• 제목/요약/키워드: Classification Attributes

검색결과 303건 처리시간 0.022초

유전 알고리즘 기반 귀납적 학습 환경을 위한 건설적 귀납법 (Constructive Induction for a GA-based Inductive Learning Environment)

  • 김영준
    • 한국정보통신학회논문지
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    • 제11권3호
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    • pp.619-626
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    • 2007
  • 건설적 귀납법은 사례들이 갖고 있는 속성들에 적합한 연산자를 적용하여 이들 사례들을 좀 더 효율적으로 분류할 수 있는 새로운 속성들을 도출해 내는 기법이다. 본 논문에서는 주어진 사례의 집합으로부터 PROSPECTOR에서 사용한 규칙 형태의 분류 규칙을 습득하는 유전 알고리즘 기반 귀납적 학습 환경을 위한 건설적 귀납법을 제시한다. 속성 결합 연산자와 유도된 속성의 유용성을 평가하기 위한 방법을 중심으로 건설적 귀납법에 대해 자세히 설명하고 다양한 사례 집합을 이용하여 건설적 귀납법이 유전 알고리즘 기반 학습 환경에 미치는 영향을 평가하였다.

Kano모델 기반의 물류 서비스 품질속성 분류와 잠재적 고객요구 개선지수 개발 (Development of Kano model based logistics service quality classification and potential customer Satisfaction Improvement index)

  • 조유진;강경식
    • 대한안전경영과학회지
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    • 제19권4호
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    • pp.221-230
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    • 2017
  • Recently, service quality must reflect several demands of customers who show rapid and various changes so as to be compared with the past. So, objective and rapid methods for them are necessary more. For them, first of all, service company must calculate their standard of service quality accurately by measuring service quality exactly. To measure service quality accurately, this researcher collected and analyzed data by survey for customers who are customers of logistics services, grasped potential satisfaction standard(P) by 5 point Likert scale and one survey for accurate classification of quality attributes through weighted customer satisfaction coefficient changing quality attributes by developing the study on Kano model and Timko's customer satisfaction coefficient, and suggested Potential Customer Satisfaction Improvement index(PCSI) for examining the improvement of customer satisfaction so as to utilize them as an index of differentiated and concrete measurement of service quality.

소셜 네트워크 서비스의 속성 : 분류와 비교 (Attributes of Social Networking Services : A Classification and Comparison)

  • 손정웅;김진기
    • 산업경영시스템학회지
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    • 제41권1호
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    • pp.24-38
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    • 2018
  • Since a social networking service (SNS) isconsidered as an effective means to communicate and interact with customers, companies are trying to utilize SNS effectively. There is a lack of theory relating to the attributes of SNS. This study aims to investigate the attributes of SNS to classify SNS. Based on the social network theory, and previous studies on internet, blog, homepage, communication attributes, this study proposes the seven attributes to classify SNS: interaction, communication, entertainment, information, sharing, intimacy and connection. A pre-test, a pilot test and a main test are conducted. In the main test, 239 SNS users are participated. Through a factor analysis this study verifies the seven attributes of SNS. An analysis of variance with multiple comparisons of $Scheff{\acute{e}}$ method identifies that three attributes, interaction, communication and connection, are found to play significant roles to differentiate SNS. Looking at the overall mean values of the SNS by attribute, interaction, sharing, entertainment, intimacy and communication were relatively high in Facebook. Facebook showed higher values in attributes of interaction, sharing, entertainment, intimacy and communication. Twitter shows the relatively high scores for information and connection. Regarding interaction, Facebook shows higher scores than Twitter and Cyworld. For connection, Cyworld showed a significantly lower score than Twitter and Facebook. Cyworld was separated from the others in the light of communication. Cyworld is relatively weak in communication as it is limited to the message exchanges. The results will help in identifying major attributes for each SNS and classifying SNS.

Classification of Grid Connected Transformerless PV Inverters with a Focus on the Leakage Current Characteristics and Extension of Topology Families

  • Ozkan, Ziya;Hava, Ahmet M.
    • Journal of Power Electronics
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    • 제15권1호
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    • pp.256-267
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    • 2015
  • Grid-connected transformerless photovoltaic (PV) inverters (TPVIs) are increasingly dominating the market due to their higher efficiency, lower cost, lighter weight, and reduced size when compared to their transformer based counterparts. However, due to the lack of galvanic isolation in the low voltage grid interconnections of these inverters, the PV systems become vulnerable to leakage currents flowing through the grounded star point of the distribution transformer, the earth, and the distributed parasitic capacitance of the PV modules. These leakage currents are prohibitive, since they constitute an issue for safety, reliability, protection coordination, electromagnetic compatibility, and module lifetime. This paper investigates a wide range of multi-kW range power rating TPVI topologies and classifies them in terms of their leakage current attributes. This systematic classification places most topologies under a small number of classes with basic leakage current attributes. Thus, understanding and evaluating these topologies becomes an easy task. In addition, based on these observations, new topologies with reduced leakage current characteristics are proposed in this paper. Furthermore, the important efficiency and cost determining characteristics of converters are studied to allow design engineers to include cost and efficiency as deciding factors in selecting a converter topology for PV applications.

Image classification methods applicable multiple satellite imagery

  • Jeong, Jae-Jun;Kim, Kyung-Ok;Lee, Jong-Hun
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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    • pp.81-81
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    • 2002
  • Classification is considered as one of the processes of extracting attributes from satellite imagery and is one of the usual functions in the commercial satellite image processing software. Accuracy of classification plays a key role in deciding the usage of its results. Many tremendous efforts far the higher accuracy have been done in such fields; training area selection, classification algorithm. Our research is one of these effort in different manners. In this research, we conduct classification using multiple satellite image data and evidential approach. We statistically consider the posterior probabilities and certainty in maximum likelihood classification and methodologically Dempster's orthogonal sums. Unfortunately, accuracy for the whole data sets has not assessed yet, but accuracy assessments in training fields and check fields shows accuracy improvement over 10% in overall accuracy and over 0.1 in kappa index.

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LED조명등기구 디자인 개발을 위한 형태적 속성 분석에 관한 연구 (A Study on the Analysis of the Morphological Attributes for the Design Development of LED Lighting Fixtures)

  • 윤봉식;조광수
    • 스마트미디어저널
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    • 제5권4호
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    • pp.103-110
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    • 2016
  • 본 연구는 유사 목적을 가진 제품들을 형태적 특성에 따라 분류하고, 기능적 유사성을 기반으로 범주화하여 전형성 추출함으로써 기구디자인 개발 시, 개발방향의 기준 마련에 목적을 둔다. 전형성 추출을 위한 본 연구의 표본영역은 선험 사례연구와 전문가자문을 통해 팬던트형과 천정부착형으로 제한을 두고, 한국과 일본에 출시된 2015년 12월 이전 출시 제품을 표본으로 국내 주요 6개 도시 관련업무 종사자 및 전공자를 대상으로 조사를 실시하였다. 조사는 형태적 분류를 위한 1차 조사와 전형성 추출에 관한 2차 조사, 형태적 디자인속성 분류에 관한 3차 조사로 이루어졌으며, 기능 및 형태적 분류와 조형원리를 기준으로 디자인 속성을 도출하고 개별 요소를 추출함으로써 디자인 가중치 측정에 대한 향후 연구의 기반을 마련하고자 하였다. 연구결과의 산업적 적용으로 광원 대체로 인한 조명기구 시장변화에 디자인기술의 효율적 역할 정립과 기업의 연구개발 및 조명기구관련 제품디자인 타입 변화 가속화에 신속한 대응방향 제시 효과를 기대할 수 있다.

카노모델에서 품질요소 분류를 위한 퍼지기법 연구 (On Fuzzy Methods to Classify Quality Attributes in Kano Model)

  • 김성준
    • 한국지능시스템학회논문지
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    • 제26권6호
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    • pp.439-444
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    • 2016
  • 품질에 대한 정의는 계속 진화하고 있다. 최근 들어서는 고객관점의 품질을 중시하며 고객의 잠재적 요구를 얼마나 잘 충족시키고 있는가에 대한 관심이 커지고 있다. 카노가 제안한 2차원적 품질의 개념은 고객만족에 중요한 품질속성을 발견하는 데 유용한 프레임워크를 제공하며 제품 및 서비스 개발을 위해 널리 적용되고 있다. 카노모델은 제품 및 서비스 품질요소를 매력적, 일원적, 필수적, 무관심, 그리고 역 품질요소로 구분한다. 그 중 매력적 요소를 발견하는 것은 고객만족의 효과적인 달성에 중요하다. 하지만 카노가 제시한 분류방법은 고객의 애매하고 복잡한 생각을 다루는 데 한계가 있다. 고객응답에는 그 자체로 불확실성과 불완전성이 포함되기 때문이다. 이를 극복하기 위해 본 논문은 퍼지기법을 이용한 품질요소 분류절차를 제시한다. 수치실험 결과, 제안된 방법은 고객의 다양한 반응을 수용하는 데 효과적이며 잠재적 요구를 식별하는 데에도 유용한 것으로 나타났다.

T-Commerce 활성화를 위한 소비자 효용 속성 분석 (Consumer's Utility Attributes Analysis for T-Commerce Activation)

  • 박준용;신민수
    • 한국IT서비스학회지
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    • 제15권2호
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    • pp.21-33
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    • 2016
  • Recently, T-Commerce is emerging to provide new services, with the proliferation of digital broadcasting services. However, T-Commerce market and TV home shopping market are being classified as a legal policy on other markets, such as regulated in the service of live broadcasts. The factor that has inhibited activation T-Commerce related to the lack of appropriate institutions and legal systems in the market, despite the environment with the digital broadcasting service is being spread. We were performed conjoint analysis. For this analysis, we select attributes as a quality attractive factors that significantly affects the satisfaction of TV based shopping customers through previous studies. The results showed that the TV-based shopping customers are important to think 'Responsive', 'Playfulness', 'Live broadcast', 'Convenience' and 'Bidirectional' in the order. The 'Responsive' and 'Live broadcast' of such attributes are served as possible only in TV home shopping, because these attributes don't service due to legal and institutional regulations in T-commerce market. The cluster analysis result also showed that TV shopping consumers are more important to think 'Responsive', 'Playfulness', 'Live broadcast' than 'Convenience' and 'Bidirectional', except one of the classification clusters. If real-time broadcast service is impossible because of the legal and institutional regulations, it seems to require the expansion of the services linked the terrestrial broadcasting to the activating T-Commerce market.

서울시내(市內) 여대생(女大生)의 패션점포(店輔) 애고행동(愛顧行動)에 관(關)한 연구(硏究)(I) - 쇼핑성향(性向)과 점포속성(店鋪屬性)을 중심으로 - (A Study on the Apparel Store Patronage Behavior and Relevant Factors(I) - Focusing on Shopping Orientations of Female College Students and Store Attributes -)

  • 위혜정;정성지
    • 패션비즈니스
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    • 제1권4호
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    • pp.67-78
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    • 1997
  • Fashion store patronage behavior can be observed when consumer's desires and expectations are fulfilled. Thus, in order to achieve successful business in sales, a retailer must continually analyze why target consumers choose particular stores and patronize them. This study identified the relevant factors of the patronage behavior of female college students residing in Seoul. Thus, this study can achieve Its goal of enabling retailers to predict shopping orientations and emphasis on store attributes, so that help retailer to establish new positions of their shops to differentiate them from others and, also, to reposition existing stores. The aims of this study were as follows; First, identify the classification of stores that female college students in Seoul patronize. Second, classify the female students' shopping orientations, emphasizing store attributes, and identify relationships between them and fashion store patronage behavior. Relationships between the factors of shopping orientations and store attributes, and patronage behavior were identified by use of Tukey's test, Duncan test, and ANOVA. As a result, it showed significant differences among patronage groups according to nearly every factor of shopping orientations and store attributes. As based on the results, this study is expected to assist that retailers can establish effective marketing strategies in order to make continuously consumers' partronage behavior of a store.

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점포 이미지에 의한 패션점포의 유형화 (A Study on the Classification of Apparel Stores in Seoul, Korea)

  • 김현숙;이은영
    • 한국의류학회지
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    • 제16권2호
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    • pp.155-168
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    • 1992
  • The purposes of this study were: (1) to identify the image dimensions of apparel stores according to how the consumers rate the importance of store attributes; (2) to classify the apparel stores in Seoul, Korea according to consumers' perception of the image attributes of their preferred store; (3) to develop a positioning map of the apparel stores according to their salient image dimensions; and (4) to classify the female adults in Seoul according to the criteria of their preferred store and to describe the characteristics of target customers according to storetype. 'A questionnaire was developed to measure store patronage, perceived importance of the store image attributes, perception of the store image attributes for the respondent's most frequently patronized store, and demographic information. Data from 520 female adults living in Seoul were analyzed. The results were as follows; 1. The image dimensions of fashion stores were product quality, shopping convenience, location, promotion, atmosphere, product information, design characteristics and price. 2. The apparel stores in Seoul were classified into five groups by the perception of store image, which were labeled as national chain store, designer store, specialty store, wholesale store and independent store, according to their discriminant characteristics. 3. According to the positioning map, product quality and location convenience were identified as the most important apparel store type patronage criteria. 4. The female adult group divided by store preference indicated significant differences in the perceived importance of store attributes. Each group showed multi-store patronage.

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