• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권4호
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• pp.1317-1341
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• 2021

Nowadays, the Internet of Things (IoT) is adopted to enable effective and smooth communication among different networks. In some specific application, the Wireless Sensor Networks (WSN) are used in IoT to gather peculiar data without the interaction of human. The WSNs are self-organizing in nature, so it mostly prefer multi-hop data forwarding. Thus to achieve better communication, a cross-layer routing strategy is preferred. In the cross-layer routing strategy, the routing processed through three layers such as transport, data link, and physical layer. Even though effective communication achieved via a cross-layer routing strategy, energy is another constraint in WSN assisted IoT. Cluster-based communication is one of the most used strategies for effectively preserving energy in WSN routing. This paper proposes a Bio-inspired cross-layer routing (BiHCLR) protocol to achieve effective and energy preserving routing in WSN assisted IoT. Initially, the deployed sensor nodes are arranged in the form of a grid as per the grid-based routing strategy. Then to enable energy preservation in BiHCLR, the fuzzy logic approach is executed to select the Cluster Head (CH) for every cell of the grid. Then a hybrid bio-inspired algorithm is used to select the routing path. The hybrid algorithm combines moth search and Salp Swarm optimization techniques. The performance of the proposed BiHCLR is evaluated based on the Quality of Service (QoS) analysis in terms of Packet loss, error bit rate, transmission delay, lifetime of network, buffer occupancy and throughput. Then these performances are validated based on comparison with conventional routing strategies like Fuzzy-rule-based Energy Efficient Clustering and Immune-Inspired Routing (FEEC-IIR), Neuro-Fuzzy- Emperor Penguin Optimization (NF-EPO), Fuzzy Reinforcement Learning-based Data Gathering (FRLDG) and Hierarchical Energy Efficient Data gathering (HEED). Ultimately the performance of the proposed BiHCLR outperforms all other conventional techniques.

• World Technopolis Review
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• 제4권2호
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• pp.87-103
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• 2015

This paper aims to explore how firms develop and grow in regional clusters based in a developing country. The argument is that start-ups / small and large firms are able to grow by developing linkages or networks for resources within clusters - and this tenet is based on studies of firms that are based from such clusters as Silicon Valley in the US, Cambridge in UK and other clusters from which have evolved over long periods of time. Most of the time we hear narratives from the developed world where there are brownfield cluster development efforts. In developing countries governments are making efforts to develop clusters from scratch - which in this paper we term as greenfield cluster versus a brownfield development, which is where the cluster is developed based on existing and new organisations in a region. In this paper, we believe the context of clusters can be important in determining the way firms develop linkages for their growth - and we look at two contexts in Malaysia ie. A greenfield cluster and a brownfield cluster. The paper presents findings from case studies of firms in a greenfield cluster (Cyberjaya) and a brown field cluster (Penang) in Malaysia. The cases reveal fairly different approaches to development of linkages or networks, which we hope will provides insights to cluster development officials and policy makers and implications to researchers for developing studies of clusters and innovation systems.

• 한국약용작물학회지
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• 제15권5호
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• pp.357-361
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• 2007

This study was conducted to evaluate the vegetation structure of the Peucedanum japonicum community by the phytosociological method of floristic composition table and cluster analysis on the southern coast of Korea. The vegetation of the Peucedanum japonicum community was classified mainly into 2 communities such as the Miscanthus sinensis community and the Lysimachia mauritiana-Rosa wichuraiana community. The Carex boottiana and Sedum oryzifolium community were classified as the lower rank of Miscanthus sinensis community. On level 1 of the cluster analysis of plant species, they were classified into Lysimachia mauritiana and Rosa wichuraiana group, also Miscanthus sinensis, Carex boottiana and Sedum oryzifolium in Peucedanum japonicum community, which is similar to the community classification shown in the synoptic table. On level 1 of the cluster analysis of relev, inland coast with Jejudo was Lysimachia mauritiana and Rosa wichuraiana of group such as level 1 of the cluster analysis of plant species, and island coast with Geomundo was Miscanthus sinensis Carex boottiana and Sedum oryzifolium of group such as cluster analysis of plant species.

• Bulletin of the Korean Chemical Society
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• 제28권11호
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• pp.1996-2002
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• 2007

The redox behavior of a [Ni6(μ3-Se)2(μ4-Se)3(Fe(η 5-C5H4P-Ph2)2)3] (= [Ni-Se-dppf], dppf = 1,1-bis(diphenylphosphino) ferrocene) cluster was studied using platinum (Pt) and glassy carbon electrodes (GCE) in nonaqueous media. The cluster showed electrochemical activity at the potential range between +1.6 and ?1.6 V. In the negative region (0 to ?1.6 V), the cluster exhibited two-step reductions. The first step was one-electron reversible, while the second step was a five-electron quasi-reversible process. On the other hand, in the positive region (0 to +1.6 V), the first step involved one-electron quasi-reversible process. The applicability of the cluster was found towards the electrocatalytic reduction of CO2 and was evaluated by experiments using rotating ring disc electrode (RRDE). RRDE experiments demonstrated that two electrons were involved in the electrocatalytic reduction of CO2 to CO at the Se-Ni-dppf-modified electrode.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2021년도 추계학술발표대회
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• pp.749-752
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• 2021

오늘날 인공지능(Artificial Intelligence, AI) 분야에서 가장 구현하기 어려운 분야 중 하나는 추론이다. 근래 추론 분야에서 영상과 언어가 결합한 다중 모드(Multi-modal) 환경에서 영상 기반의 질의 응답(Visual Question Answering, VQA) 과업에 대한 AI 모델이 발표됐다. 얼마 지나지 않아 VQA 모델의 성능을 개선한 GVQA(Grounded Visual Question Answering) 모델도 발표됐다. 하지만 아직 GVQA 모델도 완벽한 성능을 내진 못한다. 본 논문에서는 GVQA 모델의 성능 개선을 위해 VCC(Visual Concept Classifier) 모델을 ViT-G(Vision Transformer-Giant)/14로 변경하고, ACP(Answer Cluster Predictor) 모델을 GPT(Generative Pretrained Transformer)-3으로 변경한다. 이와 같은 방법들은 성능을 개선하는 데 큰 도움이 될 수 있다고 사료된다.

• 한국생물환경조절학회:학술대회논문집
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• 한국생물환경조절학회 1999년도 정기총회 및 학술논문발표요지
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• pp.75-78
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• 1999

토마토의 육묘시에 화아분화에 미치는 제요인의 영향에 대한 정확한 정보는 미흡하다. 흔히 육묘 중인 토마토의 생식생장을 촉진하기 위해서는 질소비료의 공급량을 줄이고 야간기온을 낮추어 야냉육묘해야 한다고 알려져 있다. 그러나 공정육묘기술의 도입으로 인하여 다품목 소량생산을 위주로 하는 국내의 채소 육묘농가들이 다양한 종류의 묘를 하나의 온실에서 생산해야 하는 한계성을 가지고 있다. (중략)

• 미생물학회지
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• 제52권3호
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• pp.298-305
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• 2016

본 연구에서는 p-cresol 초기 분해에 관여하는 기존의 lap과 pcu 유전자군 외에 새로운 pch 유전자군을 Pseudomonas alkylphenolica KL28로 부터 동정하였다. 이 유전자군(pchACXF-pcaHG-orf4-pcaBC)은 p-cresol을 ${\beta}$-carboxy-cis,cis-muconate로의 전환을 촉매할 수 있는 효소를 암호화하는 것을 알 수 있었다. 이 유전자 군은 영국에서 분리된 Pseudomonas putida NCIMB 9866과 9869의 plasmid에서 유래된 pch 유전자 군과 동일하여, 이들 유전자군은 종간 horizontal gene transfer로 전달되었을 가능성을 제시하였다. 각 유전자군의 관련 유전자의 변이와 gfp 레포터를 갖는 프로모터의 발현 분석을 통해 3개의 분해 유전자군이 모두 p-cresol의 분해에 관여하는 것을 알 수 있었으며, pch 유전자는 p-cresol에 의해 유도되며, 고체 및 액체 배지에서도 pcu 유전자군이 가장 높게 발현되는 것을 확인할 수 있었다. 또한 pcu 유전자 변이주는 p-cresol을 이용하여 버섯모양의 공중체(aerial structure) 형성하지 않았으므로, 탄소원의 이용 속도가 다세포 구조 형성에 영향을 주는 중요한 요소 중의 하나임을 알 수 있었다.

• 산업경영시스템학회지
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• 제27권3호
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• pp.83-89
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• 2004

The object of this study is to survey present conditions, to analyze the development of bio-industry in northern area of Kyonggi province by the decision making method of the SWOT model, to suggest a plan for the prospect of continued development field and the location of industry, and to extract fundamental data for establishment of annual action and investment plan which can develop bio-industry. For the purpose of making a policy decision in national operation policy, business administration policy, and new product design, the research for extracting more objective and standard approach method should be continuously conducted.

• 대한안전경영과학회지
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• 제5권2호
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• pp.225-238
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• 2003

This study shows that the SWOT is efficient to select a factor which is valuable as worth consideration when a decision making is necessary. Such processing of information is able to present the policy for the development of bio-industry in northern area of Kyonggi province, and create the pragmatic value and effect in carrying out the policy. The object of this study is to survey present conditions, to analyze the development of bio-industry in northern area of Kyonggi province by the decision making method of the SWOT model, to suggest a plan for the prospect of continued development field and the location of industry, and to extract fundamental data for establishment of annual action and investment plan which can develop bio-industry.

• Journal of Microbiology and Biotechnology
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• 제26권9호
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• pp.1636-1642
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• 2016

Phenalamide is a bioactive secondary metabolite produced by Myxococcus stipitatus. We identified a 56 kb phenalamide biosynthetic gene cluster from M. stipitatus DSM 14675 by genomic sequence analysis and mutational analysis. The cluster is comprised of 12 genes (MYSTI_04318- MYSTI_04329) encoding three pyruvate dehydrogenase subunits, eight polyketide synthase modules, a non-ribosomal peptide synthase module, a hypothetical protein, and a putative flavin adenine dinucleotide-binding protein. Disruption of the MYSTI_04324 or MYSTI_04325 genes by plasmid insertion resulted in a defect in phenalamide production. The organization of the phenalamide biosynthetic modules encoded by the fifth to tenth genes (MYSTI_04320-MYSTI_04325) was very similar to that of the myxalamid biosynthetic gene cluster from Stigmatella aurantiaca Sg a15, as expected from similar backbone structures of the two substances. However, the loading module and the first extension module of the phenalamide synthase encoded by the first to fourth genes (MYSTI_04326-MYSTI_04329) were found only in the phenalamide biosynthetic gene cluster from M. stipitatus DSM 14675.