• 제목/요약/키워드: Mining sites

검색결과 259건 처리시간 0.037초

454 Pyrosequencing Analysis of Bacterial Diversity Revealed by a Comparative Study of Soils from Mining Subsidence and Reclamation Areas

  • Li, Yuanyuan;Chen, Longqian;Wen, Hongyu;Zhou, Tianjian;Zhang, Ting;Gao, Xiali
    • Journal of Microbiology and Biotechnology
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    • 제24권3호
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    • pp.313-323
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    • 2014
  • Significant alteration in the microbial community can occur across reclamation areas suffering subsidence from mining. A reclamation site undergoing fertilization practices and an adjacent coal-excavated subsidence site (sites A and B, respectively) were examined to characterize the bacterial diversity using 454 high-throughput 16S rDNA sequencing. The dominant taxonomic groups in both the sites were Proteobacteria, Acidobacteria, Bacteroidetes, Betaproteobacteria, Actinobacteria, Gammaproteobacteria, Alphaproteobacteria, Deltaproteobacteria, Chloroflexi, and Firmicutes. However, the bacterial communities' abundance, diversity, and composition differed significantly between the sites. Site A presented higher bacterial diversity and more complex community structures than site B. The majority of sequences related to Proteobacteria, Gemmatimonadetes, Chloroflexi, Nitrospirae, Firmicutes, Betaproteobacteria, Deltaproteobacteria, and Anaerolineae were from site A; whereas those related to Actinobacteria, Planctomycetes, Bacteroidetes, Verrucomicrobia, Gammaproteobacteria, Nitriliruptoria, Alphaproteobacteria, and Phycisphaerae originated from site B. The distribution of some bacterial groups and subgroups in the two sites correlated with soil properties and vegetation due to reclamation practice. Site A exhibited enriched bacterial community, soil organic matter (SOM), and total nitrogen (TN), suggesting the presence of relatively diverse microorganisms. SOM and TN were important factors shaping the underlying microbial communities. Furthermore, the specific plant functional group (legumes) was also an important factor influencing soil microbial community composition. Thus, the effectiveness of 454 pyrosequencing in analyzing soil bacterial diversity was validated and an association between land ecological system restoration, mostly mediated by microbial communities, and an improvement in soil properties in coal-mining reclamation areas was suggested.

폐광의 환경친화적 관광자원 개발 방안 (Environmentally Friendly Utilization of the Abandoned Mine Sites As a Recreational Resource)

  • 최용복
    • 환경영향평가
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    • 제10권1호
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    • pp.49-57
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    • 2001
  • With reducing coal mining industry the number of coal mine sites between 1988 and 1998 was dropped from 347 to 12. Since the abandoned coal mine sites have been kept without any cares, they have raised various environmental and safety problems. Then, Korean government initiated a special law in 1995 for enhancing economic conditions and solving environmental problems with promoting developmental projects in the abandoned mining sites. As a result, casino business in Chungsun area has been opened to publics, and other large-scale developments such as ski slopes and resorts are planned. In addition, Boryung area in Chungchung province also will launch a large-scale project building golf courses. Based on this developmental trend, it is expected that lots of large-scale developments in other places will be taken place. In general, the large-scale developments have caused various environmental problems, and, thus, environmental aspects should be considered in a decision-making process. This paper examine the status of the abandoned mine sites in Korea and U.S. and suggests the alternatives of its utilization.

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데이터마이닝을 이용한 동의보감에서 경락의 주치특성 분석 (An Analysis of Indications of Meridians in DongUiBoGam Using Data Mining)

  • 채윤병;류연희;정원모
    • Korean Journal of Acupuncture
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    • 제36권4호
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    • pp.292-299
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    • 2019
  • Objectives : DongUiBoGam is one of the representative medical literatures in Korea. We used text mining methods and analyzed the characteristics of the indications of each meridian in the second chapter of DongUiBoGam, WaeHyeong, which addresses external body elements. We also visualized the relationships between the meridians and the disease sites. Methods : Using the term frequency-inverse document frequency (TF-IDF) method, we quantified values regarding the indications of each meridian according to the frequency of the occurrences of 14 meridians and 14 disease sites. The spatial patterns of the indications of each meridian were visualized on a human body template according to the TF-IDF values. Using hierarchical clustering methods, twelve meridians were clustered into four groups based on the TF-IDF distributions of each meridian. Results : TF-IDF values of each meridian showed different constellation patterns at different disease sites. The spatial patterns of the indications of each meridian were similar to the route of the corresponding meridian. Conclusions : The present study identified spatial patterns between meridians and disease sites. These findings suggest that the constellations of the indications of meridians are primarily associated with the lines of the meridian system. We strongly believe that these findings will further the current understanding of indications of acupoints and meridians.

광산 현장의 스마트 마이닝 기술 수준 진단평가 모델 개발 (Development of Smart Mining Technology Level Diagnostics and Assessment Model for Mining Sites)

  • 박세범;최요순
    • 터널과지하공간
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    • 제32권1호
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    • pp.78-92
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    • 2022
  • 본 연구에서는 스마트 마이닝 기술의 수준을 체계적이고 구조화된 방법으로 평가할 수 있는 스마트 마이닝 기술 수준 진단평가 모델을 제안하였다. 이를 위해 스마트 마이닝의 성숙도를 정의하였으며, 제조업에서 활용되는 스마트 공장 진단평가 모델(KS X 9001-3)을 참조하여 스마트 마이닝 기술 수준 진단평가 모델의 세부평가항목 도출하였다. 기존의 체계를 유지하면서 기존 46개의 세부평가항목을 광업에 적합하도록 수정하였으며 추진전략, 프로세스, 정보시스템과 자동화, 성과 부문에서 총 29개의 세부 평가 항목을 도출하였다. 이를 토대로 스마트 마이닝 기술 수준 진단평가 설문지를 설계하였고, 국내의 철광산을 연구지역으로 설정한 다음 스마트 마이닝 기술 수준을 평가하였다. 연구지역의 스마트화 수준은 레벨 2로 나타났으며, 일반 제조업의 평균 스마트 수준과 비교했을 때 40% 정도 낮은 수준에 있음을 유추할 수 있었다. 또한, 개발된 모델을 이용하여 스마트 마이닝의 도입, 운영, 고도화의 단계별로 광산의 취약한 부분을 인지하고 투자 및 개선 방향을 제시할 수 있었다.

An Enhanced Text Mining Approach using Ensemble Algorithm for Detecting Cyber Bullying

  • Z.Sunitha Bai;Sreelatha Malempati
    • International Journal of Computer Science & Network Security
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    • 제23권5호
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    • pp.1-6
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    • 2023
  • Text mining (TM) is most widely used to process the various unstructured text documents and process the data present in the various domains. The other name for text mining is text classification. This domain is most popular in many domains such as movie reviews, product reviews on various E-commerce websites, sentiment analysis, topic modeling and cyber bullying on social media messages. Cyber-bullying is the type of abusing someone with the insulting language. Personal abusing, sexual harassment, other types of abusing come under cyber-bullying. Several existing systems are developed to detect the bullying words based on their situation in the social networking sites (SNS). SNS becomes platform for bully someone. In this paper, An Enhanced text mining approach is developed by using Ensemble Algorithm (ETMA) to solve several problems in traditional algorithms and improve the accuracy, processing time and quality of the result. ETMA is the algorithm used to analyze the bullying text within the social networking sites (SNS) such as facebook, twitter etc. The ETMA is applied on synthetic dataset collected from various data a source which consists of 5k messages belongs to bullying and non-bullying. The performance is analyzed by showing Precision, Recall, F1-Score and Accuracy.

점진적인 웹 마이닝을 위한 효율적인 후보패턴 저장 트리구조 및 알고리즘 (An Efficient Candidate Pattern Storage Tree Structure and Algorithm for Incremental Web Mining)

  • 강희성;박병준
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 심포지엄 논문집 정보 및 제어부문
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    • pp.3-5
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    • 2006
  • Recent advances in the internet infrastructure have resulted in a large number of huge Web sites and portals worldwide. These Web sites are being visited by various types of users in many different ways. Among all the web page access sequences from different users, some of them occur so frequently that may need an attention from those who are interested. We call them frequent access patterns and access sequences that can be frequent the candidate patterns. Since these candidate patterns play an important role in the incremental Web mining, it is important to efficiently generate, add, delete, and search for them. This thesis presents a novel tree structure that can efficiently store the candidate patterns and a related set of algorithms for generating the tree structure adding new patterns, deleting unnecessary patterns, and searching for the needed ones. The proposed tree structure has a kind of the 3 dimensional link structure and its nodes are layered.

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프로세스 마이닝을 이용한 웹 사이트의 이용 패턴 분석 및 그룹 간 비교 분석 (Usage Pattern Analysis and Comparative Analysis among User Groups of Web Sites Using Process Mining Techniques)

  • 김슬기;정재윤
    • 한국빅데이터학회지
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    • 제2권2호
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    • pp.105-114
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    • 2017
  • 오늘날 많은 서비스 지원이 웹 사이트를 통해 제공되고 있다. 웹 사이트의 이용 및 효율성을 최적화하기 위하여 방문자들의 이용 패턴 분석이 매우 중요하다. 본 연구에서는 BPI Challenge 2016에서 제공하는 웹 사이트 접속 로그를 분석하여 이용 패턴 분석 및 이용자 그룹별 비교 분석 연구를 수행하였다. 이 데이터는 네덜란드 고용보험사(UWV)의 IT 시스템의 웹 사이트 접속 로그를 제공하며, 고객의 인적 정보, 해당 기관의 웹 사이트를 사용할 때의 고객 행동을 설명하는 클릭 데이터 등의 대한 정보를 포함하고 있다. 본 연구에서는 프로세스 마이닝 기법을 이용하여 사용 고객의 사용 패턴과 고객 그룹 간 특징을 분석하여, 궁극적으로 웹 서비스를 이용하는 고객들을 대상으로 서비스 품질을 향상시키고자 한다.

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웹 스크래핑 및 텍스트마이닝에 기반한 중소규모 건설현장 사고유형 분석 (Analysis of accident types at small and medium-sized construction sites based on web scraping and text mining)

  • 윤영근
    • 문화기술의 융합
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    • 제10권1호
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    • pp.609-615
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    • 2024
  • 건설업의 사고사망자 수는 402명으로 전체 산업의 약 46%이다. 이 중 50억원 미만의 건설현장이 약 69%를 차지하고 있어 중소규모 건설현장의 안전관리 강화가 요구된다. 본 연구에서는 웹 스크래핑을 이용하여 19,511건의 사고조사자료를 수집하였다. 수집된 정형 데이터에 대한 통계분석, 비정형 데이터에 대한 텍스트마이닝 분석을 통해 50억원 미만의 현장의 공사금액별 사고유형과 사고원인 분석을 진행하였다. 그 결과 공사금액별로 사고유형과 원인에 차이가 있음이 확인되었다. 본 연구의 결과가 중소규모 건설현장 맞춤형 안전관리에 활용되기를 기대한다.

Analysis of Social Network Service Data to Estimate Tourist Interests in Green Tour Activities

  • Rah, HyungChul;Park, Sungho;Kim, Miok;Cho, Youngbeen;Yoo, Kwan-Hee
    • International Journal of Contents
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    • 제14권3호
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    • pp.27-31
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    • 2018
  • Social network service (SNS) data related to green tourism were used to estimate preferred tour sites and users' interests. Keywords related with green tour activities were employed to search the SNS data. SNS data were collected from Korean blogs such as Naver and Daum from June $1^{st}$ to August $31^{st}$ between 2015 and 2017 using text-mining solution. During the study period, seven hundred and five posts were analyzed. Associated words that frequently co-occurred with keywords were classified into different categories depending on the nature of associated words. Associated words included swimming pools and camping sites (location); experience and swimming pools (attribute); and water play and culture (culture/leisure). Our data suggest that SNS users with experience of green tourism in Korea exhibited interest in green tourism with swimming pools, camping sites, experience, water play and/or culture rather than particular popular sites. Based on the findings, it is recommended that preferred facilities such as swimming pools should be provided at green tourism sites to meet the users' needs and to facilitate green tourism.

다중 에이전트 기반의 고대 국가 형성 시뮬레이션 (The Multi-Agent Simulation of Archaic State Formation)

  • S. Kim;A. Lazar;R.G. Reynolds
    • 한국시뮬레이션학회:학술대회논문집
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    • 한국시뮬레이션학회 2003년도 춘계학술대회논문집
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    • pp.91-100
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    • 2003
  • In this paper we investigate the role that warfare played In the formation of the network of alliances between sites that are associated with the formation of the state in the Valley of Oaxaca, Mexico. A model of state formation proposed by Marcos and Flannery (1996) is used as the basis for an agent-based simulation model. Agents reside in sites and their actions are constrained by knowledge extracted from the Oaxaca Surface Archaeological Survey (Kowalewski 1989). The simulation is run with two different sets of constraint rules for the agents. The first set is based upon the raw data collected in the surface survey. This represents a total of 79 sites and constitutes a minimal level of warfare (raiding) in the Valley. The other site represents the generalization of these constraints to sites with similar locational characteristics. This set corresponds to 987 sites and represents a much more active role for warfare in the Valley. The rules were produced by a data mining technique, Decision Trees, guided by Genetic Algorithms. Simulations were run using the two different rule sets and compared with each other and the archaeological data for the Valley. The results strongly suggest that warfare was a necessary process in the aggregations of resources needed to support the emergence of the state in the Valley.

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