• Title/Summary/Keyword: 산업군분류

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A Flora of Vascular Plants of Seondalsan Mountain (Bonghwa-gun, Gyeongsangbuk-do) (선달산(경상북도 봉화군) 일대의 관속식물상)

  • AN, Min Woo;Jeong, Seon;Kim, Jae Young;Jo, Hyeong Jun;Heo, Tae Im;Lee, Hye Jeong;Seo, Eul Won;Chung, Gyu Young
    • Korean Journal of Plant Resources
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    • v.35 no.2
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    • pp.289-316
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    • 2022
  • This study was investigated to elucidate the distribution of vascular plants and their usefulness of Seondalsan Mountain (1,236 m) in Bonghwa-gun, Gyeongsangbuk-do. The surveys were carried out 20 times from April in 2014 to October in 2020. The vascular plants of Seondalsan Mountain was consisted a total of 638 taxa based on the voucher specimens; 96 families, 341 genera, 562 species, 18 subspecies, 53 varieties, 5 forms. 20 taxa of the Korean endemic plants were recorded and 1 taxa of Critically Endangered (CR), 3 taxa of Vulnerable (VU) and 9 taxa of Least Concern (LC), designated by Korean Forest Service as rare plants, were investigated in this region. Furthermore, V, IV and III degrees of floristic regional indicator plants, designated by the National Institute of Ecology, were included 1 taxa, 11 taxa and 28 taxa, respectively. Among them, edible, medicinal, fragrant, industrial, ornamental, ecological restoration, forage/compost plants were included 440 taxa, 505 taxa, 19 taxa, 234 taxa, 335 taxa, 214 taxa and 269 taxa respectively. In addition, 30 taxa of naturalized plants were observed.

A Study on the Standardization of the Part Code System to maintain the Urban Railway Vehicle (도시철도차량 유지보수를 위한 부품코드채계 표준화 연구)

  • Park KJ;Ahn TK;Lee HY;Kim GD;Han SY
    • Proceedings of the KSR Conference
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    • 2003.05a
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    • pp.151-158
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    • 2003
  • 현재 각 도시철도 운영기관이 사용하고 있는 부품코드체계는 구 정부물품 분류체계 11자리를 수요한 코드체계로의 군, 급의 2단계 분류로 구성되어 있어, 분류단계의 제약이 존재할 뿐만 아니라 분류체계의 구조적 문제로 군, 급, 품명의 빈번한 통합, 삭제에 따른 코드 관리의 어려움이 존재하고 있다. 또한, 사용자가 원하는 물품을 해당 분류체계로 찾아가기 위한 그룹별 탐색과 통계적 분석이 불가능한 실정이다. 이러한 분류체계의 문제점과 향후 차종의 노후화로 발생될 관리품목의 증가로 업무능률 저하가 예상되기 때문에 새로운 체계의 표준화된 부품코드체계가 절실히 필요한 실정이다. 본 논문은 산업 발전에 따르는 확장성과 세분화에 대한 분류구조의 탄력성을 가지고 객관적으로 분류 추가 및 변경이 가능하도록 하고, 정부 및 국제기관 표준권고안과 호환성을 가질 수 있는 표준 부품코드체계를 제정하기 위한 연구결과이다.

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A Study on the Classification of Next Generation Contents Convergence Industry (차세대 융합형 콘텐츠 산업 분류체계에 관한 연구)

  • Kil, Jin-Ho;Shin, Minsoo
    • Journal of Digital Contents Society
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    • v.14 no.1
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    • pp.97-109
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    • 2013
  • Recently the value and importance of contents industry is rapidly increasing. In particular, consumption on contents convergence integrating contents and new technologies is being increased as smart devices become popular. Next generation contents convergence industry is being recognized as a new engine for national economic development. However there is no concrete framework defining next generation contents convergence industry. This fact brings about serious problems in defining the scope of the industry. To develop effectively new industry, there is a strong need to define types of contents convergence based on dominant factors leading content convergence trend while shedding light on contents, technologies and industry. To define classification of next generation contents convergence indudstry, this study analyzes attributes of contents convergence and carries out conjoint analysis. Based on the attributes found from conjoint analysis, the study suggests new classification scheme of contents convergence industry.

Flora of Wonju-Hoengseong Area (원주.횡성 지역의 식물상)

  • Ko, Sung-Chul;Son, Dong-Chan;Kim, Hyun-Jong;Hwang, Hee-Suk;Shin, Young-Hwa
    • Korean Journal of Plant Resources
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    • v.22 no.5
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    • pp.365-380
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    • 2009
  • Flora of vascular plants in mountains located at Wonju-si and Hoengseong-gun areas such as Chiak-san(1,288m), Taegi-san(1,261.4m), Obong-san(1,126.2m), Eungbong-san(1,094.9m), Eodab-san(789.4m), Deokgo-san(521.2m), Deokga-san(700.5m) and Seongji-bong(791m) was investigated from April, 2008 to May, 2009, and results from the previous researches in which voucher specimens had been presented from Balgyo-san(998.4m), Oeum-san(930.4m), Baekun-san(1,037.1m) and Chiak-san(1,288m) were included in the list of vascular plants from these areas. This investigations resulted in 804 taxa consisted of 680 species, 1 subspecies, 111 varieties, and 12 forms of 383 genera under 97 families, and totally in 973 taxa (21.14% of all vascular plants in Korea) of 818 species, 1 subspecies, 138 varieties and 16 forms of 418 genera under 105 families on addition of voucher specimens in the previous researches. Forests of the investigated areas were generally mixed of Pinus densiflora and deciduous trees. The areas with comparatively excellent vegetation were valley from Guryong-sa (temple) to Biro-bong (summit) via Seryeom-pokpo (fall) in Mt. Chiak-san, and Keunseong-gol (valley) and eastern slope from Taegibungyo-teo to Naksu-dae (fall) in Mt. Taegi-san. 10 families with abundantly collected species were Compositae, Graminae, Rosaceae, Ranunculaceae, Leguminosae, Cyperaceae, Liliaceae, Saxifragaceae, Umbelliferae and Labiatae in order, and they occuied 49.12% of all collected taxa. Endemic plants found in these areas were 38 taxa including Hanabusaya asiatica, Megaleranthis saniculifolia, and Pyrus ussuriensis var. diamantica, and rare and endangered ones were 24 taxa including Hanabusaya asiatica, Viola websteri, Viola diamantica, and Patrina saniculaefolia. Specially designated plants by the Ministry of Environment were 88 taxa including 12 taxa of 5th degree such as Woodsia intermedia, Hanabusaya asiatica, Equisetum pratense, Iris koreana, Lilium cernum, Trillium tschonoskii, Magnolia kobus(cultivated), Gastrodia elata, Polypodium virginianum, Cimicifuga heracleifolia, Megaleranthis saniculifolia and Viola websteri. 47 taxa of alien plants were found. As to 609 taxa (13.23% of all vascular plants in Korea) of useful plants, 334 taxa for the edible, 269 taxa for the medicinal, 127 taxa for the ornamental, 332 taxa for the forage, 3 taxa for the industrial raw material, 31 taxa for the timber and 13 taxa for the fiber were classified, respectively.

Flora of Uiryeng Area - Mainly based on Mt. Jagul-san, Mt. 676 Highland, Mt. Byeokhwa-san, Mt. Bangeo-san - (의령 지역의 식물상 - 자굴산, 676고지, 벽화산, 방어산을 중심으로 -)

  • Hwang, Hee-Suk;Shin, Young-Hwa;Ko, Sung-Chul
    • Korean Journal of Plant Resources
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    • v.24 no.1
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    • pp.76-88
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    • 2011
  • The flora of vascular plants in the mountains located in the Uiryeong-gun area, in the South province of the Korean Peninsula, such as Jagul-san(897.1 m), 676 Highland(676 m), Byeokhwa-san(522 m), and the Bangeo-san(530.4 m), was investigated between April 2008 and August 2009. These investigations found 580 taxa consisting of 496 species, 1 subspecies, 77 varieties, and 6 forms, found within 319 genera under 103 families. The count totaled at 744 taxa(16.2% of all vascular plant taxa in Korea), which was made up of 648 species, 3 subspecies, 81 varieties, and 12 forms, found within of 362 genera under 109 families, when voucher specimens from the previous research studies were added. Forests of the investigated areas were generally composed of mixed Pinus densiflora and Quercus sp. The areas with comparatively excellent vegetation were the valley neighboring Baekun-sa(temple) (in the eastern slope of Mt. Jagul-san), the southwest slope of Mt. 676 Highland, the eastern slope of Mt. Byeokhwa-san, and the northern slope of Mt. Bangeo-san. 10 families were collected in abundance: Compositae, Graminae, Leguminosae, Liliaceae, Rosaceae, Cyperaceae, Labiatae, Polygonaceae, Ranunculaceae, and Violaceae these families made up 50% of all collected taxa. 19 taxa were endemic to the area, including Salix hallaisanensis H.Lev, S. koriyanagi Kimura, Aconitum austrokoreense Koidz, A. pseudolaeve Nakai, Clematis trichotoma Nakai, Thalictrum uchiyamai Nakai, Stewartia pseudocamellia Maxim, Philadelphus schrenkii Rupr., Lespedeza ${\times}$ robusta Nakai, Vicia chosenensis Ohwi, Euonymus trapococca Nakai, and Angelica cartilagino-marginata var. distans(Nakai) Kitag. Eight of the taxa were rare and endangered plants, as designated by the Korea Forest Service, including Jeffersonia dubia(Maxim.) Baker & S. Moore and Viola diamantiaca Nakai. 38 taxa of alien plants were found. Vegetation of the surveyed areas falls in the South province of the Korean Peninsula. Of all the taxa collected, 463 taxa(10.06% of all vascular plants in Korea) are considered useful plants, 231 taxa are edible, 193 taxa have medicinal uses, 65 taxa are used ornamentally, 234 taxa are important forage, 3 taxa are used as an industrial raw material, 17 taxa are used for timber, 18 taxa contain useful dyes, and 7 taxa are used for fiber.

The vegetation analysis of Northern region at Jungnang riverside - Between two bridges of Wallgae 1 and Sangdo - (서울시 중랑천 북부구간 하천변 식생과 식물상 분석 - 월계1교에서 상도교 구간을 대상으로 -)

  • Lee, Sanghwa;Lee, Kyunghee;Jeong, Jongcheol
    • Journal of Environmental Impact Assessment
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    • v.23 no.4
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    • pp.315-322
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    • 2014
  • After the modern industrial revolution, rivers in cities became covered and disappeared due to the pressure to develop them. Likewise, their function which is to serve as the basis of natural ecology system in the cities began to be damaged. This research demonstrated that there are a total of 268 categories when it comes to the list of plants, including 64 families, 179 genera, 230 species, 36 varieties, and 1 subspecies. When the relative abundance of the plants that were found at the target research site was studied, the secondary survey demonstrated Bromus japonicus 22.97, Artemisia princeps var. orientalis 16.76 and Erigeron annuus 15.69 while third survey demonstrated Digitaria ciliaris 26.78, Ambrosia trifida 16.29 and Aster pilosus 14.31. There were 54 species of naturalized plants that appeared. Analysis demonstrated annual plant 23 classification category (43%), perennial 11 classification category (20%), multi-perennation 17 classification category (31%), woody plant 3 classification category (6%) and others. When the naturalized plants that were found at the target research site were analyzed by the place of origin, North America and EU took up 76%, which accounts for 3/4 of the all the naturalized plants. At the target research site, naturalization degree of 5 pertained to 22 classification category (41%), which was the highest, followed by 19 classification category (35%) with naturalization degree of 3, 8 classification category (15%) with naturalization degree of 2 and 5 classification category (9%) with naturalization degree of 4 in the order mentioned. Flora of Jungnangcheon did not manifest any change compared to 10 years ago. Thus, it is necessary to increase of biodiversity efforts to improve SeoulCity's natural environment and cityscape.

Flora of Western part in Korea Civilian Control Zone (CCZ). (서부 민통선 일원의 관속식물상)

  • Kim, Kyoung-Hoon;Kang, Shin-Ho
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2019.04a
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    • pp.31-31
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    • 2019
  • 서부 민통지역은 육군 제 1사단, 육군 제 25사단, 육군 제 28사단 관할지역에 걸쳐있다. 경기도 파주시 민통지역은 육군 제1사단 관할지역으로 장단면, 군내면, 진동면을 포함한다. 연천군 반정리는 육군 제 25사단 관할 지역 내에 있다. 본 조사에서는 장단면 일대와 군내면 정자리 덕진산성, 진동면 동파리 일월봉, 임진강변, 수내천, 세월천을 중심으로 세 개 면과 연천군 장남면 반정리의 식물상을 조사하여, 서부 민통지역의 주요 식물들의 분포를 자세히 파악하고자 하였다. 2012년 4월부터 2018년 10월까지 조사를 통해 463점의 표본을 확보하였고, 총 96과 307속 415종, 3아종, 45변종 6품종의 469분류군이 확인되었다. 조사 시기 중 멸종위기종은 발견되지 않았으며, 우리나라 특산식물로는 고려엉겅퀴, 벌개미취, 키버들 등 7분류군이 확인 되었다. 식물구계학적 특정종으로는 Ⅴ등급 통발을 비롯, IV등급 8종, III등급 11종, II등급 11종, I등급 16종이 발견되었다. 서부 민통지역에서 확인된 외래 및 귀화식물은 단풍잎돼지풀을 포함한 35분류군으로 전체 식물의 7.5%에 해당한다. 최근 무분별한 개발로 인한 민통지역 자연자원의 보전대책 수립도 요구된다.

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Online news-based stock price forecasting considering homogeneity in the industrial sector (산업군 내 동질성을 고려한 온라인 뉴스 기반 주가예측)

  • Seong, Nohyoon;Nam, Kihwan
    • Journal of Intelligence and Information Systems
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    • v.24 no.2
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    • pp.1-19
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    • 2018
  • Since stock movements forecasting is an important issue both academically and practically, studies related to stock price prediction have been actively conducted. The stock price forecasting research is classified into structured data and unstructured data, and it is divided into technical analysis, fundamental analysis and media effect analysis in detail. In the big data era, research on stock price prediction combining big data is actively underway. Based on a large number of data, stock prediction research mainly focuses on machine learning techniques. Especially, research methods that combine the effects of media are attracting attention recently, among which researches that analyze online news and utilize online news to forecast stock prices are becoming main. Previous studies predicting stock prices through online news are mostly sentiment analysis of news, making different corpus for each company, and making a dictionary that predicts stock prices by recording responses according to the past stock price. Therefore, existing studies have examined the impact of online news on individual companies. For example, stock movements of Samsung Electronics are predicted with only online news of Samsung Electronics. In addition, a method of considering influences among highly relevant companies has also been studied recently. For example, stock movements of Samsung Electronics are predicted with news of Samsung Electronics and a highly related company like LG Electronics.These previous studies examine the effects of news of industrial sector with homogeneity on the individual company. In the previous studies, homogeneous industries are classified according to the Global Industrial Classification Standard. In other words, the existing studies were analyzed under the assumption that industries divided into Global Industrial Classification Standard have homogeneity. However, existing studies have limitations in that they do not take into account influential companies with high relevance or reflect the existence of heterogeneity within the same Global Industrial Classification Standard sectors. As a result of our examining the various sectors, it can be seen that there are sectors that show the industrial sectors are not a homogeneous group. To overcome these limitations of existing studies that do not reflect heterogeneity, our study suggests a methodology that reflects the heterogeneous effects of the industrial sector that affect the stock price by applying k-means clustering. Multiple Kernel Learning is mainly used to integrate data with various characteristics. Multiple Kernel Learning has several kernels, each of which receives and predicts different data. To incorporate effects of target firm and its relevant firms simultaneously, we used Multiple Kernel Learning. Each kernel was assigned to predict stock prices with variables of financial news of the industrial group divided by the target firm, K-means cluster analysis. In order to prove that the suggested methodology is appropriate, experiments were conducted through three years of online news and stock prices. The results of this study are as follows. (1) We confirmed that the information of the industrial sectors related to target company also contains meaningful information to predict stock movements of target company and confirmed that machine learning algorithm has better predictive power when considering the news of the relevant companies and target company's news together. (2) It is important to predict stock movements with varying number of clusters according to the level of homogeneity in the industrial sector. In other words, when stock prices are homogeneous in industrial sectors, it is important to use relational effect at the level of industry group without analyzing clusters or to use it in small number of clusters. When the stock price is heterogeneous in industry group, it is important to cluster them into groups. This study has a contribution that we testified firms classified as Global Industrial Classification Standard have heterogeneity and suggested it is necessary to define the relevance through machine learning and statistical analysis methodology rather than simply defining it in the Global Industrial Classification Standard. It has also contribution that we proved the efficiency of the prediction model reflecting heterogeneity.

지적재산권 정보에 근거한 산업간 기술연관관계분석 : 부품소재산업 중심의 사례

  • 주시형;이정동;박찬수
    • Proceedings of the Technology Innovation Conference
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    • 2003.06a
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    • pp.57-71
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    • 2003
  • 기술기반사회로의 진화가 빠르게 진행되면서 경제성장에 있어 기술혁신의 중요성이 깊이 인식되어왔다. 그러나 혁신과 관련한 의사결정이 시장에만 맡겨질 경우 종종 시장실패가 일어나기 때문에 다양한 기술 혁신지원정책을 통해 공공이 개입하고 있는 실정이다. 공공의 기술혁신 지원정책이 수립, 시행되는데 있어 가장 중요한 근거는 경제적, 기술적 파급효과이며, 이에 근거할 때 공공차원의 선택과 집중이라는 문제도 합리성을 갖게 된다. 파급효과를 분석하기 위해서는 산업간 기술연관관계분석이 필수적으로 선행되어야 하며, 이와 관련하여 다수의 국내외 연구가 진행되어 왔다. 본 연구에서는 HS코드를 이용하여 산업별로 주 생산물 관련 키워드를 직접 생성하고, 특허 및 실용신안 등 지적재산권에 활용된 키워드 및 분류정보와 일치시킴으로서 지적재산권의 산업간 공유여부를 파악하는 메카니즘을 제안하고자 한다. 제안된 메카니즘을 제조업 세세분류(five-digit level)에 적용함으로서 세세분류산업간 연관관계를 제시하였다. 분석의 결과로서 부품소재산업을 중심으로 살펴볼 때 부품소재산업군과 여타산업군이 기술적으로 분절되어 있음을 확인하였다. 이 결과는 부품소재산업에서의 혁신은 부품소재산업군내에서 (비체화) 기술적 파급효과(disembodied technological spillover)를, 그리고 부품소재산업에서부터 여타 산업으로 (체화) 경제적 파급효과(embodied economic spillover)를 유발한다는 점을 시사하고 있다.

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