• Therapeutic Science for Rehabilitation
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• v.13 no.1
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• pp.35-47
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• 2024

Objective : This study aimed to investigate the association between lifestyle factors and risk of frailty and depressive symptoms among older South Korean adults. Methods : This study included 10,072 individuals aged 65 or older from the 2017 National Survey of Older Koreans, a cohort of community-dwelling older South Koreans. The following lifestyle factors were assessed: physical activity, nutrition management (NM), and leisure/social activity participation (AP). Frailty was measured using the frail scale and depressive symptoms were measured using the Geriatric Depression Scale. Logistic regression analyses were performed to determine the odds ratios. Results : All lifestyle factors were associated with the risk of frailty and depressive symptoms in the study population. Regular exercise (≥3 times/wk, odds ratio [OR] = 0.59, 95% confidence interval [95% CI] = 0.52~0.91; OR = 0.66, 95% CI = 0.59~0.75), active NM (OR = 0.86, 95% CI = 0.80~0.91; OR = 0.81, 95% CI = 0.76~0.86), leisure AP (OR = 0.79, 95% CI = 0.74~0.84; OR = 0.71, 95% CI = 0.66~0.77) and social AP (OR = 0.92, 95% CI = 0.88~0.96; OR = 0.82, 95% CI = 0.78~0.87) were correlated with lower odds ratios of frailty and depressive symptoms. Conclusion : Adopting a healthier lifestyle characterized by regular exercise, balanced nutrition, and active engagement in various activities can effectively reduce the risk of frailty and depressive symptoms among the older population. Ultimately, this study emphasized the essential role of lifestyle choices in promoting the physical and mental well-being of older adults.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.107-129
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• 2022

It is important to preempt new technology because the technology competition is getting much tougher. Stakeholders conduct exploration activities continuously for new technology preoccupancy at the right time. Gartner's Hype Cycle has significant implications for stakeholders. The Hype Cycle is a expectation graph for new technologies which is combining the technology life cycle (S-curve) with the Hype Level. Stakeholders such as R&D investor, CTO(Chef of Technology Officer) and technical personnel are very interested in Gartner's Hype Cycle for new technologies. Because high expectation for new technologies can bring opportunities to maintain investment by securing the legitimacy of R&D investment. However, contrary to the high interest of the industry, the preceding researches faced with limitations aspect of empirical method and source data(news, academic papers, search traffic, patent etc.). In this study, we focused on two research questions. The first research question was 'Is there a difference in the characteristics of the network structure at each stage of the hype cycle?'. To confirm the first research question, the structural characteristics of each stage were confirmed through the component cohesion size. The second research question is 'Is there a pattern of diffusion at each stage of the hype cycle?'. This research question was to be solved through centralization index and network density. The centralization index is a concept of variance, and a higher centralization index means that a small number of nodes are centered in the network. Concentration of a small number of nodes means a star network structure. In the network structure, the star network structure is a centralized structure and shows better diffusion performance than a decentralized network (circle structure). Because the nodes which are the center of information transfer can judge useful information and deliver it to other nodes the fastest. So we confirmed the out-degree centralization index and in-degree centralization index for each stage. For this purpose, we confirmed the structural features of the community and the expectation diffusion patterns using Social Network Serice(SNS) data in 'Gartner Hype Cycle for Artificial Intelligence, 2021'. Twitter data for 30 technologies (excluding four technologies) listed in 'Gartner Hype Cycle for Artificial Intelligence, 2021' were analyzed. Analysis was performed using R program (4.1.1 ver) and Cyram Netminer. From October 31, 2021 to November 9, 2021, 6,766 tweets were searched through the Twitter API, and converting the relationship user's tweet(Source) and user's retweets (Target). As a result, 4,124 edgelists were analyzed. As a reult of the study, we confirmed the structural features and diffusion patterns through analyze the component cohesion size and degree centralization and density. Through this study, we confirmed that the groups of each stage increased number of components as time passed and the density decreased. Also 'Innovation Trigger' which is a group interested in new technologies as a early adopter in the innovation diffusion theory had high out-degree centralization index and the others had higher in-degree centralization index than out-degree. It can be inferred that 'Innovation Trigger' group has the biggest influence, and the diffusion will gradually slow down from the subsequent groups. In this study, network analysis was conducted using social network service data unlike methods of the precedent researches. This is significant in that it provided an idea to expand the method of analysis when analyzing Gartner's hype cycle in the future. In addition, the fact that the innovation diffusion theory was applied to the Gartner's hype cycle's stage in artificial intelligence can be evaluated positively because the Gartner hype cycle has been repeatedly discussed as a theoretical weakness. Also it is expected that this study will provide a new perspective on decision-making on technology investment to stakeholdes.

• Proceedings of the Conference
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• 2005.06a
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• pp.33-45
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• 2005

현재 지역산업진흥계획이 수립되기까지 수도권 억제와 지역경제 활성화를 위한 다양한 정책 및 법령들이 수립${\sim}$제정되어 왔으나, 그 성과는 미흡하였고, 첨단산업과 지역의 발전을 함께 추구한 과학기술 집적지 조성정책도 연구기관과 산업체간의 기술개발에 대한 수급의 불일치, 지역별 특성화와 차별화 미흡, 사업간 연계성 부족 등으로 성과는 미약하였다. 중앙 부처에서 다양한 지역산업 관련 기술개발 지원사업도 전개해 왔으나, 부처별로 독자적으로 사업을 추진하여, 정책 상호간의 연계성이 부족하고 투자 효율성이 저조하여, 산업자원부에서 산업발전법에 근거하여 2002년 '지역산업진흥계획'을 수립하였다. 이 계획은 지역별 전략산업을 중심으로 한 지역혁신체제 구축에 초점을 두고 있으며, 지역의 내생적 성장을 위한 네트워크 형성, 투입요소 증대에서 지역 산업경쟁력 강화로의 전환, 중앙정부와 지자체의 공동 계획입안 등에서 기존의 정책들과 차이를 보인다. 지역산업정책의 최종목표는 '지역균형발전'이며, 중간목표는 '지역산업의 활성화'라고 할 수 있다. '지역산업의 활성화'를 위한 기본전략으로 '3개 권역별 전략산업 집중 육성'과 '제도적 기반 구축'을 제시하고 있다. 이러한 기본전략은 매우 포괄적이어서 정책수단으로 보기에는 무리가 있다. 따라서 이러한 기본전략 하에 추진하고자하는 사업들을 검토하고 평가의 목적에 맞게 유형화함으로써 동지역균형발전과 지역경쟁력의 강화이며, 그 기본전략으로는 지자체의 역할제고를 바탕으로 한 전략산업 중심의 지역혁신체제(Regional Innovation System : RIS) 구축을 제안하고 있다. 지역 내에서는 각 조직 간의 역할분담이나 연계가 이루어지지 않아 인력과 재원 및 특정분야에 대한 중복투자 문제가 지적되고 있으며 각각 소규모여서 규모의 경제효과를 꾀할 수 없고 경제적 효과가 가시화되는 데에는 오랜 시일이 걸리고 있고, 지역의 산업발전을 체계적으로 기획하고 지역내 다양한 이해관계를 조정하는 총괄 추진기구가 없어 효율적인 지역산업육성에 한계가 있었다. 지방정부의 과학기술예산 및 전담조직, 산업경제예산 및 전담 조직의 부족과 미 정착으로 독자적인 지역과학기술정책이나 지역산업정책은 물론이고 지역혁신정책을 수행하기 어려웠으나, 지역의 특성과 잠재력에 맞는 사업을 발굴하여 중앙정부에 건의하고 지역 내 각 프로젝트를 총괄 조정하는 중개자 역할을 지역전략산업기획단이 그 역할을 수행하고 있다. 지역혁신체제의 중심기관으로 중개기관과 협력 프로그램에 의한 플랫폼 구축 및 지역산업발전의 기획${\sim}$조정기구로서, 선진국의 지역발전기구(Regional Development Agency : RDA)인 지역전략산업기획단이 2002년도부터 산업자원부와 9개 시도에 의해 설립되어 지역네트워크의 활성화와 클러스터의 형성 촉진을 하게 되었고 2004년도에는 13개시도로 확대${\sim}$운영되고 있고, 지역특화사업(H/W)과 지역산업기술개발과제(S/W)와 함께 패케지 형태로 지원되며, 주요역할은 크게 지역산업의 정책기획 분야와 평가관리, 지역혁신역량 조사 및 DB구축 등으로 구분된다. 그중에서도 권역별, 지역별, 지역산업진흥사업 육성과 중장기 산업발전계획을 수립하기 위하여 지역혁신역량을 바탕으로 한 지역 Technology Road Map(TRM)작성사업은 전국공통의 1단계 사업으로 실시 ?榮쨉?, 2005년 3월 기준으로 9개 지역(강원, 대전, 충남, 충북, 경북, 울산, 전남, 전북, 제주) 26개 산업분야를 대상으로 23개가 완료된 상황이다. 이를 근거로 한 지역정책과 R&D 과제 및 필요 인프라의 도출이 체계적으로 구축되어 지역산업 발전을 위한 기술역량이 강화될 것이다.

• Korean Journal of Environmental Agriculture
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• v.38 no.4
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• pp.273-280
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• 2019

BACKGROUND: The reclaimed lands for agricultural use managed by the Korean government is consisted of 17,145 hectares of lands under construction and 13,384 hectares of completed lands. In order to utilize these reclaimed lands as competitive agricultural complexes, the government is preparing to develop comprehensive development plans for multiple purposes. For rational land-use planning and soil management, information of the soil chemical properties is necessary. METHODS AND RESULTS: From 2013 to 2016, soil samples were collected from 85 representative sampling sites of the reclaimed lands and analyzed for soil chemical properties including electric conductivity (EC), pH, soil organic matter (SOM), and nutrients. The annual mean soil EC ranged from 5.1 to 8.3 dS m^-1 and have continued to decrease over the years (estimation equation with EC as dependent and year as independent variable was y =0.0736x² - 1.4985x + 9.8305, R² = 0.9753). The pH ranged from 7.3 to 7.6, which was higher than the optimum range (5.5~7.0) for agricultural soils. Soil organic matter (8 to 11 g kg^-1) was lower level than the optimum range (20~30 kg^-1). Available silicate (Av.SiO₂) ranged from 169 to 229 mg kg^-1, which was close to the minimum content (≥157 mg kg^-1) for rice paddy field. Available phosphate (Av.P₂O₅) content (24~39 mg kg^-1) was lower than the optimum range (80~120 mg kg^-1) for rice paddy field. CONCLUSION: For efficient agricultural use of reclaimed lands under government management, our results suggest that the application of organic matter and supplying deficient nutrients as well as desalinization is required.

• The Journal of Society for e-Business Studies
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• v.21 no.2
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• pp.47-59
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• 2016

Parcel service is to deliver goods from one place to the designated destination requested according to user request. Parcel operations such as sorting, distributing, etc. or the managed information are heterogeneous by the companies. Additionally, it is impossible to support interoperability between companies with unformatted data of manual processing. Most parcel package boxes attached to paper typed waybill is attached is delivered to consignee. So, security problems such as personal information leaking are occurred, or extra processing time and logistics costs are needed due to wrong or the damaged information. Business environment of parcel service is rapidly changed as introducing unmanned delivery or the advanced technology such as Internet of Things. User want to know the accurate status or steps from parcel service request to delivery. To provide these requirements, the unified and integrated waybill information for reliable transportation of parcel service is needed. This information will provide to pickup or delivery carrier, warehouse or terminal, and parcel service user per pickup, transport, and delivery stage of parcel delivery service. Therefore, this paper defines the simplified and unified information model for parcel service waybill by analyzing information systems used for logistics unit processes that is occurred to parcel service, and manual work processes, and developing the relevant information of work flows occurred between business processes or transactions with the collected or processed information by from parcel service's stages. It is possible to share these standard model between business entities, and replacing paper typed waybill will improve national life safety as preventing security threats by paper typed waybill. As a result, it will promote the public interest from the stakeholder's perspective.

• The Journal of Society for e-Business Studies
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• v.20 no.4
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• pp.193-208
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• 2015

In knowledge based society, information technology (IT) has been playing a key role in economic growth. In recent years, it is surprisingly notable that the source of value creation moved from hardware to software in IT industry. Especially, among many kinds of software products, the economic potential of open source was realized by many government agencies. Open source means software codes made by voluntary and open participation of worldwide IT developers, and many policies to promote open source activities were implemented for the purpose of fast growth in IT industry. But in many cases, especially in Korea, the policies promoting open source industry and its ecosystem were not considered successful. Therefore, this study provides the practical reasons for the low performance of Korean open source industry and suggests the pragmatic requisites for effective open source policy. For this purpose, this study applies soft system model (SSM) which is frequently used in academy and industry as a methodology for problem-solving and we link the problems with corresponding policy solutions based on SSM. Given concerns which Korean open source faces now, this study suggests needs for the three different kinds of government policies promoting multiple dimensions of industry: research and development (R&D)-side, supply-side, and computing environment-side. The implications suggested by this research will contribute to implement the practical policy solutions to boost open source industry in Korea.

• Korean Journal of Ecology and Environment
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• v.43 no.3
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• pp.349-355
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• 2010

This study aims at the augmentation of reliability of the long-term rainfall runoff model. To do so agricultural water uses are evaluated by analyzing the effects of small scale irrigational hydraulic structures on long term runoff processes and thereby rainfall-runoff model is modified considering them. As a result the simulation results of the sub-basins having more agricultural reservoirs than the others are disagreed with the observations. The 2nd quarter simulation results show similar trend to it. Especially the farming seasonal results of the drought year as the year of 2008 have many negative discharge values due to the lack of agricultural water uses. This result come from the water uses input data corresponding to not real water uses but water demands. In this study the formulas are derived to estimate the discharges and return ratios and the long term rainfall-runoff model is reformulated based on these. It is confirmed that the errors of the simulation results could be reduced by considering the effects of small scale irrigational hydraulic structures and the reliability of the simulation results improved greatly.

• Journal of fish pathology
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• v.10 no.2
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• pp.75-86
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• 1997

Solid phase enzyme linked immunosorbent assay (ELISA) was developed to detect the whole cells of Edwardsiella tarda from infected tissues of flounder. Cross-reaction test was performed by ELISA against fish pathogens such as A. hydrophila ATCC7966. V. anguillarum HYUFP5001, Y, ruckeri 11-4, E. ictaluri and Streptococcus sp. NG8206. Rabbit anti-E, tarda Edk-2 sera highly cross-reacted with A. hydrophila ATCC7966 and V. anguillarum HUFP5001. However, the cross-reaction was removed by using the anti-serum pre-adsorbed with A, hydrophila ATCC7966 FKC. The intra-species cross-reaction among E. tarda isolates was very high. ELISA with the whole cell antigens present in tissue homogenate appeared with highly decreased sensitivity, presumably by the co-coating of lipid or proteins in tissues. Thus, it would be necessary to use the infected tissue homogenates diluted more than 100 times with PBS for diagnosis. Interestingly, compared with the using of FKC antigen, the direct detection of viable cells in tissue homogenate showed more sensitive results with detection limit of $1{\times}10^3$ cells/ml in buffer or diluted tissue homogenate. Consequently, the ELISA method developed in this study was specific, rapid and sensitive for diagnosing edwardsiellosis.

• Journal of Technology Innovation
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• v.24 no.2
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• pp.1-20
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• 2016

This case is to analyze the structure of technology convergence with social network analysis. More specifically, the convergence structure among input technologies mediated with products is analyzed with 2-mode social network analysis. Products are identified in project's goal and coded as the Korea Standard Industrial Classification. The input technologies are coded as the National Science Technology Classification. The subjects were 401 R&D projects applied to '2012 Convergence Technology Development Project for Small and Medium Businesses' promoted by Korea Technology & Information Promotion Agency for Small and Medium Enterprises. IT sectors had the structure of a particular input technology connected to many products, BT sectors also had a few input technology connected to many products but most were connected to specific products. Therefore We have realized that each convergence area had different convergence structure. There were the difference of connectivity centrality between input technologies and input technologies mediated with products. For IT sectors, the embedded S/W were the highest in both cases. For BT sectors, functional cosmetic development and fermentation technology were the highest in input technologies but fermentation technology was not the highest in input technologies mediated with products. This case defines the convergence based on the real projects and the use for managing and planing projects. Therefore, this case was to make a tool to analyze and design technology convergence projects.

• Journal of Information Management
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• v.41 no.2
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• pp.47-69
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• 2010

Open innovation is a phenomenon that has been widely accepted by both practice and theory over the last few years. On the contrary, partner relationships have attracted little attention while the open innovation could not be emerged without the link to partners. This paper identifies and evaluates a framework for the partner relationships and open innovation processes. Based on the literatures regarding open innovation and partner relationships, we propose the framework of matrix type. We present results based on 352 open innovation cases reported during 2002-2009, and each case is classified into 5 different categories of the framework. JV-C(Joint Venture relationship & Coupled process) archetype has dominated the cases with 178 cases(50.6%) where JV-O(Joint Venture relationship & Outside-In process) follows JV-C with 124 cases(35.2%). No significant change has been found in the number of cases after 2003 when open innovation firstly suggested. However, the number sharply increases in 2009 by boom in JV-C and JV-O. These results show the importance of partner relationships and preference toward Joint Venture relationship in open innovation, while the conventional approaches has just focused on value-chain partnership. We find remarkable collaboration cases contributed by universities and government invested research centers, so the role of non-profit R&D organizations has also been discussed.