• Journal of the Korean Operations Research and Management Science Society
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• v.13 no.1
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• pp.111-111
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• 1988

This paper identifies the current practice and problems of the performance appraisal system at a typical Korean company. We developed a general framework of performance appraisal system consisted of five subsystems. Along the components of this framework, we reviewed the internal documents and recent appraisal data in the firm, and analyzed the interview and questionnaire survey outcomes collected companywise. Main findings are as follows. The appraisal results are used solely for promotion decisions, and almost never for career development, rewarding, relocation and so on. The appraisal items are not clear in meaning, not comprehensive in scope, and do not adequately reflect characteristics of different jobs. The appraisal is made by superiors only, and needs to be complemented by peer and/or self reviews. The employees are appraised on the basis of subjective judgments of the superiors. The appraisal data are being accumulated, but due to inadequate formation and insufficient programs the database is not being used for the detection and correction of appraisal tendencies and errors. Appraisal results are not fedback to the employees for the constructive information exchange. Accordingly they perceive the effectiveness of the appraisal system as very poor. Finally, the implication of our finding for other companies is briefly discussed.

• Korean Management Science Review
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• v.13 no.1
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• pp.111-134
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• 1996

This paper identifies the current practice and problems of the performance appraisal system at a typical Korean company. We developed a general framework of performance appraisal system consisted of five subsystems. Along the components of this framework, we reviewed the internal documents and recent appraisal data in the firm, and analyzed the interview and questionnaire survey outcomes collected companywise. Main findings are as follows. The appraisal results are used solely for promotion decisions, and almost never for career development, rewarding, relocation and so on. The appraisal items are not clear in meaning, not comprehensive in scope, and do not adequately reflect characteristics of different jobs. The appraisal is made by superiors only, and needs to be complemented by peer and/or self reviews. The employees are appraised on the basis of subjective judgments of the superiors. The appraisal data are being accumulated, but due to inadequate formation and insufficient programs the database is not being used for the detection and correction of appraisal tendencies and errors. Appraisal results are not fedback to the employees for the constructive information exchange. Accordingly they perceive the effectiveness of the appraisal system as very poor. Finally, the implication of our finding for other companies is briefly discussed.

• Journal of Korean Society for Geospatial Information Science
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• v.13 no.1 s.31
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• pp.81-87
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• 2005

This paper is aimed at allocation analysis of TMS networks using GIS. Allocation analysis by TMS air pollution data in Incheon Metropolitan City shows that the land usage patterns of the TMS surrounding area have been changed. And land usage patterns shows that the most TMS was established in residential area. Therefore, it needs to relocation and additional establishment of TMS. If the existing TMSs would move into appropriate positions and proportional distribution method by means of population would be used, additional establishment of TMS could be minimized.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.16 no.1
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• pp.92-102
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• 2009

Purpose: Relocation stress is a common phenomenon in patients discharged from an intensive care unit(ICU) to a ward. Therefore, nurses need to be aware of the problems that can arise during the transfer process. The aim of this study was to identify nurses' experiences in transferring critically ill patients from the ICU to a ward. Method: Focus group interviews were done with 13 nurses from wards and ICU, which participated in receiving and sending of ICU patients. The debriefing notes and field notes were analyzed using the consistent comparative data analysis method. Result: Seven major categories were identified in the analysis of the data. These were 'mixed feeling about transfer', 'lack of transfer readiness', 'increase in family burden', 'uncertainty with unfamiliar environment', 'difficulty in decision making', 'difference of perception of the relationships between patients and health care providers', 'need for continuity of nursing care'. Conclusion: Transferring out of the critical care area should be presented to the patient and family as a positive step in the recovery process. However, a more universal method of passing information from nurse to nurse is needed to assist in a smooth transition.

• Journal of Astronomy and Space Sciences
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• v.33 no.4
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• pp.345-348
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• 2016

In December 2015, we have installed neutron monitor at the Jang Bogo station in Antarctica. The Jang Bogo station is the second science station which is located at the coast ($74^{\circ}\;37.4^{\prime}S$, $164^{\circ}\;13.7^{\prime}E$) of Terra Nova Bay in Northern Victoria Land of Antarctica. A neutron monitor is an instrument to detect neutrons from secondary cosmic rays collided by the atmosphere. The installation of neutron monitor at Jang Bogo station is a part of transferred mission for neutron monitor at McMurdo station of USA. Among 18 tubes of 18-NM64 neutron monitor, we have completed relocation of 6 tubes and the rest will be transferred in December 2017. Currently, comparison of data from both neutron monitors is under way and there is a good agreement between the data. The neutron monitor at Jang Bogo station will be quite useful to study the space weather when the installation is completed.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.4
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• pp.9-17
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• 2020

When IoT sensor nodes are deployed in areas where data collection is challenging, sensors must be relocated if sensing holes occur due to improper placement of sensors or energy depletion, and data collection is impossible. The sensing hole's cluster header transmits a request message for sensor relocation to an adjacent cluster header through a specific relay node. However, since a specific relay node is frequently used, a member sensor located in a specific cluster area adjacent to the sensing hole can continuously receive the movement message. In this paper, we propose a method that avoids the situation in which the sensing hole cluster header monopolizes a specific relay node and allows the cluster header to use multiple relay nodes fairly. Unlike the existing method in which the relay node immediately responds to the request of the header, the method proposed in this paper solves a ping-pong problem and a problem that the request message is concentrated on a specific relay node by applying a method of responding to the request of the header using a timer. OMNeT++ simulator was used to analyze the performance of the proposed method.

• Journal of Intelligence and Information Systems
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• v.14 no.2
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• pp.193-206
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• 2008

Medical diagnosis can be considered a classification task which classifies disease types from patient's condition data represented by a set of pre-defined attributes. This study proposes a hybrid genetic algorithm based classification method to develop classifiers for multidimensional pattern classification problems related with medical decision making. The classification problem can be solved by identifying separation boundaries which distinguish the various classes in the data pattern. The proposed method fits a finite number of regional agents to the data pattern by combining genetic algorithms and local adaptive operations. The local adaptive operations of an agent include expansion, avoidance and relocation, one of which is performed according to the agent's fitness value. The classifier system has been tested with well-known medical data sets from the UCI machine learning database, showing superior performance to other methods such as the nearest neighbor, decision tree, and neural networks.

• Korean Journal of Remote Sensing
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• v.27 no.6
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• pp.637-651
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• 2011

This study presents a rule-based urban image classification method for time series analysis of changes in the vicinity of Asan-si and Cheonan-si in Chungcheongnam-do, using Landsat satellite images (1991-2006). The area has been highly developed through the relocation of industrial facilities, land development, construction of a high-speed railroad, and an extension of the subway. To determine the yearly changing pattern of the urban area, eleven classes were made depending on the trend of development. An algorithm was generalized for the rules to be applied as an unsupervised classification, without the need of training area. The analysis results show that the urban zone of the research area has increased by about 1.53 times, and each correlation graph confirmed the distribution of the Built Up Index (BUI) values for each class. To evaluate the rule-based classification, coverage and accuracy were assessed. When Optimal allowable factor=0.36, the coverage of the rule was 98.4%, and for the test using ground data from 1991 to 2006, overall accuracy was 99.49%. It was confirmed that the method suggested to determine the maximum allowable factor correlates to the accuracy test results using ground data. Among the multiple images, available data was used as best as possible and classification accuracy could be improved since optimal classification to suit objectives was possible. The rule-based urban image classification method is expected to be applied to time series image analyses such as thematic mapping for urban development, urban development, and monitoring of environmental changes.

• Journal of the Korean Geographical Society
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• v.46 no.1
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• pp.20-35
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• 2011

This study suggested the systematic steps for quality control, construction of the climatological reference series and homogeneity test and adjustment of temperature series in the Republic of Korea. It also attempted to evaluate more accurate magnitude of change using adjusted temperature data. All erroneous values produced by quality control were detected by internal inconsistency check. The method selected for homogeneity test in this study well defined fairly correct signals of station relocations. Therefore, this method might be regarded as the appropriate one to test homogeneity of temperature series of the Republic of Korea. The increase of temperature of the Republic of Korea after the adjustment were bigger than before the adjustment of annual and seasonal mean temperature. Adjusted temperature data produced by these steps will enable to evaluate more accurate characteristics and magnitude of climate change.

• Journal of the Korean Regional Science Association
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• v.40 no.3
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• pp.95-108
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• 2024

This study analyzes the location determinants of newly established and relocated manufacturing firms in South Korea using the National Business Survey data from 2016 to 2019. Both new establishments and relocations are concentrated in the Seoul metropolitan area, Chungcheong, Yeongnam, and Daegyeong regions, with relocated firms showing a higher degree of spatial concentration. Employing a negative binomial regression model, we find that manufacturing concentration, population density, industrial diversity, and lower wage levels positively influence both new establishments and relocations. The proportion of highly educated workers, accessibility to producer services, and average land prices only positively affect the frequency of new establishments, suggesting that firms in the early stages of their life cycle, which are more dependent on human capital and producer services, demonstrate a higher willingness to pay for land use. Conversely, increased travel time to Seoul and improved transportation accessibility enhance the probability of attracting relocated firms. This implies that cost reduction incentives associated with distance from Seoul may outweigh the benefits of proximity to the capital in relocation decisions. Our findings suggest that strengthening agglomeration economies and improving transportation infrastructure efficiency could increase the likelihood of attracting relocated manufacturing firms to non-capital regions.