Reviewerly/exHarmony huggingface dataset:
PENGARUH PENGGUNAAN MEDIA AUDIO VISUAL TERHADAP KETERAMPILAN BERBICARA PADA PESERTA DIDIK KELAS V SEKOLAH DASAR

This study aims to determine the effect of the use of audio visual media towards speaking skills in 5th grade students in Elementary School. This research was conducted in July 2019. The method used was an experimental method with the Posttest Only Control Design. The sample in this study were 28 students, while the sampling used simple random sampling techniques, so that selected Elementary School Pisangan Baru 13, East Jakarta. The data collected by using a test instrument in the form a questionnaire with Likert scale. The data was analyzed with t-test techniques. Based on the result of the t-test calculations, the tcount 3,385 > ttable 3,005, so the H0 is rejected and H1 is accepted. So, it can be concluded that the application of audio visual media has a positive effect on the speaking skills on 5th grade students in Elementary School.
Blockchain Secured Smart Blocks For Legacy Internet of Things Devices

This paper presents the preliminary work on smart blocks, a collection of blockchained modules of sensors and actuators for upgrading legacy IoT systems. After deployment, the large number of IoT devices can hardly evolve cooperatively with the changing requirements. Smart blocks enhance existing IoT networks with hardware modules that can be connected together in the field. Besides security, privacy, and transparency, blockchains also add a layer of value exchange on networks.
A Study on ICT Standard Cooperation between Two Koreas in the Fourth Industrial Revolution

북한에서는 2000년대 이후 ICT를 모든 산업의 현대화를 이끌 핵심으로 꼽으며 ICT를 통한 이른바 ‘단번도약’을 준비해왔다. 그러나 실제로 ICT가 북한이 선언한 만큼 경제난 완화에 기여하고 있다고 보기는 어려우며, 소프트웨어 분야를 제외하고는 대부분 취약한 상황으로 파악되고 있다. 여기에는 사회적 폐쇄성과 대북 경제제재 등으로 국제표준 기반의 선진 기술 습득과 호환성 확보가 어렵다는 점이 큰 장애물로 작용했을 것으로 보인다. 강제표준으로서 북한 생산 활동의 절대적 지침이라고 할 수 있는 국가규격에는 이러한 현실이 잘 반영되어 있다. 북한의 ICT 분야 국가규격 중 2015년도를 기준으로 국제표준과 일치하거나 부분 일치하는 비율은 32%였으며, 교체되거나 폐지된 국제표준을 제외하면 11%에 불과한 것으로 나타났다. 이는 북한이 선진기술을 도입할 수 있는 수단이자 대외무역 발전을 위한 통로로서 국제표준의 도입에 많은 관심을 가지고 적극적인 수용태도를 보이고 있는 것과는 상반되는 결과로, 북한이 실제로 최신 국제표준의 습득과 국가규격의 국제표준 부합화에 어려움을 겪고 있다는 방증이다. 이와 같은 북한의 상황을 고려할 때, 향후 국제표준화 공동대응을 통해 장기적인 남북한 표준협력을 모색해볼 수 있을 것으로 보인다.Since the 2000s, North Korea has identified ICT as the key to modernizing all industries and has been promoting economic growth through ICT. In fact, however, it is hard to say that ICT is contributing to alleviation of economic crisis as declared by North Korea, and it is considered to be mostly vulnerable except for the software. It seems that the difficulty of acquiring advanced technologies based on international standards and securing compatibility due to social closeness and economic sanctions against North Korea has been a major obstacle. This reality is reflected in the national standard, which is an absolute guide for North Korean production activities as a compulsory standard. As of 2015, 32% of North Korea s national standards in ICT sector were in line with international standards. However, with the exception of international standards that have already been replaced or abolished, only 11 percent have been found to match international standards. This is in contrast to North Korea s willingness to activly accept international standards with much interest as a means to introduce advanced technologies and a channel for the development of foreign trade. This means that North Korea is actually having trouble acquiring the latest international standards and corresponding with international standards. Given the situation in North Korea, it is likely that the two Koreas will be able to promote long-term standard cooperation through joint international standardization responses in the future.
A GUI Based Application for Image Enhancement and Character Recognition using MATLAB

Abstract Image enhancement is a technique to increase the brightness of an image. It is also referred to as improving the quality of an image. In this paper, author discussed about the implementation of enhancement techniques like histogram stretching and histogram equalization. The implementation is done using MATLAB by designing an Image Enhancement based GUI prototype. The proposed GUI also supports the extraction of alphabetical and numerical character by using Optical Character Reorganization (OCR) technique. Keywords : Image enhancement, histogram, stretching, equalization, OCR Cite this Article Pravin Wararkar, Shashikant Patil. A GUI Based Application for Image Enhancement and Character Recognition using MATLAB. Journal of Advances in Shell Programming . 2019; 6(2): 28–34p.
Norm violation in online communities -- A study of Stack Overflow comments

Norms are behavioral expectations in communities. Online communities are also expected to abide by the rules and regulations that are expressed in the code of conduct of a system. Even though community authorities continuously prompt their users to follow the regulations, it is observed that hate speech and abusive language usage are on the rise. In this paper, we quantify and analyze the patterns of violations of normative behaviour among the users of Stack Overflow (SO) - a well-known technical question-answer site for professionals and enthusiast programmers, while posting a comment. Even though the site has been dedicated to technical problem solving and debugging, hate speech as well as posting offensive comments make the community toxic. By identifying and minimising various patterns of norm violations in different SO communities, the community would become less toxic and thereby the community can engage more effectively in its goal of knowledge sharing. Moreover, through automatic detection of such comments, the authors can be warned by the moderators, so that it is less likely to be repeated, thereby the reputation of the site and community can be improved. Based on the comments extracted from two different data sources on SO, this work first presents a taxonomy of norms that are violated. Second, it demonstrates the sanctions for certain norm violations. Third, it proposes a recommendation system that can be used to warn users that they are about to violate a norm. This can help achieve norm adherence in online communities.
Classification of Labor Using Support Vector Machine in North Sumatera

Labor markets in Indonesia are key challenges and policy issues. Balai Besar Pengembangan Latihan Kerja (BBPLK) Medan is a services unit to develop and implementation of labor to increase skill and knowledge. The classification of labor in North Sumatera is very interesting to evaluate the performance of the labor in North Sumatera. In this case, we compute the labor data to classify and evaluate the model and performance of the dataset. The computation of the dataset using the support vector machine (SVM) as a model in machine learning or probabilistic approach by training and test data. The data was collected from Badan Pusat Statistik (BPS) Sumatera Utara for 2018 samples. Labor force dataset in North Sumatera had been computed and shown the result, indicates the support vector machine classifier is the good algorithm for this classification problem, offering good values in terms of accuracy, for describe the labor force in North Sumatera and can be recommended to BBPLK to add more development and implementation.
Domestic public debt and financial development in Sub-Saharan Africa: Is there an inverted-U relationship?

This paper assesses the nonlinear effect of domestic public debt on financial development using a panel of 20 low-income Sub-Saharan African countries over the period 2000-2010. Based on the framework proposed by Lind and Mehlum (2010), our analysis confirms the existence of an inverted-U relationship between domestic public debt and bank credit to the private sector with a threshold of about 52 % of GDP. The regression results are robust across different specifications and diverse estimation techniques.
Human Language in the Digital Age

The aim of the research is to investigate how the advent of digital technology influences the social sphere of the society, its language in particular. One of the tendencies in current communication is its active shift to the virtual reality. The generation of “digital natives” creates their own language to serve the Internet needs. It bring into existence the phenomenon of “digital creolization” which is specifically characterized by using different techniques of occasional word-formation. Applying the methods of accumulation, comparison, description and statistical analysis of the valid examples, the author finds out the most widely spread word-forming techniques, namely: patterning, holophrase, creation, and interlacing. The phenomenon under study could have both negative and positive consequences: on the one hand, it makes the literary norm of the language more unstable and eventually can result in misunderstanding between some layers of the society and, in its extreme form, in the loss of some social experience gained; on the other hand, this phenomenon is guided by the traditional word-forming techniques, which testifies to the fact that the vital conservatism of the language mechanisms will prevent it from being distorted to a fatal extent. Conducting further detailed research in this field will enable scientists to generate some practical recommendations useful for those who feel responsible for building the dependable “linguistic bridge” for smooth transfer of the experience gained to future generations.
Programminga D-wave annealing-based quantum computer

Quantum annealing is a form of quantum computing that exploits quantum effects to probabilistically solve a specific, NP-hard problem: finding the ground state of a classical, Ising-model Hamiltoni...
Investigating Semi-Automatic Procedures in Pattern-Based Lexicography

In this contribution we present existing pattern description models with different degrees of computerization, discuss their potential from the perspective of the creation of an e- lexicographic resource for language learners, introduce the parameters of pattern accuracy and ontology reliability for a qualitative evaluation of the results, and make some proposals for a future quantitative evaluations. The models discussed are a) Hanks’s CPA and the Pattern Dictionary of English Verbs (PDEV), b) methods employed by Tecling (Technologies for Linguistic Analysis, Pontifical Catholic University of Valparaiso, Chile) and Verbario, a pattern database of Spanish verbs, and c) an ongoing lexicographic project for the compilation of a learner’s dictionary of Italian linked to a conceptual ontology. These approaches are founded in the tradition of theories focussing on the connection between lexis and grammar, especially in John Sinclair’s view of normal patterns of usage as the true bearers of meaning of a language.
A semantic assessment framework for e-learning systems

Semantic web technologies are applied in a wide spectrum of applications including search engines, web services discovery and composition, semantic tags and electronic assessment of e-learning systems. Recently, the field of electronic assessment has grabbed the attention of many researchers. Electronic assessment is a real challenge taking to consideration the diversity of question types. E-assessment of answers to open questions has created new challenges regarding extracting students' answers using natural language processing techniques and infer new knowledge using description logic reasoning. To be able to automate the process of assessing the students' answers, they have to be annotated with semantics. This paper presents a thorough survey of significant research efforts that adopt semantic annotation to enhance the process of e-assessment. Moreover, in this paper, we propose a semantic-based framework that automates the process of electronically assessing the answers of questions on e-learning systems based on their semantic descriptions.
Pembelajaran Matematika Dengan Strategi Student Team Achievement Division (Stad) Dan Teams Games Tournament (Tgt) Terhadap Hasil Belajar Ditinjau Dari Minat Belajar Siswa Kelas X Ma Al Azhar Andong Semester Genap Tahun 2016/2017

The purpose of the research are to analyze: (1) the effect of learning strategies Student Team Achievement Division andTeams Games Tournamentson learning outcomes. (2) the effect student learning interest of students for learning outcomes. (3) the interaction between learning strategiesand learning interest of students on learning outcomes. Type of the research quantitative with quassi experimental design. Sample were taken by Cluster random sampling of the population of all students of class XMA Al-Azhar Andong.Data collection techniques by using questionnaires, tests and documentation. Before to the analysis, first tested the normality and homogeneity test. The hypotesistent use unvalance two way analysis of variance with the result of this tudy showed: (1) there was the effect of learning strategies Student Team Achievement Division and Teams Games Tournaments on learning outcomes. (2) there was not effect student learning interest of studentsfor learning outcomes. (3) there was not interaction between the learning strategies Student Team Achievement Division and Teams Games Tournaments and learning interest of students on learning outcomes.
English Myanmar Dictionary System by Using Linear and Binary Search Techniques

This paper is aimed to develop a searching method based on binary search and linear search as well as to understand the finding of search methods. The system searches the desired word for English to English and English to Myanmar. The system may help the English may help the English Language user enable to know the desired word of English and Myanmar meaning. The system output is searching word of English meaning, Myanmar meaning, part of speech, searching time and step. And also, the system finds cross reference and user's unknown word by using binary search and linear search of searching algorithm. This system is implemented by using ASP.NET platform.
Design path of hybrid bean planting machine based on human-machine symbiosis aesthetics theory

Abstract Based on the theoretical study on the creative design theory of hybrid bean planting machinery, and combined with the aesthetic characteristics of hybrid bean planting machinery modeling of perceptual engineering-promoted symbiosis mechanism, an innovative design path based on man-machine symbiosis aesthetics of hybrid bean planting machinery was constructed to realize the innovative design style of hybrid bean planting machinery under the background of intelligent age, and thus improving the design level of agricultural machinery finishing.
Implicit Multi-Agent Coordination at Unsignalized Intersections via Topological Inference.

We focus on navigation among rational, non-communicating agents at unsignalized street intersections. Following collision-free motion under such settings demands nuanced implicit coordination among agents. Often, the structure of these domains constrains multiagent trajectories to belong to a finite set of modes. Our key insight is that empowering agents with a model of these modes can enable effective coordination, realized implicitly via intent signals encoded in agents' actions. In this paper, we represent modes of joint behavior in a compact and interpretable fashion using the formalism of topological braids. We design a decentralized planning algorithm that generates actions aimed at reducing the uncertainty over the mode of the emerging multiagent behavior. This mechanism enables agents that individually run our algorithm to collectively reject unsafe intersection crossings. We validate our approach in a simulated case study featuring challenging multiagent scenarios at a four-way unsignalized intersection. Our model is shown to reduce frequency of collisions by >65% over a set of baselines explicitly reasoning over trajectories, while maintaining comparable time efficiency.
LibGuides: Keep Learning with Kellar Library: COVID-19 Pro Bono Resources

A guide helping students and faculty of BMATS to understand how Kellar Library is responding during the Coronavirus Pandemic and the resources and services that are available to students during this time, If information providers have opted to provide free access to their resources, they will be listed here.
Improving Dictionaries by Measuring Atypical Relative Word-form Frequencies

In this article, we discuss and give examples of how word-form frequency information derived from existing corpora statistics can be used to improve dictionary content. The frequency information is used in combination with rule-based morphological data based on derivational and inflectional information from the Swedish Morphological Database compiled at the University of Gothenburg, and the lexical database owned by the Swedish Academy. The method currently used in the ongoing project for updating the monolingual Contemporary Dictionary of the Swedish Academy is described, and some examples of dictionary entries identified as candidates for update based on frequency measures are given. Different aspects of morphological dictionary content are discussed and highlighted by comparison between the above-mentioned definition dictionary and a learner’s dictionary. The role of headword or lemma as well as cross-referencing methods in a digital dictionary as compared to a printed dictionary is also discussed. Finally, a few examples of suggested modifications and enhancements are given.
Operational resource conversion between coherence and entanglement in multipartite systems

We establish a kind of resource conversion relationship between quantum coherence and entanglement in multipartite systems, where the operational measures of resource cost and distillation are focused on. The coherence cost of single-party system bounds the maximal amounts of entanglement cost and entanglement of formation generated via multipartite incoherent operations. The converted entanglement in multipartite systems can be further transferred to subsystems or restored to coherence of single party by means of local incoherent operations and classical communications. The similar relations also hold for distillable coherence and entanglement. As an example, we present a scheme for cyclic interconversion between coherence and entanglement in three-qubit systems under full incoherent operations scenario. Moreover, we also analyze the property of genuine multi-level entanglement by the initial coherence and investigate resource dynamics in the conversion.
Ensemble Attribute Collection and Conformable Leader Election for Data Clustering

Clustering is one among the outstanding information mining approach extensively accustomed to categorize the information supported by their similarity. High-dimensional information analysis always presents a new era in the territory of data mining. Many variable selection techniques like density-based, model-based, and grid-based exist in the literature. However, high-dimensionality cluster analysis is lagging behind in accuracy and requires high processing time. To handle the dimensionality curse, efficient dimensionality reduction technique with appropriate feature selection is to be identified yielding clustering quality with less processing time. The proposed approach effectively handles the dimensionality by identifying most representative and sufficient subset of the attributes using ensemble approach along with conformable leader algorithm to cluster the data objects. Experimental evaluation proves that the quality of the clusters is improved with conformable leader approach and the execution time is reduced with dimensionality reduction.
The Millennials: How and Why They Are Using Public Libraries. Reporting from Kyrgyzstan, the United States and Italy

The Millennial Generation, sometimes referred to as Gen X—those young men and women born between 1981 and 1996—are the first generation of “digital natives.” This column reports on how their use of technology has changed public library services in Kyrgyzstan, the United States and Italy.
USAGE OF ADVERSARIAL EXAMPLES TO PROTECT A HUMAN IMAGE FROM BEING DETECTED BY RECOGNITION SYSTEMS BASED ON DEEP NEURAL NETWORKS

Recently, human recognition systems based on deep machine learning, in particular, on the basis of deep neural networks, have become widespread. In this regard, research has become relevant in the field of protection against recognition by such systems. In this article a method of designing a specially selected type of camouflage applied to clothing, which will protect a person both from recognition by a human observer and from a deep neural network recognition system is proposed. This type of camouflage is constructed on the basis of competitive examples that are generated by a deep neural network. The article describes experiments on human protection from recognition by Faster-RCNN (Regional Convolution Neural Networks) Inception V2 and Faster-RCNN ResNet101 systems. However, the implementation of camouflage is considered on a macro level, which assesses the combination of the camouflage and background, and the micro level which analyzes the relationship between the properties of individual regions of the camouflage properties of the adjacent regions, with constraints on their continuity, smoothness, closure, asymmetry. The dependence of camouflage characteristics on the conditions of observation of the object and the environment is also considered: the transparency of the atmosphere, the intensity of pixels of the sky horizon and the background, the level of contrast of the background and the camouflaged object, the distance to the object. As an example of a possible attack, a “black box” attack, which involves preliminary testing of generated adversarial examples on a target recognition system without knowledge of the internal structure of this system, is considered. Results of these experiments showed the high efficiency of the proposed method in the virtual world, when there is access to each pixel of the image supplied to the input systems. In the real world, results are less impressive, which can be explained by the distortion of colors when printing on the fabric, as well as the lack of spatial resolution of this print.
Maneuvering Target Tracking Based on Multiple-model Multipath Bernoulli Filter

Abstract Aiming at the problem of maneuvering single target tracking in over the horizon radar system under the clutter environment, a novel multiple-model multipath Bernoulli filter (MM-MPBF) algorithm is proposed. First, the multipath target measurement model is established based on the finite set statistics, and then combining the multiple models method with the multipath Bernoulli filter to deal with the single maneuvering target tracking problem in over the horizon radar system. Finally, the simulation experiment is used to verify the performance of the MM-MPBF algorithm.
LibGuides: Educational Tools for Your Classroom: Other Tools

This guide offers a list of free resources that can be used by professors in their classrooms and by students when creating their assignments
Bayesian Interpolants as Explanations for Neural Inferences

The notion of Craig interpolant, used as a form of explanation in automated reasoning, is adapted from logical inference to statistical inference and used to explain inferences made by neural networks. The method produces explanations that are at the same time concise, understandable and precise.