Reviewerly/exHarmony huggingface dataset:
Shuffled teaching learning-based algorithm for solving robot path planning problem

To evade the big and destructive obstacles in the real world scenario, such as bomb blast, nuclear activities, and fire breakdowns, robots are necessary. Robot path planning (RPP) problem is one of the interesting NP-hard problems in the world of robotics. The RPP problem can be dealt with, using swarm intelligence (SI) based optimisation algorithms. Teaching learning based optimisation (TLBO) algorithm is a very efficient and reliable swarm intelligence based algorithm in the history of optimisation. This paper proposed a hybridised version of TLBO with shuffled frog leaping algorithm (SFLA) to improve the efficiency in terms of exploitation and to overcome the slow convergence rate. The proposed variant is named as shuffled teaching learning-based optimisation (STLBO) algorithm. For checking the efficiency and accuracy of the proposed STLBO, it is applied to 12 continuous benchmark functions and compared with different nature inspired algorithms (NIA). To check the robustness of the propounded STLBO, it is implemented to solve the problem of RPP. Through simulation results and statistical analyses, the effectiveness of the proposed STLBO is proved.
Single Target Tracking Using Reliability Evaluation and Feature Selection

This paper proposes a visual tracking algorithm using reliability evaluation and feature selection mechanism in the framework of Correlation Filter (CF). Three additional modules are used to improve the current CF-based tracker. Firstly, a module of reliability evaluation is used to determine whether the current tracking result is reliable. Secondly, an updating module is used to determine whether to update the target model by comparing the reliability of current tracking result with historical average. Thirdly, a feature selection module is presented to select hand-crafted feature or deep convolutional feature according to the current tracking state. Experimental results on a benchmark dataset of fifty challenging test sequences show that the proposed method can reduce the interference of complex factors effectively.
QoE Control for Dynamic Adaptive Video Streaming Over HTTP at Access Point

Recent research shows that when multiple dynamic adaptive streaming over HTTP (DASH) clients stream Internet videos simultaneously via a wireless access point (AP), they may experience poor quality of experience (QoE). This is because DASH clients in a wireless local area network (WLAN) independently estimate current available bandwidth and make bitrate selections. Lacking coordination in the WLAN causes competition for downlink bandwidth, introducing unnecessary bandwidth fluctuations especially when some clients start streaming. Such bandwidth fluctuations lead to cascading video bitrate changes on each stream, resulting in dramatic video quality variations, in the worst case, for example, video stalls. To address this problem, it is essential to mitigate the bandwidth competition by coordinating DASH clients in the WLAN. In this paper, we propose a QoE control framework at the AP to dynamically allocate bandwidth for each DASH client based on their real-time streaming performance feedback. To deal with uncertainty in Internet traffic besides streaming traffic, we design robust control algorithms to minimize stalls while balancing bandwidth sharing among clients. We implement and evaluate our solution with real systems under various settings. Extensive evaluation results show that our design significantly reduces average video stalling duration by 57.1% and improves the average video bitrate by 42.0% for all clients when compared to state-of-the-art solutions.
Control of asynchronous sequential machine with adversarial input based on the semi-tensor product of matrices

In this study, we investigate the control problem of asynchronous sequential machine with adversarial input by using the semi-tensor product (STP) of matrices.First, by applying the STP of matrices, a new algebraic expression of asynchronous sequential machines with an adversarial input is deduced.Next, by investigating the control process, the controller with the minimal state set is designed, and two algorithms for assigning the values to the state transition structure matrix and the output structure matrix of the controller are proposed.Then, in the framework of the algebraic expression of the asynchronous sequential machines with adversarial input and two proposed algorithms, an algebra expression of the closed-loop system dynamic is established; the theoretical results are verified by using this algebra expression.Finally, an example is presented to illustrate the validity and application of the proposed approach.
Internet Abuse: A Newer form of Sexual Harassment

Face to face sexual harassment is a well-known, commonly occurring, extensively investigated, and treated to some extent social problem.Sexual harassment behaviours are classified into the categories of gender harassment, unwanted sexual attention, and sexual coercion.Evidences show that sexual harassment behaviour occurs as a product of person and situation characteristics and has substantial personal and organizational costs.This article reviews the available information on sexual harassment in cyberspace, equates this phenomenon with what has been learned about sexual harassment offline, describes specific characteristics of online culture and technology that reinforce the behaviour, and proposes ways of promoting prevention.
الفروق بین الجنسین على أبعاد العبء المعرفى لدى طلاب الدراسات العلیا the differences between Gender on the cognitive load dimensions of graduate studies

استهدف هذا البحث الکشف عن الفروق بين الجنسين على أبعاد العبء المعرفى لدى طلبة الدراسات العليا, وطبقت الباحثة مقياس العبء المعرفى لحلمى الفيل(2015) على عينة قوامها(66) طالب, وطالبة من طلاب الدراسات العليا کلية التربية- جامعة حلوان, وقد کشفت  نتائج هذا البحث عن  عدم وجود فروق دالة احصائيا بين متوسطات درجات مجموعتى الدراسة (ذکور/اناث) فى مقياس العبء المعرفى, وأبعاده.           This research aimed to detect the differences between the Gender on the dimensions of the cognitive load of graduate students. The researcher applied the cognitive load  of Helmy el-fiel (2015) on a  sample of (66) student from students graduate studies from the Faculty of Education - Helwan University,the sample was divide into (22)males and (44) females , the results of this research showed ; there are not  statistically significant differences between the mean scores of the two study groups (males / females) in Cognitive load scale, and its dimensions.
Reporting Information as a Form of Communication of Business Entities

The increasing trend in the role of the Internet indicates that it is virtual space that provides most of the information flows required in the process of institutional unit interaction.The subject of the study is the reporting information of economic entities as a form of communication, including through information and communication technologies.The purpose of the article is to analyze the impact of changes in the economy and society, under the influence of both foreign economic trends and internal transformations, on the content of the information source and presentation format.The study is based on the principles of a systematic approach using methods of a popular scientific and, private scientific nature, comparative analysis and methods of logic.The article considers the prerequisites for the formation of new requirements to the content of the information field, ensuring the receipt by economic entities of the data of interest on counterparties and business partners; The impact of modern changes in the organization of information exchange of institutional units is identified as a stage of evolutionary views on the possibilities of transmitting information in matters of theory and improving the technical base of the information process.It is argued to change the content of reporting information in the era of the "economy of trust" and to prepare personalized reporting as a result of evolutionary transformations of the basic source, improvement of technical conditions, ensuring a certain equalization of opportunities of communication participants and formation of social capital of the company.The results of the study concluded that the capabilities of artificial intelligence should be used in the collection and processing of information, and the preparation of accounts for accounting, financial, corporate, integrated and personalized, much less the interpretation of its content, remains the responsibility of a specialist in this field of knowledge.
PENGEMBANGAN SISTEM OJRS+ (ONLINE JADWAL RENCANA STUDI PLUS) SEBAGAI MEDIA PERENCANAAN JADWAL KULIAH

OJRS at the College of Raharja is an information system that is in the component of the SIS (Student Information System). OJRS present to facilitate students in performing void add class schedules and print the form - the form that is in the menu OJRS. OJRS main function is to facilitate the process of void-added service class schedule resulting in fast and accurate data. Starting from the view class schedules, add and cancel courses, pick up class schedules to generate report output in the form of KSTF (Final Fixed Study Card) for students. This research is a quantitative research design using survey research using questionnaires processing techniques are processed based on validity and reliability test using SPSS software. With research results OJRS system is running is still relatively less than the maximum, and still there are 5 (five) deficiencies or weaknesses in the system. Therefore, in this study will be explained about the system OJRS ongoing at this time to describe the analysis of the system using UML (Unified Modeling Language) diagrams and try to provide input in the form of system design to support and contribute to the development of systems OJRS + that are in SIS + (Student iLearning Services) which can be accessed online outside the campus environment easily and quickly just by using the Internet connection
Indiscipline and its factors in learning teaching

espanolEl presente articulo tuvo como proposito determinar los factores que inducen a la indisciplina y que esto repercute para que no se logre una buena ensenanza-aprendizaje dentro del aula de clases, se asume que los estudiantes universitarios deberian estar motivados por las carreras que ellos mismos han elegido y estan en condiciones de asumir las responsabilidades que esto implica; pero esto no se cumple y se presentan problemas de indisciplina, debido a la inmadurez que aun poseen los jovenes estan cada vez mas distraidos con los telefonos celulares, quieren salir del salon de clases con frecuencia y tienen dificultades para mantener la atencion y no hablar. Las interrupciones en el aula interfieren con el logro del aprendizaje, los docentes y directivos deben mantener la disciplina y de ser el caso aplicar las sanciones pertinentes, puesto que las normas de convivencia y de respeto son esenciales para lograr la ensenanza-aprendizaje con exito. Para la realizacion de este trabajo se realizo una encuesta, a 185 estudiantes y 20 docentes de la facultad de la Pedagogia, de la universidad Tecnica “Luis Vargas Torres” de Esmeraldas, con el fin de tener un criterio mas certero de cuales son los factores que inducen a la indisciplina en el aula de clases. Se concluye que los estudiantes han adquirido habitos no adecuados, poca practica de valores, uso de tecnologia en actividades no academicas, un porcentaje de docentes aun no hacen uso de la tecnologia en la ensenanza aprendizaje. EnglishThe purpose of this article was to determine the factors that induce indiscipline and that this has an impact so that good teaching-learning is not achieved within the classroom, it is assumed that university students should be motivated by the careers that they themselves have elected and are in a position to assume the responsibilities that this implies; But this is not fulfilled and there are problems of indiscipline, due to the immaturity that young people still have, they are increasingly distracted by cell phones, they want to leave the classroom frequently and have difficulty maintaining attention and not talking. Disruptions in the classroom interfere with the achievement of learning, teachers and managers must maintain discipline and, if applicable, apply the appropriate sanctions, since the rules of coexistence and respect are essential to achieve successful teaching-learning. To carry out this work, a survey was carried out on 185 students and 20 teachers of the Faculty of Pedagogy, of the Technical University Luis Vargas Torres of Esmeraldas, in order to have a more accurate criterion of what the factors are that induce indiscipline in the classroom. It is concluded that students have acquired inappropriate habits, little practice of values, use of technology in non-academic activities, a percentage of teachers still do not use technology in teaching-learning.
Penerapan Tri-N Pada Buku Siswa Bahasa Indonesia VIII Dalam Upaya Meningkatkan Keterampilan Berbahasa

This study aims to describe the application of Tri-N in Indonesian Literature textbooks for SMP VII Class Curriculum 2013 in an effort to improve writing and speaking skills. This research is a descriptive qualitative research with a scientific approach. The results of class VIII research show that the application of the niteni, nirokke, and add processes to each process in literary texts as an effort to improve students' writing and speaking skills so as to improve more creative and productive cognition. The application of niteni in an effort to improve writing skills is found in words or clauses, such as note down the rules, while speaking skills, such as present and explain. The application of nirokke in writing skills, such as note-taking and serving, while speaking skills, such as staging and reciting. The application of increment in writing skills, such as making sentences and making reports, while speaking skills, such as speaking and reporting.
ENHANCHING THE SECONDARY STUDENTS’ WRITING SKILLS THROUGH PROJECT BASED LEARNING

This study was aimed at identifying the role of Project Based Learning implementation that were there any significant or no toward the secondary students’ writing skills at tenth grade of SMA Negeri 21 Batam. The design of this research was running by experimental research which consist of control class and experiment class. To meet the purposes of the research, 50 students from Tenth Grade of first Science class and second Science class were selected to be the participants of this research. Both of the classes first science class and second science class were given different treatment. The first science class was taught by Project Based Learning and the second science class was taught by conventional method. The data were collected through running written test which consist of pre-test and post-test (in which the participants wrote the simple descriptive text). The analysis of the data obtained from the scoring of students’ written test. The data analysis indicated that the Project Based Learning was given significant effect on enhancing the students’ writing skills. It was also found that students’ score in experimental class achieved affected result with the highest score was 92, meanwhile the lowest score was 67. The t-count was higher than t-table (Sig). (4.188 ˃ 2.011). Therefore H0 is rejected and Ha is accepted, there was significance effect of Project Based Learning toward the secondary students’ writing skill. As the implications of the study, it seems that Project Based Learning can bring helpful insight for both of secondary students and teachers on enhancing the writing skills.
Improving Image Inpainting based on Structure and Texture Information Using Quadtree

In this paper, we present a novel and efficient algorithm for image inpainting based on the structure and texture components. In our method, after decomposing the image into its texture and structure components using PCA (Principal Component Analysis), these components are inpainted separately using the proposed algorithm. Finally, the inpainted image is simply acquired by adding the two inpainted images. For structure inpainting we used quadtree concept to identify the importance of each pixel located on the boundary of the target region. Subsequently, we detect the correct path for filling so that this path demonstrates an orientation for the better structure inpainting. It is noteworthy that structure inpainting is more important because human vision is sensitive to the coherence of structure. For texture inpainting, we use Euclidean distance in the texture component for patch selection. Also, the geometric feature is considered by LSK (Local Steering Kernel) in the original image to assist chooing a better patch candidate. The experimental results of our algorithm demonstrate the effectiveness of the proposed method.
Enhancement of Image Quality by Noise Reduction using Modified Clustering Algorithm

Nowadays, noise reduction in image processing is a major research to enhance image quality. Clustering algorithm is widely used for segmenting the image in image processing. The goal of clustering algorithm is used to make the intrinsic group in a set of unlabeled data. Image acquisition is the first step in image processing. The occurrence of noise during image acquisition can affect the image acquiring result. De-noise based clustering algorithm is classified as de-noise based K-means, Fuzzy C-means and Moving K-means. To improve the image quality, salt and pepper noise is reduced by de-noise based clustering algorithm. During the segmentation process, the effect of salt and pepper noise can be minimized for reducing loss in the images. The experimental result analyses the mean square error and peak signal to noise ratio which gives less mean square error and high peak signal to noise ratio. It shows the image quality without degrading the image quality at the same time unique performance of noise reduction.
Simultaneous identification of the all parameters for the Lorenz chaotic system

Drawbacks of the adaptive-searching methods, related with the problem of multi-parameter dynamic system identification are explored and highlighted. New approach, based on “moving regression” method is proposed. New approach is a hybrid method; it combines features of the “moving average” method, linear regression method and differential system representation. This combination allows to simultaneously determining complex dynamic system parameters, in spite of its chaotic behavior and measurement errors. New method possibilities are explored via identification process numerical simulation for the Lorenz chaotic system.
Personalized Trajectory Privacy-preserving Scheme for Mobile Social Networks

Mobile social networks are growing rapidly with the development of mobile terminals and wireless networks. However, the risk of leakage of trajectory privacy is increasing day by day. This paper proposed a personalized trajectory privacy preserving algorithm on mobile social networks. The algorithm solves the problem of over-protection under the traditional privacy protection according to the difference of privacy preserving requirements of mobile users. At the same time, the user forms an equivalence class by selecting a certain number of surrounding user partners to solve the privacy leakage problem caused by the excessive difference between the randomly generated false trajectory and the real trajectory. Finally, the experimental results show that the proposed scheme can generate trajectories similar to users, and the user's position and trajectory privacy average level exceeded 0.5, which proves the effectiveness of the algorithm.
The Digitalization in Evaluation of Scientific Efficiency: Bibliometric Analysis of the Publication Activities and Citation of the Teachers and Psychologists

In the last decades, the digitalization more and more actively penetrates into the sphere of scientometrics.The problem of objective evaluation of the results of scientific activities, including the issue on the possibility of using bibliometric (statistical, mathematical) evaluation of the publication activities, citation, and, at the last, of the scientists' authority, is in the center of discussions in the last decades.This article provides the materials of bibliometric analysis of the publication activities and citation of the widely known contemporary teachers and psychologists, based on the data of the Russian Science Citation Index (RSCI).The data on ranking scientists by the number of publications, by the number of citations and by Hirsh-index (h-index) have been compared.The factors, favouring active citation and, simultaneously, high h-index have been distinguished: relevant authority of the correspondent magazines and publishers, belonging to the actively developing scientific directions, work in the leading universities and academic scientific institutes.The provided materials not only reflect the scientific merits of the leading specialists, but also show methodological and paradigmal tendencies of the Russian science development in whole.In particular, it has been revealed, that the scientific ratings of the psychologists, as a rule, are higher, than the ratings of the pedagogics specialists.It is also demonstrative, that the increased publication activity and citation are characteristic for the scientists, who work in the sphere of special psychology and pedagogics.The scientometric ratings may be intended not only for precise scientists, but also for the scientific collectives or scientific organizations.In particular, the examined materials show, that the absolute majority of the specialists with high h-index work at the academic institutes and leading metropolitan universities.The article materials may be used at discussion of the scientists' activity efficiency criteria.
The Nearest Route Search for A Shoe Retail Shop Using Android-Based Dijkstra Method

&#x0D; Shoe retail store is a company engaged in the sale of shoes that are developing. Until now, shoe retail stores still rely on physical stores in their business. Because it is engaged in sales, the shoe retail store requires an information system for finding a route to the store that can facilitate prospective buyers to find the location of the shoe retail store. With the shop route search information system, it can facilitate prospective buyers who do not yet know the location of the shoe retail store to find where the store is located. From the writer's observation, there are several shoe retail shops that are not indexed on Google Maps. Therefore, the author raises the title of the final project entitled "Information System for Route Search Towing the Nearest Shoe Retail Shop Using the Android-Based Dijkstra Method", to facilitate prospective buyers in the PT Stars International shoe store in finding the location of the shoe retail store. has been made, this application can run on smart phones running Android with versions starting from version 4.0.3. and the functions of this application can also run well. for the difference in distance calculation by the system using the dijkstra calculation and google maps distance calculation, a difference of 9,196% is obtained from an average of 25 random sample calculations.&#x0D;
Motives and Forms of Secondary Employment in the Field of Higher Professional Education of the District Murom

The article describes the basic motifs of secondary employment, its relationship with the main profession, some features of secondary employment in the field of higher professional education the Vladimir region.An analysis of the content has been shown, as well as the specific of operation on secondary employment of education workers in small provincial towns.The relevance of the topic is related to a change in the lives of people in small towns, the changes in connection with the employment of their residents, so that the foreground are increasingly in precisely the socio-economic problems.The article has been ambiguous role of secondary employment in modern economic relations.