• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.1
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• pp.39-48
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• 2016

The tacit knowledge transfer cultivate the value and mount of tacit knowledge. The tacit knowledge transfer plays the most important role for improving the competitiveness of the organization. Despite the tacit knowledge transfer is very important, the research related with tacit knowledge transfer has not been actively carried out. The barriers to tacit knowledge transfer interfere with the tacit knowledge transfer. The barriers to tacit knowledge transfer are lack of understanding knowledge experts, heavy over-work, insufficient compensation, trust shortage and knowledge stickiness. In order to overcome the barrier of the tacit knowledge transfer, it is necessary to promote knowledge broker. The knowledge broker is the foundation for the tacit knowledge transfer and the critical success factor for efficient tacit knowledge transfer. However, most research related on the knowledge broker had focused on the degree, centrality and density of the knowledge network. The framework is needed to performance indicator for diagnosing the tacit knowledge transfer. Therefore, we suggest the knowledge broker framework based on the social network analysis.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.1
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• pp.649-662
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• 2017

Since 1980, the number of universities have increased dramatically. However, compared to the quantitative growth, the lack of qualitative growth has often been criticized. Students entering university are estimated to decrease by half in 2025 compared to 2014. In swift response to challenges with decreasing student enrollment, the first University Reform Evaluation (URE) for innovating universities, was conducted and resulted in controversy. Opposition is based on distrust of the overall system, questioning the reliability of the evaluation process utilized for the URE evaluation index. Meta-evaluation is required to improve the quality of evaluation, and standards developed prior to conducting the URE. Therefore, an interdisciplinary approach is necessary for the evaluation of human resource development. This research uses the interdisciplinary approach from the human resources development point of view in attempting to develop meta-evaluation criteria which will enable effective evaluation and analysis of URE. The meta-evaluation standard features the creation of the ERPOU model, by conducting literature review, and considers data from expert symposiums, and surveys. The ERPOU model consists of 5 evaluation fields, 21 evaluation categories, and 42 evaluation standards.

• Journal of Navigation and Port Research
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• v.46 no.1
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• pp.1-10
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• 2022

This study aims to investigate changes in the demand for ship officers in response to changes in the shipping industry environment in which Maritime Autonomous Surface Ships (MASS) emerge according to the application of the fourth industrial revolution technology to ships, and it looks into changes in the skill of ship officer. It also analyzes and proposes a plan for nurturing ship officers accordingly. As a result of the degree of recognition and AHP analysis, this study suggests that a new training system is required because the current training and education system may cover the job competencies of emergency response, caution and danger navigation, general sailing, cargo handling, seaworthiness maintenance, emergency response, and ship maintenance and management, but tasks such as remote control, monitoring diagnosis, device management capability, and big data analysis require competency for unmanned and shore-based control. By evaluating the importance of change factors in the duties of ship officers in Maritime Autonomous Surface Ships, this study provides information on ship officer educational institutions' response strategies for nurturing ship officers and prioritization of resource allocation, etc. The importance of these factors was compared and evaluated to suggest changes in the duties of ship officers and methods of nurturing ship officers according to the introduction of Maritime Autonomous Surface Ships. It is expected that the findings of this study will be meaningful as it systematically derives the duties and competency factors of ship officers of Maritime Autonomous Surface Ships from a practical point of view and analyzed the perception level of each relevant expert to diagnose expert-level responses to the introduction of Maritime Autonomous Surface Ships.

• Journal of the Korean Society of Radiology
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• v.82 no.5
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• pp.1196-1206
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• 2021

Purpose To construct a standard dataset of contrast-enhanced CT images of liver tumors to test the performance and safety of artificial intelligence (AI)-based algorithms for clinical decision support systems (CDSSs). Materials and Methods A consensus group of medical experts in gastrointestinal radiology from four national tertiary institutions discussed the conditions to be included in a standard dataset. Seventy-five cases of hepatocellular carcinoma, 75 cases of metastasis, and 30-50 cases of benign lesions were retrieved from each institution, and the final dataset consisted of 300 cases of hepatocellular carcinoma, 300 cases of metastasis, and 183 cases of benign lesions. Only pathologically confirmed cases of hepatocellular carcinomas and metastases were enrolled. The medical experts retrieved the medical records of the patients and manually labeled the CT images. The CT images were saved as Digital Imaging and Communications in Medicine (DICOM) files. Results The medical experts in gastrointestinal radiology constructed the standard dataset of contrast-enhanced CT images for 783 cases of liver tumors. The performance and safety of the AI algorithm can be evaluated by calculating the sensitivity and specificity for detecting and characterizing the lesions. Conclusion The constructed standard dataset can be utilized for evaluating the machine-learning-based AI algorithm for CDSS.

• The Korean Journal of Nuclear Medicine
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• v.38 no.4
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• pp.288-293
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• 2004

Purpose: increased uptake of wrist and hand joints in three phase bone scintigraphy (TPBS) have been used in the detection of reflex sympathetic dystrophy syndrome (RSDS). TPBS frequently shows increased shoulder uptake in the hemiplegic RSDS patients. We investigated the significance of the shoulder uptake in the detection of these patients. Materials and Methods: Twenty three patients who had hemiplegia due to brain stroke and diagnosed as RSD were enrolled in this study (M:F=16:7, R:L=11:12). The mean age was $63{\pm}10$ yrs. Ter normal volunteer (mean age: $60{\pm}5$, M:F=1:9) data was used as control group. TPBS was performed $59{\pm}32$ days after stoke (acute stage). We obtained the count ratios of bilateral hands by drawing a region of interest (ROI) in three phase images and compared to the count ratios of shoulders in the delayed image. Hand ROI included an ipsilateral wrist. Sensitivity of detecting the affected limb was defined using the right/left count ratio of normal control. Results: Sensitivities using count ratios of hand blood flow, blood pool and delayed image were 45%, 76% and 78%, respectively. Sensitivity of shoulder count ratio was 74%. Log of right/left counts of hand delayed image and that of shoulder delayed image were correlated well with statistical significance (Spearman's R=0.824, p<0.001). Conclusion: Shoulder uptake showed good correlation with hand uptake in the delayed image of TPBS. Shoulder uptake maybe helpful in the diagnosis of reflex sympathetic dystrophy syndrome in patients with hemiplegia.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.2
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• pp.129-138
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• 2020

This study recognizes problems in the current system of providing navigation safety information (NSI), which is centered on merchant ships, to prevent maritime accidents of fishing boats and small vessels in coastal areas. The system proposed in this study is an effective method of providing NSI to support the safe navigation of small vessels such as fishing boats. First, the status and characteristics of recent maritime accidents were examined, and NSI service targets were identified. Second, the limitations of the current NSI system were determined, and measures were proposed to establish an NSI Integrated Platform (NSIP) that ensures the integration, accessibility, and usability of NSI for a substantial portion of the public. Third, to utilize the NSIP, various NSIs are applied as additional information for the electronic chart system used in the e-navigation ship terminals being developed in connection with the Korean e-navigation project. Functions that set the audiovisual alarm function to automatically operate when a ship enters a navigation risk zone is proposed. These functions are technically achieved by reviewing expert opinions of related organizations and professional producers. The results of this study suggest that NSI can be applied to small vessels such as fishing boats, through the Korean e-Navigation project, to prevent maritime accidents caused by the human error of navigators.

• Korean Chemical Engineering Research
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• v.54 no.3
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• pp.380-386
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• 2016

In this study, we described a paper-based neuraminidase assay sensor (PNAS) which can be applied to detect the infection by influenza viruses. The PNAS was designed and manufactured to quantitatively identify the levels of neuraminidase in the sample, which is based on colorimetric analysis using the X-Neu5Ac substrate. The limit of detection of the PNAS was determined as 0.004 U/mL of neuraminidase. According to the amount of neuraminidase in human serum, the PNAS could monitor the enzyme activity with a good linearity ($R^2$ > 0.99). In addition, the initial performance of the PNAS has been maintained up to 70 days in the $4^{\circ}C$. Finally, we demonstrated whether the Michaelis-Menten kinetics is applied to the PNAS, which can show the reliability of the enzyme reactions. The kinetic studies indicated that the PNAS provides the good condition for enzyme reactions ($K_m=8.327{\times}10^{-3}M$), but they were performed on paper chip nonetheless. The paper-based neuraminidase assay sensor may be useful in a wide range of rapid and safe detection of influenza virus.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.2
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• pp.165-172
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• 2010

In clinical data minig, choosing the optimal subset of features is such important, not only to reduce the computational complexity but also to improve the usefulness of the model constructed from the given data. Moreover the threshold values (i.e., cut-off points) of selected features are used in a clinical decision criteria of experts for differential diagnosis of diseases. In this paper, we propose a fuzzy discretization approach, which is evaluated by measuring the degree of separation of redundant attribute values in overlapping region, based on spatial distribution of data with continuous attributes. The weighted average of the redundant attribute values is then used to determine the threshold value for each feature and rough set theory is utilized to select a subset of relevant features from the overall features. To verify the validity of the proposed method, we compared experimental results, which applied to classification problem using 668 patients with a chief complaint of dyspnea, based on three discretization methods (i.e., equal-width, equal-frequency, and entropy-based) and proposed discretization method. From the experimental results, we confirm that the discretization methods with fuzzy partition give better results in two evaluation measures, average classification accuracy and G-mean, than those with hard partition.

• Proceedings of the Korean Vacuum Society Conference
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• 2010.08a
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• pp.3-3
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• 2010

이번 성원에드워드 학술상 수상자 선정은, 진공기술의 중요성에 공감하고 진공기술 발전을 위한 노력을 독려하자는 진공학회 회원들의 의견을 모아주신 결과로 생각한다. 본 발표에서는 그동안 한국표준과학연구원에서 수행해 온 진공 기술 연구 및 산학연 협력 네트워크 활동을 소개하고자 한다. 진공기술은 진공 환경을 발생시키고 측정 제어하며, 만들어진 진공 환경 안에서 원하는 작업을 할 수 있도록 하는 기술을 말한다. 우리나라의 주력산업인 반도체 및 디스플레이의 경우 그 생산 설비의 1/3이상이 진공 장비이며 진공 공정을 통해 만들어진다. 때문에 우리나라에서는 주력 산업분야나 그 전후방 산업의 경쟁력 강화 측면에서 진공기술 개발 중요성이 아주 크다. 한국표준과학연구원은 국가 대표 측정 기관으로 국가 측정 표준을 확립하고 측정관련 과학기술을 연구개발하며 그 성과를 보급하여 경제발전과 과학기술발전, 그리고 삶의 질 향상에 기여하는 것을 임무로 하고 있다. 우리나라에서 진공 측정 표준에 대한 연구가 본격적으로 시작된 것은 1984년으로 불용 장비로 불하받은 펌프와 챔버, 그리고 차관으로 도입된 Capacitance Diaphragm Gauge 몇 개만으로 시작되었다. 지금은 발전을 거듭하여 초음파 간섭 수은주 압력계를 비롯하여 정적 팽창시스템, 동적 팽창 시스템 등 진공도 범위별 국가 표준기와 리크 표준기를 자체 개발 하여 국가 측정 표준을 확립하고 있다. 우리나라의 진공 표준 및 측정 능력은 국제기구인BIPM에서 실시하는 국가 측정능력 비교시험을 통해 세계 최고 수준으로 인정 받은 바 있으며 교정검사 등을 통해 산학연에 보급되고 있다. 진공 측정 및 표준기술을 토대로, 1999년부터 과학기술부와 산업자원부의 지원을 받아 산학연이 필요로 하는 펌프 계측기 부품 소재 및 공정 특성을 평가하기 위한 장치와 절차를 개발하였다. 이를 이용해 보급되는 기술 data는 진공부품 및 장비 국산화, 국산제품 신뢰성 제고, 검증부품 사용을 통한 장비 품질 향상, 독자적 장비 기술 확보, 생산품 품질관리 등에 쓰이고 있다. 한국 표준연구원 진공센터의 교정 및 시험 능력은 ISO 9001 인증 획득과 국제 전문가의 review를 거쳐, 국제기구 측정능력표에 등재되어 있어 국제적 신뢰도도 확보하고 있다. 정기적인 진공기술 교류회를 개최하고 진공기술 홈페이지를 운영 하는 등 산학연 정보 교류 및 협력 네트워킹 활성화를 위해 노력한 바 있으며 이 분야의 연구 성과는 '국가 우수 연구성과 100선'에 선정된 바 있고, 산업자원부 지정 '산학연 연계 우수사례' 첫 번째로 선정되기도 하였다. 2008년부터는 진공기술 교류회 등을 통한 네트워킹 활동으로 도출된 기술 수요에 따라 대기업과 중소기업 학교 연구소들과 함께 진공공정 실시간 측정 진단 기술과 센서 개발 연구, 그리고 이들 개발품의 신뢰성 검증 및 평가 기술 개발을 위해 노력하고 있다.

• Journal of Cadastre & Land InformatiX
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• v.52 no.1
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• pp.17-36
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• 2022

The purpose of this study is to diagnose problems in the regulation and management of Restricted Development Zone and to prepare a construction plan to convert it to a data-based monitoring system. Unlike other land-use zones, the Restricted Development Zone is a exceptional zone that prohibits all development activities other than the minimum maintenance and must be strictly controlled and managed by the local government. However, the current Restricted Development Zone management is distributed according to the conditions of each local government, and it is not possible to monitor changes in the entire Restricted Development Zone as shown in the survey results. In particular, in this study, by introducing an AI-based monitoring system, MOLIT sends the results of detecting changes across the country at regular time points(monthly and quarterly) to the local governments based on the same regulation standards, and the local governments can be trusted while inputting the regulation results into the system. To propose this methodology, first, a survey and interview were conducted with local government officials and experts. Second, we analyzed cases in which AI analysis was applied to local governments and proposed a plan to improve the efficiency of regulation work according to the introduction of the monitoring system. Third, a plan was prepared to establish a monitoring system based on the advancement of the management information system. This monitoring system can be expanded and applied to land that needs periodic regulation and management in the future, and this study tried to propose a methodology and policy for this.