• Title/Summary/Keyword: types classification

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Proposing Collaboration Classification Model considering Collaboration Purpose Recognition (목적인지를 반영한 협업 분류 모델 제안)

  • Ju, Jung Eun;Koo, Sang Hoe
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.10 no.2
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    • pp.203-211
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    • 2014
  • In recent highly competitive business environment, collaboration has become one of the important business strategies for companies to survive and/or prosper. There are many different types of collaboration strategies, and it is crucial for companies to select the right ones according to the types of collaboration they require. To select the right type of collaboration options for business, in the past research, there have been two important criteria to classify collaboration types, namely governance (who makes key decisions - one kingpin participant or all players?) and membership (can anyone participate, or just select players?). In this research, we add a new classification criterion, recognition of collaboration purpose, which means whether collaborators know or do not know the purpose of collaboration in advance. Recently, we see many cases in which social media data are used in many unknown purposes a priori. In this research, we add such cases to develop new classification model.

Fault Types-Classification and Section Discrimination Algorithm using Neuro-Fuzzy in Combined Transmission Lines (뉴로-퍼지를 이용한 혼합송전선로에서의 고장종류 및 고장구간 판별 알고리즘)

  • Kim, Kyoung-Ho;Lee, Jong-Beom
    • Proceedings of the KIEE Conference
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    • 2003.07a
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    • pp.534-536
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    • 2003
  • It is important to classily fault types and discriminate fault section by any detecting technique for combined transmission lines. This paper proposes the technique to classify the fault types and fault section using neuro-fuzzy systems. Neuro-fuzzy systems are composed of two parts to perform different works. First, neuro-fuzzy system for fault type classification is performed with approximation coefficient of currents obtained by wavelet transform. Another neuro-fuzzy system discriminates the fault section between overhead and underground with detail coefficients of voltage and current. In this paper, neuro-fuzzy system shows the excellent results for classification of fault types and discrimination of fault section.

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Fault Types-Classification, Section Discrimination and location Algorithm using Neuro-Fuzzy in Combined Transmission Lines (뉴로-퍼지를 이용한 혼합송전선로에서의 고장종류, 고장구간 및 고장점 추정 알고리즘)

  • Kim, Kyoung-Ho;Lee, Jong-Beom
    • Proceedings of the KIEE Conference
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    • 2003.11a
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    • pp.412-415
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    • 2003
  • It is important to classily fault types, discriminate fault section and calculate the fault location by any detecting technique for combined transmission lines. This paper proposes the technique to classily the fault types and fault section using neuro-fuzzy systems. Neuro-fuzzy systems are composed of three parts to perform different works. First, neuro-fuzzy system for fault type classification is performed with approximation coefficient of currents obtained by wavelet transform. The second neuro-fuzzy system discriminates the fault section between overhead and underground with detail coefficients of voltage and current. The last neuro-fuzzy system calculates the fault location with impedance in this paper, neuro-furry system shows the excellent results for classification of fault types and discrimination of fault section.

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Municipal waste classification system design based on Faster-RCNN and YoloV4 mixed model

  • Liu, Gan;Lee, Sang-Hyun
    • International Journal of Advanced Culture Technology
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    • v.9 no.3
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    • pp.305-314
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    • 2021
  • Currently, due to COVID-19, household waste has a lot of impact on the environment due to packaging of food delivery. In this paper, we design and implement Faster-RCNN, SSD, and YOLOv4 models for municipal waste detection and classification. The data set explores two types of plastics, which account for a large proportion of household waste, and the types of aluminum cans. To classify the plastic type and the aluminum can type, 1,083 aluminum can types and 1,003 plastic types were studied. In addition, in order to increase the accuracy, we compare and evaluate the loss value and the accuracy value for the detection of municipal waste classification using Faster-RCNN, SDD, and YoloV4 three models. As a final result of this paper, the average precision value of the SSD model is 99.99%, the average precision value of plastics is 97.65%, and the mAP value is 99.78%, which is the best result.

An Improvement of Mathematical Classification Method of Wallpapers and Its Application (벽지의 수학적 분류 방법의 개선 및 활용)

  • Shin, Hyunyong;Han, Inki;Na, Junyoung
    • East Asian mathematical journal
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    • v.33 no.2
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    • pp.123-147
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    • 2017
  • This paper discusses and searches for mathematical analysis and efficient algorithm for types of wallpapers. We study some previous classification methods, develop a systematic process, and present some examples of determining types of wallpaper through our algorithm. Through this approach, we expect to introduce a mathematical perspective on relation between real life and mathematics.

The New Criterion of Classification System for Data Linkage (자료 연계성을 고려한 차종 분류 기준의 제시)

  • Kim, Yun-Seob;Oh, Ju-Sam;Kim, Hyun-Seok
    • International Journal of Highway Engineering
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    • v.7 no.4 s.26
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    • pp.57-68
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    • 2005
  • Vehicle classification system in Korea is operated by two different types depending on operating purpose and place. 8-category classification system operates in Expressway and Provincial road, and 11-category classification system operates in National highway. These different operations decrease the efficiency of practical use of gathering data. Therefore, this study proposes new-modified vehicle classification system for solving this problem. For classification, this study not only focuses on mechanic survey system which is based on vehicle specs, it's also focuses on the applicability of roadside survey. This proposed classification system considers the tendency to vary of vehicle types, and the compatibility with the other classification systems. This system might be the most suitable system for our present situation.

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Character Analysis Method based on the Value Type of the Human (인간 가치 유형에 기반한 캐릭터 분석 방법론 제안)

  • Song, Minho
    • The Journal of the Korea Contents Association
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    • v.17 no.9
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    • pp.650-660
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    • 2017
  • This study is to suggest a new method of analyzing personality types of characters in narrative. First, we examined the history of the taxonomy of character types that existed in narrative theories so far. Until now, the classification of character types in narrative theory consisted largely of a formal classification based on roles in narrative, a content classification based on human internal qualities, and a complementary classification in which the two classification criteria are united. The problem with the existing character classification type is difficult to categorize it in spite of the usefulness of the content classification based on human internal qualities. On the other hand, the classification based on the role of the character in the narrative does not help as much as a practical analysis methodology because the classification is formal. In this study, we try to solve this problem by introducing Shalom Schwartz's human value type, and to make human character's value type and human role correlated with each other as a new character analysis methodology. Schwartz's study of value type is a very effective method to grasp the motivation of human behavior, and it seems to be very meaningful in analyzing the directivity of characters.

Biotope-Type Classification Considering Urban Ecosystem Structure (도시생태계 구조를 고려한 비오톱 유형 구분)

  • Kim Jeong-Ho;Han Bong-Ho
    • Journal of the Korean Institute of Landscape Architecture
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    • v.34 no.2 s.115
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    • pp.1-17
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    • 2006
  • The purpose of this study was to analyze biotope types of urban land-use patterns. Forest areas were considered according to vegetation type and potential for succession. Urban ecosystem structure was analyzed according to land use, land coverage, vegetation structure (actual vegetation, diameter at breast height, layer structure, and revetment). As a results of the classification, the biotopes were divided into 71 types according to the urban ecosystem structure. In the case of the Hanam province, the biotopes were divided into 51 types: 26 forest types; 5 swampy and grass land types; 3 farm land types; 3 types of planted land, and 8 types of urbanization.

Macrotidal Beach Classifications Considering Beach Profiles and Changes: The Case of Beaches in Taean Region (2017-2018) (지형형태와 변화를 반영한 대조차 해빈 분류: 태안지역 해빈을 사례로(2017-2018))

  • Kim, Chan Woong
    • Journal of The Geomorphological Association of Korea
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    • v.26 no.4
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    • pp.47-65
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    • 2019
  • A case study was conducted in Taean region to seek a more detailed macrotidal beach classification than existing beach classification models (Masselink and Short, 1993). Seepage and ridge & runnel were used for classification. On 20 beaches, 68 transects were surveyed 5 times using VRS-GPS. Cross-section area from the transect profiles, mean grain size from sediment analysis, significant wave height from Swan-wave modeling and beach embaymentization from aerial photograph analysis were used to identify the characteristics of the individual types. The transects were classified into 5 types in Taean region; Type 1: low tidal terrace, Type 2: low tidal terrace & ridge, Type 3: dissipative, Type 4: seasonal ridge, and Type 5: ridge & runnel. Generally, seepage was related to coarse sediment size and ridge & runnel was related to high significant wave height. Each type has different characteristics and there was a tendency between the types. The low tidal terrace type had coarse sediments, because this type is excluded from the littoral cell. In this study, the ridge and runnel type could be applied to the classification because the study area is limited only to the macrotidal environment in Taean region.

Habitat Type Classification System of Korean National Parks (국립공원 서식지 유형 분류 체계 구축)

  • Kim, Jeong Eun;Rho, Paik Ho;Lee, Jung Yun;Cho, Hyung Jin;Jin, Seung Nam;Choi, Jin Woo;Myeong, Hyeon Ho
    • Ecology and Resilient Infrastructure
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    • v.8 no.2
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    • pp.97-111
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    • 2021
  • This study was conducted to develop a habitat type classification system and its map based on the ecological characteristics of species, spatial type, vegetation, topography, and geological conditions preferred by species. To evaluate the relationships between species and their habitats in Korean national parks, we prepared a classification standard table for systematic classification of habitat types. This classification system divides habitats into 6 low-level and 59 mid-level ecological classes based on habitat structure. The mid-level system divided forest ecosystems into 20 subtypes, stream and wetland ecosystems into 8 types, coastal ecosystems into 7 types, arable land into 6 types, development land into 9 types, and 1 type of marine ecosystem. A habitat classification map was drawn utilizing square images, detailed vegetation maps, and forest stand maps, based on the above habitat classification system, and it covered 1,461 plots spanning 21 national parks. The habitat classification system and survey protocol, which consider domestic habitat conditions, should be further developed and applied to habitat assessment, to enhance the utility of this study.