• Journal of Fisheries and Marine Sciences Education
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• v.27 no.3
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• pp.672-681
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• 2015

Edwardsiellosis has become a serious diseases problem in cultured eels for many years. This study was performed to investigate possibility of vaccination against edwardsiellosis caused by Edwardsiella tarda. We conducted a immersion and/or oral vaccination using formalin-killed E. tarda in eel Anguilla japonica. Three groups of fish ($26.8{\pm}1.2g$, $7.1{\pm}0.7g$ and $2.2{\pm}0.4g$) were used in this study. The protection (relative percentage survival, RPS) and serum antibody response (agglutination titer) were evaluated in the vaccinated fish. No correlation between agglutination titer and survival rate was observed in vaccinated fish. However, there was a satisfactory protective (RPS>50%) in vaccinated fish. Immersion (10 mg/mL, 1 hr) and immersion (10 mg/mL, 1 hr) plus oral (10 mg/g, 10 days) of $26.8{\pm}1.2g$, immersion (10 mg/mL, 1 hr) plus oral (10 mg/g, 10 days) of $7.1{\pm}0.7g$ showed RPS of 62.6%, 52.2% and 56.8%, respectively.

• 한국신재생에너지학회:학술대회논문집
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• 2011.05a
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• pp.133.2-133.2
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• 2011

2012년 RPS 제도가 시행되게 되면 발전설비용량 기준 500MW이상의 발전 사업자는 전체 전력생산량 중 일정 부분을 신재생에너지로 생산, 공급해야 한다. 최근 지경부에서 고시한 제5차 전력수급기본계획에서도 이러한 점을 반영하여 2024년까지 전체 발전량의 8.9%를 신재생에너지원으로 대체하겠다고 발표하였다. 신재생에너지 기술 수준, 시장여건 등을 고려하였을 때 앞으로 가장 크게 보급량(penetration)이 증가할 것으로 보이는 신재생에너지원은 태양광과 풍력인데 이 두 에너지원은 간헐성(intermittency)으로 인한 비급전성이라는 특징을 가지고 있어 향후 그 비중이 증가하면 전력계통의 안정성에 미치는 영향에 대해 고려해야할 것으로 보인다. 본 연구에서는 태양광과 풍력의 간헐성을 고려했을 때 추가적으로 발생하는 비용을 고려했을 경우 각 에너지원의 용량비용은 어떻게 되는지 알아보고자 한다.

• Microbiology and Biotechnology Letters
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• v.30 no.2
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• pp.105-110
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• 2002

The sequence of 3,221 nucleotides immediately adjacent to rpsA gene encoding 30S ribosomal protein S1 of Brevibacterium ammoniagenes was determined. A putative open reading frame (ORF) of 2,670 nucleotides for a polypeptide of 889 amino acid residues and a TAG stop codon was found, which is located at a distance of 723 nucleotides upstream from rpsA gene with same translational direction. The deduced amino acid sequence of the ORF was found to be highly homologous to the DNA polymerase I of Streptomyces griseus (75.48％), Rhodococcus sp. ATCC 15963 (56.69％), Mycobacterium tuberculosis (55.46％) and Mycobacterium leprae (53.99％). It was suggested that the predicted product of the ORF is a DNA polymerase I with three functional domains. Two domains of 5 → 3 exonuclease and DNA polymerase are highly conserved with other DNA polymerase I, but 3 → 5 exonuclease domain is less conserved.

• The Plant Pathology Journal
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• v.37 no.5
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• pp.489-493
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• 2021

Bacterial canker is a devastating disease of kiwifruit caused by the bacterium Pseudomonas syringe pv. actinidiae. Canker disease of kiwifruit in Korea has been controlled using streptomycin for more than two decades. Four streptomycin-resistant strains, belonging to biovar 2, which are found only in Korea, were collected between 2013 and 2014 from different orchards located in Jeju, Korea. The genetic background for streptomycin resistance among P. syringe pv. actinidiae strains were determined by examining the presence of strA-strB or aadA, which are genes frequently found in streptomycin-resistant bacteria, and a point mutation at codon 43 in the rpsL gene. All four streptomycin-resistant strains of P. syringe pv. actinidiae investigated in this study contained strA-strB as a resistant determinant. The presence of the aadA gene and a mutation in codon 43 of the rpsL gene was not identified.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.2
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• pp.125-133
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• 2011

For any pattern matching based algorithm in WLAN environment, the characteristics of signal to noise ratio(SNR) to multiple access points(APs) are utilized to establish database in the training phase, and in the estimation phase, the actual two dimensional coordinates of mobile unit(MU) are estimated based on the comparison between the new recorded SNR and fingerprints stored in database. As fingerprinting method, k-nearest neighbor(KNN) has been widely applied for indoor location in wireless location area networks(WLAN), but its performance is sensitive to number of neighbors k and positions of reference points(RPs). So intuitive fuzzy c-means(IFCM) clustering algorithm is applied to improve KNN, which is the KNN/IFCM hybrid algorithm presented in this paper. In the proposed algorithm, through KNN, k RPs are firstly chosen as the data samples of IFCM based on signal to noise ratio(SNR). Then, the k RPs are classified into different clusters through IFCM based on SNR. Experimental results indicate that the proposed KNN/IFCM hybrid algorithm generally outperforms KNN, KNN/FCM, KNN/PFCM algorithm when the locations error is less than 2m.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.2
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• pp.109-115
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• 2011

As fingerprinting method, k-nearest neighbor(KNN) has been widely applied for indoor location in wireless location area networks(WLAN), but its performance is sensitive to number of neighbors k and positions of reference points(RPs). So artificial neural network(ANN) clustering algorithm is applied to improve KNN, which is the KNN/ANN hybrid algorithm presented in this paper. For any pattern matching based algorithm in WLAN environment, the characteristics of signal to noise ratio(SNR) to multiple access points(APs) are utilized to establish database in the training phase, and in the estimation phase, the actual two dimensional coordinates of mobile unit(MU) are estimated based on the comparison between the new recorded SNR and fingerprints stored in database. In the proposed algorithm, through KNN, k RPs are firstly chosen as the data samples of ANN based on SNR. Then, the k RPs are classified into different clusters through ANN based on SNR. Experimental results indicate that the proposed KNN/ANN hybrid algorithm generally outperforms KNN algorithm when the locations error is less than 2m.

• Korean Journal of Plant Taxonomy
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• v.36 no.4
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• pp.263-277
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• 2006

Anemone pendulisepala, recently described as a new species, is distributed in sympatry with A. reflexa, A. amurensis, and A. raddeana at Mt. taebeark and Mt. Baekdu. Anemone pendulisepala was previously proposed to be a hybrid species between A. reflexa and A. amurensis becaue it displavs overlapping features with them in involucre shape, petiole length, sepal apex and xylem shape, To verify the taxonomic status and to examine the hybridity of A. pendulisepala, sequences of ITS region of nuclear ribosomal DNA and the psba-trnH, rps16 and trnLF region of cpDNA from 36 accessions of 5 taxa including outgroup were analyzed. In maximum parsimony tree based on ITS sequences, A. pendulisepala had the same sequences of A. reflexa and was clustered with monophyletic A. amurensis, and then A. raddeana. Anemone pendulisepala was distinguished from the other taxa by having four base insertion in rps16 region, two species-specific bases and insertion in trnLF region. In the phylogenetic trees of combined cpDNA, A. pendulisepala showed monophyly with the bootstrap 100%. Anemone pendulisepala exhibited no polymorphism and shared no sequences with putative parental or related taxa examined in this study. Molecular data suggest that A. pendulisepala should be a distinct species, and no evidence of the hybridization was detectcd.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.6
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• pp.146-153
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• 2010

For the indoor location, wireless fingerprinting is most favorable because fingerprinting is most accurate among the technique for wireless network based indoor location which does not require any special equipments dedicated for positioning. As fingerprinting method,k-nearest neighbor(KNN) has been widely applied for indoor location in wireless location area networks(WLAN), but its performance is sensitive to number of neighborsk and positions of reference points(RPs). So possibilistic fuzzy c-means(PFCM) clustering algorithm is applied to improve KNN, which is the KNN/PFCM hybrid algorithm presented in this paper. In the proposed algorithm, through KNN,k RPs are firstly chosen as the data samples of PFCM based on signal to noise ratio(SNR). Then, thek RPs are classified into different clusters through PFCM based on SNR. Experimental results indicate that the proposed KNN/PFCM hybrid algorithm generally outperforms KNN and KNN/FCM algorithm when the locations error is less than 2m.

• The KIPS Transactions:PartC
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• v.15C no.3
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• pp.205-212
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• 2008

In the environment with multiple heterogeneous wireless sensor networks with a single point of sensed data collection or a gateway (GW), relay points (RPs) may be required for the energy efficient delivery of sensed data from static or mobile sinks to the GW. The optimal placement of RPs becomes an even more difficult problem if static sinks are dynamically added or the trajectory of mobile sinks can not be known in advance. In order to resolve this problem, we propose a mechanism to deploy RPs in a grid pattern and to use the tree-based relaying network for reducing the cost of the RP and for reducing the control overhead incurred by the route setup from sinks to the GW. For the performance evaluation of our proposed mechanism, we have carried out a numerical analysis on a single route setup from a sink to the GW and, for more general performance evaluations, ns-2 based simulations have been carried out. According to the performance evaluation results, our tree-based relaying network mechanism outperforms that based on AODV in terms of the data delivery time, the network service time and the control overhead.

• Proceedings of the Korean Nuclear Society Conference
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• 1999.10a
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• pp.200.1-200
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• 1999