• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.11a
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• pp.122-123
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• 2019

Recently, road cutting works are frequently performed to repair aging underground utilities. However, the conventional road pavement cutting equipment in Korea generates a lot of noise and dust, and the development of high performance and eco-friendly equipment is required. This study classifies road cutting work and analyzes its work characteristics before improving road cutting machine. The classification and analysis results of this study will be used for the future productivity analysis and evaluation of road cutter developed.

• Journal of the Semiconductor & Display Technology
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• v.19 no.4
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• pp.121-125
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• 2020

With miniaturization of semiconductor, the manufacturing process become more complex, and undetected small changes in the state of the equipment have unexpectedly changed the process results. Fault detection classification (FDC) system that conducts more active data analysis is feasible to achieve more precise manufacturing process control with advanced machine learning method. However, applying machine learning, especially in supervised learning criteria, requires an arduous data labeling process for the construction of machine learning data. In this paper, we propose a semi-supervised learning to minimize the data labeling work for the data preprocessing. We employed equipment status variable identification (SVID) data and optical emission spectroscopy data (OES) in silicon etch with SF6/O2/Ar gas mixture, and the result shows as high as 95.2% of labeling accuracy with the suggested semi-supervised learning algorithm.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.467-470
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• 2006

The earth volume which is the basis of all the construction has gone through great development so far with the use of construction machine; however, systematic studies on the related area is in need since the appropriate compound engineering method of earth volume equipments which is a key factor for shortening the project duration and cost reduction is not systematically established and it is dependent on experience. Reasonable mechanical earth volume should take into consideration of performance and characteristics of the equipment, the kind of project, scale and conditions in advance. Also, the optimum compound engineering should be planned by selecting several available scales of equipment. In this study, the earth volume estimate model is established for optimum compound engineering of earth volume equipment for mechanized earth volume equipment loading and moving stage among many stages of earth volume task using system dynamics technique. The optimum compound engineering model of the earth volume equipment produced as a result of this is expected to make reasonable decisions in the shortest time in selecting earth volume facility.

• Journal of Drive and Control
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• v.16 no.3
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• pp.59-66
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• 2019

Hydraulic systems are essential for most of the construction equipments due to their various advantages, such as very powerful, quick response speed, precision control and remote control. Moreover, they are necessary to apply the electro hydraulic systems for precise and remote controls. Operating the small electronic joystick of the remote controller for the control of a multipurpose work machine with remote control technology increases the possibility of a sudden operation compared to the use of a conventional hydraulic joystick. When a joystick is suddenly operated, the peak pressure is generated in the system due to the quick response of the system. Then a vibration is generated due to the peak pressure, which causes instability to the operation of the construction equipment. Therefore, in this study, we confirmed the level of reduction of peak pressure occurring in the electro hydraulic system by using AMESim, when the output signal of the step shape generated by the sudden operation of the electronic joystick was changed by using the convolution operation.

• Korean Journal of Construction Engineering and Management
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• v.9 no.1
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• pp.55-65
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• 2008

It is increasingly recognized that the construction equipment play an important role as resources in construction process. The number of registered construction equipment in korea is over 320,000 according to the statistics. It is obvious that the machine-intensive construction method achieves productivity and quality improvement as well as safety. The main objective of this paper is to propose improvement plans for construction equipment management system in terms of scope, registration, inspection, rental business, operating licenses, and etc., which are the major issues described in the Construction Equipment Management Law. In order to satisfy the objective, this research conduct survey and interview with experts, and literature review on domestic and overseas related laws and regulations. The results of the research are about 20 issues for improvement plans for the better management system, so the further in-depth study on each issue will be recommended for the practical application to the law.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.311-325
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• 2023

In the construction machinery rental market, there are frequent cases of sublease through large-scale rental companies or rental through mediation organizations without legal grounds. In addition, institutional improvement of the construction machine safety management system has been required due to concerns over the internalization of legal inspections due to the lack of type approval data and construction machine history management during the construction machine inspection process. The government is responsible for securing safety of construction machinery and promoting mechanization of construction machinery by efficiently managing the construction machinery market by setting safety management such as type approval, registration, and inspection of construction machinery. In order to efficiently implement this, it is required to establish a platform for renting construction machinery and collecting safety management information. We presented a plan to build a public platform for construction machinery to secure the soundness of the construction machinery rental market and to improve safety management.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.05a
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• pp.8-9
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• 2021

FCP requires different curvatures and shapes according to the method of division, and it is necessary to manufacture a formwork accordingly. FCP production equipment consists of CNC equipment and side shape control equipment. This can be implemented in various shapes of upper, lower, and side surfaces. In the side shape control equipment, it is implemented as a variable side formwork. Among the required performance of the variable side formwork, there is stiffness against side pressure, which needs to be verified. Therefore, in this study, the FCP fabrication experiment is conducted with the developed variable side formwork. By analyzing the error in the shape of the fabricated FCP, the lateral pressure resistance capability of the side form is measured and verified.

• Journal of Drive and Control
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• v.10 no.3
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• pp.36-40
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• 2013

• Journal of Drive and Control
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• v.19 no.2
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• pp.11-16
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• 2022

It is important to measure the excavator's work productivity that estimates the bucket's payloads on a process. If the bucket isn't filled at every working cycle, the excavator's operator has to drive the machine more to achieve his work quota. If bucket is filled over with the load, the other way around, the transferred object has to spread out on the workplace. That causes additional work to clean the site. This paper proposes a method that can estimate the bucket's payload to improve the excavator's work productivity. This method assumes that the excavator is a lumped mass system. And it uses a 3 points angle (boom link, arm link, swing) and 2 points pressure (boom cylinder's input port and output port) of measurable data. Depending on assumptions, the bucket's payload can be calculated by the payload's motion equation. And this suggested method can be verified by simple experiments.

• International Journal of High-Rise Buildings
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• v.9 no.4
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• pp.335-342
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• 2020

This article comes up with a new method which is based on the visual characteristic of the objects and machine learning technology to achieve semi-automated recognition of the personnel, machine & materials of the construction sites. Balancing the real-time performance and accuracy, using Faster RCNN (Faster Region-based Convolutional Neural Networks) with transfer learning method appears to be a rational choice. After fine-tuning an ImageNet pre-trained Faster RCNN and testing with it, the result shows that the precision ratio (mAP) has so far reached 67.62%, while the recall ratio (AR) has reached 56.23%. In other word, this recognizing method has achieved rational performance. Further inference with the video of the construction of Huoshenshan Hospital also indicates preliminary success.