• Title/Summary/Keyword: Scientific technology

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Development of Liberal Art and Natural Science Integration Computational Thinking Education Program Based on the IoT (IoT 기반의 문·이과 통합형 CT 교육 프로그램 개발)

  • Jeong, Sang-Mok;Shin, Soo-Bum;Yim, Taek-Kyun;Mun, Seong-Yun;Jeon, In-Seong
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.4
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    • pp.255-262
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    • 2019
  • The informatics curriculum which was revised in 2015 presents the growth of creative and convergent talents as a main goal, and what is essential in the growth of creative and convergent talents is Computational Thinking(CT). In this study, in line with the goal of the growth of creative and convergent talents, the subject of IoT technology and liberal arts and natural sciences integration course was combined with the contents of informatics textbook, and the teaching-learning program was developed. In order to verify the effect of the developed teaching-learning program, the experimental research was conducted, and as a result of study, the mean of the experimental group was 10 points higher than that of the control group. Therefore, it could be known that there was an effect in the teaching-learning program suggested in this study. It is expected that the teaching-learning program suggested in this study can induce the learning motive and interest in SW education by directly implementing SW skill to the various fields of a real life through CT education based on Iot as well as a programing language, and improve convergent and scientific thinking through the experience of solving the problems which are blended with many subjects through liberal arts and natural sciences integration course, and designing them creatively.

Exploring the Microbial Community and Functional Characteristics of the Livestock Feces Using the Whole Metagenome Shotgun Sequencing

  • Hyeri Kim;Eun Sol Kim;Jin Ho Cho;Minho Song;Jae Hyoung Cho;Sheena Kim;Gi Beom Keum;Jinok Kwak;Hyunok Doo;Sriniwas Pandey;Seung-Hwan Park;Ju Huck Lee;Hyunjung Jung;Tai Young Hur;Jae-Kyung Kim;Kwang Kyo Oh;Hyeun Bum Kim;Ju-Hoon Lee
    • Journal of Microbiology and Biotechnology
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    • v.33 no.1
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    • pp.51-60
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    • 2023
  • The foodborne illness is the important public health concerns, and the livestock feces are known to be one of the major reservoirs of foodborne pathogens. Also, it was reported that 45.5% of foodborne illness outbreaks have been associated with the animal products contaminated with the livestock feces. In addition, it has been known that the persistence of a pathogens depends on many potential virulent factors including the various virulent genes. Therefore, the first step to understanding the public health risk of livestock feces is to identify and describe microbial communities and potential virulent genes that contribute to bacterial pathogenicity. We used the whole metagenome shotgun sequencing to evaluate the prevalence of foodborne pathogens and to characterize the virulence associated genes in pig and chicken feces. Our data showed that the relative abundance of potential foodborne pathogens, such as Bacillus cereus was higher in chickens than pigs at the species level while the relative abundance of foodborne pathogens including Campylobacter coli was only detected in pigs. Also, the microbial functional characteristics of livestock feces revealed that the gene families related to "Biofilm formation and quorum sensing" were highly enriched in pigs than chicken. Moreover, the variety of gene families associated with "Resistance to antibiotics and toxic compounds" were detected in both animals. These results will help us to prepare the scientific action plans to improve awareness and understanding of the public health risks of livestock feces.

Establishment of Crowd Management Safety Measures Based on Crowd Density Risk Simulation (군중 밀집 위험도 시뮬레이션 기반의 인파 관리 안전대책 수립)

  • Hyuncheol Kim;Hyungjun Im;Seunghyun Lee;Youngbeom Ju;Soonjo Kwon
    • Journal of the Korean Society of Safety
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    • v.38 no.2
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    • pp.96-103
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    • 2023
  • Generally, human stampedes and crowd collapses occur when people press against each other, causing falls that may result in death or injury. Particularly, crowd accidents have become increasingly common since the 1990s, with an average of 380 deaths annually. For instance, in Korea, a stampede occurred during the Itaewon Halloween festival on October 29, 2022, when several people crowded onto a narrow, downhill road, which was 45 meters long and between 3.2 and 4 meters wide. Precisely, this stampede was primarily due to the excessive number of people relative to the road size. Essentially, stampedes can occur anywhere and at any time, not just at events, but also in other places where large crowds gather. More specifically, the likelihood of accidents increases when the crowd density exceeds a turbulence threshold of 5-6 /m2. Meanwhile, festivals and events, which have become more frequent and are promoted through social media, garner people from near and far to a specific location. Besides, as cities grow, the number of people gathering in one place increases. While stampedes are rare, their impact is significant, and the uncertainty associated with them is high. Currently, there is no scientific system to analyze the risk of stampedes due to crowd concentration. Consequently, to prevent such accidents, it is essential to prepare for crowd disasters that reflect social changes and regional characteristics. Hence, this study proposes using digital topographic maps and crowd-density risk simulations to develop a 3D model of the region. Specifically, the crowd density simulation allows for an analysis of the density of people walking along specific paths, which enables the prediction of danger areas and the risk of crowding. By using the simulation method in this study, it is anticipated that safety measures can be rationally established for specific situations, such as local festivals, and preparations may be made for crowd accidents in downtown areas.

Scalable Fabrications of Mixed-Matrix Membranes via Polymer Modification-Enabled In Situ Metal-Organic Framework Formation for Gas Separation: A Review (고분자 변형으로 가능해진 MOF의 원위치 형성을 이용한 혼합기질 기체분리막의 대면적화 가능한 제막)

  • Sunghwan Park;Young-Sei Lee
    • Applied Chemistry for Engineering
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    • v.34 no.3
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    • pp.213-220
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    • 2023
  • Mixed-matrix membranes (MMMs), which are composed of a polymer matrix filled with high-performance fillers as a dispersed phase, have been intensively studied for gas separations for the past 30 years. It has been demonstrated that MMMs exhibit superior gas separation performance compared to polymer membranes and are more scalable than polycrystalline membranes. Despite their potential, the commercialization of MMMs has yet to be reported due to several challenging issues. One of the major challenges of MMMs is the non-ideal interface between the continuous polymer phase and dispersed phase, which can result in defect formation (i.e., interfacial voids, etc.). With respect, many MMM studies have focused on addressing the issues through scientific approaches. The engineering approaches for facile and effective large-scale fabrication of MMMs, however, have been relatively underestimated. In this review paper, a novel strategy for fabricating MMMs in a facile and scalable manner using in situ metal-organic framework (MOF) formation is introduced. This new MMM fabrication methodology can effectively address the issues facing current MMMs, likely facilitating the commercialization of MMMs.

An Empirical Analysis on the Efficiency of the Projects for Strengthening the Service Business Competitiveness (서비스기업경쟁력강화사업의 효율성에 대한 실증 분석)

  • Kim, Dae Ho;Kim, Dongwook
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.6 no.5
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    • pp.367-377
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    • 2016
  • The purpose of the projects for strengthening the Service Business Competitiveness, which had been sponsored by the Ministry of Trade, Industry and Energy, and managed by the NIPA, is to support for combining the whole business process of the SMEs with the business model considering the scientific aspects of the services, to enhance the productivity of them and to add the values of their activities. 5 organizations are selected in 2014, and 4 in 2015 as leading organizations for these projects. This study analyzed the efficiency of these projects using DEA. Throughout the analysis of the prior researches, this study used the amount of government-sponsored money as the input variable, and the number of new customer business, the sales revenue, and the number of new employment as the output variables. And the result of this analysis showed that the decision making unit 12, 15, and 21 was efficient. And from this study, we found out two more performance indicators such as, the number of new employment and the amount of sales revenue, besides the number of new customer businesses.

A Study on the Abstraction of Movements Based on Laban's Space Theory "Choreutics" (라반의 공간조화이론 "코레우틱스(Choreutics)"를 활용한 움직임의 추상적 시각화 연구)

  • Kim, Hyeran;Lee, Sang Wook
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.3
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    • pp.371-381
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    • 2017
  • This paper presents a methodology for creating abstract animation based on the human movement theories originating from the work of dance theorist Rudolf von Laban. Laban Movement Analysis is a method and language for describing, visualizing, interpreting and documenting all varieties of human movement, and Choreutics is based on universal patterns of nature and of human as part of a universal design. Laban defines the space of movements in a profoundly dualistic way. Outwardly, his objective and scientific definitions provide a concrete base for generating human movements in computer graphics in terms of geometric and motion primitives such as points, lines, planes, polygons, linear and nonlinear movements. On the other hand, he also offers a system for understanding the subtle characteristics about the way a movement is dynamically done with respect to inner intention. Laban's interpretations of human motion can be utilized potentially in plastic arts and computer arts. Our work was inspired by those physical and psychological analyses and computer algorithms have been developed for creating abstract animation. We presented our computer animation works entitled "Choreography" in the exhibitions: a special section in "2015 Craft Trend Fair" and "Make Your Movement" held in the Korean Cultural Centre in UK, 2016. In this paper, we describe our ideas and methods for creating abstract object movements based on the Laban's motion representations.

Hierarchical Circuit Visualization for Large-Scale Quantum Computing (대규모 양자컴퓨팅 회로에 대한 계층적 시각화 기법)

  • Kim, JuHwan;Choi, Byung-Soo;Jo, Dongsik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.611-613
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    • 2021
  • Recently, research and development of quantum computers, which exceed the limits of classical computers, have been actively carried out in various fields. Quantum computers, which use quantum mechanics principles in a way different from the electrical signal processing of classical computers, have various quantum mechanical phenomena such as quantum superposition and quantum entanglement. It goes through a very complicated calculation process compared to the calculation of a classical computer for performing an operation using its characteristics. In order to utilize each element efficiently and accurately, it is necessary to visualize the data before driving the actual quantum computer and perform error verification, optimization, reliability, and verification. However, when visualizing all the data of various elements configured inside the quantum computer, it is difficult to intuitively grasp the necessary data, so it is necessary to visualize the data selectively. In this paper, we visualize the data of various elements that make up a quantum computer, and hierarchically visualize the internal circuit components of a quantum computer that are complicatedly configured so that the data can be observed and utilized intuitively.

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Design of Body Movement Program with the Application of Feldenkrais Method® - Foucing on Parkinson's Disease (펠든크라이스 기법®을 적용한 신체 움직임 프로그램 설계 - 파킨슨병 환자를 중심으로)

  • So Jung Park
    • Trans-
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    • v.14
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    • pp.35-63
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    • 2023
  • Parkinson's disease is a degenerative neurological disease that affects even basic daily life movements due to impairment of body function caused by a lack of dopamine, which is charge of the body movement. Presently, it is hard to cure Parkinson's disease entirely with medical technology, so movement therapy as a solution to delay and prevent disease is getting more attention. Therefore, this study aims at desiging and disseminating a body movement program that concentrates on individual self-care and balacing the state of body and mind by applying the Feldenkrais Method® to patients with Parkinson's disease. The Feldenkrais Method® is a mind-body perceptual learning method using body movements. It is a methodology that re-educates the nervous system by connecting the brain and behavior as a function of neuroplasticity. In this study, the body movement program developed and verified by the researcher was modified and supplemented with a focus on the self-awareness of the Feldenkrais Method®. A 24-session physical exercise program was composed of 5 stages to improve the self-management ability of patients with Parkinson's disease. The stages include self-awareness, self-observation, self-organization, self-control, and self-care. The overall changes recognize one's condition and improve one's ability to detect modifications in the internal sense and external environment. In conclusion, the body movement program improves the body movement program improves mental and physical functions and self-care for Parkinson's disease patients through the Feldenkrais method. The availability of the program's on-site applicability remains a follow-up task. Furthermore, it is necessary to establish a systematic structure to spread it more widely through convergent cooperation with the scientific field applied with metaverse as a reference for the wellness of the elderly.

Analysis of Research in Earth Science at the Science Fair Using the Semantic Network Analysis: Focus on the Last 21 Years (2000-2020) (언어네트워크를 이용한 과학전람회 지구과학 부문 탐구주제 분석: 최근 21년(2000-2020년)을 중심으로)

  • Kyu-Seong Cho;Duk-Ho Chung;Dong-Gwon Jeong;Cheon-ji Kang
    • Journal of the Korean earth science society
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    • v.44 no.1
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    • pp.62-78
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    • 2023
  • The purpose of this study is to analyze the field of Earth science at a science fair. For this purpose, 566 pieces of data spanning 21 years (2000 to 2020), acquired from entries in the Earth Science section on the science fair website, were analyzed using the semantic network method. As a result, geoscience topics have been actively explored in works submitted for the Earth Science section of the science fair. Fossils from the Cretaceous period of the Mesozoic Era were particularly predominant. Together with these, keywords corresponding to astronomy, space science, and atmospheric science formed a small-scale network. Astronomy and space science mainly dealt with the dynamic characteristics of asteroids, Venus, and Jupiter. Other subjects included the solar system, sunspots, and lunar phases. Atmospheric science has focused on atmospheric physics, atmospheric observation and analysis technology, atmospheric dynamics, air quality monitoring, while marine science has been limited to physical oceanography and geologic oceanography. This study, is expected to help select Earth Science topics and conduct inquiry activities in schools.

Liaohe National Park based on big data visualization Visitor Perception Study

  • Qi-Wei Jing;Zi-Yang Liu;Cheng-Kang Zheng
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.4
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    • pp.133-142
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    • 2023
  • National parks are one of the important types of protected area management systems established by IUCN and a management model for implementing effective conservation and sustainable use of natural and cultural heritage in countries around the world, and they assume important roles in conservation, scientific research, education, recreation and driving community development. In the context of big data, this study takes China's Liaohe National Park, a typical representative of global coastal wetlands, as a case study, and using Python technology to collect tourists' travelogues and reviews from major OTA websites in China as a source. The text spans from 2015 to 2022 and contains 2998 reviews with 166,588 words in total. The results show that wildlife resources, natural landscape, wetland ecology and the fishing and hunting culture of northern China are fully reflected in the perceptions of visitors to Liaohe National Park; visitors have strong positive feelings toward Liaohe National Park, but there is still much room for improvement in supporting services and facilities, public education and visitor experience and participation.