Reviewerly/exHarmony huggingface dataset:
OceanGAN

Physics-based models for ocean dynamics and optical raytracing are used extensively for rendering maritime scenes in computer graphics [Darles et al. 2011]. Raytracing models can provide high-fidelity representations of an ocean image with full control of the underlying environmental conditions, sensor specifications, and viewing geometry. However, the computational expense of rendering ocean scenes can be high. This work demonstrates an alternative approach to ocean raytracing via machine learning, specifically Generative Adversarial Networks (GANs) [Goodfellow et al. 2014]. In this paper, we demonstrate that a GAN trained on several thousand small scenes produced by a raytracing model can be used to generate megapixel scenes roughly an order of magnitude faster with a consistent wave spectrum and minimal processing artifacts.
BIG ACADEMIC OPEN COURSE BASE ON CLOUD COMPUTING

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 10173-10178ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.2549Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
Incremental and Decremental Fuzzy Bounded Twin Support Vector Machine

In this paper we present an incremental variant of the Twin Support Vector Machine (TWSVM) called Fuzzy Bounded Twin Support Vector Machine (FBTWSVM) to deal with large datasets and learning from data streams. We combine the TWSVM with a fuzzy membership function, so that each input has a different contribution to each hyperplane in a binary classifier. To solve the pair of quadratic programming problems (QPPs) we use a dual coordinate descent algorithm with a shrinking strategy, and to obtain a robust classification with a fast training we propose the use of a Fourier Gaussian approximation function with our linear FBTWSVM. Inspired by the shrinking technique, the incremental algorithm re-utilizes part of the training method with some heuristics, while the decremental procedure is based on a scored window. The FBTWSVM is also extended for multi-class problems by combining binary classifiers using a Directed Acyclic Graph (DAG) approach. Moreover, we analyzed the theoretical foundations properties of the proposed approach and its extension, and the experimental results on benchmark datasets indicate that the FBTWSVM has a fast training and retraining process while maintaining a robust classification performance.
LibGuides: Scholarly Communication & Impact: Home

This guide is to help you navigate the different elements of the Scholarly Communication world and find out how you can use them to your benefit.
대학생 학업중단계획과 대학 적응, 소속감의 관계 연구

We examined influential factors to college students’ drop-out planning focusing on college adaption and sense of belonging. Using ｢The Korean Education Longitudinal Study 2005｣, we analyzed if sense of belonging to college and college adaption influenced students’ drop-out planning and sense of belonging to college actually mediated college adaption to influence students’ drop-out planning. It appeared that college adaption affected negatively to students’ drop-out planning and mediated belonging to college, while interaction variable between college adaption and grade advance in college affected positively.
A Study on the Decomposition of Productivity Factors in Regions Manufacturing Industry: Based on Busan Region

Purpose - The purpose of this study is to analyze the growth factors of Total factor productivity in Busan’s manufacturing industry and to provide implications. The results of the empirical analysis are as follows. Design/methodology/approach - This research analyzes data with the frontier production function that allows estimation of technological efficiency changes on the relationship between input of factors and the maximum output. The data also uses panel data that combines time series and cross sections rather than simple time series. Findings - The share and growth rate of the Busan manufacturing industry’s sales and value-added have decreased, and is significantly lower than those of the Whole country. Both technical efficiency and technological progress have deteriorated over time. The degree of decrease in technical efficiency, technological progress and total factor productivity all grows over time, and the degree of decrease in technological progress is greater than that of technology efficiency. Research implications or Originality - The total factor productivity has deteriorated to negative since 2016. By industry, metal-related products and machinery and transportation equipment industries have relatively large technical efficiency, technological progress and total factor productivity. On the other hand, there is low technical efficiency, technological progress and total factor productivity in labor-intensive industries such as leather, bags, shoes, textiles, pulp and paper, furniture.
Modelling Intensive Care Unit Length of Stay and Mortality Using Artificial Neural Networks

A large data set, consisting of 300 000 patients’ admission data to various intensive care units in Sweden, acquired from the Swedish Intensive Care Register, was used in this work. The aim was to enable accurate Length of Stay (LOS) and mortality within 30 days predictions by using feed-forward Artificial Neural Networks (ANNs). The LOS outcome was predicted as short versus long time stays, with the threshold of 5.5 days. The ambition is that models like the one implemented in the future can act as medical decision support, quality metric, and ease the planning of resources in intensive care units. As a part of the modelling process, an outlier detector was implemented in order to improve the predictions. The performances of the original ANN-model, regarding the Area Under the Curve (AUC), were 0.8265 (95% CI: ±0.0016) for LOS and 0.8826 (95% CI: ±0.0004) for mortality on a test set. The outlier detector served in proving its concept. It was possible to identify admissions that are prone to be misclassified and by excluding the outliers, a better model performance was achieved. The performance improved to an AUC of 0.8336 (95% CI: ±0.0009) for LOS and 0.8876 (95% CI: ±0.0002) for mortality. Benchmarking was performed by using Random Forest, Logistic Regression, and SAPS3, where ANNs outperformed all of them. Moreover, the predictions of mortality within 30 days were more accurate than the ones for LOS, in all considered models. Additionally, the predictor importance was assessed, where the result indicated whether a patient had ventilatory support or not was the most important predictor for LOS. For mortality, a patient’s age was the most important predictor according to the performed analysis. (Less)
An integrated approach to lithological and structural mapping

"An integrated approach to lithological and structural mapping." Applied Earth Science, 128(2), pp. 48–49
On Finite Block-Length Quantization Distortion

We investigate the upper and lower bounds on the quantization distortions for independent and identically distributed continuous sources in the finite block-length regime. We derive a lower bound on the quantization distortion, as well as an upper bound on the quantization distortion based on random quantization codebooks. Moreover, we apply the obtained bounds to the continuous Gaussian source. For the Gaussian source, we propose a computationally tractable method to numerically compute the upper and lower bounds, for both bounded and unbounded quantization codebooks. Numerical results show that the gap between the upper and lower bounds is small for the block length of several hundreds, and the upper and lower bounds are tighter than those proposed in the existing works.
DEVELOPMENT OF A MOODLE-BASED PLATFORM TO AID IN THE LEARNING PROCESS OF CHEMICAL NOMENCLATURE

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 5556-5560ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.1362Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
Stationary Phase Method in Discrete Wigner Functions and Classical Simulation of Quantum Circuits

One of the lowest-order corrections to Gaussian quantum mechanics in infinite-dimensional Hilbert spaces are Airy functions: a uniformization of the stationary phase applied in the path integral perspective. We introduce a stationary phase method to discrete Wigner functions of systems with odd prime dimension and show that the $\frac{\pi}{8}$ gate is the discrete analog of the Airy function. We then establish a relationship between the stabilizer rank of states and the number of quadratic Gauss sums necessary in the periodized stationary phase method. This allows us to develop a classical strong simulation of a single qutrit marginal on $t$ qutrit $\frac{\pi}{8}$ gates that are followed by Clifford evolution, and show that this only requires $3^{\frac{t}{2}+1}$ quadratic Gauss sums. This outperforms the best alternative qutrit algorithm (based on Wigner negativity and scaling as $\sim\hspace{-3pt} 3^{0.8 t}$ for $10^{-2}$ precision) for any number of $\frac{\pi}{8}$ gates to full precision.
TheeffectofProblem-BasedLearningprogramwithgraphicorganizerson thecriticalthinking&amp;creativethinkingabilitiesand thepersonalityaccordingtopersonalvariablesofgifted students

본 연구는 그래픽 조직자를 활용한 PBL(Problem-Based Learning; PBL) 프로그램이 영재의 개인변인인 가정환경, 학교환경에 따라 비판적 사고력과 성향, 창의적 사고력과 성향에 어떠한 영향을 미치는지 알아보고자 하였다. 이와 같은 연구를 수행하기 위하여 웩슬러 지능검사 IQ 125 이상 또는 레이븐 지능검사 결과 백분위 90 이상인 영재아동 25명을 대상으로 각각의 개인변인 점수의 상위그룹과 하위그룹을 비교하여 분석하였다. 본 연구에서 수행한 연구결과를 종합적으로 요약 정리하면 다음과 같다. 첫째, 그래픽 조직자를 활용한 PBL 프로그램을 가정에서 심리적 지지를 잘 받은 아동에게 적용했을 때 비판적 성향의 하위요인인 자기신뢰성에서 더 효과적인 결과를 나타냈다. 한편 가정에서 심리적 지지를 잘 받지 못하는 아동에게 적용했을 때 비판적 성향의 하위요인인 개방성, 탐구성, 창의적 성향의 하위요인인 동기에서 더 효과적인 결과를 나타냈다. 둘째, 그래픽 조직자를 활용한 PBL 프로그램을 교사와 관계가 좋은 아동에게 적용했을 때 비판적 사고력의 하위요인인 숨겨진 가정 확인하기, 비판적 성향 전체와 하위요인인 개방성, 탐구성에서 더 효과적인 결과를 나타냈다. 그리고 그래픽 조직자를 활용한 PBL 프로그램을 또래와 관계가 좋은 아동에게 적용했을 때 비판적 사고력의 하위요인인 숨겨진 가정확인하기, 비판적 성향의 하위요인인 개방성, 자기신뢰성에서 더 효과적인 결과를, 또래와 관계가 좋지 않은 아동에게 적용했을 때 비판적 사고력의 하위요인인 신뢰로운 정보 선택하기에서 더 효과적인 결과를 나타냈다. 이상과 같은 결과는 그래픽 조직자를 활용한 PBL 프로그램이 영재의 개인변인에 따라 비판적 사고력과 성향, 창의적 사고력과 성향에 다르게 영향을 미칠 수 있음을 의미한다.In this study,intended to examine what impact it influences on critical thinking ability and personality, creativethinking ability and personality of the gifted students in accordance with homeenvironment and school environment. The subjects of this study were 4th grade to 6th grade 25 students whose IQ of 125 or more based on Wechsler Scale of Intelligence or with 90 or more based on Raven Intelligence Test. The overall briefed contents of the result carried by this research are as follows. Firstly, when applying the PBL program utilizing graphic organizer to the children who have received psychological support well in the family, it showed more effective result in the self-reliance which is the sub-factor of the critical personality, and when applying it to the children who does not receive psychological support well in the family, it showed more effective result in the openness, exploratory property which are the sub-factors of the critical personality, and in the motivation which is the sub-factor of the creative personality. Secondly, when applying the PBL program utilizing the graphic organizer to children who have good relationship with teachers, it showed more effective results in the identifying hidden assumption which is the sub-factor of the critical thinking ability, and in the sub-factors of the critical personality such as openness, exploratory property and the whole of the critical personality. And when applying the PBL program utilizing graphic organizer to the children who have good relationship with peers, it showed more effective result in the identifying hidden assumption which is the sub-factor of the critical thinking ability, and openness and self-reliance which are the sub-factors of the critical personality. And when applying it to the children who do not have good relationship with peers, it showed more effective result in the selecting reliable information, which is the sub-factor of the critical thinking ability.
The Effect of STEAM-based Life Science Curriculum for Practical Arts in Elementary Education

본 연구는 초등학교 6학년 학생들을 대상으로 초등 실과 STEAM 생명과학 교육프로그램을 개발하고 적용하여, 그 효과를 검증하였다. 초등 실과 생명과학교육 내용의 관련성을 고려해 2009 및 2015 개정교육과정 실과 교과서(지도서) 및 교육과정과 STEAM 적용 가능성을 분석한 후, STEAM 교육을 실시할 수 있는 초등 실과 생명과학 관련 주제를 선정하였다. 프로그램 개발은 기획, 준비, 개발, 개선의 4단계를 거쳤으며, 개선단계에서 전문가 자문을 실시하여 보완하였다. 개발된 프로그램은 경기도 소재 초등학교 6학년 1개 반을 대상으로 단일집단 사전·사후검사 설계를 통하여 효과를 분석하였는데, 프로그램 적용 전·후 융합인재 소양의 효과를 분석하기 위하여 t-검증을 하였다. 본 연구를 통해 도출된 결론은 다음과 같다. 첫째, 교육과정 분석을 토대로 초등 실과교과의 생명과학 학습 내용과 STEAM 관련 선행연구를 분석하여 초등 실과 생명과학 영역에 기반한 STEAM 교육프로그램을 개발하였다. 둘째, 개발한 초등 STEAM 생명과학 교육프로그램은 초등학교 6학년 학생들의 융합적 소양함양에 효과적이었다. 본 연구를 통해 얻은 결론을 종합적으로 살펴보면, 본 교육프로그램은 다양한 생각들을 모으고 조합하는 과정에서의 내용 융합 능력, 유연한 사고와 새로운 문제를 해결하는데 생기는 창의성, 그리고 실생활과 관련된 활동을 제시하여 학생들의 적극적인 참여를 유발하고 활발한 의사소통과 배려심을 기르는데 효과적이었다. 따라서 타 학년 및 실과의 다양한 영역에서 융 합인재소양뿐만 아니라 다른 능력을 기르고, STEAM의 교육적 효과에 대한 연구와 실과의 다양한 분야의 프로그램 개발 관련 후속 연구가 필요할 것으로 보인다.The purpose of this study is to develop and investigate the effects a STEAM-based life science curriculum for practical arts in elementary education. To achieve this research aim, relevant theories research was conducted; a STEAM-based life science curriculum for practical arts was developed and implemented in four stages of planning, preparation, development and improvement. The developed program was implemented to identify the effects of STEAM literacy; the study was designed as one group pretest-posttest research. Students in grade 6 of an elementary school in Gyeonggi province participated in the study. The results of this study are as follows. First, an intended curriculum for research purpose was developed. Second, the STEAM-based life science education curriculum was effective in fostering the sixth-graders’ STEAM literacy. The developed curriculum was effective in inducing participation, encouraging active communication and consideration in the process of collecting and combining diverse ideas, creativity in solving flexible thinking and new problems. Therefore, it is necessary to carry out the research on the educational effects of STEAM and the development of programs in various fields of the practical arts by raising other capabilities as well as STEAM literacy in various fields of the practical arts in other grades.
A Single Image based Head Pose Estimation Method with Spherical Parameterization.

Head pose estimation plays a vital role in various applications, e.g., driverassistance systems, human-computer interaction, virtual reality technology, and so on. We propose a novel geometry based algorithm for accurately estimating the head pose from a single 2D face image at a very low computational cost. Specifically, the rectangular coordinates of only four non-coplanar feature points from a predefined 3D facial model as well as the corresponding ones automatically/ manually extracted from a 2D face image are first normalized to exclude the effect of external factors (i.e., scale factor and translation parameters). Then, the four normalized 3D feature points are represented in spherical coordinates with reference to the uniquely determined sphere by themselves. Due to the spherical parameterization, the coordinates of feature points can then be morphed along all the three directions in the rectangular coordinates effectively. Finally, the rotation matrix indicating the head pose is obtained by minimizing the Euclidean distance between the normalized 2D feature points and the 2D re-projections of morphed 3D feature points. Comprehensive experimental results over two popular databases, i.e., Pointing'04 and Biwi Kinect, demonstrate that the proposed algorithm can estimate head poses with higher accuracy and lower run time than state-of-the-art geometry based methods. Even compared with start-of-the-art learning based methods or geometry based methods with additional depth information, our algorithm still produces comparable performance.
COMPETENCY IN NUGGETS FOR CYBER SECURITY TRAININGS

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 4311-4318ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.1086Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
A Study on the Practice and the Direction for Development of Multicultural Korean Education Program in the Media - Focus on the Korean Language Learning Center of EBS Durian -

The present study is to introduce the specific contents of 11 programs and Korean lists from Korean language learning center by EBS Durian which is open and support for multicultural Korean education, and to clarify its characteristics. The Korean list, which supports Korean language education programs for multicultural immigrant women and children in Korea. These programs can be divided into Korean language education for adults(K-POP Korean, Easy to Learn Korean, Hello Korean, Screen Korean, Using Correct Korean, Korean Language and Writing), cultural exchange education(Eolsoo! Korean Show and Cooking Show with Korean), Korean education for the multicultural children(Hangul Train Chipo, Hangul Yaho, Hangul Friend Aracha). The programs on Korean language education consist of the way of verifying and practicing Korean vocabulary and expression, and introduces or makes Korean clothing and food in cultural exchange program. The Hangul learning program consists of activities such as Hangul consonants and vowels learning, vocabulary practice, and making sentences using vocabulary. The characteristics of education contents from these programs include multiculturalism, interest, and authenticity. Multiculturalism can be found in performers, cultural contents, and educational language. Interest was found in media utilization, format, character, activity, and authenticity appeared in educational vocabulary and activities. Based on this, it suggests the direction for the development of multicultural Korean education program using the media with proposing the equal multicultural contents, actively using scenes and voices, securing diversity of media types, formatting contents with a high level of authenticity, constructing the sustainable education contents, and establishing the bilateral programs.
Social competency formation of future specialist

Modern society is in dire need of socially competent professionals who can quickly adapt to the changing life situations, are ready to solve new problems, interested in improving the efficiency of professional activities, planning the future and ready to take responsibility for the decisions. The problem of development of social competency of the individual is interdisciplinary and in contrast to the problem of development of competency in general and professional competency in particular. In the scientific literature the approaches by which it is possible to give the essential characteristic of this phenomenon and to construct a model are designated: a) set of social knowledge, abilities, awareness of the person of social processes; b) social interaction, the ability and willingness of a person to it, the ability to build their relationships with other people and social organizations in real life; c) the integral quality of the individual, formed in the process of training and education; d) the purpose and result of the implementation of special development and educational programs of educational organizations. Comparative analysis allowed us to determine the components of social competency: personal component, social component, cognitive component, value-semantic component. In the social competency formation of students active teaching methods are the most popular. We consider the method of training “Educational firm” approved in the process of research at different educational levels as a systematized set of simulation methods. Effective socialization of a person should be considered in the context of competence-based approach, including the essential characteristics of competency, professionalism, qualification, personality.
지속가능한 교육발전을 저해하는 교사소진 발생요인 탐구

This study seeks to find out the causes of teacher burnout, which is a very important cause of impeding sustainable educational development. Teachers as a very important human resource for the development of sustainable education had a problem with the burnout of excessive stress at school. To find ...
Superlight – A Permissionless, Light-client Only Blockchain with Self-Contained Proofs and BLS Signatures

Blockchain protocols are based on a distributed database where stored data is guaranteed to be immutable. The requirement that all nodes have to maintain their own local copy of the database ensures security while consensus mechanisms help deciding which data gets added to the database and keep powerful adversaries from derailing the system. However, since the database that forms the foundation of a blockchain is a continuously growing list of blocks, scalability is an inherent problem of this technology. Some public blockchains need a few 100 GB to Terabytes of storage.In this work, we present the concept Superlight with self-contained proofs, which is designed to improve scalability of a public blockchain, while preserving security and decentralization. Instead of all nodes having a local copy of the whole blockchain to verify a transaction, nodes can derive the validity of a transaction by only using block headers. To keep the block headers compact, BLS signatures are used to combine signatures. We provide a definition of SCPs and show the required steps of a client to create a proof that is accepted by other nodes for transferring funds. The advantage of such a light-client-only blockchain is the lower storage requirement, while the drawback is an increased computational complexity due to BLS signatures, limited use-cases due to lack of a global state, and the requirement for an interactive protocol between sender, receiver, and miner to create a transaction.
VIDEO-BASED REFLECTION IN THE ACQUISITION OF SKILLS AND COMPETENCIES

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 4855-4865ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.1207Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
Finding Dissimilar Explanations in Bayesian Networks: Complexity Results

Finding the most probable explanation for observed variables in a Bayesian network is a notoriously intractable problem, particularly if there are hidden variables in the network. In this paper we examine the complexity of a related problem, that is, the problem of finding a set of sufficiently dissimilar, yet all plausible, explanations. Applications of this problem are, e.g., in search query results (you won’t want 10 results that all link to the same website) or in decision support systems. We show that the problem of finding a ‘good enough’ explanation that differs in structure from the best explanation is at least as hard as finding the best explanation itself.
ORGANIZATION OF E-LEARNING MATHEMATICS AT THE UNIVERSITY

1 Lobachevsky State University of Nizhny Novgorod (RUSSIAN FEDERATION)2 Plekhanov Russian University of Economics (RUSSIAN FEDERATION)3 Russian University of Transport (RUSSIAN FEDERATION)4 Armavir State Pedagogical University (RUSSIAN FEDERATION)