future computer science teachers, who will teach of the educational robotics -future robotics teachers (BSc and MSc levels).In the prospect of our further research are to track of the trends in the robotics field to update the teaching content of the educational robotics in pedagogical university.
The Effectiveness of Cybersecurity Compliance in a Corporate Organization in Nigeria

The complexity and growth also create asymmetries between attackers and their targets, and incentives that drive underinvestment in cybersecurity The Digital technologies have transformed how people socialize, shop, interact with government and do business. The World Wide Web is of made amounts of information instantly available. The smartphones have put our fingertips everywhere we go it an improvement on effectiveness cybersecurity training for end users of systems and offers suggestions about and how topManagement leaders can improve on trainingto effectively combat cybersecurity threats at the organizations. Is imperative to achieve higher end-user cybersecurity compliance; practice is accepted, as a means to increase compliance behavior in any organization. The Training can influence compliance by one or more of three causal pathways: by increasing cybersecurity awareness, by increasing cybersecurity proficiency (i.e., improve cybersecurity skills) and by raising cybersecurity self-efficacy. This includes an extensive review of the cybersecurity policies and competencies that are the basis for training needs analysis, setting learning goals, and practical training. This paper discusses opportunities for human resource (HR) practitioners and industrial and organizational (I-O) psychologists, and informationtechnology (IT) specialists, and to integrate their skills and enhance the capabilities of organizations to counteract cybersecurity threats. AnyOrganizations cannot achieve their cybersecurity goalson workers alone, so all employees who use computer networks must be trained on the skill and policies related to cybersecurity.
General Trends In The Transformation Of The International Academic Community

The purpose of the paper is to resolve the trends in the transformation of the international academic society; to reveal how people identify themselves on the Internet; to find out whether culture we belong to influence our virtual identity and if people’s prejudices towards those of other cultures are relevant online. The paper discusses the Universities mission to teach young people around the world respect and international understanding. The opportunities offered by blended learning and the factors promoting sustainability within professional activity are emphasized. The evolution of blended programmes demands the new professionals to assess the effectiveness of online learning, which empowers them to take advantage of educational technology in their continued professional development. Online courses can solve many of the logistical problems, can help the trainees to focus on their individual needs, and provide individualized support. The development of digitalization should be enhanced by the management culture by investing in competence and support. The achievements in the educational innovation and the creation of the international academic community are discussed as the result of complex factors viewed in historical and sociological perspective. The paper emphasizes the necessity for individual human potential realization and discusses the content of the permeable structures that allow cross-disciplinary interaction. The effectiveness of critical thinking approach is acknowledged, the emotional side of learning is analyzed.
The Implementation Of Neighborhood Walk Strategy To Improve Students’ Writing Descriptive Text At Class V Of Sd Inpres Btn Ikip II, Rappocini Makassar.

The problem in this study is there are still many elementary students who have not been able to express ideas in writing.This study aims to describe the ability to write student descriptions through the Neighborhood Walk Strategy.Research data in the form of teacher teaching activities and student learning through observation format then the ability to writing descriptions through written tests.The implementation of the Neighborhood Walk strategy is carried out in two cycles, which consist of four stages, namely planning, implementing actions, observing, and reflecting.The results showed that the application of the Neighborhood Walk strategy to teacher teaching activities and student learning activities in Indonesian language learning after improvements occurred in each cycle were in good qualifications and the ability to write descriptions in the Good category.The conclusion of this research is that the application of the Neighborhood Walk Strategy can improve the ability to write description of students at Elementary School.
Research on 3D Space Target Following Method of Mobile Robot Based on Binocular Vision

In order to solve the problem of the target following in 3D (three-dimensional) space, the KCF and SGBM fusion algorithm is proposed. In this method, the position information of the target in the camera image is obtained by KCF algorithm, the depth information of the target is calculated by SGBM algorithm, and the three-dimensional coordinate of the target in camera coordinate system is determined. The binocular vision system is set on the mobile robot, and the mobile robot achieves target following through velocity information and angular velocity information. Experiments in different indoor environments show that the algorithm has low hardware requirements, good real-time performance, and high precision. It is suitable for target tracking by a robot in three-dimensional space.
Factor Variation on Job Satisfaction of Banking Employees: A Comparative Study on Public and Private Banks

In the competitive banking industry, the success of the organization totally depends on the workforce.The level of job satisfaction of the employee implies the image of the organization and it leads to the accomplishment of the goals of the organization and may vary with the banking sector; public versus private.The main purpose of this study is to compare the job satisfaction level of bankers and analyze significant influencing factors on job satisfaction in accordance with the sector.The data were collected through a questionnaire, from 150 employees in Badulla district, Sri Lanka.The chi-squared test and ordinal logistic regression model was used to identify the significant determinants.According to the regression analysis, there were positive significant effects from empowerment, job security, recognition and appreciation, relationship with the staff and work-life balance on public bank employee's job satisfaction.The most significant causative factor was the empowerment of employee and when there was an advance in empowerment; a person is 4.116 times more likely to be satisfied.However, in the private sector other than the work-life balance, all other significant causes were varied.The ability to utilize skills, the possibility of growth, salary, work-life balance and working environment were positively affected on job satisfaction.In the private sector, dominant significant impact factor was work-life balance and employee was 6.619 times more likely to be in satisfying level when there is an increase in the work-life balance.It implies that the impact factors on job satisfaction in the banking industry vary with the sector.