• Title/Summary/Keyword: 군집 특성

Search Result 2,012, Processing Time 0.032 seconds

Toward understanding learning patterns in an open online learning platform using process mining (프로세스 마이닝을 활용한 온라인 교육 오픈 플랫폼 내 학습 패턴 분석 방법 개발)

  • Taeyoung Kim;Hyomin Kim;Minsu Cho
    • Journal of Intelligence and Information Systems
    • /
    • v.29 no.2
    • /
    • pp.285-301
    • /
    • 2023
  • Due to the increasing demand and importance of non-face-to-face education, open online learning platforms are getting interests both domestically and internationally. These platforms exhibit different characteristics from online courses by universities and other educational institutions. In particular, students engaged in these platforms can receive more learner autonomy, and the development of tools to assist learning is required. From the past, researchers have attempted to utilize process mining to understand realistic study behaviors and derive learning patterns. However, it has a deficiency to employ it to the open online learning platforms. Moreover, existing research has primarily focused on the process model perspective, including process model discovery, but lacks a method for the process pattern and instance perspectives. In this study, we propose a method to identify learning patterns within an open online learning platform using process mining techniques. To achieve this, we suggest three different viewpoints, e.g., model-level, variant-level, and instance-level, to comprehend the learning patterns, and various techniques are employed, such as process discovery, conformance checking, autoencoder-based clustering, and predictive approaches. To validate this method, we collected a learning log of machine learning-related courses on a domestic open education platform. The results unveiled a spaghetti-like process model that can be differentiated into a standard learning pattern and three abnormal patterns. Furthermore, as a result of deriving a pattern classification model, our model achieved a high accuracy of 0.86 when predicting the pattern of instances based on the initial 30% of the entire flow. This study contributes to systematically analyze learners' patterns using process mining.

Comparing the Service Coverages of Subways and Buses and Estimating the Walking Distances of Their Users (지하철과 버스의 서비스권역 비교 및 이용자들의 도보거리 추정 - 부산시를 중심으로 -)

  • Kim, Kyung Whan;Lee, Deok Hwan;Choi, Jong Moon;Oh, Il Sung
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.30 no.6D
    • /
    • pp.541-552
    • /
    • 2010
  • The light rail transit (LRT) having bus lines as subsystem is being constructed or planned in the suburban area of metropolitans and medium size cities. However, there is difficulty in establishing the service coverage (SC) of the LRT because the LRT is a completely new transit mode in Korea. The purpose of this study is to provide the basic data and techniques to be used for establishing the SC of the future LRT by understanding the SC characteristics of buses and subways and building models to estimate the walking distances of their users. Busan City is selected as the study city and the SC's of buses and subways are surveyed simultaneously. A total of 9 variables for 82 stations are collected and the cluster analysis is conducted about the variables. The station areas are divided to three types of CBD (Central Business District), sub-CBD and regional center based on the analysis. A station in each area is selected as the study station. At the walking distance (WD) analysis for each mode, the 80 percentile WD of the subway is 672 m and that of the bus is 472 m. In comparing the SC's of both modes by the type of station areas, there are not significant differences between the SC's of sub-CBD and regional center except CBD. At analysis of the relationship between the personal attributes and the WD, for subway users the WD of female is longer than that of male and apartment residents use subway more positively than single house residents do. For the models to estimate the walking distances, the simple regression models were built employing the income as independent variable by dividing the stations into CBD abd non-CBD stations.

Development of Chloroplast Genome-based Insertion/Deletion Markers in the Genus Broussonetia (닥나무 속 식물의 엽록체 유전체 기반 InDel 마커의 개발)

  • Eun Jee Lee;Yoon A Kim;Mi Sun Lee;Ju Hyeok Kim;Young Kyu Choi;Jung Sung Kim;Chang Seob Sin;Yi Lee
    • Korean Journal of Plant Resources
    • /
    • v.36 no.4
    • /
    • pp.290-298
    • /
    • 2023
  • Several members of the genus Broussonetia are woody plants with high-quality cellulose fibers and are used to make a traditional type of Korean paper known as Hanji. Three of these species, Broussonetia kazinoki, Broussonetia monoica, and Broussonetia papyrifera, are found in the Korean Peninsula. Because it is challenging to distinguish different Broussonetia species based on morphology alone, we have developed a set of insertion/deletion (InDel) markers for genetic identification of these species. From twenty-two Broussonetia samples collected throughout Korea, we selected six for next-generation sequencing analysis. InDel marker candidates were identified by comparing this sequence information with the B. kazinoki chloroplast genome sequence. The marker candidates were used to screen the genomes of the twenty-two Broussonetia plants, and five useful chloroplast-based InDel markers were identified. Detailed genotyping using these five markers showed that the twenty-two plants of the genus Broussonetia could be clustered into five groups, verifying that the markers developed here can be used for breeding, identification, and analysis of species in the genus Broussonetia.

Evaluation of Bio-Chemical Restoration Index at the Creation Site of Ecological Environmental Zone in Coastal Area (연안생태환경공간 조성지의 생물-화학적 복원지수 평가)

  • Lee, In-Cheol;Yi, Byung Ho;Park, So Young;Ryu, Cheong Ro
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.28 no.1B
    • /
    • pp.161-168
    • /
    • 2008
  • The ecological environmental zones in coastal area, like tidal flat and salt marsh, were gradually decreased due to large scale of coastal development projects, reclamation and so on. Therefore, the development of artificial tidal flat and salt marsh has been emphasized in coastal area as mitigation concept and studies on related this background has performed. But studies on the quantitative evaluation for degree of restoration were insufficient. In this paper, as a fundamental study for evaluation of restoration on the creation of ecological environmental zones in coastal area, it was conducted that the monitoring and experiment for bio-chemical factors (bio-diversity, population and biomass of macro-benthos, survival ratio of reed, the number of heterotrophic bacteria and physico-chemical characteristics such as COD, IL, TN, TP and pH) using a in-situ pilot plant of tidal flat (Zone. P1) and salt marsh (Zone. P2), which was distinguished by content of dredged soil, in Jinudo, Nakdong estuary. From results of this study, the restoration index (RI), for evaluation concerning degree of restoration on the creation of ecological environmental zones in coastal area, was suggested and quantitative evaluation was performed using a restoration index (RI).

Biodegradation of VOC Mixtures using a Bioactive Foam Reactor I: Reactor Performance (계면활성제 미생물반응기의(혼합 VOCs) 생분해 I: 반응기 거동평가)

  • Shin, Shoung Kyu;Jang, Hyun Sup;Hwang, Sun Jin;Song, Ji Hyeon
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.26 no.6B
    • /
    • pp.689-694
    • /
    • 2006
  • The system performance of a bioactive foam reactor (BFR), that consists of a foam column using a surfactant and a biodegradation basin containing suspended bacteria, was investigated for the treatment of gaseous toluene or a mixture of four volatile organic compounds (VOCs, benzene, toluene, p-xylene, and styrene). Overall, the BFR achieved stable VOC removal efficiencies, indicating that it can be used as a potential alternative over conventional packed-bed biofilters. Furthermore, a dynamic loading test showed that relatively constant removal was maintained at the elevated loading due to a high mass transfer rate in the foam column. However, as the inlet concentration of VOCs increased, a portion of the VOCs mass-transferred to the liquid phase was stripped out from the biodegradation basin, resulting in a decrease in the overall removal efficiency. In the BFR, the removal efficiency of the individual VOC was mainly determined depending on the biodegradation rate (styrene > toluene > benzene > p-xylene), rather than the mass transfer rate. Consequently, increases in the microbial activity and the volume of the basin could improve the overall performance of the BFR system. Further investigation on microbial activity and community dynamics is required for the BFR when subjected to high loadings of VOC mixtures.

Characteristics of the Vegetation Structure of an Abies nephrolepis Forest in the Presence of the Tripterygium regelii Group (미역줄나무 출현에 따른 분비나무림의 식생구조 특성)

  • Ah-Rim Lee;Dong-Bin Shin;Seung-Jae Lee;Jun-Gi Byeon;Jun-Soo Kim;Seung-Hwan Oh
    • Journal of Korean Society of Forest Science
    • /
    • v.112 no.4
    • /
    • pp.405-416
    • /
    • 2023
  • In this study, the sustainability of Abies nephrolepis in the presence of Tripterygium regelii was analyzed. To accomplish this, a field survey of140 stands was conducted. Based on the presence or absence of T. regelii, as well as the layer in which it was present (where appropriate), the type of T. regelii presence wasclassified as follows: TP type, indicating the presence of T. regelii in the tree and sub-tree layers; SP type, indicating its presence in the shrub layer; and A type, indicatingits absence from all layers. The indicator species analysis revealed T. regelii to be an indicator species of the TP type and SP type. The MRPP test was used to examine the differences among the types. Moreover, the seedling and DBH class analysis indicated there to be a difficulty in terms of the status competition, as the number of young trees generated by A. nephrolepis was the lowest in the TP type. The findings of this study enhanced our understanding of the vegetation structure of A. nephrolepis, thereby contributing to efforts concerningits conservation and management.

Identifying Degradation Causes of Endangered Freshwater Fish, Microphysogobio rapidus Using Habitat-Environmental Characteristics (멸종위기 야생생물 I급 여울마자 서식지 환경 특성 파악을 통한 훼손 원인 분석)

  • Ju-Duk Yoon;Keun-Sik Kim;Chang-Deuk Park;Dong-Won Kang;Heung-Heon Lee;Chi-Hong Lim;Nam-Shin Kim
    • Korean Journal of Ecology and Environment
    • /
    • v.56 no.3
    • /
    • pp.229-241
    • /
    • 2023
  • Microphysogobio rapidus is designated as endangered species class I by Ministry of Environment, and its distribution and population have been gradually declining, and it is now limited to the Nam River and some tributary streams of the Nakdong River Watershed. For the restoration of this highly endangered species, it is important to identify the causes of the decline and establish appropriate restoration plans. However, due to lack of basic data and ecological research, most steps are stagnant. Therefore, in this study, we identified the differences in the physical, biological, and sociological habitats between current and past distributed sites through field surveys and literature reviews. As a result of the field survey, there were differences in conductivity between the current and past distributed sites, and fish communities were also showed differences. The literature data also showed that the physico-chemical values of the past distributed sites were generally unfavorable, which generated negative consequences on biological factors. In particular, the effects of urbanization were found to be a major factor affecting the habitat of M. rapidus. Habitat stabilization is crucial for the recovery of this endangered species. However, in the past distributed sites, disturbances such as stream development and weir construction have altered streams physico-chemically and result in changes of M. rapidus. Therefore, a comprehensive plan that considers both stream connectivity and water quality is needed to manage and restore the habitat of M. rapidus.

Changes in Mesozooplankton Community Around the Rainy Season in Asan Bay, Korea (아산만 해역에서 장마기 전후 중형동물플랑크톤 군집의 변화)

  • Lee, Doo-Byoul;Park, Chul;Yang, Sung-Ryull;Shin, Yong-Sik
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
    • /
    • v.12 no.4
    • /
    • pp.337-348
    • /
    • 2007
  • Characteristics in distributions of T, S, nutrients, chlorophyll ${\alpha}$ concentrations and meso-zooplankton abundances and the relations among these parameters were investigated with the data collected in Asan Bay around the rainy season from May 24 till August 25, 2006 at about 10 days interval. Freshwater input during the rainy season clearly affected the distributions of zooplankton and phytoplankton (chlorophyll ${\alpha}$). Freshwater discharge resulted in high nutrients decreased zooplankton abundances. On the contrary, chlorophyll ${\alpha}$ concentrations increased at the end of the rainy season. It seemed that the increase of chlorophyll ${\alpha}$ concentrations was the result of the decreased zooplankton and enriched nutrients caused by freshwater discharges. Seawater temperatures were certainly the reason for the zooplankton succession. However, overall abundance of zooplankton and abundances of some zooplankton such as Noctiluca scintillans, Acartia pacifica, and Sagitta crassa seemed to be influenced by lowered salinity caused by heavy rain rather than seawater temperatures.

Analysis of Policy Trends in Convergence Research and Development Using Unstructured Text Data (비정형 텍스트 데이터를 활용한 융합연구개발의 정책 동향 분석 )

  • Jiye Rhee;JaeEun Shin
    • Knowledge Management Research
    • /
    • v.25 no.2
    • /
    • pp.177-191
    • /
    • 2024
  • This study aims to analyze policy changes over time by conducting a textual analysis of the basic plan for activating convergence research and development. By examining the basic plan for convergence research development, this study looks into changes in convergence research policies and suggests future directions, thereby exploring strategic approaches that can contribute to the advancement of science and technology and societal development in our country. In particular, it sought to understand the policy changes proposed by the basic plan by identifying the relevance and trends of topics over time. Various analytical methods such as TF-IDF analysis, topic modeling (LDA), and network (CONCOR) analysis were used to identify the key topics of each period and grasp the trends in policy changes. The analysis revealed clustering of topics by period and changes in topics, providing directions for the convergence research ecosystem and addressing pressing issues. The results of this study are expected to provide important insights to various stakeholders such as governments, businesses, academia, and research institutions, offering new insights into the changes in policies proposed by previous basic plans from a macroscopic perspective.

An Influence of Artificial Intelligence Attributes on the Adoption Level of Artificial Intelligence-Enabled Products (인공지능 기반 제품 수용 정도에 인공지능 속성이 미치는 영향 연구)

  • Kwonsang Sohn;Kun Woo Yoo;Ohbyung Kwon
    • Information Systems Review
    • /
    • v.21 no.3
    • /
    • pp.111-129
    • /
    • 2019
  • Recently, artificial intelligence (AI)-enabled products and services such as smartphones, smart speakers, chatbots are being released due to advances in AI technology. Thus researchers making effort to reveal that consumers' intention to adopt AI-enabled products. Yet, little is known about the intended adoption of AI-enabled products. Because most of studies has been not consideredthe perceived utility value of consumers for each attribute by classified based on the characteristics of AI-enabled products. Therefore, the purpose of this study is to investigate the difference in importance between attributes that affect the intention to adopt of AI-enabled products. For this, first, identified and classified the attributes of AI-enabled products based on IS Success Model of DeLone and McLean. Second, measured the utility value of each attribute on the adoption of AI-enabled products through conjoint analysis. And we employed construal level theory to see whether there are differences in the relative importance of AI-enabled products attributes depending on the temporal distance. Third, we segmented the market based on the utility value of each respondent through cluster analysis and tried to understand the characteristics and needs of consumers in each segment market. We expect to provide theoretical implications for conceptually structured attributes and factors of AI-enabled products and practical implications for how development efforts of AI-enabled products are needed to reach consumers need for each segment.