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Probabilistic Modeling of Fish Growth in Smart Aquaculture Systems
( Jongwon Kim ),( Eunbi Park ),( Sungyoon Cho ),( Kiwon Kwon ),( Young Myoung Ko ) 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.8
We propose a probabilistic fish growth model for smart aquaculture systems equipped with IoT sensors that monitor the ecological environment. As IoT sensors permeate into smart aquaculture systems, environmental data such as oxygen level and temperature are collected frequently and automatically. However, there still exists data on fish weight, tank allocation, and other factors that are collected less frequently and manually by human workers due to technological limitations. Unlike sensor data, human-collected data are hard to obtain and are prone to poor quality due to missing data and reading errors. In a situation where different types of data are mixed, it becomes challenging to develop an effective fish growth model. This study explores the unique characteristics of such a combined environmental and weight dataset. To address these characteristics, we develop a preprocessing method and a probabilistic fish growth model using mixed data sampling (MIDAS) and overlapping mixtures of Gaussian processes (OMGP). We modify the OMGP to be applicable to prediction by setting a proper prior distribution that utilizes the characteristic that the ratio of fish groups does not significantly change as they grow. We conduct a numerical study using the eel dataset collected from a real smart aquaculture system, which reveals the promising performance of our model.
Software-Based Selective Validation Techniques for Robust CGRAs Against Soft Errors
Ko, Yohan,Kang, Jihoon,Lee, Jongwon,Kim, Yongjoo,Kim, Joonhyun,So, Hwisoo,Lee, Kyoungwoo,Paek, Yunheung Association for Computing Machinery 2016 ACM transactions on embedded computing systems Vol.15 No.1
<P>Coarse-Grained Reconfigurable Architectures (CGRAs) are drawing significant attention since they promise both performances with parallelism and flexibility with reconfiguration. Soft errors (or transient faults) are becoming a serious design concern in embedded systems including CGRAs since the soft error rate is increasing exponentially as technology is scaling. A recently proposed software-based technique with TMR (Triple Modular Redundancy) implemented on CGRAs incurs extreme overheads in terms of runtime and energy consumption mainly due to expensive voting mechanisms for the outputs from the triplication of every operation. In this article, we propose selective validation mechanisms for efficient modular redundancy techniques in the datapaths on CGRAs. Our techniques selectively validate the results at synchronous operations rather than every operation in order to reduce the expensive performance overhead from the validation mechanism. We also present an optimization technique to further improve the runtime and the energy consumption by minimizing synchronous operations where a validating mechanism needs to be applied. Our experimental results demonstrate that our selective validation-based TMR technique with our optimization on CGRAs can improve the runtime by 41.0% and the energy consumption by 26.2% on average over benchmarks as compared to the recently proposed software-based TMR technique with the full validation.</P>
해수에 순치된 첨연어(Oncorhynchus keta)에서 분리된 정형 에로모나스 살모니시다(Aeromonas salmonicida)에 대한 특성 분석
임종원 ( Jongwon Lim ),고성재 ( Sungjae Ko ),박영준 ( Youngjun Park ),안도일 ( Do-il Ahn ),홍수희 ( Suhee Hong ) 한국어병학회 2023 한국어병학회지 Vol.36 No.2
첨연어(Oncorhynchus keta)는 한국에서 회귀하는 연어로 종 보존을 위해 경상북도 울진군에 위치한 수산자원공단에서 해수 순치하며 종묘 생산하였다. 그러나, 사육 중이던 첨연어 치어에서 세균성 질병에 감염된 증상을 보이며 폐사하였다. 따라서, 본 연구에서는 2021년 10월경에 사육환경에 따라 구분된 첨연어로부터 원인체를 규명하고자 세균을 분리하였다. 분리된 세균은 16S rDNA, rpoD (RNA polymerase sigma factor σ70) 및 vapA (A-layer)의 염기서열을 기반으로 유전학적으로 동정하고, 추가로 염분에 따른 성장, 생화학적 특성 분석, 항생제 감수성 및 병원성 인자를 분석하여 균주를 특성화하였다. 그 결과, 분리된 4개의 균주는 모두 Aeromonas salmonicida subsp. salmonicida 아종으로 동정하였다. 또한, 분리된 균주는 염분의 농도가 증가할수록 배지에서 성장이 감소하였다. 생화학적 특성 분석에서 분리된 4개 균주는 용혈성이 확인되지 않았고, 모두 같은 생화학적인 성상을 나타냈다. 항생제 감수성 분석에서는 oxolinic acid, flumequine 그리고 florfenicol에 대한 항생제에서 40~44 mm 억제대를 형성하였다. 병원성 인자의 발현 분석은 mRNA 수준에서 RT-PCR로 확인되었으며, 4개 균주는 모두 A. salmonicida의 병원성에 크게 기여한다고 잘 알려진 outer membrane ring of T3SS (ascV), inner membrane ring of T3SS (ascC), vapA, enterotoxin (act) 및 lipase (lip) 유전자가 발현되었다. 이 연구에서 분리된 A. salmonicida subsp. salmonicida의 특성 분석은 해수에 순치된 첨연어에서 발병하는 절창병을 예방하기 위한 기초자료로 활용될 수 있을 것이다. Chum salmon (Oncorhynchus keta) is a species which returns to Korea for spawning and was produced as seed production at the Fisheries Resources Agency located in Uljin-gun, Gyeongsangbuk-do to preserve the species. However, farmed chum salmon showed symptoms of bacterial infection. Therefore, in this study, bacteria were isolated to identify the causative agent from chum salmon in October 2021. The isolated bacteria were identified based on the sequences of 16S rDNA, rpoD (RNA polymerase sigma factor σ70), and vapA (A-layer) genes. Also, salinity-growth curve, biochemical characterization, antibiotic susceptibility test, and pathogenicity analysis were performed in four strains. As a result, four isolated strains were identified as Aeromonas salmonicida subsp. salmonicida. Additionally, the bacterial strains showed a decrease in growth as the salt concentration increased in the medium. All of the isolated strains exhibited γ-hemolysis, and the same biochemical properties. In the antimicrobial susceptibility test, all strains showed an inhibition zone of 40 to 44 mm for oxolinic acid, flumequine, and florfenicol. Pathogenic factors were assessed by RT-PCR at the mRNA level, and found that the four strains expresses the outer membrane ring of T3SS (ascV), inner membrane ring of T3SS (ascC), vapA, enterotoxin (act), and lipase (lip) genes which are well known to significantly contribute to the pathogenicity of A. salmonicida. The results of this study can be used as basic data to prevent A. salmonicida subsp. salmonicida occurring in sea-chum salmon in the future.
IEEE 802.11e 무선LAN의 차별화된 성능강화기법
윤종원(Jongwon Yoon),윤상기(Sangki Yun),김효곤(Hyogon Kim),고정길(Jeong-Gil Ko) 한국정보과학회 2006 한국정보과학회 학술발표논문집 Vol.33 No.2D
IEEE 802.11e 무선LAN 매체접근제어(MAC) 통신규약의 분산조정함수(DCF)의 성능은 경쟁노드수가 증가할수록 급격히 떨어진다. 이러한 문제점을 해결하기 위해서 채널의 유휴슬롯시간(Idle Time)을 측정해서 최소 경쟁윈도(CW<SUB>min</SUB>)를 조절하는 방식이 제시되었다. 이러한 방식을 각 부류별로 서비스 품질이 보장되는 IEEE 802.11e 네트워크로 확장하여 성능을 최대화하는 기법을 이 논문에서 다루겠다. 각 부류별로 서비스품질은 유지하면서 네트워크 전체의 성능을 높일 수 있는 최적의 경쟁윈도 크기를 찾아내는 기법을 보이도록 하겠다.