• Journal of Multimedia Information System
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• 제4권4호
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• pp.263-270
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• 2017

Various security threats exist in the smart grid environment due to the fact that information and communication technology are grafted onto an existing power grid. In particular, smart metering data exposes a variety of information such as users' life patterns and devices in use, and thereby serious infringement on personal information may occur. Therefore, we are in a situation where a de-identification algorithm suitable for metering data is required. Hence, this paper proposes a new de-identification method for metering data. The proposed method processes time information and numerical information as de-identification data, respectively, so that pattern information cannot be analyzed by the data. In addition, such a method has an advantage that a query such as a direct range search and aggregation processing in a database can be performed even in a de-identified state for statistical processing and availability.

• Journal of Communications and Networks
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• 제14권6호
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• pp.640-652
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• 2012

Many studies have investigated the smart grid architecture and communication models in the past few years. However, the communication model and architecture for a smart grid still remain unclear. Today's electric power distribution is very complex and maladapted because of the lack of efficient and cost-effective energy generation, distribution, and consumption management systems. A wireless smart grid communication system can play an important role in achieving these goals. In this paper, we describe a smart grid communication architecture in which we merge customers and distributors into a single domain. In the proposed architecture, all the home area networks, neighborhood area networks, and local electrical equipment form a local wireless mesh network (LWMN). Each device or meter can act as a source, router, or relay. The data generated in any node (device/meter) reaches the data collector via other nodes. The data collector transmits this data via the access point of a wide area network (WAN). Finally, data is transferred to the service provider or to the control center of the smart grid. We propose a wireless cooperative communication model for the LWMN.We deploy a limited number of smart relays to improve the performance of the network. A novel relay selection mechanism is also proposed to reduce the relay selection overhead. Simulation results show that our cooperative smart grid (coopSG) communication model improves the end-to-end packet delivery latency, throughput, and energy efficiency over both the Wang et al. and Niyato et al. models.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2017년도 제55차 동계학술대회논문집 25권1호
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• pp.75-78
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• 2017

This paper compares operational and network analysis of centralized and distributed repository for big data solutions in the IoT enabled Smart Grid environment. The comparative analysis clearly depicts that centralize repository consumes less memory consumption while distributed locality-based repository reduce network complexity issues than centralize repository in state-of-the-art Big Data Solution.

• 한국측량학회지
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• 제15권2호
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• pp.207-213
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• 1997

본 연구는 저밀도 임의지점의 지형정보를 이용하여 수치지형도를 제작하는데 있어 시간적, 경제적 측면을 포함하는 효율성과 정밀도 측면에서 각각의 수치지형도 제작기법을 비교 분석하여 향후 지형정보시스템의 구축에 있어서 저밀도의 제한된 지형정보를 이용하여 지형분석과 같은 많은 응용분야에 유용하게 이용될 수 있는 3차원 지형모델링의 효율적 기법을 제시하는 연구로써 다음과 같은 결론을 얻었다. 수치지형도를 제작함에 있어 A, B지역 모두 저밀도 임의지점의 지형정보를 이용하여 TIN기반의 지형모델링 기법으로 수치지형도를 제작하는 기법이 가장 신속하면서도 양호한 결과를 가져왔으며 TIN과 GRID기반의 지형모델링 기법으로 제작한 수치지형도를 시각적으로 분석한 결과 A, B지역모두 거의 홉사한 결과를 가져왔으나 DXF 파일로 저장한 데이터의 크기는 TIN기반의 지형모델링 기법이 GRID기반보다 상대적으로 적은 저장용량을 차지하는 것으로 나타났다. 또한 Grid기반의 지형모델링 기법에 의해 제작한 수치지형도에 있어서 저밀도 임의지점의 원형 데이터와 Gridding방법에 의해 보간된 데이터의 표준편차는 A, B지역 모두 Radial basis function 보간기법이 가장 정밀한 보간 결과를 제시하였다.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2003년도 봄 학술발표논문집 Vol.30 No.1 (C)
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• pp.10-12
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• 2003

GridFTP는 광대역의 WAN 상에 최적화된 고성능의 안전하고 신뢰할 수 있는 데이터 전송 프로토콜이다. 본 논문에서는 다음과 같은 세가지 측면에서 GridFTP의 성능 향상을 도모하였다. 1) GridFTP 서버 측에서는 성능 향상을 위해 커먼드 파이프라이닝 기법을 제시하고, 2) GridFTP 클라이언트 측에서는 데이터 채널 재사용 기법을 제안하며. 3) GridFTP 프로토콜은 third-party maltitransfer 메커니즘을 지원하기 위하여 수정이 이루어겼다. 이러한 성능 향상 기법을 통하여 그리드 상에서 대규모 데이터의 효율적인 전송이 가능할 것으로 판단된다.

• 한국생물물리학회:학술대회논문집
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• 한국생물물리학회 2003년도 정기총회 및 학술발표회
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• pp.65-65
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• 2003

After many genome projects, algorithms and software to process explosively growing biological information have been developed. To process huge amount of biological information, high performance computing equipments are essential. If we use the remote resources such as computing power, storages etc., through a Grid to share the resources in the Internet environment, we will be able to obtain great efficiency to process data at a low cost. Here we present the performance improvement of the protein secondary structure prediction (PSIPred) by using the Grid platform, distributing protein sequence data on the Grid where each computer node analyzes its own part of protein sequence data to speed up the structure prediction. On the Grid, genome scale secondary structure prediction for Mycoplasma genitalium, Escherichia coli, Helicobacter pylori, Saccharomyces cerevisiae and Caenorhabditis slogans were performed and analyzed by a statistical way to show the protein structural deviation and comparison between the genomes. Experimental results show that the Grid is a viable platform to speed up the protein structure prediction and from the predicted structures.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2008년도 추계학술발표대회
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• pp.1103-1106
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• 2008

Data Grid is a kind of Grid computing provides the cooperative environment through the distributed data sharing, and can manage the massive data easily and efficiently. We designed and implemented Globus Toolkit4 (GT4) based database access and integration service (GDAIS). This service was implemented as Grid service for run on the GT4 which is Grid middleware. And it provides functions which are automatic registration of database in virtual organization, distributed query service, and the unified user interface. Also this system can use components which are provided from GT4. Therefore it can improve the efficiency to distribute and manage databases, can easily access and integrate of the distributed heterogeneous data in Grid environments.

• 인터넷정보학회논문지
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• 제9권4호
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• pp.143-156
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• 2008

그리드 기반의 PACS는 원격의 PACS 간 의료 이미지 데이터 전송 및 협업, 원격진단, 가상병원과 같은 향상된 의료정보서비스 제공을 가능하게 한다. 본 논문에서는 Grid-PACS를 구현하여 지금까지 PACS에서 요구되어 왔던 스토리지의 안전성과 확장성을 보장하기 위한 가상 대용량 스토리지를 구현하였다. 대용량의 작업처리가 가능한 그리드 기반 서비스 시스템은 기존의 PACS에서 제공하는 파일 전송 방식보다 안정되고 전송 시간 측면에서 향상된 성능을 보였다. 본 연구 결과는 병원간 PACS 데이터 관리 및 전송에 있어서 효율성을 제고할 수 있는 분야에 적용 가능하다.

• Nuclear Engineering and Technology
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• 제45권7호
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• pp.895-910
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• 2013

The reflood test data from the rod bundle heat transfer (RBHT) test facility showed that the grids in the upper portion of the rod bundle could become wet well before the arrival of the quench front and that the sizes of liquid droplets downstream of a wet grid could not be predicted by the droplet breakup models for a dry grid. To investigate the water droplet generation from a wet grid spacer, a viscous linear temporal instability model of the water sheet issuing from the trailing edge of the grid with the surrounding steam up-flow is developed in this study. The Orr-Sommerfeld equations along with appropriate boundary conditions for the flow are solved using Chebyshev series expansions and the Tau-Galerkin projection method. The effects of several physical parameters on the water sheet oscillation are studied by determining the variation of the temporal growth rate with the wavenumber. It is found that a larger relative steam velocity to water velocity has a tendency to destabilize the water sheet with increased dynamic pressure. On the other hand, a larger ratio of steam boundary layer to the half water sheet thickness has a stabilizing effect on the water sheet oscillation. Droplet diameters downstream of the spacer grid predicted by the present model are found to compare reasonably well with the data obtained at the RBHT test facility as well as with other data recently reported in the literature.

• 품질경영학회지
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• 제49권2호
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• pp.201-211
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• 2021

Purpose: This paper proposes a density adaptive grid algorithm for the k-NN regression model to reduce the computation time for large datasets without significant prediction accuracy loss. Methods: The proposed method utilizes the concept of the grid with centroid to reduce the number of reference data points so that the required computation time is much reduced. Since the grid generation process in this paper is based on quantiles of original variables, the proposed method can fully reflect the density information of the original reference data set. Results: Using five real-life datasets, the proposed k-NN regression model is compared with the original k-NN regression model. The results show that the proposed density adaptive grid-based k-NN regression model is superior to the original k-NN regression in terms of data reduction ratio and time efficiency ratio, and provides a similar prediction error if the appropriate number of grids is selected. Conclusion: The proposed density adaptive grid algorithm for the k-NN regression model is a simple and effective model which can help avoid a large loss of prediction accuracy with faster execution speed and fewer memory requirements during the testing phase.