• Title/Summary/Keyword: Theory Deployment

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Assessing Risks and Categorizing Root Causes of Demolition Construction using the QFD-FMEA Approach (QFD-FMEA를 이용한 해체공사의 위험평가와 근본원인의 분류 방법)

  • Yoo, Donguk;Lim, Nam-Gi;Chun, Jae-Youl;Cho, Jaeho
    • Journal of the Korea Institute of Building Construction
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    • v.23 no.4
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    • pp.417-428
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    • 2023
  • The demolition of domestic infrastructures mirrors other significant construction initiatives in presenting a markedly high accident rate. A comprehensive investigation into the origins of such accidents is crucial for the prevention of future incidents. Upon detailed inspection, the causes of demolition construction accidents are multifarious, encompassing unsafe worker behavior, hazardous conditions, psychological and physical states, and site management deficiencies. While statistics relating to demolition construction accidents are consistently collated and reported, there exists an exigent need for a more foundational cause categorization system based on accident type. Drawing from Heinrich's Domino Theory, this study classifies the origins of accidents(unsafe behavior, unsafe conditions) and human errors(human factors) as per the type of accidents experienced during demolition construction. In this study, a three-step model of QFD-FMEA(Quality Function Deployment - Failure Mode Effect Analysis) is employed to systematically categorize accident causes according to the types of accidents that occur during demolition construction. The QFD-FMEA method offers a technique for cause classification at each stage of the demolition process, including direct causes(unsafe behavior, unsafe environment), and human errors(human factors) through a tri-stage process. The results of this accident cause classification can serve as safety knowledge and reference checklists for accident prevention efforts.

A Theory of Consciousness: Deployment of Language and Thought (의식론: 의식의 언어와 사고 전개 기능)

  • 김병원
    • Proceedings of the Korean Society for Cognitive Science Conference
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    • 2002.05a
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    • pp.145-150
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    • 2002
  • 의도와 관심의 실현을 위하여, 언어 행동을 주도하는 '의식'이 사고와 언어를 연결할 때에 드러내는 특성과 기능 일부를 밝히기 위해, <실용 논리> 수업 시간에 녹화한 한 대학생의 토론 첫 부분 내용을 Chafe의 '억양 단위' 분석법에 따라 분석한 결과, 억양의 단위는 평균 1.8초, 9.5음절로 구성되며, 언어와 사고는, 물처럼 흐르는 것이 아니라, 억양 단위로 끈어진 토막들이 의식에 의해 연결되면서 '관심점'의 내용이 전개되고 있는 것임을 발견하였다. 각 억양 단위 속에는 뚜렷하게 발음하는 하나 정도의 '초점'과, 그렇지 않은'주변' 내용과 형식으로 구성됨을 확인하고, 초점들을 서로 이으면 결국, 이어진 말 중심 내용이 드러남도 발견하였다. 한국어와 일본어 억양 단위는 주어+동사 형식을 갖추지 않은 예가 60%와 67.4%이므로, 주어+동사 모형은 언어와 사고 전개 모형의 한 예에 불과하다고 해석한다. 각 단위들의 연결 면에는 문제가 있음도 발견하였다.

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A Study on The Determination of Target Value in Quality Function Deployment (품질기능전개에서의 목표값 결정에 관한 연구)

  • 장현수
    • Journal of the Korea Safety Management & Science
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    • v.1 no.1
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    • pp.101-110
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    • 1999
  • QFD is a market driven design and development methodology for products and services to meet or exceed customer's needs and expectations, This method enables to specify clearly the customer's needs and then evaluate the product capability in terms of its impact on meeting those needs. Process of satisfying customers begins with effectively soliciting their different needs and wants which may be non-technical and imprecise in nature. Although the HoQ is a comprehensive tool for showing the relationships between attributes, it lacks the flexibility to deal with the inherent inexactness and vagueness in the voice of customer. In this paper, fuzzy theory is introduced to overcome this limitation. Qualitative customer requirements are interpreted quantitative data through fuzzy inference procedure, and then target value is determined.

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Fingerprinting Bayesian Algorithm for Indoor Location Determination (실내 측위 결정을 위한 Fingerprinting Bayesian 알고리즘)

  • Lee, Jang-Jae;Kwon, Jang-Woo;Jung, Min-A;Lee, Seong-Ro
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.6B
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    • pp.888-894
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    • 2010
  • For the indoor positioning, wireless fingerprinting is most favorable because fingerprinting is most accurate among the technique for wireless network based indoor positioning which does not require any special equipments dedicated for positioning. The deployment of a fingerprinting method consists of off-line phase and on-line phase and more efficient and accurate methods have been studied. This paper proposes a bayesian algorithm for wireless fingerprinting and indoor location determination using fuzzy clustering with bayesian learning as a statistical learning theory.

A Study For the Development of Enhanced Classification Method of Consumer Attributes (사용자 요구품질 추출과 분류방법의 개선에 관한 연구)

  • 김승남;김철홍;정영배;김연수
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.24 no.67
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    • pp.77-82
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    • 2001
  • A study was conducted to develop a better classification method of Consumer Attributes that can enhance user-centered product design process. A modified QFD(Quality Function Deployment) survey form based upon Fuzzy set theory was proposed which contains 9 steps of importance level, and Certainty and Necessity function to improve the reliability of extracted consumer attributes. To verify the betterment and advantage of proposed classification method, a series of questionnaire survey was performed. Thirty male and 30 female university students were participated in the survey using a VCR as a target product. The result of the study showed that 80% of subjects were preferred the proposed classification over existing method. A cluster analysis was performed to further verify the betterment of the proposed method. The result also supported that the proposed classification method is more reliable and enhanced method in extracting consumer attributes and can be applied in the product design.

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Wave-Energy Extraction by a Compact Circular Array of Buoys (원형으로 배열된 다수 부이에 의한 파랑에너지 추출)

  • Cho, Il-Hyoung
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.26 no.2
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    • pp.103-111
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    • 2014
  • The wave power, extracted from a circular array of small power buoys, is investigated under the potential theory. It is assumed that the buoy's radius, the draft, and the separation distance are much smaller than the water depth, the wave length, and the radius of a circular deployment area. The boundary value problem involving the macro-scale boundary condition on the mean surface covered by buoys is solved using the eigenfunction expansion method. The capture width, which is defined as the ratio of the extracted power to the wave power per unit length of the incident wave crest, is assessed for various combinations of packing ratio, radius of a circular array, and PTO damping coefficient. It is found that the circular array deployment is more effective in the viewpoint of efficiency than the single large buoy of the same total displaced volume.

Understanding the Current State of Deep Learning Application to Water-related Disaster Management in Developing Countries

  • Yusuff, Kareem Kola;Shiksa, Bastola;Park, Kidoo;Jung, Younghun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.145-145
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    • 2022
  • Availability of abundant water resources data in developing countries is a great concern that has hindered the adoption of deep learning techniques (DL) for disaster prevention and mitigation. On the contrary, over the last two decades, a sizeable amount of DL publication in disaster management emanated from developed countries with efficient data management systems. To understand the current state of DL adoption for solving water-related disaster management in developing countries, an extensive bibliometric review coupled with a theory-based analysis of related research documents is conducted from 2003 - 2022 using Web of Science, Scopus, VOSviewer software and PRISMA model. Results show that four major disasters - pluvial / fluvial flooding, land subsidence, drought and snow avalanche are the most prevalent. Also, recurrent flash floods and landslides caused by irregular rainfall pattern, abundant freshwater and mountainous terrains made India the only developing country with an impressive DL adoption rate of 50% publication count, thereby setting the pace for other developing countries. Further analysis indicates that economically-disadvantaged countries will experience a delay in DL implementation based on their Human Development Index (HDI) because DL implementation is capital-intensive. COVID-19 among other factors is identified as a driver of DL. Although, the Long Short Term Model (LSTM) model is the most frequently used, but optimal model performance is not limited to a certain model. Each DL model performs based on defined modelling objectives. Furthermore, effect of input data size shows no clear relationship with model performance while final model deployment in solving disaster problems in real-life scenarios is lacking. Therefore, data augmentation and transfer learning are recommended to solve data management problems. Intensive research, training, innovation, deployment using cheap web-based servers, APIs and nature-based solutions are encouraged to enhance disaster preparedness.

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An Analysis of Research Trends on Theory Use in Korean Library and Information Science: Focusing on Journal of the Korean Society for Library and Information Science from 2010 through 2014 (국내 문헌정보학의 이론 활용 연구 동향 분석 - 2010년-2014년 『한국문헌정보학회지』를 중심으로 -)

  • Kim, Sung-Jin
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.26 no.4
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    • pp.179-200
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    • 2015
  • The purpose of this study is to examine research trends on theory use in Korean LIS, and ultimately to identify its academic growth and change. This study conducted content analysis, with a sample of 344 articles in Journal of the Korean Society for Library and Information Science during the past five years from 2010 to 2014. Then longitudinal analysis was additionally carried out by comparing with a data set from 1984 to 2003. Findings are as follows. 13.7% of research articles used theories on average 2.02 times. The most theories were deployed at the level of Spot Citing and the next most theories were at the level of Theory Application. Research on the subject of education and information use/seeking used theories most frequently. Theories from LIS were 31.9% and those from social science were 58.3% of all. Also, longitudinal analysis results support the conclusion that there was no quantitative increase but was clear qualitative growth in theoretical research of LIS. And the current theoretical framework of LIS research has closer relationships with pedagogy and psychology among social science disciplines than in the past.

Traffic-Aware Relay Sleep Control for Joint Macro-Relay Network Energy Efficiency

  • Deng, Na;Zhao, Ming;Zhu, Jinkang;Zhou, Wuyang
    • Journal of Communications and Networks
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    • v.17 no.1
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    • pp.47-57
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    • 2015
  • With the ever growing demand of data applications, the joint macro-relay networks are emerging as a promising heterogeneous deployment to provide coverage extension and throughput enhancement. However, the current cellular networks are usually designed to be performance-oriented without enough considerations on the traffic variation, causing substantial energy waste. In this paper, we consider a joint macro-relay network with densely deployed relay stations (RSs), where the traffic load varies in both time and spatial domains. An energy-efficient scheme is proposed to dynamically adjust the RS working modes (active or sleeping) according to the traffic variations, which is called traffic-aware relay sleep control (TRSC). To evaluate the performance of TRSC,we establish an analytical model using stochastic geometry theory and derive explicit expressions of coverage probability, mean achievable rate and network energy efficiency (NEE). Simulation results demonstrate that the derived analytic results are reasonable and the proposed TRSC can significantly improve the NEE when the network traffic varies dynamically.

Development of Propagation Loss Prediction Software for the Indoor V-Band Millimeterwave Communication Environments (V-밴드 밀리미터파 대역의 실내 통신환경 분석을 위한 경로손실 예측 소프트웨어 개발)

  • Chun, Joong-Chang
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.1 no.1
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    • pp.35-39
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    • 2008
  • In this paper, we have developed a propagation loss prediction software with GUI (Graphic User Interface) functions, based on the geometrical ray optics model, which can predict radio parameters for the deployment of wireless indoor network. The program has two numerical modules consisted with electrical image and ray launching methods to implement UTD theory. The simulated results are compared with reported data measured in the foreign building environments for office and '一' type corridor, and measured and simulated results for the propagation loss agree with each other quite well. Simulation results for '一' type corridor and 'T' type corridor propagation environment are shown for reference.

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