• Title/Summary/Keyword: risk cost

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A Technology on the Framework Design of Virtual based on the Synthetic Environment Test for Analyzing Effectiveness of the Weapon Systems of Underwater Engagement Model (수중대잠전 교전모델의 무기체계 효과도 분석을 위한 합성환경기반 가상시험 프레임워크 설계 기술)

  • Hong, Jung-Wan;Park, Yong-Min;Park, Sang-C.;Kwon, Yong-Jin(James)
    • Journal of the Korea Society for Simulation
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    • v.19 no.4
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    • pp.291-299
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    • 2010
  • As recent advances in science, technology and performance requirements of the weapons system are getting highly diversified and complex, the performance requirements also get stringent and strict. Moreover, the weapons system should be intimately connected with other systems such as watchdog system, command and control system, C4I system, etc. However, a tremendous amount of time, cost and risk being spent to acquire new weapons system, and not being diminished compared to the rapid pace of its development speed. Defense Modeling and Simulation(M&S) comes into the spotlight as an alternative to overcoming these difficulties as well as constraints. In this paper, we propose the development process of virtual test framework based on the synthetic environment as a tool to analyze the effectiveness of the weapons system of underwater engagement model. To prove the proposed concept, we develop the test-bed of virtual test using Delta3D simulation engine, which is open source S/W. We also design the High Level Architecture and Real-time Infrastructure(HLA/RTI) based Federation for the interoperation with heterogeneous simulators. The significance of the study entails (1)the rapid and easy development of simulation tools that are customized for the Korean Theater of War; (2)the federation of environmental entities and the moving equations of the combat entities to manifest a realistic simulation.

Relative Importance Analysis of Management Level Diagnosis for Consignee's Personal Information Protection (수탁사 개인정보 관리 수준 점검 항목의 상대적 중요도 분석)

  • Im, DongSung;Lee, Sang-Joon
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.8 no.2
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    • pp.1-11
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    • 2018
  • Recently ICT, new technologies such as IoT, Cloud, and Artificial Intelligence are changing the information society explosively. But personal information leakage incidents of consignee's company are increasing more and more because of the expansion of consignment business and the latest threats such as Ransomware and APT. Therefore, in order to strengthen the security of consignee's company, this study derived the checklists through the analysis of the status such as the feature of consignment and the security standard management system and precedent research. It also analyzed laws related to consignment. Finally we found out the relative importance of checklists after it was applied to proposed AHP(Analytic Hierarchy Process) Model. Relative importance was ranked as establishment of an internal administration plan, privacy cryptography, life cycle, access authority management and so on. The purpose of this study is to reduce the risk of leakage of customer information and improve the level of personal information protection management of the consignee by deriving the check items required in handling personal information of consignee and demonstrating the model. If the inspection activities are performed considering the relative importance of the checklist items, the effectiveness of the input time and cost will be enhanced.

Predicting the Fetotoxicity of Drugs Using Machine Learning (기계학습 기반 약물의 태아 독성 예측 연구)

  • Myeonghyeon Jeong;Sunyong Yoo
    • Journal of Life Science
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    • v.33 no.6
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    • pp.490-497
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    • 2023
  • Pregnant women may need to take medications to treat preexisting diseases or diseases that develop during pregnancy. However, some drugs may be fetotoxic and lead to, for example, teratogenicity and growth retardation. Predicting the fetotoxicity of drugs is thus important for the health of the mother and fetus. The fetotoxicity of many drugs has not been established because various challenges hinder the ability of researchers to determine their fetotoxicity. The need exists for in silico-based fetotoxicity assessment models, as they can modernize the testing paradigm, improve predictability, and reduce the use of animals and the costs of fetotoxicity testing. In this study, we collected data on the fetotoxicity of drugs and constructed fetotoxicity prediction models based on various machine learning algorithms. We optimized the models for more precise predictions by tuning the hyperparameters. We then performed quantitative performance evaluations. The results indicated that the constructed machine learning-based models had high performance (AUROC >0.85, AUPR >0.9) in fetotoxicity prediction. We also analyzed the feature importance of our model's predictions, which could be leveraged to identify the specific features of drugs that are strongly associated with fetotoxicity. The proposed model can be used to prescreen drugs and drug candidates at a lower cost and in less time. It provides a predictive score for fetotoxicity risk, which may be beneficial in the design of studies on fetotoxicity in human pregnancy.

Preferences and Consumption Patterns of General Consumers of Meat Dishes (일반소비자들의 고기 요리에 대한 기호도 및 소비행태)

  • Kim, Eun-Mi;Seo, Sang-Hee;Lee, Min-A;Kwon, Ki-Hyun;Jun, Gi-Hong
    • Journal of the Korean Society of Food Culture
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    • v.25 no.3
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    • pp.251-261
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    • 2010
  • This paper examines the dining tendencies of Koreans toward meat dishes and their related factors, with 301 people residing in Korea as subjects. We questioned this population on their restaurant choices, eating habits, preferences and a dislike with respect to method of cooking. All age groups, with the exception of 50~60 year-olds, were found to consume meat dishes in specialized restaurants. The selection factor for restaurants varied, depending on the age group: affordable cost was the most important factor for whom under 20 year-old. Whereas 20-40 year-old people considered taste and ambience the most for choosing restaurant. The 50-60 year-old people found to seek for convenient restaurant. In terms of the most preferred parts of beef, 20-30 year-old people preferred tenderloin (42.3%) while 40-60 year-old people preferred sirloin (45.6% and 41.2% each). All the other age groups preferred ribs the most (It was also found that) men preferred the rib parts and women preferred tenderloin. With respect to pork, all age groups preferred pork belly, with the highest response rate in the under 20 age group. When consuming meat dishes, 91.0% of respondents pointed to roasting as the most frequent preparation method, the reason being good taste was deemed the highest number of responses. In a survey on preference for stewed meats, 74.8% of the sample pool was found to prefer stew dishes but 24.9% of respondents provided negative answers, the reason for dislike was found to be poor taste for women, and both a long preparation time and poor taste for men. In fact, regardless of marital status, a high number of responses were given for poor taste as the reason for disliking stew dishes. Based on the examined factors for inconveniences in preparing meat dishes, the most common inconvenience factor was the odor of meat left on clothes after the dining experience, followed by the smoke generated in roasting meat, and the safety risk involved with changing the grill. In terms of stir fry preparation, the negative thoughts were due to the splashing of food and spices while cooking, followed by the meat odor left on clothes after dining experience, and the sanitation level of the cooking containers. For deep frying the sanitation level of cooking containers was the biggest reason for dislike, followed by splashing of food when preparing. Lastly, it was indicated that the problem of steaming method was a difficulty of judging the portion, on the top of this, people found that the sanitation level of cooking container and a long preparation time were also the problem of this cooking method.

Do good return policies work across cultures? Effect of lenient return policies on online shopper perceptions in Eastern culture

  • Yang, SuJin;Choi, Yun Jung
    • Asia Marketing Journal
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    • v.15 no.2
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    • pp.75-97
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    • 2013
  • While good return policies are suggested as one of the critical services for e-commerce, ambivalence between the burden of the cost and shoppers' satisfaction may prevent e-tailers from increasing their level of leniency. Based on the S-O-R model, this study has attempted to develop a grounded theory to explain how lenient return policies shape online shoppers' perceptions and responses, with a focus on cultural influences in the relationship. In order to check the cultural effects of the lenient return policy, thirty two female and eleven male undergraduate students in South Korean shoppers, who are accustomed to strict return policies, participated in the semi-structured interview. A series of open-ended questions were designed to explore consumers' reactions toward four different levels of the lenient return policy: from the strict type in South Korea to the lenient type in the U.S. Using qualitative research methods, this research has defined three types of dimensions of lenient return policy: return possible period, complexity of progress, and other restrictions. While previous researchers did not pay much attention, the last dimension, other restrictions, is shown to be the most significant in influencing online shoppers' perceptions, especially in South Korea. Also, the impacts on online shoppers' perceptions from the three types of sub-dimensions of return policy were somewhat different. Whereas a longer return possible period was considered more favorable, a medium level of complexity and restrictions were considered more desirable. In summary, this result showed that shoppers in Eastern cultures, i.e. South Korean online shoppers, seem favorable to a medium level of lenient return policies, while allowing for taking precautions against possible fraudulent behaviors and setting other restrictions. Therefore, most of retailers in South Korea recommended that e-tailers who adopt the most lenient return policies raise the bar to guard ethical shoppers from fraudulent users. Next, lenient return policies can enhance ease of use, usefulness, affect, and trust while relieving perceived risk, which is connected to intention to purchase, satisfaction, and loyalty. Interestingly, lenient return policies are more likely to change the behavioral responses of online shoppers, such as return and purchase, rather than change their attitudes or beliefs such as image, satisfaction, and loyalty. This tendency can be seen more clearly in the direct influences of return policy on responses. The reaction to lenient return policy is mostly the intention to return or to purchase. This suggests that return policy serves the e-tailers as a powerful tool in increasing online shoppers' purchase intention at the moment of purchase. Therefore, e-tailers who plan to expand their market to eastern countries, including South Korea, have to build a shield of restrictions around their lenient return policy, rather than immediately applying their original liberalized return policy. Also, e-tailers in South Korea need to review their strict and undifferentiated return policies to deal with the unsatisfied reactions of online shoppers toward their normal return policies. Although the present study was confined to the return policies currently being practiced by popular e-tailers, it would be worthwhile to develop effective return policies separately for each country, especially South Korea, keeping the culture of the relevant country in mind.

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A Study on Acceptance of Blockchain-Based Genetic Information Platform (블록체인 기반 유전자분석 정보플랫폼의 수용에 대한 연구)

  • In Seon Choi;Dong Chan Park;Doo Hee Chung
    • Information Systems Review
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    • v.23 no.3
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    • pp.97-125
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    • 2021
  • Blockchain is a core technology to solve personal information leakage and data management issues, which are limitations of existing Genomic Sequencing services. Due to continuous cost reduction and deregulation, the market size of Genomic Sequencing has been increasing, also the potential of services is expected to increase when Blockchain's security and connectivity are combined. We created our research model by combining the Technology Acceptance Model (TAM) and the Innovation Resistance Theory also analyzed the factors affecting the acceptance intention and innovation resistance of the Blockchain Based Genomic Sequencing Information Platform. A survey was conducted on 150 potential users of Blockchain and Genomic Sequencing services. The analysis was conducted by setting the four Blockchain variables: Security, transparency, availability, and diversity). Also, we set the Perceived Usefulness, Perceived risk, and Perceived Complexity for Technology Acceptance and Innovation Resistance variables and analyzed the effect of the characteristics of the Blockchain on acceptance intention and innovation resistance through these variables. Through this analysis, key variables that need to be considered important to reduce resistance and increase acceptance intention could be identified. This study presents innovation factors that should be considered in companies preparing a new Blockchain Based Genomic Sequencing Information Platform.

Authing Service of Platform: Tradeoff between Information Security and Convenience (플랫폼의 소셜로그인 서비스(Authing Service): 보안과 편의 사이의 적절성)

  • Eun Sol Yoo;Byung Cho Kim
    • Information Systems Review
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    • v.20 no.1
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    • pp.137-158
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    • 2018
  • Online platforms recently expanded their connectivity through an authing service. The growth of authing services enabled consumers to enjoy easy log in access without exerting extra effort. However, multiple points of access increases the security vulnerability of platform ecosystems. Despite the importance of balancing authing service and security, only a few studies examined platform connectivity. This study examines the optimal level of authing service of a platform and how authing strategies impact participants in a platform ecosystem. We used a game-theoretic approach to analyze security problems associated with authing services provided by online platforms for consumers and other linked platforms. The main findings are as follows: 1) the decreased expected loss of consumers will increase the number of players who participate in the platform; 2) linked platforms offer strong benefits from consumers involved in an authing service; 3) the main platform will increase its effort level, which includes security cost and checking of linked platform's security if the expected loss of the consumers is low. Our study contributes to the literature on the relationship between technology convenience and security risk and provides guidelines on authing strategies to platform managers.

A Study on Monitoring Surface Displacement Using SAR Data from Satellite to Aid Underground Construction in Urban Areas (위성 SAR 자료를 활용한 도심지 지하 교통 인프라 건설에 따른 지표 변위 모니터링 적용성 연구)

  • Woo-Seok Kim;Sung-Pil Hwang;Wan-Kyu Yoo;Norikazu Shimizu;Chang-Yong Kim
    • The Journal of Engineering Geology
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    • v.34 no.1
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    • pp.39-49
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    • 2024
  • The construction of underground infrastructure is garnering growing increasing research attention owing to population concentration and infrastructure overcrowding in urban areas. An important associated task is establishing a monitoring system to evaluate stability during infrastructure construction and operation, which relies on developing techniques for ground investigation that can evaluate ground stability, verify design validity, predict risk, facilitate safe operation management, and reduce construction costs. The method proposed here uses satellite imaging in a cost-effective and accurate ground investigation technique that can be applied over a wide area during the construction and operation of infrastructure. In this study, analysis was performed using Synthetic Aperture Radar (SAR) data with the time-series radar interferometric technique to observe surface displacement during the construction of urban underground roads. As a result, it was confirmed that continuous surface displacement was occurring at some locations. In the future, comparing and analyzing on-site measurement data with the points of interest would aid in confirming whether displacement occurs due to tunnel excavation and assist in estimating the extent of excavation impact zones.

A Study on the Development of integrated Process Safety Management System based on Artificial Intelligence (AI) (인공지능(AI) 기반 통합 공정안전관리 시스템 개발에 관한 연구)

  • KyungHyun Lee;RackJune Baek;WooSu Kim;HeeJeong Choi
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.1
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    • pp.403-409
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    • 2024
  • In this paper, the guidelines for the design of an Artificial Intelligence(AI) based Integrated Process Safety Management(PSM) system to enhance workplace safety using data from process safety reports submitted by hazardous and risky facility operators in accordance with the Occupational Safety and Health Act is proposed. The system composed of the proposed guidelines is to be implemented separately by individual facility operators and specialized process safety management agencies for single or multiple workplaces. It is structured with key components and stages, including data collection and preprocessing, expansion and segmentation, labeling, and the construction of training datasets. It enables the collection of process operation data and change approval data from various processes, allowing potential fault prediction and maintenance planning through the analysis of all data generated in workplace operations, thereby supporting decision-making during process operation. Moreover, it offers utility and effectiveness in time and cost savings, detection and prediction of various risk factors, including human errors, and continuous model improvement through the use of accurate and reliable training data and specialized datasets. Through this approach, it becomes possible to enhance workplace safety and prevent accidents.

A Comparative Study between Vocational Training Using Virtual Reality and Traditional Training: Focusing on Industrial Cranes (가상현실을 활용한 직업훈련과 전통적인 훈련과의 비교연구: 산업용크레인을 중심으로)

  • Seong-Yeon Mun;Hyun-Jung Oh;Sang-Joon Lee
    • Journal of Practical Engineering Education
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    • v.16 no.4
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    • pp.529-540
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    • 2024
  • In industrial sites, experiential virtual training contents are partially used to replace high-risk and high-cost training, and virtual training contents development is also becoming active along with the increasing demand for non-face-to-face industries. Existing studies mainly focused on quantitative research through surveys, and only measured the change in users' learning commitment. This study attempted to investigate the effect of the combination of theoretical education and virtual training on the improvement of actual job performance in a dual vocational training environment by conducting an experimental study. This study studied whether the combination of theoretical education and virtual training can improve the performance of vocational training in dual vocational training (comparative work and learning) in which companies and schools participate. The results of pre- and post-evaluation of vocational training using traditional vocational training and virtual training contents were compared with 24 vocational training trainees. As a result of the study, it was demonstrated that the outcome of virtual training education was higher than that of traditional vocational training, and the combination of virtual reality-based education was more effective in theoretical education. This study suggests that the virtual training content presents a new paradigm for industrial safety education, and through the interview results of trainees, it was confirmed that virtual training can lead to a change in attitude toward safety beyond just knowledge transfer. This contributes to the prevention of safety accidents in industrial sites and provides important implications for improving the quality of vocational training.