Reviewerly/exHarmony huggingface dataset:
Conformity of Information Security Curriculum and Task Technology of Security System Design and Analysis

Background/Objectives: The National Initiative for Cybersecurity Education (NICE) recommends the skills and capabilities required by cybersecurity officers in connection with the staffing framework for cybersecurity. However, college education programs that train information protection personnel lack discussion and reflection on them. Therefore, in this paper, we analyzed the information protection curriculum of five universities in the Seoul metropolitan area of Korea and studied whether this process is suitable for the job requirements technology presented in the Framework for the Training of Cybersecurity Personnel.Methods/Statistical analysis: In this paper, the security techniques and security capabilities to be retained by the task force responsible for designing and analyzing the security system presented by NICE criteria were analyzed first. At that time, the security technologies required by the officer were classified into core and specialized technologies. The reason why NICE criteria are applied is because they are classified as most objective and reasonable internationally. In this paper, the curriculum of the major information protection departments in Korea and their relevance to the security technologies and technologies that should be equipped by those in charge were analyzed.Findings: The reason for this analysis is to see if information security curricula in 5 universities of the Seoul metropolitan area appropriate education system for conducting security system design and analysis. To analyze this, we classified requirements and capabilities of job skill of NICE framework. And the required skills and capabilities were mapped to security education subjects in the department of information protection. Studies show that the information security curriculum of five universities in the Seoul metropolitan area should be supplemented to acquire the skills required for the design and analysis tasks of security systems. In this study, what we found that the curriculum of the relevant university has features and advantages in each curriculum. However, if the departments concerned want to train the personnel responsible for designing and analyzing security systems, there are many more subjects to be added to the current curriculum.Improvements/Applications: The results of this paper were understandable about the security requirements and capabilities required to perform the tasks of design and analysis of security systems. It can also be used as a reference model when preparing and designing of future security curricula.
Data-Driven Economy: Challenges and Opportunities

The transformation of data into an independent and strategic asset poses challenges for companies, regulators and policymakers alike.On 17 June 2019 in Berlin, together with the German Economic Institute (IW), Intereconomics hosted a conference on the "Data-Driven Economy" to refl ect on the challenges and opportunities of competition policy, business models and data governance.In order to guide the data-driven economy to benefi t the greater good, regulators and policymakers will have to refi ne an often ineffi cient legal and regulatory framework.On the business side, tools such as marketplaces are needed to utilise data as an asset and monetise data while taking privacy and other considerations into account.In their contributions to the conference and in this issue, participants discuss their perspectives on -and varying models of -data governance.From the role data governance plays as an enabler of the data economy to its role in enhancing innovation and welfare, our discussants clearly showed that there is no 'one-size-fi ts-all' model of this concept.Looking at data governance from a management as well as a societal perspective, participants defi ned its terminology and provided examples of its application.The conference addressed the growing need for a comprehensive view of data, a conversation that will undoubtedly continue to evolve.
DETECTION OF TEXTURE-LESS OBJECTS BY LINE-BASED APPROACH

This paper proposes a method for tackling the problem of scalable object instance detection in the presence of clutter and occlusions. It gathers together advantages in respect of the state-of-the-art object detection approaches, being at the same time able to scale favorably with the number of models, computationally efficient and suited to texture-less objects as well. The proposed method has the following advantages: a) generality – it works for both texture-less and textured objects, b) scalability – it scales sub-linearly with the number of objects stored in the object database, and c) computational efficiency – it runs in near real-time. In contrast to the traditional affine-invariant detectors/descriptors which are local and not discriminative for texture-less objects, our method is based on line segments around which it computes semi-global descriptor by encoding gradient information in scale and rotation invariant manner. It relies on both texture and shape information and is, therefore, suited for both textured and texture-less objects. The descriptor is integrated into efficient object detection procedure which exploits the fact that the line segment determines scale, orientation and position of an object, by its two endpoints. This is used to construct several effective techniques for object hypotheses generation, scoring and multiple object reasoning; which are integrated in the proposed object detection procedure. Thanks to its ability to detect objects even if only one correct line match is found, our method allows detection of the objects under heavy clutter and occlusions. Extensive evaluation on several public benchmark datasets for texture-less and textured object detection, demonstrates its scalability and high effectiveness.
PENERAPAN KONSEP SMART BUILDING PADA FOOD CENTER DI JL. JEND. A. YANI KOTA PADANG

The development of architecture in Indonesia in the era of globalization is moving forward along with the development of technology. In addition, the use of energy also plays an active role in helping activities in buildings, therefore it is necessary to pay attention to nature and the human environment. Smart Building is an attempt to apply the concept of energy-efficient buildings in sustainable development for the future. This concept provides an effective and more efficient subsystem in managing, utilizing natural energy into artificial energy where buildings can produce energy for the activities that take place therein. This research is rationalistic deductive, this study uses theory as a tool to discuss the problems that are the object of research, analyze fact data and can later provide solutions to problems by applying the Smart Building concept. Keywords: Smart Building, Sustainable, Hemat Energi, Urban, Arsitektur
The Effect of Grade-wide Positive Behavior Support on Class Participation Behavior of Elementary School Students with intellectual disabilities

The purpose of this study was to investigate the effect of grade-wide positive behavior support on the in-class participation behavior of elementary school students with intellectual disabilities. For this purpose, grade-wide positive behavior support was provided for third grade students, including two students with intellectual disabilities, in elementary school “S”. Grade-wide positive behavior support interventions were provided to all students, with universal support for all third-grade students, small group support for some, and individual support for two students with intellectual disabilities. A research hypothesis was established for the two intellectually disabled students based on their direct and indirect functional assessments as well as surveys and interviews of the parents and students. A plan for mediating medium and large elements of each student’s behavior was then established and applied. The class participation behavior of two students with intellectual disabilities was defined as class preparation behavior, task performing behavior, and attention-focused behavior. Measurements of class-participating behavior used a multiple probe designs across behaviors and proceeded to the baseline, intervention, and maintenance. The results of this study are as follows. The grade-wide positive behavior support clearly improved the class participation behavior of two elementary school students with intellectual disabilities (as measured by class preparation behavior, task performance behavior, and attention-focused behavior). When each behavior was considered in terms of averages, trend lines, non-overlapping ratios, and immediacy, a positive effect was shown for all class participation behaviors and the average of class participation behavior increased as well. Positive effects were also observed in the maintenance phase. Based on these results, it can be concluded that grade-wide positive behavior support is an effective intervention for improving the class participation behavior of elementary school students with intellectual disabilities.
Information theory strategies to scape parasites

Presentation given at the Conference on Complex Systems from 30th September to 4th October in Nanyang Technological University, Singapore.
New Approaches to Search the Relations Between Distributed Data in Social Networks

This paper describes the author's algorithm for semantic search of related data in large text arrays, as well as the development of a program for its approbation. The algorithm has been tested in several commonly known social networks. The research technique is described, the analysis of the results is carried out, and the disadvantages found are indicated. Further directions of the algorithm development are suggested, as well as possible spheres of its application are described.
A Novel Technique for Web Pages Clustering Using LSA and K-Medoids Algorithm

The extensibility of various web documents available on the web made a critical challenge for many serious tasks such as information retrieval (IR), content monitoring, and indexing. Web documents could be any type of data that can be requested by user and delivered from web server through several web browsers. Most of web documents contain textual contents and are typically called web pages. However, in order to perceive and discover knowledge from these pages, novel techniques are required that have been never applied in other domains. In this paper, a new approach has been proposed by performed latent semantic analysis (LSA) on the result of VSM, which involves the correlation among web pages to their extracted features. The result of LSA involves the matrices that reflect the correlation between the web pages to their related concepts, which were used frequently for retrieving process. PAM (K-Medoids) algorithm was used with respect to semantic space, to portion the web pages into coherent groups. One of the most challenges in any clustering algorithm is to identify the correct number of clusters for the given data. Hence, two approaches are used for this manner: Elbow graph analysis to estimate the number of cluster range based on (SSE) values and clustering evaluation metrics. Calinski–Harabasz criterion (CH) and Silhouette Coefficient (SC) are the best well-known evaluation metrics commonly used in partitioning-based algorithms. UOT has been considered to evaluate the proposed system, and the results are shown in the proposed system to achieve high accuracy results to separate the similar pages into coherent groups.
Aggregating Dictionaries into the Language Portal Sõnaveeb: Issues With and Without Solutions

In this paper we present Sonaveeb, a new type of language portal of the Institute of the Estonian Language containing data from a growing number of dictionaries and termbases. Sonaveeb currently displays a total of 200,000 Estonian headwords, obtained from many databases, with many new types of lexicographic information: collocations, etymology, multi-word expressions, etc. The paper reports on problems encountered so far: the consistency of information and avoiding duplicates when unifying the dictionaries, turning dictionary-specific information into customizations of the central service, deciding on deliberate ambiguities, parsing data fields containing more than one data element, including textual condensation, moving from annotating form (e.g. italics) to annotating content (e.g. a citation), moving from (near) duplicates to sensible information fragments, deciding between an app and a responsive web page, and possible legal problems regarding the authorship of the new central resource, as it may become difficult to show who authored which part of the published resource. The development of Sonaveeb continues in the direction of both the tighter aggregation of existing datasets and the addition of new data from other dictionaries and termbases, as well as compiling new data in the new DWS Ekilex.
Improved ORB Algorithm Based on Binocular Vision

In digital image processing, feature extraction is a very important step, and ORB algorithm is the best one in real-time performance, but it is not up to the standard in the system with higher real-time requirements. Through binocular vision calibration, we will delve into how to speed up the operation of ORB algorithm with ensuring accuracy. First, the overlapping regions of the left and right images are extracted, and then the images are subjected to morphological operations, and corner detection is performed at the edges. Secondly, the original description method is improved, and the description sub-selects the window value based on the area ring, which is more in line with the characteristics of the human eye and improves the operation speed. Then, a hierarchical matching strategy is adopted, combined with binocular visual constraints, the matching range is defined, and the accuracy is effectively improved. Finally, construct an experimental platform to process two images and compare them with existing algorithms. The experimental results show that the proposed method has much less computational time consumption than the original algorithm under the condition of improved accuracy, and is suitable for fast matching environment.
Transformer-Based Coattention: Neural Architecture for Reading Comprehension

Machine reading comprehension (MRC) is one of the primary challenges in natural language understanding (NLU), its objective is to give the correct answer based on the questions asked from the specified context. Nowadays, attention mechanisms have been widely used in reading comprehension tasks. In this chapter, based on the analysis of two state-of-the-art attention mechanisms, Coattention and Multi-head Attention, the Transformer-based Coattention (TBC) is proposed. Furthermore, a general hybrid scheme is proposed to incorporate the TBC into pretrained MRC models with little extra training cost. Our experiments on Stanford Question Answering Dataset (SQuAD) and Discrete Reasoning Over the content of Paragraphs (DROP) show that our hybrid scheme make models achieve better performance.
Assessing EcoLexiCAT: Terminology Enhancement and Post-editing

EcoLexiCAT is a freely available online application, which integrates all features of the professional translation workflow in a stand-alone interface where a source text is interactively enriched with terminological information (i.e. definitions, translations, images, compound terms, corpus access, etc.) from different external resources. EcoLexiCAT is powered by MateCat and the external sources include EcoLexicon, BabelNet, the EcoLexicon English Corpus (powered by Sketch Engine) and IATE, as well as other common resources (e.g. Wordreference, Wikipedia, Linguee, etc.). Machine translation (MT) can also be optionally added. In order to evaluate the functionalities and performance of the tool, two experiments were carried out. In the first, one subject group used EcoLexiCAT and the other used MateCat, acting as the control group. In the second, both subject groups used EcoLexiCAT and only one used MT. Both experiments shed interesting light on user behaviour, performance and satisfaction while using EcoLexiCAT.
Developing a Digital Scholarship Research Ecosystem

This presentation is based on a longer paper presented at ICEIT (International Conference on Educational and Information Technology) St. Anne's College, Oxford University, February 12, 2020.
TSRS - A NEW APPROACH FOR TRAFFIC SIGN RECOGNITION USING THE SIFT ALGORITHM

This paper proposes a new approach for traffic sign recognition using images captured by a low-cost mapping system. The proposed approach applies the SIFT algorithm to extract keypoint features that are used to evaluate the correspondences between a road image containing one or more plates and the images of traffic signs (templates). The BBF algorithm was used to efficiently evaluate the correspondence between the SIFT features. Finally, we propose a new algorithm to filter only the pairs of keypoints (image-template) that are compatible as well as the orientation and positioning.
Intellectual Property Law and Post-Scarcity Society

Rapid technological progress has shifted discussion of the possibility of from science fiction novels and utopian manifestoes to the pages of our newspapers and now to our law reviews. Commentators imagine a world in which three-dimensional printing, advanced robotics, synthetic biology, and artificial intelligence will enable the low-cost at-home manufacture of nearly all commodities and provision of nearly all services. This lecture considers the implications of postscarcity society for law and specifically for intellectual property law. It focuses on the likely social role of intellectual property law in a post-scarcity society and on the ways in which intellectual property law will likely work to undermine the socially progressive promise of post-scarcity.
HEDONIC-MOTIVATION SYSTEM: PENGUKURAN INTENSI MAHASISWA DALAM PENGGUNAAN LEARNING MANAGEMENT SYSTEM

One part of the academic information system at Universal University is a learning management system (LMS) that is used to support learning activities, so this system must be designed to be able to provide convenience for students as the main users. There are intrinsic motivational behaviors that need to be identified as consideration of factors that might have an impact on students' perceptions in their intentions to use a system. The Hedonic-motivation system (HMS) theory emphasized that in order to increase one's intention to use information systems, then the pleasure factor needs to be included along with the usability factor and the ease of use factor. The four HMS variables used in the measurement are ease of use, usability, enjoyment, and intention to use. The measurement results will be obtained dominant influential factors that can be used as a basic guideline in designing system interactions in the form of conceptual designs for the development of LMS at Universal University.
Mastering of motion (action based) games for primary school pupils by using information and communication technologies

One of the treasures of human culture is a moving game. Their species, their diversity, is endless. Moving games have reflected and enriched all the material and spiritual creativity of the people.There are a lot of books and articles about movement games. In the theoretical and methodological classification, wrote and published in the former Soviet Union, the role, importance, and popularity of folk games, as well as the use and popularity of folk games and many others, were mentioned.
Levandegörandets poetik : På spaning efter musikdramat Gränsland och transformationen av dramat via text, vokalt och instrumentalt agerande

From the librettist’s perspective, the traditional working methods which tend to dominate in the creation of new music drama, often result in a situation where the initial intentions are lost along ...
Primary study on single index artificial neural networks based on penalized regression splines

In this paper, new single index artificial neural network models using penalized regression splines are proposed. The main difference with the standard artificial neural networks is that the output activation functions are not pre-specified in advance but are re-estimated adaptively during the training process by nonparametric smoothers (penalized regression splines in this study) using available data. The estimated activation functions may not necessarily the commonly used activation functions. Very often, the estimated output activation functions may be approximated by generalized hyperbolic tangent functions or simple low-order polynomials. In fact, the problem-tailored functions may be used as the actual output activation functions for usual neural network training and prediction if necessary. Specifically, estimators based on two types of penalized regression splines, e.g., penalized cubic regression splines and thin plate regression splines, are used in this stuydy to estimate the output activation functions. We will use the powerful particle swarm optimization to search for the optimal neural network connection weights. Real-world datasets will be used to compare the performances of the proposed models and the standard artificial neural network models.
Auto-ethnography on the Experience of Writing Dokdo and Unification Units in Elementary Social Studies Textbooks

본 연구의 목적은 초등 사회과 교과서의 독도 및 통일 교육과 관련된 집필 과정을 성찰하고 자문화기술지로 서술하여 연구자가 경험한 의미를 해석함으로써 교과서 집필과 관련된 시사점을 도출하는 것이다. 연구자인 나는 2015 개정 교육과정에 따른 초등 국정 사회과 교과서의 독도 및 통일 교육 관련 주제를 약 3년 동안 집필하면서 다음과 같은 재맥락화를 경험하였다. 첫째, 교과서 집필 방향을 설정하면서 교화보다는 비판적 사고에 근거한 민주주의적 애국심을 추구하고, 두 주제를 무리하게 연결하여 발생할 수 있는 오류를 피하고자 했다. 둘째, 교과서 텍스트를 구성하면서 사회적 논란을 피하고자 공신력 있는 기관에 의지하여 자료를 수집하였고, 독도 및 통일 교육과 관련된 터부된 선을 넘지 않기 위해 자율성을 줄이고 자기 검열을 강화하였다. 셋째, 교과서 활동을 구성하면서 교육과정의 취지를 반영한 활동을 삽입하되, 학생의 특성과 수준을 고려한 활동을 추가함으로써 학습 능동성을 확보하고자 했다. 본 연구 결과는 독도 및 통일 교육과 관련된 초등 사회과 교과서 집필 경험을 다룸으로써 글로벌 관점을 지향하며 동시에 국가·사회적 요구가 반영된 교과서 구성에 대한 새로운 통찰을 제공할 수 있을 것이다.The purpose of this study is to examine the writing process related to Dokdo and unification education of elementary social studies textbooks and to describe the meaning of the re-contextualising experienced by the authors with describing them thorough auto-ethnography. As a researcher, I have been writing the subjects related to Dokdo and Unification Education in the elementary national social studies textbooks for the past three years according to the 2015 revised curriculum. First, while setting the direction for writing textbooks, I pursued democratic patriotism based on critical thinking rather than edification, and tried to avoid errors that could arise by connecting the two themes forcibly. Second, while constructing textbook texts, they relied on credible institutions to avoid social controversy. I also reduced autonomy and strengthened self-censorship in order to avoid breaking the taboos related to Dokdo and unification education. Third, while constructing textbook activities, I inserted activities that reflect the purpose of the curriculum, and added activities that take into account the characteristics and levels of students to secure the activity of learning. The results of this study will be able to provide a new perspective on the construction of textbooks with a global perspective and national and social needs by addressing the experience of writing social studies textbooks related to Dokdo and Unification Education.