• 대한산업공학회지
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• 제36권1호
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• pp.32-41
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• 2010

DEA(Data Envelopment Analysis) is the relative efficiency measure among homogeneous DMU(Decision- Making Units) which can be used to useful tool to improve performance through efficiency evaluation and benchmarking. However, the general case of DEA was considered as unrealistic since it consists a benchmarking regardless of DMU characteristic by input and output elements and the high efficiency gap in benchmarking for inefficient DMU. To solve this problem, stratification method for benchmarking was suggested, but simply presented benchmarking path in repeatedly applying level. In this paper, we suggest a new method that inefficient DMU can choice the optimal path to benchmark the most efficient DMU base on the similarity among the input elements. For this, we propose a route choice method that combined a stratification benchmarking algorithm and SOM (Self-Organizing Map). An implementation on real environment is also presented.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2007년도 추계종합학술대회
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• pp.457-461
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• 2007

In many applications, received signal strength indicator is used for location tracking and sensor nodes localization. For location finding, the distances between sensor nodes can be estimated by converting received signal's power into distance using path loss prediction model. Many researches have done the analysis of power-distance relationship for radio channel characterization. In indoor environment, the general conclusion is the non-linear variation of RSSI values as distance varied linearly. This has been one of the difficulties for indoor localization. This paper presents works on indoor RSSI characterization based on statistical methods to find the overall trend of RSSI variation at different places and times within the same room From experiments, it has been shown that the variation of RSSI values can be determined by both spatial and temporal factors. This two factors are directly indicated by the two main parameters of path loss prediction model. The results show that all sensor nodes which are located at different places share the same characterization value for the temporal parameter whereas different values for the spatial parameters. Using this relationship, the characterization for location estimation can be more efficient and accurate.

• 한국품질경영학회:학술대회논문집
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• 한국품질경영학회 2006년도 춘계학술대회
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• pp.120-125
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• 2006

This study attempts to investigate a general service sector model which aims to describe the extent to which customer repurchase intention is influenced by customer satisfaction, customer loyalty, switching cost. 195 consumers in service sector were used into data analysis. The data were analyzed by factor analysis and Structural Equation Model using SPSS and AMOS program. The results show that nearly all of the hypothesized relationships construct are supported. First, the direct effects of customer satisfaction on customer loyalty and switching cost were com firmed. The service company not only strengthens customer loyalty, but also strategically makes the most use of switching cost to satisfy customer satisfaction and create sustainable company advantages. Second, the interactive relationships among switching cost and customer loyalty were very significant. The proper management of these mediating variables plays key roles in connecting customer satisfaction with repurchase intention. Third, the effects of customer loyalty and brand preference on repurchase intention were supported but switching cost rejected in the path analysis. Implications of the results for path analysis are discussed and future research directions are offered.

• 경영정보학연구
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• 제8권1호
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• pp.101-123
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• 2006

본 연구의 주요목적은 쇼핑몰사이트를 전문쇼핑몰과 종합쇼핑몰로 구분하고 각 쇼핑몰에서의 고객만족과 신뢰이후 고객애호도 형성프로세스를 규명하는 것이다. 기존 연구를 통해 연구모형과 그에 따른 연구가설을 수립하고 구조방정식 모형을 통해 관련된 가설을 검정하였다. 종합인터넷쇼핑몰과 전문인터넷쇼핑몰에서의 경로분석 결과의 차이를 분석하고 그에 따른 실무적 시사점을 모색했다. 인터넷 쇼핑몰의 형태에 관계없이 만족과 신뢰 형성이후 태도와 관계몰입을 통해서 고객애호도로 이어지는 관계마케팅적인 연결프로세스 관리가 매우 중요함을 알 수 있었다. 세부적으로는 고객 만족과 고객충성 및 고객만족과 태도의 프로세스 형성에 있어서 전문쇼핑사이트가 종합쇼핑사이트보다 고객애호도 형성프로세스에 보다 장기간의 노력과 투자가 요구됨을 확인할 수 있었다.

• 한국정보처리학회논문지
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• 제4권2호
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• pp.491-498
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• 1997

지리 정보 시스템((Geograghic Information System:GIS)은 컴퓨터 능력의 향상 으로 제한된 분야에서 일반적인 분야의 업무에 확대 적용되고 있다. 우편 종합 정보 서비스의 일환으로 개발된 우편 경로 최적화 시스템((PROS:Postal Route Optimization System)은 우편 배달의 경로를 빠른 시간에 제공할 수 있도록 최단 경로 생성기, 등거리 생성기, 경로 재배치 생성기, 생성기들의 기반이 되는 GIS 엔진, 도로 지도 그리고 관련 데이터베이스 등으로 구성하였다. 본 논문은 경로 최적화 시스템 모델에 적용한 최단 경로 생성 알고리즘(SPAWD;Shortest Path Algorithm With Direction)에 대한 것으로 기존의 최단 경로 생성 방법과 달리 시작점과 도착점간의 도로들에 대하여 방향성을 부여하여, 최종 목적지를 빠른 시간에 결정하여 주는 알고리즘을 제시하였다. 또 한 기존에 발표된 최단 경로 생성 알고리즘에 대하여 비교 및 분 석하고, 추후 연구 방향을 제시하였다.

• International Journal of Precision Engineering and Manufacturing
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• 제1권2호
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• pp.67-75
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• 2000

virtual computer numerical control(VCNC) arises from the concept that one can experience pseudo-real machining with a computer-numerically-controlled(CNC) machine before actually cutting an object. To achieve accurate VCNC, it is important to determine abnormal behavior, such as chatter, before cutting. Detecting chatter requires an understanding of the dynamic cutting force model. In general, the cutting process is a closed loop system the consists of structural and cutting dynamic. Machining instability, namely chatter, results from the interaction between these two dynamics. Several previous reports have predicted stability for a single path, using a simple cutting force model without run out and penetration effects. This study considers both tool run out and penetration effects, using experimental modal analysis, to obtain predictions that are more accurate. The machining stability during a corner cut, which is a typical transient cut, was assessed from an evaluation of the cutting configurations at the corner.

• 지역연구
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• 제13권2호
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• pp.75-92
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• 1997

This paper is concerned with an estimation of optimal investment of road sector in 1996-2005. The main method is a Computable General Equilibrium (CGE) Model for Korea in which the optimal solution is derived in a recursively dynamic path. The model is composed of three main modules: the supply, the demand and the price. In this paper, the investment demand for the road is optimized with subject to national economic growth and price inflation. If the annual inflation level and the economic growth rate during 1996-2005 are set to 4.5%-5.0% and 6.0%-6.5% respectively, the optimal demand for the road investment is estimated as 155.1-180.1 trillion Won or 3.33%-3.89% of the GDP for ten years. It implies that the additional increase of the road investment by 0.61%-1.15% of the GDP is required for sustainable economic development, since the share of the road investment in the GDP of the latest 5 years has stayed around 2.27%. However, it is necessary to reduce construction investments on housing as well as to promote private financing of the road in order to maximize an efficiency of resource allocation.

• 치위생과학회지
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• 제11권6호
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• pp.563-571
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• 2011

본 연구는 울산지역에 위치하는 2개 대학의 학생들 330명을 대상으로 건강증진행위를 하는데 있어 중요한 변수로 인식된 기존의 변수들을 모아 구강건강증진 행위에 대한 경로를 분석한 결과 다음과 같은 결론을 얻었다. 1. 최종모형의 적합도는 ${\chi}^2$ 값은 39.06, 유의확률은 0.152, GFI= .982, AGFI= .948, NFI=.967, NNFI= .982, RMSR= .028로 나타나 자료와 잘 부합되는 것으로 나타났다. 2. 가설모형에서 선정된 39개의 경로중 27개의 경로가 통계적으로 직접효과와 총효과가 유의하였으며, 2개 경로는 간접효과와 총효과가 유의하여 총 27개의 경로가 유의한 것으로 나타났다. 3. 현재의 구강건강증진행위에 영향을 미치는 변수로는 과거구강건강경험(총효과=.805), 주관적 구강건강(총효과=.717), 지각된 장애성(총효과=-.226), 자기효능감(총효과=.179), 사회적지지(총효과=.192), 구강건강통제위(총효과=.120), 의도(총효과=.167)로 나타났다(P<.05). 4. 현재의 구강건강증진행위에 긍정적으로 영향을 미치는 변수로는 과거구강건강경험, 주관적 구강건강, 사회적지지, 자기효능감, 의도, 구강건강통제위의 순으로 긍정적인 영향을 미치는 것으로 나타났고, 지각된 장애성은 부정적인 의미로 영향을 미치는 것 으로 나타났다.

• 간호행정학회지
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• 제6권1호
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• pp.109-122
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• 2000

The present study examined the causal relationships among nurses' perceived autonomy, job satisfaction, work environment (work overload, role conflict, situational support, head nurses' leadership), personal aspects(experiences, need for achievement, professional knowledge and skill) by constructing and testing a theoretical framework. Based on literature review nurses' perceived autonomy and job satisfaction were conceived of as outcomes of the interplay among work environment and personal characteristics. Work environment factors involved work overload, role conflict, situational support, and head nurses' leadership (task oriented leadership, relation oriented leadership). Personal charateristics included experiences, need for achievement, and professional knowledge and skill. Three large general hospital in Chonbuk were selected to participate. The total sample of 516 registered nurses represents a response rate of 92 percent. Data for this study was collected from July to September in 1998 by Questionnaire. Path analyses with LISREL 7.16 program were used to test the fit of the proposed conceptual model to the data and to examine the causal relationship among variables. The result showed that both the proposed model and the modified model fit the data excellently. It needs to be notified, however, that path analisis can not count measurement errors; measurement error can attenuate estimates of coefficient and explanatory power. Nevertheless the model revealed relatively high explanatory power. 42 percent of nurses' perceived autonomy was explained by predicted variables; 32 percent of nurses' job satisfaction was explained by by predicted variables. Tn predicting nurses' perceived autonomy the findings of this study clearly demonstrated the work overload might be the most important variable of all the antecedent variables. Head nurses' relation oriented leadership, situational supports, need for achievement, and role conflict were also found to be important determinants for nurses' perceived autonomy. As for the job satisfaction, role conflict, situational supports, need for the achievement, and head nurses' relation oriented leadership were in turn important predictors. Unexpectedly the result showed perceived autonomy have few influence on job satisfaction. The results were discussed, including directions for the future research and practical implication drawn from the research were suggested.

• 대기
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• 제28권2호
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• pp.211-222
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• 2018

Cloud droplet activation process is well described by $K{\ddot{o}}hler$ theory and several parameterizations based on $K{\ddot{o}}hler$ theory are used in a wide range of models to represent this process. Here, we test the two different method of calculating the solute effect in the $K{\ddot{o}}hler$ equation, i.e., osmotic coefficient method (OSM) and ${\kappa}-K{\ddot{o}}hler$ method (KK). To do that, each method is implemented in the cloud droplet activation parameterization module of WRF-CHEM (Weather Research and Forecasting model coupled with Chemistry) model. It is assumed that aerosols are composed of five major components (i.e., sulfate, organic matter, black carbon, mineral dust, and sea salt). Both methods calculate similar representative hygroscopicity parameter values of 0.2~0.3 over the land, and 0.6~0.7 over the ocean, which are close to estimated values in previous studies. Simulated precipitation, and meteorological variables (i.e., specific heat and temperature) show good agreement with reanalysis. Spatial patterns of precipitation and liquid water path from model results and satellite data show similarity in general, but on regional scale spatial patterns and intensity show some discrepancy. However, meteorological variables, precipitation, and liquid water path do not show significant differences between OSM and KK simulations. So we suggest that the relatively simple KK method can be a good alternative to the OSM method that requires various information of density, molecular weight and dissociation number of each individual species in calculating the solute effect.