• Journal of Digital Convergence
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• v.13 no.10
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• pp.255-261
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• 2015

This paper aimed to analyze the factors affecting on the implementation of supply chain management (SCM) system of manufacturing company in Korea. For preparation of the data for this research, the Internet-based questionnaires with 5 Likert's scale were performed to the 125 manufacturing companies in Korea. The affecting factors on the implementation of SCM system were crystallized through factor analysis methods. And the correlations between factors were analyzed with structural equation model (SEM). The factors affecting on the implementation of SCM system are company's IT-competence and relationship with supply chains. This paper could contribute to show the guideline for the successful implementation of SCM system to the korean manufacturing company.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.11 no.2
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• pp.101-106
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• 1993

This study is a efficient management techniques of road by facility database. The purpose of road ledger investigate the property of road facility, the present condition of the location, the quality of the material of the ground and underground facility. Also, this is used to make plan for construction, and investment program of the road. To build road database, photogrammetry, ground control surveying and aerial photogrammetry must be performed. After the research of the road facility, a underground facility map and the road drawings are to be made. In this study, model area is the KUMJUNG-KU in Pusan where an industrial road is located on. There are about 7,000 signal lampes and traffic safety boards. It is possible to manage scientifical and efficient road ledger though statistical handling using facility database. In this paper, authors found the database of road facility through basic circumstances in the use of SML of ARC/INFO.

• Journal of Internet Computing and Services
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• v.12 no.3
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• pp.101-110
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• 2011

WMN is highlighted as a next generation network technology due to relatively reasonable cost to be built, compared with the pre-existing wireless network. It also enables same kind of network or even other kind of network to be integrated. Some WMN researches support mobility using router protocol such as AODV and DSR because WMN has the similar features with Ad-hoc network in terms of operation. However, WMN has got different operations with additional functions of multi-interface and internet connect, it can't be a good method to manage efficient mobility any more. This study suggests method to apply MAP function of HMIPv6 to WMN as a way to manage WMN mobility. Through simulation, operation was verified and function was appreciated. Through the results of evaluation, the suggest mobility management had shorter handover delay and packet loss reduced, which improved whole network throughput rate, compared with mobility management using AODV.

• Journal of the Korea Computer Industry Society
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• v.4 no.12
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• pp.986-998
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• 2003

A moving object management system manages spatiotemporal data o( moving objects which change their location continuously over time such as people, animals, cars, cellular phones, and so on. This system can be applied to location based services such as vehicle tracking systems, digital battlefields, and animal habitat management. The existing systems neither suggest location estimation of the moving objects nor handle the loss data of the moving objects in real-time environment. Thus the existing systems have problems that they give the uncertain results of the query processing to the user query. In this paper, we design a new moving object management system. The proposed system processes the past and future location information of the moving objects by the location change function. Also we propose a location triggering method, which supplements loss of the location data of the mobile objects in real-time environment. Finally, we implement and apply the proposed system to a vehicle tracking system based on PDA. Thus we ascertain that the proposed system can be applied to the location based system.

• The Korean Journal of Applied Statistics
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• v.21 no.4
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• pp.639-647
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• 2008

This study used the characteristics of the knowledge discovery and data mining algorithms to develop tailored hypertension follow up management model - hypertension care predictive model and hypertension care compliance segmentation model - for hypertension management using the Korea National Health Insurance Corporation database(the insureds’ screening and health care benefit data). This study validated the predictive power of data mining algorithms by comparing the performance of logistic regression, decision tree, and ensemble technique. On the basis of internal and external validation, it was found that the model performance of logistic regression method was the best among the above three techniques on hypertension care predictive model and hypertension care compliance segmentation model was developed by Decision tree analysis. This study produced several factors affecting the outbreak of hypertension using screening. It is considered to be a contributing factor towards the nation’s building of a Hypertension follow up Management System in the near future by bringing forth representative results on the rise and care of hypertension.

• Journal of the Korean Society of Marine Environment & Safety
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• v.13 no.2 s.29
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• pp.141-146
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• 2007

In this study, we have investigated several input factors and output factors to maintain safety management of domestic shipping companies, and then have analyzed the efficiency of performance about each shipping companies' safety management system from 1998 year to 2004 year using DEA method. The result of analysis shows that the annual mean efficiency index of total companies tended downward every year. Analysis was that the cause was increase of the cost of repairing ship, the cost of ship's stores and idle day of ship while the number of marine accidents and sanctions of PSC, ship's insurances and P&I insurances was decreased.

• Journal of the Korea institute for structural maintenance and inspection
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• v.20 no.1
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• pp.48-55
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• 2016

The assessment and prediction of service life of a structure are usually under uncertainty so that rational probabilistic concepts and methods have to be applied. Based on these rational assessment and prediction, optimum maintenance strategies to minimize the life-cycle cost and/or maximize the structural safety can be established. The service life assessment and prediction considering maintenance actions generally includes effects of maintenance types and times of the structural components on the service life extensions of structural system. Existing researches on the service life management have revealed the appropriate system modeling considering the correlation among the components is required for system reliability analysis and probabilistic service life estimation. However, the study on correlation among the maintenance actions is still required. This paper deals with such a study for more effective and efficient service life management. In this paper, both the preventive and essential maintenances are considered for the extended service life estimation and management.

• Korean Journal of Construction Engineering and Management
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• v.13 no.5
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• pp.135-143
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• 2012

Constructing super-tall buildings is significantly different from constructing general ones in every technological and managerial aspects. Especially lift-car operations planning and management is one of core parts among various management techniques required during the course of the whole construction process of the super-tall buildings because vertical movements of physical resources enormously affect the efficiency of the construction processes. However, discrepancy between lifting plans and actual lifting operations causes serious efficiency problems. As an effort to solve the problem, this research suggests an improved method of estimating resource-based lifting load. The computing model developed as a result of this research facilitates more accurate computation of the total operation time and the maximum lifting capacity of the lift-cars. Further, this research can be developed as a decision support system for the total lift-car operations management.

• Korean Journal of Construction Engineering and Management
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• v.19 no.4
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• pp.43-51
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• 2018

As the inventory of aged apartments is expected to increase explosively, the importance of maintenance to improve the durability of concrete facilities is increasing. Concrete compressive strength is a representative index of durability of concrete facilities, and is an important item in the precision safety diagnosis for facility maintenance. However, existing methods for measuring the concrete compressive strength and determining the maintenance of concrete facilities have limitations such as facility safety problem, high cost problem, and low reliability problem. In this study, we proposed a model that can predict the concrete compressive strength through images by using deep convolution neural network technique. Learning, validation and testing were conducted by applying the concrete compressive strength dataset constructed through the concrete specimen which is produced in the laboratory environment. As a result, it was found that the concrete compressive strength could be learned by using the images, and the validity of the proposed model was confirmed.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.457-467
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• 2019

In recent years, various methods have been attempted to visually manage the construction site efficiently, and in particular, there has been a tendency to use a UAV or a drone in the air rather than a land on a construction site, Can be visually photographed and recorded or analyzed. In this study, the unmanned aerial photographs were taken at least three times and the USN sensors were simultaneously operated on the main structure at the time of shooting, The goal of this research was to make the image information and environmental information of the construction site available for efficient construction management by matching. As a result, not only professional engineers at construction sites but also administrative managers can visually confirm the detailed situation of the site at the time of the construction site and the completion status, and can help decision making in appropriate budget input and appropriate resource support The experts in each field discussed the safety management of the construction site, the prevention of disaster and various factors of change which can be changed by natural environment factors.