Reviewerly/exHarmony huggingface dataset:
Pedagogical Competence as Means of Developing the Professional Potential of the Teacher

To date, the result of vocational education should not be a qualification, but professional competence, as competence implies the presence of professionally important qualities, the higher level of training of the specialist.In connection with joining the Bologna process aimed at the formation of the common European secondary and higher education zone, the relevance of the introduction of the competency-based approach becomes increasingly obvious. The conception of modernization of Kazakh education clearly determines the purpose of vocational education as the training of the qualified worker of the appropriate level and profile, competitive in the labour market, competent, responsible, fluent in his profession and oriented in related fields of activity, capable of effective work in the specialty at the level of world standards, ready for constant growth, social and professional mobility.Kazakhstan is actively entering the area of activity of the Bologna Declaration, which dictates changes in the structure and content of the education system. The process of modernization of education is implemented through the adopted State program of education development in Kazakhstan for 2011-2020, which determines the terms of implementation and forms of transition to the updated content of education. Special attention is paid to the issues of training of highly qualified teachers, who are able to adapt to the conditions of growing dynamism and uncertainties and to be active subjects of the new educational practice - education throughout life.
Facial expression classification using salient pattern driven integrated geometric and textual features

Facial expression classification aims to recognize human emotion via face images. The major challenge of facial expression classification is how to extract discriminative features from the human face images to differentiate various emotions. To tackle this challenge, a new feature extraction approach is proposed in this paper. The proposed approach defines a new set of salient patterns at the facial keypoint locations. This is in contrast to conventional approaches that either represent the whole face image as a regular grid or use local image patches centered at all facial key point locations. Driven by the proposed salient patterns, both the geometric and textual features are extracted and then concatenated and further incorporated into a machine learning framework to perform facial expression classification. The proposed approach is evaluated in the well-known CK + benchmark dataset to demonstrate its superior performance.
Implementasi Algoritma Raita Pada Aplikasi Hukum Kanonik Berbasis Mobile

Canonical law is an internal church law governing the Catholic Church, Eastern Orthodox Church, Eastern Orthodox Church, Anglican Communion. How the laws of the church are governed, interpreted and sometimes examined differ fundamentally between the three church bodies. in all three traditions, a canon was originally a rule accepted by an assembly, these canons formed the basis for canon law. Raita algorithm is part of the exact string matching algorithm, which is matching the string exactly with the arrangement of characters in the matched string that has the same number or sequence of characters in the string. Matching strings on the raita algorithm is done through a shift from the right of the character then to the left of the character and to the middle of the character. The problem in this research is the content of canon law in general consists of a very large number of pages of books, this makes it difficult for canonical law users to find the contents needed, then in the search it takes time to find the contents of canonical law that are searched for too many search problems. that is, too much time must be needed to find the contents of the canonical law sought
Measurement of Website Service Quality Using Webqual 4.0 (Case Study of Kotakaler Village Website)

The need for accurate, fast, current, relevant and reliable information for the community is a necessity in the information age. In order to meet these needs and encourage good governance with the support of information and communication technology, local government websites have been built. Local government websites that can provide a variety of information and services are expected to support the creation of smart citizens and smart government. Government website is not enough just to be built but its quality must also be evaluated. This study measures the quality of the local government website (case study of Kotakaler Village) so that the level of quality can be known to provide an overview or reference in developing the website itself. This research is a qualitative descriptive study. Website quality assessment using the WebQual method which is a method of measuring website quality based on end-user perception in three dimensions, consisted of information quality, interaction quality, and usability. The results showed that the website of the boxer village has a high level of quality in all three dimensions. Keywords: Website, WebQual, Usability, Information Quality, Interaction Service Quality
DEVELOPING LEADERSHIP CAPACITY OF INFORMATION TECHNOLOGY APPLICATION IN TEACHING AT ETHNIC MINORITIES BOARDING SECONDARY SCHOOLS IN DAK LAK PROVINCE IN THE CURRENT PERIOD Situation and problems raised

Application of ICTs in teaching in ethnic minority boarding secondary schools in Dak Lak province has been implemented relatively extensively and achieved certain results. However, the application of IT in teaching still faces many difficulties and is not synchronized in all regions. Although aware of the role of IT application in teaching, it has not become an indispensable need. The majority of teachers are not sure about the process of applying IT in teaching, individual and discrete working ways; The sharing and exchanging of knowledge are not regular, so the expansion of knowledge is limited. It can be seen that ethnic minority boarding secondary schools in Dak Lak province have mostly stopped at the policy of applying IT in teaching, there are still lack of specific measures to influence and connect teachers. with learners, have not created a motivation for the application of IT in teaching, have not selected practical and focused application contents, and have not organized leadership to apply IT in teaching in a scientific and effective way. Therefore, there has not been a clear change in IT application in teaching at secondary schools for secondary education in Dak Lak province. Therefore, the organization of researching the current situation of developing leadership capacity in information technology application in teaching at ethnic minority boarding schools for secondary schools in Dak Lak province has proposed a solution system. measures to develop leadership capacity in the application of information technology in teaching in ethnic minority boarding schools for junior high schools is an important and urgent issue that has been posed in the context of the current industrial revolution 4.0. now on.
Anchor-free one-stage detector for unmanned aerial vehicle

With the popularity of commercial unmanned aerial vehicles (UAVs), people have easy access to UAV. However, people’s privacy and safety can be threatened if UAV flies at airports, private yards, etc. It is important to be able to detect the illegal UAV accurately and promptly on these vulnerable sites. However, motion blur, occlusion and truncation occur frequently due to fast movement of UAV. It is hard to make correct predictions because of the small size of UAV in images. In this paper, we propose an anchor-free one-stage method for UAV detection. The method eliminates the anchor boxes that are used in most existing detectors, which makes our method simpler and more efficient. We improve the detection accuracy in the following two ways. First, a new multi-scale feature fusion method is proposed to enhance the semantic information exchange between different scales. Second, a reasonable loss function is adopted to increase the proportion of small UAV’s loss. Experimental results validate the effectiveness of our improvements and our proposed detector achieve a superior performance.
Business viability of potential software projects using artificial neural network

Selection of a software project is a critical decision. This selection involves prediction to ascertain a project that provides the best business value to the organization. The process of selection is carefully undertaken to optimize scarce resources available, which makes it impossible to simultaneously invest in all business ideas and systems. The current traditional method of software selection does not consider risk factors among the many variables necessary to predict a project that could provide the best business value. More so, the current method such as an artificial intelligence approach, where project managers use more robust models to make predictions have not received the needed attention in developing models for software project selection. This research applied a branch of Artificial Intelligence called Artificial Neural Network to classify projects into three levels. The research designed an artificial neural network of four inputs, one hidden layer with twenty-seven (27) neurons, and three outputs. Keras, a python deep learning library that runs on a theano background was used to implement the model. This research used a secondary dataset, which was enhanced by the synthetic approach, to make the required data features needed in machine learning applications. Backpropagation Algorithm enabled the model to train and learn from the data, and K-fold cross-validation was used to measure the accuracy of the model on unseen data. The results of the simulation showed that the model performed up to 98.67% accuracy with a standard deviation of 2.6% performance on unseen data. The research concludes that using the artificial neural network for software project selection unleashes a new vista of opportunities in artificial i ntelligence where intelligent systems are developed based on robust models from data forproject selection.Keywords: Artificial Neural Network, Project selection, Machine LearningVol. 26, No. 1, June 2019
다음 카페 ‘오방기타’ 개설과 운영을 통해 형성된 공동체 활동

Using the analysis of online-community activities, the purpose of this study aimed to explore the developmental direction of Korean Jazz music, and to search the various problems and possibilities which Korean Jazz music has. Since 2003, the online community related to Jazz improvisation by the name of ‘Obanguitar’ has been running by writer.This paper suggests the various method of approach through the individual curiosity and its comments for the study of Jazz improvisation on the notice board, which is a kind of the forum, and propose the solution by the inference of cause about the distortion of Jazz study method, which has been shown in the center of the various topics.Also, in the middle and late 1990s, the Practical Music was established in university, and then the education of Jazz music has been well organized. However, coupled with the specific situation of the Korean university entrance examination system raised another problem. Thus, this paper found the various factors , that disturbed the development of Korean Jazz music. we suggest the various methods how to solve this problem such as basic music education on this paper.
Integrated Geophysical Studies on the Archaeological Sites without Relief Features (Ust-Tartas and Tartas-1)

Summary Geophysical survey techniques have become important tools for archaeological research. Integrated geophysical studies were conducted on two archaeological sites, Ust-Tartas and Tartas-1. The electromagnetic, electro-tomography and multiple-height magnetic survey methods were used. In these studies, the electromagnetic survey methods were used to determine the geometrical parameters of the buried objects, and also were most useful in areas of low contrast of the magnetic properties and contamination. Additional methods, the electro-tomography and multiple-altitude magnetic survey were used to carry out a more detailed study about the geometry and depth of objects. Obtained results from the electrical and electromagnetic surveys significantly complement the magnetic survey results. The integrated use of different geophysical methods is always useful for confidently identifying an anomalous object and reduce the ambiguity in the interpretation. The studies showed that the combination of geophysical data makes it possible to solve complex tasks so as to achieve the degree of information required for archaeological research.
Features and Significance of the “Nogeoldae” Textbook about the Spoken Chinese Language of the Joseon Era

It is impossible to dispute the fact that China has had an enormous influence on the culture of the entire Korean Peninsula. The writing system, the thoughts of Chinese philosophers, paper, the xylography method and the idea of a movable type – all this came to the peninsula long before the founding of the Joseon State. China was not only the overlord of Joseon, but also a kind of cultural donor. Of course, under such conditions, the Joseon authorities considered contacts with this region as the most important area of foreign policy and trade. In addition, a significant part of various kinds of literature — from Confucian writings to treatises on medicine was acquired in China for further circulation in Joseon. Due to the constant need for official and commercial communication between states, it was impossible to go without knowledge of a spoken language. For this purpose, the textbook titled “Nogeoldae” (lit. “Elder brother from China”) was created. Using the Goryeo merchant’s trip to China (in later editions this became the Joseon merchant) as the key example, the main situations accompanying such trips were examined in the form of dialogues. With the help of this manual it was possible to learn the phrases necessary for communication in the courtyard, conducting trade negotiations, participating in banquets, communicating with a doctor, and so on. The exceptional practical benefit ensured that this manual underwent several systematic reprints, as well as translation into Manchurian, Mongolian and Japanese languages. “Nogeoldae” is a unique written source on the history of the development of both the northern dialect of the Chinese language and Korean in the late Middle Ages and Early Modern times.
PENINGKATAN HASIL BELAJAR SISWA MENGGUNAKAN METODE BLENDED LEARNING BERBASIS SCHOOLOGY MATERI TATA SURYA KELAS VII DI SMP 01 ISLAM JEMBER

The Indonesian education system is increasingly developing, a form of information technology development that is applied in the education world is the Blended learning method, schoology based blended learning method is a learning approach that combines face-to-face learning activities with online learning using schoology applications. Students’ learning outcomes obtained from observations made in class VII B SMP 01 Islam Jember was 30% pre-cycle completeness data and 60% of students’ scores were still lower than 70 (KKM = 70). This research aims to improve students’ learning outcomes in learning solar system material using schoology- based blended learning methods. This type of research is classroom action research (CAR). Based on the results of the study, the percentage of completeness of the first cycle was 80% and the second cycle was 85%. This proves that students’ learning outcomes have improved with the adoption of blended learning methods based on schoology of solar system class VII in SMP 01 Islam Jember. Keywords: Learning Outcomes, Schoology Based Blended Learning.
Causal Relationships GDP per Capita, Human Development Index and Corruption Perceptions Index in Indonesia

The purpose of this study is to explain the causal relationship of GDP per capita, CPI and HDI Indonesia which is broken down into three hypotheses. The research variables were collected from the World Bank, Transparency International and United Nations Development Program documentation from 1995 to 2018. Results of the study: first, based on unit root test on each variable using Augmented Dickey-Fuller (ADF) at the 1st level difference in value absolute statistic t is greater than critical value according to MacKinnon table. Similarly, the Prob value is smaller than 0.05, therefore, the research variable data are stationary. Second, the granger causality test is by comparing the probability values of each hypothesis with a 5% error rate. Based on the data analysis not a single hypothesis was tested, however, it is found that the one-way relationship is that HDI drives GDP per Capita with a probability of 0.0161 <0.05 using lag length 4.
Peningkatan Kompetensi Bahasa Inggris Siswa SMAN 11 Pandeglang melalui Pelatihan Bahasa Inggris “How to Speak English Confidently”

IMPROVEMENT OF ENGLISH LANGUAGE COMPETENCE OF SMAN 11 PANDEGLANG STUDENTS THROUGH “HOW TO SPEAK ENGLISH CONFIDENTLY” ENGLISH TRAINING. Confidence is the key of success in education. Armed with confidence, every student could certainly develop into a human with a good character. Student who are confident will be able to accept himself, ready to accept the challenge in the sense of want to try something new even though aware that the possibility of one must have and tend to be more succesful in doing what he want. The objective of this community service activity is to provide scientific assistance to the students of SMAN 11 Pandeglang Banten in learning English,especially how to speak English confidently. The community service activity was carried out in the form of short training with members of 40 students held in the hall of SMAN 11 Pandeglang Banten. The method used in this community service activity is lecturing, drilling, questioning and practicing. Based on observation during this community service activity, several results were obtained. The result of this community service activity are increased insight of students of SMAN 11 Pandeglang Banten on speaking english confidently. The students in SMAN 11 Pandeglang Banten can speak fluently, dare to ask and declare in front of the class.
ANALISIS KEMAMPUAN MENULIS PANTUN SISWA KELAS V SD AN NAMIROH PUSAT KOTA PEKANBARU

The background of this research is the lack of students' ability to write rhymes. This lack of ability is caused by lack of interest in writing rhymes and rhymes writing activities, another cause is the lack of students' insights about rhymes and how to express precisely in the form of rhymes. The purpose of this study was to describe the ability writing poetry. This research is a descriptive quantitative research. This research was conducted at SD An Namiroh Pusat Kota Pekanbaru . The subjects of this study were 160 grade students. The data collection technique used is a written test technique. The data analysis technique used is descriptive analysis. The results showed that the ability to write pantun students included in the category of very good with an average value of 96. This can be seen from the acquisition of scores on four aspects of assessment, namely: (a) aspects of the number of lines in each stanza with an average value of 100 ; (b) aspects of the number of pata syllables per line with an average value of 93; (c) taxation aspects with an average value of 95; and (d) aspects of writing rhymes based on content with an average value of 97.
군수업체의 품질문화 수준조사 및 향상방안

Purpose: This article aims 1) to identify key elements for building quality culture, 2) to design and analyze survey data from defense industry companies, and 3) to suggest directions for enhancing quality culture levels.Methods: Key elements and items for a quality culture are derived by investigating related references and using affinity diagram. Questionnaire items to investigate the quality culture level of the organizations are prepared and the survey data on the level of quality culture of military defense companies are analyzed.Results: 1) Descriptive statistical analyses are presented to compare the levels of the six key elements. 2) In each element items with low scores are identified, which should be improved. 3) Among six key elements, ‘support ’element shows lowest level. 4) The quality culture level of the small-sized companies are relatively low. Conclusion: 1) To improve the quality culture level of the defense industry companies, it is necessary to provide quality education, to enhance recognition and rewards, and to invest resources for employees’ self-development. 2) Small-sized companies can easily be adapted to quality-oriented cultural change if the CEO leadership focuses on quality culture.
Previous observation regularized tracker

Discriminative correlation filter-based trackers get desired performances, but also suffer from unwanted problems such as boundary effect and overfitting. SRDCF tracker uses a spatial penalty matrix to alleviate the effect of boundary effect. STRCF introduces a spatial temporal regularized term to the objective function, which limits the change of filters of two continuous frames. However, both SRDCF and STRCF cannot address the problem of overfitting when targets’ appearance changes dramatically. Our work is an extension of SRDCF tracker and STRCF tracker. We use the observations of previous frames to constraint the filter, so that it is able to mitigate the overfitting problem. Furthermore, we apply incremental principal component analysis (IPCA) to extract the principal information of the previous frames' observations. The objective function can be efficiently solved using the alternating direction method of multipliers (ADMM). Our tracker and 9 state-of-the-art trackers are tested on the OTB-2015 benchmark. The experimental results demonstrate its satisfactory performance.
Embedded Signcommunication Recognition Using KNN and HMM-VITERBI Fusion Classifiers

A new hybrid approach for the Embedded Sign Language Recognition (ESLR) is proposed using the combination of the K-means NearbyNetwork (KNN) and Hidden Markov Model (HMM-VITERBI) classifiers in order to avoid the interpreter assistance. This system is combination of the hand gesture image recognition along with the Non-Audible Mumble (NAM) speech recognition system. For image recognition webcam with microcontroller unit with associated display device is used. For hand sign detection Bluetooth module is used. This type of approach will be very useful for the deaf and dump people. The proposed hybrid approach consists of two separate feature extraction techniques and one combined classification module is used to recognize the sigh language. By using this hybrid classifiers ourproposed method gives the accuracy ofabout 65% for the hand gesture images and accuracy of about 85% for the audio speech signals and the overall accuracy for both the inputs is been measured as 88%.
헝가리어 부정문의 통사구조

This paper aims to analyze the syntactic structure of the Hungarian negative sentences, which show some grammatical aspects in their word order as opposed to affirmative sentences, within the framework of the X-bar theory of Alberti Gabor and Medve Anna (2005). In Hungarian, which is rich in the system of morphology, the Negative Phrase(=NegP) is not a functional category, but free lexical adjunct to X’ structure. We examine the syntactic category of the NegP, and its relation with non-lexical functional categories such as topic, quantification and focus. We also analyze the syntactic structure of negative sentences realized in the negative word “sem” and in Negative Concord sentences. In conclusion, we confirm that negative sentences in Hungarian are generated by the same syntactic categories and principles as affirmative sentences.
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