• Title/Summary/Keyword: Risk cost

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A Study on Legal Issues of Data Portability and the Direction of Legislative Policy (개인정보 이동권의 법적 이슈와 입법 정책 방향)

  • Yi, Chang-Beom
    • Informatization Policy
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    • v.28 no.4
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    • pp.54-75
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    • 2021
  • The right to data portability needs to be introduced to strengthen the self-control of data subjects and promote personal data use. However, the right to data portability constitutes a high risk of invasion of privacy of data subjects and may infringe on the property rights of data controllers, so careful and thorough design is warranted. The right to data portability can intensify the concentration and monopoly of personal data, result in problems of overseas transfer of personal data held by public institutions, and enrich only the profits of giant platforms by burdening the data subject with high transfer cost. By contrast, SMEs are more likely to endure a personal data deprivation. From the proposed amendment to the Personal Data Protection Act are raised various legal issues such as. i) Whether to include inferred/derived data, personal data held by public institutions, activity data, sensitive data, and personal data of third parties within the scope of data portability; ii) whether SMEs are included in the data porting organization; iii) whether to exclude SMEs or large platforms from the scope of the data receiving organization; iv) Whether to allow the right to transmit to other data controllers, v) Whether to allow the overseas transfer of personal data held by public institutions, vi) How to safely exercise the right to data portability, vii) the scope of responsibility and immunity of a data porting organization, etc. The purpose of this paper is to propose the direction for legislative action based on various legal issues related to data portability.

Machine Classification in Ship Engine Rooms Using Transfer Learning (전이 학습을 이용한 선박 기관실 기기의 분류에 관한 연구)

  • Park, Kyung-Min
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.2
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    • pp.363-368
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    • 2021
  • Ship engine rooms have improved automation systems owing to the advancement of technology. However, there are many variables at sea, such as wind, waves, vibration, and equipment aging, which cause loosening, cutting, and leakage, which are not measured by automated systems. There are cases in which only one engineer is available for patrolling. This entails many risk factors in the engine room, where rotating equipment is operating at high temperature and high pressure. When the engineer patrols, he uses his five senses, with particular high dependence on vision. We hereby present a preliminary study to implement an engine-room patrol robot that detects and informs the machine room while a robot patrols the engine room. Images of ship engine-room equipment were classified using a convolutional neural network (CNN). After constructing the image dataset of the ship engine room, the network was trained with a pre-trained CNN model. Classification performance of the trained model showed high reproducibility. Images were visualized with a class activation map. Although it cannot be generalized because the amount of data was limited, it is thought that if the data of each ship were learned through transfer learning, a model suitable for the characteristics of each ship could be constructed with little time and cost expenditure.

Study on Economic and Financial Education for the North Koreans after Unification: from the Perspective of Behavioral Economics (통일 후 북한 주민 대상 경제금융 교육에 관한 연구: 행태경제학 관점을 중심으로)

  • Son, Jeong-Kook;Kim, Young-Min
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.2
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    • pp.239-246
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    • 2021
  • Unification means the change of the economic system from 'Planned Economy' of the North Korea to 'Market Economy' of the South Korea. Therefore, it may cause confusions and difficulties for North Koreans who have been under planned economy for ages. So, we need to take the perspective of behavioral economics for the effective education. First of all, it is about overall finance, which contains the record of financial transactions, effect of inflation, investors' bounded rationality, and choice difficulty of financial products. Second, it is about borrowings, which includes the credit management, interest rate of difference among financial institutions. Third, it is about investment on financial products, which includes the effect of cost on returns, difference between compound interest and simple interest, trade-off between expected return and risk, market and non-market risks, the importance of diversification, and passive & aggressive investments.

Development and Validation of Figure-Copy Test for Dementia Screening (치매 선별을 위한 도형모사검사 개발 및 타당화)

  • Kim, Chobok;Heo, Juyeon;Hong, Jiyun;Yi, Kyongmyon;Park, Jungkyu;Shin, Changhwan
    • 한국노년학
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    • v.40 no.2
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    • pp.325-340
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    • 2020
  • Early diagnosis and intervention of dementia is critical to minimize future risk and cost for patients and their families. The purpose of this study was to develop and validate Figure-Copy Test(FCT), as a new dementia screening test, that can measure neurological damage and cognitive impairment, and then to examine whether the grading precesses for screening can be automated through machine learning procedure by using FCT imag es. For this end, FCT, Korean version of MMSE for Dementia Screening (MMSE-DS) and Clock Drawing Test were administrated to a total of 270 participants from normal and damaged elderly groups. Results demonstrated that FCT scores showed high internal constancy and significant correlation coefficients with the other two test scores. Discriminant analyses showed that the accuracy of classification for the normal and damag ed g roups using FCT were 90.8% and 77.1%, respectively, and these were relatively higher than the other two tests. Importantly, we identified that the participants whose MMSE-DS scores were higher than the cutoff but showed lower scores in FCT were successfully screened out through clinical diagnosis. Finally, machine learning using the FCT image data showed an accuracy of 73.70%. In conclusion, our results suggest that FCT, a newly developed drawing test, can be easily implemented for efficient dementia screening.

A Basic Study on the Extraction of Dangerous Region for Safe Landing of self-Driving UAMs (자율주행 UAM의 안전착륙을 위한 위험영역 추출에 관한 기초 연구)

  • Chang min Park
    • Journal of Platform Technology
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    • v.11 no.3
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    • pp.24-31
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    • 2023
  • Recently, interest in UAM (Urban Air Mobility, UAM), which can take off and land vertically in the operation of urban air transportation systems, has been increasing. Therefore, various start-up companies are developing related technologies as eco-friendly future transportation with advanced technology. However, studies on ways to increase safety in the operation of UAM are still insignificant. In particular, efforts are more urgent to improve the safety of risks generated in the process of attempting to land in the city center by UAM equipped with autonomous driving. Accordingly, this study proposes a plan to safely land by avoiding dangerous region that interfere when autonomous UAM attempts to land in the city center. To this end, first, the latitude and longitude coordinate values of dangerous objects observed by the sense of the UAM are calculated. Based on this, we proposed to convert the coordinates of the distorted planar image from the 3D image to latitude and longitude and then use the calculated latitude and longitude to compare the pre-learned feature descriptor with the HOG (Histogram of Oriented Gradients, HOG) feature descriptor to extract the dangerous Region. Although the dangerous region could not be completely extracted, generally satisfactory results were obtained. Accordingly, the proposed research method reduces the enormous cost of selecting a take-off and landing site for UAM equipped with autonomous driving technology and contribute to basic measures to reduce risk increase safety when attempting to land in complex environments such as urban areas.

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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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