• 한국측량학회지
• /
• 제28권1호
• /
• pp.13-20
• /
• 2010

현재 GPS 자료처리에 사용되고 있는 소프트웨어들은 사용자의 숙련도에 따라 그 성과가 다르게 나타난다. 또한 전문가가 아닌 일반사용자가 GPS 자료처리 소프트웨어를 정상적으로 사용하는 데에는 많은 시간과 노력이 필요하다. 반면 온라인 GPS 자료처리 서비스의 경우 기술적인 노력과 시간이 필요 없이 인터넷만 연결이 되어 있다면 손쉽게 자료처리를 수행할 수 있다는 장점이 있다. 본 연구에서는 온라인 GPS 자료처리 서비스를 이용하여 국토지리정보원의 GPS 상시관측소 관측자료를 처리하고 이틀 국토지리정보원의 상시관측소 고시성과와 비교하여 위치정확도를 분석하여 온라인 GPS 자료처리 서비스를 이용한 위치결정의 활용성을 평가 하였다.

• 한국CDE학회논문집
• /
• 제19권4호
• /
• pp.434-442
• /
• 2014

Most manufacturing enterprises create CAD data as a result of the product/part design process; however, the CAD data is being utilized only for production activities. Besides the processes directly related to manufacturing such as design and production, the CAD data is an important resource that can be used in variety of services (e.g., catalog production and production manuals) for manufacturing enterprises. This study proposes a software platform that can support a wide range of services for manufacturing companies in an efficient and productive way. The software platform was designed based on the functions identified by requirement analysis. The platform consists of four layers: data model layer to manage relevant data; library layer and common function layer to configure services; and application layer to install and run the software. Finally, this study evaluates the validity of the proposed platform architecture by applying it to the digital catalog system.

• 한국산학기술학회논문지
• /
• 제8권5호
• /
• pp.1082-1086
• /
• 2007

본 연구는 국내에서 발생되는 소각재를 재활용하여 벽돌 생산을 하는 공장에서의 이원화된 작업현황을 일원화 할 수 있는 데이터 모니터링 시스템 구축을 목적으로 한다. 모니터링 시스템은 상태관리 프로세스, 위치관리 프로세스, 불량관리 프로세스, 상황관리 프로세스 등의 데이터 관리 프로세스를 이용해 데이터를 자동 관리하도록 설계하였다. 본 연구에서는 RFID 태그를 이용하여 각 공정의 상황 정보를 수집하고 수집된 정보를 가공하여 데이터 모니터링 시스템에 전송한다. 이러한 시스템을 통해 분석된 데이터는 소각재를 재활용하여 벽돌 생산을 하는 공장에서 공정자동화, 불량률 최소화, 실시간 모니터링, 적재 관리를 통해 생산 공정을 효율적으로 관리할 수 있다.

• Journal of the Korean Data and Information Science Society
• /
• 제13권2호
• /
• pp.285-294
• /
• 2002

The control chart is widely used tool for monitoring of the process. This paper deals with an interpretation of the process capability index(PCI) and process performance index(PPI) when the control chart is used for monitoring of the process. The main difference between the PCI and PPI is how we did estimate the process deviation. The PCI uses the within process variation and the PPI uses the total process variation, which is conceptually defined as sum of between process variation and within process variation. Easy interpretations of the PCI and PPI for field engineers are described. And some new approaches to interpretation of the process capability and performance index may be useful in early stabilization of new process.

• 상하수도학회지
• /
• 제29권3호
• /
• pp.427-436
• /
• 2015

Developing two process models to simulate wastewater treatment process is needed to draw a comparison between measured BOD data and estimated process model data: a mathematical model based on the process mass-balance and an ANN (artificial neural network) model. Those two types of simulator can fit well in terms of effluent BOD data, which models are formulated based on the distinctive five parameters: influent flow rate, effluent flow rate, influent BOD concentration, biomass concentration, and returned sludge percentage. The structuralized mass-balance model and ANN modeI with seasonal periods can estimate data set more precisely, and changing optimization algorithm for the penalty could be a useful option to tune up the process behavior estimations. An complex model such as ANN model coupled with mass-balance equation will be required to simulate process dynamics more accurately.

• 대한공간정보학회지
• /
• 제14권3호
• /
• pp.63-70
• /
• 2006

본 연구의 목적은 웹기반의 공간데이터 구축공정 관리시스템을 개발하는데 있다. 이를 위하여 기본측량 공종을 표준화하고, 품질관리 요소를 정립하였다. 기본측량인 GPS에 의한 기준점 측량, 수준측량, 창공사진촬영, 수치지도제작, 지형도 제작, 수차표고자료 제작, 항공사진 DB 구축, 정사영상지도 제작 공정 및 공종분류체계를 표준화하였다. 또한 기본측량 사업별 성과품 및 품질검사 업무 현황과 성과품 유형별 품질검사 요소 및 데이터 포맷을 분석하였으며, 이를 기반으로 데이터베이스 및 프로세스 설계 단계를 거쳐 공정관리, 품질관리, 메타데이터 관리, 시스템관리로 구성된 웹 기반의 공정관리 시스템을 개발하였다.

• 산업공학
• /
• 제18권2호
• /
• pp.148-157
• /
• 2005

The manufacturing industry with Make-to-Order production system is difficult to decide the standard information for the product and the demand is variable to estimate. In this paper, we concerned with the process planning method using data mining in the manufacturing industry with Make-to-Order environment. The subject of our study is the industry transformer plant which is received an diverse order of customer and then produced the product. Currently, process planning method is classified the standard information by hand based on the acquired knowledge through the experience. The standard information stored the various information, such as work sequence, time and so on. This process planning method needs an experts which possesses the field experience for several years. For the product specification which is varied in each order, current process planning method is not efficient due to need many times To solve this problem, we extract the information using data mining process for each processing time, and then construct the knowledge base. We propose a method which is the process planning of the industry transformer product in Make-to-Order environment using the knowledge base.

• Communications for Statistical Applications and Methods
• /
• 제12권2호
• /
• pp.509-520
• /
• 2005

Data fusion is defined as the process of combining data and information from different sources for the effectiveness of the usage of useful information contents. In this paper, we propose a data fusion algorithm using k-means clustering method for data enrichment to improve data quality in knowledge discovery in database(KDD) process. An empirical study was conducted to compare the proposed data fusion technique with the existing techniques and shows that the newly proposed clustering data fusion technique has low MSE in continuous fusion variables.

• 한국컴퓨터정보학회논문지
• /
• 제23권11호
• /
• pp.103-109
• /
• 2018

This paper presents an idea and framework to automate a full cycle business process management and re-engineering by integrating traditional business process management systems, process mining, data mining, machine learning, and simulation. We build our framework on the cloud-based platform such that various data sources can be incorporated. We design our systems to be extensible so that not only beneficial for practitioners of BPM, but also for researchers. Our framework can be used as a test bed for researchers without the complication of system integration. The automation of redesigning phase and selecting a baseline process model for deployment are the two main contributions of this study. In the redesigning phase, we deal with both the analysis of the existing process model and what-if analysis on how to improve the process at the same time, Additionally, improving a business process can be applied in a case by case basis that needs a lot of trial and error and huge data. In selecting the baseline process model, we need to compare many probable routes of business execution and calculate the most efficient one in respect to production cost and execution time. We also discuss the challenges and limitation of the framework, including the systems adoptability, technical difficulties and human factors.

• 한국CDE학회논문집
• /
• 제5권1호
• /
• pp.23-32
• /
• 2000

In this paper, we present a Web-enabled product data sharing system for the support of RPD (Rapid Product Development) process by incorporating STEP (STandard for the Exchange of Product model data) with Web technology such as VRML (Virtual Reality Markup Language), SGML (Structured Generalized Markup Language) and Java. Extreme competition makes product life cycle short by incessantly deprecating current products with a brand-new one, and thus urges enterprises to devise a new product faster than ever. In this environment, an RPD process with effective product data sharing system is essential to outstrip competitors by speeding up the development process. However, the diversity of product data schema and heterogeneous systems make it difficult to exchange the product data. We chose STEP as a neutral product data schema and Web as an independent exchange environment to overcome these problems. While implementing our system, we focused on the support of STEP AP 203 UoF (Units of Functionality) views to efficiently employ STEP data models that are maximally normalized, and therefore very cumbersome to handle. Our functionality-oriented UoF view approach can increase users'appreciation since it facilitates the modular usage of STEP data models. This can also enhance the accuracy of product data. We demonstrate that our view approach is applicable to the configuration control of mechanical assemblies.