Reviewerly/exHarmony huggingface dataset:
Case Study of Career Education in High School-University Linkage Program : Focusing on Osan City ‘Early Bird’ Project

This research intended to present career education model and components of Early Bird Project and to describe specific achievements and limitations by field research process. The Early Bird Project organized by Osan City and Gyeonggi Provincial Office of Education and operated by one of universities in Seoul. The curriculum consists of four learning modules, Job Information, Basic Theory, Practice Learning, and Field Trip, based on the results of a preliminary survey, and is designed to connect each module organically. In addition, field research methods were applied to practice feedback loop processes that continuously improve the field by analyzing reports of hourly class and survey of class satisfaction. The results presented average values of class satisfaction and participation rates, and the narrative responses divided into satisfactory as well as unsatisfactory factors were analyzed qualitatively. The satisfactory factors consist of teaching methods, information acquisition, experience activities and operation factors, whereas the unsatisfactory factors include subject selection, teaching methods and other operation factors. These results will be reflected comprehensively in the implementation of the next program.
Privacy-Preserving and yet Robust Collaborative Filtering Recommender as a Service

In this paper, we provide a general system structure for latent factor based collaborative filtering recommenders by formulating them into model training and prediction computing stages. Aiming at pragmatic solutions, we first show how to construct privacy-preserving and yet robust model training stage based on existing solutions. Then, we propose two cryptographic protocols to realize a privacy-preserving prediction computing stage, depending on whether or not an extra proxy is involved.
An Improvement of Image Encryption Based on Continued Fractions of Quartic Irrationals

In this paper, we propose a symmetric-key image encryption scheme using an infinite simple continued fraction derived from a quartic irrational number of the form , where , as the secret key. Efficiency of encryption is measured in terms of correlation coefficients, deviation from ideality, the avalanche effect, and peak signal-to-noise ratios. After encrypting five standard test images, namely, Airplane, Baboon, Fruits, Lena, and Peppers, our scheme is compared with the schemes of Hamad et al . (2013) and Pareek (2012). The results show that our scheme is more effective than the scheme of Pareek (2012). Moreover, except for the correlation coefficients, our scheme is slightly more effective than the scheme of Hamad et al . (2013). Keywords : image encryption, RGB image,  continued fraction, quartic irrational number
Hierarchical One-out-of-Many Proofs With Applications to Blockchain Privacy and Ring Signatures.

The one-out-of-many proof is a cryptographic zero-knowledge construction enabling the prover to demonstrate knowledge of a secret element among the given public list of cryptographic commitments opening to zero. This method is relying on standard Decisional Diffie-Hellman security assumptions and can result in efficient accountable ring signature schemes [4] and proofs of set memberships [5] with a signature size smaller than all existing alternative schemes relying on standard assumptions. This construction also serves as a fundamental building block for numerous recent blockchain privacy protocols including Anonymous Zether [1], [2], Zerocoin [3], Lelantus [11], Lelantus-MW [9], Triptych [14] and Triptych-2 [15]. In this work, we introduce a new method of instantiating one-out-of-many proofs which reduces the proof generation time by an order of magnitude. Our approach still results in shorter proofs comprised of only a logarithmic number of commitments and does not compromise the highly efficient batch verification properties endemic to the original construction.
Abstraction of Bio-Medical Surface Data for Enhanced Comprehension and Analysis

Bio-medical data comes in various shapes and with different representations.Domain experts use such data for analysis or diagnosis,during research or clinical applications. As the opportunities to obtainor to simulate bio-medical data become more complex and productive,the experts face the problem of data overflow. Providing areduced, uncluttered representation of data, that maintains the data’sfeatures of interest falls into the area of Data Abstraction. Via abstraction,undesired features are filtered out to give space - concerning thecognitive and visual load of the viewer - to more interesting features,which are therefore accentuated. To address this challenge, the dissertationat hand will investigate methods that deal with Data Abstractionin the fields of liver vasculature, molecular and cardiac visualization.Advanced visualization techniques will be applied for this purpose.This usually requires some pre-processing of the data, which will alsobe covered by this work. Data Abstraction itself can be implementedin various ways. The morphology of a surface may be maintained,while abstracting its visual cues. Alternatively, the morphology maybe changed to a more comprehensive and tangible representation.Further, spatial or temporal dimensions of a complex data set maybe projected to a lower space in order to facilitate processing of thedata. This thesis will tackle these challenges and therefore provide anoverview of Data Abstraction in the bio-medical field, and associatedchallenges, opportunities and solutions.
A Study on Vietnamese Korean Language Learners' Reading Anxiety through Interviews

본 연구는 11명의 베트남인 중급 학습자들을 대상으로 한국어 학습자의 읽기 불안 양상 및 원인을 심층적으로 파악하는 데 목적이 있다. 본 연구는 이다슴·박성희(2019)의 후속 연구로서, FLRAS(Foreign Language Reading Anxiety Scale)의 문항을 인터뷰에 적합하게 재구성하였다. 기존의 연구들이 FLRAS를 통해 학습자의 읽기 불안 양상을 양적으로 평가하는 데에 집중했던 것과 달리 FLRAS 문항을 인터뷰로 재구성하여 학습자들의 불안 양상을 보다 구체적으로 파악했다는 점에서 본 연구의 의의를 찾을 수 있다. 본 연구를 통해 베트남인 중급 학습자들이 한국어 읽기 상황에서 경험하는 불안을 다각도로 살펴보았다. 그 결과 한국어 교사가 읽기 교수·학습 상황에서 적용 가능한 점들을 도출하면 (1) 읽기 전 단어와 문법에 대한 학습, (2) 읽기 전략 교수 강화, (3) 학습자들이 잦은 오류를 보이는 발음 연습, (4) 세심하고 긍정적인 피드백의 필요가 있다. 이 연구에서 제시하는 교수 방안이 베트남인 한국어 학습자의 읽기 불안 감소에 도움이 될 수 있고, 나아가 이들이 한국어 읽기에 대해 긍정적인 태도 및 인식을 형성하는 데 도움이 되길 바란다.This study aims to identify in-depth reading patterns and causes of Korean learners reading anxiety among 11 Vietnamese intermediate learners. As a follow-up study of Lee Da-seum and Park Sung-hee (2019), the items of FLRAS (Foreign Language Reading Anxiety Scale) were applied and reconstructed to suit the interview based on the five reading anxiety factors previously classified through factor analysis. Unlike previous studies that focused on quantitatively assessing learners reading anxiety through FLRAS, this study is meaningful in that the FLRAS items were re-interpreted by doing interviews to give a more specific picture of learners anxiety patterns. This study examined the personal causes, situations, and contextual causes of anxiety that intermediate learners experience in Korean reading situations and looked at various aspects of their efforts to overcome anxiety. Accordingly, Korean language teachers presented points applicable to teaching· learning situations: (1)Learning words and grammar before reading, (2) strengthening teaching on reading strategy (3)practicing pronunciation with frequent mistakes by learners, (4)careful and positive feedback. Hopefully, this will help reduce reading anxiety among Korean learners and help them form a positive attitude and awareness about Korean reading.
Recommender System in a Transactional Analytical Solution for Health Care and Health Promotion

The Sanologia, born at Havana University, proposes a new conception of people’s health and aims to enrich their lifestyle. The broad development of the information sciences and the maturity that has reached the proposed approach constitute the bases for the creation of new computational solutions. In the present paper, a mathematical-computational solution was conceived and designed for the application of the approach proposed by Sanologia based on NoSQL databases. The solution is characterized to favor the access of the users from diverse locations via mobile devices, from the instrumentation of a distributed architecture and the use of flexible data models. From the operational application, it is feasible to analyze the medical and social data collected in an automated way. Knowledge-based, content-based and collaborative filtering recommendation techniques are hybridized in a recommender system, which using machine learning and natural language processing is incorporated in order to support the decision-making process. The proposed solution is capable of offering personalized recommendations taking into account the users’ historical data, their behavior and the similarity with other users. The validity of the solution was verified by the implementation of a functional prototype and a set of experiments.
Research for the Three Dimensional Design Education using Backward Design

학습 목표와 평가를 먼저 계획하고 학습 과정과 평가가 이루어지는 백워드 설계모형은 영속적 이해를 통해 주요 개념을 배워 다른 과목이나 생활에 전이할 수 있도록 하는 것을 핵심원리로 여긴다. 이는 창의·융합형 인재와 그에 맞는 역량 강화를 추구하는 2015 개정 교육과정이 추구하는 방향성과 일치한다. 이에 본 연구는 특성화고등학교 입체조형 수업을 백워드 과정으로 설계함으로써 조형의 요소와 원리를 이해하고, 시각적·촉각적으로 재해석하여 재료의 다양한 방법을 통해 창의적으로 표현할 수업방안을 제안하고자 하였다. 이를 위하여 백워드 설계모형과 입체조형에 대한 이론적 고찰과 선행연구를 하고, 설문조사를 하여 입체조형 교육의 현황을 조사하였다. 이를 바탕으로 특성화고등학교 디자인과 2학년 학생을 대상으로 7단계로 구성된 ‘조형원리를 이용한 입체 조명등 제작’ 수업을 시행하였으며, 수업 후 효과검증을 위해 수업참여 학생들을 대상으로 5점 척도로 설문조사를 진행하였다. 그 결과, 만족도 평균 4.1, 난이도는 3.96, 적합성 등의 유익함은 3.95로 전반적인 수업의 만족도가 높았고 수업과정과 결과물도 만족스러운 수준으로 효과성을 입증하였다.Backward design the purpose and evaluation of learning are planned in advance and then the learning process and evaluation is performed think considers to learn main concept by permanent understanding and transfer it to other subject or life as a core principle. It is correspond with the direction of revised education course of 2015 pursuing creative and fusion person of talent and strengthen the ability meets it. So, the class plan expressing creatively through various method of three dimensional materials by visual and tactile reinterpretation understanding the element and principle of the design by designing the three dimensional design class in specialized high school as backward course is suggested. To achieve this, the theoretical consideration and advanced research for backward design and three dimensional design is performed and researched the state of three dimensional design education by the survey. Based on it, Three dimensional lighting production using design principle composed with 7 steps to the 2nd year students of design department of specialized high school was performed and processed the survey with five-point scale to the students participated the class to verify the effect after the class. As the result, overall satisfaction of the class was high with 4.1 in average satisfaction, 3.96 in level of difficulty and 3.95 in the usefulness such as suitability and proved the effectiveness of class process and result as satisfactory.
Optimizing Federated Queries Based on the Physical Design of a Data Lake.

The optimization of query execution plans is known to be crucial for reducing the query execution time. In particular, query optimization has been studied thoroughly for relational databases over the past decades. Recently, the Resource Description Framework (RDF) became popular for publishing data on the Web. As a consequence, federations composed of different data models like RDF and relational databases evolved. One type of these federations are Semantic Data Lakes where every data source is kept in its original data model and semantically annotated with ontologies or controlled vocabularies. However, state-of-the-art query engines for federated query processing over Semantic Data Lakes often rely on optimization techniques tailored for RDF. In this paper, we present query optimization techniques guided by heuristics that take the physical design of a Data Lake into account. The heuristics are implemented on top of Ontario, a SPARQL query engine for Semantic Data Lakes. Using source-specific heuristics, the query engine is able to generate more efficient query execution plans by exploiting the knowledge about indexes and normalization in relational databases. We show that heuristics which take the physical design of the Data Lake into account are able to speed up query processing.
A critical criticism on prison alternative service legislation by ministry of Defence and the necissity of scientific correctional mission

헌법재판소가 2018년 6월 28일에 양심적 병역거부사건과 관련하여 이를 대체 복무에 관한 입법을 주문하는 결정을 내리게 되자 정치권과 시민단체 등을 포함한 각계에서 대체복무제의 방향에 대한 치열한 논쟁이 진행되고 있다. 정부도 2018년 12월 28일 교정시설에서 대체복무를 하게 하는 대체복무법률안(교정대체 복무법률안)을 입법예고하였다. 따라서 본 논문에서는 헌재의 결정 이후 진행되고 있는 대체복무제의 주요 쟁점에 대한 논쟁을 소개하고 난 뒤에 이에 대한 독창적 비판을 기술하였다. 아울러 정부의 입법예고안의 내용과 문제점 및 개선방 안을 제시하여 기존의 논쟁들과 정부의 입법예고안이 간과한 새로운 관점과 내용을 제시하고 특정종교의 대체복무로 인하여 개신교적 입장에서 과학적 교정선교의 필요성을 제시하였다. 결론으로 교도소 대체복무제도의 나아갈 방향으로 복지적 교정대체복무이념, 민주적 교정대체복무이념, 생산적 교정대체복무이념, 균형적 교정대체복무이념과 그 실천방안을 학제적 접근으로 독창적으로 제시하였다.There is a fierce debate going on in all walks of life about korean desirable alternative service to korean military service after korean constitutional court made a decision to order legislation about alternative service to korean military service related to conscientious objection against forcible korean military service 2018.6.28. Therefore, ministry of Defence has announced the legislation about korean prison alternative service against forcible korean military service 2018.12.28. Therefore I asserted my original critical view about legislation about korean prison alternative service after introducing diverse arguments on an issues about alternative service to korean military service related to conscientious objection by all walks of life. I showed my original opion about new views which exisisting arguments on an issues about alternative service and ministry of Defence on legislation about korean prison alternative service have passed over and asserted desirable improvements about prison alternative service legislation by ministry of Defence. In conclusion, I asserted my original view about prison alternative service idealogy which was involved welfare, democratic, effective, and balanced prison alternative service ideology through the interdisciplinary method.
Artificial intelligence for maneuver and mobility (AIMM) essential research project (ERP) (Conference Presentation)

The future operational environment will be contested in all domains in an increasingly lethal and expanded battlefield, conducted in complex environments against challenged deterrence. In order to prevail in the Multi-Domain Operations (MDO) phases of dis-integration, exploitation, and re-entry to competition, the Army will need to employ teams of highly-dispersed warfighters and agents (robotic and software), to include Robotic Combat Vehicles (RCVs). To operate as a high-functioning team, Soldiers will need to be able to coordinate with RCVs as if they were teammates (i.e. fellow Soldiers) rather than tools (i.e. tele-operated robots capable of performing limited tasks). To enable this human-agent teamwork, the Artificial Intelligence for Maneuver and Mobility (AIMM) Essential Research Project (ERP) aims to revolutionize AI-enabled systems for autonomous maneuver that can rapidly learn, adapt, reason, and act in MDO. The program is divided into two main Lines of Effort (LoE): Mobility, and Context-Aware Decision Making (CADM). The Mobility LoE is focused on developing resilient autonomous off-road navigation for combat vehicles at operational speed that can autonomously move to a position of advantage. The CADM LoE is focused on enabling autonomous systems to reason about the environment for scene understanding with the ability to incorporate multiple sources of information and quantify uncertainty. Ultimately, the Mobility and CADM LoE's will culminate in autonomous maneuver-the ability of unmanned vehicles to autonomously maneuver on the ground against a near-peer adversary within the Multi-Domain Operations (MDO) battlespace. This capability will enable autonomous vehicles to team with Soldiers more seamlessly (reducing Soldier cognitive burden); conduct reconnaissance to develop the enemy situation at standoff (creating options for the commander); and enabling the next generation of combat vehicles to fight and win against a near-peer adversary.
A Study of Hand Gesture Segmentation Techniques for Sign Languages

This paper presents about an overview on several methods of segmentation techniques for hand gesture recognition. Hand gesture recognition has evolved tremendously in the recent years because of its ability to interact with machine. Mankind tries to incorporate human gestures into modern technologies like touching movement on screen, virtual reality gaming and sign language prediction. This research aims towards employed on hand gesture recognition for sign language interpretation as a human computer interaction application. Sign Language which uses transmits the sign patterns to convey meaning by hand shapes, orientation and movements to fluently express their thoughts with other person and is normally used by the physically challenged people who cannot speak or hear. Automatic Sign Language which requires robust and accurate techniques for identifying hand signs or a sequence of produced gesture to help interpret their correct meaning. Hand segmentation algorithm where segmentation using different hand detection schemes with required morphological processing. There are many methods which can be used to acquire the respective results depending on its advantage.
USING SCHOOLOGY APPLICATION TO IMPROVE THE DESCRIPTIVE TEXT WRITING SKILL OF THE TENTH GRADERS OF SMA MUHAMMADIYAH 1 MUNTILAN IN THE SCHOOL YEAR OF 2018/2019

Abstract In teaching English, there are four language skills. They are listening, speaking, reading, and writing. Writing is one of the important skills in teaching English. However, the tenth graders of SMA Muhammadiyah 1 Muntilan in the school year of 2018/2019 still got difficulties in writing, especially in writing descriptive text. It was caused by the students’ low motivation in learning writing and the monotonous media that are used by the teacher. There are two objectives of this research. First, to know whether or not there is any improvement of the descriptive text writing learning motivation taught by using Schoology Application. Second, to know how great is the improvement of the students’ descriptive text writing skill taught by using Schoology Application. The writer conducted a classroom action research. The subject of this research was X IPS 2 of SMA Muhammadiyah 1 Muntilan in the school year of 2018/2019. The writer used test and non-test (observation sheet, questionnaire, and documentation) to collect the data. The writer used qualitative and quantitative data as the technique of analyzing data. The observation percentage in Pre-Cycle is 49.30% and it becomes 79.86% in Cycle II. The total improvement is 30.56%. In Pre-Cycle test, the average score of writing descriptive text is 62.75. After the writer used Schoology Application as media, the students average score in Cycle I is 66.78 while in Cycle II is 78.06. Overall the total improvement from Pre-Cycle test to Cycle II test is 15.31 points. Keywords: Descriptive Text, Schoology Application, Writing Skill.
A High-Speed Constant-Time Hardware Implementation of NTRUEncrypt SVES.

In this paper, we present a high-speed constant-time hardware implementation of NTRUEncrypt Short Vector Encryption Scheme (SVES), fully compliant with the IEEE 1363.1 Standard Specification for Public Key Cryptographic Techniques Based on Hard Problems over Lattices. Our implementation follows an earlier proposed Post-Quantum Cryptography (PQC) Hardware Application Programming Interface (API), which facilitates its fair comparison with implementations of other PQC schemes. The paper contains the detailed flow and block diagrams, timing analysis, as well as results in terms of latency (in clock cycles), maximum clock frequency, and resource utilization in modern high-performance Field Programmable Gate Arrays (FPGAs). Our design takes full advantage of the ability to parallelize the major operation of NTRU, polynomial multiplication, in hardware. As a result, the execution time bottleneck shifts to the hash function, SHA-256, which is sequential in nature and as a result cannot be easily sped up in hardware. The obtained FPGA results for NTRU Encrypt SVES are compared with the equivalent results for Classic McEliece, a competing, well-established Post-Quantum Cryptography encryption scheme, with a long history of unsuccessful attempts at breaking. Our code for NTRUEncrypt SVES is being made open-source to speed-up further design-space exploration and benchmarking on multiple hardware platforms.
Crypto assets: the role of ICO tokens within a well-diversified portfolio

This paper reexamines the discussion on blockchain technology, crypto assets and ICOs, providing also evidence that in crypto markets there are currently two classes of assets, namely standalone cryptocurrencies (or 'coins') and tokens, which result from an ICO and are intrinsically linked to the performance of the issuing company or venture. While the former have been arguments of various empirical studies regarding their price dynamics and their effect on the variance of a well-diversified portfolio, no such study has been done to analyze listed tokens, which in our sample are over 700 and with a backing of about $17.3Bn from their respective ICOs. Therefore, investors interested in optimizing their portfolios should first assess the diversifier, hedge or safe haven role of tokens vis-a-vis traditional assets, on top of 'coins', in order to sensibly use this new asset class. After constructing various indices to represent both the token asset class as a whole and its sub-classes, we model dynamic conditional correlations among all the assets in our sample to obtain time-varying correlations for each token-asset pair. We find that tokens are effective diversifiers but not a hedge or a safe haven asset. We evidence that tokens retain important systematic differences with the two other asset classes to which they are most generally compared to, namely 'coins' and equities.