Reviewerly/exHarmony huggingface dataset:
Conceptual Framework: Rapid Web Application Development by Using Component Reuse and Case Based Reasoning

Developing web application from scratch is a cumbersome task.There is a need for a fast and efficient methodology to develop web-based application to realize user's requirement.User's requirement and expectation have increased because of the complexity of business process.This paper introduces a new method which allows web developer to build application faster.Reuse-based software component concept is used to construct cases in case-based reasoning.Case-based reasoning method defined a mechanism for learning on the basis of the previous case in order to solve the current problem.That is the basic idea about how to build application generator as fast development by reuse collection of previous code component.
Comparative analysis of the level of formation of the informational worldview of students of the pedagogical university of various fields of education

А. А. Комарова
A robust image-encryption approach against transmission errors in Communicating Things Networks

In this paper, we target the problem of image transmission in Communicating Things Networks (CTNs) where the ultimate objective is to preserve both the visual quality of the received data at the destination node and the network resources, energy in particular. Nevertheless, visual quality is known to be proportional to the image volume (i.e., better visual quality leads to voluminous data and vice-versa) and hence inversely proportional to the energy cost. Furthermore, as CTNs are open infrastructures, they are prone to transmission errors which are almost managed through costly data re-transmissions. We propose a novel approach, composed of two components: (a) a low layer communication protocol coupled with (b) an image errors recovery filtering mechanisms; which avoids re-transmission due to communication errors. The key idea behind our proposal is to manage errors in transmitted data at the application layer, rather than at the network layer. In other words, corrupted packets are transferred from the lower layers to the upper layers, and a filtering algorithm is in charge to reconstruct the corrupted image. The results of the extensive experiments we conducted have demonstrated the powerful strength of the proposed solution to resist against various types of errors and to enhance the visual quality of images whilst ensuring both data confidentiality and network resources preservation.
A Novel Feature-Based Pose Estimation Method for 3D Faces

A novel feature-based pose estimation method for 3D faces is described in this paper. Depending on the salient crest lines which describe the rough sketch of prominent convex regions on a 3D face, the nose tip and the nose bridge are determined and used to estimate face pose without manual initialization, modeling, and training. The experimental results demonstrate that the proposed method can provide accurate, continuous and autonomous pose estimation of six degrees of freedom (DOF) for 3D faces with large pose rotation and self-occlusion.
Creative practices in continuous professional development of scientific and pedagogical workers

The article is concerned with the topical problem of the gist and meaning of creative practices in the implementation of the continuous professional development of scientific and pedagogical workers. The authors made a theoretical and empirical analysis of expert legislative Ukrainian and European documents prepared in the framework of international projects and the practice of implementing creative industries. It is proven that creative practices in the continuous professional development of research and teaching staff represent an effective experience of adaptive application of creative competencies, formed in the process of solving problem-search and innovation and research tasks, the creation of creative methods of professional development, experience of project activities in the space of creative industries, the practice of education of international teams of creative researchers. The effective use of the mentioned options for the development of lifelong learning can stop isolation and stagnation in the field of research, formulate the demand on quality training of researchers and cost-effective developments in the field of fundamental and applied sciences, reduce the gap between research and the implementation of its findings, integrate continuing education and science of Ukraine in the educational and research area of the European Union. For its realization it is necessary to promote the formation of a coherent system of formal, informal, and non-formal education in its vertical and horizontal network options; to develop and implement a system for validation of informal and non-formal education outcomes, to implement the principles of a competitive educational virtual environment; to develop the individual educational trajectories of professional development and self-development of specialists; to develop and implement a differentiated, multi-elective profile that is also diversified by the program profile, forms of adult education based on one’s professional needs, individual needs, social and economic demands, and to actualize creative industry development
Data Analysis of Wireless Networks Using Classification Techniques

In the last decade, there has been a great technological advance in the infrastructure of mobile technologies.The increase in the use of wireless local area networks and the use of satellite services are also noticed.The high utilization rate of mobile devices for various purposes makes clear the need to track wireless networks to ensure the integrity and confidentiality of the information transmitted.Therefore, it is necessary to quickly and efficiently identify the normal and abnormal traffic of such networks, so that administrators can take action.This work aims to analyze classification techniques in relation to data from Wireless Networks, using some classes of anomalies pre-established according to some defined criteria of the MAC layer.For data analysis, WEKA Data mining software (Waikato Environment for Knowledge Analysis) is used.The classification algorithms present a success rate in the classification of viable data, being indicated in the use of intrusion detection systems for wireless networks.
Diffeomorphic Medial Modeling

Deformable shape modeling approaches that describe objects in terms of their medial axis geometry (e.g., m-reps [10]) yield rich geometrical features that can be useful for analyzing the shape of sheet-like biological structures, such as the myocardium. We present a novel shape analysis approach that combines the benefits of medial shape modeling and diffeomorphometry. Our algorithm is formulated as a problem of matching shapes using diffeomorphic flows under constraints that approximately preserve medial axis geometry during deformation. As the result, correspondence between the medial axes of similar shapes is maintained. The approach is evaluated in the context of modeling the shape of the left ventricular wall from 3D echocardiography images.
2D reconstruction of small intestine's interior wall

Examining and interpreting of a large number of wireless endoscopic images from the gastrointestinal tract is a tiresome task for physicians. A practical solution is to automatically construct a two dimensional representation of the gastrointestinal tract for easy inspection. However, little has been done on wireless endoscopic image stitching, let alone systematic investigation. The proposed new wireless endoscopic image stitching method consists of two main steps to improve the accuracy and efficiency of image registration. First, the keypoints are extracted by Principle Component Analysis and Scale Invariant Feature Transform (PCA-SIFT) algorithm and refined with Maximum Likelihood Estimation SAmple Consensus (MLESAC) outlier removal to find the most reliable keypoints. Second, the optimal transformation parameters obtained from first step are fed to the Normalised Mutual Information (NMI) algorithm as an initial solution. With modified Marquardt-Levenberg search strategy in a multiscale framework, the NMI can find the optimal transformation parameters in the shortest time. The proposed methodology has been tested on two different datasets - one with real wireless endoscopic images and another with images obtained from Micro-Ball (a new wireless cubic endoscopy system with six image sensors). The results have demonstrated the accuracy and robustness of the proposed methodology both visually and quantitatively - registration residual error of 0.93±0.33 pixels on 2500 real endoscopy image pairs and residual error accumulation of 16.59 pixels and without affecting the visual registration quality on stitching 152 images of Micro-Ball.
Optimal Conditional Expectation at the Video Poker Game Jacks or Better

There are 134,459 distinct initial hands at the video poker game Jacks or Better, taking suit exchangeability into account. A computer program can determine the optimal strategy (i.e., which cards to hold) for each such hand, but a complete list of these strategies would require a book-length manuscript. Instead, a hand-rank table, which fits on a single page and reproduces the optimal strategy perfectly, was found for Jacks or Better as early as the mid 1990s. Is there a systematic way to derive such a hand-rank table? We show that there is indeed, and it involves finding the exact optimal conditional expected return, given the initial hand. In the case of Jacks or Better (paying 800, 50, 25, 9, 6, 4, 3, 2, 1, 0), this is a random variable with 1,153 distinct values, of which 766 correspond to garbage hands for which it is optimal to draw five new cards. We describe the hands corresponding to each of the remaining 387 values of the optimal conditional expected return (sorted from largest to smallest) and show how this leads readily to an optimal strategy hand-rank table for Jacks or Better. Of course, the method applies to other video poker games as well.
MAKING EDUCATION: EXPLORING DIGITAL FABRICATION POTENTIAL WITHIN FASHION DESIGN LEARNING PROCESS

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 7747-7756ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.1877Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
Deep Natural Language Understanding of News Text

Early proposals for the deep understanding of natural language text advocated an approach of “interpretation as abduction,” where the meaning of a text was derived as an explanation that logically entailed the input words, given a knowledge base of lexical and commonsense axioms. While most subsequent NLP research has instead pursued statistical and data-driven methods, the approach of interpretation as abduction has seen steady advancements in both theory and software implementations. In this paper, we summarize advances in deriving the logical form of the text, encoding commonsense knowledge, and technologies for scalable abductive reasoning. We then explore the application of these advancements to the deep understanding of a paragraph of news text, where the subtle meaning of words and phrases are resolved by backward chaining on a knowledge base of 80 hand-authored axioms.
Revocable Broadcast Encryption with Constant Ciphertext and Private Key Size

In a revocable broadcast encryption scheme, the group manager can flexibly set revoked users who cannot decrypt the ciphertext. Many applications of the revocable broadcast encryption have been found in the secure cloud data sharing. An adaptively secure revocable broadcast encryption system with constant ciphertext and private key size under standard assumptions is more suitable for use in the cloud environment. Few existing revocable broadcast encryption schemes meet such a requirement. We propose a revocable broadcast encryption scheme with constant size ciphertext and private key by combining the RSA cryptographic accumulator with an efficient identity based encryption system. We prove it to be adaptively secure under standard assumptions using dual system encryption techniques.
The Effect of Cooking Vocational Training Education Factors on Self-Efficacy, Life Satisfaction and Sociality in Prison

This study was conducted on the prisoners who were receiving cooking vocational training and had about 1 week left in the H prison cooking vocational training education, which is operated as the largest level among the public cooking vocational training prisons of the Ministry of Justice. The purpose of this study was to investigate the effects of prisoners on self-efficacy, life satisfaction, and self-esteem while receiving cooking vocational training, and to compare the implications of these findings in connection with the results of previous cooking vocational training. To accomplish the purpose of the study, questionnaires were distributed to job trainees and finally a total of 262 copies were analyzed. Statistical package SPSS 21.00 was used to analyze the general characteristics, factor analysis, reliability analysis, and correlation analysis of the respondents. Regression analysis was performed to test hypotheses. As a result of this study, the self-efficacy has mediating effect to improve the life satisfaction and sociality in prison, which can reduce fear of preparation for employment and assure confidence in social adaptation. Cooking Vocational training education is expected to improve life satisfaction and sociality in prison, which will reduce the recidivism rate after the release and help the inmates to adapt to society.
SAUDI STUDENTS’ ATTITUDE TOWARD USING SOCIAL MEDIA TECHNOLOGIES AS A SUPPORTIVE TOOL IN ENGLISH LANGUAGE LEARNING

SAUDI STUDENTS’ ATTITUDE TOWARD USING SOCIAL MEDIA TECHNOLOGIES AS A SUPPORTIVE TOOL IN ENGLISH LANGUAGE LEARNING
Perancangan Sistem Informasi Posyandu Berbasis Web Pada Yayasan Kalyanamitra Di Jakarta Timur Untuk Mendukung Program Bidang Pendampingan Komunitas

The objective of this research is to design an Information system of Pos Pelayanan Terpadu (Posyandu), especially to toddlers, pregnant women, and the elderly to support the performance of the Community Asisstance in Kalyanamitra Foundation. The analysis using System Development Life Cycle (SDLC) method with waterfall model and the design using the Object-Oriented Analysis and Design (OOAD) method with defining all objects interaction which are described by the UML (Unified Modeling Language) diagram. The analysis was applied on current working system and the result became the basis for designing a Posyandu web-based information system to assist the implementation of Posyandu for toddlers, pregnant women, and the elderly, especially in registering, documenting and storing data, and reporting which correspond to organizational needs. Posyandu information system supports Kalyanamitra Foundation's program in intervening with local government to improve the quality of Posyandu services and facilities.
Non-preemptive chaotic cat swarm optimization scheme for task scheduling on cloud computing environment

Cloud computing is a consumable technology of our time that allow sharing of resources (e.g.virtual machines, storage, bandwidth) to meet the exponential demand of cloud end-users [1-4].Three service models associated with cloud computing environment include software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS).The SaaS layer of cloud computing allows cloud customers to run applications remotely, where application delivery is carried out via the Internet and manage by a third-party vendor.The cloud customers often interact with SaaS layer to get their task submitted to the IaaS layer (e.g.datacenter) and later receives its processed results via the SaaS layer.
Augmented Reality Aided Medical Device Design

Blurring the line between the physical and digital environment, augmented reality (AR) is the next frontier for medical device design. It is particularly useful as a means for rapid concept visualization and iterative refinement. By selectively mixing AR and physical prototypes, designers can conduct haptic evaluation alongside visual assessment. The integration of AR and traditional tools during development continues the practice of advancing design methods in parallel with technology. This paper explains the design of a mobile medical device/workstation using an AR aided medical device design process from an industry perspective. This case study demonstrates the viability and benefits of an AR aided design process pairing off-the-shelf AR technology with physical models of increasing fidelity. AR aided medical device design helps design teams accelerate development, lower prototyping costs, assess scaled designs earlier, illustrate contextual constraints, and reduce development risk.
Analysis and implementation of MRI denoising methods using statistical filtering approach

Magnetic Resonance (MR) images are mostly corrupted with white Gaussian noise called as Rician noise. Due to its dependency on signal this noise is multiplicative in nature. Because of this noise contrast quality of MR images degrades significantly. That leads to lot of difficulties have to analysts in order to extract the useful information from images for proper diagnosis of disease. Various authors have proposed different statistical techniques for MR image denoising. Our main goal is to preserve such useful details like texture information, thin edges, and structural content of useful information when denoising. Methods are applied to the Rician noise corrupted images. In this work, we analyze the various statistical techniques like Average, Median and Gaussian filters. These techniques have ability to preserve the edges of fine structures and also to perform efficient denoising.
Hypergraphic Degree Sequences are Hard

In their celebrated 1960 paper Erd˝os and Gallai give an eective characterization of degree sequences of graphs. The analog problem for 3-hypergraphs has been open ever since. We solve it by showing that deciding degree sequences of 3-hypergraphs is NP-complete.
Instagram para el fomento de la Educación Física

The mobile phone with its applications and social networks have burst strongly in recent years in this knowledge society of the 21st century. This entails an unbeatable opportunity to innovate in the subject of Physical Education in terms of the use of ICT in the classroom itself, but also outside it. With the use of social networks the idea is to share the information of sports activities and exchange experiences, ideas and motivations; in the case of this intervention project through the social network Instagram. The aim of this innovative work will be to work on the use of the Instagram mobile application in Physical Education to improve the motivation and performance of students, encouraging the promotion of physical activity of students in and out of the classroom through the Social Network.
The design and implementation of AIDA

This paper describes the development of AIDA, the Ancient Inscription Database and Analytics system. The AIDA system currently stores three types of ancient Minoan inscriptions: Linear A, Cretan Hieroglyph and Phaistos Disk inscriptions. In addition, AIDA provides candidate syllabic values and translations of Minoan words and inscriptions into English. The AIDA system allows the users to change these candidate phonetic assignments to the Linear A, Cretan Hieroglyph and Phaistos symbols. Hence the AIDA system provides for various scholars not only a convenient online resource to browse Minoan inscriptions but also provides an analysis tool to explore various options of phonetic assignments and their implications. Such explorations can aid in the decipherment of Minoan inscriptions.
Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification

Implicit discourse relation classification is one of the most challenging and important tasks in discourse parsing, due to the lack of connectives as strong linguistic cues. A principle bottleneck to further improvement is the shortage of training data (ca. 18k instances in the Penn Discourse Treebank (PDTB)). Shi et al. (2017) proposed to acquire additional data by exploiting connectives in translation: human translators mark discourse relations which are implicit in the source language explicitly in the translation. Using back-translations of such explicitated connectives improves discourse relation parsing performance. This paper addresses the open question of whether the choice of the translation language matters, and whether multiple translations into different languages can be effectively used to improve the quality of the additional data.
ADMISSIBILITY AND AUTHENTICITY OF ELECTRONIC EVIDENCE IN THE COURTS OF MALAYSIA AND UNITED KINGDOM

This concept paper elaborates on two main aspects of electronic evidence (1) the admissibility of such evidence in the courts of law, and (2) its authenticity as evidence for the consideration of the courts. In both aspects, the scope of discussion would be the laws in Malaysia and in the United Kingdom (UK). In essence, the relevant rules providing for electronic evidence in Malaysia is the Evidence Act 1950, meanwhile for the case of the UK, the Civil Evidence Act 1995 and Police and Criminal Evidence Act 1984 which provide for electronic evidence in civil and criminal matters respectively. Engaging in comparative legal research methods, and purely library-based, the relevant legal provisions for each jurisdiction are elaborated, and numerous cases are discussed in this paper to illustrate the application of such sections in admitting and authenticating electronic evidence in the Courts of Malaysia and the UK. Hopefully, this paper would become a contribution to the body of knowledge and contribute towards more in-depth research in the area of law of evidence.
Rancang Bangun Aplikasi Sastra Lisan (Lawas) Khas Sumbawa Berbasis Android

This study aims to convert data from Sumbawa Lawas (Oral Poetry) which are currently preserved in the form of books for changes to digital forms. This study uses spiral software development methods and programming languages using Android Studion 2.3.3 as well as SQLite databases targeting Android users version 5.0 (Lollipop). The method of data collection uses a literature study technique with data sources from Boan Lawas book by publisher Usman Amin Trussmedia with ISBN 978-602-0992-88-4 and uses black box testing methods whose testing is done by testing software in terms of functionality. The results of this study are the Android-based for Sumbawa Lawas Application that can be accessed through the Play Store which is equipped with history, type, poetry and meaning and about the application so that it can provide information for Sumbawa indigenous people and people outside Sumbawa.
MIXED REALITY AS NEW OPPORTUNITY IN THE PRESERVATION AND PROMOTION OF THE CULTURAL AND HISTORICAL HERITAGE

MIXED REALITY AS NEW OPPORTUNITY IN THE PRESERVATION AND PROMOTION OF THE CULTURAL AND HISTORICAL HERITAGE
Using Word Embeddings for Visual Data Exploration with Ontodia and Wikidata

One of the big challenges in Linked Data consumption is to create visual and natural language interfaces to the data usable for non-technical users. Ontodia provides support for diagrammatic data exploration, showcased in this publication in combination with the Wikidata dataset. We present improvements to the natural language interface regarding exploring and querying Linked Data entities. The method uses models of distributional semantics to find and rank entity properties related to user input in Ontodia. Various word embedding types and model settings are evaluated, and the results show that user experience in visual data exploration benefits from the proposed approach.