• 현장농수산연구지
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• 제26권2호
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• pp.14-24
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• 2024

To enhance the usability of smart agriculture, methods for utilizing smart farm data are required. Therefore, this study proposes a scheme for utilizing regional smart farm data by linking it to services. The current status of domestic and foreign smart farm data collection and linkage services is analyzed. To collect and link regional smart farm data, necessary data collection, data cleaning, data storage structure and schema, and data storage and linkage systems are proposed. Based on the standards currently being implemented for regional smart farm internal data storage, a farm schema, environmental information schema, facility control information schema, and growth information schema are designed by extending the crop schema and crop main environmental factor information database schema. A data collection and management system structure based on the Hadoop Ecosystem is designed for data collection and management at regional smart farm data centers. Strategies are proposed for utilizing regional smart farm data to provide smart farm productivity improvement and revenue optimization services, image-based crop analysis services, and virtual reality-based smart farm simulation services.

• 정보보호학회논문지
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• 제28권4호
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• pp.869-878
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• 2018

사이버 공간 내 디지털 증거 데이터는 수정 및 삭제되기 쉬우며 실시간으로 변경사항이 반영되므로 사건 발생 시점 이후 증거 데이터의 빠른 획득이 필요하다. 클라이언트 측에서의 증거 수집은 별도의 행정절차로 인한 시간 지연 없이 데이터를 획득할 수 있다는 장점이 있지만, 대용량 데이터의 수집에 있어서는 마찬가지로 수집 시간 지연 문제에 취약하다. 따라서 본 논문에서는 사이버 공간 내 주요 웹 기반 서비스를 중심으로, 클라이언트 측면에서의 자동화 된 증거 수집 방식을 제안하여 대용량 데이터에 대한 효율적인 증거 수집이 가능하도록 한다. 나아가 제안한 방식을 사용하고 수집한 디지털 증거의 법정제출시점까지의 무결성을 보장하는 사이버 공간 내 디지털 증거 수집 시스템을 제안한다.

• 문화기술의 융합
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• 제10권1호
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• pp.453-458
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• 2024

전 세계적으로 기후 위기와 에너지 비용 증가 등의 문제로 인해 에너지 절감과 관리에 대한 관심이 증대되고 있다. 대한민국의 경우 전체 에너지 사용량의 약 53.5%가 산업 단지에서 사용하여 이와 관련한 에너지 절감 포인트를 찾고자 유사한 에너지 유틸리티를 사용하는 기업 간의 "공유 네트워크 유틸리티 플랜트"를 통해 문제점을 개선하고자 하였다. 이러한 에너지 절감을 위해서 활용하는 다양한 기법들과 공장의 안정적인 운영을 위해서는 데이터의 안정적 수급이 그 무엇보다 중요하다. 그를 위해 데이터를 안정적으로 수급할 수 있는지에 대해 알아볼 수 있는 이상 데이터 감지 시스템과 알림 시스템의 대다수는 에너지 관리 시스템에 종속되어 한계가 있었고 에너지 관리 시스템의 구축은 대단위 시스템의 구축으로 공간, 에너지적 한계가 있는 소형 공장에서 구축이 어려웠다. 본 논문에서는 문제점들을 극복하고자 적은 공간과 전력을 소비하는 임베디드 디바이스에 데이터 수집 시스템과 이상 데이터 감지 알림 시스템를 구축하고, 데이터 수집을 하는 보편적인 기관에서 이상 데이터 감지 알림 시스템의 활용 가능성과 구축 과정에 대한 연구를 수행하였다.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.696-697
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• 2015

Cost, schedule, and quality are the three major performance indicators for any construction project. Under the globalized competition in the nuclear industry, researchers and practitioners have also explored a systemized and integrated management system for cost, schedule, and quality. In order to address this issue, the concept of earned value management system (EVMS) has been often utilized. However, implementing EVMS for a mega-project of nuclear power plant (NPP) construction requires extensive overhead efforts. Though previous studies proposed structures and methods for effective NPP EVMS, there has been no legitimate study for data collection strategy for practical implementation. In this context, the purpose of this paper is to develop an effective data collection strategy for NPP EVMS. Firstly, the barriers to practical NPP EVMS were identified based on literature review and expert interviews. Strategies for data collection were then developed based on different phases of project life cycle. This study focuses on the 'life-cycle integrated progress management system' for NPP construction from an owner's perspective Therefore, results of this study can be used as a guide for preparing request for proposals (RFP) of an NPP owner organization.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제14권2호
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• pp.241-245
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• 2008

비휘발성 속성을 가지면서 램의 특성을 동시에 제공하는 비휘발성 램의 효과적인 활용을 목적으로, 모든 메타데이타를 비휘발성 램에서 관리하고 파일데이타만 낸드플래시에서 관리하는 MiNV(Metadata in NVram) 파일시스템이 이미 제안된 바 있다. 본 연구에서는 MiNV 파일시스템에서 가비지 컬렉션 수행에 대한 효율성을 실험적으로 분석하고, 가비지 컬렉션의 효율성이 전체 파일시스템 성능에 미치는 영향에 대해서 살펴본다. MiNV 파일시스템은 동일한 가비지 컬렉션 기법을 적용하더라도 YAFFS보다 더 효율적으로 가비지 컬렉션을 수행한다. 성능 평가 결과에서 MiNV 파일시스템은 전체 낸드플래시에서 가용한 블록의 개수가 부족할 때 발생하는 공격적인 가비지 컬렉션의 발생 빈도를 줄임과 동시에 공격적인 가비지 컬렉션 수행 시점을 늦춤을 확인하였다. 이와 더불어, 실험 결과는 이러한 가비지 컬렉션에 대한 효율성이 파일시스템의 성능향상에 기여함을 보여준다.

• 한국컴퓨터정보학회논문지
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• 제22권12호
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• pp.101-108
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• 2017

The study proposed a system that filters the data that is entered when analyzing big data such as SNS and BLOG. Personal information includes impersonal personal information, but there is also personal information that distinguishes it from personal information, such as religious institution, personal feelings, thoughts, or beliefs. Define these personally identifiable information as sensitive information. In order to prevent this, Article 23 of the Privacy Act has clauses on the collection and utilization of the information. The proposed system structure is divided into two stages, including Big Data Processing Processes and Sensitive Information Filtering Processes, and Big Data processing is analyzed and applied in Big Data collection in four stages. Big Data Processing Processes include data collection and storage, vocabulary analysis and parsing and semantics. Sensitive Information Filtering Processes includes sensitive information questionnaires, establishing sensitive information DB, qualifying information, filtering sensitive information, and reliability analysis. As a result, the number of Big Data performed in the experiment was carried out at 84.13%, until 7553 of 8978 was produced to create the Ontology Generation. There is considerable significan ce to the point that Performing a sensitive information cut phase was carried out by 98%.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.385-392
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• 2022

As energy-saving techniques based on human behavior patterns have recently become an issue, the occupant-centered control system is adopted for estimating personal preference of indoor environment and optimizing environmental comfort and energy consumption. Accordingly, IoT devices have been used to collect indoor environmental quality (IEQ) data and personal data. However, the need to safely collect and manage data has been emerged due to cybersecurity issues. Therefore, this paper aims to present a framework that can safely transmit occupant-centered data collected from IoT to a private blockchain server using Hyperledger fabric. In the case study, the minimum value product of the mobile application and smartwatch application was developed to evaluate the usability of the proposed blockchain-based occupant-centered data collection framework. The results showed that the proposed framework could collect data safely and hassle-free in the daily life of occupants. In addition, the performance of the blockchain server was evaluated in terms of latency and throughput when ten people in a single office participated in the proposed data collection framework. Future works will further apply the proposed data collection framework to the building management system to automatically collect occupant data and be used in the HVAC system to reduce building energy consumption without security issues.

• 한국멀티미디어학회논문지
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• 제23권10호
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• pp.1286-1295
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• 2020

It has been increasingly difficult to predict the amounts of Acer mono sap to be collected due to droughts and cold waves caused by recent climate changes with few studies conducted on the prediction of its collection volume. This study thus set out to propose a Big Data prediction system based on meteorological information for the collection of Acer mono sap. The proposed system would analyze collected data and provide managers with a statistical chart of prediction values regarding climate factors to affect the amounts of Acer mono sap to be collected, thus enabling efficient work. It was designed based on Hadoop for data collection, treatment and analysis. The study also analyzed and proposed an optimal prediction model for climate conditions to influence the volume of Acer mono sap to be collected by applying a multiple regression analysis model based on Hadoop and Mahout.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2009년도 춘계학술발표대회
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• pp.846-848
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• 2009

The interest in the access and integration of distributed massive data resources has increased recently. This paper presents the Advanced Collection Manager(CM) service with OGSA-DAI component which can access and integrate the distributed data resources. The Advanced CM service supports the data resource of various types. And it can provide the query, updating, transforming and delivering data via cooperating with other services in Grid Information Retrieval(Grid-IR or GIR) System. As a result, it can access and manage the data resource more flexible and efficient.

• 한국유체기계학회 논문집
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• 제13권3호
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• pp.54-58
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• 2010

The pneumatic waste collection system, which is a complete solution for solving the waste collection problems, are constructed in many countries all over the world. However, research data for piping network design are insufficient. In this paper the pressure losses of the straight and curved pipes, pipe junctions are obtained using the numerical method in order to investigate the optimal pipe network design for the waste collection system. As an experimental result, the length of 1.8 meter is the reasonable for the radius of curvature of a curved pipe and the angle of 30 degree is suitable for confluent pipe.