Reviewerly/exHarmony huggingface dataset:
A Study on the Teaching of Korean Writing based on Phonological Knowledge

【초록】이 연구의 목적은 한글 교육의 변화를 위한 기초 논의 과정으로서 음운 지식을 기반으로 하여 한글 쓰기 지도 방법을 개선하는 데 있다. 이를 위해 한글 쓰기에서 음운 지식의 개념과 교육적 가치를 고찰한 후, 음운 지식을 계열화하고 한글 쓰기 지도 절차의 변화를 통해, 한글 쓰기 지도의 개선 방법을 모색하였다. 그동안 한글 쓰기는 교사가 발음하는 음성 언어를 듣고 학습자가 인식한 음운과 자소를 대응하는 방법으로 이루어짐으로써 단편적인 한글 지식의 암기와 재인의 한계를 벗어나지 못하였다. 이 결과로 한글 쓰기에 대한 문제가 지속적으로 지적되어 왔을 뿐만 아니라 공교육 정상 화를 통한 선행학습 근절의 일환으로 1학년 1학기의 받아쓰기를 제한하기에 이르렀다. 한글 쓰기는 기초 문식성 신장을 위해 대단히 중요한 교육 활동이 다. 이에 따라 2015 개정 교육과정에서 지향하는 바와 같이 상위 인지 능력을 신장하고 탐구 능력을 길러주기 위해서는 음운 지식과 학습 전략을 계열 화할 뿐만 아니라 ‘듣기-음운 인식-자소대응-점검-쓰기’의 절차를 ‘읽기-점 검-쓰기-발음-자소대응’으로 변화시킴으로써 한글 쓰기 지도 방법을 개선할수 있다.The purpose of the study is to improve the Korean writing teaching method. Traditionally Korean writing classes have used the dictation of enunciating each word by a teacher. Due to this, Korean writing classes have become repetitive and ineffective, so the teaching method of writing Korean should be changed. First, the sequence of phonological knowledge should be considered, and the procedure for writing Korean should also be changed. In a phonological knowledge, Declarative knowledge and Procedural knowledge should be reorganized by the Sequence. Also, the order of Korean writing should be changed from ‘listening-phonemic recognition-Grapheme&#65381;Phoneme Correspondence-adjustment-writing’ to Reading-adjustment-writing-Pronunciation-Grapheme&#65381;Phoneme Correspondence’. This writing activity is more effective for learners, and the meta cognitive skill and inquiry skills will be improved.
Legal perspectives on cybercrime

Legal perspectives on cybercrime are drawn from international agreements such as the Council of Europe’s Convention on Cybercrime, domestic legislation and case law. Unauthorised access, modification and impairment of data and systems are criminalised as a means of protecting against attacks by ‘hackers’ and other interferences that undermine access, availability and the integrity of information and communications networks. Similarly, cybercrime laws extend to the creation and distribution of malicious software or ‘malware’, and the use of ‘botnets’ to commit other crimes. Cybercrime laws also incorporate the traditional offences of forgery and fraud, as well as newer offences relating to identity theft. Other crimes against the person that may be committed online include child pornography, child grooming, cyber stalking and harassment, and legislatures have responded to these crime types with new or updated offences. Finally, a range of procedural laws have been enacted to facilitate the investigation, prosecution and sentencing of cyber criminals.
A summary of the third workshop on theory-informed user modeling for tailoring and personalizing interfaces

The third workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE) 1 took place in conjunction with the 24th annual meeting of the intelligent user interfaces ...
Efficient Fully Secure Leakage-Deterring Encryption

Encryption is an indispensable tool for securing digital infra-structures as it reduces the problem of protecting the data to just protecting decryption keys. Unfortunately, this also makes it easier for users to share protected data by simply sharing decryption keys. Kiayias and Tang (ACM CCS 2013) were the first to address this important issue pre-emptively rather than a posteriori like traitor tracing schemes do. They proposed leakage-deterring encryption schemes that work as follows. For each user, a piece of secret information valuable to her is embedded into her public key. As long as she does not share her ability to decrypt with someone else, her secret is safe. As soon as she does, her secret is revealed to her beneficiaries. However, their solution suffers from serious drawbacks: (1) their model requires a fully-trusted registration authority that is privy to user secrets; (2) it only captures a CPA-type of privacy for user secrets, which is a very weak guarantee; (3) in their construction which turns any public-key encryption scheme into a leakage-deterring one, the new public keys consist of linearly (in the bit-size of the secrets) many public keys of the original scheme, and the ciphertexts are large. In this paper, we redefine leakage-deterring schemes. We remove the trust in the authority and guarantee full protection of user secrets under CCA attacks. Furthermore, in our construction, all keys and ciphertexts are short and constant in the size of the secrets. We achieve this by taking a different approach: we require users to periodically refresh their secret keys by running a protocol with a third party. Users do so anonymously, which ensures that they cannot be linked, and that the third party cannot perform selective failure attacks. We then leverage this refresh protocol to allow for the retrieval of user secrets in case they share their decryption capabilities. This refresh protocol also allows for the revocation of user keys and for the protection of user secrets in case of loss or theft of a decryption device. We provide security definitions for our new model as well as efficient instantiations that we prove secure.
Chinese Named Entity Recognition Augmented with Lexicon Memory

Inspired by the concept of content-addressable retrieval from cognitive science, we propose a novel fragmentbased Chinese named entity recognition (NER) model augmented with a lexicon-based memory in which both characterlevel and word-level features are combined to generate better feature representations for possible entity names. Observing that the boundary information of entity names is particularly useful to locate and classify them into pre-defined categories, position-dependent features, such as prefix and suffix, are introduced and taken into account for NER tasks in the form of distributed representations. The lexicon-based memory is built to help generate such position-dependent features and deal with the problem of out-of-vocabulary words. Experimental results show that the proposed model, called LEMON, achieved state-of-the-art performance with an increase in the F1-score up to 3.2% over the state-of-the-art models on four different widely-used NER datasets.
Formative Assessment of Future Teachers’ Cognitive Activity In The Process of Solving Problems Within Math Courses

A system of criteria for evaluating the solution of problems from the subject area while training future teachers of mathematics is described. The criteria are formulated in terms of activities and are aimed at strengthening the professional component of the process of mastering mathematical disciplines. Using this system of forming criteria in the study of basic structures of calculus is proposed.
Phase extraction method with spatial-temporal fringe

Phase extraction technology is widely used in interferometry, structured light 3D vision Sensor and phase deflection measurement. However, in the process of application, the accuracy of phase extraction is often reduced by various disturbances. For example, the high frequency noise in speckle interferometry, nonlinear effects in CCD detectors and Gamma effects in projection or display devices. This paper mainly introduces a method of constructing a picture of spatial-temporal fringes(STF) by phase-shifting fringe patterns. The method combines the N step phase-shifting fringe patterns into a STF pattern that contains both temporal information and spatial information. Then, the phase of original fringe patterns can be obtained by STF pattern. In addition, simulation experiments are carried out to verify the ability of phase extraction of STF pattern to suppress random noise and harmonics. This method will provide useful reference for practical engineering application.
LibGuides: Children Literature Genres: Picture Books

This guide will help readers, educators, and parents identify common children literature genres so that the reading experience can be diversified by genre or to help readers figure out what genre they enjoy reading.
Texture Feature Extraction to Improve Accuracy of Malignant and Benign Cancer Detection on CT-Scan Images

Lung cancer is a type of lung disease characterized by uncontrolled cell growth in lung tissue. Whereas nodules (benign cancer) are small, round or egg-shaped lesions in the lungs. The current method used to diagnose lung cancer from CT scan images is by observing a data set of 2-D CT Scan images using naked eye, then interpreting data one by one. This procedure is certainly not effective. Research conducted aims to extract texture features to improve accuracy of malignant and benign cancers detection in CT scans. This research covers 5 (five) main points. First is pre-processing CT-Scan images. The second is automatic segmentation of lung area using Active Appearance Model (AAM) method. Third is segmentation of candidates who are considered cancer using morphological mathematics. Fourth, process of detecting benign and malignant lung cancer using Support Vector Machine (SVM). Fifth is visualization of malignant and benign lung cancer using Volume Rendering. Accuracy of malignant and benign cancers detection is 79.7%
Object Detection and Recognition in Unstructured Outdoor Environments

Computer vision and machine learning based systems are often developed to replace humans in harsh, dangerous, or tedious situations, as well as to reduce the required time to accomplish a task. Ano ...
THE USE OF BUSINESS SIMULATION GAMES IN HIGHER EDUCATION: LEARNING EXPERIENCE AND PERFORMANCE

C. Segovia-LópezG.M. Marín-CarrilloM. Sánchez-PérezE. Sáez-GonzálezM.A. Iniesta-BonilloM.B. Marín-Carrillo
Atlas.ti Data Curation Primer

This work was created as part of the Data Curation Network “Specialized Data Curation” Workshop #2 held at Johns Hopkins University April 17-18, 2019.
Design of Michelson Experiment Instrument Based on Embedded System

This paper studies the working principle and test method of Michelson interferometer. Designed an automatic experimental device for Michelson interferometer based on ARM microcontroller stm32. The real-time operating system "µC/OS-II" and the graphical user interface system "µC/GUI" were ported on the STM32 controller. Real-time acquisition of experimental data by motor-driven equipment, and automatic filtering through software filtering. This paper first gives the basic principles of Michelson’s interference experiment. Then detailed the hardware and software design of the system. Finally, the actual experimental results are given to verify the practicability and superiority of the design.
Tensor Completion Algorithms in Big Data Analytics

Tensor completion is a problem of filling the missing or unobserved entries of partially observed tensors. Due to the multidimensional character of tensors in describing complex datasets, tensor co...
A Study on Writing of Convergence and Integration Utilizing Big Data

Convergence, integration and big data have recently become hot topics in colleges. Convergence and integration are a demand of the times, and big data has pushed the boundaries. Therefore, the issue of how to combine them within college writing has become a major concern. Convergence and integration function as an open tools that presupposes interdisciplinary consideration, communication, and consensus, and the discussions derived are aimed at creation, innovation, and value creation as practical and creative outcomes. Writing using big data serves as a practical mechanism for highlighting communication and rationality in such processes. Writing of convergence and integration using big data provides the opportunity to simultaneously check the data that has not been obtained so that humanity can secure space for more empirical research results from the statistics and probabilities. On the dimensional level, the field of science and engineering is recognized as being practical in that it can construct rational products from humanistic perspectives based on the data accumulated in large quantities. Therefore, writing materials of convergence and integration using big data require the following items. First, there is a need for a code of writing ethics in preparation for the fourth industrial revolution era. Second, a sufficient understanding of big data analysis methods is required. Third, there should be a practical foundation for writing of convergence and integration using big data in relation to the second item. Fourth, information gathering process and procedures should be reflected. Fifth, the thinking system and the contents that can achieve practical integration, generalization, and mastery should be dealt with.
Visitor Detection and Following Algorithm using Environmental Map

We have been developing a guidance robot “EM-Ro” that works in ECO35 muffler museum. EM-Ro has already succeeded in taking visitors in ECO35 muffler museum autonomously and describing display items by voice sound. In this paper, visitor detection and autonomous following algorithm using an environmental map, as an optional function, was developed successfully. This visitors-following algorithm was used only by 2D LIDAR and didn’t need to change drastically an autonomous traveling system that we have developed. The experimental results showed that EM-Ro could follow visitors smoothly, and re-detect visitors even when entering in its blind spot.
Fracture zone prediction based on structure curvature attribute analysis in Block Y7 of T basin

PreviousNext No AccessSEG 2019 Workshop: Fractured Reservoir & Unconventional Resources Forum: Prospects and Challenges in the Era of Big Data, Lanzhou, China, 1–3 September 2019Fracture zone prediction based on structure curvature attribute analysis in Block Y7 of T basinAuthors: Xinguo Bai*Hong ChenShidong LiKun LiMengru ChenXiaocheng GaoXiaojun ZhongXinguo Bai*Huabei Oilfield CompanySearch for more papers by this author, Hong ChenHuabei Oilfield CompanySearch for more papers by this author, Shidong LiHuabei Oilfield CompanySearch for more papers by this author, Kun LiHuabei Oilfield CompanySearch for more papers by this author, Mengru ChenHuabei Oilfield CompanySearch for more papers by this author, Xiaocheng GaoHuabei Oilfield CompanySearch for more papers by this author, and Xiaojun ZhongHuabei Oilfield CompanySearch for more papers by this authorhttps://doi.org/10.1190/frur2019_24.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract In T basin, most of reservoir has a characteristic of fracture. Fracture reservoir has very high anisotropy. And the development of fractures seriously affect the oil field development. Hence, accurately determining the characteristics of fractures is essential in oil reservoir development and well drilling in limestone reservoir. In this study, structure curvature attribute analysis was implied in Block Y7 in T basin to predict fracture zone. The results showed that fractures induce lower value of seismic curvature than that of faults. Fractures, which have a regular direction, always are smaller than faults in scale both in horizontal and vertical direction. Interpretation results of EMI logging from 3 wells was applied for evaluating the fracture prediction. Interpretation results of EMI logging and seismic curvature attribute analysis showed a high coherence. Also the prediction result was confirmed by production data. Keywords: fractures, anisotropy, pre-stack, attributes, wellsPermalink: https://doi.org/10.1190/frur2019_24.1FiguresReferencesRelatedDetails SEG 2019 Workshop: Fractured Reservoir & Unconventional Resources Forum: Prospects and Challenges in the Era of Big Data, Lanzhou, China, 1–3 September 2019ISSN (online):2159-6832Copyright: 2019 Pages: 120 publication data© 2019 Published in electronic format with permission by the Society of Exploration Geophysicists and the Research Institute of Petroleum & Development-Northwest (NWGI), PetroChinaPublisher:Society of Exploration Geophysicists HistoryPublished Online: 24 Dec 2019 CITATION INFORMATION Xinguo Bai*, Hong Chen, Shidong Li, Kun Li, Mengru Chen, Xiaocheng Gao, and Xiaojun Zhong, (2019), "Fracture zone prediction based on structure curvature attribute analysis in Block Y7 of T basin," SEG Global Meeting Abstracts : 88-90. https://doi.org/10.1190/frur2019_24.1 Plain-Language Summary Keywordsfracturesanisotropypre-stackattributeswellsPDF DownloadLoading ...
A Development of the Health Care Monitoring System

This paper discussed the health care monitoring system for the elderly persons at a nursing home. We developed the health care monitoring system which is composed of a microprocessor (Raspberry Pi) with a web camera, several vital sign sensors (Pulse rate, Temperature and Oxygen saturation) and a touch panel display. The system acquires the vital sign data of the elderly person and sends them to the external PC of the supervisor in order to manage the physical condition. The effectiveness of our system is clarified by several experiments.
Guides & Tutorials: Online Resources for Self-Directed English Language Learning: English Proficiency Tests

This guide will introduce various useful resources for self-directed English language learning.
Use of Social Media in Marketing of Library Information Services in Polytechnic University of the Philippines

Thisresearch paper is focused on investigating the present status, problems encounteredby students in utilizing social media libraries, their opinions forimprovement, the purpose, and the importance of using social media in marketingof library resources and services in Polytechnic University of the Philippines.Three hundred thirty-seven (337) selected students from the College of BusinessAdministration participated to be the respondents of this study. The findingsof this paper showed that using social media to market the library resourcesand services is effective, thus should be used to reach the wider audience andlibrary users. The selected respondents can be reached electronically throughsocial media platforms that they mostly use such as: Facebook, Google+, and Youtube. With all ofthis, the selected students from the College of Business Administration of thePolytechnic University of the Philippines have a significant relationship fromtheir overall satisfaction to the library resources and services.
Library Research Guides: M402: Podcast Project: Library take-home worksheet

This guide will assist Mus-M402 (Phil Ford) students with finding information needed for the Podcast project
LibGuides: World Bank Group Information Research Guide: Multimedia & Social Media

Helping people find information about and by the World Bank Group. Find videos, pictures, infographics, and source code. Follow the WBG!
The Application of Communicative Language Teaching Method in Vocabulary Teaching

Abstract: Since young learners have special characteristics in learning a foreign language, teachers have to create an interesting method in teaching English especially vocabulary. One of the methods usually used in teaching vocabulary is Communicative Language Teaching (CLT). The objective of the research is to know how to teach vocabulary using pictures and games in the CLT method, to investigate the advantages of teaching English vocabulary through pictures and games in CLT method, as well as to investigate the problems that occurred in teaching and learning process. The method used in this study is action research with 30 participants. The researcher collected the data by having observation, conversation, and interview. In delivering materials there are three necessary elements, those are engaged, study, and activate stage. The result shows that all the students gave positive responses to the use of pictures and games in vocabulary learning. They felt that pictures and games in the CLT method could help them understand the word meaning more easily and motivate them to learn vocabulary since the classroom activities were more interesting. Besides, this method also helped the students to pronounce each word correctly. However, there are some problems, such as the students usually feel bored when they only have one discussion for a long time. When the students have never heard of the word before, the teacher must explain it to them first. Besides, the class could be crowded and noisy.
Library Guides: Undergraduate Research Workshop Series at Berks: Citation Management Tools

Workshop series to prepare for the HECBC Undergraduate Research & Creativity Conference (or any other conference)
Performance Improvement of Recommender Hybrid Techniques Using GRU for Rating Calculation

The recommender system has gained attention in the past few years, because it can provide benefits for both the owner of the company and the user to get relevant items quickly. Collaborative filtering is the most commonly used recommender system method because of several advantages. However, collaborative filtering still has several issues such as cold start, sparse data, gray sheep and dynamic taste. Many studies have tried to accomplish these issues with various approaches. In general, the approach used is hybrid technique to cover the weaknesses of each other. One study has tried to accomplish these issues using a 7 block hybrid technique approach. However, the study has problem when dealing with reviews with varying length of sentences (from very short to very long) for calculating ratings, hence it can reduce the overall quality of the recommender system. This paper aims to propose another approach in calculating rating using gated recurrent unit (GRU) and it will be combined with other blocks of hybrid technique. In addition, new blocks will be added, namely demographic filtering. Based on the results obtained, the proposed method provides better results compared to method of previous study.
DEVELOPMENT OF POETRY TEACHING MATERIALS BASED ON CREATIVE PROCESS

This study aims to overcome the problem of the quality of Indonesian language learning outcomes in high schools (SMA), especially the topic of poetry texts which are still low. The results of this study are intended to assist the government in improving the quality of the implementation of the 2013 curriculum at the high school level. The weakness of applying the 2013 curriculum is the limitations of teaching materials, including poetry text teaching materials. Learning this material is expected to encourage students to express their thoughts, feelings, and ideas through beautiful, rhythmic language, literary values but not offending others. The method used in this research is research and development with five selected literary writers who are productive in producing poetry texts. Next, in testing the developed teaching material, students from SMA Negeri 1 Manonjaya Tasikmalaya were chosen. Teaching material developed based on the poet's creative process in producing literary works of poetry text is combined with the composition of basic competencies based on the curriculum with scientific presentation. Teaching material which is evaluated based on content, presentation, language, and graphic criteria by academics and practitioners meets the eligibility criteria as teaching material in high school. Based on the testing of the application of teaching materials, it was found that the teaching materials were able to encourage students to produce quality poetry texts. Indonesian Language learning also takes place effectively in achieving goals. DOI : 10.24071/ijiet.2020.040113