• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제6권1호
• /
• pp.341-360
• /
• 2012

The network topology for a wide area sensor network has to support connectivity and a prolonged lifetime for the many applications used within it. The concepts of structure and group in sociology are similar to the concept of cluster in wireless sensor networks. The clustering method is one of the preferred ways to produce a topology for reduced electrical energy consumption. We herein propose a cluster topology method based on sociological structures and concepts. The proposed sociological clustering topology (SOCT) is a method that forms a network in two phases. The first phase, which from a sociological perspective is similar to forming a state within a nation, involves using nodes with large transmission capacity to set up the global area for the cluster. The second phase, which is similar to forming a city inside the state, involves using nodes with small transmission capacity to create regional clusters inside the global cluster to provide connectivity within the network. The experimental results show that the proposed method outperforms other methods in terms of energy efficiency and network lifetime.

• 한국수소및신에너지학회논문집
• /
• 제33권5호
• /
• pp.591-597
• /
• 2022

Recently, technologies for efficient power grid operation have become important due to climate change. For this reason, predicting power demand using deep learning is being considered, and it is necessary to understand the influence of characteristics of each region, industrial structure, and climate. This study analyzed the power demand of New Jersey in US, with a high urbanization rate and a large service industry, and West Virginia in US, a low urbanization rate and a large coal, energy, and chemical industries. Using recurrent neural network algorithm, the power demand from January 2020 to August 2022 was learned, and the daily and weekly power demand was predicted. In addition, the power grid operation based on the power demand forecast was discussed. Unlike previous studies that have focused on the deep learning algorithm itself, this study analyzes the regional power demand characteristics and deep learning algorithm application, and power grid operation strategy.

• 전기학회논문지P
• /
• 제67권4호
• /
• pp.200-207
• /
• 2018

In recent, KEPCO (Korea Electric Power Corporation) faced difficulties of the DCC (distribution control center) due to the increase of field equipment and operational cost, and aging of operating staffs. In response to these changes in the DCC, KEPCO is trying to change the organization and system of the DCC. In this paper, we present a new attempt to change organization and structure of distribution control center, which was implemented by KEPCO recently. This paper is divided into three major parts. First, to examine the adequacy of the divided basis of current DCCs based on the quantity of installed electrical equipment, we analyzed the correlation between the operational history of the DCCs and the number of equipment. Through the analysis, we confirmed that there is little relationship between the number of equipment and actual workload. Second, we conducted visits and questionnaire surveys of all the DCCs to identify factors affecting the actual workload of distribution operators and then summarized the results. Third, based on this survey, a general formula for analyzing the workload of a DCC was derived, and each DCC's average annual total workload, day/night workload, and required number of personnel were calculated. Through this study, we proposed a more realistic management method of DCCs that can overcome the division criteria based on equipment quantity.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제12권9호
• /
• pp.4389-4411
• /
• 2018

High dynamic range (HDR) images are becoming pervasive due to capturing or rendering of a wider range of luminance, but their special display equipment is difficult to be popularized because of high cost and technological problem. Thus, HDR images must be adapted to the conventional display devices by applying tone mapping (TM) operation, which puts forward higher requirements for intellectual property protection of HDR images. As the robustness presents regional diversity in the low dynamic range (LDR) watermarked image after TM, which is different from the traditional watermarking technologies, a concept of watermarking activity is defined and used to distinguish the essential distinction of watermarking between LDR image and HDR image in this paper. Then, a novel robust HDR image watermarking algorithm is proposed against TM operations. Firstly, based on the hybrid processing of redundant discrete wavelet transform and singular value decomposition, the watermark is embedded by modifying the structure information of the HDR image. Distinguished from LDR image watermarking, the high embedding strength can cause more obvious distortion in the high brightness regions of HDR image than the low brightness regions. Thus, a perceptual brightness mask with low complexity is designed to improve the imperceptibility further. Experimental results show that the proposed algorithm is robust to the existing TM operations, with taking into account the imperceptibility and embedded capacity, which is superior to the current state-of-art HDR image watermarking algorithms.

• 한국산림과학회지
• /
• 제96권3호
• /
• pp.235-244
• /
• 2007

본 연구는 교토의정서에서 인정하고 있는 조림 CDM을 북한 지역에 적용하였을 때의 경제적 타당성을 분석하였다. 기존의 북한 산림면적 추정에 관한 연구결과를 활용하여 조림 CDM을 적용할 수 있는 잠정 대상 면적을 추정한 결과 북한에는 조림 CDM 사업이 가능한 황폐임지가 약 51만 ha가 존재하는 것으로 추정되었으며, 경제적 타당성 검토 대상지로 선정된 개성지역에는 약 8,000 ha의 CDM조림사업이 기능한 황폐임지가 존재하는 것으로 나타났다. 개성지역의 산림황폐지에 북한의 주요조림수종 가운데 하나인 아까시나무(Robinia pseudoacacia)를 인공조림하고 20년 동안 유지함으로써 기존의 토지이용에 비하여 탄소고정을 증가시키는 사업을 조림 CDM사업으로 설정하였다. 수목의 탄소흡수량을 추정하고 사업을 시행하는데 필요한 산림조성 비용, 사전행정비용, 배출권 관련 행정비용을 포함하는 비용을 분석함으로써 조림 CDM사업의 경제적 효과성을 평가하였다. 개성지역 황폐임지에 아까시나무를 조림하여 20년 동안 유지하는 CDM 사업을 통해서 흡수할 수 있는 이산화 탄소량은 ha당 약 $376\;tCO_2$로 추정되었으며 배출권 판매 시나리오별로 생산할 수 있는 배출권량은 총 사업기간을 통해 tCER이 503 tCER/ha, lCER이 265 lCER/ha로 나타났다. 총 투입된 비용을 기준으로 tCER 한 단위를 생산하는 데 투입된 비용은 US$ 4.04로 나타났고 lCER 한 단위를 생산하는 데는 US$ 7.67로 나타났다. 그러나 tCER과 lCER은 시장 가격이 다를 수 있기 때문에 단순히 배출권량만으로 그 경제적 수익성에 있어서의 우위를 가름하기는 힘들다.