• 제목/요약/키워드: Operation variables

검색결과 1,202건 처리시간 0.028초

조종적성 검사/연구 장비 운용 Console의 인간공학적 개선 (Ergonomic Improvement of Operation Console for Pilot Aptitude Research Equipment)

  • 김성호
    • 산업경영시스템학회지
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    • 제41권4호
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    • pp.42-49
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    • 2018
  • Pilot Aptitude Research Equipment (PARE) is a simulator developed to measure or research pilot aptitude and train for student pilots. Design of an ergonomic PARE operation console is required to operate the equipment effectively. This study carried out five steps : (S1) operator questionnaire survey, (S2) anthropometric design formula development, (S3) usability evaluation, (S4) improvement design, and (S5) validation considering both Physical User Interface (PUI) and Graphic User Interface (GUI) of PARE operation console. The operator questionnaire surveyed needs for each PUI and GUI part of the console from two PARE actual operators. In terms of PUI, the anthropometric design formula was developed by using design variables, body dimensions, target population characteristics, and reference posture related to the PARE console. In terms of GUI, the usability evaluation was conducted by three usability testing experts with a 7-point scale (1 : very low, 4 : neutral, 7 : very high) on GUI of the PARE operation console by seven usability criteria. The improved PARE operation console was designed to reflect the optimal values of design variables calculated from design formula, the results from usability testing, and the operator's needs. The improvement effect was observed by 20 people who had experience with the PARE operation console. As a result of the validation, monitor visibility and cockpit visibility for the improved PUI design and visibility and efficiency for the improved GUI design were significantly increased by more than 90% respectively. The improved design of the PARE operation console in this study can contribute to enhance operation performance of the PARE.

Geometry of the Model Purse Seine in Relation to Enclosed Volume during Hauling Operation

  • Kim Yong-Hae
    • Fisheries and Aquatic Sciences
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    • 제3권2호
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    • pp.156-162
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    • 2000
  • Model experiments for a purse seine were carried out in order to measure the geometry of net shape and to estimate an enclosed volume by using 1177 scale model purse seine of 12.62m float line from an offshore mackerel purse seine. A model purse seine was set from a net box of shooting equipments and then pursing and hauling net by hauling equipment. The 3- D geometry shape of the purse seine net during hauling operation was measured by video image processing and tension of purse line by load cell. The 3-D geometry of the model purse seine during hauling operation could be represented with variables such as a ratio of shooting diameter or maximum net depth and a ratio of hauling operation time. Horizontal shapes of float line and lead line were varied from a circle after shooting to an ellipse with pursing and hauling. Projected lateral shape of purse line was observed and formulated as a shape of a water drop. The cross sectional shapes of curved net from two directions were varied such as sine function or polynomial curves. Therefore, enclosed volume of a purse seine in relation to fish school behaviour can be approximated using two main variables from relevant equations.

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도시철도 예비타당성을 위한 운영비용함수 모형의 개발 (Development of the Operation Cost Models for Preliminary Assessment of the Urban Railways)

  • 이재명;원제무;노정현
    • 한국철도학회논문집
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    • 제10권6호
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    • pp.766-771
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    • 2007
  • 본 연구에서는 도시내 보조간선도로의 역할을 하고 있는 도시철도의 운영비용을 추정할 수 있는 함수를 개발하고자 하였다. 이를 위하여 서울 지하철 1호선$\sim$8호선의 운행실적을 바탕으로 운영비용에 영향을 줄 수 있는 23개의 변수들을 추출하여 최종변수간의 인과관계 분석을 위한 회귀분석(Regression)을 활용하였다. 분석결과 총 6개의 최종변수가 선정되었으며 그 중 도시철도 운영비용함수를 설명하는 변수는 전동차보유량, 차량소유_첨두 및 역수인 것으로 나타났다. 연구 결과 도시철도의 투자우선순위나 정책 격정과정에 큰 기여를 할 수 있을 것으로 기대된다.

대학급식소의 생산성 요인분석 (Factors Affecting Productivity for University Food Service Operations)

  • 조순희;홍성야
    • 한국식품조리과학회지
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    • 제14권4호
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    • pp.407-415
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    • 1998
  • The objectives of this study were to analyze the factors that affect the productivity for university food services. In a survey involving four-year university dining centers throughout the country, and correlations among thriteen different variables that affect productivity were determined. Productivity index (PI) was determined by meals per hour, the average score for 38 institutions was found to be 14.2 meals/hour. For serving methods, the fixed ration had a higher PI than the self-serving. When two types of serving trays were considered, the PI of the compartmantalized trays was higher than that of the tray accompanying saparate small dishes. When single (S)-or. multiple(M)-menu was compared with the cafeteria style, a higher PI was obtained by the S-or M-menu. Among the three operation systems, the PI was found to be the highest by direct operation (17.6 meals/hour), followed by contract operation (11.1 meals/hour) and rent operation (7.9 meals/hour). For the factors that affect the productivity of the university food services, the total number sewed (r=0.54, p<0.001) and the use of convenient food items (r=0.28, P<0.05) exhibited positive correlations, while food costs and labor costs showed negative correlations. This suggests that the productivity of university food service increases as the total number served and the use of convenient food item increased, but decreases as the food costs and labor costs per meal increased. A regression analysis showed that three variables - total number sewed, labor cost per meal, number of employees-influenced about 73% components of food service showed a negative correlation with PI and a positive correlation with the labor cost per meal.

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공공데이터 융합역량 수준에 따른 데이터 기반 조직 역량의 연구 (A Study on the Data-Based Organizational Capabilities by Convergence Capabilities Level of Public Data)

  • 정병호;주형근
    • 디지털산업정보학회논문지
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    • 제18권4호
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    • pp.97-110
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    • 2022
  • The purpose of this study is to analyze the level of public data convergence capabilities of administrative organizations and to explore important variables in data-based organizational capabilities. The theoretical background was summarized on public data and use activation, joint use, convergence, administrative organization, and convergence constraints. These contents were explained Public Data Act, the Electronic Government Act, and the Data-Based Administrative Act. The research model was set as the data-based organizational capabilities effect by a data-based administrative capability, public data operation capabilities, and public data operation constraints. It was also set whether there is a capabilities difference data-based on an organizational operation by the level of data convergence capabilities. This study analysis was conducted with hierarchical cluster analysis and multiple regression analysis. As the research result, First, hierarchical cluster analysis was classified into three groups. It was classified into a group that uses only public data and structured data, a group that uses public data on both structured and unstructured data, and a group that uses both public and private data. Second, the critical variables of data-based organizational operation capabilities were found in the data-based administrative planning and administrative technology, the supervisory organizations and technical systems by public data convergence, and the data sharing and market transaction constraints. Finally, the essential independent variables on data-based organizational competencies differ by group. This study contributed. As a theoretical implication, this research is updated on management information systems by explaining the Public Data Act, the Electronic Government Act, and the Data-Based Administrative Act. As a practical implication, the activity reinforcement of public data should be promoting the establishment of data standardization and search convenience and elimination of the lukewarm attitudes and Selfishness behavior for data sharing.

지식베이스를 이용한 로보틱 조립셀의 모델링과 운영관리를 위한 프레임 워크 (A framework for modelling and operation management of robotic assembly cells via knowledge base)

  • 김대원;고명삼;이범희
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1988년도 한국자동제어학술회의논문집(국내학술편); 한국전력공사연수원, 서울; 21-22 Oct. 1988
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    • pp.374-379
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    • 1988
  • We propose a framework for modelling and operation management of robotic assembly cells via knowledge base. In the framework, each component of the cell is considered as a state variable, the relations among the state variables are stored in state transition maps(STMs) and then transformed into the form of knowledge. The assembly job tree(AJT) which includes the precedence relations and the constraints for assembly tasks is also described. Finally, an algorithm is presented to manage the cell operation.

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분할법을 이용한 최적 무효전력 설비계획 (Optimal Reactive Power Planning Using Decomposition Method)

  • 김정부;정동원;김건중;박영문
    • 대한전기학회논문지
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    • 제38권8호
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    • pp.585-592
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    • 1989
  • This paper presents an efficient algorithm for the reactive planning of transmission network under normal operating conditions. The optimal operation of a power system is a prerequisite to obtain the optimal investment planning. The operation problem is decomposed into a P-optimization module and a Q-optimization module, but both modules use the same objective function of generation cost. In the investment problem, a new variable decomposition technique is adopted which can operate the operation and the investment variables. The optimization problem is solved by using the gradient projection method (GPM).

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수술환자의 진통제 사용 및 회복에 관한 연구 (Study on Use of Analgesics and Recovery Operation)

  • 장윤희;이은옥
    • 대한간호학회지
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    • 제2권1호
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    • pp.49-61
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    • 1971
  • The purpose of this study is to observe the administering of analgesics and sedatives to cases of surgery, the influence of the patients'situational variables on the use of these drugs, and the required number of recovery days in relation to the patients'situational variables and general conditions. Fifty patients in the age range of 15 through 65 who had undergone general surgery at Seoul national University Hospital. Woo Sok University Hospital and Koryo Hospital between May and August of 1971 were chosen for this study. They were observed with regard to the frequency of postoperative uses of analgesics and sedatives age, the required period of recovery in comparison with the situational variables of patients such as sex, age, marital status, the type and duration of anesthesia, experience of previous operation, history of other diseases, preoperative period of hospitalizations and the general conditions of patients such as sleep, stomach condition, bowel condition, urination, interest in surroundings, strength and energy, self-assistance and appetite. The study results were reviewed in a statistical method to obtain the following findings: 1. There was a significant decrease in the frequency of analgesic uses according to the number of days passed after operation. 2. The mean postoperative recovery days were 5.31 days and mote than half of the patients have never used analgesics until recovery. 3. There was a significant decrease in the frequency of sedative uses according to the number of days passed after operation. 4. The rank-order correlation between the frequency of analgesic use and that of sedative use following surgery observes in relation to the number of postoperative days was a low and negative one. 5. All of the patients except one hate used sedatives only once a day for the whole recovery period. 6. The longer they stayed in the hospital before surgery, the less have they used analgesics after surgery. 7. There were significant differences in use of analgesics after surgery by age groups; the 25-44 age group used more analgesics than the 15-24 and 45-65 age groups. 8. There were no significant differences in use of analgesics after surgery by all situational variables except the number of days of hospitalization and age. 9. The longer they stayed in the hospital before surgery, the earlier have they recovered from the surgery. 10. There were no significant differences in the number of required recovery days by all situational variables except the length of preoperative hospitalization. 11. There were no significant differences in the number of required postoperative recordedly days by the general conditions of patients.

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머신러닝 기법을 이용한 납축전지 열화 예측 모델 개발 (Building battery deterioration prediction model using real field data)

  • 최근호;김건우
    • 지능정보연구
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    • 제24권2호
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    • pp.243-264
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    • 2018
  • 현재 전세계 배터리 시장은 이차전지 개발에 박차를 가하고 있는 실정이지만, 실제로 소비되는 배터리 중 가격 대비 성능이 좋고 재충전을 통해 다시 재사용이 가능한 납축전지(이차전지)의 소비가 광범위하게 이루어지고 있다. 하지만 납축전지는 복합적 셀(cell)을 묶어 하나의 배터리를 구성하여 활용하는 배터리의 특성상 하나의 셀에서 열화가 발생하면 전체 배터리의 손상을 가져와 열화가 빨리 진행되는 문제가 존재한다. 이를 극복하기 위해 본 연구는 기계학습을 통한 배터리 상태 데이터를 학습하여 배터리 열화를 예측할 수 있는 모델을 개발하고자 한다. 이를 위해 실제 현장에서 배터리 상태를 지속적으로 모니터링 할 수 있는 센서를 골프장 카트에 부착하여 실시간으로 배터리 상태 데이터를 수집하고, 수집한 데이터를 이용하여 기계학습 기법을 적용한 분석을 통해 열화 전조 현상에 대한 예측 모델을 개발하였다. 총 16,883개의 샘플을 분석 데이터로 사용하였으며, 예측 모델을 만들기 위한 알고리즘으로 의사결정나무, 로지스틱, 베이지언, 배깅, 부스팅, RandomForest를 사용하였다. 실험 결과, 의사결정나무를 기본 알고리즘으로 사용한 배깅 모델이 89.3923%이 가장 높은 적중률을 보이는 것으로 나타났다. 본 연구는 날씨와 운전습관 등 배터리 열화에 영향을 줄 수 있는 추가적인 변수들을 고려하지 못했다는 한계점이 있으나, 이는 향후 연구에서 다루고자 한다. 본 연구에서 제안하는 배터리 열화 예측 모델은 배터리 열화의 전조현상을 사전에 예측함으로써 배터리 관리를 효율적으로 수행하고 이에 따른 비용을 획기적으로 줄일 수 있을 것으로 기대한다.

병원 단위비용 결정요인에 관한 연구 (Analyses of the Efficiency in Hospital Management)

  • 노공균;이선
    • 한국병원경영학회지
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    • 제9권1호
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    • pp.66-94
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    • 2004
  • The objective of this study is to examine how to maximize the efficiency of hospital management by minimizing the unit cost of hospital operation. For this purpose, this paper proposes to develop a model of the profit maximization based on the cost minimization dictum using the statistical tools of arriving at the maximum likelihood values. The preliminary survey data are collected from the annual statistics and their analyses published by Korea Health Industry Development Institute and Korean Hospital Association. The maximum likelihood value statistical analyses are conducted from the information on the cost (function) of each of 36 hospitals selected by the random stratified sampling method according to the size and location (urban or rural) of hospitals. We believe that, although the size of sample is relatively small, because of the sampling method used and the high response rate, the power of estimation of the results of the statistical analyses of the sample hospitals is acceptable. The conceptual framework of analyses is adopted from the various models of the determinants of hospital costs used by the previous studies. According to this framework, the study postulates that the unit cost of hospital operation is determined by the size, scope of service, technology (production function) as measured by capacity utilization, labor capital ratio and labor input-mix variables, and by exogeneous variables. The variables to represent the above cost determinants are selected by using the step-wise regression so that only the statistically significant variables may be utilized in analyzing how these variables impact on the hospital unit cost. The results of the analyses show that the models of hospital cost determinants adopted are well chosen. The various models analyzed have the (goodness of fit) overall determination (R2) which all turned out to be significant, regardless of the variables put in to represent the cost determinants. Specifically, the size and scope of service, no matter how it is measured, i. e., number of admissions per bed, number of ambulatory visits per bed, adjusted inpatient days and adjusted outpatients, have overall effects of reducing the hospital unit costs as measured by the cost per admission, per inpatient day, or office visit implying the existence of the economy of scale in the hospital operation. Thirdly, the technology used in operating a hospital has turned out to have its ramifications on the hospital unit cost similar to those postulated in the static theory of the firm. For example, the capacity utilization as represented by the inpatient days per employee tuned out to have statistically significant negative impacts on the unit cost of hospital operation, while payroll expenses per inpatient cost has a positive effect. The input-mix of hospital operation, as represented by the ratio of the number of doctor, nurse or medical staff per general employee, supports the known thesis that the specialized manpower costs more than the general employees. The labor/capital ratio as represented by the employees per 100 beds is shown to have a positive effect on the cost as expected. As for the exogeneous variable's impacts on the cost, when this variable is represented by the percent of urban 100 population at the location where the hospital is located, the regression analysis shows that the hospitals located in the urban area have a higher cost than those in the rural area. Finally, the case study of the sample hospitals offers a specific information to hospital administrators about how they share in terms of the cost they are incurring in comparison to other hospitals. For example, if his/her hospital is of small size and located in a city, he/she can compare the various costs of his/her hospital operation with those of other similar hospitals. Therefore, he/she may be able to find the reasons why the cost of his/her hospital operation has a higher or lower cost than other similar hospitals in what factors of the hospital cost determinants.

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