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Cellular Automata Simulation System for Emergency Response to the Dispersion of Accidental Chemical Releases (사고로 인한 유해화학물질 누출확산의 대응을 위한 Cellular Automata기반의 시뮬레이션 시스템)

  • Shin, Insup Paul;Kim, Chang Won;Kwak, Dongho;Yoon, En Sup;Kim, Tae-Ok
    • Journal of the Korean Institute of Gas
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    • v.22 no.6
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    • pp.136-143
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    • 2018
  • Cellular automata have been applied to simulations in many fields such as astrophysics, social phenomena, fire spread, and evacuation. Using cellular automata, this study develops a model for consequence analysis of the dispersion of hazardous chemicals, which is required for risk assessments of and emergency responses for frequent chemical accidents. Unlike in cases of detailed plant safety design, real-time accident responses require fast and iterative calculations to reduce the uncertainty of the distribution of damage within the affected area. EPA ALOHA and KORA of National Institute of Chemical Safety have been popular choices for these analyses. However, this study proposes an initiative to supplement the model and code continuously and is different in its development of free software, specialized for small and medium enterprises. Compared to the full-scale computational fluid dynamics (CFD), which requires large amounts of computation time, the relative accuracy loss is compromised, and the convenience of the general user is improved. Using Python open-source libraries as well as meteorological information linkage, it is made possible to expand and update the functions continuously. Users can easily obtain the results by simply inputting the layout of the plant and the materials used. Accuracy is verified against full-scale CFD simulations, and it will be distributed as open source software, supporting GPU-accelerated computing for fast computation.

Convergence Study in Development of Severity Adjustment Method for Death with Acute Myocardial Infarction Patients using Machine Learning (머신러닝을 이용한 급성심근경색증 환자의 퇴원 시 사망 중증도 보정 방법 개발에 대한 융복합 연구)

  • Baek, Seol-Kyung;Park, Hye-Jin;Kang, Sung-Hong;Choi, Joon-Young;Park, Jong-Ho
    • Journal of Digital Convergence
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    • v.17 no.2
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    • pp.217-230
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    • 2019
  • This study was conducted to develop a customized severity-adjustment method and to evaluate their validity for acute myocardial infarction(AMI) patients to complement the limitations of the existing severity-adjustment method for comorbidities. For this purpose, the subjects of KCD-7 code I20.0 ~ I20.9, which is the main diagnosis of acute myocardial infarction were extracted using the Korean National Hospital Discharge In-depth Injury survey data from 2006 to 2015. Three tools were used for severity-adjustment method of comorbidities : CCI (charlson comorbidity index), ECI (Elixhauser comorbidity index) and the newly proposed CCS (Clinical Classification Software). The results showed that CCS was the best tool for the severity correction, and that support vector machine model was the most predictable. Therefore, we propose the use of the customized method of severity correction and machine learning techniques from this study for the future research on severity adjustment such as assessment of results of medical service.

Survival network based Android Authorship Attribution considering overlapping tolerance (중복 허용 범위를 고려한 서바이벌 네트워크 기반 안드로이드 저자 식별)

  • Hwang, Cheol-hun;Shin, Gun-Yoon;Kim, Dong-Wook;Han, Myung-Mook
    • Journal of Internet Computing and Services
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    • v.21 no.6
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    • pp.13-21
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    • 2020
  • The Android author identification study can be interpreted as a method for revealing the source in a narrow range, but if viewed in a wide range, it can be interpreted as a study to gain insight to identify similar works through known works. The problem found in the Android author identification study is that it is an important code on the Android system, but it is difficult to find the important feature of the author due to the meaningless codes. Due to this, legitimate codes or behaviors were also incorrectly defined as malicious codes. To solve this, we introduced the concept of survival network to solve the problem by removing the features found in various Android apps and surviving unique features defined by authors. We conducted an experiment comparing the proposed framework with a previous study. From the results of experiments on 440 authors' identified apps, we obtained a classification accuracy of up to 92.10%, and showed a difference of up to 3.47% from the previous study. It used a small amount of learning data, but because it used unique features without duplicate features for each author, it was considered that there was a difference from previous studies. In addition, even in comparative experiments with previous studies according to the feature definition method, the same accuracy can be shown with a small number of features, and this can be seen that continuously overlapping meaningless features can be managed through the concept of a survival network.

Food Fraud Monitoring of Raw Materials for Commercial Seafood Products Using DNA Barcode Information (DNA Barcode를 이용한 수산가공품 원재료 진위판별)

  • Park, Eun-Ji;Kang, Ju-Yeong;Lee, Han-Cheol;Park, Min-Ji;Yang, Ji-Young;Shin, Ji-Young;Kim, Gun-Do;Kim, Jong-Oh;Seo, Yong-Bae;Kim, Jung-Beom
    • Journal of Food Hygiene and Safety
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    • v.36 no.4
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    • pp.331-341
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    • 2021
  • DNA barcode sequences of commercial seafood products, which are difficult to morphologically discriminate, were analyzed to determine cases of food fraud. The gene sequences were analyzed by amplifying the COX I (cytochrome C oxidase subunit I) gene region of mitochondrial DNA, which is mainly used for species identification. The DNA barcode sequences were compared with the gene sequence of each fish registered in the US National Center for Biotechnology. A total of 46 processed seafood products (12 Pagrus majo, 4 Oplegnathus fasciatus, 7 Dentex tumifrons, 2 Acanthopagrus schlegelii, 7 Oreochromis niloticus, 6 Branchiostegus japonicus, 8 Branchiostegus albus) were investigated. Having DNA sequence identity of more than 97% was judged as the same species. As a result of this study, no cases of forgery and alteration were detected. However, some disparities in the commercial names used in local markets and the standard names given in the Korea Food Code were found, which may cause confusion for consumers. It is therefore suggested that the standard name or scientific name be displayed on seafood product labels.

Analysis of Anti-Reversing Functionalities of VMProtect and Bypass Method Using Pin (VMProtect의 역공학 방해 기능 분석 및 Pin을 이용한 우회 방안)

  • Park, Seongwoo;Park, Yongsu
    • KIPS Transactions on Computer and Communication Systems
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    • v.10 no.11
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    • pp.297-304
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    • 2021
  • Commercial obfuscation tools (protectors) aim to create difficulties in analyzing the operation process of software by applying obfuscation techniques and Anti-reversing techniques that delay and interrupt the analysis of programs in software reverse engineering process. In particular, in case of virtualization detection and anti-debugging functions, the analysis tool exits the normal execution flow and terminates the program. In this paper, we analyze Anti-reversing techniques of executables with Debugger Detection and Viralization Tools Detection options through VMProtect 3.5.0, one of the commercial obfuscation tools (protector), and address bypass methods using Pin. In addition, we predicted the location of the applied obfuscation technique by finding out a specific program termination routine through API analysis since there is a problem that the program is terminated by the Anti-VM technology and the Anti-DBI technology and drew up the algorithm flowchart for bypassing the Anti-reversing techniques. Considering compatibility problems and changes in techniques from differences in versions of the software used in experiment, it was confirmed that the bypass was successful by writing the pin automation bypass code in the latest version of the software (VMProtect, Windows, Pin) and conducting the experiment. By improving the proposed analysis method, it is possible to analyze the Anti-reversing method of the obfuscation tool for which the method is not presented so far and find a bypass method.

Reading Cognitive Culture by Intentional Instruction and Convergence Analysis in Advertising Content Stories (광고콘텐츠 스토리에 담긴 의도적인 지시체와 융복합적 해석소에 의한 인지적 문화읽기)

  • Lim, Ji-Won
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.2
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    • pp.37-45
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    • 2019
  • The This study aimed at clarifying that the cognitive interpretation code is essential for college students to read the correct culture while discussing the producer's story production system for creative advertising content and the process of interpreting the meaning of advertisers and the formation of principles and beliefs. The production of advertising content aimed at persuasion should first identify anachronistic reason system based on the target audience's perception principle. A concise analysis of the experiment found key clues that confirmed that a sample of the producer's intended story would be inconsistent with the clues of information that a college student could remember. I have tried to organize a semantic analysis tool that combines these key clues and as a tool for reading culture of the right time for college students. As a result, university student inmates were able to identify one side of positive communication: reading a new cognitive symbol culture based on their subjective experience and beliefs, rather than analyzing cross-sectional analysis of the primary language and non-verbal expressions of their advertising contents. In the future, if an advertising content story producer works to identify such a process in advance, it will help persuade inmates.

Auditory User Interface Guideline Development for Industrial Sound Design: focused on Function Preference and Sexual Difference (제조업 사운드 디자인을 위한 청각적 사용자 인터페이스 가이드라인 설계: 기능 선호도 및 성별 차이를 중심으로)

  • Yoo, Hoon Sik;Ju, Da Young
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.4
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    • pp.193-202
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    • 2017
  • With the growth of Chinese manufacturing industry and strengthening of manufacturing industry in advanced countries, the competitiveness of Korean manufacturing industry has become weak. Accordingly, it is time when energy for new growth is required very strongly. This research is the basic research to construct a cognitive and emotional information system to support sound design in manufacturing industry, and aims to develop AUI (Auditory User Interface) guideline. To fulfill research aims, this research conducted interviews to persons belonging to the manufacturing industry, and analyzed contexts and major characteristics related with AUI design. In addition, this research conducted survey on 269 persons on user preference on representative function of products. By analyzing survey data, this research examined the most suitable melody method for each sound, and difference in user preference between men and women. Based on beep sound, it performed analysis focusing on the number of sounds, melody types, and code. It also extracted AUI guidelines usable when users of the product into male and female. This research has significance in the sense that it built the basic guide data which can support AUI design in manufacturing industry.

Uncertainty Estimation of Single-Channel Temperature Estimation Algorithm for Atmospheric Conditions in the Seas around the Korean Peninsula (한반도 주변해역 대기환경에 대한 싱글채널 온도추정 알고리즘의 불확도 추정)

  • Jong Hyuk Lee;Kyung Woong Kang;Seungil Baek;Wonkook Kim
    • Korean Journal of Remote Sensing
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    • v.39 no.3
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    • pp.355-361
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    • 2023
  • Temperature of the Earth's surface is a crucial physical variable in understanding weather and atmospheric dynamics and in coping with extreme heat events that have a great impact on living organismsincluding humans. Thermalsensors on satellites have been a useful meansfor acquiring surface temperature information for wide areas on the globe, and thus characterization of its estimation uncertainty is of central importance for the utilization of the data. Among various factors that affect the estimation, the uncertainty caused by the algorithm itself has not been tested for the atmospheric environment of Korean vicinity. Thisstudy derivesthe uncertainty of the single-channel algorithm under the local atmospheric and oceanic conditions by using reanalysis data and buoy temperature data collected around Korea. Atmospheric profiles were retrieved from two types of reanalysis data, the fifth generation of European Centre for Medium-Range Weather Forecasts reanalysis of the global climate and weather (ERA5) and Modern-Era Retrospective analysis for Research and Applications-2 (MERRA-2) to investigate the effect of reanalysis data. MODerate resolution atmospheric TRANsmission (MODTRAN) was used as a radiative transfer code for simulating top of atmosphere radiance and the atmospheric correction for the temperature estimation. Water temperatures used for MODTRAN simulations and uncertainty estimation for the single-channel algorithm were obtained from marine weather buoyslocated in seas around the Korean Peninsula. Experiment results showed that the uncertainty of the algorithm varies by the water vapor contents in the atmosphere and is around 0.35K in the driest atmosphere and 0.46K in overall, regardless of the reanalysis data type. The uncertainty increased roughly in a linear manner as total precipitable water increased.

Effect of Blanching on Dietary Fiber and Free Sugar Content of Vegetables

  • Rheeno Lee;YongSuk Kim
    • Journal of Food Hygiene and Safety
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    • v.38 no.3
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    • pp.164-169
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    • 2023
  • Vegetables are rich sources of dietary fiber, which exhibit various health benefits. In the Republic of Korea, vegetables are consumed after cooking using different methods. However, they are most commonly eaten raw or blanched. In this study, chamnamul, sesame leaf, Fischer's ragwort, burdock root, and garlic stem from Korea were analyzed according to the Korean Food Code, and changes in dietary fiber content after blanching were compared. Blanching reduced the total dietary fiber (TDF) content in chamnamul (from 3.67±0.03 to 2.61±0.14 g/100 g), burdock root (from 4.95±0.40 to 3.89±0.10 g/100 g), and sesame leaf (from 4.32±0.12 to 3.65±0.17 g/100 g), but increased it in Fischer's ragwort (from 6.09±0.49 to 6.43±0.01 g/100 g) and garlic stem (from 4.52±0.35 to 5.09±0.04 g/100 g). Sucrose, glucose, and fructose were detected in the vegetables; however, sesame leaf did not have sucrose. Fresh burdock root had the highest sucrose content (1.71±0.07 g/100 g) whereas garlic stem had the highest glucose and fructose content (1.65±0.02 and 1.73±0.02 g/100 g, respectively) compared with other vegetables. Upon blanching, the free sugar content of vegetables decreased for all sugars except for sucrose, which increased in Fischer's ragwort (from 0.10±0.01 to 0.14±0.01 g/100 g) and garlic stem (from 0.76±0.00 to 0.83±0.01 g/100 g). These results can provide information on blanching-associated changes in the content of dietary fiber and free sugar in foods prepared using these vegetables.

International Study and Transformational Learning: What Covid-19 Has Taught Us

  • Rodgers, Steve
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.1221-1221
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    • 2022
  • Studying abroad in and of itself should be a unique and transformational learning experience for university students. Too often, "study abroad" is a code word for "faculty vacation" or "easy credit hours". For an international learning experience to be truly transformational it must offer an intense and directed program that maximizes the time the student spends in the accumulation of information that is new or different from what the student has "learned" previously. "Study abroad" may be a misnomer because it is not only about studying in another country or culture, that is, taking courses that usually have an attendance time of a few hours a week, but it is also about living in another country which becomes a 24/7 learning experience. Providing these programs during the Covid-19 pandemic has been a keen opportunity for institutional learning. When this immersion in foreign culture is combined with academic rigor applied to a student's chosen field of study the growth can be exponential. So, what is the relationship between academic and personal growth? The National Association for Study Abroad has found that "students who have studied abroad are better able to work with people from other countries, understand the complexity of global issues, and have greater intercultural learning. One study found that students returned from their study abroad experiences more tolerant and less fearful of other countries, but with a greater sense of nationalism-a phenomenon they called 'enlightened nationalism'." It is often said that "you only really learn to appreciate things that are important to you when they are gone, when you miss them." The international learning environment can provide this opportunity. The restrictions on various societies in the past two years due to the international Covid pandemic have provided existing study abroad programs with a true testing ground for the validity of their programs. At the end of the day, American colleges and universities are not helpless in the face of these developments. A lot depends on how a university positions itself for a future based on the uncertainties of the past. As Winston Churchill was working to form the United Nations after WWII, he famously said, "Never let a good crisis go to waste". In another context, Churchill's insight on human nature can also be applied to the coming semesters and years as studying abroad rebounds. What new strategies will be developed and maintained? Institutional commitment without fear will be necessary to assure that "studying abroad" will continue to develop as a truly unique and transformational learning experience.

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