• Journal of the Korean Geosynthetics Society
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• v.11 no.1
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• pp.65-75
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• 2012

Since the modem reinforced soil wall technology was introduced in domestic civil engineering society in the year 1980, the reinforced soil walls have been extensively used because these technologies have advantages such as economical efficiency, graceful appearance, and easy construction. This paper describes the application of reinforced soil wall, design criteria, and construction problems. Many cases of troubles, which include a severe deformation of facing, cracks of facing block, overall sliding failure and so on, have been reported. Inappropriate design and construction management mainly induce these problems. The technological level of design and quantity control for reinforced soil wall is not sufficiently supported to cope with the growth quantity of reinforced soil wall construction market and the increasing number of construction companies. The unified standard design and construction criteria of reinforced soil wall should be established with the detail consideration of overall performance and stability. The quality control of design and construction, and cost of construction must be seriously executed to construct a high quality of reinforced soil wall.

• Korean Journal of Construction Engineering and Management
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• v.3 no.1 s.9
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• pp.83-90
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• 2002

Actual construction data are unsystematically handled and uselessly hoarded after completion of the project although actual construction data can be applied to the various works of the future projects. Many researches have been carried out by several engineers and scholars of construction firms and research institutes, but the level of the application is not plausible yet. The objective of this paper is to propose a web-based data model and application system for commercial buildings in order to enhance the usability of the actual construction data on line. The principal factors of commercial building project data and the user$^{\circ}{\phi}s$ requirements in various areas, such as planning, design, procurement and construction and so on are analyzed to implement the database structure of the proposed system. The application of resource Information focused on cost, manpower, equipment is included in the system, which is expected to enhances the usability of actual database application system compared with other researches proposed so far.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.548-553
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• 2006

Activity-based productivity data can be used as an significant reference in many areas of project management such as performance evaluation and project planning. However, the existence of various factors influencing construction productivity makes it difficult to collect and analyze the productivity data. In the most of the domestic construction sites, there is no systematic method to collect and analyze the productivity data along with information on influencing factors; it is common to heavily rely on experience and intuition of field managers when dealing with construction productivity data. Therefore it is necessary to develop a management system for collecting and utilizing the productivity data as well as the factors influencing construction productivity. The main objective of this research is to define the construction productivity and its influencing factors at the activity level. In addition, methodologies on how to analyze the productivity data and to estimate productivity of future projects are proposed.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.347-350
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• 2006

Today the domestic construction industries are changing. The bigger, higher and more professional are gradually the construction industries, the faster does the fusion into the other industries also undergone. It is gradually needed to estimate the process of the project in the construction industries through this tendency. Consumers or the owner gradually reify their needs and it is essential for an objective appraisal standard to estimate the accomplishment of the project because its level is raised. In this study the problem is understood through the analysis on the existing system of construction industries and it is indicated to new performance measurement system in construction project through the analysis on the influential factors including the qualitative analysis such as consumer satisfaction.

• Korean Journal of Construction Engineering and Management
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• v.10 no.2
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• pp.34-45
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• 2009

In domestic, the Quality Management system of construction work has been compounded of the association of regulation which is ground for relevant law and operation of Quality Management system by ISO/KS A 9001(QMS) established by the contractor. Two quality guaranteed systems must be operated with complementary and integrated system, but we can not make full use of QMS of contractor and only run routinized quality management system in all construction project by the standard, methods, process provided in the law. These problems were demanded better condition in the past ten years, since the ISO standards have been introduced. Establishing preventive consideration of quality management by setting a goal of drastic quality guarantee is an urgent problem of construction industry. This study is quick to fellow, which should do three things. 1. The attitude survey related quality management of staff in charge in construction site has run. 2. Base on these results, we adjust satisfaction measurement about operation of construction quality management system. 3. Subsequently, we want to offer our thesis about advanced opinion for the next.

• Journal of the Korea Institute of Building Construction
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• v.17 no.3
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• pp.287-294
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• 2017

Recently the construction project is becoming large-sized, complicated, and modernize. This has increased the uncertainty of construction risk. Therefore, studies should be followed regarding scientifically identifying the risk factors, quantifying the frequency and severity of risk factors in order to develop a model that can quantitatively evaluate and manage the risk for response the increased risk in construction. To address the problem, this study analyze the probability distribution of risk causes, the probability of occurrence and frequency of the specific risk level through Monte Carlo simulation method based on the accident data caused at construction sites. In the end, this study derives quantitative analysis by analyzing the amount of risk and probability distributions of accident causes. The results of this study will be a basis for future quantitative risk management models and risk management research.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.343-346
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• 2007

Recent advances in automation and robotic technologies in the manufacturing industry suggest that the greater level of automation may be extremely beneficial for the construction industry. However, only some of the high-technology advances may be applied to the construction industry due to the fast-changing construction environment in which work locations are constantly changing and material, equipment, and workers are always moving. The earthwork operation for site development is a good candidate for applying automation technology, because it is a very repetitive and tedious task and needs lots of construction equipment. This paper presents the model of a construction environment and a moving plan for an automated earthwork system, which can produce an effective moving path of an excavator platform with an Octree model. To generate the moving path, the know-how of skilled operators and construction managers is added in the proposed model.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.304-311
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• 2022

Construction inspection is a crucial stage that ensures that all contractual requirements of a construction project are verified. The construction inspection capabilities among state highway agencies have been greatly affected due to budget reduction. As a result, efficient inspection practices such as risk-based inspection are required to optimize the use of limited resources without compromising inspection quality. Automated prioritization of textual requirements according to their criticality would be extremely helpful since contractual requirements are typically presented in an unstructured natural language in voluminous text documents. The current study introduces a novel model for predicting the risk level of requirements using machine learning (ML) algorithms. The ML algorithms tested in this study included naïve Bayes, support vector machines, logistic regression, and random forest. The training data includes sequences of requirement texts which were labeled with risk levels (such as very low, low, medium, high, very high) using the fuzzy logic systems. The fuzzy model treats the three risk factors (severity, probability, detectability) as fuzzy input variables, and implements the fuzzy inference rules to determine the labels of requirements. The performance of the model was examined on labeled dataset created by fuzzy inference rules and three different membership functions. The developed requirement risk prediction model yielded a precision, recall, and f-score of 78.18%, 77.75%, and 75.82%, respectively. The proposed model is expected to provide construction inspectors with a means for the automated prioritization of voluminous requirements by their importance, thus help to maximize the effectiveness of inspection activities under resource constraints.

• Korean Journal of Construction Engineering and Management
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• v.25 no.1
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• pp.13-22
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• 2024

On January 8, 2021, the Act on the Punishment of Severe Disasters passed the Legislation and Judiciary Committee and has been in effect in earnest since January 2022. However, safety accidents at construction sites are still continuing, and it is necessary to discuss ways to improve the safety awareness of construction workers. Therefore, in this study, data were collected through a survey of construction site workers, and the effect of the organizational climate of the workplace on the level of safety consciousness of workers was studied. As a result of the study, the factors of organizational structure, guaranteeing autonomy and consideration of supervisors among the organizational climate of the workplace had a positive effect on the improvement of workers' safety awareness. Based on this, this researcher suggested that workers should be delegated the authority to perform some tasks according to the situation and content of the work during the field work and that incentives should be compensated according to performance.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.629-636
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• 2024

In construction projects, the safety and productivity of machinery operations are of paramount importance. Contemporary research and industry endeavors predominantly concentrate on equipping machine operators with sensory information and establishing a comprehensive situation-aware operating environment, such as virtual reality-based machine manipulation training. However, significant limitations exist in direct information exchange and processing by on-site personnel. Notably, research on analyzing communication patterns in construction machinery operations remains scarce despite its critical role in preventing hazardous instructions/actions and enhancing machinery work efficiency. Thus, this research aims to (1) develop a novel interpreter modeling system predicated on millimeter-wave radar technology and (2) select the crane as an illustration to investigate the potential applications of this emerging communication paradigm during construction machinery operations. In this investigation, a spatial gesture signal interpreter was devised specifically for machine operators and signalers to augment the quality of communication during the execution of spatial localization tasks. Corresponding limitations that will be encountered in current communication systems were also addressed. This research uses a 60 GHz millimeter wave radar as a gesture trajectory detector, with the benefits of portability and robustness. Its millimeter-level precision enables the capture of highly accurate micro-gestures. The research constructs a novel 3D Spatial Gesture-based Trajectory Modeling system, which will be compared with traditional communication models in future research stages.