• Proceedings of the KSR Conference
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• 2000.05a
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• pp.503-510
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• 2000

Recently, many kinds of research has been actively developing for a standardization and information related to the construction works. These works include the general field of design, construction, supervision, maintenance and management on facilities. The works of database construction for a standardization and information were chiefly propelled centering around the present conditions related to the design, construction work. The field related to maintenance and management on facilities lags behind in the works of database construction. The establishment of standard classification system(SCS) on facilities and inspection data is most important among the things related to maintenance and management to have a efficiently maintenance and management. This paper suggests SCS on facilities and inspection data according to that of facilities. On the basis of SCS of facilities and inspection data, code work with classification system and input work for a data of maintenance and management was practised. The purpose of this paper is to suggest a kind of statistics data and investigate a characteristics of inspection using statistic data on tunnel structures

• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.05a
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• pp.235-236
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• 2016

The importance of construction management has been increasing due to the fact that complex construction projects blend several different industries depending on the traits of the construction. This research was conducted to search for a method to enhance efficiency in cost management of construction project and meet the need for reusability of accumulated construction information. The process of detailed estimation and methodology for using standard unit price information has been developed to strengthen the interoperability in cost information by utilizing a standard classification system. The concept of ontology is proposed as a method of connecting construction information based on a standard breakdown structure to increasing the connectivity of the cost information in the construction project. Therefore, construction information knowledge framework is developed in order to improve the efficiency of the detailed estimation work process.

• Journal of Construction Engineering and Project Management
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• v.5 no.1
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• pp.32-39
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• 2015

Construction industry is an aggregate of information that diverse information is integrated and controlled. To implement successful construction projects, it can be said that the information management is very important. In particular, because information of construction sites is controlled in a form of documents, importance of the document management in construction has been increased. But, by controlling information through documents, there are difficult problems in writing and classification of the documents and preservation and utilization of the information. Also, due to incompletion of the information management system, difficulty in systematic info management arises. For this reason, this study intends to suggest the document information breakdown structure for controlling document info efficiently which is generated at construction sites. For this, through the examination of preceding studies, establishment of the concept of the document info breakdown structure, the space breakdown structure, and the info breakdown structure, availability of document information is intended to heighten.

• Journal of Korean Library and Information Science Society
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• v.23
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• pp.329-362
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• 1995

Newspaper Article Information is an important source of information on social phenomenon with historical value. The development of computer and technology of information communication enables the construction of Newspaper Article Database by CTS and service through computer communication. It made it possible for the peoples to utilize the Newspaper Article Information easily. However, it is very difficult to utilize the currently prevailing system. There are differences in classification system of Newspaper Article Database and the Data Display Format. This survey aims to review the characteristics of Newspaper Article Database and current domestic computer communication service system. By comparing the classification system of Retrieval Menu and Data Display Format, I intended to suggest the standardized way of utilization which enables the users utilize them more easily and conveniently. The results of this survey is as follows : 1. More sub-divided distinction of classification item is required. 2. Separate classification item should be established for the distinction of article form which is very difficult to classify the subject. 3. Data Display Format should be equi n.0, pped with standardized format and signal which enables the users recognize it easily.

• Journal of the Society of Disaster Information
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• v.12 no.1
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• pp.10-18
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• 2016

This study presented a new NOS model through the following suggestions to apply the construction work planing and management to NOS(Network Operating System). First, This study presented CIMS(construction information classification system) reflected the characteristics of facility classification - functional component classification - functional component classification - work classification - resource classification. Based on this system. this study presented how to establish PMMB(performance measurement management baseline) with proposed master target equation which analyzed the trend of performance measurement management baseline and proposed work target equation which analyzed the execution results. Finally, this study presented NOS model that can be applied to fixed price method and cost plus fee method through the theoretical verification of executive performance analysis method.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.744-751
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• 2022

Construction is among the most dangerous industries with numerous accidents occurring at job sites. Following an accident, an investigation report is issued, containing all of the specifics. Analyzing the text information in construction accident reports can help enhance our understanding of historical data and be utilized for accident prevention. However, the conventional method requires a significant amount of time and effort to read and identify crucial information. The previous studies primarily focused on analyzing related objects and causes of accidents rather than the construction activities. This study aims to extract construction activities taken by workers associated with accidents by presenting an automated framework that adopts a deep learning-based approach and natural language processing (NLP) techniques to automatically classify sentences obtained from previous construction accident reports into predefined categories, namely TRADE (i.e., a construction activity before an accident), EVENT (i.e., an accident), and CONSEQUENCE (i.e., the outcome of an accident). The classification model was developed using Convolutional Neural Network (CNN) showed a robust accuracy of 88.7%, indicating that the proposed model is capable of investigating the occurrence of accidents with minimal manual involvement and sophisticated engineering. Also, this study is expected to support safety assessments and build risk management systems.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2013.05a
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• pp.164-165
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• 2013

Currently, the process of selecting products such as construction materials and equipment in the design phase proceeds based on the reuse of products used in the previous projects or samples from design companies as well as information on the limited products provided from the website of several manufactures. In particular, it is urgently required to formulate a standard product information management system that can be utilized in the BIM-based design environment these days. In Korea, domestic construction information classification system was developed, but its utilization has been underestimated since continuous studies on the practical usability are still lacking. Therefore, this paper derived problem of domestic construction materials information system by comparing with abroad material information system. Issues and implication is derived in terms of (1) Input information (2) Provide information, and (3) Utilize Information.

• Korean Journal of Construction Engineering and Management
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• v.25 no.1
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• pp.32-41
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• 2024

In the construction industry, not only safety accidents, but also various complex risks such as construction delays, cost increases, and environmental pollution occur, and management technologies are needed to solve them. Among them, process risk management, which directly affects the project, lacks related information compared to its importance. This study tried to develop a MATM tunnel process risk classification system to solve the difficulty of risk information retrieval due to the use of different classification systems for each project. Risk collection used existing literature review and experience mining techniques, and DB construction utilized the concept of natural language processing. For the structure of the classification system, the existing WBS structure was adopted in consideration of compatibility of data, and an RBS linked to the work species of the WBS was established. As a result of the research, a risk classification system was completed that easily identifies risks by work type and intuitively reveals risk characteristics and risk factors linked to risks. As a result of verifying the usability of the established classification system, it was found that the classification system was effective as risks and risk factors for each work type were easily identified by user input of keywords. Through this study, it is expected to contribute to preventing an increase in cost and construction period by identifying risks according to work types in advance when planning and designing NATM tunnels and establishing countermeasures suitable for those factors.

• Journal of the Korea Institute of Building Construction
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• v.11 no.3
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• pp.238-246
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• 2011

Choosing the best-performance materials is a crucial task for the successful completion of a project in the construction field. In general, the process of material selection is performed through the use of information by a highly experienced expert and the purchasing agent, without the assistance of logical decision-making techniques. For this reason, the construction field has considered various artificial intelligence (AI) techniques to support decision systems as their own selection method. This study proposes the application of a systematic and efficient support vector machine (SVM) model to select optimal exterior materials. The dataset of the study is 120 completed construction projects in South Korea. A total of 8 input determinants were identified and verified from the literature review and interviews with experts. Using data classification and normalization, these 120 sets were divided into 3 groups, and then 5 binary classification models were constructed in a one-against-all (OAA) multi classification method. The SVM model, based on the kernel radical basis function, yielded a prediction accuracy rate of 87.5%. This study indicates that the SVM model appears to be feasible as a decision support system for selecting an optimal construction method.

• Korean Journal of Construction Engineering and Management
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• v.1 no.1 s.1
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• pp.35-44
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• 2000

The major objective of construction process control(CPC) is to provide construction managers with operational information that will help reduce project duration and save project cost. However, the CPC in Korea is being applied to construction projects with some basic problems such as the inconvenience of CPC S/Ws and the process control unconcerned with construction information classification system and computer system to integrate cost and schedule. This study analyzes the present condition of CPC including the basic problems, and then suggests the reform measures in technical and operational viewpoints to reduce construction risk. The focus of study is on the technical improvement for the application of construction information management system applicable to both cost estimating and schedule management.