Reviewerly/exHarmony huggingface dataset:
An Analysis on the Ratio of Common Words and Its Educational Use in 『Yuwen』 Chinese Elementary School Textbook

China’s 『Yuwen』 textbook not only conforms to the cognitive development process of students in terms of cognitive language, but also is evaluated as a textbook with both discipline, science and normality in terms of language. Among them, elementary school textbooks are already recognized for their educational value through the study of various papers.BR In order to find ways to actively utilize elementary school textbooks of important educational value in our field of Chinese language education, this paper aims to analyze the ‘high level vocabulary’ used in textbooks to explore the possibility of using them for Korean Chinese learners in the CFL environment.BR First, we compared and analyzed the international Chinese language education vocabulary of 『The Graded Chinese Syllables, Characters and Words for the Application of Teaching Chinese to the Speakers of other Languages(汉语国际敎育用音节汉字詞彙等级劃分)』, 5000 new Chinese vocabulary, 『Chinese 8000 Words(华语8000词)』 and 4 Korean vocabulary list of Chinese language curriculum 2015. The first and second syllables of the 『Yuwen』 textbook were almost commercialized, so most of them matched the vocabulary lists for international Chinese language education without much difference. However, in the three-and-four-syllable high frequency vocabulary, the ratio of common vocabulary is relatively low.BR This is because there are many uses of vocabulary considering the target of children’s learning, which is a characteristic of 『Yuwen』 textbooks in elementary schools. So, it seems that there is a difference between the vocabulary for international Chinese language education that wants to learn commercial language first.BR In learning a foreign language, the learning of basic commercial language is very important and must precede. However, at a certain level, there will also be a greater need to learn more about learning, namely, social and cultural expressions that are more Chinese and contain only Chinese colors. In that sense, the 『Yuwen』 textbook contains various types of articles, such as prose, poetry, fairy tales, fables, and historical stories, so I think it is easy to find out various vocabulary and aspects of its use. Therefore, the proper use of the vocabulary and related sentences in the 『Yuwen』 textbook to suit the learning stage of foreign learners will not only improve the Chinese language skills but also enhance the application ability to use the vocabulary from the perspective of various subjects.
Developing a big book has a conservation character in early reading

A teacher must be able to develop learning media that are able to facilitate the transfer of knowledge they have, for the purpose of this study is how to develop the big book media with conservation characteristics in early reading. The results of the development of this media are carried out using the Research and Development (R &amp; D) research method, with the experimental subject covering three parts, namely needs analysis, media development stage, and media effectiveness test. Research instruments using questionnaires (open and closed questions), interviews, observation, documentation. The results of this study show in media validation with a total score of 80 with very good categories, deficiencies in media development are revised according to the notes from experts. Judging from the results of the validation about the content of the material in the big book conservation characteristics were obtained at 93% with very feasible criteria to be used by students and can be tested to see the effectiveness of big book media with conservation characteristics with many students 19 people in one class held at SD Labschool Unnes. Therefore the development of big book media with conservation characteristics is very effective in learning early reading.
From Council to Program: Creating the Program for Cooperative Cataloging

By early 1994, the Cooperative Cataloging Council had created the framework for a Program for Cooperative Cataloging to put its principles and goals into action, but much remained to be done. Decisions taken in the months ahead regarding standards, training, uses of technology and the future of existing cooperative programs would be crucial in gaining buy-in from catalogers and administrators, and determining whether the PCC would achieve the goals of better, cheaper, faster, and more cataloging.
Çeviri Sınavlarında Puanlama: Basit Metinler Örneğinde Dil Odaklı Değerlendirme

Translation is a field of practice beyond theoretically written and discussed.When it comes to training, the results of this practice should be evaluated.Accurate assessment requires the separation of people knowing or not and doing or not as precisely as possible.The more robust and reasonable the basic criteria and grounds underlying this distinction, the more adequate accountability can be mentioned.On the other hand, transparency regarding the evaluation criteria and reasons will show an egalitarian attitude in education.As a tool of measurement and evaluation, the 'grading key' refers to accountability as a value for institutions, and the sharing of assessment criteria and examination papers with learners as necessary means the conduct of transparency as a value.These values are seen from the criteria included in quality affairs in the relations of institutions with individuals.When the exam to be evaluated is a translation exam, it does not seem possible to mention the common accepted evaluation criteria today.The multifaceted and factorial nature of the translation phenomenon reinforces and justifies this lack of standards.In this study, it will be tried to find the answer to the question of whether there will be an grading key in translation exams.At the practice level, a grading key design will be proposed as a basis for the language-based evaluation of translation exams, and various examples of a translation task assigned to students will be evaluated on the scale of this grading key.
Barriers to Small and Medium Entrepreneurship in Kazakhstan: Qualitative and Quantitative Observations

Small and medium entrepreneurship is one of the determinants of the innovation economy, as well as the most important strategic resource for national development. The assessment of the efficiency and activity of small and medium entrepreneurship is carried out in a variety of ways. One of the tools that allows to position business entities in the system of integral economic coordinates is survey and ranks. A survey conducted by Kazakhstan Ministry of Economy, and National Economic Research Institute was evaluated by using SPSS software package (Statistical Package for the Social Sciences) to examine the relative importance of different barriers that affect the growth and operational effectiveness of SMEs in the developing countries with transition economies like Kazakhstan. The SPSS analysis indicated that a lack of awareness about laws and programmes, a lack of easy access to financial resources, level of corruption in public administration institutions, and poor access to and the quality of human resources are found to be the most important barriers, which have reduced the development of entrepreneurship in Kazakhstan. The findings of this study will assist the policy makers in the economy to create an environment conducive to the growth and consistent outstanding performance of SMEs in any economy.
Information Fusion Progress: Joint Optimization Based on Variational Bayesian Theory

By reviewing the development of information fusion theory in recent years, this paper analyzes the problems of target tracking systems, such as nonlinearity, multi-mode, deep coupling, networking, high-dimensionality and unknown disturbance input, and points out the necessity of joint optimization in target tracking system. Furthermore, several joint optimization methods, including the joint detection and estimation, joint clustering and estimation, joint association and estimation, joint decision and estimation are discussed. Meanwhile, we emphatically introduce the integrated optimization method based on the variational Bayesian theory that provides a unified framework of joint identification and estimation. Taking over-the-horizon radar as an application background, we give a general joint optimization method for the multi-path multi-mode multi-target tracking system in this paper. In addition, future research directions of the variational Bayesian theory in the field of target tracking are discussed.
Automatic Recognition of Chinese Separable Words Based on CRFs

Currently, most of the automatic recognition tasks of separable words adopt a rule-based method, which relies on automatic word segmentation results and lexical patterns generated from common inserted constituents. However, they suffer from incorrect word segmentation results and inaccurate and limited rules. Moreover, they ignore the rich information contained in the context. To address these issues, this paper proposes a CRFs-based method which employs nine features, such as character, POS tag, punctuation, word boundary, keyword and POS sequential rule. Experimental results on real-world datasets show that our approach can make full use of rich information and achieve significant improvements on recognition efficiency compared to all the baselines.
Concept Constructing in the Description Logic SROIQ based on Minimal RDF Reasoning

In the area of the Semantic Web, the expressive description logic SROIQ corresponding to OWL2 provides us rich reasoning and learning tasks for ontologies, e.g., inference engine, query-answering system, and concept learning. However, unlike simple ontologies in RDF graphs, it is not easy for users to build ontologies using the logical and complex expressions of SROIQ. In this paper, we propose (i) minimal model reasoning in the description logic SROIQ for RDF graphs and (ii) a SROIQ-concept constructing algorithm for the classes, properties and individuals in each RDF graph. In the minimal models of RDF graphs based on the closed world assumption (CWA), we prove the completeness, soundness and complexity of the minimal model reasoning in the description logic SROIQ. We define decidable SROIQ-concept constructing in a unique interpretation of SROIQ-concepts based on the minimal model reasoning. For infinite SROIQ-concept combinations constructed by classes, properties and individuals (even less expressive description logic concepts), our constructing method removes semantically identifying concepts, e.g., A⊓A, A⊓A⊓A, . . . if concept name A exists, in the minimal models. As a main theoretical result, we show the decidability and complexity of the concept constructing algorithm. We formalize two applications to the concept constructing algorithm as a SROIQ-concept query system and SROIQ-concept learning for RDF graphs. The query system for RDF graphs returns the answers of expressive SROIQ queries including concept variables. The concept learning enables us to logically induce SROIQ-concepts from positive and negative examples in knowledge bases.
Application of blockchain in interoperable simulation for strategic decision making

Blockchain is a modern and promising technology, it allows creation of distributed databases which guarantee data integrity. Indeed, in different forms it is currently used in numerous fields, from crypto currencies and Smart City to sharing of medical information and provenance control. Despite variety of known applications and demonstrated stability and redundancy, the Blockchain-based technologies are actively developing and news about innovative frameworks, algorithms and fields of application are appearing almost daily. This paper proposes a new and innovative application of Blockchain in the field of Modeling and Simulation (M&S), which allows to certify outputs of different models to support decision making process at strategic level. Indeed, this represents a potential combined use of innovative technologies combined with simulation to support the strategic engineering as new discipline devoted to guide decision making process. The paper proposes a case related to the construction of a power plant inside an urban framework and all the effects on the town strategic development plan and sustainability aspects
Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume

Deep learning has shown to be effective for depth inference in multi-view stereo (MVS). However, the scalability and accuracy still remain an open problem in this domain. This can be attributed to the memory-consuming cost volume representation and inappropriate depth inference. Inspired by the group-wise correlation in stereo matching, we propose an average group-wise correlation similarity measure to construct a lightweight cost volume. This can not only reduce the memory consumption but also reduce the computational burden in the cost volume filtering. Based on our effective cost volume representation, we propose a cascade 3D U-Net module to regularize the cost volume to further boost the performance. Unlike the previous methods that treat multi-view depth inference as a depth regression problem or an inverse depth classification problem, we recast multi-view depth inference as an inverse depth regression task. This allows our network to achieve sub-pixel estimation and be applicable to large-scale scenes. Through extensive experiments on DTU dataset and Tanks and Temples dataset, we show that our proposed network with Correlation cost volume and Inverse DEpth Regression (CIDER), achieves state-of-the-art results, demonstrating its superior performance on scalability and accuracy.
HMM-guided frame querying for bandwidth-constrained video search

We design an agent to search for frames of interest in video stored on a remote server, under bandwidth constraints. Using a convolutional neural network to score individual frames and a hidden Markov model to propagate predictions across frames, our agent accurately identifies temporal regions of interest based on sparse, strategically sampled frames. On a subset of the ImageNet-VID dataset, we demonstrate that using a hidden Markov model to interpolate between frame scores allows requests of 98% of frames to be omitted, without compromising frame-of-interest classification accuracy.
Advances in Collaborative Computing

Computing is any activity that usescomputers to manage, process, and communicate information. It includesdevelopment of both hardware and software. Computing is a critical, integral componentof modern industrial technology. Major computing disciplines include computerengineering, software engineering, computer science, information systems, andinformation technology.
Which of the Following cannot be Inferred from the above Passage?

Machine comprehension of text is an important research topic in natural language processing. In this study, to meet the Turkish data set requirement in this topic, a dataset was created from Turkish paragraph question type asked in various national level exams. Various approaches was developed using N-Gram similarity, TF-IDF and word vectors to solve paragraph questions. 41.57% success was achieved on the proposed dataset.
Pengembangan Multimedia Virtual Filed Trip Berbasis Animasi untuk Pendidikan Sopan Santun Berlalu Lintas di Sekolah Dasar

Abstract The purpose of VFT's interactive multimedia research and development is to produce a product in the form of a multimedia program about proper education on traffic manners by fulfilling validity criteria, practicality, attractiveness, and effectiveness. Validity results get an average of 88.75%, practicality gets an average of 95.26%, attractiveness gets an average of 98.87%, and effectiveness gets an average of 93.91% and with Pre Eksperimental Design with type one-group pretest-posttest design. The result of t test knowledge 4,528 >1,710 means that t count > t table, so there is a difference betwen students knowledge before and after using multimedia. The result of t test performance 4,4321 > 1,710 means that t count > t table, so there is a difference betwen students performancee before and after using multimedia. Abstrak Tujuan penelitian dan pengembangan multimedia interaktif VFT yaitu menghasilkan produk berupa program multimedia tentang pendidikan sopan santun berlalu lintas yang layak dengan memenuhi kriteria kevalidan, kepraktisan, kemenarikan, dan keefektifan. Hasil kevalidan mendapatkan rata-rata 88,75%, kepraktisan mendapatkan rata-rata sebesar 95,26%, kemenarikan mendapatkan rata-rata 98,87%, dan keefektifan 93,91% dan dengan Pre Eksperimental Design dengan jenis one-group pretest-posttest design. Hasil pengetahuan uji t 4,528 >1,710 artinya t hitung > t tabel sehingga terdapat perbedaan pengetahuan siswa sebelum dengan sesudah menggunakan multimedia. Hasil sikap uji t 4,4321 > 1,710 artinya artinya t hitung > t tabel, terdapat perbedaan sikap siswa sebelum dengan sesudah menggunakan multimedia.
Criteria, Indicators and Levels of the Formation of Socio-Cultural Values of Students at the University

The article reveals the logic of justification criteria, indicators and levels of the formation of socio-cultural values at the University. It has been determined that the criterion is a sign by which the level of socio-cultural values is formed, and the indicator is a component of the criterion that reveals the essence and features of socio-cultural values of students at the University. It is proved that the criterion base of the study is based on the structure of sociocultural values, containing motivational-value, cognitive, praxiological components. The motivational-value component of socio-cultural values corresponds to the motivational-axiological (indicators: motives, needs, attitudes, value attitudes to cultures and traditions of other nations, to the mentality and mentality of the Ukrainian people, to their homeland, to the future profession, to themselves and others); the cognitive component of socio-cultural values corresponds to the cognitive-reflexive (indicators: axiological knowledge and different representations in the context of socio-cultural values); the praxiological component of socio-cultural values corresponds to the subject-activity criterion (indicators: value experience, actions, student behaviors in relation to their socio-cultural values, willingness to absorb and produce socio-cultural values in the process of motivated activity on the basis of personality subjectivity). It was determined low, middle and high levels of social and cultural values of students at the University.
A Printed Chinese Character Recognition Method Based on Area Brightness Feature

This paper proposes a method for printed Chinese character recognition based on the area brightness feature, which is simple and has a low computational cost. It can achieve over 93% accuracy in recognizing printed Chinese characters equal to or greater than 10.5 pt which can meet the needs of certain situations (such as screen capture). The disadvantage of this method is its poor anti-distortion handling ability, and the recognition accuracy of smaller images still needs to be improved.
RANCANG BANGUN APLIKASI ENKRIPSI CITRA BERDASARKAN OPERASI ROTASI

Cryptography is a discipline that uses mathematical equations when doing the decryption process until encryption. This technique uses to convert the initial message into the form of certain codes, in this study using the rotation method, the rotation method itself is the algorithm to rotate the image on its axis in part of the image. Aiming that information stored and sent to the recipient can’t be read or not easily understood by a third party or parties that are not eligible, advantages of the research made is the speed of fast application process and the decline in file size and not easy manual decryption With other tools, the result of encryption application encoding the occurrence of file size that occurs after the decryption process and encryption when compared with the initial size of the image file, and there is no decrease in the size of the file on BMP extension, the speed of encryption time to the file and the pixel size in the image file extension BMP And PNG on 2000x2000 pixel size has the best speed improvement that is equal to 0.12x faster, and change the histogram in the initial image with the result of encryption. This research is built using Python 3.4 programming language, and coupled with Library PIL-pillow, Library Time.
Extracting features from text to improve statistical machine translation

In this paper we investigate the technique of extending the Moses Statistical Machine Translation (SMT) system default set of features using shallow linguistic information from source and target phrases. Although a typical SMT system uses a phrase table with 5 default features, most systems are scalable and support any number of additional features. We assume that linguistic information extracted from the source and target phrases can improve the overall translation quality, i. e. make the system more robust and reduce the number of instances of incorrect word choice, punctuation mistakes and other problems SMT systems are prone to. First, we build a baseline SMT system. Then we extract shallow linguistic features directly from source and target phrases of the baseline system’s phrase table. The features are precomputed and stored in the phrase table, so they can be regarded as stateless dense features. We develop and examine 19 features incorporating information from source and target phrases. We explore features commonly used in monolingual and parallel data filtering techniques. The features we investigate include source and target phrase lengths, word, number and punctuation symbol count, word frequencies according to large monolingual corpora etc. For each feature, we build and evaluate a separate SMT system. We conduct a series of experiments on the English-Russian language pair and obtain statistically significant improvements of up to 0.4 BLEU compared to baseline configuration.
Portfolio As A Way To Evaluate Educational Results

This article discusses the problem of analyzing the role of portfolio in evaluation process. Portfolio technology is a way of fixing, accumulating and evaluating a student’s individual educational results during a certain period of his education. Portfolio allows us to take into account the results in a variety of activities: educational, creative, social, communicative.
Collection and Analysis of Perceived Information in Chat-oriented Dialogue

Understanding the various information from user utterances is important for chat-oriented dialogue systems. However, no study has yet clarified the types of information that should be understood by such systems. With this purpose in mind, we first collected information that humans perceive from each utterance (perceived information) in chat-oriented dialogue. We then categorized the types of perceived information. The types were evaluated on the basis of inter-annotator agreement, which showed substantial agreement and demonstrated the validity of our categorization. To the best of our knowledge, this study is the first attempt to clarify the types of information that a chat-oriented dialogue system should understand from varied user utterances.