• Journal of KIISE:Software and Applications
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• v.34 no.3
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• pp.235-245
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• 2007

UUV(Unmanned Underwater Vehicle) should possess an intelligent control software performing intellectual faculties such as cognition, decision and action which are parts of domain expert's ability, because unmanned underwater robot navigates in the hazardous environment where human being can not access directly. In this paper, we suggest a RVC intelligent system architecture which is generally available for unmanned vehicle and develope an autonomous navigation system for UUV, which consists of collision avoidance system, path planning system, and collision-risk computation system. We present an obstacle avoidance algorithm using fuzzy relational products for the collision avoidance system, which guarantees the safety and optimality in view of traversing path. Also, we present a new path-planning algorithm using poly-line for the path planning system. In order to verify the performance of suggested autonomous navigation system, we develop a simulation system, which consists of environment manager, object, and 3-D viewer.

• Journal of East-West Nursing Research
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• v.26 no.2
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• pp.109-117
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• 2020

Purpose: We aimed to develop domains for the resilience improvement of unmarried mothers to prevent child abuse based on a nursing model of resilience. Methods: We conducted a literature review and in-depth interviews with unmarried mothers. Results: Based on Polk's nursing model of resilience, we derived 4 patterns, 10 domains, and 24 sub-domains for improving the resilience of unmarried mothers. Philosophical pattern includes the domain of parenthood preparation and dispositional pattern includes the domains of emotional support, control of emotions, and child abuse awareness correction. Situational pattern includes the domains of maternal health promotion, understanding of child development and improvement of parenting skills, and assessment of the domestic environment and modification of risk factors. Relational pattern includes the domains of enhancement of mother-infant attachment, family support, and social support. Conclusion: We identified domains for enhancing resilience based on the situational and personal characteristics of unmarried mothers. The results of this study may contribute to child abuse precention by promoting the resilience of unmarried mothers.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.1
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• pp.392-401
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• 2010

The purpose of the present study was intended to assess psycosocial stress of male researchers working in a Research Institute, and to reveal the relationship between psycosocial stress and coronary risk factors. Data were obtained from 356 male researchers who underwent health package check-up at the health promotion center of a university hospital from May to June 2007, using by self-administered questionnaire & health check-up. For psycosocial stress, we used the questionnaire with 18 items developed as Psychosocial Well-bing Index(PWI). For coronary risk factors, systolic and diastolic blood pressure(SBP, DBP), triglyceride(TG), total cholesterol(TC), high and low density lipoprotein cholesterol(HDL, LDL), fasting blood sugar(FBS) and % fat rate were measured. As a results, the level of psycosocial stress is influenced by socio-demographic characteristics, job-related characteristics and health-related behaviors. Especially, it was found to have the inter-relational effects that the higher the blood pressure, the higher the level of psycosocial stress.

• Journal of Distribution Science
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• v.14 no.7
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• pp.101-114
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• 2016

Purpose - The aim of this study is to investigate the benefit-sharing activities. They affect contract renewal intention between franchisers and franchisees that are linked through a contract with the intention of building their relationship from the level based on dynamic trust. This study will show a new approach on qualitative growth and consolidation of competitive power and may well be able to suggest practical ways to strengthen directions in the field of franchise industries. Research design, data, and methodology - In this study, based on literature review, we separated logistical-supporting activities and non-logistical-supporting activities from benefit-sharing activities. We modeled how benefit-sharing activities influence contract renewal intention of franchisees by dynamic trust. In particular, considering the possibility of trading concepts and characteristics of trust between providers opportunistic behaviors was defined as variables, depending on the situation and dynamic characters reveal their relationship trust concept. That is, dynamic trust having the possibility of changing depending on opportunistic risks and interdependencies by Lewis & Weigert(1985, 2012) was classified into transitional-based trust, calculated based trust, relational-based trust and balance-based on trust. The total of 104 samples from domestic franchisees being with franchisees were collected by using a structural composed questionnaire. Results - The results are as following. Benefit-sharing activities in logistical supporting activities appeared to affect the multidimensional concept of transitional trust, calculated based on trust, relationship-based trust and balance based on trust dynamic trust with all-defined impact. Non-logistical supporting activities appeared to affect significantly the positive (+) to the dynamic trust concept except transitional trust. Lewis & Weigert(1985; 2012) have proposed a dynamic confidence calculated from relations within-based trust relationship based on trust appears to affect the significant positive (+) to the balance-based confidence transactions confidence mechanism of the system side in the verified relationship. Finally, a relationship based on trust and confidence in the balance based on the Influence of dynamic renewed confidence showed significantly affect the positive(+). In particular, the balance based trust showed the acts as a mediating factors between relational trust and confidence and renew calculated. Conclusion - From the above these results, the significance from this study is as following. First, the proposed activity is to share and validate the approach by identifying the potential in the relationship from the contract with building dynamic trust, and one of the ways from the franchise headquarters and affiliated merchants mutual growth through win-win cooperation in sharing activities. Next, the dynamic segmentation confidence to suggest the possibility can be broken down over the validity and reliability test for each concept. In addition, by identifying the relationship between the dynamic level of confidence granular multi-dimensional concept, to determine the level of trust with a dynamic relationship between risk and interdependencies can be possible in franchise industries. In order to maintain and develop their mutual relationship, franchise industries should propose confidence-building steps to promote their quality improvement.

• Journal of Food Hygiene and Safety
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• v.35 no.6
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• pp.607-617
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• 2020

Human bio-monitoring (HBM) data is a very important resource for tracking total exposure and concentrations of a parent chemical or its metabolites in human biomarkers. However, until now, it was difficult to execute the integration of different types of HBM data due to incompatibility problems caused by gaps in study design, chemical description and coding system between different sources in Korea. In this study, we presented a standardized code system and HBM knowledge model (KM) based on relational database modeling methodology. For this purpose, we used 11 raw datasets collected from the Ministry of Food and Drug Safety (MFDS) between 2006 and 2018. We then constructed the HBM database (DB) using a total of 205,491 concentration-related data points for 18,870 participants and 86 chemicals. In addition, we developed a summary report-type statistical analysis program to verify the inputted HBM datasets. This study will contribute to promoting the sustainable creation and versatile utilization of big-data for HBM results at the MFDS.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.3
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• pp.1-16
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• 2012

Under the international business circumstance, global supply chain management is considered a vital strategic challenge to small and medium-sized enterprises(SMEs) suffering from deficient resources and capabilities to exploit overseas markets comparing with large corporations. That is because they can expand their business domains into overseas markets by establishing strategic alliances with global supply chain partners. Although a wide range of previous researches have emphasized the cooperative networks in the chain, most are ignoring the importance of developing relational characteristics such as trust and reciprocity with the partners. Besides, verifying the relational factors influencing firms' export performances, some studies proposed different and inconsistent factors. According to the social capital theory, which is the social quality and networks facilitating close cooperation of inter-individual and inter-organization, provides the integrated view to identify the relational characteristics in the aspects of network, trust and reciprocal norm. Meanwhile, a number of researchers shows that global entrepreneurship is the internal and intangible resource necessary to promote SMEs' internationalization. Upon closer examination, however, they cannot explain clearly its influencing mechanism in the inter-firm cooperative relationships. This study is to verify the effect of social capital accumulated within global supply chain on SMEs' qualitative and quantitative export performance. In addition, we shed new light on global entrepreneurship expected to be concerned with the formation of social capital and the enhancement of export performances. For this purpose, the questionnaires, developed through literature review, were collected from 192 Korean SMEs affiliated in Korean Medium Industries Association and Global Chief Executive Officer's Club focusing on their memberships' international business. As a result of multi-regression analysis, the social capital - network, trust and reciprocal norm shared with global supply chain partner - as well as global entrepreneurship - innovativeness, proactiveness and risk-taking - have positive effect on SMEs' export performances. Also global entrepreneurship affects positively social capital which has mediating effect partially in the relationship between global entrepreneurship and performances. These results means that there is a structural process - global entrepreneurship(input), social capital(output), and export performances(outcome). In other words, a firm should consistently invest in and develop the social capital with global supply chain partners in order to achieve common goals, establish strategic collaborations and obtain long-term export performances. Furthermore, it is required to foster the global entrepreneurship in an organization so as to build up the social capital. More detailed practical issues and discussion are made in the conclusion.

• Journal of Environmental Health Sciences
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• v.43 no.4
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• pp.298-306
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• 2017

Objectives: Since 1998, the Korea National Health and Nutrition Examination Survey (KNHANES) has been conducted in order to investigate the health and nutritional status of Koreans. The food intake data of individuals in the KNHANES has also been utilized as source dataset for risk assessment of chemicals via food. To improve the reliability of intake estimation and prevent missing data for less-responded foods, the structure of integrated long-standing datasets is significant. However, it is difficult to merge multi-year survey datasets due to ineffective cleaning processes for handling extensive numbers of codes for each food item along with changes in dietary habits over time. Therefore, this study aims at 1) cleaning the process of abnormal data 2) generation of integrated long-standing raw data, and 3) contributing to the production of consistent dietary exposure factors. Methods: Codebooks, the guideline book, and raw intake data from KNHANES V and VI were used for analysis. The violation of the primary key constraint and the $1^{st}-3rd$ normal form in relational database theory were tested for the codebook and the structure of the raw data, respectively. Afterwards, the cleaning process was executed for the raw data by using these integrated codes. Results: Duplication of key records and abnormality in table structures were observed. However, after adjusting according to the suggested method above, the codes were corrected and integrated codes were newly created. Finally, we were able to clean the raw data provided by respondents to the KNHANES survey. Conclusion: The results of this study will contribute to the integration of the multi-year datasets and help improve the data production system by clarifying, testing, and verifying the primary key, integrity of the code, and primitive data structure according to the database normalization theory in the national health data.

• Journal of Broadcast Engineering
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• v.23 no.5
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• pp.598-605
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• 2018

Behavior awareness is a technology that recognizes human behavior through data and can be used in applications such as risk behavior through video surveillance systems. Conventional behavior recognition algorithms have been performed using the 2D camera image device or multi-mode sensor or multi-view or 3D equipment. When two-dimensional data was used, the recognition rate was low in the behavior recognition of the three-dimensional space, and other methods were difficult due to the complicated equipment configuration and the expensive additional equipment. In this paper, we propose a method of recognizing human behavior using only CCTV images without additional equipment using only RGB and depth information. First, the skeleton extraction algorithm is applied to extract points of joints and body parts. We apply the equations to transform the vector including the displacement vector and the relational vector, and study the continuous vector data through the RNN model. As a result of applying the learned model to various data sets and confirming the accuracy of the behavior recognition, the performance similar to that of the existing algorithm using the 3D information can be verified only by the 2D information.

• The Journal of the Korea Contents Association
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• v.16 no.1
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• pp.52-59
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• 2016

For almost of concrete structures by placing in cold weather, it is very important that the selection of curing method at early aged construction stage. The Exothermic curing method with hot wire and rapid hardening cement is used mostly to prevent the initial cracks and the strength decrease. Most of the construction sites, however, have not been applied to the optimal curing method caused by the simple approaches and the empirical judgements. Therefore, this paper has proposed a evaluation algorithm of the exothermic curing method for representing heating temperature, period, position of hot wire by analyzing the transient heat transfer solution. This has been implemented, moreover, using an object oriented programming language to develop structural analysis system taking account risk parameters. This system is composed of input module, database module, database store module, analysis module, and result generation module. Linkage interface between the central database and each of the related module is implemented by the visual c# concept. Graphic user interface and the relational database table are supported for user's convenience.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.8
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• pp.1797-1804
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• 2015

Integrated log management system can help to predict the risk of security and contributes to improve the security level of the organization, and leads to prepare an appropriate security policy. In this paper, we have designed and implemented a Hadoop-based log analysis system by using distributed database model which can store large amount of data and reduce analysis time by automating log collecting procedure. In the proposed system, we use the HBase in order to store a large amount of data efficiently in the scale-out fashion and propose an easy data storing scheme for analysing data using a Hadoop-based normal expression, which results in improving data processing speed compared to the existing system.