• 품질경영학회지
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• 제41권4호
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• pp.513-525
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• 2013

Purpose: The purpose of this paper are to propose a strategic map for hotel industry through analyzing the relationship between service resource, operational capabilities, and performance. Methods: A phone survey was conducted among Korean hotels, and 102 data sets were collected. Measurement items are assessed using both cognitive and objective scales. Results: As results, 'superior group', which is superior in both physical resources and human resources, is excellent in all capabilities and also in room occupancy rate. On the other hands, 'inferior group', which is inferior in both physical resources and human resources, shows lower achievements is in most areas except speed. In addition, physical superior group is better than human superior group in most capabilities except speed, but human superior group shows better results than physical superior group in both room occupancy rate and customer satisfaction. Conclusions: Through the empirical analysis, the conclusions attained are as follows; First, human resources affect customer satisfaction more directly that physical resources. Second, the balancing between physical resources and human resources has an importance to improve operational capabilities.

• 한국병원경영학회지
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• 제12권1호
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• pp.51-74
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• 2007

This study applied Data Envelopment Analysis to a set of Korean Public Corporation Medical Centers and Japanese Municipal Hospitals to compare their relative human resource efficiencies. Based on the data provided on the inputs and outputs, the analysis showed Japanese municipal hospitals were relatively efficient than Korean hospitals. The result of analysing BCC model shows 5 hospitals in Japan and 7 in Korea with an efficiency rating of less than 1 as considered relatively inefficient. For the inefficient hospitals the manner in which inefficient hospitals may be made efficient were indicated by the managerial strategies based on dual variables. A subsequent analysis of Wilcoxon rank-sum test revealed that the medical revenue per medical expense, labor cost per value added revenue were statistically significant between efficient and inefficient Korean hospitals and medical revenue per medical expense, labor cost per value added revenue, bed occupancy rate, average length of stay, rate of personnel expenses per medical revenue were statistically significant between efficient and inefficient Japanese hospitals.

• 보건행정학회지
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• 제10권4호
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• pp.75-98
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• 2000

This study applied Data Envelopment Analysis(DEA) and Ratio Analysis and Regression Analysis to a set of Korean Public Corporation Medical Centers to evaluate their relative human resource efficiencies. The output measure used in this study was based on health insurance system which was used in both in-patient departments and out-patient departments. Inputs included working time of the doctors, nurses, technicians, and managerial department staff. Based on the data provided on the inputs and outputs, the analysis showed 23 of the 34 hospitals to be relatively inefficient. Each hospital with an efficiency rating of less than 1 was considered relatively inefficient. In addition, managerial strategies based on dual variables were constructed to indicate the manner In which inefficient hospitals may be made efficient. A subsequent analysis of t-test revealed that the bed occupancy rate, medical revenue per 100beds, value added revenue per staff, medical revenue per staff were statistically significant. The results of this study suggest the DEA is a promising tool for evaluating relative human resource efficiency in hospitals which have multiple inputs and outputs and where the efficient production function is not specifiable with any precision. But it is considered that efficiency evaluations may be most effective]y accomplished by Incorporating a combination of methodologies such as ratio analysis and regression analysis.

• 전자공학회논문지CI
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• 제47권4호
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• pp.63-70
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• 2010

IEEE 802.11e에서는 CSMA/CA 전송방식으로 차별화된 서비스를 제공한다. 하지만 노드 수가 증가함에 따른 충돌확률 증가, 차등 전송모드에 따라 나타나는 전송속도 하향평준화, TCP의 흐름제어 특성으로 인해 UDP와 링크를 공유하게 될 경우 UDP가 링크를 모두 잠식하는 결과로 TCP 전송률이 저하되는 문제가 발생한다. 따라서 본 논문에서는 IEEE 802.11e에서 현재 접속된 노드의 수에 따라 초기 경쟁 윈도우의 최소값과 최대값을 다르게 설정하여 충돌을 회피하였고, 채널 상태에 따라 TXOP를 조정하여 우선순위는 낮지만 채널 상태가 좋은 AC에게도 점차적으로 할당함으로써 채널을 최대한으로 활용하도록 하였고, TCP 전송의 흐름제어에 사용되는 ACK 신호에 우선순위를 높여 전송함으로써 흐름제어를 좋게 하여 UDP 플로우로 잠식되는 현상을 줄여 공정한 전송이 되도록 개선하여 자원의 능동적인 할당으로 전송률 향상에 기여하는 알고리듬을 제안하였다.

• 전기전자학회논문지
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• 제23권1호
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• pp.112-119
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• 2019

본 논문에서는 불꽃 감지를 위한 임베디드 시스템에 적합한 딥러닝 구조를 제안한다. 제안하는 딥러닝 구조의 불꽃 감지 과정은 불꽃 색깔 모델을 사용한 불꽃 영역 검출, 불꽃 색깔 특화 딥러닝 구조를 사용한 불꽃 영상 분류, 검출된 불꽃 영역의 $N{\times}N$ 셀 분리, 불꽃 모양 특화 딥러닝 구조를 사용한 불꽃 영상 분류 등의 4가지 과정으로 구성된다. 첫 번째로 입력 영상에서 불꽃의 색만을 추출한 다음 레이블링하여 불꽃 영역을 검출한다. 두 번째로 검출된 불꽃 영역을 불꽃 색깔에 특화 학습된 딥러닝 구조의 입력으로 넣고, 출력단의 불꽃 클래스 확률이 75% 이상에서만 불꽃 영상으로 분류한다. 세 번째로 앞 단에서 75% 미만 불꽃 영상으로 분류된 영상들의 검출된 불꽃 영역을 $N{\times}N$ 단위로 분할한다. 네 번째로 $N{\times}N$ 단위로 분할된 작은 셀들을 불꽃의 모양에 특화 학습된 딥러닝 구조의 입력으로 넣고, 각 셀의 불꽃 여부를 판단하여 50% 이상의 셀들이 불꽃 영상으로 분류될 경우에 불꽃 영상으로 분류한다. 제안된 딥러닝 구조의 성능을 평가하기 위하여 ImageNet의 불꽃 데이터베이스를 사용하여 실험하였다. 실험 결과, 제안하는 딥러닝 구조는 기존의 딥러닝 구조보다 평균 29.86% 낮은 리소스 점유율과 8초 빠른 불꽃 감지 시간을 나타내었다. 불꽃 검출률은 기존의 딥러닝 구조와 비교하여 평균 0.95% 낮은 결과를 나타내었으나, 이는 임베디드 시스템에 적용하기 위해 딥러닝 구조를 가볍게 구성한데서 나온 결과이다. 따라서 본 논문에서 제안하는 불꽃 감지를 위한 딥러닝 구조는 임베디드 시스템 적용에 적합함이 입증되었다.

• Journal of Hospice and Palliative Care
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• 제13권3호
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• pp.143-152
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• 2010

목적: 본 연구는 호스피스 완화의료 기관 조사와 통계청 자료를 이용하여 호스피스 완화의료 기관 현황과 장애요인, 그에 따른 활성화 방안을 조사하고 분석하여 향후 정책수립을 위한 기초자료를 제공하고자 실시되었다. 방법: 현황조사를 위해 국내 호스피스 완화의료 관련 단체 및 기관을 통해 호스피스 완화의료 제공 기관을 선정 하여 2009년 2월에서 3월까지 설문을 시행하였으며 설문내용은 기관의 일반현황, 대상자, 서비스 제공인력, 시설, 재정, 활성화 방안으로 구성되었다. 또한 필요병상수 및 병상충족률 산출을 위해 통계청의 지역별 인구수 자료를 이용하였다. 결과: 전체 53개 호스피스 완화의료 기관 가운데 42개 기관이 종합병원 이상으로 총 설문대상 기관 중 의원급 기관은 6개였다. 전체 53개 기관 중 18.8%의 기관이 수도권 지역에 분포하고 있었다. 전반적인 호스피스 완화의료 병상충족률은 21.9%로 낮은 것으로 나타났으며 4개 광역시도의 경우 호스피스 완화의료 전용병상이 없는 것으로 보고되었다. 2008년 호스피스 완화의료기관의 사망자는 전체 암사망자의 6.3%에 불과했다. 기관의 재정 관련한 설문에서 86%의 시설이 재정이 부족하다고 답변하였으며 그 외 인력수급 장애요인 및 시설기준 미충족의 원인으로도 재정 부족을 원인으로 꼽은 기관이 과반수를 넘는 것으로 나타났다. 호스피스 완화의료 활성화를 위한 정부의 지원으로 가장 필요한 부분으로 재정지원이었으며(71.2%), 기부문화 활성화 방안으로 기부금 전액 세금 공제(43.1%), 공익재단 설립(23.5%) 등으로 나타났다. 결론: 본 연구는 이처럼 기관의 현황 자료조사 및 설문조사를 통해 국내의 호스피스 완화의료 이용률 및 병상충족률이 낮은 문제점, 지역별 병상충족률 편차가 큰 문제점 등을 파악하였으며 호스피스 완화의료의 장애요인으로 재정부족, 인력수급 장애, 인식부족 등을 파악하였다. 또한 이를 위해 호스피스 완화의료 기관의 재정마련 방안이 필수적이며 인식 부족에 대한 개선 노력도 동시에 이루어질 필요가 있을 것으로 결론지었다. 이 중 재정 부족에 대한 방안으로는 정부의 재정 지원과 기부금 전액 세금공제와 공익재단 설립이 검토해 볼 만한 대안으로 제시할 수 있겠다.

• 보건행정학회지
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• 제6권1호
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• pp.191-210
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• 1996

This study purported to acquire information necessary to improve the operational efficiency of general hospitals. It tried to determine major indices which represent managerial performance of general hospitals and to identify the managerial characteristics of general hospital which affect the major financial indices. 201 hospitals which were subject to standardization audit by the Korean Hospital Association were investigated and 80 hospitals were finally chosen for this study. Their financial and managerial data during the period between January 1991 and December 1991 were collected. Considering financial indices in this study were the ration of net income to total asset, income growth rate, and quick ration. The results of study are summarized as followings. First. The ration of net income to total assets and quick ration were highly related to managerial characteristics of general hospitals. Therefore, the standardization of three financial indices should be needed to systematically check the operational efficiency of general hospitals. Second, the sample hospitals can be classified as four groups on the basis of their financial indices' level. 4 of those hospitals(5.0%) showed high level of performance in terms of three financial indices and 27 of them(33.7%) showed that they are highly related to only two financial indices. 34 hospitals(42.5%) showed they have high level of relationship with only one indices and 15 hospitals(18.8%) showed very weak performance level with three indices. In addition, there is no hospitals to show mid-range level of managerial performance in relation to all three financial indices. Third, there is no significant relationship between three financial indices and the managerial characteristics of hospitals such as the number of beds, type of operation, location of hospitals, and etc. However, in the case of hospitals which have high level of managerial performance, they have more specialists and medical support personnel in comparison to low performance hospitals. They also have high level of bed occupancy rate and average length of stay(ALOS). In conclusion, the study showed the standardization of 3 financial indices are necessary to systematically evaluate the managerial performance of general hospitals and provide more accurate operational information for each hospital. To do so, it is necessary to focus on management side of hospital such as the effective human resource management and quality enhancement of medical treatment.

• 인터넷정보학회논문지
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• 제25권1호
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• pp.1-8
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• 2024

API 게이트웨이에서 API 조합은 클라이언트의 호출 횟수를 줄이고 오버페칭과 언더페칭을 방지할 수 있는 필수적인 기능이다. IMJ(In-Memory Join)로 동작하는 API 조합은 많은 자원을 소모하여 API 게이트웨이의 성능에 부담을 준다. 본 연구에서는 IMJ 방식의 API 조합의 문제를 개선하기 위해 조합할 데이터를 스트리밍으로 클라이언트에 전달하는 SAPIC(Stream-based API Composition)를 제안한다. SAPIC는 클라이언트 응답 메시지를 구성하는 각각의 MSA API를 호출하여 받은 응답 메시지를 즉시 클라이언트로 스트리밍하여 IMJ에 비해 API 게이트웨이의 자원 소모를 줄이고 빠른 응답시간을 제공할 수 있다. 대표적인 API 조합 기술인 GraphQL 비교실험결과 SAPIC는 GraphQL에 비해 약 21 ~ 70 % 낮은 최대 CPU 점유율과 약 16 ~ 74 % 낮은 최대 Heap 사용량 그리고 1 ~ 2.3 배의 높은 처리량을 기록하였다.

• Journal of Preventive Medicine and Public Health
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• 제11권1호
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• pp.123-127
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• 1978

The major objective of this research is to identify those hospital characteristics that best explain cost variation among hospitals and to formulate linear models that can predict hospital costs. Specific emphasis is placed on hospital output, that is, the identification of diagnosis related patient groups (DRGs) which are medically meaningful and demonstrate similar patterns of hospital resource consumption. A casemix index is developed based on the DRGs identified. Considering the common problems encountered in previous hospital cost research, the following study requirements are estab-lished for fulfilling the objectives of this research: 1. Selection of hospitals that exercise similar medical and fiscal practices. 2. Identification of an appropriate data collection mechanism in which demographic and medical characteristics of individual patients as well as accurate and comparable cost information can be derived. 3. Development of a patient classification system in which all the patients treated in hospitals are able to be split into mutually exclusive categories with consistent and stable patterns of resource consumption. 4. Development of a cost finding mechanism through which patient groups' costs can be made comparable across hospitals. A data set of Medicare patients prepared by the Social Security Administration was selected for the study analysis. The data set contained 27,229 record abstracts of Medicare patients discharged from all but one short-term general hospital in Connecticut during the period from January 1, 1971, to December 31, 1972. Each record abstract contained demographic and diagnostic information, as well as charges for specific medical services received. The 'AUT-OGRP System' was used to generate 198 DRGs in which the entire range of Medicare patients were split into mutually exclusive categories, each of which shows a consistent and stable pattern of resource consumption. The 'Departmental Method' was used to generate cost information for the groups of Medicare patients that would be comparable across hospitals. To fulfill the study objectives, an extensive analysis was conducted in the following areas: 1. Analysis of DRGs: in which the level of resource use of each DRG was determined, the length of stay or death rate of each DRG in relation to resource use was characterized, and underlying patterns of the relationships among DRG costs were explained. 2. Exploration of resource use profiles of hospitals; in which the magnitude of differences in the resource uses or death rates incurred in the treatment of Medicare patients among the study hospitals was explored. 3. Casemix analysis; in which four types of casemix-related indices were generated, and the significance of these indices in the explanation of hospital costs was examined. 4. Formulation of linear models to predict hospital costs of Medicare patients; in which nine independent variables (i. e., casemix index, hospital size, complexity of service, teaching activity, location, casemix-adjusted death. rate index, occupancy rate, and casemix-adjusted length of stay index) were used for determining factors in hospital costs. Results from the study analysis indicated that: 1. The system of 198 DRGs for Medicare patient classification was demonstrated not only as a strong tool for determining the pattern of hospital resource utilization of Medicare patients, but also for categorizing patients by their severity of illness. 2. The wei틴fed mean total case cost (TOTC) of the study hospitals for Medicare patients during the study years was $11,27.02 with a standard deviation of $117.20. The hospital with the highest average TOTC ($1538.15) was 2.08 times more expensive than the hospital with the lowest average TOTC ($743.45). The weighted mean per diem total cost (DTOC) of the study hospitals for Medicare patients during the sutdy years was $107.98 with a standard deviation of $15.18. The hospital with the highest average DTOC ($147.23) was 1.87 times more expensive than the hospital with the lowest average DTOC ($78.49). 3. The linear models for each of the six types of hospital costs were formulated using the casemix index and the eight other hospital variables as the determinants. These models explained variance to the extent of 68.7 percent of total case cost (TOTC), 63.5 percent of room and board cost (RMC), 66.2 percent of total ancillary service cost (TANC), 66.3 percent of per diem total cost (DTOC), 56.9 percent of per diem room and board cost (DRMC), and 65.5 percent of per diem ancillary service cost (DTANC). The casemix index alone explained approximately one half of interhospital cost variation: 59.1 percent for TOTC and 44.3 percent for DTOC. Thsee results demonstrate that the casemix index is the most importand determinant of interhospital cost variation Future research and policy implications in regard to the results of this study is envisioned in the following three areas: 1. Utilization of casemix related indices in the Medicare data systems. 2. Refinement of data for hospital cost evaluation. 3. Development of a system for reimbursement and cost control in hospitals.

• 한국병원경영학회지
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• 제11권1호
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• pp.54-90
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• 2006

Medical clinics are core institutes that cover the primary medical care in Korea. Financial viability of the clinics is essential for them to conduct their roles and functions, and can be improved by increasing their operating profitability. On this ground, this study aimed at finding important factors that affect the operating profitability, and thereby at suggesting strategic alternatives that can contribute to the improvement of the profitability. Operating margin was set as a dependent variable, and such factors as general management conditions, number of visits, medical revenue, marketing activities, input resources, medical cost as independent variables. Nineteen hypotheses related to the variables were established and tested using data collected from 138 sample clinics for the year 2003. The results of the study are as follows : Firstly, such variables as percent ratio of the depreciation plus rent costs to total administration costs, type of clinical department manifested whether medical, surgical, or quasi-surgical, percent ratio of the interior facility investment to total fixed assets, and total number of outpatient visit are important factors that affect, positively or negatively, the medical profitability of the clinics. Secondly, following measures are needed to be established and implemented to improve the medical profitability. (1) Administration costs share 53.2% of the total medical costs, and depreciation plus rent costs 16.3% of the total administration costs. This implies that such measures as reinforcement of marketing activities, establishment of the cooperative utilizing system of the facility and equipment, or group practice are needed to increase cost-effectiveness. (2) Occupancy rate of the clinics with inpatient bed is as low as 45.5%, causing high fixed costs and low medical profitability. For its improvement, the resource input structure should be reorganized. Thirdly, in the future, a study that can increase sample representativeness of the study and explanation power of the variables should be performed for each type of clinical department to find more specific determinant factors and to contribute to the improvement of the medical profitability of the clinics.