• International Journal of Knowledge Content Development & Technology
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• 제13권2호
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• pp.7-22
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• 2023

The development of rural areas is expected to be holistic covering all essential infrastructure. Community information centres (CICs) are agen- cies that should be part of the infrastructures for rural development. Unfortunately, these centres are hardly seen in rural communities in Nigeria, including Afikpo in Ebonyi State. Thus, this study was conceived to explore the perceptions of citizens towards the establishment of CICs in the locality. It adopted survey research method with questionnaire as instrument for data collection, which was self-developed and validated by experts with a pre-texted reliability index of 0.72. A total of 399 copies of the questionnaire were distributed, out of which 267 copies were properly completed, representing 67% and were used for analysis. Findings revealed that the citizens have overall positive perception to- wards establishing the CICs; they are also knowledgeable of the benefits of such centres. Furthermore, there are workable suggestions on ways of establishing, funding and managing CICs in Afikpo. In addition, about 65% of the respondents indicated interest to assist and support the funding and management of the CICs when established. However, the challenges of inadequate funding and support as well as the possible politics of where to site/locate the CICs in Afikpo, are likely impediments to the project. The study concluded that citizens have strong and positive disposition towards establishing CICs in Afikpo. The implications of such CICs for technological innovations were analysed. The study recom- mends, among others, that government should see the establishment of CICs as priority projects that would significantly contribute to the growth and development of rural communities in Nigeria; communities in Afikpo should explore self-help approach to development; and political representatives from Afikpo should take advantage of establishing CICs as constituency projects for the citizens.

• 한국산학기술학회논문지
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• 제14권7호
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• pp.3203-3210
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• 2013

본 기업 경쟁력 향상의 새로운 척도로 디자인의 중요성이 부각되면서 종합적인 관점에서 디자인을 진단해주는 디자인컨설팅에 관한 관심이 높아지고 있다. 그러나 대기업에 비해 중소기업은 디자인을 접할 기회가 부족하여 디자인의 중요성을 간과하는 경우가 많고 중요성을 알고 있다 해도 실제로 디자인에 투자할 자금력이 부족한 실정이다. 이에 본 논문은 2012년 부산디자인센터의 산업단지 중소기업 디자인지원 사업을 통해 산업단지 중소기업의 디자인 현황과 디자인컨설팅 성과를 분석하고 디자인컨설팅이 중소기업의 경쟁력 향상과 디자인 인식 개선에 어떤 영향을 주었는지 분석해보았다. 그 결과 대부분의 기업이 현재 자사 디자인에 만족하지 않고 있음에도 디자인에 대해 투자를 하지 않거나 뒤로 미루는 경우가 많았다. 그러나 컨설팅 이후 디자인의 중요성을 깨달은 65.6%의 중소기업이 디자인 개발을 진행했으며 그들 기업은 개선된 기업이미지와 제품 이미지를 통해 매출 상승효과를 가져왔다. 이는 디자인컨설팅이 중소기업의 경쟁력 향상과 디자인 인식 개선의 중요한 매개체 역할을 한 것으로 판단된다. 앞으로 중소기업에 직접적인 도움을 줄 수 있는 보다 심화된 디자인 진단 프로세스가 필요하며 국가사업 및 디자인 전문 업체와의 연계 등 꾸준한 사후관리를 통해 실질적인 디자인 개발 프로그램이 마련되는 디자인 컨설팅 지원 사업이 되기를 기대해본다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.831-838
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• 2022

Machine Learning is a process of using computer algorithms to extract information from raw data to solve complex problems in a data-rich environment. It has been used in the construction industry by both academics and practitioners for multiple applications to improve the construction process. The Construction Industry Institute, a leading construction research organization has twenty-five years of experience in benchmarking capital projects in the industry. The organization is at an advantage to develop useful machine learning applications because it possesses enormous real construction data. Its benchmarking programs have been actively used by owner and contractor companies today to assess their capital projects' performance. A credible benchmarking program requires statistically valid data without subjective interference in the program administration. In developing the next-generation benchmarking program, the Data Warehouse, the organization aims to use machine learning algorithms to minimize human effort and to enable rapid data ingestion from diverse sources with data validity and reliability. This research effort uses a focus group comprised of practitioners from the construction industry and data scientists from a variety of disciplines. The group collaborated to identify the machine learning requirements and potential applications in the program. Technical and domain experts worked to select appropriate algorithms to support the business objectives. This paper presents initial steps in a chain of what is expected to be numerous learning algorithms to support high-performance computing, a fully automated performance benchmarking system.

• The Journal of Asian Finance, Economics and Business
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• 제7권7호
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• pp.531-541
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• 2020

The purpose of the study is a theoretical and practical justification for building a mechanism for financing health facilities based on public-private partnerships from a pension fund in regions with environmental problems. The theoretical background is built on works of local and foreign authors on state and non-state pension provisions issues, pension funds' assets management. This study provides an analysis of the health status of the population of the Kyzylorda region; it analyzes also the worldwide and Kazakhstan practice of investing pension funds and implementing projects. There has been legislative and methodological framework for financing health projects based on public-private partnerships in Kazakhstan. The scientific methods considered in this study made it possible to develop a mechanism for financial support for the modernization of a healthcare facility using the budget of pension funds. The authors point out possible risks in the implementation of projects in the field of healthcare and make recommendations on the construction a mechanism for financing healthcare facilities in the regions of Kazakhstan with environmental problems. In addition, they underline the key insights of the analysis, which are requisites for identifying the profitability of project for business and social effects for the public. Factors influencing efficacy, effect and implementation risks identified.

• Geomechanics and Engineering
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• 제30권2호
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• pp.107-121
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• 2022

Coal pillar assessment is of broad importance to underground engineering structure, as the pillar failure can lead to enormous disasters. Because of the highly non-linear correlation between the pillar failure and its influential attributes, conventional forecasting techniques cannot generate accurate outcomes. To approximate the complex behavior of coal pillar, this paper elucidates a new idea to forecast the underground coal pillar stability using combined unsupervised-supervised learning. In order to build a database of the study, a total of 90 patterns of pillar cases were collected from authentic engineering structures. A state-of-the art feature depletion method, t-distribution symmetric neighbor embedding (t-SNE) has been employed to reduce significance of actual data features. Consequently, an unsupervised machine learning technique K-mean clustering was followed to reassign the t-SNE dimensionality reduced data in order to compute the relative class of coal pillar cases. Following that, the reassign dataset was divided into two parts: 70 percent for training dataset and 30 percent for testing dataset, respectively. The accuracy of the predicted data was then examined using support vector classifier (SVC) model performance measures such as precision, recall, and f₁-score. As a result, the proposed model can be employed for properly predicting the pillar failure class in a variety of underground rock engineering projects.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.188-195
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• 2022

Although issuing change orders is a common practice in the construction phase of any project, non-structural utility subcontractors are struggling and seek to find a way to reduce change orders. Therefore, this paper presents the analysis results on change orders to cultivate possible suggestions and solutions on how to reduce or minimize change orders in mechanical, electrical, and plumbing (MEP) works. Change orders in non-structural utility works are analyzed based on six categories such as rerouting and change of location, changes in weight, rejected design by Office of Statewide Health Planning and Development, District Structural Engineer, or the Structural Engineer of Record, unforeseen conditions, changed equipment, and owner-initiated change. The analysis findings showed that rerouting and changing location is the most significant cause, followed by unforeseen conditions. The results not only contribute to the existing body of knowledge on change order research area, but also help MEP contractors reduce the time and cost of change orders.

• 교육시설 논문지
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• 제20권2호
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• pp.25-32
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• 2013

The purpose of this study is to analyze the state-of-the-art solar energy system design cases among LEED(Leadership in Energy and Environmental Design) certified school projects and to explore the feasibilities for their applications in domestic school design. Investigating the sold wattages in some kinds of buildings, the wattages per an educational facility is the second-largest after that per an industrial facility. That shows that our attention should be actively directed to the utilization of New and Renewable Energy in school facilities. Therefore photovoltaics systems, lighting systems and solarthermal facilities of solar energy systems were analyzed in the LEED cases. Findings demonstrate that applications of solar energy systems in K-12 educational facilities have been executed more than those in higher educational facilities. However, K-12 educational facilities and higher educational facilities by private funds are not categorized as Green Buildings by Support for Making Green Buildings Act. That fact is needed to be amended. Besides that, design developments are needed for building integrated photovoltaics systems and solarthermal facilities in domestic educational facilities.

• 방사성폐기물학회지
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• 제19권1호
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• pp.29-38
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• 2021

The article summarises the status and competence of UJV Rez, a. s. (up to 2012, the Nuclear Research Institute Rez, Czech Republic) in the field of radioactive waste (RAW) management as a company managing of 95% of institutional radioactive wastes in Czech Republic. UJV Rez a. s. has been one of the Czech Republic's key research and engineering institutions in the field of nuclear energy production since 1955. The company processes and conditions prior to storage 95% of so-called institutional RAW and is the principal partner of the state with respect to the research support of the Czech deep geological repository development project. UJV Rez a. s. boasts its own accredited radiochemical analytical test laboratory, unique of its kind in the Czech Republic. Of equal importance is UJV Rez's active participation in a range of international organisations and associations and its involvement in wide range of international projects, and so as European projects. One of them is EU funded project PREDIS: Pre-disposal management of radioactive wastes, that has started at September 2020, focused on the field of low level radioactive waste (LLW) and intermediate level radioactive waste (ILW) pre-disposal.

• 한국건설관리학회논문집
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• 제10권3호
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• pp.3-12
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• 2009

뉴욕 주의 커뮤니티 재활성화는 커뮤니티 중심의 계획을 기반으로 이루어지고 있으며, 이는 미국 내의 커뮤니티 계획에 있어서 일반적인 접근방법이다. 연방정부는 재정지원에만 주력하고 가능한 간섭을 하지 않고 있으며, 주정부가 재활성화에 필요한 계획, 재정, 인력, 정보 등을 지원하는 체계적인 지원체계의 수립에 더욱 노력을 기울이고 있다. 주정부는 다른 주정부, 지방정부, 대학들과 연계하여 커뮤니티의 재활성화에 필요한 인적 물적 자원들을 주의 실정에 맞게 재구성하고, 자체 지원시스템을 만들어, 커뮤니티가 스스로 재활성화 계획을 실행 할 수 있도록 돕고 있다. 본 연구에서는 뉴욕 주에서의 커뮤니티 재활성화 계획 과정이 어떻게 이루어지고 있으며, 계획과정 상 커뮤니티 구성원들의 참여가 어떻게 이루어지고 있는지, 본 연구자가 직접 참여한 The Black River Vision Plan/ City of Watertown의 사례연구를 통해 자세히 알아보았다.

• 한국CDE학회논문집
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• 제21권4호
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• pp.363-377
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• 2016

The introduction of the BIM into the architectural service industry is currently not being conducted smoothly. The purpose of this research is to, considering the current state of the market, establish long-term strategies that will enable the BIM to successfully settle. The survey has been conducted in target of architects in order to understand pending issues. Additionally, the articles regarding BIM have been researched for the purpose of better understanding the current societal demands. Indicated by survey results, the architects agree to a certain extent upon the need of BIM for architectural designs, yet also express concerns that the BIM introduction does not guarantee betterment in efficiency. The problematic aspects of BIM introduction that have already been discussed in some policy-related studies include a multitude of complicated issues that are unable to be resolved within a short period of time: underdeveloped BIM infra, the limit of BIM software itself, political issues regarding licensing and lack of social awareness. Based on the issues mentioned above, three main areas of focus along with their respective practical strategies and tasks have been designated. Finally, this research has analyzed the current situation and its issues along with the political solutions of 12 projects, amongst which include the standard for plan drawings, licensing system improvement, cost standard and BIM introduction support. Finally this research has analyzed the current situations and its' issues along with the political solutions of 12 projects, amongst them are the standard for plan drawings, licensing system improvement, cost standard and BIM introduction support.