• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.517-519
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• 2004

기존의 컴포넌트 기반으로 응용 프로그램을 개발하던 소프트웨어 개발 방법론이 분산 컴퓨팅 환경에서 대규모 시스템 통합의 요구가 생겨남에 따라 서비스-기반 구조(SOA: Service-Oriented Architecture)로 점차 변화하고 있다. SOA를 구현하기 위한 최신 통합 기술인 엔터프라이즈 서비스 버스(ESB: Enterprise Service Bus)상에서 상호 작용하는 시스템 간에 교환되는 데이터 품질을 보장할 수 있다면 더 나은 서비스를 제공할 수 있다. 본 논문은 기존에 개발된 DAQUM(Data Quality Measuring tool)(1)을 이용하여 ESB상에서 통합된 시스템들간의 상호 작용하는 데이터 품질을 보장하기 위한 서비스를 개발한다.

• Korean Journal of Construction Engineering and Management
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• v.9 no.4
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• pp.193-205
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• 2008

Quality is an important keyword representing the corporate competitiveness and image in today' s construction industry. Especially in concrete construction, any problems or defects in fresh concrete can significantly degrade the entire quality and performance of the facility built. Thus, adequate quality inspection and testing must be exercised over the fresh concrete, if concrete with the required strength, durability and appearance is to be obtained. The testing of concrete delivered to the construction job site involves testing of fresh concrete and performing strength tests on hardened concrete. The principal tests conducted on fresh concrete include the slump test and tests for air and salt content. The temperature of fresh concrete should be checked out hot or cold weather concreting. The 7-day and 28-day strength of hardened concrete are also determined by compression tests on usually cylinder samples. However, it is very complex and time-consuming process requiring a lot of efforts to document those on-site concrete testing results and to accumulate their historical data. The primary objective of this study is to suggest a unique PDA and web-based system which enables an on-site quality manager to effectively conduct the concrete inspection and testing, automatically document and accumulate the collected historical data, and promptly obtain the approval from supervisors. Finally, it is anticipated that the effective use of the proposed PDA and web-based system would be able to improve reliability of the concrete quality inspection and testing data as well as significantly reduce the approval process.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.128-128
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• 2020

최근 농업환경의 변화와 기후변화에 대응하기 위해 농업용수 관리 정보화 및 과학화의 필요성이 증대되어 실시간으로 저수지 저수량과 농업용수 공급량을 파악하기 위해 자동 수위계측시설이 도입되었다. 농림축산식품부의 저수지 자동수위측정기 설치 및 운영지침에 따라 현재 농어촌공사 관리 저수지 1,734개소 및 수로부 1,880개소에 자동수위계가 설치되어 있으며, 저수지와 수로에서 10분 간격으로 수위자료가 생성되고 있다. 농업용 저수지 수문자료의 공인지점은 2016년 6개소에서 2019년 49개소로 증대되고 있으며, 데이터 품질 저하의 최소화 및 신뢰성 있는 수문자료 생성의 필요성이 증가함에 따라 농업용 저수지의 특성을 반영한 저수지 수위 오결측 데이터 보정 방안 및 수문 자료 품질관리 방안이 요구된다. 농업용 저수지의 수위 변화 및 강우-유출 현상은 물리적 모형을 구축하여 기상, 지형 등 영향 인자와 수위(또는 유출)와의 상관관계를 분석하는 것은 무적으로 불가능하였지만, 최근 인공신경망 (Artificial Neural Network, ANN) 등과 같이 black-box 형태의 모형을 이용하여 비선형적인 수문해석이 가능해졌다. 본 연구에서는 빅데이터와 인공신경망을 결합시킨 알고리즘인 딥러닝 (Deep Learning) 기반의 LSTM (Long Short-Term Memory) 모형을 활용하여 농업용 저수지 수위자료를 검토하여 자동계측기에서 발생하는 오류 보정을 위해 품질관리 방안을 제시하고자 한다.

• Journal of the Korea institute for structural maintenance and inspection
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• v.20 no.6
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• pp.120-127
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• 2016

Several problems including respiratory and skin disorders due to the problems for sick house syndrome have occurred, there appears echo friendly materials to solve the problems. The research is lacking in quality management techniques ocher concrete using nondestructive tests. In this research, the experimental works were conducted to study the initial quality control for the compressive strength of Ocher concrete(21 MPa). The purpose of this study is the implementation platform for quality management of ocher concrete using nondestructive tests. It uses the relationship between the compressive strength and ultrasonic pulse velocity of the ocher concrete to estimate the compressive strength of the ocher concrete. And using the impact echo method to estimate the thickness of the ocher concrete. The platform is based on a Java script, so that the user can obtain the data through the platform.

• Spatial Information Research
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• v.17 no.2
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• pp.231-241
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• 2009

Recently, The importance of a quality control for implementing 3D geospatial database has being emphasized to build a 21st century knowledge society and an ubiquitous land. The improvement of 3D geospatial database quality control through establishing an integrated quality control makes data suppliers update data efficiently and users get high quality data. The purpose of this study was to derive the improvement plan of 3D geospatial database quality control through the analyses of the existing 3D geospatial database quality control and case studies. The results of this study are as follows. Firstly, we defined the concept of 3D geospatial database quality control. Secondly, we set the boundary, factors and process of 3D geospatial database quality control through classifying it in detail. Lastly, we drew improvement contents such as the quality control checklist by implementation process according to the improvement plan of 3D geospatial database implementation.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.12 no.4
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• pp.345-361
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• 2014

The systematic quality assurance activities on documents of the safety assessment are required for the safety case of the low- and intermediate-level radioactive waste disposal facility. In this paper, quality assurance system focused on the input data including the site characterization, groundwater flow, system design and monitoring are prepared and discussed. Rule for the input data selection is suggested and applied for the safety assessment which is based on the in-situ/experiment observations, final facility design and waste pileup plan, engineered barrier, field monitoring, recent biosphere, and radionuclide inventory. The reduction of data uncertainty will be expected to contribute to the safety of disposal facility further.

• Korean Journal of Construction Engineering and Management
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• v.6 no.1 s.23
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• pp.140-150
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• 2005

Recently, quality inspection and defect management have been considered as one of the major issues for increasing customer satisfaction and corporate image in domestic construction industry. However, the quality inspection and defect management have not been performed systematically because of insufficient field managers, the excessive amount of documents, complicated work process and difficulty in communicating construction information. Therefore, the field manager could not perform the quality inspection and defect management work in time as well as the reliability of recorded quality and defect data was decreased. The primary objective of this study is to propose a quality inspection and defect management system using information technology which enables field managers to efficiently gather the information of defection in apartment housing. It is anticipated that the effective use of the proposed system would be able to imp개ve communication among the related participants and systematically accumulate data that might be used in similar construction projects.

• The Journal of Bigdata
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• v.4 no.2
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• pp.61-71
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• 2019

Chemical Mechanical Planarization (CMP) process that planarizes semiconductor wafer's surface by polishing is difficult to manage reliably since it is under various chemicals and physical machinery. In CMP process, Material Removal Rate (MRR) is often used for a quality indicator, and it is important to predict MRR in managing CMP process stably. In this study, we introduce prediction models using machine learning techniques of analyzing time-series sensor data collected in CMP process, and the classification models that are used to interpret process quality conditions. In addition, we find meaningful variables affecting process quality and explain process variables' conditions to keep process quality high by analyzing classification result.

• 한국지형공간정보학회:학술대회논문집
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• 2005.08a
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• pp.73-83
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• 2005

This study aims to establish the quality checking factors for the construction process of digital topographic map. Total 17 regulations related to quality of digital topographic map and major aerial survey firms are analyzed in terms of working process, equipments, and accuracy of results. It is standardized the process of making new digital maps using aerial photography, revising existing digital maps, and digitizing paper map. Quality checking factors for the construction process of digital topographic map are also established.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.12
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• pp.549-560
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• 2015

There is a wide variety of data quality attributes such as the ones proposed by the ISO/IEC organization and also by many other domestic and international institutions. However, it takes considerable time and costs to apply those criteria and guidelines to real environment. Therefore, it needs to define data quality evaluation attributes which are easily applicable and are not influenced by organizational environment limitations. The purpose of this paper is to derive data quality attributes and order of their priorities based on customer requirements for managing the process systematically and evaluating the data quantitatively. This study identifies the customer cognitive constructs of data quality attributes using the RGT(Repertory Grid Technique) based on a Korean quality standard model (DQC-M). Also the correlation analysis on the identified constructs is conducted, and the evaluation attributes is prioritized and ranked using the AHP. As the results of this paper, the consistent system, the accurate data, the efficient environment, the flexible management, and the continuous improvement are derived at the first level of the data quality evaluation attributes. Also, Control Compliance(13%), Regulatory Compliance(10%), Requirement Completeness(9.6%), Accuracy(8.4%), and Traceability(6.8%) are ranked on the top 5 of the 19 attributes in the second level.