• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.28 no.1D
• /
• pp.93-106
• /
• 2008

Domestic construction industry that accounts for nearly 17.5 percent of GDP is one of the major industries that has been leading domestic economy development. However, accumulated negative image such as corruption, fraudulent work and 3D industries shadowing the remarkable achievement is rampant. In order to improve the image for construction industry, this research investigated various cases and activities related to the image enhancement. Cases analyzed include activities of National Center for Construction Education and Research (NCCER) and Construction Industry Training Board (CITB) such as 'Build Your Future', 'Construct My Future', 'Positive Image 2004', and so on. Based on the analysis results, a strategic framework to improve the image of Korean construction industry was proposed. It is envisioned that improved image of the industry will positively affect the growth of the construction industry by attracting more qualified human resources.

• Korean Journal of Construction Engineering and Management
• /
• v.17 no.5
• /
• pp.62-70
• /
• 2016

Construction engineers are the core resource for the sustainable development of construction industry and positive images toward construction engineers give much impacts on recruit and retainment of the young and talented. Although previous studies reported on negative aspects of the image of construction industry, the image of construction engineers has not been properly investigated to date. The objective of the study is to compare images of construction engineers as perceived by general public and construction engineers themselves in order to identify key characteristics and implications. The result shows that construction engineers themselves, compared with general public, have more negative tendencies on images of construction engineers. The study suggests that it is critical to enhance the understanding of roles of construction engineers and their morality in order to improve general public's perception on construction engineers images. On the other hand, fundamental measures to be taken to restore the environments of construction industry for construction engineers to improve their self-perception on images of construction engineers.

• Journal of the Korea Institute of Building Construction
• /
• v.16 no.5
• /
• pp.471-477
• /
• 2016

The construction industry is very important to supply the facilities and infrastructure in Korea. However, the images of construction industry are negative in actual. In addition, the studies to improve the images of construction industry up to now have a limitation to research the images about that time. So, in this study, the authors examined and analyzed the peoples' trend changes of the images of construction industry with time. The results showed that the positive images of construction industry about the contribution to national economy and the future prospect are diminished. And it is revealed that the negative images of construction industry about the morality are decreased, too. The authors proposed the strategies to improve the images of construction industry by the based on these results.

• Korean Journal of Construction Engineering and Management
• /
• v.9 no.5
• /
• pp.75-85
• /
• 2008

The construction industry has been leading the growth of the nation's economy not only by providing with various infrastructure projects but also by positively impaction related industries such as crating numerous job opportunities. Relevant statistics show the production amount of construction taking about 17.5% of the GDP (Gross Domestic Product). In spite of its positive impacts on the economy, image of Korea construction industry is generally reflected as negative mainly because of its environmental disruption, low payment, bribe, fraudulent work and inefficiency. It brings students to be reluctant choosing the construction industry as their carrier path and governmental and principal research status. Therefore it has been difficult to recruit highly qualitied human resources to the industry while the morale of the whole industry has gradually become demoralized. To improve this stand, many domestic researchers carried out research projects for improving the image of Korea Construction Industry. This study also sympathizes with necessity of improving the negative image of construction industry to remain as one of the leading industry in the 21st century. Especially, this study focused on finding important factors which have significant influences on the image of the industry. Through out the research, image influence factors was identified by rigorous literature review and interviews as industrial and academic experts. Factors, then, categorized and used as the main framework for the survey which designed to fine the degree of impacts on the image of the construction industry. In analyzing the survey results, various statistical techniques was employed including factor analysis, Chi-Square-Test, Correlation Analysis and Multiple Linear Regression. Identified as the most influent factors to the image of the construction industry include morale of construction employee, and prospects the industry which of the judgement by payment, impacts on nation's economy, future of the industry, etc.

• 월간 기계설비
• /
• s.256
• /
• pp.60-65
• /
• 2011

건설산업의 선진화와 이미지 제고, 공생발전을 이끌어낼 핵심 허브로 '건설산업 공생발전위원회'가 출범했다. 국토해양부는 지난 10월 18 권도엽 장관 주재로 제1차 건설산업 공생발전위원회를 열고 발주자의 우월적 지위 개선, 하도급대금 미지급 행위 근절, 건설근로자 고용여건 개선 등 다양한 과제들을 논의할 예정이다.

• Korean Journal of Construction Engineering and Management
• /
• v.22 no.1
• /
• pp.106-115
• /
• 2021

Classifying work trades using images can serve an important role in a multitude of advanced applications in construction management and automated progress monitoring. However, images obtained from work sites may not always be clean. Defective images can damage an image classifier's accuracy which gives rise to a needs for a method to enhance a work trade image classifier's performance. We propose a method that uses work dependency information to aid image classifiers. We show that using work dependency can enhance the classifier's performance, especially when a base classifier is not so great in doing its job.

• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.37 no.2
• /
• pp.143-149
• /
• 2024

Segmentation of material phases through image analysis is essential for analyzing the microstructure of materials. Micro-CT images exhibit variations in grayscale values depending on the phases constituting the material. Phase segmentation is generally achieved by comparing the grayscale values in the images. In the case of waste concrete used as a recycled aggregate, it is challenging to distinguish between hydrated cement paste and natural aggregates, as these components exhibit similar grayscale values in micro-CT images. In this study, we propose a method for automatically separating the aggregates in concrete, in micro-CT images. Utilizing the Unet-VGG16 deep-learning network, we introduce a technique for segmenting the 2D aggregate images and stacking them to obtain 3D aggregate images. Image filtering is employed to separate aggregate particles from the selected 3D aggregate images. The performance of aggregate segmentation is validated through accuracy, precision, recall, and F1-score assessments.

• Proceedings of the Computational Structural Engineering Institute Conference
• /
• 2009.04a
• /
• pp.234-237
• /
• 2009

많은 건설 현장에서 카메라와 CCTV(Closed-circuit Television)와 같은 장비를 활용하여 건설 현장의 상황을 모니터링 하고 있다. 하지만 많은 작업이 실외에서 이루어지는 토목 건축공사의 특성상 적절한 수준의 영상 데이터를 축적하는 것은 쉽지 않은 일이다. 특히, 이미지 프로세싱기법을 사용 하여 자동화된 건설 관리의 수행 시, 영상 데이터의 품질에 따라 에러가 발생하여 건설 관리자가 잘못된 정보를 얻게 될 경우도 발생하게 된다. 본 연구에서는 케니엣지(Canny Edge) 인식기법과 워터쉐드(Watershed) 변환, 그리고 3D CAD Mask를 이용한 건축 구조물 기둥의 시공 상황 분석 기법에 근거하여, 영상 데이터 분석 시 오류를 최소화하기 위한 에러 제거 알고리즘을 제시한다. 실제 데이터와 비교를 통하여 그 활용 가능성 또한 검증한다.

• Construction Engineering and Management
• /
• v.16 no.1
• /
• pp.9-12
• /
• 2015

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• autumn
• /
• pp.129-136
• /
• 2001

Advances in new information technology enable practitioners at construction sites to capture image information on overall sites and various work results through digital cameras. Also more and more government agencies and clients are accepting construction site information in a digital format. This research developed an Internet-based construction image information management system for effective construction management and sharing information among project participants. This system named CiMS provides a way to store/search/share site image information by representing the information through the combination of work items, work areas, performing companies, captured dates and purposes. CiMS has been applied in a real construction project for system refinement and verification. It is expected that CiMS can improve the construction site photo management paradigm, and the contents of CiMS can be incorporated into the corporate knowledge database.