• 임상간호연구
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• 제26권2호
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• pp.175-185
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• 2020

Purpose: This study was performed to develop a valid and reliable Pediatric Patient Classification System (PPCS). Methods: The study was conducted in a children's hospital which included various ward settings. Content validity was analyzed by Delphi method and to verify intraclass correlation reliability, 7 nurse managers and 29 staff nurses classified 216 patients. To verify construct validity, the staff nurses classified 216 patients according to PPCS comparing differences by age, days of stay, type of stay and medical department. Results: The developed PPCS has 12 categories, 55 nursing activities and 80 criterions. High agreement among nurses (r=.90) suggested substantial reliability. Construct validity was verified by comparing differences in age, days of stay, type of stay and medical department (p<.05). The entire patient group were classified to four groups using PPCS. Conclusion: The findings suggest that PPCS would be a useful tool for estimating nursing demands related to medications and the complexity of pediatric patients.

• 한국건축시공학회지
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• 제14권5호
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• pp.477-485
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• 2014

표준품셈과 실적공사비 적산방식은 건설공사의 예정가격을 산정하는 가장 대표적인 기준자료이다. 하지만 이러한 공사비 산정방식은 1일 작업량 미만의 작업에서 정의, 할증 또는 보정기준 등이 명확하지 않아 적정 공사비의 산정이 어려운 실정이다. 따라서 본 연구는 1일 작업량 미만의 작업에서 표준품셈과 실적공사비의 문제점을 파악하고 이에 대한 개선방안을 제시하고자 한다. 이를 위해 본 연구에서는 경기도내 44개의 전문건설업체에 대하여 설문조사를 실시하여 빈도분석을 하였다. 본 연구를 통하여 표준품셈에서는 인건비, 실적공사비에서는 장비비, 공종별로는 도로포장 및 유지공사의 장비비가 각각 가장 높은 비율로 초과되었다는 결과를 도출하였다. 결과를 바탕으로 표준품셈과 실적공사비는 공사의 규모에 따른 구분 등 각각 3가지의 개선이 필요하다. 본 연구의 결과는 1일 작업량 미만의 작업에서 공사비 산정 제도의 개선을 위한 기초자료로 활용될 수 있을 것이다.

• 한국컴퓨터정보학회논문지
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• 제28권4호
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• pp.21-29
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• 2023

본 논문에서는 인구 조사에서 산업 및 직업 코드를 자동 분류하기 위한 인공지능 기반 시스템을 제안한다. 산업 및 직업 코드의 정확한 분류는 정책 결정, 자원 할당 및 연구를 위해 매우 중요하지만, 기존의 방식은 사람이 작성한 사례 사전에 의존하는 규칙 기반 방식으로 규칙 생성에 필요한 시간과 자원이 많이 소요되며 오류 발생 가능성이 높다. 우리는 본 논문에서 통계 기관에서 사용하는 기존의 규칙 기반 시스템을 대체하기 위해 사용자가 입력한 데이터를 이용하는 인공지능 기반 시스템을 제안하였다. 이 논문에서는 여러 모델을 학습하고 평가하여 산업에서 86.76%의 일치율, 직업에서 81.84%의 일치율을 달성한 앙상블 모델을 개발하였다. 또한, 분류 확률 결과를 기반으로 프로세스 개선 작업도 제안하였다. 우리가 제안한 방법은 전이 학습 기술을 활용하여 사전 학습된 모델과 결합하는 앙상블 모델을 사용하였으며, 개별 모델과 비교하여 앙상블 모델의 성능이 더 높아짐을 보였다. 본 논문에서는 인공지능 기반 시스템이 인구 조사 데이터 분류의 정확성과 효율성을 향상시키는 잠재력을 보여주며, 인공지능으로 이러한 프로세스를 자동화함으로써 더 정확하고 일관된 결과를 달성하며 기관 직원의 작업 부담을 줄일 수 있다는 점을 보여준다.

• Nuclear Engineering and Technology
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• 제52권9호
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• pp.2009-2016
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• 2020

A nuclear power plant is a large complex system with tens of thousands of components. To ensure plant safety, the early and accurate diagnosis of abnormal situations is an important factor. To prevent misdiagnosis, operating procedures provide the anticipated symptoms of abnormal situations. While the more severe emergency situations total less than ten cases and can be diagnosed by dozens of key plant parameters, abnormal situations on the other hand include hundreds of cases and a multitude of parameters that should be considered for diagnosis. The tasks required of operators to select the appropriate operating procedure by monitoring large amounts of information within a limited amount of time can burden operators. This paper aims to develop a system that can, in a short time and with high accuracy, select the appropriate operating procedure and sub-procedure in an abnormal situation. Correspondingly, the proposed model has two levels of prediction to determine the procedure level and the detailed cause of an event. Simulations were conducted to evaluate the developed model, with results demonstrating high levels of performance. The model is expected to reduce the workload of operators in abnormal situations by providing the appropriate procedure to ultimately improve plant safety.

• 보험의학회지
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• 제2권1호
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• pp.122-127
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• 1985

The basis for determining hearing disturbance adopted by the Life Insurance Industry is the loss of hearing power above 80 db on either or both sides, in accordance with the divide sixth method of audiometric test. Different types of small-to-medium-sized enterprises were chosen for the study of the extent of loss and the power of hearing. The following are the findings: 1. The disturbance percentage found among the types of occupation and different levels of age was found to be higher as the subject's ages increased. 2. The heavier the workload and the noisier the environment, the higher the percentage of disturbance. The average percentage of the subjects turned out to be 24.35%. Those engaged in sawing and wood-work showed 49%. Those engaged in machinery and equipment for transportation accounted for 42.6%. Those engaged in the metal products occupied 39.6%. The disturbance percentage among those engaged in such noisy works as press, pipe and sawing showed 32.52%. 28.46% of those workers with three to four years employment turned out to be disturbed in hearing. Of these, a high percentage of 43.9% showed disturbance in conversation or talk. 3. No hearing loss due to occupation beyond the Life Insurance standard of 80 db was found; therefore, the present status poses no problem. Constant attention, however, is needed.

• 대한인간공학회지
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• 제23권4호
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• pp.45-56
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• 2004

The purpose of this study is to evaluate perceived discomfort of working postures in terms of upper body (back, shoulder, and elbow) flexions when an external load varies. Eighteen subjects participated in an experiment of appraising perceived discomfort of varying upper body postures with three levels of external loads given. The ANOVA results showed that the perceived discomfort of upper body postures was significantly affected by the external load. It was also apparent that the interactions between external load and upper body posture were significant (p< 0.001). The result implies that a new posture classification scheme for workload assessment methods may be in need to reflect such interactions between external load and upper body posture. In order to support the statement, a regression model of perceived discomfort of upper body postures obtained from the experiment was developed and compared to that of perceived discomfort of seven work-related postures found in automobile assembly operations. The correlation coefficient between predicted and actual values of perceived discomfort was about 0.96. It is expected that the result help to properly estimate the body stress resluting from worker's postures and external loads and can be used as a valuable design guideline on preventing work-related musculoskeletal diseases in industry.

• 대한인간공학회지
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• 제23권4호
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• pp.9-21
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• 2004

As menu structure of household appliance is complicated, user's cognitive workload frequently occurs errors. In existing studies, errors didn't present that interpretation for cognitive factors and alternatives, but are only considered as statistical frequency. Therefore, error classification and analysis in tasks is inevitable in usability evaluation. This study classified human error throughout information process model and navigation behavior. Human error is defined as incorrect decision and behavior reducing performance. And navigation is defined as unrelated behavior with target item searching. We searched and analyzed human errors and its causes as a case study, using mobile phone which could control appliances in near future. In this study, semantic problems in menu structure were elicited by SAT. Scenarios were constructed by those. Error analysis tests were performed twice to search and analyze errors. In 1st prototype test, we searched errors occurred in process of each scenario. Menu structure was revised to be based on results of error analysis. Henceforth, 2nd Prototype test was performed to compare with 1st. Error analysis method could detect not only mistakes, problems occurred by semantic structure, but also slips by physical structure. These results can be applied to analyze cognitive causes of human errors and to solve their problems in menu structure of electronic products.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권12호
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• pp.5654-5668
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• 2018

Driven by security and real-time demands of Internet of Things (IoT), the timing of fog computing and edge computing have gradually come into place. Gateways bear more nearby computing, storage, analysis and as an intelligent broker of the whole computing lifecycle in between local devices and the remote cloud. In fog computing, the edge broker requires X-aware capabilities that combines software programmability, stream processing, hardware optimization and various connectivity to deal with such as security, data abstraction, network latency, service classification and workload allocation strategy. The prosperous of Field Programmable Gate Array (FPGA) pushes the possibility of gateway capabilities further landed. In this paper, we propose a software-defined gateway (SDG) scheme for fog computing paradigm termed as Fog Computing Zero-Knowledge Gateway that strengthens data protection and resilience merits designed for industrial internet of things or highly privacy concerned hybrid cloud scenarios. It is a proxy for fog nodes and able to integrate with existing commodity gateways. The contribution is that it converts Privacy-Enhancing Technologies rules into provable statements without knowing original sensitive data and guarantees privacy rules applied to the sensitive data before being propagated while preventing potential leakage threats. Some logical functions can be offloaded to any programmable micro-controller embedded to achieve higher computing efficiency.

• 한국전자통신학회논문지
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• 제17권5호
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• pp.897-904
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• 2022

스포츠 영상은 중요한 정보 자원에 속하여 있고 정확다가 높게 스포츠 영상 속에 유효 클립을 추출할 수 있어서 코치를 잘 보조하여 영상에서 선수들의 동작을 분석하며 사용자가 더 직관적으로 선수들의 타격 자세를 감상할 수 있다. 현재 스포츠 영상 클립 추출된 결과가 주관이 뚜렷하고 업무량이 많고 저효율 등 결함에 대해 MobileNetV3을 기반으로 스포츠 비디오 클립 분류 방법을 제시하였고 사용자의 시간이 절약하게 한다. 실험이 추출된 유효 클립에 대한 유효성 평가를 진행했으며 추출된 클립에서 유효적인 비율은 97.0%로 자지해서 유효 클립이 추출된 결과는 양호를 밝히는 동시 후속 배드민턴 동작의 원본 영상 데이터 집합의 구성을 위한 기초를 다진다.

• 대한인간공학회지
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• 제24권3호
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• pp.11-27
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• 2005

The objectives of this study are to analyze representative wrist postures while using hand tools and parts at general assembly processes, to evaluate perceived discomfort on the wrist when external loads are present, and to suggest an evaluation and prediction model of perceived discomfort. Sixteen subjects participated in an experiment to appraise perceived discomfort. Three types of the wrist postures with five levels of non-neutralities were analyzed when five levels of external load were applied to each posture. The ANOVA results showed that the perceived discomfort of wrist postures was significantly affected by both the wrist posture and external load (p$<$0.001). It was also shown that some of the interactions between external loads and the wrist postures(Flexion/$Extension^*$Load, Flexion/$Extension^*$supination/pronation, ulnar/radial $deviation^*$supination/pronation) were significant(p$<$0.001). The result implies that a new posture classification scheme for workload assessment methods may be needed to reflect such effects of external load and wrist posture. A regression model of perceived discomfort was developed with respect to wrist posture and external load from the experimental data. A subsequent experiment revealed that the correlation coefficient between the predicted values of perceived discomfort from the model and the actual values obtained from the experiment was about 0.98. It is expected that the results help to properly estimate the body stress resulting from worker's postures and external loads and can be used as a valuable design guideline to analyze potential hazard of musculoskeletal diseases in industry.