• Title/Summary/Keyword: sampling time

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Work Measurement through Application of Work Sampling in Hospital Dietary Departments Classified by the Productivity Level (급식생산성 유형별 병원 영양과의 워크샘플링 (Work Sampling)을 적용한 작업분석)

  • 양일선
    • Journal of Nutrition and Health
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    • v.26 no.4
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    • pp.443-454
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    • 1993
  • The purposes of this study were to analyze the work patterns of selected hospital foodservices by Work Sampling methodology, and to investigate the relationship among operational factors affecting productivity. The hospitals were classified into 3 groups by the percentage of patient meals, and the percentage of special patient diet, and the menu items of patients meals. The groups clustered were characterized by productivity. Work Sampling methodology was utilized to analyze the work patterns of hospitals with selected 3 hospitals to investigate the productivity the productivity and labor times used in each work functions. Productivity index analyzed by Work Sampling were 10.36 min/meal, 10.95 min/meal, and 12.19 min/meal, respectively X, Y, Z hospital. Z hospital was significantly different from time used in direct work function and delay. Direct work function time was the highest, delay the lowest in Z hospital. The relation between the results of Work Sampling and the productivities of 3 groups showed not by delay but direct work function in the classification used in this study.

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Construction of variable sampling rate model and its evaluation

  • Imoto, Fumio;Nakamura, Masatoshi
    • 제어로봇시스템학회:학술대회논문집
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    • 1994.10a
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    • pp.106-111
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    • 1994
  • We proposed a new variable sampling rate model which expresses the phenomena with both rapid and slow components. A method for determining the variable sampling rate and the older of the time series model was explained. The proposed variable sampling rate model was evaluated based oil an information criterion(AIC). Tile variable sampling rate model brought smaller an information criterion than one of a constant sampling rate model of conventional type, and was proved to be effective as a prediction model of the system with both rapid and slow components.

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A Study on Determining Job Sequence by Sampling Method (II) (샘플링 기법에 의한 작업순서의 결정 (II))

  • 강성수;노인규
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.12 no.19
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    • pp.25-30
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    • 1989
  • This study is concerned with a job sequencing method using the concept of sampling technique. This sampling technique has never been applied to develop the scheduling algorithms. The most job sequencing algorithms have been developed to determine the best or good solution under the special conditions. Thus, it is not only very difficult, but also taken too much time to develop the appropriate job schedules that satisfy the complex work conditions. The application areas of these algorithms are also very narrow. Under these circumstances it is very desirable to develop a simple job sequencing method which can produce the good solution with the short tine period under any complex work conditions. It is called a sampling job sequencing method in this study. This study is to examine the selection of the good job sequence of 1%-5% upper group by the sampling method. The result shows that there is the set of 0.5%-5% job sequence group which has to same amount of performance measure with the optimal job sequence in the case of experiment of 2/n/F/F max. This indicates that the sampling job sequencing method is a useful job sequencing method to find the optimal or good job sequence with a little effort and time consuming. The results of ANOVA show that the two factors, number of jobs and the range of processing time are the significant factors for determining the job sequence at $\alpha$=0.01. This study is extended to 3 machines to machines job shop problems further.

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Work Measurement of Dietetic Staff through Work Sampling Methodology in School Foodservice Systems (워크샘플링에 의한 학교급식 전담직원의 직무분석)

  • 양일선;이영은;차진아;유태용;정라나
    • Journal of Nutrition and Health
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    • v.35 no.2
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    • pp.263-271
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    • 2002
  • The purpose of this study was to determine the standard work time of dietetic staff through work sampling methodology in school flood service systems. Work measurement through work sampling methodology was conducted in five conventional, five commissary and five joint management flood service systems over two consecutive weeks in October 1999. Statistical analysis was performed on the SAS/Win 6.12 package program for Kruskal-Wallis test and multiple comparison. Observed data were satisfied with a confidence level of 95% and a confidence interval of $\pm$ 0.05. The results of this study can be summarized as follows. The actual time spent by dietetic staff members in conventional, commissary, joint-management flood servile systems was 2,394, 2,521 and 2,110 minutes per week, respectively. Transportation time of each flood service systeml and ILO allowance rate (11%) was applied. Thus, the standard work time per week of dietetic staff members in conventional, commissary, joint-management flood service systems was 2,746.14, 2,861.58 and 2,520.81 minutes, respectively. The standardized index was 1.04, 1.08 and 0.95 men in conventional, commissary, and joint-management flood service systems, respectively. Regardless of the school flood service system, those with "the duty of cooking and distribution management" had the longest labor time, while those with "duty of nutritional education" had the shortest labor time.

Compensation of Timing Offset and Frequency Offset in the Multi-Band Receiver with Sub-Sampling Method (Sub-Sampling 방식의 다중 대역 수신기에서 타이밍 오프셋과 주파수 오프셋 보상)

  • Lee, Hui-Kyu;Ryu, Heung-Gyoon
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.22 no.5
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    • pp.501-509
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    • 2011
  • Software defined radio(SDR) has a goal that places the analog-to-digital converter(ADC) as near the antenna as possible. But current technique actually can't do analog-to-digital converting about RF band signals. So one method is studying that samples RF band signals to IF band. One of the ways Sub-Sampling technique can convert signals from RF band to IF band without oscillator. If Sub-Sampling technique is used, over 2 bands can convert signals from RF band to IF band. But due to the filter performance in RF band, it is possible to generate interference between signals that is converted in low frequency band. The effect degrades performance. In this paper, we propose one method that uses time division multiplexing(TDM) method as a solution to avoid interference between signals. By doing TDM and Sub-Sampling at the same time that method can get signals without large changes of structures.

EFFECT OF FEEDING PATTERN ON DIURNAL VARIATION IN FAECAL CHROMIC LEVEL WHEN USING CONTROLLED RELEASE DEVICES IN SHEEP

  • Lee, G.J.;Mortimer, S.I.
    • Asian-Australasian Journal of Animal Sciences
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    • v.4 no.1
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    • pp.79-83
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    • 1991
  • Diurnal variation in faecal chromic oxide levels was estimated from 4 hourly faecal sampling of 56 wethers allotted to one of six different feeding patterns. Sampling occurred on days 6 and 7 (Period 1) after a controlled release device was administered, and was repeated on days 14 and 15 (Period 2) following re-randomisation of the wethers to the feeding patterns. Increasing the frequency of feeding tended to be associated with higher faecal chromic oxide levels (p < 0.05), particularly in wethers fed thrice daily at 8 hour intervals. There was no interaction between feeding pattern and period, sampling day or time within-day. There were significant period x time within-day (p < 0.05) and day x time within-day (p < 0.001) interactions, indicating that variation in faecal chromic oxide between sample times was not consistent. This implies that sampling at any time of day is unlikely to result in a biased estimate of pasture intake, providing sufficient samples are collected. Significant period (p < 0.001) and period x day (p < 0.01) effects were associated with slow faecal chromic oxide equilibration in period 1. Equilibration did not occur until after day 7, indicating a need for caution when commencing sampling.

Factors Affecting Hemolysis in Blood Sampling and Repeated Sampling in the Emergency Department (응급실에서의 채혈로 인한 용혈 및 재채혈 관련요인)

  • Cho, Myung Sook;Hwang, Moon Sook
    • Journal of Korean Clinical Nursing Research
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    • v.17 no.3
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    • pp.399-410
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    • 2011
  • Purpose: This study was conducted to investigate the incidence of blood hemolysis and repeated blood sampling and to identify factors contributing to hemolysis and repeated blood sampling in the emergency department. Methods: A cross-sectional descriptive design was used. Participants were the patients who came to emergency department and are required a blood sampling for electrolyte level. All blood samples were collected by emergency department nurses and determined for hemolysis by experienced laboratory technologists. Data were analyzed using $x^2$-test, Fisher's exact test, Mann-Whitney u test and Binary Logistic Regression to determine significant differences. Results: A total of 402 valid samples were collected. Of these, 30 blood samples (7.5%) were found to be hemolyzed and 9 (2.2%) to be recollected. Statistically significant factors affecting on hemolysis and repeated blood sampling included the time of bloods sampling (night), the time of tourniquet application, and too-fast blood draw into the test tube. Conclusion: We recommend that nurses who take the blood sampling to consider the findings of the study and take the related factors into account as they set up the standardized care protocol in order for nursing quality improvement.

The Design and Implementation of Frequency Domain Sampling Surface Acoustic Wave Sensor Platform (Frequency Domain Sampling 방식의 Surface Acoustic Wave Sensor Platform 설계 및 구현)

  • Joh, Yool-Hee;Kim, Young-Kil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.05a
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    • pp.220-223
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    • 2012
  • Generally, SAW device, which uses Time Domain Sampling, requires high speed AD converter because SAW device (TDS) needs high sampling speed as much as its high data speed. However, the high price of AD converter discourages makers from using it. On the other hand, SAW device, which uses Frequency Domain Sampling, does not required high speed AD converter because SAW device (FDS) does not need high sampling speed. It is very efficient in price comparison to its performance because high processing speed of SAW device (FDS) can be implemented using low price Embedded Systems. The purpose of the thesis is to solve the issues above by designing and realizing SAW device (FDS) using SAW sensor for TDS.

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The Design and Implementation of Frequency Domain Sampling Surface Acoustic Wave Sensor Platform using Cortex-A8 (Cortex-A8을 이용한 Frequency Domain Sampling 방식의 Surface Acoustic Wave Sensor Platform 설계 및 구현)

  • Joh, Yool-hee;Kim, Young-kil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.10a
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    • pp.312-315
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    • 2012
  • Generally, SAW device, which uses Time Domain Sampling, requires high speed AD converter because SAW device (TDS) needs high sampling speed as much as its high data speed. However, the high price of AD converter discourages makers from using it. On the other hand, SAW device, which uses Frequency Domain Sampling, does not required high speed AD converter because SAW device (FDS) does not need high sampling speed. It is very efficient in price comparison to its performance because high processing speed of SAW device (FDS) can be implemented using low price Embedded Systems. The purpose of the thesis is to solve the issues above by designing and realizing SAW device (FDS) using SAW sensor for TDS.

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An Algorithm of Determining Data Sampling Times in the Network-Based Real-Time Distributed Control Systems (네트워크를 이용한 실시간 분산제어시스템에서 데이터 샘플링 주기 결정 알고리듬)

  • Seung Ho Hong
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.30B no.1
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    • pp.18-28
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    • 1993
  • Processes in the real-time distributed control systems share a network medium to exchange their data. Performance of feedback control loops in the real-time distributed control systems is subject to the network-induced delays from sensor to controller, and from controller to actuator. The network-induced delays are directly dependent upon the data sampling times of control components which share a network medium. In this study, an algorithm of determining data sampling times is developed using the "window concept". where the sampling datafrom the control components dynamically share a limited number of windows. The scheduling algorithm is validated through the aimulation experiments.

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