Reviewerly/exHarmony huggingface dataset:
ANALYSIS OF CYBER SECURITY MANAGEMENT CONCEPTS FOR DISTRIBUTED IT INFRASTRUCTURES

The paper summarizes the current issues of security management of organi-zationally complex systems. Massive introduction of cloud technologies, the In-ternet of things (IoT), intelligent data processing systems, block chain technolo-gies is not only a fashionable trend, but also dictates the conditions for the deve- lopment of the information and communication systems industry.&nbsp; Organization, definition and classification of safety and cybersecurity ma- nagement concepts in organizationally complex systems are disclosed in the work of researchers in various industries: aviation, economic, information (cybersecu-rity), administrative, environmental and the like. The article summarizes basic principles of conceptual approaches to safety and cybersecurity management in scientific works and regulatory documents for various spheres of human life.The purpose of this article is to summarize basic principles for presenting conceptual approaches to managing the cybersecurity of IT-systems and infra-structures in scientific and regulatory documents. To solve the problem, it is ne- cessary to consider the concepts of security management in various spheres of human life, to determine the concept and components of cybersecurity for IT-systems and infrastructures, to consider the basic principles for various concep-tual approaches to security management.Attention is paid both to the components of IT-systems security (functional-, informational-, cybersecurity), and the qualities of complex systems that include security (dependability, functional reliability). Among the main provisions of se-curity management concepts, an important place is given to security policy, both the general and the whole (often as security strategies), and the separation of po- licies into global and local.A comparative list of principles for various concepts of managing IT-systems and infrastructures security is given. The security management concepts of distributed IT-systems are analyzed on the example of critical infrastructures, information and telecommunication systems, industrial automation systems, cy-berphysical systems and continuous business systems. It is determined that vari-ous concepts can use general principles, such as risk management, improvement/adaptation of the security management system. &nbsp
Hiding Any Data File Format into Wave Cover

In the current study a steganography approach utilized to hide various data file format in wave files cover. Lest significant bit insertion (LSB) used to embedding a regular computer files (such as graphic, execution file (exe), sound, text, hyper text markup language (HTML) …etc) in a wave file with 2-bits hiding rates. The test results achieved good performance to hide any data file in wave file.
Implementation of the K-Nearest Neighbor Method to determine the Classification of the Study Program Operational Budget in Higher Education

Sultan Agung Islamic University annually designs operational costs for work programs in the study program and of course determines the amount of financial budget for the study program work program. K-Nearest Neighbor algorithm is needed to determine the required operational budget classification based on the number of active students, the number of financial admissions, the number of employees and the percentage of work program realization programs. The results of this study are to facilitate the leadership of higher education in the budget field to classify the amount of the budget required by study programs in the classification of up, or fixed. The purpose of this study is expected to facilitate the leadership of the financial budget department to classify the budget needed by the study program and as an awareness system in the work program of the study program with a classification value of 79.96% for the operational budget of the college study program.
Constrained Consistency Modeling for Attributed Network Embedding

Network embedding has emerged as a fundamental approach to network analysis tasks. Its main purpose is to learn a suitable mapping function to convert nodes in networks into a low-dimensional representations. The majority of existing studies concentrate solely on network topology structure. However, nodes are commonly associated with sufficient attribute information in real-world networks. Therefore, network embedding combining network topology structure and attribute information could be promisingly beneficial. Given this, we propose a novel attributed network embedding method called Consistency Constrained Attributed Network Embedding (CCANE), which preserves more complete information for nodes when learning the embedding representations. On the basis of the consistency of topology structure and node attributes, the CCANE is capable of learning the structure embeddings and attribute embeddings of nodes simultaneously, and then concatenate them to obtain the integrated vector representations. Moreover, the CCANE is scalable of dealing with large-scale of networks by decomposing the complicated optimization process into multiple sub-tasks in parallel. Experimental results testify the feasibility and superiority of the CCANE compared to the state-of-the-arts.
Subaperture stitching testing of a half meter-class convex cylindrical surface with R/3

High-precision cylindrical surfaces are widely utilized in X ray telescope systems, laser systems, synchrotron radiation systems, etc. These systems put forward strict requirements on surface figure errors of cylindrical surfaces. As a supporting technique for fabrication, interferometric null test method for measuring cylindrical surfaces usually requires a Computer Generated-Hologram (CGH) as null. However, Limited by the aperture and F/number of CGHs for cylinders, large convex cylindrical surfaces with small R/number (ratio of the radius of curvature to the aperture) cannot be tested in a single measurement.Subaperture stitching along both axial direction and sagittal direction is required to acquire the full aperture surface figure map. a convex cylindrical mirror with R/3 and 350mm aperture was tested adopting our subaperture stitching test system for cylindrical surfaces. The key challenges are presented here including, subaperture stitching platform, subaperture algorithm, subaperture lattice, and the system alignment.
The Knowledge Body of Requirement Engineering in IST Innovations: An Ontological Analysis

Requirement Engineering is considered a key factor for Information Systems and Technology (IST) success in innovation. After roughly 40 years, important questions about the impact of RE in innovations remains. Literature review and bibliometric reports are well-known techniques for describing the state of the art; however, both can cover what has been done, but fail to identify the less developed areas. An alternative method is used to describe the whole knowledge body of RE (KBoRE) for IST innovations, and then systematically identify the most, less and uncovered areas. This paper proposes an Ontological framework of the KBoRE for IST innovations, by decomposing it through the identification of taxonomies and concepts that represent the field. Then, we apply the ontology to map articles from SCOPUS and WoS databases. Results reveal emphases that help to design research agendas and feed the KBoRE for IST Innovations to fill the gaps between the academic curiosity and the industry progress.
BROWSERLESS WEB AUTOMATION FOR BLIND USERS

Navigating and performing different tasks on the Web can be frustrating for blind users.This is related to different aspects including a linear nature of navigation through the content, the issues of contemporary web pages not following accessibility guidelines, and limitations of assistive technologies trying to keep pace with a constantly changing web stack of technologies.Web automation tools help users to automate tasks and ease the navigation to a desired content.However, most of existing approaches are based on the web browser and, therefore, have some requirements on the hardware and software used, its performance.Furthermore, they have to take into account complex sequences of DOM events which reflect different changes and states on a web page, such as completion of the content loading or reaction on user actions.These non-trivial conglomerates of events often considerably reduce the robustness of web automation.In this paper we introduce a new approach, FastWrap4A, which can analyse user interactions and transpose the automation from the UI level directly to the level of data-focused interactions with web servers.This approach does not require a browser or an integrated web page rendering engine and can be executed on different devices.
FOG fiber coil reliability assessment based on Bayesian estimation method

The fiber optic gyroscope has become to one of the most important sensors in developing due to light in quality, high accuracy, compact in dimension and long life<sup>[1-4]</sup>． These features have developed new applications of the gyroscope not only in conventional aerospace application area but also in industrial application area, such as control and navigations of unmanned vehicles, antenna/camera stabilizers, and so on. More and more FOGs have been applied in all kinds of satellites for attitude control. With the great technology progress on fiber optic gyroscopes in recent years, the reliability of fiber optic gyroscopes has been focused on. The fiber coil, as one of the most critical components in fiber optic gyroscope，its reliability directly determines the reliability of the fiber optic gyro. This paper uses the Bayesian estimation method to study the reliability of the fiber coil. Aiming fiber optic gyroscope fiber coil Failure Data Reliability analysis of the problem, on the basis of analyzing the failure mode, select Weibull distribution as its life mode, the estimated time of each detection without failure data using Bayesian theory failure rate, and thus the estimated model parameters fiber coil reliability. The Bayesian estimation method combined with experience information greatly reduces the number of test samples, and to overcome the shortcomings of the traditional reliability evaluation method relies on failure data, has a high value in engineering applications. This estimation method shows its significance in saving test costs and time.
Using convolutional neural network for matching cost computation in stereo matching

Stereo matching is one of the most important computer vision tasks. Several methods can be used to compute a matching cost of two pictures. This paper proposes a method that uses convolutional neural networks to compute the matching cost. The network architecture is described as well as teaching process. The matching cost metric based on the result of neural network is applied to base method which uses support points grid (ELAS). The proposed method was tested on Middlebury benchmark images and showed an accuracy improvement compared to the base method.
MANAGING INTEGRATION OF DIGITAL TECHNOLOGIES IN SCHOOLS - PRINCIPAL ROLE AND COMPETENCES

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 10322-10330ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.2526Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
A WEEKLY GAME QUIZZES HELP STUDENTS’ PERFORMANCE IN CHEMISTRY LEARNING

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 5988-5992ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.1452Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
PENGEMBANGAN MEDIA PEMBELAJARAN DASAR DESAIN GRAFIS BERBASIS MOODLE DI SMK NEGERI 1 SRAGEN

Along with the development of information technology, the development of information and communication technology provides many offers in the learning process, one of which is e-learning. E-Learning is an approved one which is assimilated in the Educational Environment. In the development of education, there are three popular types of e-learning namely edmodo, schoology and moodle. Moodle is open source software with various learning support facilities that are accommodated in one e-learning portal that can be developed in accordance with the world of education. The research objectives achieved were: 1) Describe the initial state of learning basic graphic design in SMK Negeri 1 Sragen, 2) Develop a basic learning media for moodle-based graphic design, 3) Describe the feasibility of developing a basic learning media for moodle-based graphic design? 4) Describe the development of moodle-based graphic design learning media? The research used is research and development (R&D). The development model used is Hannafin and Peck's model, with the following arrangements: needs analysis, design, development and implementation. This Development Model has been tested, where each test is carried out pretest and posttest. The effectiveness of the development of basic learning media for moodle-based graphic design in SMK Negeri 1 Sragen can increase the average value in examinations in class X TKJ 1 and in class X TKJ 2. This refers to Moodle learning media which is proven to be suitable for use.
MEMAHAMI TEORI DIFUSI INOVASI: SOSIALISASI INOVASI PEMANFAATAN LIMBAH HASIL LAUT MELALUI KEGIATAN PENGABDIAN MASYARAKAT

Community service activities are one of the pillars of the Tridharma Perguruan Tinggi as well as lecturers' duties. This activity was carried out among others by means of training and counseling to related communities. However, deadlock often occurs in the process. This raises the need to understand strategies in delivering messages so that service activities can achieve the goals set. In the Bakrie University community partnership program (PkM) in making chitin and laboratory scale chitosan from small crab shells, the process and results of these activities are examined and analyzed using theories in the field of Communication science, specifically the Theory of Diffusion of Innovations. The diffusion theory of innovation is a theory that seeks to explain how new ideas develop and are adopted by the community. The results of this study are expected to be a recommendation and reflection for other PkM program implementers to understand more effective and efficient strategies
Learning optimal classification trees using a binary linear program formulation (extended abstract)

We provide a new formulation for the problem of learning the optimal classification tree of a given depth as a binary linear program. A limitation of previously proposed Mathematical Optimization formulations is that they create constraints and variables for every row in the training data. As a result, the running time of the existing Integer Linear programming (ILP) formulations increases dramatically with the size of data. In our new binary formulation, we aim to circumvent this problem by making the formulation size largely independent from the training data size. We show experimentally that our formulation achieves better performance than existing formulations on both small and large problem instances within shorter running time.
Detection and selection of anomalous observations in acoustic sounding of wind velocity

Statistical analysis of minisodar measurements of vertical profiles of the first four moments of wind velocity components in the 5–200 meter atmospheric layer shows that this problem belongs to a class of robust nonparametric problems of mathematical statistics. In the report, a new consecutive nonparametric pendular truncation algorithm is suggested for processing of minisodar measurements of wind velocity components to detect and to select anomalous observations in a data sample. The first four moments of wind velocity components are given, and their comparison with the moments obtained using standard methods of minisodar data processing is performed.
Identity-Based Threat Response

No one wants to respond to a security incident or a breach. There is never a good time for a breach. Instead, the highest priority should always be to stop a cyberthreat before it compromises the organization.
IMPLEMENTATION OF A WEB-BASED AUDIENCE RESPONSE SYSTEM AS MICROSERVICE APPLICATION VS. MONOLITHIC APPLICATION

Microservice architectures became very popular in the last years.These small services can be developed, tested and deployed more easily than a single complex monolith.Another aspect which favors microservice architectures is their vast horizontal scalability under high load.But it is often overlooked if their performance is really superior compared to monolithic applications.We investigated test strategies on microservices and defined performance metrics in order to compare the performance of a web-based test application implemented as a monolith as well as a microservices re-implementation.The goal is to decide whether the effort was worth to re-implement our audience response system as microservices or not.
CLASSIFICATION OF STUDENTS BY SUCCESS PREDICTORS IN THE SPOC PROGRAMMING COURSE

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 4617-4625ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.1143Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
Mini-Workshop: Algebraic, Geometric, and Combinatorial Methods in Frame Theory

Frames are collections of vectors in a Hilbert space which have reconstruction properties similar to orthonormal bases and applications in areas such as signal and image processing, quantum information theory, quantization, compressed sensing, and phase retrieval. Further desirable properties of frames for robustness in these applications coincide with structures that have appeared independently in other areas of mathematics, such as special matroids, Gel’fand–Zetlin polytopes, and combinatorial designs. Within the past few years, the desire to understand these structures has led to many new fruitful interactions between frame theory and fields in pure mathematics, such as algebraic and symplectic geometry, discrete geometry, algebraic combinatorics, combinatorial design theory, and algebraic number theory. These connections have led to the solutions of several open problems and are ripe for further exploration. The central goal of our mini-workshop was to attack open problems that were amenable to an interdisciplinary approach combining certain subfields of frame theory, geometry, and combinatorics.
빅데이터 시대 개인정보로서의 IP 주소의 지위 - IP 주소 관련 국내외 개인정보보호법제의 입법동향 및 우리나라의 입법개선을 위한 소고 -

Facing the Fourth Industrial Revolution, data are considered one of the main means of driving digital economic growth in the future. Personal information, which was previously only recognized as a subject of protection, is now receiving attention as an important means of achieving economic benefits along with the use of big data. In order to develop the use and protection of personal information harmoniously, there is a growing need to establish various systems to support it. In particular, the transition from the IPv4 to IPv6 has been made worldwide, and the importance of IP addresses that can be a link to various digital information in the Age of Big data has become even greater, regardless they are static or dynamic IP address. In this article, we discussed IP addresses, a kind of digital personal information, and reviewed the current Personal Information Protection Act and Act on Promotion of Information and Communication Network Utilization and Information Protection, ETC., along with domestic and foreign discussions on whether or not IP addresses are recognized personal information. To ensure a harmonious development of the utilization and protection of digital personal information, it is necessary that the Personal Information Protection Act specifies that the IP address is personal information. If information users recognize that the IP address is personal information before collecting and using it, and perform the legal agreement procedure accordingly, it will be ensured that the unidentified IP address can be used freely within the legal framework. In addition, the individual will be able to relieve the fear that the safeguards specified in the law may cause the leakage and abuse of personal information, IP addresses. Clearly defining legal boundaries harmonizes the rights of data users to run business and the rights of data providers to keep privacy is expected to enable the growth of the digital industry.
INFLUENCE OF THE EDUCATIONAL ACTIVITIES IN THE PERCEPTION OF CREATIVITY IN ENGINEERING STUDENTS

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 6519-6524ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.1564Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
PROJECT TRAINING OF SPECIALISTS IN THE SPHERE OF PROVIDING SOCIAL SERVICES: ACTUALITY AND MECHANISMS OF SOLUTION

PROJECT TRAINING OF SPECIALISTS IN THE SPHERE OF PROVIDING SOCIAL SERVICES: ACTUALITY AND MECHANISMS OF SOLUTION
Superficie didáctica para niños en etapa escolar que apoya la planeación, brindando herramientas de organización y motivación, en pro de la autonomía de menores de 8 a 10 años - VIVENOMÍA

School assignments have seen how chaos between parents and children when there is no level of autonomy, responsibility and motivation on the part of the child, in addition to the need for dedication and communication between parents and children to generate good results, in addition to this, The low academic performance is born as a result of the lack of attention, planning and organization, therefore, this project describes and gives solution from the industrial design, for children who are in school, acquire tools thus achieving good Study habits.