• Journal of Food Hygiene and Safety
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• v.28 no.1
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• pp.83-88
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• 2013

Foreign matters in foods are important food safety issue of consumers, retailers, food manufacturers and food safety authorities in Korea. In order to provide information for development of risk management options and detection technology for foreign matters, multifactorial risk of foreign matters in foods was estimated based on various factors including detection rate, health adverse effect, economic and social aspects. For the each of five food items and foreign matters which were selected from previous study, factors including detection rates, health adverse effects, annual production amounts and willingness to additional pay to reduce foreign matters in foods were quantitatively estimated. The highest risk score was estimated for metal-noodle combination followed by insect-noodle and metal-beverage combinations. The multifactorial risk assessment on foreign matters in food could provide useful information to support risk managers and scientist in complex decision making when various factors should be concerned and different food-foreign matter combinations are compared.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.1
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• pp.1-7
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• 2020

Fuzzy clustering, represented by FCM(Fuzzy C-Means), is a simple and efficient clustering method. However, the object function in FCM makes clusters affect clustering results proportional to the density of clusters, which can distort clustering results due to density difference between clusters. One method to alleviate this density problem is EDI-FCM(Extended Density-Independent FCM), which adds additional terms to the objective function of FCM to compensate for the density difference. In this paper, proposed is an enhanced EDI-FCM using regularization, Regularized EDI-FCM. Regularization is commonly used to make a solution space smooth and an algorithm noise insensitive. In clustering, regularization can reduce the effect of a high-density cluster on clustering results. The proposed method converges quickly and accurately to real centers when compared with FCM and EDI-FCM, which can be verified with experimental results.

• The Journal of Korean Society for School & Community Health Education
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• v.16 no.1
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• pp.51-63
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• 2015

목적: 사하라 이남 아프리카 지역 중저소득국가 모성보건지표의 더딘 개선율은 MDG 5(모자보건향상) 미달성의 주요 원인 중 하나로 꼽힌다. 따라서 본 연구는 우간다 동부 카프초르와 구의 모성사망과 밀접한 산후건강관리(PNC, Postnatal care)서비스 이용결정요인을 파악하는데 있다. 이를 통해 지역건강관리자들에게 PNC 서비스 이용 개선을 위한 정책 수립 및 방안 마련에 기초자료를 제공하고, 궁극적으로는 MDG 5 지표 개선에 일조하고자 한다. 방법: 표본 집단은 카프초르와 구의 15세~49세 여성들 중 최근 1년 내에 출산을 경험한 자들을 대상으로 편의추출 되었다. 조사기간은 2014년 7월부터 10월까지였으며, 구조화된 설문에 총 171명이 응답하였고, 19명의 주요 정보제공자와의 심층면담도 실시하였다. 응답자의 사회인구학적 특성 및 PNC 이용행태를 알아보기 위해 빈도분석을 실시하였으며, 각 독립변수가 PNC 이용에 어떤 영향을 미치는지 파악하기 위해 로지스틱 회귀분석을 실시하였다. 결과: 응답자의 55%만이 의료시설의 PNC 서비스를 받은 것으로 나타났다. 로지스틱 회귀분석을 통해서는 응답자의 연령과 사회적 네트워크, 인지된 건강상태, 산전관리서비스 이용이 PNC 서비스 이용에 긍정적인 영향을 미치는 것으로 나타났으며 의료시설과의 거리, 가족의 규모는 부정적인 영향을 미치는 것으로 나타났다. 결론: PNC 서비스 이용개선을 위해서는 먼저 여성의 사회적 자본 확충 및 개선을 위한 모성보건교육인 소프트 인프라 지원이 지자체 차원에서 실시되어야 할 것이며, 서비스 이용을 가능케 하고 접근성을 높이는 응급후송체계 구축과 같은 물리적 인프라 지원도 도입되어야할 것이다. 또한 가족계획 서비스를 제공하는 등 모성보건관리에 대한 지자체의 민감성을 높이는 것도 필요하겠다.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.85-94
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• 2022

This study is a descriptive study to investigate the influence of interpersonal relationships and self-esteem on communication skills of nursing freshmen in the untact era. The subjects of this study were 336 nursing freshmen at a university located in w city. The data was collected from 11st to 21st, May 2020. The collected data were analyzed by t-test, Person's correlation coefficient and multiple regression analysis. As a result of the study, the interpersonal skills of the subjects showed a positive correlation with self-esteem and communication skills, and it was found that there was a positive correlation between self-esteem and communication skills. The interpersonal sub-factors affecting communication skills were communication, understanding, openness, sensitivity, and satisfaction. Therefore, It is necessary to make efforts to improve communication skills of students enrolled in the nursing department in the untact era, and educational interventions and educational interventions that can enhance communication skills by utilizing interpersonal skills and self-esteem are needed.

• Korean Journal of Remote Sensing
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• v.28 no.1
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• pp.159-169
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• 2012

The purpose of this study was to assess the vulnerability of forest ecosystem to climate change in South Korea using socio-environmental indicators and the results of two vegetation models named as Hydrological and Thermal Analogy Group(HyTAG), and MAPSS-Century 1(MC1). The changing frequency and direction of biome types estimated by HyTAG model was used for quantifying sensitivity and adaptive capacity of forest distribution. Similarly, the variation and changing tendency of net primary production and soil carbon storage estimated by MC1 model was used for quantifying sensitivity and adaptive capacity of forest function. As socio-environmental indicators, many statistical data such as financial autonomy rate and the number of forestry officer was prepared. All indicators were standardized, and then calculated using the vulnerability assessment equation. The period of vulnerability assessment was divided into the past(1971-2000) and the future(2021-2050). To understand what policy has a priority to climate change, distribution maps of each indicators was depicted and the vulnerability results were compared among administrative districts. Evident differences could be found in entire study area. These differences were mostly derived from regionalspecific adaptive capacity. The result and methodology of this study would be helpful for the development of decision-making supporting system and policy making in forest management with respect to climate change.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.13-22
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• 2014

The right to be forgotten is a world-wide issue after the decision of the European Court of Justice which accepted that right. This essay discusses about the guide lines for protecting the right to delete, a category of the right to be forgotten. I classified those guide lines as follows : (1) sensitiveness of the personal information, (2) offensiveness to reasonable and ordinary people, (3) intention of writing the article, (4) value of historical record, (5) importance of privacy comparing with right to know with time flow, (6) public figure, (7) article based on fact or opinion. To effectively protect right to be forgotten and delete, we have to consider Privacy Impact Assessment, using blind system, unification of multiple institutions, and reforming press arbitration system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.627-632
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• 2021

ITL (information-theoretic learning) has been applied successfully to adaptive signal processing and machine learning applications, but there are difficulties in deciding the kernel size, which has a great impact on the system performance. The correntropy algorithm, one of the ITL methods, has superior properties of impulsive-noise robustness and channel-distortion compensation. On the other hand, it is also sensitive to the kernel sizes that can lead to system instability. In this paper, considering the sensitivity of the kernel size cubed in the denominator of the cost function slope, a new adaptive kernel estimation method using the rate of change in error power in respect to the kernel size variation is proposed for the correntropy algorithm. In a distortion-compensation experiment for impulsive-noise and multipath-distorted channel, the performance of the proposed kernel-adjusted correntropy algorithm was examined. The proposed method shows a two times faster convergence speed than the conventional algorithm with a fixed kernel size. In addition, the proposed algorithm converged appropriately for kernel sizes ranging from 2.0 to 6.0. Hence, the proposed method has a wide acceptable margin of initial kernel sizes.

• Information Systems Review
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• v.25 no.4
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• pp.291-314
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• 2023

The concept of Mydata emerged with the expansion of the data economy. MyData aims to empower individuals by enhancing their right to self-determination over their personal data. The use of MyData is expected to enable the provision of innovative service in various fields. Since 2022, MyData has been introduced and actively used in the financial sector. In the future, not only financial institutions but also Bigtech and Fintech companies are expected to actively join and demonstrate rapid expansion. To ensure steady growth for MyData in the financial sector, it is necessary to assess acceptance behaviors from multiple perspectives. However, the majority of existing research solely focuses on positive acceptance. This study analyzed the impact of users' personal characteristics and innovation characteristics on both innovation resistance and acceptance resistance. The analysis revealed that personal and innovation characteristics contribute to an increase in distrust and innovation resistance in the MyData service. In addition, it has been confirmed that it can lead to actions such as delayed acceptance and refusal to accept. The results of this study offer both theoretical and practical insights into user behavior within the MyData service market.

• Management & Information Systems Review
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• v.33 no.5
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• pp.213-232
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• 2014

Sensitivity to online store stimuli (VMD attributes) and response (online store loyalty) may depend upon consumers' regulatory focus (emotional state). In other words, consumers' sensitivity to online store atmosphere and consequent store loyalty can be influenced by the match between their regulatory focus (promotion focused vs. prevention focused) and the type of the online store VMD benefits Study 1 results indicate consumers have a different evaluation about online store atmosphere depending on their regulatory focus. Promotion-focused consumers were significantly more sensitive to visual appeal and entertainment attributes of online store atmospherics than prevention-focused consumers. Conversely, prevention-focused consumers were significantly more sensitive to security and privacy attributes of online store, than promotion-focused consumers. Study 2 results indicate for promotion-focused shoppers, hedonic value toward online store atmosphere was associated with greater online store loyalty. In contrast, prevention-focused shoppers were influenced more by the utilitarian attributes on online store loyalty than promotion-focused shoppers. The current findings indicate that shoppers with promotion-focused are more easily persuaded by visual and entertainment-oriented online store cues. Conversely, shoppers with prevention-focus are more easily persuaded by safety and privacy-oriented online store cues.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.57-70
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• 2021

As COVID-19 spreads, people's interest in smart learning that can do non-face-to-face learning is increasing nowadays. In this study, we aim to empirically analyze how users' thoughts on COVID-19 and the information quality and system quality of smart learning systems affect users' acceptance of smart learning and examine the effect of perceived sensitivity and severity of COVID-19 on the satisfaction and use of smart learning through concerns about the risk of transmission. In addition, we examined the influence of information quality composed of content quality and interaction quality and system quality composed of system accessibility and functionality on the use of smart learning through user satisfaction. To verify the validity of the proposed model, we conducted a survey on 334 users with experience in using smart learning, and performed the analysis using Smart PLS 3.0. According to the analysis results, among information quality and system quality, only functionality has a positive (+) effect on the satisfaction of smart learning, and satisfaction has a positive (+) effect on the usage behavior. However, it is found that accessibility among system quality do not affect satisfaction, and concern about the risk of transmission has a negative effect on satisfaction. This study can provide meaningful guidelines to researchers when researching smart learning to support students' learning in a pandemic situation of a new infectious disease, such as COVID-19. It will also be able to provide useful implications for educational institutions and companies related to smart learning.