• 제목/요약/키워드: Accuracy management

검색결과 2,704건 처리시간 0.028초

선교내에서 청각경보음의 유형이 반응속도와 정확성에 미치는 영향 (Effects of Auditory Warning Types on Response Time and Accuracy in Ship Bridges)

  • 하욱현;박성하;김홍태
    • 대한인간공학회지
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    • 제29권4호
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    • pp.673-680
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    • 2010
  • The effects of different auditory warnings on response time and accuracy were studied in a laboratory ship-bridge work environment. Subjective preference on the type of auditory warnings was also of a primary concern. Twenty five subjects were asked to select an appropriate button for the warning sound presented with three types of auditory warning (abstract sound, auditory icon, and voice alarm) and five levels of warning situation (fire, steering failure, collision, engine failure, and low power). Results showed that the response time and accuracy was significantly affected by the types of auditory warning. The voice alarm resulted in a higher accuracy and subjective preference, as compared to the auditory icon and abstract sound. Regarding the response time, auditory icons and voice alarms were equivalent and superior to abstract sounds. Actual or potential applications of this research include guidelines for the design of integrated ship bridge systems.

근골격계질환 유해요인 정밀조사를 위한 OWAS, RULA, REBA의 평가 정확도 및 신뢰도 분석 (Analysis of Accuracy and Reliability for OWAS, RULA, and REBA to Assess Risk Factors of Work-related Musculoskeletal Disorders)

  • 천우현;정기효
    • 대한안전경영과학회지
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    • 제22권2호
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    • pp.31-38
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    • 2020
  • The study evaluated the accuracy and intra-rater reliability for OWAS (Ovako Working posture Analysing System), RULA (Rapid Upper Limb Assessment), REBA (Rapid Entire Body Assessment) to improve their evaluation accuracy and reliability. Participants (n = 163) with undergraduate degree were recruited in this study and trained for 6 hours about the ergonomic assessment methods. Ergonomic assessments were conducted using OWAS, RULA, and REBA for a representative work with dynamic posture found in manufacturing industries. The study compared action categories (overall level) and detailed evaluation scores for individual body part. Action categories of the participants significantly differed from the golden reference defined by ergonomic experts. The participants underrated or omitted scores for truck (37.4% of the participants) and legs (52.8%) in OWAS. Similarly, the participants underrated or omitted additional scores for all body parts except the hand and wrist in RULA (53.5%) and REBA (54.8%). On the other hand, the participants overrated scores for the hand and wrist in RULA (55.2%) and REBA (39.9%). The results found in this study can help of selecting focus points and parts during assessment and education to improve accuracy and reliability of the ergonomic assessment methods.

전산화단층촬영장비 정도관리의 적정 인지도에 관한 연구 (A Study on the Adequacy Awareness of Computed Tomography Equipment Quality Control)

  • 김규형;임청환;김기정
    • 대한방사선기술학회지:방사선기술과학
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    • 제42권1호
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    • pp.31-37
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    • 2019
  • Investigate the adequacy awareness of accuracy control of CT apparatus Questionnaire survey and statistical analysis in the analysis according to age, there is a difference between familiarity with accuracy management items (F = 14.187, p<0.001) and necessity of accuracy control (F=8.109, p<0.001), depending on academic background and work history, There is a difference only in familiarity (F=5.103, p<0.05, F=13.394, p<0.001), and according to the scale of the medical institution analysis shows that if you are more interested than senior general hospital grade hospital grade or less It was analyzed. In order to advance the accuracy control level, we have introduced our comprehensive and efficient comprehensive and efficient integrated medical image quality management operation system of the whole medical image equipment including CT device, It is thought that it is necessary to develop human resources capable of doing.

드론사진측량의 다양한 정확도 분석을 통한 활용성 평가 (Evaluation of Utilization through Various Accuracy Analysis of Drone Photogrammetry)

  • 김두표;최혜원;곽재하
    • 한국산업융합학회 논문집
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    • 제26권1호
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    • pp.121-131
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    • 2023
  • Although the utilization of drone photogrammetry that can generate spatial information using ultra-high-resolution images is increasing in the civil engineering and construction fields, analysis of areas that can be used is insufficient. Therefore, this study attempted to determine how far drone photogrammetry can be used in the civil engineering and construction fields by applying a detailed analysis method. The status map and cross-sectional map were actually vectorized using drone photogrammetry outcomes, compared and analyzed with the results acquired in the field, and the qualitative aspects of traffic safety facilities were analyzed to determine their usability. As a result, the accuracy of the plane position using drone photogrammetry was reliable, but the height accuracy was difficult to trust. Accordingly, although there is a possibility of preparing a status map, the use of it in areas requiring high accuracy such as cross-sectional plans was limited, and it is believed that it can be used in the construction management field where qualitative analysis is conducted.

RSSI 측정값의 회귀분석을 이용한 무선센서노드의 위치관리 (Wireless Sensor Node Location Management By Regression Analysis of RSSI)

  • 최준영;김현중;양현호
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2008년도 추계종합학술대회 B
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    • pp.308-311
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    • 2008
  • WSN(Wireless Sensor Network)의 기술 요소 중의 하나는 센서노드의 위치에 관한 정보를 추적하고 관리하는 것으로 GPS, 초음파, RSSI 등을 이용하는 방법이 대표적이다. 본고에서는 RSSI에 기반의 무선 센서 노드 위치 측정 방법의 정확도를 향상시키기 위하여 사하기 위하여 무선센서노드의 위치를 판정하기 위하여 전파수신강도(RSSI)의 측정값의 정확도를 향상하기 위하여 을 회귀분석을 이용하는 방법에 대해 고찰하였다. 또한 Friis 공식을 이용 송신기와 수신기 사이에서의 전파의 경로 손실과 한 위치 측정하는 기존의 방식과 RSSI 값에 기반하여 회귀분석을 이용한 위치 측정 방식을 비교 분석한 결과 회귀분석을 이용한 방식이 RSSI를 이용하여 거리를 측정하는 측면에서 좀 더 향상된 정확도를 나타내었다.

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지하시설물도 현황 및 정확도 분석 (Status and Accuracy Analysis of Underground Facility Maps)

  • 배경호;허민;이용욱;정의환
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2007년도 춘계학술발표회 논문집
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    • pp.231-235
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    • 2007
  • As the centralization of city, underground facilities is increasing and being more important. And there were many underground facilities accidents in korea. It is very important to update and to have high quality accuracy of underground facilities maps. But the underground facilities maps are mapped and updated by each institutes. So it is difficult to verify the accuracy of the data. In this study, To analyze the accuracy of maps, Surveying of undergroud facilities for 18 GUs in Seoul is performed during 3 years using Electromegnetic Induction Method, Total Station and GPS. In conclusion, Horizontal accuracy of 6 underground facilities management institutes is 73cm(2004), 78cm(2005) and 75cm(2006).

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리니어 모터의 직각도 측정과 대각선 오차 보정에 관한 연구 (A study on the diagonal error compensation and squareness measurement of linear motor)

  • 김준현;이창우;송준엽
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2006년도 춘계학술대회 논문집
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    • pp.287-288
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    • 2006
  • This paper introduces an approach of method to compensate accuracy error of diagonal direction. The measurement of squareness error is an important parameter in performance test of two axis Linear Motor and this exerts influence on accuracy error of diagonal test. However, previous knowledge management approaches are limited in deviation measurement of optical axis or restrictive elements of diagonal measurements using laser interferometer. But this proposed method calculated diagonal accuracy error which was occurred by squareness error and compensated squareness error using orthogonal correction method of PMAC. From this result, diagonal accuracy error is significantly reduced. This experimental results show that geometric error of squareness error is easily corrected by dynamic coordinate correction.

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딥러닝과 앙상블 머신러닝 모형의 하천 탁도 예측 특성 비교 연구 (Comparative characteristic of ensemble machine learning and deep learning models for turbidity prediction in a river)

  • 박정수
    • 상하수도학회지
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    • 제35권1호
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    • pp.83-91
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    • 2021
  • The increased turbidity in rivers during flood events has various effects on water environmental management, including drinking water supply systems. Thus, prediction of turbid water is essential for water environmental management. Recently, various advanced machine learning algorithms have been increasingly used in water environmental management. Ensemble machine learning algorithms such as random forest (RF) and gradient boosting decision tree (GBDT) are some of the most popular machine learning algorithms used for water environmental management, along with deep learning algorithms such as recurrent neural networks. In this study GBDT, an ensemble machine learning algorithm, and gated recurrent unit (GRU), a recurrent neural networks algorithm, are used for model development to predict turbidity in a river. The observation frequencies of input data used for the model were 2, 4, 8, 24, 48, 120 and 168 h. The root-mean-square error-observations standard deviation ratio (RSR) of GRU and GBDT ranges between 0.182~0.766 and 0.400~0.683, respectively. Both models show similar prediction accuracy with RSR of 0.682 for GRU and 0.683 for GBDT. The GRU shows better prediction accuracy when the observation frequency is relatively short (i.e., 2, 4, and 8 h) where GBDT shows better prediction accuracy when the observation frequency is relatively long (i.e. 48, 120, 160 h). The results suggest that the characteristics of input data should be considered to develop an appropriate model to predict turbidity.

농업수리시설물 관리를 위한 정보시스템 개발 (Development of the Information System for Management of Irrigation Facilities)

  • 고홍석;최진규;고남영;이주승
    • 한국농공학회:학술대회논문집
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    • 한국농공학회 1999년도 Proceedings of the 1999 Annual Conference The Korean Society of Agricutural Engineers
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    • pp.130-136
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    • 1999
  • The management method of the irrigation facilities are different with management agency , type, user, purpose of use, and the accuracy of data applied for the grasp of present situation and maintenance is of a low grade. Therefore the information management system is needed to classify and systematize the data. The purpose of this study is to prepare the digital map of Chonbuk FLIA district, to construct the database of the irrigation facilities , to develop the information system for the management using World Wide Web, to supply and be able to use easily to whomever needs it.

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Development of a Matadata-based Green Building Information Management System for AEC Industries

  • OH, Minho;LIM, Se Young;KIM, Yong Hee;LEE, Tae Dong
    • 국제학술발표논문집
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    • The 6th International Conference on Construction Engineering and Project Management
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    • pp.646-647
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    • 2015
  • Green building information used by the AEC industry is diverse and extensive), causing difficulties for personnel regarding the collection and utilization of information in the form of inaccurate searches about related laws, inefficient management of searched information and overlapping works. Therefore, this research aims to propose a law search system utilizing metadata for more accurate and efficient searches of green building information. The proposed system is expected to contribute to improve productivity of construction projects by reinforcing the accuracy and efficiency of searches for the collection and utilization of green building information.

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