• 한국수산과학회지
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• 제55권2호
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• pp.154-170
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• 2022

The zooplankton composition, abundance, community structure, and species diversity in the major commercial fishery species spawning grounds in the southern coast of Korea were investigated in this study. A total of 80 taxa were sampled, with the mean abundance range of 5,612-11,720 ind. m^-3 and the mean biomass range of 41.6-1,086.8 mg m^-3. The dominant species were Paracalanus copepodites, Paracalanus parvus s. l., Oithona copepodites, Paracalanus nauplii, Noctiluca scintillans, Oithona similis, and Ditrichocorycaeus affinis. The species diversity indices were highest in August, suggesting that diversity is influenced by neritic and oceanic warm-water species. A cluster analysis with non-metric multidimensional scaling (nMDS) revealed three groups of zooplankton communities. The April and May samples clustered into Group A, having the highest mean total zooplankton abundance and lowest species diversity, consisting mainly of temperate species located in the middle region of the southern coast of Korea. Cluster Group B was from the early summer season (June) and contained the highest species diversity with some oceanic and neritic zooplankton species. Cluster Group C from the summer season (July and August) mainly comprised P. parvus s. l. and O. similis. The redundancy analysis (RDA) indicated that abundance is positively correlated with salinity, and chlorophyll-a concentrations.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권11호
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• pp.3544-3564
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• 2022

With the development of the NB-IoT (Narrow band Internet of Things) and smart cities, coupled with the emergence of smart smoke sensors, new requirements and issues have been introduced to study on the deployment of sensors in large spaces. Previous research mainly focuses on the optimization of wireless sensors in some monitoring environments, including three-dimensional terrain or underwater space. There are relatively few studies on the optimization deployment problem of smart smoke sensors, and leaving large spaces with obstacles such as libraries out of consideration. This paper mainly studies the deployment issue of smart smoke sensors in large spaces by considering the fire probability of fire areas and the obstacles in a monitoring area. To cope with the problems of coverage blind areas and coverage redundancy when sensors are deployed randomly in large spaces, we proposed an optimized deployment strategy of smart smoke sensors based on the PSO (Particle Swarm Optimization) algorithm. The deployment problem is transformed into a multi-objective optimization problem with many constraints of fire probability and barriers, while minimizing the deployment cost and maximizing the coverage accuracy. In this regard, we describe the structure model in large space and a coverage model firstly, then a mathematical model containing two objective functions is established. Finally, a deployment strategy based on PSO algorithm is designed, and the performance of the deployment strategy is verified by a number of simulation experiments. The obtained experimental and numerical results demonstrates that our proposed strategy can obtain better performance than uniform deployment strategies in terms of all the objectives concerned, further demonstrates the effectiveness of our strategy. Additionally, the strategy we proposed also provides theoretical guidance and a practical basis for fire emergency management and other departments to better deploy smart smoke sensors in a large space.

• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제11권8호
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• pp.259-268
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• 2022

데이터 양의 폭발적 증가에 따른 관리 효율성 제고를 위한 클라우드 서비스 활용이 일상으로 자리잡고 있는 현재, 데이터 프라이버시 보존을 위한 다양한 암호화 기법이 적용되고 있다. 클라우드 시스템의 방대한 컴퓨팅 자원에도 불구하고 다수 사용자로부터 아웃소싱된 데이터의 중복으로 인한 저장 효율성의 저하는 서비스 효율을 현저히 감소시키는 요인으로 작용하면서, 프라이버시가 보장된 암호문에 대한 데이터 중복제거에서의 효율성 향상을 위한 다양한 연구가 진행되고 있다. 본 연구에서는 최신 USENIX ATC에 발표된 Ren et al.의 신뢰실행환경을 활용한 암호문에 대한 중복제거의 효율성 개선을 위한 연구결과를 분석하고 서비스에 참여하는 키 관리 서버를 사용자에 통합함으로써 제3의 독립적인 키 관리 서버의 필요성을 제거하면서도 키 관리의 안정성 개선 방법을 제시한다. 실험을 통하여 제안 기법에서 약 30%의 통신 효율 개선 효과를 얻을 수 있음을 확인하였다.

• 한국수산과학회지
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• 제55권4호
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• pp.461-477
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• 2022

We investigated the community structure and performed detailed characterization of fish larvae assemblages collected from the southern coast of Korea in the spring and summer of 2021. The total abundance of fish larvae varied from 193.6 to 1,915.6 ind. 10 m^-3. The species were distributed across 10 orders with 23 families, and 41 taxa. The dominant taxa were Gobiidae spp., Engraulis japonicus, Nibea albiflora, Sebastiscus spp., Callionymus valenciennei, Pennahia argentata, Sebastes thompsoni, Parablennius yatabei, and Platycephalus indicus. Engraulis japonicus individuals were collected from April to August and their presence contributed greatly to the total abundance of fish larvae. The total number and abundance of species peaked in early summer and the Shannon-Weaver index was in the range 0.11-1.49. Redundancy analyses revealed that the major environmental factors affecting the fish larvae assemblage differed according to the dominant taxa. Water temperature, zooplankton density, and Paracalanus parvus s. l. density were the key factors affecting the spatial and temporal distribution of fish larvae in the southern coast of Korea in spring and summer.

• Journal of Information Science Theory and Practice
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• 제10권spc호
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• pp.56-65
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• 2022

Korea Institute of Science and Technology Information (KISTI) is a Worldwide LHC Computing Grid (WLCG) Tier-1 center mandated to preserve raw data produced from A Large Ion Collider Experiment (ALICE) experiment using the world's largest particle accelerator, the Large Hadron Collider (LHC) at European Organization for Nuclear Research (CERN). Physical medium used widely for long-term data preservation is tape, thanks to its reliability and least price per capacity compared to other media such as optical disk, hard disk, and solid-state disk. However, decreasing numbers of manufacturers for both tape drives and cartridges, and patent disputes among them escalated risk of market. As alternative to tape-based data preservation strategy, we proposed disk-only erasure-coded archival storage system, Custodial Disk Storage (CDS), powered by Exascale Open Storage (EOS), an open-source storage management software developed by CERN. CDS system consists of 18 high density Just-Bunch-Of-Disks (JBOD) enclosures attached to 9 servers through 12 Gbps Serial Attached SCSI (SAS) Host Bus Adapter (HBA) interfaces via multiple paths for redundancy and multiplexing. For data protection, we introduced Reed-Solomon (RS) (16, 4) Erasure Coding (EC) layout, where the number of data and parity blocks are 12 and 4 respectively, which gives the annual data loss probability equivalent to 5×10^-14. In this paper, we discuss CDS system design based on JBOD products, performance limitations, and data protection strategy accommodating EOS EC implementation. We present CDS operations for ALICE experiment and long-term power consumption measurement.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권8호
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• pp.2214-2229
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• 2024

Wireless sensor network (WSN) consists of large number of sensor nodes that are deployed in geographical locations to collect sensed information, process data and communicate it to the control station for further processing. Due the unfriendly environment where the sensors are deployed, there exist many possibilities of malicious nodes which performs malicious activities in the network. Therefore, the security threats affect performance and life time of sensor networks, whereas various security aspects are there to address security issues in WSN namely Cryptography, Trust Management, Intrusion Detection System (IDS) and Intrusion Prevention Systems (IPS). However, IDS detect the malicious activities and produce an alarm. These malicious activities exploit vulnerabilities in the network layer and affect all layers in the network. Existing feature selection methods such as filter-based methods are not considering the redundancy of the selected features and wrapper method has high risk of overfitting the classification of intrusion. Due to overfitting, the classification algorithm fails to detect the intrusion in better manner. The main objective of this paper is to provide the efficient feature selection algorithm which was suitable for any type classification algorithm to detect the intrusion in an effective manner. This paper, the security of the network is addressed by proposing Feature Selection Algorithm using Chi Squared with Ensemble Method (FSChE). The proposed scheme employs the combination of decision tree along with the random forest classification algorithm to form ensemble classifier. The experimental results justify the feasibility of the proposed scheme in terms of attack detection, packet delivery ratio and time analysis by employing NSL KDD cup data Set. The obtained results shows that the proposed ensemble method increases the overall performance by 10% to 25% with respect to mentioned parameters.

• 한국농공학회논문집
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• 제62권5호
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• pp.105-119
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• 2020

Although there have been a lot of efforts to improve water quality in the estuarine reservoir, overall the water quality problems of the estuarine reservoirs remain. So, it is essential to establish water quality management plans under a comprehensive understanding of the environmental characteristics of the estuarine reservoir. Therefore, in this study, a resilience analysis framework for evaluating the estuarine reservoir's water quality was suggested for improving existing assessment method for water quality management plan. First, as a result of analyzing the static resilience to each scenario, it was found that from the S3 scenario in which dredging was conducted considerably, the resilience of about 30% more than the current estuarine reservoir system was restored. Second, as a result of analyzing the dynamic resilience, if cost and time are considered, there is no significant difference in robustness and resourcefulness, so it can be seen that the resilience of the estuarine reservoir can be efficiently improved by simply performing dredging up to the level of Scenario 3. Finally, as a result of comparing static and dynamic resilience, since static resilience is only presented as a single value, the differences and characteristics of the resilience capacity of the estuarine reservoir might be overlooked only by the static resilience analysis. However, in the aspect that it is possible to interpret the internal recovery capacity of the estuarine reservoir in multiple ways with various indicators (robustness, redundancy, resourcefulness, rapidity), evaluating water quality based on dynamic resilience analysis is useful.

• 한국수자원학회논문집
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• 제46권4호
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• pp.345-359
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• 2013

TMDL에서 효율적이고 체계적인 수질관리를 위하여 하천 네트워크 공간자료 구축 및 이를 이용한 GIS기반의 수질모델링, 자료관리, 공간분석 등이 요구된다. 본 연구에서는 국내 하천 네트워크에 관한 프레임워크 데이터로서 TMDL 실무에서 다양한 활용이 가능하도록 KRF (Korean Reach File) 설계안을 개선하여 제시하는 것을 목표로 하였다. 이를 위해 우선 미국 EPA RF(River Reach File) 사례를 검토하였고, EPA RF 설계 내역을 참고하여 개선된 KRF의 도형 및 속성 설계안을 제시하였다. 결과 검증을 위해 한강수계를 대상으로 KRF를 시범 구축하였으며, 총2,047개의 stream reach 분할이 가능하였고, 총 2,048개 지점에 대한 노드 생성이 가능하였다. 각 공간객체에 대한 고유식별자가 중복 없이 입력됨이 확인되었고, 이를 통해 유관 DB와의 자료연계에도 KRF가 활용될 수 있을 것으로 판단되었다. 또한 KRF에 위상정보가 강화되어 입력됨에 따라 향후 다양한 네트워크 분석에도 활용이 가능할 것으로 판단되었다. 향후에는 KRF를 이용한 수질모델링 및 자료관리, 공간분석 등 다양한 TMDL 실무 활용에 대한 연구가 필요하다.

• 대한전자공학회논문지TC
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• 제43권7호
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• pp.50-59
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• 2006

서비스 사업자와 통신 제조업체에 의해 선도되는 새로운 통신 패러다임은 무선 이동 통신망을 AII-IP(Internet Protocol) 망으로 빠르게 전환하도록 하고 있다. 이러한 패러다임에서 이기종망간 IP의 개방 접근성으로 인해, 가입자에 대한 인증과 세션 키를 제공하는 것이 중요한 연구 과제들 중의 하나가 되었다. 본 논문에서는 이기종 무선 이동망들의 인증 처리 절차를 소개하고, 모든 이동 망간 연동을 안전하게 지원하면서, 기존 망에 대한 인증 호환성(Backward Compatibility)을 제공하는 통합 이동 인증 서버(IMAS; Integrated Mobile Authentication Server)를 제안한다. 특별히, IMAS의 디자인에 있어서 무선 인증 상호 연동 기법, 키 관리 기법 및 극복되어야 할 쟁점 사항들을 제시한다. 세션 키를 생성하는 인증 알고리즘의 성능 결과를 분석하고 평가한다. 또한, IMAS의 실험 환경을 구축하여 성능(TPS; Transaction Per Second) 결과를 분석하며 평가한다. IMAS는 기존망의 기능과 효율에 대한 보상없이 이기종 무선 이동망 간 연동이 가능하도록 하였고, 분산된 DB(Data Base) 통합으로 인해 망간 데이터 중복성과 불일치성을 줄였다.

• Journal of Advanced Marine Engineering and Technology
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• 제38권9호
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• pp.1070-1074
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• 2014

IEEE 1662(2009)에 따르면 통합 전력 시스템(이하 IPS)은 함정의 모든 동력기관(Prime mover)이 전력만을 생산하고 생산된 전력을 통합하여 추진과 무기체계, 함정 내 소요처에 공급하는 체계를 말한다. IPS의 특징은 원동기 배치의 유연성, 원동기와 추진기의 기계적인 분리, 에너지전환 및 전달의 여유 증가 그리고 미래 전자무기의 사용을 위하여 재분배가 가능한 전력의 유연성들이다. IPS는 동력기관이 최적부하에서 운전될 수 있도록 전력생산단계를 다양하게 가질 수 있다. 본 연구는 IPS의 원동기 구성 방식에 따른 적합성을 정량적으로 평가할 수 있는 평가 인자와 평가 방법에 대한 연구이다. 즉, 구축함급 함정에 발전용 디젤 기관과 발전용 가스터빈 기관으로 구성되는 IPS를 운용할 경우를 가상하여, IPS 동력 시스템의 다양한 구성 방법들의 특징을 비교 분석하여 평가함으로써 IPS를 최적화할 수 있는 방안에 관하여 연구하였다. 평가 인자는 동력 시스템의 최적화 대상인 전투 능력과 경제성 두 요소를 고려하여 검토하였다.