• Title/Summary/Keyword: deployment methods

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Case Study on ATM Equipments by Delphi Methods (델파이 방법 적용 사례 연구 - 초고속망 장비 관련 시장 예측과 관련하여 -)

  • 김범환;박종봉;김기영
    • Journal of Korea Technology Innovation Society
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    • v.3 no.3
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    • pp.102-112
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    • 2000
  • The authors of this paper chose the delphi methods to investigate into several areas to understand where the pressures for ATM equipments will emerge in the prescribed time horizon of 1999 to 2010- a period just beyond the current manufacturing and deployment schedules of most companies. The areas studied are the office buildings and interoffice connectivity as well as switches, and finally transmission facilities. This paper is matched into these areas with the results of a Delphi study of 14 respondents from the common carriers like Korea Telecom and national institutions like ETRI. The investigators calculated the average answer for each question and presents the questionnaires for a second round to individuals who had responded to the first round of questioning. As a result of this paper, the authors reached some conclusions regarding what item will be predominant in each of the areas studied as well as the promoters and barriers for ATM deployment and some suggestions are provided for corporate managers and policy makers. This Delphi study did not provide a strong and uniform forecast that ATM would dominate the marketplace in the early years of next millenium, as many had anticipated. Whether it is in he area of office connection, enterprise backbone, switches and transmission facilities, respondents predicted the patterns which indicate a movement toward higher-bandwidth connectivity, although not necessarily provided with ATM networks. A general pattern is that the predictions for ATM deployment in each of the areas were strong from the year 1999 to 2010.

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System Requirement Analysis of Guided Missile using Quality Function Deployment(QFD) and Analytic Hierarchy Process(AHP) (Quality Function Deployment(QFD)와 Analytic Hierarchy Process(AHP)를 이용한 유도무기의 시스템 요구도 분석)

  • Noh, Kyung-Ho;Hwang, Sung-Hwan;Lee, Ki-Seung;Kang, Dong-Seok;Kim, Ji-Eok
    • Journal of the Korean Society of Systems Engineering
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    • v.5 no.1
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    • pp.67-72
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    • 2009
  • User Requirements are analyzed and quantified by decision making models and system engineering methods to select alternative concepts which satisfy the various requirements. In this study, the design concepts for guided missile are derived using Quality Function Deployment(QFD) and Analytic Hierarchy Process(AHP). The design alternatives that satisfy the user requirements are extracted by QFD and Morphological Matrix, then the best design concept are obtained using AHP and Pugh concept Selection.

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Cost-Estimation Support System for Injection Mold Using QFD(Quality Function Deployment) and AI Methods (QFD(Quality Function Deployment)와 인공지능 기법을 이용한 사출금형의 견적지원시스템)

  • Kim Kunhee;Shin KiTae;Park JinWoo
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2003.05a
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    • pp.948-957
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    • 2003
  • 금형산업은 ETO(engineer to order)방식의 산업으로서 각 주문마다 견적가를 책정하는 것이 손익에 큰 영향을 미치게 된다. 현재, 대부분의 금형업체에서는 금형주문에 대한 견적을 금형전문가의 개별적인 지식에 의존하고 있는데 이러한 방식은 주관적이며, 체계적이지 못한 문제점을 갖고 있다. 따라서 보다 합리적이고 체계적인 기준에 의한 견적가 결정 방법이 필요하다. 본 연구에서는 먼저 고객의 요구사항을 QFD(Quality Function Deployment)를 사용함으로써 금형제작에 있어서 원가에 영향을 미치는 요소를 추줄하게 된다. 이렇게 얻어진 금형제작 정보와 고객의 주문정보를 바탕으로 인공신경망, 사례기반주론 등의 인공지능 기법을 사용하여, 사출금형의 견적가를 책정하는 사출금형의 견적지원시스템을 개발하고자 한다.

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Stochastic Integrated Generation and Transmission Planning Incorporating Electric Vehicle Deployment

  • Moon, Guk-Hyun;Kong, Seong-Bae;Joo, Sung-Kwan;Ryu, Heon-Su;Kim, Tae-Hoon
    • Journal of Electrical Engineering and Technology
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    • v.8 no.1
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    • pp.1-10
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    • 2013
  • The power industry is currently facing many challenges, due to the new environment created by the introduction of smart grid technologies. In particular, the large-scale deployment of electric vehicles (EVs) may have a significant impact on demand for electricity and, thereby, influence generation and transmission system planning. However, it is difficult to deal with uncertainties in EV charging loads using deterministic planning methods. This paper presents a two-stage stochastic decomposition method with Latin-hyper rectangle sampling (LHRS) to solve the integrated generation and transmission planning problem incorporating EV deployment. The probabilistic distribution of EV charging loads is estimated by Latin-hyper rectangle sampling (LHRS) to enhance the computational performance of the proposed method. Numerical results are presented to show the effectiveness of the proposed method.

A Case Study of Quality Assurance System Design based on the Quality Function Deployment (품질기능전개를 통한 품질보증시스템 설계의 사례연구)

  • 황문영;정상윤;하승철
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.18 no.35
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    • pp.79-88
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    • 1995
  • The Quality Assurance System proposed in this study is based on the functional deployment of quality, which is an integration of the FAST(Functional Analysis System Techique) in VE(Value Engineering) and the Quality Development Method of TQC(Total Quality Control). The proposed Quality Function Deployment is proved to be an efficient tool for the consistent management of quality Assurance in every stages of product life cycle. The purpose of this study is therefore to develop practical and systematic methods for quality assurance activities, so as to satisfy the consumer's needs at the most economic level. To verify the feasibility of this approch, a case study is performed.

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New framework for adaptive and agile honeypots

  • Dowling, Seamus;Schukat, Michael;Barrett, Enda
    • ETRI Journal
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    • v.42 no.6
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    • pp.965-975
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    • 2020
  • This paper proposes a new framework for the development and deployment of honeypots for evolving malware threats. As new technological concepts appear and evolve, attack surfaces are exploited. Internet of things significantly increases the attack surface available to malware developers. Previously independent devices are becoming accessible through new hardware and software attack vectors, and the existing taxonomies governing the development and deployment of honeypots are inadequate for evolving malicious programs and their variants. Malware-propagation and compromise methods are highly automated and repetitious. These automated and repetitive characteristics can be exploited by using embedded reinforcement learning within a honeypot. A honeypot for automated and repetitive malware (HARM) can be adaptive so that the best responses may be learnt during its interaction with attack sequences. HARM deployments can be agile through periodic policy evaluation to optimize redeployment. The necessary enhancements for adaptive, agile honeypots require a new development and deployment framework.

Design Direction of a Big Data based Performance Monitoring System using Quality Function Deployment (QFD를 이용한 빅 데이터 기반 성과 모니터링 시스템의 설계방향 도출)

  • Kim, Chang-Won;Kim, Taehoon;Seo, Junghoon;Lim, Hyunsu
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2021.05a
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    • pp.255-256
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    • 2021
  • The performance measurement of construction projects has traditionally been evaluated as a prerequisite for successful project completion. Considering this importance, the UK and the US are operating quantitative performance measurement systems for construction projects. However, in the case of Korea, there is a limit to the use of existing methods due to the limitation of data collection. Recently, in consideration of the domestic situation, research is being conducted to measure the quantitative performance of a project by using big data including progress and project attribute information. Therefore, this study aims to present the design direction of a performance monitoring system using Quality Function Deployment.

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Outcome Analysis on Renewable Energy Dissemination Program through Correlation Analysis and Effectiveness Indicator (상관관계분석, 설비투입액 비교 및 효율성 지표를 통한 신재생에너지보급사업의 정량적 성과분석 고찰)

  • Lee, Dong-Geon;Moon, Chang-Kwon;Heo, Eunn-Yeong
    • New & Renewable Energy
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    • v.6 no.2
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    • pp.33-39
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    • 2010
  • The objective of this study is to present a basis for the evaluation on the renewable energy dissemination program in Korea applying the outcome evaluation, one of the five types of evaluation methods of EERE, DOE, and the effectiveness indicator, which is suggested by IEA, OECD. The outcome evaluation quantifies achievements of program outputs and outcomes against planned time frame. We analyze the correlation coefficients between cumulative expenditure on the renewable energy dissemination program and each renewable energy deployment and the unit installation cost of several dissemination programs for the outcome evaluation. Meanwhile, the effectiveness indicator is calculated by dividing the additional renewable energy deployment achieved in a given year by the remaining mid-term realizable potential to 2020 in each source of renewable energy. The results show that correlation coefficients between cumulative expenditure and each renewable energy deployment are significantly positive during the implementation period of each deployment program. And photovoltaic energy, bio energy, and wind power energy show high effectiveness indicator.

Serum 2,3,7,8-Tetrachlorodibenzo-p-dioxin Levels and Their Association With Age, Body Mass Index, Smoking, Military Record-based Variables, and Estimated Exposure to Agent Orange in Korean Vietnam Veterans

  • Yi, Sang-Wook;Ohrr, Heechoul;Won, Jong-Uk;Song, Jae-Seok;Hong, Jae-Seok
    • Journal of Preventive Medicine and Public Health
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    • v.46 no.5
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    • pp.226-236
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    • 2013
  • Objectives: The aim of this study was to examine the levels of serum 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) and evaluate their association with age, body mass index, smoking, military record-based variables, and estimated exposure to Agent Orange in Korean Vietnam veterans. Methods: Serum levels of TCDD were analyzed in 102 Vietnam veterans. Information on age, body mass index, and smoking status were obtained from a self-reported questionnaire. The perceived exposure was assessed by a 6-item questionnaire. Two proximitybased exposures were constructed by division/brigade level and battalion/company level unit information using the Stellman exposure opportunity index model. Results: The mean and median of serum TCDD levels was 1.2 parts per trillion (ppt) and 0.9 ppt, respectively. Only 2 Vietnam veterans had elevated levels of TCDD (>10 ppt). The levels of TCDD did not tend to increase with the likelihood of exposure to Agent Orange, as estimated from either proximity-based exposure or perceived self-reported exposure. The serum TCDD levels were not significantly different according to military unit, year of first deployment, duration of deployment, military rank, age, body mass index, and smoking status. Conclusions: The average serum TCDD levels in the Korean Vietnam veterans were lower than those reported for other occupationally or environmentally exposed groups and US Vietnam veterans, and their use as an objective marker of Agent Orange exposure may have some limitations. The unit of deployment, duration of deployment, year of first deployment, military rank, perceived self-reported exposure, and proximity-based exposure to Agent Orange were not associated with TCDD levels in Korean Vietnam veterans. Age, body mass index and smoking also were not associated with TCDD levels.

Structural health monitoring of a newly built high-piled wharf in a harbor with fiber Bragg grating sensor technology: design and deployment

  • Liu, Hong-biao;Zhang, Qiang;Zhang, Bao-hua
    • Smart Structures and Systems
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    • v.20 no.2
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    • pp.163-173
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    • 2017
  • Structural health monitoring (SHM) of civil infrastructure using fiber Bragg grating sensor networks (FBGSNs) has received significant public attention in recent years. However, there is currently little research on the health-monitoring technology of high-piled wharfs in coastal ports using the fiber Bragg grating (FBG) sensor technique. The benefits of FBG sensors are their small size, light weight, lack of conductivity, resistance corrosion, multiplexing ability and immunity to electromagnetic interference. Based on the properties of high-piled wharfs in coastal ports and servicing seawater environment and the benefits of FBG sensors, the SHM system for a high-piled wharf in the Tianjin Port of China is devised and deployed partly using the FBG sensor technique. In addition, the health-monitoring parameters are proposed. The system can monitor the structural mechanical properties and durability, which provides a state-of-the-art mean to monitor the health conditions of the wharf and display the monitored data with the BIM technique. In total, 289 FBG stain sensors, 87 FBG temperature sensors, 20 FBG obliquity sensors, 16 FBG pressure sensors, 8 FBG acceleration sensors and 4 anode ladders are installed in the components of the back platform and front platform. After the installation of some components in the wharf construction site, the good signal that each sensor measures demonstrates the suitability of the sensor setup methods, and it is proper for the full-scale, continuous, autonomous SHM deployment for the high-piled wharf in the costal port. The South 27# Wharf SHM system constitutes the largest deployment of FBG sensors for wharf structures in costal ports to date. This deployment demonstrates the strong potential of FBGSNs to monitor the health of large-scale coastal wharf structures. This study can provide a reference to the long-term health-monitoring system deployment for high-piled wharf structures in coastal ports.