• 한국IT서비스학회지
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• 제4권2호
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• pp.61-69
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• 2005

RFID is used for tracking systems in various business fields these days and these systems brought considerable efficiencies and cost savings to companies. Real-time based information acquired through RFID devices could be a valuable source of information for making decisions if it is combined with decision support tools like OLAP of a data warehouse that has originally been designed for analyzing static and historical data. As an effort of extending the data source of a data warehouse, RFID is combined with a data warehouse in this research. And OLAP is designed to analyze the dynamic real-time based information gathered through RFID devices. The implemented prototype shows that ubiquitous computing technology such as RFID could be a valuable data source for a data warehouse and is very useful for making decisions when it is combined with online analysis. The system architecture of such system is suggested.

• 한국통신학회논문지
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• 제36권8B호
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• pp.1003-1011
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• 2011

본 논문에서는 우선 센서네트워크를 기반으로 실시간 다중소스 센서데이터 관리시스템을 제안하고 구현하였다. 제안된 관리시스템은 대상시스템의 상태를 효율적으로 감시하고 제어하기 위해서 다수의 센서들로부터 수집된 실시간 데이터를 무선으로 서버로 전송하며, 이를 분석하여 동작하도록 설계되었다. 제안된 시스템은 원격지에서 세포배양장치와 같은 다중 소스 센서들을 클러스터 형태로 구성하고, 이들로부터 발생하는 센서데이터를 제어, 전송하며, 각 소스로부터 수신된 데이터를 소스별로 구분하여 관리가 가능하도록 구현하였다. 제안된 시스템의 성능을 평가하기 위해서 전송거리에 따른 전송 지연시간과 다중소스로부터 발생된 데이터 손실률을 측정하여 분석하였으며, 그 결과 우수한 성능을 보임을 확인하였다.

• 컴퓨터교육학회논문지
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• 제18권4호
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• pp.63-70
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• 2015

프로그램 소스코드는 텍스트를 기반으로 하는 정보이며 동시에 논리 구조를 포함하고 있는 복잡한 구문의 집합체이다. 특히 소스코드의 규모가 수만 라인에 이르는 경우 구조적, 논리적인 복잡함으로 인해 기존의 빅데이터 시각화 기법이 잘 적용되기 힘들다는 문제가 발생한다. 본 논문은 소스코드가 갖는 구조적인 특징을 시각화하는데 있어 필요한 절차를 제안한다. 이를 위해 본 논문은 파싱 과정을 거쳐 생성된 추상구문트리를 대상으로 프로그램의 구조특징을 표현하기 위한 자료형의 정의, 함수간 호출관계를 표현한다. 이들 정보를 바탕으로 제어 정보를 네트워크 형태로 시각화함으로써 모듈의 구조적인 특징을 개괄적으로 살펴볼 수 있는 방법을 제시한다. 본 연구의 결과는 대규모 소프트웨어의 구조적 특징을 이해하거나 변경을 관리하는 효과적인 수단으로 활용할 수 있다.

• 한국IT서비스학회지
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• 제5권3호
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• pp.99-108
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• 2006

Public institutions are considering adoption of open-source software in the process of information projects. However, there doesn't exist reliable information about an adoption process for open-source software. Performance and stability problems of this software also persist, as a result, current open-source software is not widely used. As a software market and industry grows, Benchmark test has been performed more often than before in order to help customers understand and select the most appropriate product among myriad similar ones. It is certain that more objective and trustful data evidence should be obtained by way of utilizing the procedures and methods of Benchmark Test in decision making process for selecting an open-source software. For this research, Benchmark test was applied as a way of demonstrating performance verification of an open-source software in the public institutions. It is certain that more objective and trustful data evidence should be obtained by way of utilizing the procedures and methods of Benchmark Test in decision making process for selecting an open-source software. It also introduces a case study of a information system, which selected and implemented open-source software, in order to confirm the validity of this research. This research will serve as a guideline to adopt open-source software in governments as well as public institutions.

• 지식경영연구
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• 제19권1호
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• pp.119-132
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• 2018

Many advanced products and services are emerging in the market thanks to data-based technologies such as Internet (IoT), Big Data, and AI. The construction of a system for data processing under the IoT network environment is not simple in configuration, and has a lot of restrictions due to a high cost for constructing a high performance server environment. Therefore, in this paper, we will design a development environment for large data analysis computing platform using open source with low cost and practicality. Therefore, this study intends to implement a big data processing system using Raspberry Pi, an ultra-small PC environment, and open source API. This big data processing system includes building a portable server system, building a web server for web mining, developing Python IDE classes for crawling, and developing R Libraries for NLP and visualization. Through this research, we will develop a web environment that can control real-time data collection and analysis of web media in a mobile environment and present it as a curriculum for non-IT specialists.

• 정보기술과데이타베이스저널
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• 제6권1호
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• pp.15-25
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• 1999

We propose an extended relational data model which can represent the reliability of data. In this paper, the reliability of data is defined as the reliability of the source, from which the data originated. We represent the reliability of data at the level of attribute values, instead of tuples, then define the selection, product and join operators.

• 비파괴검사학회지
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• 제25권6호
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• pp.475-482
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• 2005

The iterative calculation by least square method was used to determine the source location of acoustic emission in rock, as so called "traditional method". The results were compared with source coordinates infered from the application of neural network system for new input data, as so called "new method". Input data of the neural network were based on the time differences of longitudinal waves arrived from acoustic emission events at each transducer, the variation of longitudinal velocities at each stress level, and the coordinates of transducer as in the traditional method. The momentum back propagation neural network system adopted to determine source location, which consists of three layers, and has twenty-seven input processing elements. Applicability of the new method were identified, since the results of source location by the application of two methods were similarly concordant.

• 대한전자공학회논문지SP
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• 제46권2호
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• pp.24-29
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• 2009

음원 추정 시스템은 로봇, 화상회의, CCTV(Closed-circuit television) 시스템에 쓰인다. 이러한 음원 추정 시스템은 사람을 대상으로 하며 사람이 말하는 동안 여러 개의 음성 데이터 프레임을 입력받을 수 있다. 본 논문에서는 입력된 음성 데이터 프레임으로부터 정확한 각도를 계산 할 수 있는 음성 데이터 프레임을 선별하여 각도 추정 오차를 줄이는 방법에 대해서 제안한다. 또한 선별된 데이터를 각도로 변환한 후 메디언 필터를 적용하여 음원 추정 시스템의 오차를 줄일 수 있다. 제안된 시스템을 이용하여 실험한 후 각도 추정 오차 평균이 31%감소함을 보인다.

• 한국학교ㆍ지역보건교육학회지
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• 제11권1호
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• pp.67-78
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• 2010

Background & Objectives: Current trend is that funding agencies require investigators to share their data with others. However, there is limited guidance how to access and utilize the shared data. We sought to determine what common data sharing practices in U.S.A. are, what data-related to adolescent health are freely available, and how we deal with the large dataset adopting the complex study design. Methods: The study included only research data-related to adolescent health which was collected in USA and unlimitedly accessible through the internet. Only the raw data, not aggregated, was considered for the study. Major keywords for web search were "adolescent", "children", "health", and "school". Results: Current approaches for public health data sharing lacked of common standards and varied largely due to the data's complex nature, large size, local expertise and internal procedures. Some common data sharing practices are unlimited access, formal screened access, restricted access, and informal exclusive access. The Inter-University Consortium for Political and Social Research and the Center for Disease Control and Prevention were the best data depository. "Data on the net" was search engine for the website providing data freely available. Six datasets related to adolescent health freely available were identified. The importance and methods of incorporating complex research design into analysis was discussed. Conclusion: There have been various attempts to standardize process for open access and open data using the information technology concept. However, it may not be easy for researchers to adapt themselves to this high technology. Therefore, guidance provided by this study may help researchers enhance the accessibility to and the utilization of the open source data.

• Nuclear Engineering and Technology
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• 제54권10호
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• pp.3587-3594
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• 2022

A distributed high-speed data acquisition and monitoring system for the RF negative ion source at Huazhong University of Science and Technology (HUST) is developed, which consists of data acquisition, data forwarding and data processing. Firstly, the data acquisition modules sample physical signals at high speed and upload the sampling data with corresponding absolute-time labels over UDP, which builds the time correlation among different signals. And a special data packet format is proposed for the data upload, which is convenient for packing or parsing a fixed-length packet, especially when the span of the time labels in a packet crosses an absolute second. The data forwarding modules then receive the UDP messages and distribute their data packets to the real-time display module and the data storage modules by PUB/SUB-pattern message queue of ZeroMQ. As for the data storage, a scheme combining the file server and MySQL database is adopted to increase the storage rate and facilitate the data query. The test results show that the loss rate of the data packets is within the range of 0-5% and the storage rate is higher than 20 Mbps, both acceptable for the HUST RF negative ion source.