Reviewerly/exHarmony huggingface dataset:
Analysis of Media Needs of Health and Safety Learning Based on Android Smartphone for Students

In order to help teaching and learning activities in order to achieve learning objectives, learning media that are needed according to the needs and demands of the times are needed. Therefore we need a study that examines the needs of learning media. This study aims to determine the needs of health and safety learning media design that will be used in the learning process. The research sample is students of Mechanical Engineering Education Study Program, Faculty of Engineering, Yogyakarta State University selected based on stratified random sampling. Data obtained from questionnaires were then analyzed using quantitative analysis techniques with a percentage scale. The findings in this study are: (1) students prefer learning health and safety using image media with the acquisition of 77.8%, (2) students prefer exposure to occupational health and safety material divided into chapters with the acquisition of a score of 55.6%, (3) students prefer occupational health and safety media with background images and bright colors, (4) students prefer occupational health and safety learning that can be accessed on smartphones with 77.8% gain, and (5) students expect health and safety learning Android smartphone-based work can implement emergency features with 66.7% acquisition.
국어과 예비교사의 수업시연 자기성찰 보고서의 양상

The purpose of this paper is to analyze the aspects and content spread of the self-reflection report by pre-service Korean language teachers after their teaching rehearsal. This is to overcome the confusion and difficulties when they write self-reflection reports. First, the general patterns of the formal construction of self-reflection report appears in the order of ‘cover(abstract cover)-table of contents-introduction-main body-conclusion- reference’, and average quantity is about 6.5 in A4 standard. And, in the content spread aspect, 8 contents are developed individually in the introduction part. It shows that the self-reflection reports develop contents that show affective characteristics or academic characteristics according to the purpose of the reports. In addition, the contents of main body are analyzing the teaching rehearsal, as well as the pros and cons, problems and improvements. At this point, the study found those characteristics when they write self-reflection reports, which are spreading the contents according to certain standards, writing reports depending on feedbacks by the instructor and imitating or modifying the former researches of the instructor. Finally, in the conclusion part, as in the introductory part, the contents related to ‘feelings and plans’ are described in the articles of affective characteristics, and the contents related to ‘summary and expectation effects’ are written in the articles of academic characteristics.
텍스트 마이닝을 통해 살펴본 청소년의 한복 인식

Recently, young people wearing hanbok are highly visible in the palace and in Hanok Village. However, there is much controversy regarding whether the hanbok the young people are wearing is traditional. Young people in Korea are exposed to hanbok through a variety of ways such as school education, games, webtoons, television shows, and movies. In this study, we presented teenagers with illustrations of hanbok to see which they preferred and which if any they recognized as traditional. The study respondents most preferred the hanbok from the 18th century, but they considered the hanbok from the 20th century to be the traditional style. We next used text mining to analyze the students’ freely written, open-ended responses regarding the hanbok they preferred and the one they considered traditional. The hanbok from the 18th century, the one the teenagers preferred, was a sexy, cool style related to gisaeng that emphasized the waist, whereas the hanbok they believed was traditional, the 20th-century hanbok, was simple, neat, comfortable, and plain. Among the young people’s responses regarding which hanbok was traditional, the text mining extracted the following repeated words related to both the 18th- and 20th-century hanbok: “dramas,” “mass media,” “historical dramas,” and “movies.” For the 18th-century hanbok only, we extracted “webtoons” and “Hanok Village,” and for only the 20th-century hanbok, we extracted “textbooks.”
Dynamic analysis of the arbitrary position of a particle robot around an inclined pipe based on virtual joints

During the movement of a robot on the outside of a pipe, it either exhibits linear or rotating motion along the axis of the pipe. In this process, not only is there conversion between kinetic energy, potential energy, resistance power consumption, and external work, but there are also complex mechanical relationships that occur. To solve the dynamic problems of the out-pipe climbing robot in space, the axis and diameter of the pipe were simplified to the virtual joints of a robot with zero mass, and the virtual dynamic model of the robot in space has been established. According to the vector of the arbitrary position of a particle robot around an inclined pipe, combined with the improved Lagrange–Newton–Euler method, the system’s dynamic equation that includes friction has been established, and the required driving force for an arbitrary position of the robot in the process of circling an inclined pipe has been obtained.
Peningkatan Keaktifan dan Hasil Belajar Siswa Pada Materi Debit Melalui Pendekatan Saintifik Berbantukan Media Domino Cards Bagi Siswa Kelas V SD Negeri Srumbung 2 Tahun 19/2020

The purpose of this research is to improve learning activeness and learning outcomes of Mathematics subject on Debit material through a scientific approach assisted by Domino Cards media for the fifth grade students of SD Negeri Srumbung 2. This research is a classroom action research conducted for the reason of the low learning outcomes of discharge material proven by the pre test acquisition value. The study was conducted in two cycles, each cycle consisted of four stages, namely planning, implementing, observing, and reflecting on observations. The data were obtained in the form of observations of the activities and test values in the first cycle, and the results of observing the activities and test values in the second cycle. The results of this study showed that there was increase in student activity of 62.5% in the first cycle to 90.31% and learning outcomes that exceeded 60% completion in the first cycle to 90% in the second cycle. Theoretically and empirically, scientific approach using Domino Cards Game can increase learning activeness and learning outcomes of Mathematics subject on Debit material for the fifth grade students in SD Negeri Srumbung 2.
Self-propagating video segmentation using patch matching and enhanced Onecut

In this paper, a self-propagating video segmentation approach based on patch matching and enhanced Onecut is proposed, which takes full advantage of the target’s color feature, shape feature, and motion information. Firstly, an interactive key frame segmentation is performed to obtain the accurate initial contour of target. Secondly, some sampling patches are uniformly selected along the target contour of previous frame to initialize the localized classifiers. Afterwards, the patch matching is used to pass this contour to the current frame. Simultaneously, the localized classifiers are moved to current frame similarly, and their corresponding positions and parameters are also updated. Eventually, the foreground and background probability maps of current frame are calculated through the localized classifiers as well as global probability models, and then the enhanced Onecut model is constructed to obtain its segmentation result. Compared with the state-of-the-art video segmentation methods, our proposed approach performs outstandingly on the DAVIS dataset.
Electroacoustic Works

January 01 2019 Electroacoustic Works Electroacoustic Works. By Clemensvon Reusner. Ross Feller Ross Feller Gambier, Ohio, USA Search for other works by this author on: This Site Google Scholar Author and Article Information Ross Feller Gambier, Ohio, USA Online Issn: 1531-5169 Print Issn: 0148-9267 © 2019 Massachusetts Institute of Technology.2019Massachusetts Institute of Technology Computer Music Journal (2019) 43 (1): 79–87. https://doi.org/10.1162/comj_r_00503 Cite Icon Cite Permissions Share Icon Share Facebook Twitter LinkedIn MailTo Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Ross Feller; Electroacoustic Works. Computer Music Journal 2019; 43 (1): 79–87. doi: https://doi.org/10.1162/comj_r_00503 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsComputer Music Journal Search Advanced Search This content is only available as a PDF. © 2019 Massachusetts Institute of Technology.2019Massachusetts Institute of Technology Article PDF first page preview Close Modal You do not currently have access to this content.
PERANCANGAN SISTEM INFORMASI INFENTARIS SPAREPART HANDPHONE BERBASIS PHP DAN MYSQL DI PLANET PHONE

Research that the author did aim to know how to design inventory system on Planet Phone.The method used is quantitative descriptive method. Data collection techniques used are literature study, observation, and interviews.&#x0D; From the research conducted found that there is a problem on inventory data processing. The process of inventory data processing only by writing using a general ledger. So this causes inaccuracies and delays in reports. Therefore the authors make the information system by using PHP and MySQL database. This system consists of inputting inventory data, inventory reports, sales reports and income reports.&#x0D; As for some suggestions given to tackle the problem is by connecting the system with internet connection, for employees more quickly and effectively in penginputan inventory data and owner can also know the sales reports and income reports more quickly without having to come directly to the store.
Natural scene text localization using edge color signature

Localizing text regions in images taken from natural scenes is one of the challenging problems dueto variations in font, size, color and orientation of text. In this paper, we introduce a new concept socalled Edge Color Signature for localizing text regions in an image. This method is able to localizeboth Farsi and English texts. In the proposed method rst a pyramid using different scales of theinput image is created. Then for each level of the pyramid an edge map is extracted. Afterward,several geometric features are employed to lter out the non-text edges from the extracted edges.At this stage we describe an edge using colors of its neighboring pixels. We use the mean-Shiftalgorithm to obtain the color modes surrounding each edge pixel. Subsequently, the connectededge pixels with similar color signatures are clustered using Single-Linkage clustering algorithm toconstruct meaningful groups. Finally, each of the clusters is labeled as text or non-text using anMLP based cascade classier. The proposed method has been evaluated on well-known ICDAR 2013and our Farsi dataset, the result is very promising.
THE PACKS OF PICTURE - BASED LEARNING SOURCES OF THE BODY IMMUNITY SYSTEM MATERIAL PROCESS FOR IMPROVING STUDENTS LEARNING OUTCOMES AND HIGHER - ORDER THINKING SKILLS

17Dec 2019 THE PACKS OF PICTURE - BASED LEARNING SOURCES OF THE BODY IMMUNITY SYSTEM MATERIAL PROCESS FOR IMPROVING STUDENTS LEARNING OUTCOMES AND HIGHER - ORDER THINKING SKILLS Endang Widyaningrum , Sutarto , Jekti Prihatin and Indrawati Magister of Science Education, University of Jember, Indonesia Kalimantan Street No 37 Jember 68118
Deep ICE: A Deep learning approach for MRI Intracranial Cavity Extraction

Automatic methods for measuring normalized regional brain volumes from MRI data are a key tool to help in the objective diagnostic and follow-up of many neurological diseases. To estimate such regional brain volumes, the intracranial cavity volume is commonly used for normalization. In this paper, we present an accurate and efficient approach to automatically segment the intracranial cavity using a volumetric 3D convolutional neural network and a new 3D patch extraction strategy specially adapted to deal with the traditional low number of training cases available in supervised segmentation and the memory limitations of modern GPUs. The proposed method is compared with recent state-of-the-art methods and the results show an excellent accuracy and improved performance in terms of computational burden.
A Research on Study Skill of the Foreign Graduate Students - with the Concerning on Needs Analysis of the Learners and the Lecturers -

This research looks into the study skills overseas students in Korean graduate schools require , and provides the research results for future overseas graduate students and the institutions planning to design education programs for them. Preceding researches on the study skills that could be learned in Korean languages classes for academic purposes were examined, and, consequently, the study skills were classified depending on the different study situations. Further, the classifications were supplemented and corrected based on the results drawn from the preliminary questionnaires and interviews conducted. With the revised classifications, questionnaires were renewed, interviews redone, and the needs of the students and teachers analyzed. The final results were examined to redefine the required study skills for overseas graduate students in Korea—academic speaking, academic writing, academic reading, and academic listening. The conclusion of the research puts forward helpful and supplementary proposals for designing education programs for overseas graduate students.
Design and Practice Based on MOOC Mixed Teaching Mode

With the continuous popularization of the Internet in college education in China, more and more colleges and universities begin to participate in the construction of MOOC education. On the one hand, it is conducive to the further sharing and dissemination of excellent educational resources, which plays an important role in the teaching quality and cultural communication of colleges and Universities. On the other hand, MOOC is also a new way of learning for students. MOOC is universal and easy to operate, which can meet the personalized needs of students. Therefore, based on the analysis of the design of MOOC mixed teaching mode, this paper expounds the importance and guarantee content of MOOC mixed teaching mode, so as to provide effective promotion and reference for the development of China's higher education and MOOC mixed teaching mode.
Gated Object-Attribute Matching Network for Detailed Image Caption

Image caption enables computers to generate a text description of images automatically. However, the generated description is not good enough recently. Computers can describe what objects are in the image but cannot give more details about these objects. In this study, we present a novel image caption approach to give more details when describing objects. In detail, a visual attention-based LSTM is used to find the objects, as well as a semantic attention-based LSTM is used for giving semantic attributes. At last, a gated object-attribute matching network is used to match the objects to their semantic attributes. The experiments on the public datasets of Flickr30k and MSCOCO demonstrate that the proposed approach improved the quality of the image caption, compared with the most advanced methods at present.
Some properties of the cycle decomposition of WG-NLFSR

<p style='text-indent:20px;'>In this paper, we give some properties of the cycle decomposition of a nonlinear feedback shift register called WG-NLFSR which was presented by Mandal and Gong recently. First we give the parity of the state transition transformation of WG-NLFSR and then by the relation of the parity of a permutation and its number of cycles given in Theorem 2 in Section 1, we show that the number of cycles in the cycle decomposition of WG-NLFSR is even. Second we study the properties of the cycle decomposition of WG-NLFSR when the coefficients of the characteristic polynomial belong to the proper subfields of the finite field on which the WG-NLFSR is defined. Finally, we give some properties of the cycle decomposition of the filtering WG7-NLFSR.
Expecting the Unexpected: Developing Autonomous-System Design Principles for Reacting to Unpredicted Events and Conditions

When developing autonomous systems, engineers and other stakeholders make great effort to prepare the system for all foreseeable events and conditions. However, these systems are still bound to encounter events and conditions that were not considered at design time. For reasons like safety, cost, or ethics, it is often highly desired that these new situations be handled correctly upon first encounter. In this paper we first justify our position that there will always exist unpredicted events and conditions, driven among others by: new inventions in the real world; the diversity of world-wide system deployments and uses; and, the non-negligible probability that multiple seemingly unlikely events, which may be neglected at design time, will not only occur, but occur together. We then argue that despite this unpredictability property, handling these events and conditions is indeed possible. Hence, we offer and exemplify design principles that when applied in advance, can enable systems to deal, in the future, with unpredicted circumstances. We conclude with a discussion of how this work and a broader theoretical study of the unexpected can contribute toward a foundation of engineering principles for developing trustworthy next-generation autonomous systems.
Creating an Online Textbook Marketplace

This paper looks at a collaborative project â€“ between the University of Liverpool Library and the Liverpool Guild of Students â€“ to create an online textbook marketplace known as â€˜Pass the Bookâ€™. This partnership between the Guild of Students and the Library staff used new technologies to deliver a platform that benefits students and the Library, while reinforcing the good relationship we both enjoy. The aim of this service is to allow students to sell or give away their old textbooks to other students and, hopefully, to create a cyclical giving-and-receiving of core textbooks between them. The paper also looks at the formation of the project group, the construction and evolvement of the service and our learning experiences, all against the background of student fees.
A NooJ Tunisian Dialect Translator

The elaboration of a translator system from Arabic dialect to modern standard Arabic becomes an important task in Natural Language Processing applications in the last years. In this context, we are interested in building a translator from Tunisian dialect to modern standard Arabic. In fact, Tunisian dialect is a variant of Arabic as much as it differs from modern standard Arabic. Besides, it is difficult to understand for non-Tunisian people. Intending to elaborate our translator, we study many Tunisian dialect corpora to identify and investigate different phenomena such as Tunisian dialect word morphology and also Tunisian Dialect sentences. The proposed translation method is based on a bilingual dictionary extracted from the study corpus and an elaborated set of local grammars. In addition, local grammars are transformed into finite state transducers while using new technologies of NooJ linguistic platform. To test and evaluate the designed translator, we apply it on a Tunisian dialect test corpus containing more than 18,000 words. The obtained results are ambitious.
Guess First to Enable Better Compression and Adversarial Robustness

Machine learning models are generally vulnerable to adversarial examples, which is in contrast to the robustness of humans. In this paper, we try to leverage one of the mechanisms in human recognition and propose a bio-inspired classification framework in which model inference is conditioned on label hypothesis. We provide a class of training objectives for this framework and an information bottleneck regularizer which utilizes the advantage that label information can be discarded during inference. This framework enables better compression of the mutual information between inputs and latent representations without loss of learning capacity, at the cost of tractable inference complexity. Better compression and elimination of label information further bring better adversarial robustness without loss of natural accuracy, which is demonstrated in the experiment.
In the Ensemble with Technical Subjects

Introduction. The purpose of the paper is to test the hypothesis about the entry into the social interactions of actors of a special kind - devices with artificial intelligence. The author proposes to discuss a hypothesis about the emergence of a new species of a subject of artificial nature. The concept is based on the concepts developed by the author of a technosubject and a new kind of subjectivity. The character of a new type of interaction agent is analyzed, its varieties are revealed. Methodology and sources . When identifying signs of similarity between human and machine subjectivity, the author proceeds from interpretations of the subject and subjectivity in the works of G. Tononi, M. DeLanda, G. Deleuze, F. Guattari, S. Beskaravayny. The sources are the studies of T. Walsh, R. Brooks, D. Jordan, D. Markoff, R. Jonck, R. Kurzweil, A. Greenfield, K. Kelly, Sh. Turkle. The results of experiments on the construction of the social community of robots at the Kurchatov Institute and the Institute of Robotics at Carnegie Mellon University, the results of sociological studies of the nature of human relationships with robots carried out by Sherry Turkle from Massachusetts Institute of Technology are taken into account. Results and discussion . It is proved that human interaction with a techno-subject forms a special type of sociality - a hybrid society. The mechanism and features of social interactions in a hybrid type of society are revealed. The specificity of inter-actions arising between a person and various types of techno-subject is revealed. The process of the occurrence and occurrence of human anthropomorphic reactions to the activity of robots is analyzed. There is a transition from copying anthropomorphic features to devices with artificial intelligence to the formation of their subjectivity. The options for constructing human relationships with robots are considered. Conclusion. The conclusion is drawn that there is a high degree of likelihood of an increase in the future conflict between the two lines of improvement of androids based on the creation of a universal humanoid intelligence: strengthening or replacing a person. An alternative possibility of the third direction is considered: harmonization of relations between participants in a hybrid society.