Reviewerly/exHarmony huggingface dataset:
The Applied Aproach Impact Information Security For Government and Company (A Review)

The Government and industry are currently using information and communication technology a lot. The Government and companies in Indonesia have regulations on operational standards and management procedures for information and communication systems security at Government regarding implementing information system security. Information security is essential because there are many threats to information security. Information security in this era of Information and Communication Technology (ICT) is fundamental. Information Exchange Environment (IEE) vulnerabilities have increased as threats become more widespread and complex; therefore, information security has become a fundamental problem for businesses, organizations, and governments. So, in this paper, we will explain the review of the impact of Information Security For Government and companies in terms of threats and types of information security. Some security system methods are analyzed, among others—application Security, cloud security, Cryptography, security infrastructure, Incident response, and vulnerability management. The results of this review analysis, it known threat has several solutions, each depending on the type of threat for both the Government and the Company. Furthermore, Information Security is considered very important, especially for data stored in Government and companies.
Scope of Research on Particle Swarm Optimization Based Data Clustering

Optimization is nothing but a mathematical technique which finds maxima or minima of any function of concern in some realistic region. Different optimization techniques are proposed which are competing for the best solution. Particle Swarm Optimization (PSO) is a new, advanced, and most powerful optimization methodology that performs empirically well on several optimization problems. It is the extensively used Swarm Intelligence (SI) inspired optimization algorithm used for finding the global optimal solution in a multifaceted search region. Data clustering is one of the challenging real world applications that invite the eminent research works in variety of fields. Applicability of different PSO variants to data clustering is studied in the literature, and the analyzed research work shows that, PSO variants give poor results for multidimensional data. This paper describes the different challenges associated with multidimensional data clustering and scope of research on optimizing the clustering problems using PSO. We also propose a strategy to use hybrid PSO variant for clustering multidimensional numerical, text and image data.
Network Interactive Application of High-Performance Computing Platform for Japanese Teaching

With the development of network technology, Japanese teaching is increasingly showing the characteristics of network, and information interaction is becoming more and more frequent. Interactive teaching is a new teaching mode under the network environment. However, traditional interactive teaching cannot meet the flexibility and dynamics of resource allocation in the network environment. In the daily Japanese teaching process, the contradiction between the students’ growing need for learning resources and the unbalanced and insufficient distribution of resources is becoming more and more acute. High-performance computing is a model of swarm computing, which can solve the contradiction between complex student needs and resource allocation. Based on this, this paper proposes a Japanese interactive teaching method based on a high-performance computing platform. Experiments show that the interactive Japanese teaching method based on HPC can effectively improve students’ Japanese performance. Among them, the scores of high-level students increased by 23.3%, and the proportion of middle-level students accounted for more than 70.9%.
Parameter Optimization and State Evaluation of Basketball Teaching Based on BPNN

BPNN is a multi-layer network with forward and backward error algorithms. It is currently the most widely used NN. Especially when it is applied to the basketball teaching scene, it can improve the research on the parameter optimization and state evaluation of the BP neural network in the teaching scene. This paper is mainly to study how to optimize the parameters of basketball teaching scene to improve the teaching effect and to evaluate the state. This paper improves the BPNN technology to study the basketball teaching scene and then proposes a genetic algorithm on the basis of the BPNN. It optimizes the parameters of basketball teaching scene through genetic algorithm and then analyzes the experimental data. The experimental results of this paper show that the BPNN is not as good as the BPNN based on the genetic algorithm in optimizing the parameters of the basketball teaching scene. The BPNN based on genetic algorithm has a successful recognition rate of more than 93% for basketball dribbling and shooting, which is 7-8% higher than that of the BPNN.
Research on Edge Detection Algorithm of Indoor Soft Decoration Pattern

Purpose of edge detection is to identify the points with obvious brightness change in digital image. The image edge detection effect under normal light is good, but the image display effect under dark vision is poor, and most of the edge information is lost. In order to quickly and accurately obtain the image edge part containing a large amount of feature information, many classical algorithms have appeared in the field of edge detection. This paper discusses the development of soft edge detection and intelligent edge detection technology for readers. Aiming at the image difference caused by proportion, rotation, and folding in the process of automatic recognition of indoor soft decoration patterns, this paper focuses on the collection of proportion, rotation, blur, and illumination of indoor soft decoration pattern images under five folding changes. The edge detection algorithm (EDA) is used to quickly and accurately obtain images containing a large amount of feature information at a low cost of edge parts, extract the local features of the pattern, calculate the feature matching with Euclidean distance, and eliminate the false matching with random sampling consistency algorithm. Finally, the experimental results show that EDA algorithm usually combines a variety of features to realize edge detection, and its output edge detection result is better than the traditional edge detection algorithm which only considers the gradient change. The algorithm has the highest accurate matching rate, and the average accurate matching rate is 87.10%; the robustness of this algorithm is better than other algorithms, and the speed is the fastest. Therefore, EDA algorithm has good applicability in indoor soft decoration pattern feature matching.
Analytical Model of Action Fusion in Sports Tennis Teaching by Convolutional Neural Networks

In order to improve the effectiveness of tennis teaching and enhance students’ understanding and mastery of tennis standard movements, based on the three-dimensional (3D) convolutional neural network architecture, the problem of action recognition is deeply studied. Firstly, through OpenPose, the recognition process of human poses in tennis sports videos is discussed. Athlete tracking algorithms are designed to target players. According to the target tracking data, combined with the movement characteristics of tennis, real-time semantic analysis is used to discriminate the movement types of human key point displacement in tennis. Secondly, through 2D pose estimation of tennis players, the analysis of tennis movement types is achieved. Finally, in the tennis player action recognition, a lightweight multiscale convolutional model is proposed for tennis player action recognition. Meanwhile, a key frame segment network (KFSN) for local information fusion based on keyframes is proposed. The network improves the efficiency of the whole action video learning. Through simulation experiments on the public dataset UCF101, the proposed 3DCNN-based KFSN achieves a recognition rate of 94.8%. The average time per iteration is only 1/3 of the C3D network, and the convergence speed of the model is significantly faster. The 3DCNN-based recognition method of information fusion action discussed can effectively improve the recognition effect of tennis actions and improve students’ learning and understanding of actions in the teaching process.
Analysis of Mobile Learning Model and Design of Mobile English Platform Based on Service-Oriented Architecture

On the basis of extensive reading of domestic and foreign literature and full investigation, this paper studies the theories related to mobile learning. Based on these theories, the resource service model of cloud education resources and the mode of mobile English learning are designed, which forms the problem of identification and confirmation with practitioners. Design models and solutions produce new theories of mobile learning. On the system architecture, the system is divided into four layers to improve the flexibility and scalability of system services. Considering the security of system services, a set of session caching system is designed and proposes a service interface encryption scheme based on Sessionid, Timestamp, and public Key. Finally, this paper realizes the mobile English client and background management platform. English mobile platform is used widely for teachers and students on campus, so the pressure-bearing capacity of the system service is tested and verified. The results show that the running stability of this system can reach about 96.03%. Its bearing capacity is strong, reaching the expected goal, which can provide some reference for related research.
I Will Make My Husband to Eat So Much! (Tcheonzamun 289th-304th)

French missionary Dallet (1874) wrote that Tcheonzamun (The thousand character essay) had been utilized as a textbook for children of the ancient Chinese people and those of the ancient Korean people. The book, Tcheonzamun, was used for instructing Chinese character. Park et al. (2021a) and Park et al. (2021b) translated several Tcheonzamun poems. The present researcher tried to translate those poems of Tcheonzamun through Korean pronunciation and through the meaning of Chinese character. For the present researcher, there are two methods for the translation of Tcheonzamun (The thousand character essay) poem. The first one is through Korean pronunciation of Chinese character, and the other is through the meaning of Chinese character. In addition to this, the present researcher tried the same or the similar part from the two Chinese characters on the same line. With remained parts, the poem was translated. And the poem selected was (Tcheonzamun 289th-304th). The title of this work is ‘I will make my husband to eat so much!’. The present researcher tried to translate this Thceonzamun (The thousand character essay) poem with two methods.
Saint Maria at Nazareth (Tcheonzamun 289th-304th)

: Dallet (1874) wrote in his book that Tcheonzamun (The thousand character essay) had been utilized as a textbook for children both by the ancient Chinese people and by the ancient Korean people. And he wrote that the book was for the instruction of Chinese characters. For the present researcher, there are two methods for Tcheonzamun (The thousand character essay) translation. One is through the meaning of Chinese character; the other is through Korean pronunciation of Chinese character. Here in this work, the method through the meaning of Chinese character was utilized. The poem of (Tcheonzamun 289th-304th) was selected and translated. The title of this work is ‘Saint Maria at Nazareth’ and the range of translation was Tcheonzamun (The thousand character essay). &lt;Number in Tcheonzamun Chinese characters (Pronunciation of Korean language in English alphabet)&gt; 289-292 篤(Dog) 初(Tcho) 誠(Seong) 美(Mi) My husband, do you want to continue to do (篤) the favor (初) for me your wife? It was our love when we started to see each other. My husband, please do your best (誠) in order without stop to keep the affection (美) for me!
Meningkatkan Prestasi Belajar Matematika Materi Penyajian Data Melalui Model Pembelajaran Discovery Learning pada Siswa Kelas VII C SMP Negeri 2 Muntilan Tahun Pelajaran 2018/2019

One of the problems in learning mathematics is the weak ability of students to apply knowledge to solve problems in real life, especially in solving the problem of presenting Data, collecting data, and presenting data. To overcome this problem, a class action research (PTK) was conducted using Discovery Learning model. The purpose of this study was to improve the learning outcomes of VII C grade students of SMP Negeri 2 Muntilan school year 2018/2019 using the Discovery Learning Learning model. The research subjects were students totaling 32 people, the source of research data obtained from qualitative data in the form of data observation activities of teachers and students and quantitative data in the form of student learning outcomes test data. The results of the first cycle of research obtained by students who completed individually as many as 24 students with classical completeness of 75 %. While the results of the second cycle of research has increased with the number of students who completed individually as many as 28 students with a percentage of completeness of 87.5 %. Based on the results of the study, learning using the Discovery Learning Learning model can improve the learning outcomes of VII C grade students of SMP Negeri 2 Muntilan school year 2018/2019.
Python for Global Applications: teaching scientific Python in context to law and diplomacy students

For students across domains and disciplines, the message has been communicated loud and clear: data skills are an essential qualification for today's job market.This includes not only the traditional introductory stats coursework but also machine learning, artificial intelligence, and programming in Python or R. Consequently, there has been significant student-initiated demand for data analytic and computational skills sometimes with very clear objectives in mind, and other times guided by a vague sense of "the work I want to do will require this."Now we have options.If we train students using "black box" algorithms without attending to the technical choices involved, then we run the risk of unleashing practitioners who might do more harm than good.On the other hand, courses that completely unpack the "black box" can be so steeped in theory that the barrier to entry becomes too high for students from social science and policy backgrounds, thereby excluding critical voices.In sum, both of these options lead to a pitfall that has gained significant media attention over recent years: the harms caused by algorithms that are implemented without sufficient attention to human context.In this paper, we -two mathematicians turned data scientists -present a framework for teaching introductory data science skills in a highly contextualized and domain flexible environment.We will present example course outlines at the semester, weekly, and daily level, and share materials that we think hold promise.
Literary Competence of Pre-Service English Teachers

English teachers are in demand today either in the field of education or other specializations. Literary competence gives paramount impact to be adept in English literature. The main purpose of this study was to determine the literary competence of Pre-Service English Teachers. Specifically, it sought to answer the respondents’ level of literary competence and the respondents’ literary competence in elements of poetry. Cross-sectional descriptive design was used with a 30-item literary competence test composing point of view, literary device, sound values, and structure. A researcher made questionnaire was administered to fifty respondents. The questionnaire underwent validation through pilot-testing. The results implied that most of the respondents were still in the developing level. It also revealed that they were least competent in structure as part of the elements of poetry. Therefore, the respondents lacked literary competence expected of a Pre-Service English teacher. It was recommended that an intervention scheme must be crafted and utilized to achieve literary competence.
IMPROVING WRITING ABILITY FOR STUDENTS

Everyone basically has the ability to communicate, especially writing. The ability to write is acquired through a learning process not inherited. In college, the ability to write is very important for students, especially for compiling scientific works such as papers, theses, theses, dissertations, and reports. Problems faced by novice writers. These include: (1) fear of starting, (2) not knowing when to start, (3) organizing, and (4) language. Determining the initial attitude for novice writers will determine success or failure in writing. Regarding the process approach, writing activities are divided into three stages, namely: pre-writing stage, writing stage, and post-writing stage. Keywords: communicating, pre-writing, writing process, post-writing.
Fringe pattern inpainting based on dual-exposure fused fringe guiding CNN denoiser prior

The intensity of some pixels of the captured fringe will be saturated when fringe projection profilometry is used to measure objects with high reflectivity, which will significantly affect the reconstruction of the measured object. In this paper, we propose a fringe pattern inpainting method based on the convolutional neural network (CNN) denoiser prior guided by additional information from a fringe captured in short exposure time. First, a binary mask obtained by Otsu algorithm from the modulation information of the short exposure fringe is used to detect the high-saturation region in the normal exposure fringe. Then, the corrected gray-scales of the region of the short exposure fringe selected by the mask are inserted in the saturated region of the normal fringe to form an initial fringe for iteration. At last, fringe pattern inpainting is achieved by using a CNN denoiser prior. The correct phase can be reconstructed from the inpainted fringes. The computer simulation and experiments verify the effectiveness of the proposed method.
An exact approach for radius of curvature measurement in a calibration test sphere

In this paper we present a technique to measure the radius of curvature of a test sphere based on the relation between acquired images of a circular cosine fringe pattern and size of virtual image formed on the calibration test surface. Radius of curvature is calculated with the exact equation proposed, using the parameters of the optical setup. Fringe pattern evaluation was performed by locating extrema indices. The mathematical formulation as well as the experimental setup and results are presented. After applying a linear fit algorithm to the data as a method of compensation, obtained results show an error within the tolerance established by the ISO 10343 specifications.
Research on Copyright Infringement of Network Short Video and Webcast

In recent years, with the rapid development of Internet communication technology and the continuous updating and upgrading of Internet terminals, especially smartphones and tablets, network short video and network live broadcast platforms have sprung up, and have a great impact on people’s lives. The huge economic benefits also attract more and more people to invest in short video creation and webcast. However, the frequent occurrence of copyright infringements requires our attention and consideration. This paper will study the copyright infringement of online short video and live broadcast from three aspects: the copyright infringement of online short video, the copyright infringement of online live broadcast, and the liability determination of online short video and live broadcast platform.
Social Media Usage among Students of Public Day Secondary Schools in Eldoret Urban, Uasin Gishu County, Kenya

Education is the pivot and tool for individual and national development. Therefore, it is important to ensure that learners in school are educated with quality and with minimal distractions. Unfortunately, social media has become one of the biggest sources of distraction for learners everywhere. Learners who have limited parental or school monitoring, such as those who attend public day secondary schools in urban environments, tend to suffer most from the use of social media. Therefore, the study examined the extent of social media usage among students in public day secondary schools in Eldoret urban, Uasin Gishu County, Kenya. The study used ex-post facto (causal comparative research design). The target population was 5,720 students of Form 4 and Form 3 from 22 public day secondary schools. Only 7 public day secondary schools were selected using stratified random sampling technique. The sample size consisted of 182 participants selected accordingly (140 students and 42 teachers). The study used structured questionnaires for data collation. Data was handled using descriptive statistics and presented using charts, graphs and tables. The results showed that the students used the major social network sites such as WhatsApp, Twitter, Instagram, Facebook, Snapchat, YouTube and Google. Students mainly used these platforms for socializing activities rather than academic purposes. The students used platforms for chatting, making friends and for entertainment purposes. It is recommended that the schools, in collaboration with the parents, should develop media platforms for the students that could incorporate academic features to assist in drawing learners’ focus from non-scholarly activities. The study provides insight for parents, teachers and those responsible for learners to know the nature of activities that learners undertake on social media. The research also provides data or information that can be used for in education, especially on the issues of digital ...........
Maximum Distance Separable (MDS) Matrix of size m x m over Zq

The Maximum Distance Separable (MDS) code is one of the codes that known as error-correcting code where the generator matrix [I|A] is arranged by the identity matrix and the MDS matrix. In coding, MDS matrix can detect and correct errors optimally. A matrix over the Zq is called an MDS matrix if and only if all the determinants of its square submatrix are non-zero. A matrix over the Zq is called an MDS matrix if and only if all the determinants of its square submatrix are non-zero. In m x m matrix over Zq, the analyzed of possible entries and determinants of submatrix can be declare the existence of an MDS matrix of size m x m over Zq. The result is there will be no MDS matrix of size m x m where m greater than or equal to [(q-1)^2 + 1] - [q-2] for Zq with any of q. For Zq with q prime, there will be no MDS matrix of size m x m where m greater than or equal to [(q-1)^2 + 1] - [q-2] - [1/2 x (q-1)].