• Journal of the Korea Institute of Building Construction
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• v.12 no.5
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• pp.518-527
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• 2012

This study uses a hybrid estimation tool for effective cost data management of building projects, and develops a realistic cost estimation model. The method makes use of newly available information as the project progresses, and project cost and percentage progress are analyzed and used as inputs for the developed system. For model development, case-based reasoning (CBR) is proposed, as it enables complex nonlinear mapping. This study also investigates analytic hierarchy process (AHP) for weight generation and applies them to a real project case. Real case studies are used to demonstrate and validate the benefits of the proposed approach. By using this method, an evaluation of actual project performance can be developed that appropriately considers the natural variability of construction costs.

• Journal of the Korea Society of Computer and Information
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• v.20 no.8
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• pp.1-6
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• 2015

The MapReduce Program of Hadoop Distributed File System operates on any unspecified nodes due to distributed-parallel process and block replicate for data stability. Since it is difficult to guarantee the cache locality when a Solid State Drive is used as a cache in hadoop, cache hit-rate is decreased. In this paper, we suggest a method to improve cache hit rate by pre-loading the input data of the MapReduce onto the SSD cache. To perform this method, we estimated the blocks that are used on each node by using capacity scheduler and block metadata. Eventually we could increase the performance of SSD cache by loading the blocks onto SSD cache before the Map Task run.

• International Journal of Computer Science & Network Security
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• v.24 no.6
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• pp.17-22
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• 2024

Software cost and schedule estimation is usually based on the estimated size of the software. Advanced estimation techniques also make use of the diverse factors viz, nature of the project, staff skills available, time constraints, performance constraints, technology required and so on. Usually, estimation is based on an estimation model prepared with the help of experienced project managers. Estimation of software cost is predominantly a crucial activity as it incurs huge economic and strategic investment. However accurate estimation still remains a challenge as the algorithmic models used for Software Project planning and Estimation doesn't address the true dynamic nature of Software Development. This paper presents an efficient approach using the contemporary Constructive Cost Model (COCOMO) augmented with the desirable feature of fuzzy logic to address the uncertainty and flexibility associated with the cost drivers (Effort Multiplier Factor). The approach has been validated and interpreted by project experts and shows convincing results as compared to simple algorithmic models.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.115-127
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• 2019

This study aims to address the needs and effectiveness of performance measurement system for convenient facilities support project for people with disabilities performed by local government. In addition, it is also to develop performance measurement index based on logic model. The researchers conducted literature review and focus group interview to develop the performance measurement index. Then, through the project managers and related professionals, the researchers tested validity of the measurement. The final measurement consisted of 38 questionnaires in 8 sectors. With this performance measurement system, we expect to establish rationalization of overall disability services. Also the theoretical framework and approach of performance measurement will be applicable to diverse public social service sectors.

• Journal of the Korea Institute of Building Construction
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• v.22 no.2
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• pp.207-218
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• 2022

Changes in megatrends occurring within the spatial range of the production process can be critical factors that affect the performance of unit projects in construction industry, one of the representative order industries. Although changes in the megatrend are a prerequisite for successful performance achievement, previous studies suggested methods for performance measurement and management within the production process as major results. Accordingly, this study analyzed the megatrend related to domestic construction projects and presented critical impact factors(CIFs) that can be affect a project's performance. CIFs were set by combining keywords derived by reviewing major contents of related laws and policies and future strategy reports, and the importance of each indicator was quantitatively analyzed using analytic hierarchy process(AHP). It is expected that the findings of this study can provide meaningful basic data that the various stakeholders in a construction project can refer to when establishing the strategies to achieve successful performance.

• Journal of the military operations research society of Korea
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• v.36 no.2
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• pp.53-69
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• 2010

The long-term purpose of Military Acquisition Program Management (MAPM) is to fulfill requested performance, budget, and timing of military capability building. The Defense Acquisition Program Administration was established in 2006 and it adopted Integrated Control System. Moreover, there have no much studies done to examine the condition of Defense Capability Improvement Project in Korea through an empirical research although there are sixty one organizations are operating currently under Defense Capability Improvement Project. The objective of this study is to recognize Military Acquisition Program Management as a single project and to critically review relationship between Critical Success Factors (CSF) and Military Acquisition Program Management. Accordingly, three determinants to lead to successful Military Acquisition Program Management are "Communication" "User Participation" and "User Requirement." This study also demonstrates that Critical Success Factors have distinctive influences on successful Military Acquisition Program Management based on characteristic, size and phase of project. In retrospect, it is meaningful that Integrated Project Team (IPT) could classify priority of management according to characteristic, size and phase of project in the course of implementation.

• The Bulletin of The Korean Astronomical Society
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• v.42 no.2
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• pp.64.3-64.3
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• 2017

For the detection of transient sources in optical wide field surveys like KMTNet Supernova Project, difference imaging technique is commonly used. As this method produces a fair amount of false positives, it is also common to utilize machine learning algorithms to screen likely true positives. While deep learning methods such as a convolutional neural network has been successfully applied recently, its application can be limited if the size of the training sample is small. I will discuss a variation of more conventional method that adopts the wavelet transform for feature engineering and its performance.

• Fashion & Textile Research Journal
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• v.5 no.3
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• pp.221-226
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• 2003

This study evaluates the problems with various aspects of Korean mail carrier uniforms. It is sponsored by the as part of a 2002 research project. This research project is 'A study on mail collection and delivery environment based on ergonomics'. One of the most urgent tasks to create a better work environment is improvement of mail carrier uniforms. Improved uniforms will result in improved job performance and satisfaction.

• Korean Journal of Construction Engineering and Management
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• v.12 no.4
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• pp.29-39
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• 2011

In Korea, many mixed-used development projects(MXD) in mega project size are currently active. As these mega projects require long-term construction and execution and involve by different subjects in different fields, their completion breeds various problems, such as conflicts among project participants due to their complicated interest relationships and inaccuracy in predicting the economic performance of the projects due to inappropriate facility capacity planning. To solve these problems, it is essential to apply value engineering (VE) at the planning phase of the project, which can result in the best possible cost reduction and improvement of project performance. However, not many projects are actually implementing VE because of the lack of available information, as well as the limitations due to uncertainty in the early period of project execution. Therefore, this study aimed at proposing VE Team Building, Quality Model Performance Indexes, Space Model so as to resolve common mega project problems and overcome VE application limitations at planning stage. The result of this study is expected that the data can be utilized as basic data to apply VE at the planning phase of the large complex projects.

• Journal of Information Technology Services
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• v.7 no.2
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• pp.165-180
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• 2008

Although a number of studies concerning the performance of information system (hereafter, IS) have been performed, those in governmental organizations have rarely conducted. Moreover, there were not many that the perceptual level of individuals might have influence on the information system performance actually. This study tried to investigate the causal relationship between personal perceptual level on the operation and performance of IS, as a result of project for public innovation which deployed in a governmental organization. The targeted IS is for task management. Our survey's respondents are real users in a governmental organization. As a result of statistical analysis, the affecting factors, the perceptual level of individuals such as task process standardization, training and system education, and the active participation of manager positively affected system performance. The result of study can provide some implications to the governmental organizations who want to improve the system performance and efficiently operate their own IS for achieving the organizational goals.