• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 춘계학술대회논문집C
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• pp.140-145
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• 2001

Lasting machines for shoe manufacturing are continuously developed with the aid of automation and Computer Aided Manufacturing (CAM). Adaptive lasting machine and CAD data of a shoe last are inevitably introduced for the labor-free manufacturing process. Recently, method for the CAD datarization of a shoe last is suggested using finite element mesh system. Initial set up data and control data of machine parts are required for the adaptive lasting machine. For the efficient process, grading of those data is essential to minimize data storage and production costs. In this paper, bonding lines are extracted from the CAD data of a shoe last and graded by the geometric grading system. Tension spline method is adopted for the interpolation of last CAD data. The results are compared with the results from the arithmetic grading system that is widely adopted in the shoemaking companies.

• 시스템엔지니어링학술지
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• 제10권1호
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• pp.43-48
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• 2014

The door system for railway vehicles is the critical device directly influences on safety and satisfaction of passengers, Recently, electrical type of passenger door system is widely used for EMU type train instead of pneumatic type of passenger door system. The estimation of MTBF and failure rates for electrical type door system is essential. The manufacturor simply provides intrinsic reliability data for the railway operator. But actual reliability data based on operation and maintenance data is not complying with intrinsic reliability. In this study, operation and failure data associated with electrical door system were analyzed in order to determine actual MTBF and failure data. Intrinsic reliability data and service reliability data were studied to finallize much more practical and reliable actual reliability. Relax 2011 was used to predict intrinsic reliability and 217Plus model was also used to estimate of actual reliability data based on field data. Furthermore, it is necessary to keep studying on reliability prediction methodology and applying it in the field and doing research on improvement of reliability through feedback as well.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권9호
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• pp.3515-3538
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• 2015

Data accuracy can be increased by detecting and removing the incorrect data generated in wireless sensor networks. By increasing the data accuracy, network lifetime can be increased parallel. Network lifetime or operational time is the time during which WSN is able to fulfill its tasks by using microcontroller with on-chip memory radio transceivers, albeit distributed sensor nodes send summary of their data to their cluster heads, which reduce energy consumption gradually. In this paper a powerful algorithm using proactive fuzzy system is proposed and it is a mixture of fuzzy logic with comparative correlation techniques that ensure high data accuracy by detecting incorrect data in distributed wireless sensor networks. This proposed system is implemented in two phases there, the first phase creates input space partitioning by using robust fuzzy c means clustering and the second phase detects incorrect data and removes it completely. Experimental result makes transparent of combined correlated fuzzy system (CCFS) which detects faulty readings with greater accuracy (99.21%) than the existing one (98.33%) along with low false alarm rate.

• Korean Journal of Hydrosciences
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• 제2권
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• pp.99-113
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• 1991

Integrated irrigation management system (IIMS) that is incorporated with a microcomputer-based decision support system (DSS) has been developed and applied to paddy rice irrigation systems management. The system hardwares consist of field data acquisition units, data transmission units, central data processing units, and printing and displaying units. Ridld data to be collected include incremental rainfall, streamflow and reservoir water levels, and water levels at several irrigation canal sections within an irrigation sidtricts. The softwares are to process field data, real-time forecasting, irrigation control data, and decision variables from data-base and simulation model subsystems. And the user-interface subsystems are incorporated to present the water system operators and managers the results from data and model sugsystems. User-friendly menu with animated graphic modules are adopted to help understand irrigation controls for the district. This paper issues the overal descriptions of DSS as applied to Anjuk irrigation district. The details of major model components for the irrigation controls are presented along with real-time data collection systems. The potentials of DSS have been appraised very practical and promising for better irrigation system operation and management.

• 대한조선학회논문집
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• 제33권3호
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• pp.81-93
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• 1996

이 논문에서는 강판의 곡가공과 관련해서 지금까지 수행된 연구의 동향을 검토하였고, 이의 자동화 시스템 구축에 있어서 우선적으로 선행되어야 할 부분으로서 주어진 곡면의 Marking Data를 자동으로 생성하도록 개발한 전산 시스템의 개요와 이를 실제 곡면모델에 적용한 결과를 다루었다. 본 연구에서 소개하는 Marking Data 생성을 위한 전산 시스템을 실제 곡면모델에 적용한 곁과로부터 추정한 곡면이 주어진 곡면에 상당히 접근하는 결과를 보여 주고 있으며 생성된 Marking Data 역시 현재 현장에서 시행하는 것에 부합되는 합리적인 것이였다. 따라서 여기에서 소개한 Marking Data 자동생성을 위한 전산 시스템을 추후 더 많은 곡면모델에의 적용을 통해서 보완한다면 현장에서 충분히 실용적으로 사용할 수 있을 것으로 보여진다.

• 산업경영시스템학회지
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• 제32권4호
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• pp.25-37
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• 2009

This Study constructs a dashboard system to synthetically and systematically monitor national R&D information based on data warehouse. Managing the national R&D statistics and trend is important since it provides data for policies and decision making for national R&D. Many agencies related to national R&D information collect the basic R&D statistic data which provides the basis of logical decision making and R&D policies. The data has not well been used. The data has not been consistently collected nor managed. The raw data has not been organized nor processed to meet various demands. The needs has been arisen for a consistent national R&D monitoring system to increase the relevance, accessibility and efficiency of data for various users. This study selects 25 key indicators based on the user requirements and designs data warehouse for supporting the indicators using star schema. The dashboard system is developed in this study provides the infrastructure of monitoring national R&D information and analytic environment of supporting statistical analysis and time-series data analysis.

• 한국정보처리학회논문지
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• 제6권5호
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• pp.1189-1202
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• 1999

As compared with VOD data, NOD article data has the following characteristics: it is created at any time, has a short life cycle, is selected as not one article but several articles by a user, and has high access locality in time. Because of these intrinsic features, user access patterns of NOD article data are different from those of VOD. Thus, building NOD system using the existing techniques of VOD system leads to poor performance. In this paper, we analysis the log file of a currently running electronic newspaper, show that the popularity distribution of NOD articles is different from Zipf distribution of VOD data, and suggest a new popularity model of NOD article data MS-Zipf(Multi-Selection Zipf) distribution and its approximate solution. Also we present a life cycle model of NOD article data, which shows changes of popularity over time. Using this life cycle model, we develop LLBF (Largest Life-cycle Based Frequency) prefetching algorithm and analysis he performance by simulation. The developed LLBF algorithm supports the similar level in hit-ratio to the other prefetching algorithms such as LRU(Least Recently Used) etc, while decreasing the number of data replacement in article prefetching and reducing the overhead of the prefetching in system performance. Using the accurate user access patterns of NOD article data, we could analysis correctly the performance of NOD server system and develop the efficient policies in the implementation of NOD server system.

• 한국지하수토양환경학회지:지하수토양환경
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• 제28권spc호
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• pp.18-39
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• 2023

Rapid development of geophysical exploration and hydrogeologic monitoring techniques has yielded remarkable increase of datasets related to groundwater systems. Increased number of datasets contribute to understanding of general aquifer characteristics such as groundwater yield and flow, but understanding of complex heterogenous aquifers system is still a challenging task. Recently, applications of data science technique have become popular in the fields of geophysical explorations and monitoring, and such attempts are also extended in the groundwater field. This work reviewed current status and advancement in utilization of data science in groundwater field. The application of data science techniques facilitates effective and realistic analyses of aquifer system, and allows accurate prediction of aquifer system change in response to extreme climate events. Due to such benefits, data science techniques have become an effective tool to establish more sustainable groundwater management systems. It is expected that the techniques will further strengthen the theoretical framework in groundwater management to cope with upcoming challenges and limitations.

• 스마트미디어저널
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• 제4권3호
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• pp.16-23
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• 2015

IT 기술의 발전으로 인해 데이터 처리 시스템은 많은 양의 데이터를 처리 및 가공해야 한다. 하지만, 기존에 사용되던 온디스크(On-Disk) 시스템으로는 급증하는 데이터를 빠르게 처리하는 데 한계점을 가졌다. 이로 인해 많은 분야에서 하드디스크에 데이터를 저장하는 것이 아닌 속도가 빠른 메모리에 데이터를 저장 및 관리하는 인메모리(In-Memory) 시스템이 도입되고 있다. 하지만, 메모리에 데이터를 관리하는 것은 메모리의 특성 중 하나인 휘발성으로 인해 데이터 손실이라는 위험을 갖기 때문에 항상 결함 허용 기법이 뒤따라야 한다. 결함 허용 기법은 인메모리 시스템의 처리 속도를 낮추는 성능 저하 원인이 된다. 따라서 본 논문에서는 인메모리 시스템의 데이터 사용 특성을 고려하여 핫콜드 데이터로 분류하고, 데이터 영속성 보장을 위한 복합 백업 기법을 제안한다. 제안하는 기법은 영속성을 높이고, 성능 저하 원인을 보완한다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 V
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• pp.2685-2688
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• 2003

A PC-based system for both monitoring and controlling SAUV is developed. The developed system is located on a ship and communicate with the SAUV through optical link through which the system sends motion command and receives video data, SSBL and Digital I/O data. The motion command includes velocity data and direction data. The overall system is developed with the intention of easy operation for operator and safe motion of SAUV. The easy operation is realized by GUI-based interface and the safe motion is realized by fault tolerant capability.