Reviewerly/exHarmony huggingface dataset:
Practice and Analysis of Knowledge Construction using a Domain Ontology and Procedural Knowledge

This paper describes the practice of knowledge construction using a domain ontology and procedural knowledge in guitar performance. Domain ontologies are created to understand and reason the domain knowledge. However, most of them are difficult to understand ontological logic and languages for domain experts. It is important to consider the different types of knowledge representation to connect ontology experts and domain experts. In this study, we verified the effect of the knowledge construction of a domain using a domain ontology and procedural knowledge. We focused on musical instrument performance and used the knowledge of classical guitar which requires many techniques. We practiced the following processes: (1)Constructed procedural knowledge described actions of each guitar rendition in detail, (2)Developed the Guitar Rendition Ontology based on the procedural knowledge, and (3)Reconstructed the procedural knowledge with seeing the ontology by domain experts, and carried out questionnaires to them. As a result, the knowledge was increased and modified appropriately, and we received positive answers about the usefulness of the method. Constructing the domain knowledge using the two types of knowledge representation enables following aspects: (1) Domain experts can construct procedural knowledge intuitively by defining description contents and format, (2) Ontology experts can efficiently construct a domain ontology based on the procedural knowledge and (3) Domain experts can re-construct procedural knowledge with higher consistency and knowledge processing by using domain ontology together.
An Investigation of Heterogeneity and Overlap in Semantic Roles

An inventory of semantic roles is needed in semantic role labelling. However, no matter what are semantic roles defined as, there is always heterogeneity and overlap in semantic roles. The semantic properties of members in the same semantic role can be different, while those of members in different semantic roles can be similar. It is a widespread phenomenon in semantic role types. The paper analyzes the cause of heterogeneity and overlap, and points out the close connection between them. The severity of heterogeneity and overlap described in the article is assessed using data from the survey of Chinese PropBank, a publicly available semantic resource consisting of two parts: the Frameset and the corpus.
An Analysis of the Knowledge Structure of “Instruction System Design” Course based on Social Networks

The knowledge structure of a curriculum is the composition and connections of the course knowledge system, and it is the basis for teachers to implement education and teaching activities. This paper uses social networks to analyze the knowledge structure of the syllabus of the “Instruction System Design” course. The syllabus of the “Instruction System Design” course is used as the data source to determine the course knowledge points and knowledge relationships, which are then used for constructing the “Instruction System Design” course knowledge network. The overall and individual attributes of the course knowledge network are analyzed, then the logicality and relevance among the course knowledge points of the course are obtained. Finally, in this paper, we propose a new method and a new perspective for analyzing the course knowledge structure.
About Formation of Professional Competences of Future Technicians-Programmers in the Course of Training in Programming

In the article describes the experience of formation of professional competences of future technicians-programmers in teaching programming.
Attribute-Based Elliptic Curve Encryption for Security in Sensor Cloud

Security is one of the major challenges in the field of sensor cloud. There is a need to implement security over sensor cloud using a technique which involves fine-grained access in virtualized wireless sensor networks. The existing security model to secure the data transmission and stored data at the sensor-cloud environment uses different encryption techniques, but its effectiveness, efficiency, and performance can be further increased. Earlier approaches provided fine-grained access such as Ciphertext-Policy Attribute-Based Encryption (CP-ABE) which involves some complex computations. In this paper, we proposed a security model based on Elliptic Curve Encryption (ECC) and attributes to ensure the overall security of sensor data that guarantees the confidentiality and integrity. It also provides a fine-grained access control. The proposed approach reduces the overall computational overhead as compared to other existing approaches.
관광특구 활성화를 위한 내수면 관광자원화 전략 -가치프레임 분석을 중심으로-

In terms of coastal and marine tourism, Busan’s Haeundae had the nation’s representativeness, and is pushing for many kinds of related policies to revitalize the special tourism zone. Due to a drop in the number of beach users, it is inevitable for the Haeundae Special Tourist Zone to face active responses to new trends emerging in the global tourism market. Therefore, the purpose of this study is to present a tourism strategy for making the Suyeong River as a more competitive ourist resource along the zone. First, a language network analysis is conducted through interviews to understand the ideas of interest groups for the river cruise activation project. Second, the frame structure of stakeholders is used to analyze solutions by comparing the similarities and differences in recognition frames of interest groups. Third, we intend to analyze the detailed frame types of stakeholders and present new alternatives based on the structure of relationships between types.
Understanding the Relationship of Crypto currency Price Change and Media Influence: Bitcoin Case Analysis

The purpose of this study is to understand the relationship between media and cryptocurrency price change. As an application example to prove this, bitcoin which is one of cryptocurrency is analyzed. On the analysis of Korea portal news from 2013 to 2017, it can be seen that there is a positive correlation between the number of Bitcoin times was mentioned in the news and the Bitcoin price change. This shows that the Bitcoin price change is closely affected to the information provided by the media. Also, during this period, the public perception of Bitcoin in Korea showed an improving trend of the Bitcoin as the number of positive reference to the affirmative increased, rather than negative. This study confirms the objective evidence that media and public perception provide a direct influence on cryptocurrency price change. The limitation of this study is that only the media information provided by the Naver (Korea portal) is used. And it is discussed only in terms of the effect of media and the change of public perception among various factors of cryptocurrency price fluctuation. Therefore, future research is needed to analyze various factors of cryptocurrency price fluctuation.
A Chaos-based Image Cryptosystem Using Nonstationary Dynamics of Logistic Map

In this paper, a novel chaos-based image cryptosystem is proposed using the method of dynamics perturbation to the Logistic map. The perturbation is carried out by changing the value of its control parameter in bit level after every iteration during encryption and decryption. Consequently, the dynamics of Logistic map becomes non-stationary, and it helps to resist the statistical attacks. Moreover, the key space is expanded significantly. The bit distribution balancing is proposed to have better statistical properties of ciphertext. The example will show the effectiveness of the proposed cryptosystem and the simulation results are compared with those in other works published recently.
Calculations of Zadeh's Extension of Piecewise Linear Functions.

Zadeh’s extension principle is one of the most classical techniques in fuzzy set theory. It is a tool which, for example, can naturally extend a real-valued continuous map to a map having fuzzy sets as its arguments. Theoretically, it is a nice mathematical tool used in many theories, e.g. in studies on fuzzy dynamical systems. However, concrete calculations or even approximations can be very difficult in general and, consequently, many approaches trying to solve this problem appeared. In this work we present a novel algorithm which can compute Zadeh’s extension of given continuous piecewise linear functions. Among other things, an advantage of this approach is that, unlike almost all former approaches, it can deal with discontinuities which naturally appear in simulations of fuzzy dynamical systems.
Development of Line-of-sight System without Calibration

Patients of neural intractable diseases should be able to communicate easily. However, patients could not continue to gaze at one point, and it’s difficult for them to use the devices which cause users to calibrate. In this study, we developed a line-of-sight input system without calibration and contact. This system needs no calibration and could respond to the users’ posture misregistrations, owing to installing the two infrared LEDs in the both ends of the monitor and the two USB cameras in the lower of the monitor. The line-of-sight direction could be estimated by the relative position between pupils and corneal surface images detected by corneal light reflex method.
Class Focused Approach to Research Outputs and Policy Literature Metadata

Successful research object sharing requires that systems and users understand the structure, semantics and rules that govern a given research object collection.&#x0D; A number of metadata standards define ontologies and vocabularies for consistent expression of research object semantics. Supporting, clarifying and sometimes extending these standards are metadata application profiles (MAPs). MAPs play a key role defining metadata element cardinality and data types. MAPs may also mandate or recommend controlled vocabularies, where metadata standards have not already mentioned these in formal range declarations, encoding schemes and semantics that are to be consumed by external systems. MAPs also guide design options for in-house systems and workflows. In this paper, development of a draft MAP for grey-literature policy and research collections is discussed. A focus of the discussion is the considerations around selection and adoption of metadata standards given the research data and literature communities in the APO stakeholder map.&#x0D; This paper presents a work-in-progress version of a Dublin Core Application Profile (DCAP) candidate. The Analysis &amp; Policy Observatory Metadata Application Profile (APO-MAP) takes research object class structure as a starting point and considers class model options, especially given the availability of registry services and Persistent Indenter (PID) systems. The discussion finds that MAP development progresses towards a best fit that balances the need to adopt widely supported standards, local business drivers, and community acceptance.
A Novel MapReduce Framework for Improving Security of Cloud Computing

Cloud computing is becoming a powerful parallel data processing method and it can be adopted by many network service providers to build a service framework. Though the cloud computing is able to efficiently process a huge amount of data, it is easy to be attacked due to the massive distributed cluster nodes. In this paper, we propose a novel Secured MapReduce Framework (SMRF), which establishes a close relation between the Speculative Execution (SE) and the security of the YARN. SMRF launches the speculative executions in a certain ratio, computes and compares their respective MD5 hashes of the intermediate and final results in the MapReduce process. Moreover, the proposed framework is able to discover the actual and potential malicious nodes in the Hadoop cluster. In addition, a prototype framework, called SecMR, is implemented based on Hadoop 2.3.0. The theoretical derivations and experiments show that the proposed SecMR not only guarantees the security of the MapReduce process, but also successfully locates two types of the malicious nodes in Hadoop while just increasing a little overhead.
EFFICIENCY OF FUNCTIONING OF VIRTUAL SERVICES OF SCIENTIFIC LIBRARY OF HIGHER EDUCATION ESTABLISMENTS: SYSTEM APPROACH AND EXPERIENCE OF USE

In the last decades, electronic media and electronic services have been added to the traditional library’s physical collections and services.Thisinvolves newrequirements as to equipment, technology and especially as to staff skills, and demands changes in processes and organization.Thus this work purpose is observation of electron resources and virtual services of science library of Kharkiv national university of radio electronics.Here we considerthe experience of creating, implementing and efficiently functioning electronic resources and virtual services of science library of Kharkiv national university of radio electronics: web site to implement various services, an electronic catalogue as a powerful information resource, virtual reader card, reference service, distance record project.The process of the university departments interaction to create the full-textdatabase of methodological resources of library of an institution of higher education and providing access to their by the library’s website was described.The reference service for library customs was operated in science library of Kharkiv national university of radio electronics.The electronic services project development were created distance self-recording and reader’s virtual card. These services allowed of the library readers first to get rid of paper documents, and, secondly, to start communication with library staff in the virtual space. Unfortunately the and reader’s virtual card was used in science library of Kharkiv national university of radio electronics.Quantity and quality factors of librarian virtual services are given.It was researched the availability of virtual services in the leading libraries of an institution of higher education.Thus virtual services complement and extend the capabilities of information services at a higher technological level and corresponds to modern trends in library service.
Penerapan Multivariate Adaptive Regression Spline (MARS) Pada Kasus Indeks Pembangunan Manusia di Kawasan Timur Indonesia

Human Development Index (HDI) is an important indicator to measure success in effort to build the quality of human life. Multivariate Adaptive Regression Spline (MARS) is a regression approach developed from the Recursive Partitioning Regression (RPR) method and combined with the spline method to produce a model that is continuous on knots. MARS modeling is determined based on trial and error for a combination of basis function (BF), maximum interaction (MI), and minimum observation (MO) to get the value of minimum smoothing parameter. Automatic determination of knots on MARS uses a forward stepwise and backward stepwise algorithm based on minimum Generalized Cross Validation (GCV) values. The results of this study, obtained a combination value of BF = 52, MI = 3, and MO = 2 with a minimum GCV of 0,00049 then the best MARS model is as follows.Y = –1,045 + 0,446*BF1 – 0,592*BF2 + 0,234*BF3 – 0,352*BF4 + 0,218*BF5 – 0,254*BF6 + 0,338*BF7 – 0,304*BF8 – 3,974*BF9 + 0,097*BF13 – 1,267*BF15 – 41,784*BF16 – 1,845*BF18 – 0,519*BF19 – 0,046*BF21 + 1,275*BF23 – 0,006*BF24 – 0,110*BF25 + 0,021*BF26 + 0,153*BF27 + 14,607*BF28 – 9,276*BF30 – 5,335*BF32 – 0,053*BF34 – 0,219*BF35 – 0,111*BF36 + 0,033*BF37 – 0,238*BF38 + 0,037*BF39 – 0,017*BF41 – 0,039*BF42 – 0,632*BF43 + 0,096*BF45 – 0,147*BF46 + 0,070*BF48 + 0,339*BF49 + 0,017*BF50. The factors that influence HDI based on the level of importance in the best MARS model are per capita expenditure (X9), life expectancy (X7), long school expectations (X8), average school length (X6), poverty severity index (X4), percentage of poor people (X5), percentage of per capita expenditure for food (X12), population density per km2 (X1), and percentage of poor people aged 15 years and over do not work (X11).
The influence of image masks definition on segmentation results of histopathological images using convolutional neural network

In the era of collecting large amounts of tissue materials, assisting the work of histopathologists with various electronic and information IT tools is an undeniable fact. The traditional interaction between a human pathologist and the glass slide is changing to interaction between an AI pathologist with a whole slide images. One of the important tasks is the segmentation of objects (e.g. cells) in such images. In this study, we apply U-net and V-net convolutional neural network models to perform image segmentation. In particular, we analyze the role of the contour thickness in the reference (labels, masks) images on the results of image segmentation, also for the degraded images. We show the role of the proper mask definition and the results obtained for the ensemble models that use the same architecture but are trained using two sets of inverted masks.
Realities and challenges of bullying: a contextualized study in two basic education schools in the Province of Guayas

Bullying is a phenomenon that is gaining more and more strength in schools. It is a reality that is expressed worldwide, with Latin America having the highest incidence rate. In Ecuador, at the end of 2018, the figures exceed 1400 cases of bullying studied, which is considered alarming, due to the physical, psychological, and social repercussions that this implies. This article is the result of an investigation that aims to explore this phenomenon in two educational units of the Guayaquil Canton, which constitutes a modest contribution of Social Sciences, in general, and of Psychology in particular, to raising awareness with this problem to reduce and eradicate it. It constitutes an exploratory study, with 89 students of Basic Cycle, whose ages are between 7 and 9 years, and the abbreviated Scale of the CIE-A School Bullying Questionnaire, the Participant Observation, and the Semi-structured Individual Interview with nine teachers of said educational establishments. The results showed the presence of situations of bullying, especially in boys, whose most obvious manifestations are blackmail, mockery, derogatory nicknames, and pressure from a position of power. Symptoms such as anxiety, fear, sweating, and damage to self-esteem are expressed. Teachers recognize these manifestations but feel that they lack pedagogical resources and legal tools to combat them.
Rational e-voting based on network evolution in the cloud

Physically distributed voters can vote online through an electronic voting (e-voting) system. It can outsource the counting work to the cloud when the system is overloaded. However, this kind of outsourcing may lead to some security problems such as anonymity, privacy and fairness, etc. Suppose servers in the cloud have no incentives to deviate from the e-voting system, these security problems can be effectively solved. In this paper, we assume that servers in cloud are rational, and try to maximise their utilities. We look for incentives for rational servers not to deviate from the e-voting system. Here no deviation means rational servers prefer to cooperate in the e-voting system. Simulation results of our evolution model show that the cooperation level is high after certain rounds. Finally, we put forward a rational e-voting protocol based on the above results and prove that the system is secure under proper assumptions.
A Survey of Digital Video Watermarking Schemes

Digital watermarking is a technique or act of hiding a secret information (text, signature, logo, audio, image etc.) in the form of a watermark into a digital multimedia such as text, image, audio and video. There are two classes of watermark; visible and invisible. Visible watermark is viewable by the human eye or detectable by human ear while invisible watermark is only detectable with special software, it cannot be seen by human eye or inaudible and it is more robust than the visible watermark Digital video watermarking is a recent technology and has become an area of concern because most reported copyright violation and distribution transpires in video media content. However, researchers have come up with several techniques in trying to tackle these challenges. A review of the prevailing digital video watermarking techniques is presented in this paper.
Redesign democratic debates

many scholars have stressed throughout history, healthy public debates are key to the revitalisation of democracy. There is currently a genuine cry to steer away from polarized debates and to work towards consensus. Over time philosophers such as Aristotle (384-322 BC), Arendt (1958), and Mouffe (2000, 2005), have convincingly argued that struggle, torment and dispute are an essential part of a healthy democracy, and that there is a need to design rules to enable these conflicts to be retained. How could design offer us the means, tools and spaces to better articulate differences, and to tackle current polarized debates? We will first sketch how public debates have evolved over time, mapping out the rules that were designed to prevent conflicts from getting out of hand. After that we will investigate a case study and based on the insights generated, try to demonstrate how design could offer us meaningful tools for constructive debates.
String Transformation Based Morphology Learning

There are several morphological methods that can solve the morphological rule induction problem. For different languages this task represents different difficulty levels. In this paper we propose a novel method that can learn prefix, infix and suffix transformations as well. The test language is Hungarian, and we chose a previously generated word pair set of accusative case for evaluating the method, comparing its training time, memory requirements, average inflection time and correctness ratio with some of the most popular models like dictionaries, finite state transducers, the tree of aligned suffix rules and a lattice based method. We also provide multiple training and searching strategies, introducing parallelism and the concept of prefix trees to optimize the number of rules that need to be processed for each input word. This newly created novel method can be applied not only for morphology, but also for any problems in the field of bioinformatics and data mining that can benefit from string transformations learning.
Alien Sound: Ambient Music and the Limits of the Human

Explore new and creative developments in ambient music and sound art. Artists and theorists will open up new possibilities for thinking and practising a different relationship to noise and music. Join in with talks, interviews and discussions.The symposium will investigate constructive ways of understanding and producing this disturbing ambience. It will ask: how can we hear ambience differently? How can it make us strange to ourselves again? How can this ‘alien sound’ generate alternative ways of experiencing space, time and world?Guest Artists include Marie Thompson, Paul Reket, Dhanveer Singh Brar, Larne Abse Gogarty, Steve Davismoon, Rachael Rosen, Jon Davies, Annalaura Alifuoco, Silvia Battista and Will Scrimshaw.Programmed in partnership with Liverpool Hope University, Departments of Drama and Philosophy.
Performance Analysis of Booth Multiplier-Based FIR in DWT Image Processing Applications

The main objective of this work is to suggest an FIR filter for convolution-based DWT in image processing. Image processing using filters mainly suffers from the delay caused by the multiplier unit. Herewith, we have proposed booth multiplier-based MAC architecture for the design of FIR filter. Hence, the overall system achieves maximum speed improvement of 13.83% and area reduction by 22.39%. This work assures that the performance improved VLSI architecture for image processing with DWT techniques.