Reviewerly/exHarmony huggingface dataset:
An ensemble algorithm for discovery of malicious web pages

Internet has become one of our daily life activities that all of us agree on its important role. It is necessary to know how it can either have misuse. Identity theft, brand reputation damage and loss of customer's confidence in e-commerce and online banking are examples of the damages it can cause. In this paper, we proposed an ensemble learning algorithm for discovery of malicious web pages. The goal is to provide more learning chance to the data instances, which are misclassified by previous classifiers. To this aim, we employ a genetic algorithm (GA) to improve classification accuracy. In this algorithm a weight is assigned to a weak classifier and GA chooses the best set of committee members of weak classifiers to make an optimal ensemble. Experimental results demonstrate that this algorithm leads to the classification accuracy improvement.
RISKS IN HIGHER EDUCATION AND HOW DO RUSSIAN STUDENTS EVALUATE THEM

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 8897-8901ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.2216Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
Changes in the Description of the Relationship with the Jurchen in the Early Joseon Period in Korean History Textbooks

This study examines changes in the description of the Jurchen–which used to emphasize a superior position of the Joseon Dynasty among neighboring countries– in textbooks on Korean history Textbooks. To this end, textbooks published between the country’s independence in 1945 and 2014 were examined for their descriptions of the relationship with the Jurchen during the early Joseon period.BR After the country’s independence, these descriptions strongly reflected a nationalistic viewpoint. However, related terms became gradually standardized, reflecting the results of academic research, and errors were corrected. Additionally, phrases and terms that showed a superior tone over the Jurchen were either deleted or modified to more objective descriptions. It is regrettable that the related contents are reduced and that traces of nationalistic tone remain, but it is a positive development that improvements have been made over time.
BACKCHANNELS TO PROMOTE REFLECTIVE CHAT AND PRACTICE AMONG TEACHERS

Appears in: INTED2019 Proceedings Publication year: 2019Page: 4682 (abstract only)ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1159Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
Methodological Principles of Poly-Artistic Education of a Person in the Integrated Education System

The article outlines the methodological principles of the artistic education of an individual in the system of integrated artistic education. It is proved that the methodological basis of the integrative processes in education is the philosophical, psychological and cultural conditions and concepts. The determinants of artistic and pedagogical integration necessary for the construction of the integration theory in the field of artistic education and poly-artistic upbringing of the personality are revealed. It is determined that the manifestation of the integration specificity in the field of artistic education is due to the action of psychophysiological mechanisms, and human-centeredness is the fundamental feature of didactic integration. The classification of different categories of integration in pedagogy and didactics is given. The influence of integrative processes on the consciousness and sensory-sensual sphere of a person is considered. It is determined that the psychological preconditions of integrated learning are the peculiarities of human thinking, which organically combines sensual, imaginative-figurative, rational-logical, and creative-intuitive aspects of cognition. The necessity for developing the content of integrated courses and their corresponding technological support is substantiated.
Aspect-specific Sentiment Classification Method Based on High-dimensional Representation

Aspect-specific sentiment classification is a fine grained sentiment classification task. The traditional coarse-grained sentiment analysis methods only identify the consumersâ€™ sentiment polarity towards the product as a whole, but ignores the important attribute information, which leads to the inability to refine consumer preferences and clarify the advantages and disadvantages of commodity attributes. To solve this problem, we use the review text and its specific aspect information to construct a multi-level, high-dimensional deep neural network model. First, the clause segmentation algorithm is used to divide the review text into several clauses; secondly, the words in the clause are encoded by the bidirectional long short term memory neural network, and the vector representation of the clauses is obtained. Finally, the vector representation of the whole review text is obtained by using the bidirectional long short term memory neural network to code all the clauses. And then the sentiment polarity of review text is obtained by the softmax layer. The experimental result shows that the proposed method can effectively improve the performance of sentiment classification.
외국인 유학생 시험 답안 쓰기 교육의 효과 연구 -설명형 시험 답안을 중심으로-

The objective of this study is to design an education plan about writing exam answers in order to improve the capabilities of international students in writing exam answers, and verify this through an experiment. Accordingly, this study proposed an education plan to write exam answers based on the results of previous studies, and aimed to verify the plan through an experiment. The experiment was conducted on 19 learners of the Korean language for academic purposes at a university. The learners received education about writing exam answers after the midterm exam, and then took the final exam. The questions on comparison and contrast were selected for the experiment among descriptive questions that require long answers. The answers were scored by two lecturers with at least 10 years of experience in Korean language education according to the evaluation criteria selected by this study, and a statistical analysis was conducted on the results. Aside from the statistical analysis, a survey was also conducted on the learners to verify the effects of the lecture on how to write exam answers. The analysis showed significant results in all of the contents, composition and expressions of the exam answers given by the learners in the final exam. In the survey, the learners also responded that the lecture on how to write exam answers helped them greatly in terms of composition and expression.(Ewha Womans University)
Pricing of cloud computing services

Pricing cloud computing has always been a big challenge not only to many Cloud Service Providers (CSPs) but also to many cloud consumers because of the exponential growth of new service features or characteristics appear almost daily. However, pricing of cloud services is a challenging task due to its services complexity and dynamic nature of the ever-changing environment. In this project, we propose a solution based on value-based pricing, which does not only consider how much does the service cost to a CSP but also how much a customer is willing to pay for the service. We demonstrate that the cloud extrinsic values would not only become one of the competitive advantages for CSPs to lead the cloud market but also increase the profit margin.
IMPLEMENTACIÓN DE UN ENTORNO VIRTUAL PARA EL FORTALECIMIENTO DEL PROCESO DE ENSEÑANZA APRENDIZAJE DELOS ESTUDIANTES DEL NOVENO AÑO BÁSICO EN LA ACADEMIA ESCUELA PARTICULAR ALEJANDRO HUMBOLDT

The objective of this research is to implement a virtual Environment for the strengthening of the teaching-learning process for students’year of basic education at the Alejandro Humboldt private school academy, in order to boost school performance and to promote the use of new technological tools in the educational establishment.Considering therefore that, the virtual environment will provide communication, interactivity, dynamism in the presentation of contents and texts to both teachers and students. This is intended to promote a new wary of learning and teaching through the use of these information and communication technologiesThe methodology used in the research process was qualitative and quantitative, with the application of experimental. statistical and bibliographic methods.The solution proposal culminates with the development and implementation of a virtual environment using the moodle platform, which was applied to the ninth basic year with a total of ten subjects according to what is established in the curriculum.
Classification of breast lumps on the basis of fine needle aspiration cytology or FNAC

Classification of breast lumps on the basis of fine needle aspiration cytology or FNAC - ACHR- Print ISSN No: - 2581-5725 Online ISSN No:- 2456-9267 Article DOI No:- 10.18231/2456-9267.2019.0011, IP Archives of Cytology and Histopathology Research-IP Arch Cytol Histopathol Res
Robust Super-resolution Using Multiple Bases and 3D Filtering

In this work, we propose a method for the super-resolution of images in the presence of impulse noise. First, the impulse noise locations are identified using a detector and then, an optimization problem is solved to reconstruct the high-resolution image. Further, we propose the concept of image reconstruction using multiple bases and 3D filtering to improve the performance of the proposed method. We call this concept as MB3D. We apply the proposed method along with MB3D on various datasets to test its efficacy. We also perform experiments on some real noisy images.
IMPROVING TEACHING OF MATHEMATICS THROUGH DATA MINING AND LEARNING ANALYTICS

1 Slovak University of Technology in Bratislava, Faculty of Materials Science and Technology in Trnava (SLOVAKIA)2 University of Economics in Bratislava, Faculty of Econimic Informatics (SLOVAKIA)
Improved Reinforcement Learning with Curriculum

Humans tend to learn complex abstract concepts faster if examples are presented in a structured manner. For instance, when learning how to play a board game, usually one of the first concepts learned is how the game ends, i.e. the actions that lead to a terminal state (win, lose or draw). The advantage of learning end-games first is that once the actions which lead to a terminal state are understood, it becomes possible to incrementally learn the consequences of actions that are further away from a terminal state - we call this an end-game-first curriculum. Currently the state-of-the-art machine learning player for general board games, AlphaZero by Google DeepMind, does not employ a structured training curriculum; instead learning from the entire game at all times. By employing an end-game-first training curriculum to train an AlphaZero inspired player, we empirically show that the rate of learning of an artificial player can be improved during the early stages of training when compared to a player not using a training curriculum.
OCR Nachkorrektur des Royal Society Corpus

We present an approach for automatic detection and correction of OCR-induced misspellings in historical texts. The main objective is the post-correction of the digitized Royal Society Corpus, a set of historical documents from 1665 to 1869. Due to the aged material the OCR procedure has made mistakes, thus leading to files corrupted by thousands of misspellings. This motivates a post processing step. The current correction technique is a pattern-based approach which due to its lack of generalization suffers from bad recall.To generalize from the patterns we propose to use the noisy channel model. From the pattern based substitutions we train a corpus specific error model complemented with a language model. With an F1-Score of 0.61 the presented technique significantly outperforms the pattern based approach which has an F1-score of 0.28. Due to its more accurate error model it also outperforms other implementations of the noisy channel model.
A Novel Adaptive Pixel Retaining Approach for Robust Watermarking Using Histogram Intersection Technique

Imperceptibility criterion as, the host image is intellectual property that the owners want to protect. It should be visually the increased usage of digitized data for communication leads to the high demand in the copyright protection of the data. This proposed watermarking technique helps to highly improve the capacity of embedding watermark without affecting the imperceptibility and robustness. The approach couples the idea of building analysis rule in generating the watermark, thereby increasing the capacity of embedding watermark. The approach is additionally guided with Histogram Intersection technique to improve the confidentiality of watermark. The APRA (Adaptive Pixel Retaining Approach) Algorithm helps to improve the imperceptibility of the extracted watermark. Watermark is embedded in host image by Singular Value Decomposition (SVD). The APRA Algorithm helps to rebuild the extracted watermark in such a way that it remains close to the original watermark. With the available dataset, the experiments are performed and obtained results shows that the proposed watermarking technique yields watermarked images with high imperceptibility and robustness to common attacks.
INNOVATIVE CAPABILITIES OF GRADUATES: HAVE EDUCATED YOUNG PEOPLE A POWER TO INNOVATE?

1 Ural Federal University named after the first President of Russia B.N.Yeltsin (RUSSIAN FEDERATION)2 Russian University of Cooperation (RUSSIAN FEDERATION)
A survey on security analysis and privacy issues of wireless multimedia communication system

Wireless multimedia communication (WMC) is an emerging service that integrates voice, video, and data in the same service. The wireless handheld device used to provide multimedia communication such as PDA, Sensor, Mobile phones etc., are resource constrained and also need security protocol for successful multimedia communication between server and user. Many researchers are put their effort to develop secure cryptography algorithms and protocol to allow the user to access the data securely in telemedicine, surveillance system, and video on demand, digital cash, online shopping, digital content delivery and video conferencing technology. This paper focuses on security analysis of different encryption algorithm, secure architecture, encoding algorithm, authentication protocol and video encoding method. It also discuss about security multimedia challenges, characteristics, multimedia services, different attacks, software information and forecasts future perspectives of wireless multimedia technology.
Can AI outperform humans in detecting cervical cancer

Automated evaluation of digital images of the cervix may have potential in point-of-care cancer screening, according to results of a proof-of-concept study.
LibGuides: GOBI: How to request titles for purchase (For faculty): Home

A guide for History & Political Science faculty on requesting books through GOBI. Faculty in other subject areas should consult with their liaison.
Деление социона на «однородные» четвёрки типов: вариант двух формул

This article is the seventeenth in a series devoted to organization of student studies, where they will learn mathematical apparatus of socionics. This time, we will consider the tasks connected with the finding all the tetrachotomies of the socion on “homogeneous” groups of four types. Each of the four types matches to the same formula consisting of three operators of classical intertype relations only in 15 cases out of all possible divisions of the socion that satisfy the specified clause. In this article, the socion tetrachotomy version with two formulas is analyzed. There are 114 such cases.
Fintech for the Water Sector : Advancing Financial Inclusion for More Equitable Access to Water

For many low-income households in the developing world, incomes are highly variable and uncertain. High up-front costs combined with irregular incomes result in unequal access to water, sanitation, and irrigation. Households typically can, and should, cover the costs of accessing water resources, but they cannot do this without help. Financial inclusion can help households access water resources. Financial inclusion focuses on ensuring everyone has access to useful and affordable financial products and services, including transactions, payments, savings, credit, and insurance. The emerging field of financial technology (fintech) can help address barriers to financial inclusion in the water sector while potentially reducing or eliminating the need for subsidy. Fintech solutions already address some of the needs of developing-nation households—applications include payments and mobile money, pay-as-you-go (PAYG) models, insurance technology (insurtech), and virtual banks. This paper explores how fintech can support expansion of market-based solutions for water, sanitation, and irrigation, identifying several use cases where fintech is already being used to address financial inclusion and access to water. In addition to ways that fintech can help households access water supply and sanitation services, the paper also examines how fintech can help water utilities serve low-income customers more effectively and assist small-scale service providers in growing their businesses.
Numerical Problem Encryption for High-Performance Computing Applications

Recent years witnessed the diffusion of cloud-based services.Cloud services have the interesting advantage that they can provide resources (CPU, disk space, etc.) that would be too expensive to deploy and maintain in-house.A major drawback of cloud-based services is the problem of handling private data and-possibly -intellectual property to a third party.With some service (e.g., data storage), cryptography can provide a solution; however, there are some services that are more difficult to protect.An example of such services is the renting of CPU to carry out numerical computation such as differential equation solving.In this chapter, we discuss the problem of encrypting numerical problems so that their solution can be safely outsourced.The idea is to transform (encrypt) a given numerical problem into a different one whose solution can be mapped back to the solution of the original problem if the key used at the encryption stage is known.
Some Comments on the Performance of Information Ratios for Assessing Numbers of Components in Finite Mixtures

Information-based methods have been found useful for providing alternative ways in order to address the difficult problem of estimating the number of components in finite mixture models. In the present study we focus on a specific information-based method called minimum information ratio (MIR) criterion. Since simulation results presented in earlier research work showed in general a nice performance of this criterion in cases of good data clustering the aim of the present study will be to investigate reasons underlying such behavior. Our approach is motivated by the fact that a high MIR value computed during implementation of this criterion when a model with true number of components k is fitted can be considered as a natural indicator for good data clustering, whereas a small MIR value indicates poor data clustering. Simulations show that the more data clustering is improved the more the magnitude of this indicator exceeds corresponding magnitudes of MIR values obtained from fitted models with g(≠k) components. These results account in turn for a nice performance of the MIR criterion in cases of good data clustering.
한국어능력시험(TOPIK)에 대한 수험자의 인식 연구

This study is aims to study the perceptions of test-takers of TOPIK by analyzing the result in a critical assesment perspective. A survey with 98 TOPIK test-takers was conducted, and in-depth interviews with 10 students were followed to delve into their emotional reactions toward the TOPIK test. The results showed that the test-takers of TOPIK considered the test as an instrument to accomplish their purpose such as entering school, continuing studies, or applying for jobs. It was found that the test-takers had suffered from mental pressure, stress when they took the test. Second, the test-takers acknowledged TOPIK to be irrelevant to evaluate practical Korean language skills which are required to stay or study in Korea. Third, most test-takers were able to access information on TOPIK through various ways, yet they recognized the ways to be insufficient and limited. Besides, the respondents expressed discomfort with the inconsiderate management system and environment of the test in particular, such as the announcement of the results, considerable distance to the test venues, and attitude of the examination supervisors. The research proposes the following suggestions to improve TOPIK. First, considering that the purpose of TOPIK is to evaluate Korean language proficiency of test-takers, the questions must be developed for assessing their authentic skills of Korean language. Second, the test environment needs to be enhanced to ensure a complete and equitable test to be conducted. Paying attention to recruiting and educating exam supervisors is also needed as well. Third, it is important to protect the test-takers’ rights over their responsibilities.
LibGuides: Research Workshop I, Top 10 Library Research Hacks, Allegheny: Home

This guide will be used in the Research Workshop I: Top Ten Research Hacks at the Allegheny Campus.
INTEGRATION CHALLENGES OF ONLINE TRAINING IN HIGHLY QUALITY MANAGED INDUSTRIES

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 1519-1523ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.0461Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
Riuso, interoperabilità, influenza: la cooperazione virtuosa tra i progetti SHARE e Wikidata

In the era of fragmentation of information, the integration and cooperation between different projects is needed to the speading of knowledge. The present work illustrates the processes to identify entities in the linked data projects of the SHARE family as well as the valuable contribution that Wikidata, the open knowledge base of the Wikimedia family, can give to such initiatives. In this context, the success indicators of the project, such as reuse, interoperability and influence, are observed to evaluate this cooperation and propose other possible forms of enrichment.
In Memoriam: Peter L. Via (1941–2018)

Peter Via is not a name known to many people within the mineral community. He never attended mineral shows, never purchased specimens over the Internet, never phoned “out of the blue,” and rarely i...
A Novel Clothing Design Method for Children with Autism Spectrum Disorders Based on Fun Computing Theory and Substance-field Analysis

Autism spectrum disorders (ASD) is a natural disorder that is characterized by impaired communication, impaired interaction and also by limited and repetitive behaviour. In this paper, we present a novel method based on Fun Computing and Substance-Field (Su-field) Analysis to empower designers in conceiving effective clothing design making children with ASD more interactive. In this method, Fun Computing is used to enhance the children's enthusiasm for interaction and Su-field analysis contributes to describing the interactions and behaviours in the design process. Finally, we conduct a controlled experiment to demonstrates the effectiveness of this method by measuring idea quality and quantity.
DIGITAL EDUCATIONAL MATERIALS IN COMPUTER SCIENCE

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 6734-6738ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1636Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain