• The Journal of Society for e-Business Studies
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• v.18 no.4
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• pp.145-167
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• 2013

This paper proposes a method to compare planned processes with actual processes of bock assembly operations in shipbuilding industry. Process models can be discovered using the process mining techniques both for planned and actual log data. The comparison between planned and actual process is focused in this paper. The analysis procedure consists of five steps : 1) data pre-processing, 2) definition of analysis level, 3) clustering of assembly bocks, 4) discovery of process model per cluster, and 5) comparison between planned and actual processes per cluster. In step 5, it is proposed to compare those processes by the several perspectives such as process model, task, process instance and fitness. For each perspective, we also defined comparison factors. Especially, in the fitness perspective, cross fitness is proposed and analyzed by the quantity of fitness between the discovered process model by own data and the other data(for example, the fitness of planned model to actual data, and the fitness of actual model to planned data). The effectiveness of the proposed methods was verified in a case study using planned data of block assembly planning system (BAPS) and actual data generated from block assembly monitoring system (BAMS) of a top ranked shipbuilding company in Korea.

• Journal of Navigation and Port Research
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• v.30 no.1 s.107
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• pp.35-43
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• 2006

This study suggests strategies to prevent traffic accidents by utilizing impact factors per each cluster and the typical patterns of 81 cities based on the statistical analysis of the data concerning the TCI which was developed from the partnership of the Traffic Safety Authority and the Green Traffic Movement Corporation in 2002 and 2003. The Principal Component Analysis and Cluster Analysis on impact factors and TCI result in 4 components and 4 clusters. Also as the results of Stepwise Multiple Regression Analysis examining the relationship between impact factors and TCI, R2 values of these models show high to all clusters. According to the results, we suggest strategies to prevent traffic accidents per cluster concretely and it is necessary to analyze how effective the invested facilities are in reducing traffic accidents in the future.

• Journal of Korea Technology Innovation Society
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• v.14 no.spc
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• pp.1187-1208
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• 2011

This research aims to propose a systematic approach to identify emerging technology-product portfolio for small and medium enterprises (SMEs). Firstly, operational definition of emerging technology for SMEs is presented. Secondly, research framework is suggested and case study to show usefulness of the newly proposed framwork is analyzed. In detail, reference patent set which represent company's capabilities and business area are constructed. The research constructs patent data set for bibliometric analysis using reference patent set and citing patents to 2nd level. Clustering (expert judgement) and keyword based bibliometric approach are used. Then, cluster activity index (AI) and relevance index (RI) comparing with reference patent set are estimated. With emerging technology-product portfolio using AI and RI, a firm can identify emerging technology-product area and monitoring area.

• Korean Journal of Environmental Agriculture
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• v.37 no.2
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• pp.135-140
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• 2018

BACKGROUND: The Asian hornet (Vespa velutina nigrithorax), a wasp species, has attacked honey bee populations and affected the beekeeping industry in Korea over the past 15 years. However, little research has been done with this invasive species. In this study, we investigated the intestine bacterial microbiota of Asian hornets and honey bees to design an attractive trap for Asian hornets. METHODS AND RESULTS: Genomic DNAs isolated from the intestine microorganisms of Asian hornets and honey bees were utilized to amplify bacterial 16S rDNA for the comparative sequence analysis. The next generation sequencing analysis identified that the orders Flavobacteriales as the most abundant intestinal microorganisms in Asian hornets, showing a clear difference compared to honey bees in which Aeromonadales are dominant. We also report five newly identified 16S rDNA sequences of Asian hornet intestinal bacteria. According to the sequence blast search, these five bacteria belong to the genera Thalassomonas, Caedobacter, Vampirovibrio, Alkaliphilus and Calothrix. CONCLUSION: While Asian hornets and honey bees show similar intestine bacterial diversity, the relative ratio of bacterial populations is different. providing useful information to design pest control agents specifically targeting Asian hornets.

• Journal of Korean Society of Forest Science
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• v.89 no.1
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• pp.93-104
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• 2000

The ecological characteristics of 10 natural stands of Dendropanax morbifera(Haenam, Wando 1, Wando 2, Bogildo, Kemundo and Hongdo and Sendol, Suoak, Hannam, and Kidowon populations in Cheju island) were studied. In most of the Dendropanax morbifera natural stands, the following tree species appeared predominantly : Camellia japonica, Castanopsis cuspidate var. sieboldii, Castanopsis cuspidate var. thunbergii, Carpinus laxiflora, Quercus acute and Eurya japonica. Especially, Camellia japonica and Eurya japonica appeared in all the stands. Dendropanax morbifera occupied 17.2% of the upper story, 12.9% of the middle story, and 10.3% of the lower story, respectively. The distribution patterns by Morisita's Index showed that Dendropanax morbifera was distributed randomly in all of the three stories, i.e. the upper, the middle and the lower stories. Dendropanax morbifera was positively associated with Camellia japonica, Eurya japonica, Carpinus laxiflora, Cinnamomum japonicum, Ligustrum japonicum, Callicarpa Japonica, Castanopsis cuspidate var. thunbergii, Castanopsis cuspidata var. sieboldii, Daphniphyllum macropodum, Acer palmatum and Euonymus oxyphyllus. This might suggest that the ecological niche is similar to each other. The cluster analysis using percent dissimilarity(PD) based on species composition divided into two groups. One group consisted of the populations located along the south-western coasts. The other group consisted of the populations of Cheju island. This result was agree with that of ordination analysis. From these results, We could find out that the species composition of the populations of Dendrapanax morbifera in Cheju island was quite different from those of other regions.

• Korean Journal of Environment and Ecology
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• v.15 no.1
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• pp.39-56
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• 2001

본 연구는 국토의 친환경적 개발을 위한 제도적 장치 중 하나인 환경성검토의 강화방안을 마련하고자 경기도 남양주시 오남면 팔현리 일대의 골프장개발예정자를 대상으로 한 환경성검토서를 분석하였으며, 또한 대상지의 정확한 평가를 위해 현존식생도, 녹지자연도, 군집의 발달기원, 천이단계, 군집의 희소성, 식물의 희소성 판단의 6개 항목을 선정, 적용한 결과 본 대상지는 개발계획읜 축소. 조정항목으로 판단되었다. 친환경적인 개발을 위한 환경성검토 강화방안을 계획적인 측면에서는 적정대상지의 선정과 이식수목의 산정을 제도적인 측면에서 표토보존 및 이용에 관한 법률과 자연훼손보상제도를 제안하였다. 추가조상대상지역(면적: 1.436, DGN 7이 254, 587$\m^2$. DGN7(8)이 207,235$\m^2$ DGN 5가 163,259$\m^2$, DGN 2는 184,129$\m^2$로 나타나 대상지와 추가조사지역 일부를 포함한 적정대상지를 선정하였다. 이식수종은 성상별로 소나무 1종, 낙엽활엽교목 19종, 낙엽활엽아교목 11종, 낙엽관목 30종, 만경목 11종이었고, 이식가능면적은 639,310$\m^2$이었으나, 보존지역을 제외한 실제 이식가능한 지역은 275, 366$\m^2$으로 나타났다. 대상지의 내 이용가능한 표토량은 137.681㎥이었으며, 보존지역 중 불가피한 훼손면적은 43,938$\m^2$로 나타나 이에 상응하는 가치의 습지나 소생물권 등을 조성하여야 할 것이다.

• Journal of the Korean Geographical Society
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• v.31 no.2
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• pp.128-137
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• 1996

한국의 기후학 연구성과는 1958년 발표된 이후 약간의 기복은 있었으나 꾸준히 발 전하여 왔다. 연구성과를 하부 분야별로 보면 기후학 일반(43.5%)이 가장 많았고, 종관기후 학(34.7%), 기후변화(13.0%) 그리고 응용기후학(8.8%)으로 구성되어 있으나 근래에는 응용 기후학 분야에 대한 연구가 서서히 증가하고 있다. 1970년대 이전에는 주로 지상 기후요소 간의 기상자료를 사용하여 상관관계 출현빈도.시계열분석 등으로 전국 규모의 기후특성을 규명한 데 반하여 최근에는 시계열분석과 더불어 군집.주성분.인자분석 등 다변량 분석기 법 등의 통계기법이 많이 활용되고 있다. 초기에는 지상기상자료를 주로 연구에 사용하였는 데 점차 고층기상자료와 인공위성자료를 활용하면서 국지기후 연구와 더불어 기후예측 모델 의 구축단계까지 발달하였다. 그러나 한국기후학이 당면한 문제는 인적자원의 절대적인 빈 곤과 더불어 인접분야에 비하여 연구환경이 열악한 것이다. 즉, 대학에서는 비전공자에 의한 기후학 교육이 빈번하고, 국지기후 연구의 경우는 실측을 요하기도 하는데 자료의 생성 및 분석에 필요한 장비가 절대적으로 부족하다. 따라서 한국의 기후학의 발전을 도모하려면 기 후학자의 배출이 급선무이고, 기후학자는 물론, 대학 및 연구소간의 연구 및 자료 교류 등의 상호협조가 요청된다.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.93-107
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• 2014

In this paper, we report what we have observed with regard to user-perspective issue clustering based on multi-layered two-mode network analysis. This work is significant in the context of data collection by companies about customer needs. Most companies have failed to uncover such needs for products or services properly in terms of demographic data such as age, income levels, and purchase history. Because of excessive reliance on limited internal data, most recommendation systems do not provide decision makers with appropriate business information for current business circumstances. However, part of the problem is the increasing regulation of personal data gathering and privacy. This makes demographic or transaction data collection more difficult, and is a significant hurdle for traditional recommendation approaches because these systems demand a great deal of personal data or transaction logs. Our motivation for presenting this paper to academia is our strong belief, and evidence, that most customers' requirements for products can be effectively and efficiently analyzed from unstructured textual data such as Internet news text. In order to derive users' requirements from textual data obtained online, the proposed approach in this paper attempts to construct double two-mode networks, such as a user-news network and news-issue network, and to integrate these into one quasi-network as the input for issue clustering. One of the contributions of this research is the development of a methodology utilizing enormous amounts of unstructured textual data for user-oriented issue clustering by leveraging existing text mining and social network analysis. In order to build multi-layered two-mode networks of news logs, we need some tools such as text mining and topic analysis. We used not only SAS Enterprise Miner 12.1, which provides a text miner module and cluster module for textual data analysis, but also NetMiner 4 for network visualization and analysis. Our approach for user-perspective issue clustering is composed of six main phases: crawling, topic analysis, access pattern analysis, network merging, network conversion, and clustering. In the first phase, we collect visit logs for news sites by crawler. After gathering unstructured news article data, the topic analysis phase extracts issues from each news article in order to build an article-news network. For simplicity, 100 topics are extracted from 13,652 articles. In the third phase, a user-article network is constructed with access patterns derived from web transaction logs. The double two-mode networks are then merged into a quasi-network of user-issue. Finally, in the user-oriented issue-clustering phase, we classify issues through structural equivalence, and compare these with the clustering results from statistical tools and network analysis. An experiment with a large dataset was performed to build a multi-layer two-mode network. After that, we compared the results of issue clustering from SAS with that of network analysis. The experimental dataset was from a web site ranking site, and the biggest portal site in Korea. The sample dataset contains 150 million transaction logs and 13,652 news articles of 5,000 panels over one year. User-article and article-issue networks are constructed and merged into a user-issue quasi-network using Netminer. Our issue-clustering results applied the Partitioning Around Medoids (PAM) algorithm and Multidimensional Scaling (MDS), and are consistent with the results from SAS clustering. In spite of extensive efforts to provide user information with recommendation systems, most projects are successful only when companies have sufficient data about users and transactions. Our proposed methodology, user-perspective issue clustering, can provide practical support to decision-making in companies because it enhances user-related data from unstructured textual data. To overcome the problem of insufficient data from traditional approaches, our methodology infers customers' real interests by utilizing web transaction logs. In addition, we suggest topic analysis and issue clustering as a practical means of issue identification.

• Korean Journal of Plant Resources
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• v.36 no.5
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• pp.496-507
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• 2023

The in vitro organogenesis is one of important issues in plant embryology, and somaclonal variations are existing in calli and/or regenerants induced from a process of the organogenesis with in vitro circumstances. In this study, expressions of organogenesis-related genes were evaluated and genetic stability of regenerants derived from the process of in vitro organogenesis were measured using ISSR markers in Imperata cylindrica 'Rubra', Poaceae. The expressions of organogenesis-related genes were detected all of regenerants at the process of the organogenesis. All ISSR markers produced with an average of 71 bands per in vitro-cultured regenerants, and the scorable bands were varied from two to eight with an average of 5.14 bands per a primer. The polymorphism rates of the in vitro regenerants were higher than that of mother plants (1.4%), showing 4.1% (pot-cultured regenerants), 4.3% (field-cultured regenerants), 4.2% (in vitro-cultured regenerants), 5.6% (calli with green shoots) and 1.4% (calli), respectively. The genetic similarity matrix (GSM) among all accessions ranged from 0.747 to 1.0 with a mean of 0.868. GSM of the regenerants showed differences (from 0.972 to 1.00) compared with that of mother plants (0.991). According to the clustering analysis, two independent groups were divided into; the one is mother plants and regenerants cultured at room and open field, the other is regenerants cultured in vitro. The results give a new insight for understanding the dynamics of organogenesis in monocot plant.

• Journal of Wetlands Research
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• v.2 no.1
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• pp.95-107
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• 2000

The population dynamics of Salix nipponica and S. koreensis and the sediment factors were investigated in the wetland of the Nam-River. Chinju. Gyongsangnam-do, Korea. Each population of S. nipponica and S. koreensis was divided into four stages during the riverbed sedimentation: the first stage of establishment by S. nipponica, the second stage of coexistence by S, nipponica and S. koreensis, the third stage of dominated by S. koreensis, while S. nipponica was decreased during the increase of the water table in the sediment, and the fourth stage of the climax by S. koreensis, while S. nipponica almost died when the water table was twice to the third stage. Tree height, age, and density of S. nipponica were decreased, while S. koreensis increased along the sedimentation. And the composition of understory species showed no differences in each stage. The water table and the clay content affected on the distribution of Salix spp. in each stage, according to the PCA. The water table and the clay content increased during the sedimentation, while the other factors were almost the same.