• Title/Summary/Keyword: AHP Survey

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A Study on Spatial Structure Analysis Using the Integrated Model of Space Syntax and GIS - A Case Study of the Hapdeok Area in Dangjin City - (공간구문론과 GIS 통합 모델을 이용한 공간구조분석에 관한 연구 - 당진시 합덕읍 일원을 대상으로 -)

  • Yun, Jeong-Mi
    • Journal of the Korean Association of Geographic Information Studies
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    • v.15 no.3
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    • pp.13-22
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    • 2012
  • The spatial structure analysis using the existing space syntax has a weakness only to apply the road factor. Hence, it is necessary to perform a new spatial structure analysis considering the regional characteristics factor as well as the road factor. The purpose of this study is to propose a modified spatial structure analysis which adopts road and regional characteristics factors using the existing space syntax and GIS and then to apply it to the spatial structure analysis of the urbanized areas in Hapdeok town. For the new analysis, the experts' survey has been conducted to derive the spatial structure factors of the area and their relative weights. Specifically, it drew the road factor as well as the regional characteristics factors such as road, district, land value, and building density. This study shows that the existing spatial structure analysis considering only the road factor does not reflect the actual spatial structure but the modified spatial structure analysis considering the road factor and the regional characteristics factors more accurately analyzes the spatial structure of Hapdeok town. Hapdeok is not an area where road networks were developed along main development axis and its centrality was changed, but an area where road networks were developed by effectiveness and equity and its centrality was changed by downtown decline. The towns like Hapdeok is more suitable for applying the modified spatial structure analysis method considering the regional characteristics factors. Further research is required for selecting characteristics factors and appropriate parameters in the modified spatial structure analysis. Further case studies await in other cities for conducting its verification.

Improvement on performance management through quantitative evaluation method for technologies acquired from defense offset program (절충교역 획득기술 활용성과 정량화를 통한 성과관리 제고 방안)

  • Park, Tae-Woan;Jung, Tae-Yun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.2
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    • pp.609-618
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    • 2017
  • This paper presents the quantitative evaluation method for technologies acquired from the defense offset program. We firstly deduced the consideration in development by gathering the opinions of 128 experts by conducting a survey. Next, we made up an additional 49 experts for developing a performance management system of the offset program. The management system covered 4 technology fields which are defense R&D, depot maintenance, performance improvement, and manufacturing. The development procedure was composed of 4 parts: setting-up of work process, defining performance indicators, calculating weighted values of each indicator, and devising quantitative method. The results of this research could be used for enhancing the effectiveness of the offset program in 3 ways: establishing a systematic work process after acquisition of technology in offset program, establishing the positive feedback architecture by providing incentives to superior institute or company which is appointed through quantitative performance evaluating, and publicizing and promoting quantified outstanding performances for contributing to advance the offset program.

Analyses of Priorities in Contexts for the Script-based Speech Language Intervention by Age for 3~6 years Old Children in SLPs and Caregivers (3~6세 연령대별 언어장애아동의 언어중재 스크립트 상황에 대한 양육자와 언어재활사의 우선순위 분석)

  • Yoo, Jeewon;Yoon, Mi-Sun;Choi, Seong Jun;Hong, Gyung-Hun
    • The Journal of the Korea Contents Association
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    • v.19 no.4
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    • pp.207-217
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    • 2019
  • The current study aimed to examine how the caregivers and speech language pathologists (SLPs) would perceive the important communication contexts for 3~6 year-old children in the script-based intervention. Analytic Hierarchy Process analyses were conducted for the obtained survey data from SLPs and caregivers. Results showed that caregivers perceived 'educational and social life' and SLPs perceived 'family life' as the most important contexts from among three high-level contexts. Within each high-level context, 'meal time' in 'family life', 'playing with friends' in 'educational and social life', and 'playground' in 'culture and leisure life' were the most important communication contexts. Also, from among 35 global priority rank, caregivers perceived 'playing with friends' while SLPs perceived 'meal time' as the most important contexts, and 'family life' was high priority among first five ranked context both in caregivers and SLPs. In caregiver groups by children's age, 3 year- and 6 year-caregiver groups perceived 'family life' and 4 year- and 5 year-caregiver groups perceived 'educational and social life' as the most important contexts. There were also slight differences between caregiver groups by age in the rank order of communication contexts across the high level contexts. These results suggest that SLPs may need to consider not only child's age and developmental level but also caregiver's demands in selecting the appropriate communication contexts when delivering the script-based speech language intervention.

A Study on the Technology Analysis of Marine Unmanned System for Determination of Core Technology Requirements (핵심기술 소요결정을 위한 해양 무인체계 요구기술 분석 연구)

  • Won, You-Jae;Eom, Jin-Wook;Park, Chan-Hyun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.6
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    • pp.350-361
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    • 2019
  • The fourth industrial revolution based on the intelligent revolution has revolutionized the society as a whole, and it has also affected the defense sector. Various aspects of the war have been changing with the development of technology. In particular, various strategies such as research and development of core technology related to defense unmanned system field and infrastructure are being established based on the fourth industrial revolution technology. In this paper, we have conducted a study to select the technology required for maritime unmanned systems, which can be considered as a priority consideration for the future development of the core technology to be secured prior to the development of the weapon system. First, the core technology prioritization model for the marine unmanned system was established, and the technology fields of the unmanned robot were reclassified and integrated in the related literature such as the classification of the defense technology standard. For the empirical analysis, a questionnaire survey was conducted for 12 specialists who are engaged in the planning of weapons systems, and the importance of technical fields that require development in the development of marine unmanned systems was analyzed. As a result, it was possible to identify the key technology areas that should be considered in selecting the key technologies proposed by the military groups, research institutes, and companies. This could contribute to the establishment of the technology roadmap to develop the marine unmanned system from the future point of view.

Discovering Essential AI-based Manufacturing Policy Issues for Competitive Reinforcement of Small and Medium Manufacturing Enterprises (중소 제조기업의 경쟁력 강화를 위한 제조AI 핵심 정책과제 도출에 관한 연구)

  • Kim, Il Jung;Kim, Woo Soon;Kim, Joon Young;Chae, Hee Su;Woo, Ji Yeong;Do, Kyung Min;Lim, Sung Hoon;Shin, Min Soo;Lee, Ji Eun;Kim, Heung Nam
    • Journal of Korean Society for Quality Management
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    • v.50 no.4
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    • pp.647-664
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    • 2022
  • Purpose: The purpose of this study is to derive major policies that domestic small and medium-sized manufacturing companies should consider to maximize productivity and quality improvement by utilizing manufacturing data and AI, and to find priorities and implications. Methods: In this study, domestic and international issues and literature review by country were conducted to derive major considerations such as manufacturing AI technology, manufacturing AI talent, manufacturing AI data and manufacturing AI ecosystem. Additionally, the questionnaire survey targeting 46 experts of manufacturing data and AI industry were conducted. Finally, the major considerations and detailed factors importance were derived by applying the Analytic Hierarchy Process (AHP). Results: As a result of the study, it was found that 'manufacturing AI technology', 'manufacturing AI talent', 'manufacturing AI data', and 'manufacturing AI ecosystem' exist as key considerations for domestic manufacturing AI. After empirical analysis, the importance of the four key considerations was found to be 'manufacturing AI ecosystem (0.272)', 'manufacturing AI data (0.265)', 'manufacturing AI technology (0.233)', and 'manufacturing AI talent (0.230)'. The importance of the derived four viewpoints is maintained at a similar level. In addition, looking at the detailed variables with the highest importance for each of the four perspectives, 'Best Practice', 'manufacturing data quality management regime, 'manufacturing data collection infrastructure', and 'manufacturing AI manpower level of solution providers' were found. Conclusion: For the sustainable growth of the domestic manufacturing AI ecosystem, it should be possible to develop and promote manufacturing AI policies in a balanced way by considering all four derived viewpoints. This paper is expected to be used as an effective guideline when developing policies for upgrading manufacturing through domestic manufacturing data and AI in the future.

A Study on the Development of Assessment Index for Catastrophic Incident Warning Sign at Refinery and Pertrochemical Plants (정유 및 석유화학플랜트 중대사고 전조신호 평가지표 개발에 관한 연구)

  • Yun, Yong Jin;Park, Dal Jae
    • Korean Chemical Engineering Research
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    • v.57 no.5
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    • pp.637-651
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    • 2019
  • In the event of a major accident such as an explosion in a refinery or a petrochemical plant, it has caused a serious loss of life and property and has had a great impact on the insurance market. In the case of catastrophic incidents occurring in process industries such as refinery and petrochemical plants, only the proximate causes of loss have been drawn and studied from inspectors or claims adjustors responsible for claims of property insurers, incident cause investigators, and national forensic service workers. However, it has not been done well for conducting root cause analysis (RCA) and identifying the factors that contributed to the failure and establishing preventive measures before leading to chemical plant's catastrophic incidents. In this study, the criteria of warning signs on CCPS catastrophic incident waning sign self-assessment tool which was derived through the RCA method and the contribution factor analysis method using the swiss cheese model principle has been reviewed first. Secondly, in order to determine the major incident warning signs in an actual chemical plant, 614 recommendations which have been issued during last the 17 years by loss control engineers of global reinsurers were analyzed. Finally, in order to facilitate the assessment index for catastrophic incident warning signs, the criteria for the catastrophic incident warning sign index at chemical plants were grouped by type and classified into upper category and lower category. Then, a catastrophic incident warning sign index for a chemical plant was developed using the weighted values of each category derived by applying the analytic hierarchy process (pairwise comparison method) through a questionnaire answered by relevant experts of the chemical plant. It is expected that the final 'assessment index for catastrophic incident warning signs' can be utilized by the refinery and petrochemical plant's internal as well as external auditors to assess vulnerability levels related to incident warning signs, and identify the elements of incident warning signs that need to be tracked and managed to prevent the occurrence of serious incidents in the future.