• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.132-132
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• 2019

첨단 IT기술과 음파와 영상을 이용한 하천 계측 기술의 결합을 통해 하천 수위와 유속을 자동으로 측정하는 기술들이 개발되고 있다. 특히, 표면영상을 이용한 자동유량계측 기술은 카메라 외에 별도로 고가의 장비를 구입할 필요가 없을 뿐 아니라 현장 상황을 영상으로 확인할 수 있기 때문에 현장조사 인력이 필요가 없어 경제적이고, 비접촉식으로 안전하여 각광받고 있는 기법이다. 하지만 표면영상유속계는 기본적으로 원근에 따른 영상왜곡이 발생하기 때문에 이를 정사영상으로 변환하는 과정이 반드시 필요하다. 하지만 대하천과 같이 하폭이 넓은 경우에는 참조점을 이용한 영상왜곡 보정이 어렵다는 한계가 있다. 또한 참조점을 이용한 영상왜곡 변환 방법의 경우 수위변화가 있는 경우 대응이 어렵다는 한계가 있다. 이에 본 연구에서는 참조점을 이용한 영상왜곡 보정 작업이 필요 없는 지표영상유속측정법(IIVM, Index Image Velocimeter)을 개발하였다. 지표영상유속측정법은 기존 표면영상유속계 달리 복잡한 영상좌표변환 과정을 매우 간단하게 처리할 수 있는 장점이 있다. 지표영상유속측정법은 지표영상유속과 카메라와 수표면 사이의 거리를 고려한 지표유속을 사용하고, 이를 통해 기존 표면영상유속계의 한계인 수위변화를 고려하기 어려웠던 점을 극복할 수 있었다. 본 연구에서는 수리실험과 현장영상을 활용하여 수위 변화에 따른 지표유속을 측정한 결과 하천 수위가 변화하는 상황에서도 표면유속을 정확하게 산정할 수 있었고, 실제 측정유속을 대신할 수 있는 지표유속으로도 활용 가능한 것을 확인하였다.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.1
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• pp.88-96
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• 2021

When oil tankers, large passenger ships and cargo ships sink under the sea owing to various maritime accidents, the residual cargo oil or fuel oil in the such vessels could pose direct risk to factor for the marine environment and it require safe and rapid removal. Although domestic and foreign salvage companies are adopting various recovery methods and technologies with customizations according to each site during recovery operations studies on reasonable assessment modules for the operation process are relatively insufficient. In this study, the data from trapped-oil recovery operations performed at different site conditions were collected and analyzed in order to designed an operation assessment module, define the operational process steps in terms of preparation, implementation and completion, and derive key factors for each detailed process. Subsequently, the module was designed in such a way as to construct performance indicators to assess these key factors. In order to exclude subjective opinions from the assessment as much as possible, the assessment each item was constructed with indicators based on data that could be evaluated quantitatively and its usefulness was verified by applying the module to the trapped-oil recovery operation cases. We expect this the method and the technology assessment module for the trapped-oil recovery operation on sunken vessels will help to verify the adequacy of the trapped-oil recovery such operation before or after. Furthermore, it is expected that the continuous accumulation of assessment data and feedback from past or future operation cases will contribute toward enhancing the overall safety, efficiency and field applicability of trapped-oil recovery operation.

• Food Science of Animal Resources
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• v.28 no.1
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• pp.91-98
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• 2008

This study was conducted to reveal the effects of pork consumption on the renal and hematochemical indices of workers occupationally exposed to an unclean environment for 6 weeks. Forty-five free-living volunteers were recruited from the workers employed in a car-engine part factory and a leather dyeing company in the Gyeonggi area. Volunteers were to submit a subject consent form prior to the study. They were asked to complete a questionnaire on dietary habits, and blood and urine samples were collected before and after the pork consumption trial. Pork dishes were fed twice weekly (150g per meal) as part of lunch or dinner at the work place. Urine N-Acetyl-${\beta}$-D-glucosamidase (NAG) levels were reduced after the trial, but total-cholesterol, HDL-and LDL-cholesterol levels did not change. However, triglyceride levels did increase significantly (p<0.005). The Zn, Pb, and Cd concentrations in serum tended to decrease, though without statistical significance. In conclusion, the regular consumption of pork may be beneficial for renal functions, however further research in this area is needed.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.278-281
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• 2008

As all industries field has changed very quickly, the field of construction faces in many changed. It is the representatively change that focus on the growth of quality level than increase of the quantity in construction. Whether the project successes or not is related to the survival of the company and it is necessity that we need performance measurement indicators to complete the project successfully. The domestic construction company considers overbearingly the cost-performance indicator in executing a project so far. It is rare of studies that suggest the methodology of more deeply measurement and analysis about the each project itself. The performance measured methodology based on Lean Construction is linked with the each project performance measurement methodology. This methodology uses three indicators such as the reliability, effectiveness and productivity at the sane their measuring whether each task is completed at the point of work. The measurement on the three performance indicators measure and evaluate whether the task is completed on the focus of construction duration. The research suggest the work plan reliability and weight of the performance measurement methodology based on the Lean Construction and the three considerately in the scope of measurement. If the suggestion is considered fully, we can indicate more objective and accurate construction project performance measurement indicators based on Lena Construction.

• Journal of the Society of Disaster Information
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• v.20 no.2
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• pp.302-314
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• 2024

Purpose: This study proposes a fall detection model based on a top-down deep learning pose estimation model to automatically determine falls of multiple workers in an underground utility tunnel, and evaluates the performance of the proposed model. Method: A model is presented that combines fall discrimination rules with the results inferred from YOLOv8-pose, one of the top-down pose estimation models, and metrics of the model are evaluated for images of standing and falling two or fewer workers in the tunnel. The same process is also conducted for a bottom-up type of pose estimation model (OpenPose). In addition, due to dependency of the falling interference of the models on worker detection by YOLOv8-pose and OpenPose, metrics of the models for fall was not only investigated, but also for person. Result: For worker detection, both YOLOv8-pose and OpenPose models have F1-score of 0.88 and 0.71, respectively. However, for fall detection, the metrics were deteriorated to 0.71 and 0.23. The results of the OpenPose based model were due to partially detected worker body, and detected workers but fail to part them correctly. Conclusion: Use of top-down type of pose estimation models would be more effective way to detect fall of workers in the underground utility tunnel, with respect to joint recognition and partition between workers.

• 산업보건소식
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• no.28
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• pp.3-10
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• 1986

• Science of Emotion and Sensibility
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• v.7 no.2
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• pp.133-140
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• 2004

A large number of indices are produced from human sensibility ergonomic data, which are accumulated by the project "Study on the Development of Web-Based Database System of Human Sensibility and its Support". Since the research in this field will be increased rapidly, it is necessary to automate the index processing of human sensibility ergonomic data. From the similarity between indexation and summarization, we propose the automation of this process. In this paper, we study on extraction of keywords, information types and expression features that are considered as basic elements of following techniques for automatic summarization: classification of documents, extraction of information types and linguistic features. This study can be applied to automatic summarization system and knowledge management system in the domain of human sensibility ergonomics.rgonomics.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.33 no.2
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• pp.115-118
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• 2000

The production of cultured coho salmon (Oncorhpchus kisutoh) in Korea has being increased year after year. Smolt being reared in freshwater suffer transferring into seawater and are farmed in cages for fattening. This handling processes including transportation, confinement into cages are unavoidable stress to fish in salmon farming and often end up to mass mortality, This study aimed to investigate the impact of handling process on the stress responses of coho salmon. The indicator of stress was measured by cortisol to be a first response, and for the second response test, glucose, triBlyceride, cholesterol, lactate and electrolyte of $K^+, Na^+, Cl^-$ in serum and the activities of alanine aminotrtnferase (ALT), aspartate aminotransferase(AST) and lactate dehydrogenase (LDH) were analyzed. As a result, the concentration of cortisol, glucose as well as LDH activity were significantly increased, whereas others showed no difference comparing with control group. It obviously demonstrated that handling process made fish stressful.

• Journal of Korean Library and Information Science Society
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• v.32 no.3
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• pp.91-115
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• 2001

Today academic libraries have to show that they are using given resources for right purpose and in the best way. In order to reach this goal, academic libraries should develop the effective evaluation model. And carefully selected and used, performance measures or evaluation indicators are the most important tool the Library has to ensure goals and objectives are being accomplished. The purpose of this study is to understand a theoretical foundation for evaluation indicators of academic libraries, that is, its diverse(various) meanings and directivity.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1999.11a
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• pp.352-355
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• 1999

실내에서 대부분의 시간을 보내는 현대인들에게 있어 쾌적한 실내환경은 작업의 효율성을 증대시킬 뿐만 아니라, 건강의 유지나 에너지 절약 차원에서 매우 중요한 요소이다. 따라서 국가에서도 감성공학 기반기술 개발 사업에서 쾌적한 실내 환경을 구현하기 위한 연구가 진행되고 있다. 본 연구에서는 이러한 연구의 결과들을 이용하여 쾌적한 실내환경을 구현하기 위한 요소를 지표화하였고, 결과 및 관련 내용을 비교ㆍ분석하였다. 그러나 지표화 과정에서 각 과제별 연구의 진행이 상호 독립적으로 이루어져 연구의 일관성이 부족한 것으로 나타났다. 또한 개별 과제의 연구 진행과정에서 상호연관성을 가진 부분이 실험계획이나 방법이 미흡해 결과에 대한 신뢰성 저하는 물론이고, 데이터 베이스 구축을 위한 자료통합에도 상당한 문제가 있을 것으로 나타났다. 이러한 문제를 해결하기 위해서 관련 연구과제 수행자들간의 적극적인 정보교류는 물론이고 지표의 타당성을 검증하는 실험도 필요할 것으로 보인다.