• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.10C
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• pp.887-901
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• 2002

Software management model divided into the software project model and design estimation model, software matrices model, reliability growth model, process improvement model(or process maturity model) etc. Among these software management models, software complexity model make an estimated of the product software. For a practice of software managed, need to guideline of the static analysis of software. Especially, Software complexity model introduced for the estimation of software quantity and program complexity. In case of measurement the software matrices, its need for us to analysis of software quality and products. On the other hand, we known that complexity program include many defects and consuming of source cost. So, we apply to complexity model using of the program complexity, control structure and volume matrices, interface metrics, process complexity metrics method. In this paper, we represent that the analysis of fault data detected during the system test. Also, we analysis of program control structure and interface, volume matrices in various aspect of switching software. Others, their results utilized similar of project and system development.

• Journal of Korean Society for Quality Management
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• v.51 no.2
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• pp.283-296
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• 2023

Purpose: The purpose of this study is to actually implement and verify whether welding defects can be detected in real time by utilizing deep learning AI solutions in the welding process of electric vehicle hairpin winding motors. Methods: AI's function and technological elements using synthetic neural network were applied to existing electric vehicle hairpin winding motor laser welding process by making special hardware for detecting electric vehicle hairpin motor laser welding defect. Results: As a result of the test applied to the welding process of the electric vehicle hairpin winding motor, it was confirmed that defects in the welding part were detected in real time. The accuracy of detection of welds was achieved at 0.99 based on mAP@95, and the accuracy of detection of defective parts was 1.18 based on FB-Score 1.5, which fell short of the target, so it will be supplemented by introducing additional lighting and camera settings and enhancement techniques in the future. Conclusion: This study is significant in that it improves the welding quality of hairpin winding motors of electric vehicles by applying domestic artificial intelligence solutions to laser welding operations of hairpin winding motors of electric vehicles. Defects of a manufacturing line can be corrected immediately through automatic welding inspection after laser welding of an electric vehicle hairpin winding motor, thus reducing waste throughput caused by welding failure in the final stage, reducing input costs and increasing product production.

• Journal of the Korea Society of Computer and Information
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• v.14 no.10
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• pp.55-61
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• 2009

This paper describes a point of production(POP) system which collects and manages real-time shop floor machining information in a wafer dicing process. The system are composed of POP terminal, line controller and network. In the configuration of the system, LAN and RS485 network are used for connection with the upper management system and down stratum respectively. As a bridge between POP terminal and server, a line controller is used. The real-time information which is the base of production management are collected from information resources such as machine, product and worker. The collected information are used for the calculation of optimal cutting condition. The collection of the information includes cutting speed, spout of pure water, accumulated count of cut in process for blade and wafer defect. In order to manage machining information in wafer dicing process, production planning information is delivered to the shop floor, and production result information is collected from the shop floor, delivered to the server and used for managing production plan. From the result of the system application, production progress status, work and non-working hour analysis for each machine, and wafer defect analysis are available, and they are used for quality and productivity improvements in wafer dicing process. A case study is implemented to evaluate the performance of the system.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2017.05a
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• pp.258-259
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• 2017

As the use of advanced quality materials in constructions has been increasing since 1980 with the improvements in the quality of life and economic scale, there has been drastic increase in constructions using stones for the internal and external construction materials. However, the reality is where many problems rise due to improper construction and management of uncertified stones which shorten the expiry date of the stones and act as the factor causing defects in buildings. Such defects not only bring economic losses but also influence consumer choice and act as risk factors to demand expansion of stone market. Therefore, the object of this study lies on proposing plans to prevent personal and economical losses due to repetitive defects by deriving the types of defects generated by process in stone constructions and identify the causes. Also, proposing construction process management plans as the measure for defect prevention, analyzing problems of stone constructions followed by the whole proves of design, construction and maintenance of stones, and solving such problems through appropriate participation of professional consultants depending on situations.

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.5
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• pp.1145-1151
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• 2012

Recently, the demand for mobile system is growing owing to the spread of smart phones to enable the real-time business process. This paper proposes the real-time facility maintenance management system using an android-based mobile application to apply to the facility defect/maintenance field for the apartment building complex. The proposed system model aims to develop the comprehensive management system to integrate the web and mobile system to lead to the realization of mobile office. The security measures required in the mobile system are technically analyzed and implemented on the system.

• Journal of the Korea Institute of Building Construction
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• v.18 no.4
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• pp.355-361
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• 2018

Many defects are occurring in apartments, the main residential area in Korea. This is due to a lack of construction skills and a lack of management. As many apartments are provided to buyers, the dispute over defects after completion is increasing rapidly. The Housing Act was amended so that local governments could order contractors to repair defects. However, even if defects are resolved after a defect is generated, it is not a fundamental solution that can be satisfied because buyers have to endure the pain caused by the defect. So, it is necessary to protect the interests of buyers by fundamentally reducing defects in apartments. Therefore, in this study, it was suggested that the asymmetry of the information about the apartment buyers should be resolved at the time of sale of the apartment, the final drawings should be a contract document, the review period of the apartment house supervision should be secured, the appropriate supervisory fee should be secured at the time of contract change and the payment procedure should be improved.

• Korean Journal of Construction Engineering and Management
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• v.9 no.4
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• pp.57-65
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• 2008

As the society is being developed, the desire about life quality is also growing. Even though the process of waterproof work has very close relation with these life quality, we always focus on management after problem than the precaution of problem. So this process has the highest rate of mengel. We develop LCC analysis model considering the precaution and try to show the necessity of the precaution by comparing and analyzing every alternative proposal during LCC. By studying of the previous work and the result of questionnaire, we deduce the problem of waterproof work in construction area. By discussion with an expert in this process and research, we make solutions about precaution and set the cost items in every alternative proposal about these solutions. We understand the effect of each elements through sensitive analysis of the cost items, and find the economically best suited solution.

• Journal of Korean Society for Quality Management
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• v.52 no.1
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• pp.77-93
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• 2024

Purpose: The purpose of this study is to examine machine learning use cases in manufacturing companies from a digital quality management (DQM) perspective and to analyze and present machine learning research patterns from a quality management perspective. Methods: This study was conducted based on systematic literature review methodology. A comprehensive and systematic review was conducted on manufacturing papers covering the overall quality management process from 2015 to 2022. A total of 3 research questions were established according to the goal of the study, and a total of 5 literature selection criteria were set, based on which approximately 110 research papers were selected. Based on the selected papers, machine learning research patterns according to quality management were analyzed. Results: The results of this study are as follows. Among quality management activities, it can be seen that research on the use of machine learning technology is being most actively conducted in relation to quality defect analysis. It suggests that research on the use of NN-based algorithms is taking place most actively compared to other machine learning methods across quality management activities. Lastly, this study suggests that the unique characteristics of each machine learning algorithm should be considered for efficient and effective quality management in the manufacturing industry. Conclusion: This study is significant in that it presents machine learning research trends from an industrial perspective from a digital quality management perspective and lays the foundation for presenting optimal machine learning algorithms in future quality management activities.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.191-197
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• 2013

Recently, the demand for mobile systems is remarkably growing due to the explosive spread of smart phones. The mobile system based on the smart phones enables the real time communication and business process by utilizing the on-line information on the spot anytime and anywhere. This paper proposes a development model to use android-based mobile applications to be applicable to the facility defect maintenance management in apartment buildings. The proposed methodology aims to implement an incorporated system to bind the web-based system and the mobile system in systematic interaction in order to feasibly realize the concept of mobile office.

• The KIPS Transactions:PartD
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• v.17D no.6
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• pp.443-452
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• 2010

COTS system is increasingly seen as one of the main jobs of reuse development. It involves reliability of COTS that might affect the project schedule or the quality of the software being developed and taking action to avoid these risks. The results of the COTS analysis should be documented in the project plan along with an analysis of the attribute and operation. Effective risk management makes it easier to cope with problems and to ensure that these do not lead to unacceptable budget or schedule slippage. This research provides criteria of analysis of risk items to the estimation of process milestone on COTS development.