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기계학습 기반의 메타모델을 활용한 ZnO 바리스터 소결 공정 최적화 연구 (Sintering process optimization of ZnO varistor materials by machine learning based metamodel)

  • 김보열;서가원;하만진;홍연우;정찬엽
    • 한국결정성장학회지
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    • 제31권6호
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    • pp.258-263
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    • 2021
  • ZnO 바리스터는 다결정구조를 가지는 반도체 소자로 결정립과 입계의 미세구조 제어를 통해 비선형적인 전류/전압 특성을 가지기 때문에 서지(surge)전압으로부터 회로를 보호하는 역할을 한다. 이러한 ZnO 바리스터에서 원하는 전기적 물성을 얻기 위해서는 소결 공정에서 미세구조의 제어가 중요하다. 따라서 소결 공정에서 중요한 변수들과 소결체의 전기적 물성인 유전율로 구성된 데이터셋을 정의한 후 실험계획법 기반으로 데이터를 수집했다. 수집된 실험데이터셋을 기계학습 알고리즘에 학습하여 메타모델을 개발했고, 개발된 메타모델에 수치기반 최적화 알고리즘인 HMA(Hybrid Metaheuristic Algorithm)를 적용하여 최대 유전율을 가질 수 있는 공정조건을 도출했다. 이러한 메타모델 기반의 최적화를 다변수 시스템인 세라믹공정에 적용한다면 최소한의 실험만으로 최적 공정조건 탐색이 가능할 것으로 판단된다.

Keyword Analysis of Arboretums and Botanical Gardens Using Social Big Data

  • Shin, Hyun-Tak;Kim, Sang-Jun;Sung, Jung-Won
    • 인간식물환경학회지
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    • 제23권2호
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    • pp.233-243
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    • 2020
  • This study collects social big data used in various fields in the past 9 years and explains the patterns of major keywords of the arboretums and botanical gardens to use as the basic data to establish operational strategies for future arboretums and botanical gardens. A total of 6,245,278 cases of data were collected: 4,250,583 from blogs (68.1%), 1,843,677 from online cafes (29.5%), and 151,018 from knowledge search engine (2.4%). As a result of refining valid data, 1,223,162 cases were selected for analysis. We came up with keywords through big data, and used big data program Textom to derive keywords of arboretums and botanical gardens using text mining analysis. As a result, we identified keywords such as 'travel', 'picnic', 'children', 'festival', 'experience', 'Garden of Morning Calm', 'program', 'recreation forest', 'healing', and 'museum'. As a result of keyword analysis, we found that keywords such as 'healing', 'tree', 'experience', 'garden', and 'Garden of Morning Calm' received high public interest. We conducted word cloud analysis by extracting keywords with high frequency in total 6,245,278 titles on social media. The results showed that arboretums and botanical gardens were perceived as spaces for relaxation and leisure such as 'travel', 'picnic' and 'recreation', and that people had high interest in educational aspects with keywords such as 'experience' and 'field trip'. The demand for rest and leisure space, education, and things to see and enjoy in arboretums and botanical gardens increased than in the past. Therefore, there must be differentiation and specialization strategies such as plant collection strategies, exhibition planning and programs in establishing future operation strategies.

Genome-wide identification and expression profiling of the pectin methylesterase gene family in Citrus sinensis (L.) Osbeck

  • Ho Bang Kim;Chang Jae Oh;Nam-Hoon Kim;Cheol Woo Choi;Minju Kim;Sukman Park;Seong Beom Jin;Su-Hyun Yun;Kwan Jeong Song
    • Journal of Plant Biotechnology
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    • 제49권4호
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    • pp.271-291
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    • 2022
  • Pectin methylesterase (PME) plays an important role in vegetative and reproductive development and biotic/abiotic stress responses by regulating the degree of methyl-esterification of pectic polysaccharides in the plant cell wall. PMEs are encoded by a large multigene family in higher land plant genomes. In general, the expression of plant PME genes shows tissue- or cell-specific patterns and is induced by endogenous and exogenous stimuli. In this study, we identified PME multigene family members (CsPMEs) from the sweet orange genome and report detailed molecular characterization and expression profiling in different citrus tissues and two fruit developmental stages. We also discussed the possible functional roles of some CsPME genes by comparing them with the known functions of PMEs from other plant species. We identified 48 CsPME genes from the citrus genome. A phylogenetic tree analysis revealed that the identified CsPMEs were divided into two groups/types. Some CsPMEs showed very close phylogenetic relationships with the PMEs whose functions were formerly addressed in Arabidopsis, tomato, and maize. Expression profiling showed that some CsPME genes are highly or specifically expressed in the leaf, root, flower, or fruit. Based on the phylogenetic relationships and gene expression profiling results, we suggest that some CsPMEs could play functional roles in pollen development, pollen tube growth, cross incompatibility, root development, embryo/seed development, stomata movement, and biotic/abiotic stress responses. Our results shed light on the biological roles of individual CsPME isoforms and contribute to the search for genetic variations in citrus genetic resources.

Sentiment Analysis for COVID-19 Vaccine Popularity

  • Muhammad Saeed;Naeem Ahmed;Abid Mehmood;Muhammad Aftab;Rashid Amin;Shahid Kamal
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권5호
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    • pp.1377-1393
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    • 2023
  • Social media is used for various purposes including entertainment, communication, information search, and voicing their thoughts and concerns about a service, product, or issue. The social media data can be used for information mining and getting insights from it. The World Health Organization has listed COVID-19 as a global epidemic since 2020. People from every aspect of life as well as the entire health system have been severely impacted by this pandemic. Even now, after almost three years of the pandemic declaration, the fear caused by the COVID-19 virus leading to higher depression, stress, and anxiety levels has not been fully overcome. This has also triggered numerous kinds of discussions covering various aspects of the pandemic on the social media platforms. Among these aspects is the part focused on vaccines developed by different countries, their features and the advantages and disadvantages associated with each vaccine. Social media users often share their thoughts about vaccinations and vaccines. This data can be used to determine the popularity levels of vaccines, which can provide the producers with some insight for future decision making about their product. In this article, we used Twitter data for the vaccine popularity detection. We gathered data by scraping tweets about various vaccines from different countries. After that, various machine learning and deep learning models, i.e., naive bayes, decision tree, support vector machines, k-nearest neighbor, and deep neural network are used for sentiment analysis to determine the popularity of each vaccine. The results of experiments show that the proposed deep neural network model outperforms the other models by achieving 97.87% accuracy.

Morphometric and genetic diversity of Rasbora several species from farmed and wild stocks

  • Bambang Retnoaji;Boby Muslimin;Arif Wibowo;Ike Trismawanti
    • Fisheries and Aquatic Sciences
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    • 제26권9호
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    • pp.569-581
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    • 2023
  • The morphology and genetic identification of Rasbora lateristriata and Rasbora argyrotaenia between cultivated and wild populations has never been reported. This study compares morphology and cytochrome c oxidase (COI) genes between farmed and wild stock Rasbora spp. in Java and Sumatra island, Indonesia. We analyzed the truss network measurement (TNM) characters of 80 fish using discriminant function analysis statistical tests. DNA was extracted from muscle tissue of 24 fish specimens, which was then followed by polymerase chain reaction, sequencing, phylogenetic analysis, fixation index analysis, and statistical analysis of haplotype networks. Basic Local Alignment Search Tool analysis validated the following species: R. lateristriata and R. argyrotaenia from farming (Jogjakarta); Rasbora agryotaenia (Purworejo), R. lateristriata (Purworejo and Malang), Rasbora dusonensis (Palembang), and Rasbora einthovenii (Riau) from natural resources. Based on TNM characters, Rasbora spp. were divided into four groups, referring to four distinct characters in the middle of the body. The phylogenetic tree is divided into five clades. The genetic distance between R. argyrotaenia (Jogjakarta) and R. lateristriata (Malang) populations (0.66) was significantly different (p < 0.05). R. lateristriata (Purworejo) has the highest nucleotide diversity (0.43). R. argyrotaenia from Jogjakarta and Purworejo shared the same haplotype. The pattern of gene flow among them results from the two populations' close geographic proximity and environmental effects. R. argyrotaenia had low genetic diversity, therefore, increasing heterozygosity in cultivated populations is necessary to avoid inbreeding. Otherwise, R. lateristriata (Purworejo) had a greater gene variety that could be used to develop breeding. In conclusion, the middle body parts are a distinguishing morphometric character of Rasbora spp., and the COI gene is more heterozygous in the wild population than in farmed fish, therefore, enrichment of genetic variation is required for sustainable Rasbora fish farming.

원전 구조물의 경년열화를 고려한 지진응답예측 기계학습 모델의 성능평가 (Performance Evaluation of Machine Learning Model for Seismic Response Prediction of Nuclear Power Plant Structures considering Aging deterioration)

  • 김현수;김유경;이소연;장준수
    • 한국공간구조학회논문집
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    • 제24권3호
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    • pp.43-51
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    • 2024
  • Dynamic responses of nuclear power plant structure subjected to earthquake loads should be carefully investigated for safety. Because nuclear power plant structure are usually constructed by material of reinforced concrete, the aging deterioration of R.C. have no small effect on structural behavior of nuclear power plant structure. Therefore, aging deterioration of R.C. nuclear power plant structure should be considered for exact prediction of seismic responses of the structure. In this study, a machine learning model for seismic response prediction of nuclear power plant structure was developed by considering aging deterioration. The OPR-1000 was selected as an example structure for numerical simulation. The OPR-1000 was originally designated as the Korean Standard Nuclear Power Plant (KSNP), and was re-designated as the OPR-1000 in 2005 for foreign sales. 500 artificial ground motions were generated based on site characteristics of Korea. Elastic modulus, damping ratio, poisson's ratio and density were selected to consider material property variation due to aging deterioration. Six machine learning algorithms such as, Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Artificial Neural Networks (ANN), eXtreme Gradient Boosting (XGBoost), were used t o construct seispic response prediction model. 13 intensity measures and 4 material properties were used input parameters of the training database. Performance evaluation was performed using metrics like root mean square error, mean square error, mean absolute error, and coefficient of determination. The optimization of hyperparameters was achieved through k-fold cross-validation and grid search techniques. The analysis results show that neural networks present good prediction performance considering aging deterioration.

Diversity and distribution of goby-fry fish in Tomini Bay, Gorontalo, Indonesia

  • Femy M. Sahami;Sri Nuryatin Hamzah;Philippe Keith;Sitty Ainsyah Habibie
    • Fisheries and Aquatic Sciences
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    • 제27권5호
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    • pp.294-305
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    • 2024
  • Tomini Bay in Gorontalo offers significant potential for amphidromous goby-fry, a group of fish found in at least five estuaries in the area, namely Bone-Bolango, Paguyaman, Bilungala, Tombulilato, and Taludaa Estuaries. Preliminary results were limited to only two locations in estuarine waters, namely the Bone-Bolango and Paguyaman rivers. Further exploration of goby-fry species in various locations within Tomini Bay is essential to enhance knowledge about the abundance and aid conservation efforts. Therefore, this study identified the goby-fry species and created their distribution map in the waters of Tomini Bay Gorontalo. The samples used were obtained from daily catches of fishermen in the five estuaries during the recruitment period from February to September 2022. These samples were categorized based on their morphological similarities and specific melanophore patterns. Distinct groups with different melanophore patterns from those previously reported were identified as newly recorded species, photographed, and described in terms of their morphology. Furthermore, two specimens from each newly recorded species underwent molecular identification using the cytochrome oxidase subunit 1 (COI) gene for DNA amplification and were analyzed through the Basic Local Alignment Search Tool (BLAST) method. The phylogenetic tree was constructed using the Maximum Likelihood Method. The results showed the existence of nongoby-fry species caught together with goby fry school. A total of 75,881 goby-fry and 1,687 nongoby-fry were successfully collected. Among the goby-fry species, 13 were identified, including three new records, namely Eleotris fusca (Forster, 1801), Sicyopterus microcephalus (Bleeker, 1855), and Sicyopus zosterophorus (Bleeker, 1856). This study also documented the existence of nongoby-fry species, namely Anguilla celebesensis (Kaup, 1856), Moringua microchir (Bleeker, 1853), and Microphis leiaspis (Bleeker, 1854). It significantly contributed to the understanding of fish biodiversity in Tomini Bay.

Microbe Hunting: A Curious Case of Cryptococcus

  • Bartlett, Karen H.;Kidd, Sarah;Duncan, Colleen;Chow, Yat;Bach, Paxton;Mak, Sunny;MacDougall, Laura;Fyfe, Murray
    • 한국환경보건학회:학술대회논문집
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    • 한국환경보건학회 2005년도 국제학술대회
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    • pp.45-72
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    • 2005
  • C. neoformans-associated cryptococcosis is primarily a disease of immunocompromised persons, has a world-wide distribution, and is often spread by pigeons in the urban environment. In contrast, C. gattii causes infection in normal hosts, has only been described in tropical and semi-tropical areas of the world, and has a unique niche in river gum Eucalyptus trees. Cryptococcosis is acquired through inhalation of the yeast propagules from the environment. C. gattii has been identified as the cause of an emerging infectious disease centered on Vancouver Island, British Columbia, Canada. No cases of C. gattii-disease were diagnosed prior to 1999; the current incidence rate is 36 cases per million population. A search was initiated in 2001 to find the ecological niche of this basidiomycetous yeast. C. gaftii was found in the environment in treed areas of Vancouver Island. The highest percentage of colonized-tree clusters were found around central Vancouver Island, with decreasing rates of colonization to the north and south. Climate, soil and vegetation cover of this area, called the Coastal Douglas fir biogeoclimatic zone, is unique to British Columbia and Canada. The concentration of airborne C. gattii was highest in the dry summer months, and lowest during late fall, winter, and early spring, months which have heavy rainfall. The study of the emerging colonization of this organism and subsequent cases of environmentally acquired disease will be informative in planning public health management of new routes of exposure to exotic agents in areas impacted by changing climate and land use patterns. Cryptococcosis is an infection associated with an encapsulated, basidiomycetous yeast Cryptococcus neoformans. The route of entry for this organism is through the lungs, with possible systemic spread via the circulatory system to the brain and meninges. There are four cryptococcal serogroups associated with disease in humans and animals, distinguished by capsular polysaccharide antigens. Cryptococcus neoformans: variety grubii (serotype A), variety neoformans (serotype D), and variety gattii (serotypes B and C) (Franzot et at. 1999). C. neoformans variety gattii has recently been elevated to species status, C. gattii. C. neoformans val. grubii and var. neoformans have a world-wide distribution, and are particularly associated with soil and weathered bird droppings. In contrast, C. gattii (CG) is not associated with bird excrement, is primarily found in tropical and subtropical climates, and has a restricted environmental niche associated with specific tree species. (Ellis & Pfiffer 1990) Ellis and Pfeiffer theorize that, as a basidiomycete, CG requires an association with a tree in order to become pathogenic to mammals. In Australia, CG has been found to be associated with five species of Eucalypts, Eucalyptus camaldulensis, E. tereticornis, E. blakelyi, E. gomphocephala, and E. rudis. Eucalypts, although originally native to Australia, now have a world-wide distribution. CG has been found associated with imported eucalypts in India, California, Brazil, and Egypt. In addition, in Brazil and Columbia, where eucalypts have been naturalized, native trees have been shown to harbour CG (Callejas et al. 1998; Montenegro et al. 2000). In British Columbia, Canada, since the beginning of 1999, there have been 120 confirmed cases of cryptococcal mycoses associated with CG in humans, including 4 fatalities (data from British Columbia Centre for Disease Control), and over 200 cases in animal pets in BC (data from Central Laboratory for Veterinarians). What is remarkable about the BC outbreak of C. gattii-cryptococcosis is that all of the cases have been residents of, or visitors to, a narrow area along the eastern coast of Vancouver Island, BC, from the tip of the island in the south (Victoria) to Courtenay on the north-central island as illustrated in Figure 1. Of the first 38 human cases, 58% were male with a mean age of 59.7 years (range 20 - 82): 36 cases (95%) were Caucasian. Ten cases (26%) presented with meningitis, the remainder presented with respiratory symptoms. Cultures recovered from cases of cryptococcosis associated with the outbreak were typed as serogroup B, which is specific to CG (Bartlett et al. 2003). This was the first reported outbreak of CVG in Canada, or indeed, the world. Where infection with CG is endemic, for example, Australia, the incidence of cryptococcosis ranges from 1.8 - 4.7 per million between the southern and northern states (Sorrell 2001). However, the overall incidence of cryptococcosis in immunocompenent individuals has been estimated at 0.2 per million population per year (Kwon-Chung et al. 1984). The population of Vancouver Island is approximately 720,000,consequently, even if the organism were endemic, one would expect a maximum of 0.15 cases of cryptococcal disease annually.

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흰목이버섯 대량생산을 위한 용기내 재배 최적화 연구 (Optimization of artificial cultivation of Tremella fuciformis in closed culture bottle)

  • 최성우;장현유;윤정원;이찬
    • 한국버섯학회지
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    • 제6권1호
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    • pp.20-26
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    • 2008
  • 흰목이버섯 균주와 공생균을 수집하고 ITS 5.8S rDNA sequencing을 하여 유전자 서열을 분석하였다. Gene Bank Data homology search 결과 분리된 균의 rDNA 서열이 이 Tremella fuciformis AF042409의 rDNA 서열과 99% 일치하는 것으로 확인되었다. 그리고 함께 분리된 공생균은 같은 방법으로 Annulohhypoxylon stygium 으로 확인하였다. 분리된 T. fuciformis KG 103과 A. stygium KG 201 균주는 PD배지에서 각각 14 mm/14 days과 85 mm/14 days의 균사생육을 나타내었다. T. fuciformis KG 103 균주의 생육최적온도는 $25^{\circ}C$ (14mm/14days) 이었으며, $35^{\circ}C$ 고온과 $15^{\circ}C$이하 저온에서 균사 생장이 억제되었다. A. stygium KG 201은 흰목이버섯균과 유사한 최적온도를 나타내었다. T. fuciformis KG 103 균의 생육 최적 pH는 5.0이었으며, A. stygium KG 201도 pH 5.0에서 생육이 가장 왕성하였다. 흰목이버섯 종균용 최적 배지로 참나무톱밥 77.5%, 미강 20%, 석고 1.5%, 황백당 1%가 선정되었다. T. fuciformis KG 103과 A. stygium KG 201혼합 종균을 제조하고 흰목이버섯 자실체생산을 위한 병속재배 방법을 확립하였다. 콘코브(Corn cob) (77%와 52%)가 사용한 재료 중 최적의 자실체 성장률을 나타냈으며, 콘코브 함량을 줄일수록 생육이 저조하였다. 면실박과 참나무톱밥은 단독 사용시 생육이 저조하였고, 콘코브를 첨가시 수율이 증대되었다. 최적수분농도는 55%로 결정되었다.

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관광 e-마켓플레이스의 성공전략에 관한 연구 (A Study on Strategy for success of tourism e-marketplace)

  • 홍지환;김근형
    • 한국콘텐츠학회:학술대회논문집
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    • 한국콘텐츠학회 2006년도 추계 종합학술대회 논문집
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    • pp.333-336
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    • 2006
  • e-마켓플레이스는 기업과 기업간의 비지니스 거래를 지원하기 위한 B2B e-Business 시스템의 일종이다. e-마켓플레이스가 활성화된다면 기업간의 거래비용을 절감할 수 있을 뿐만 아니라 판매기회 확대를 도모할 수 있어서 관련 산업의 발전을 기대할 수 있다. 이러한 관점에서 관광산업에서도 e-마켓플레이스의 도입과 활성화가 필요하다. 관광 e-마켓플레이스의 참여자는 여행사, 숙박업체, 운송업체 등 관광관련 기업들이 될 수 있지만 관광객들도 관광 e-마켓플레이스에서 다양한 관광상품을 구입하거나 관광콘텐츠를 검색하기를 원할 것이다. 따라서, 관광 e-마켓플레이스는 기존의 B2B e-Business시스템 특성뿐만 아니라 B2C e-Business 시스템 특성을 동시에 갖고 있어야 한다. 본 논문에서는 관광 e-마켓플레이스의 성공에 영향을 미칠 수 있는 요인들을 파악해보고자 한다. 기존의 B2B e-마켓플레이스의 성공요인과 B2C 관광 웹사이트의 성공 요인들을 분석하여 관광 e-마켓플레이스의 성공영향요인을 설정하고 관광업체 들을 대상으로 설문조사를 실시할 것이다. 수집된 데이터를 로지스틱 회귀분석과 의사 결정나무 분석을 통하여 관광 e-마켓플레이스의 성공을 위한 유의한 시사점을 도출할 것이다.

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