• 제목/요약/키워드: Set Association

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The Effect of Inclusion versus Exclusion on Consideration Set Size: The Moderating Role of Chronic Indecisiveness

  • Lee, Sarah Heeju;Park, Se-Bum
    • Asia Marketing Journal
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    • 제21권1호
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    • pp.45-64
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    • 2019
  • A great deal of research has explored individuals' attempts to simplify choices by constructing a consideration set. This research aims to investigate which construction strategy, either inclusion or exclusion, is more likely to be adopted and how the adoption of a particular construction strategy can affect consideration set size while identifying the moderating role of chronic indecisiveness in the construction process. The findings of Study 1 indicate that individuals are more likely to adopt an inclusion strategy to reduce a consideration set to a more manageable size, and that an exclusion strategy results in a larger consideration set. In Study 2, the findings reveal that high-indecisiveness individuals are less likely than low-indecisiveness individuals to select an inclusion strategy, but that high-indecisiveness individuals adopting an inclusion strategy are able to reduce the number of alternatives in a consideration set to a manageable size on par with the size of a consideration set formed by low-indecisiveness individuals without elevating the level of perceived difficulty. The current research contributes to the stream of research on consideration set construction and indecisiveness, and offers useful practical implications for overcoming indecisiveness. Limitations and avenues for further research are also discussed.

Gene-set based genome-wide association analysis for the speed of sound in two skeletal sites of Korean women

  • Kwon, Ji-Sun;Kim, Sangsoo
    • BMB Reports
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    • 제47권6호
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    • pp.348-353
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    • 2014
  • The speed of sound (SOS) value is an indicator of bone mineral density (BMD). Previous genome-wide association (GWA) studies have identified a number of genes, whose variations may affect BMD levels. However, their biological implications have been elusive. We re-analyzed the GWA study dataset for the SOS values in skeletal sites of 4,659 Korean women, using a gene-set analysis software, GSA-SNP. We identified 10 common representative GO terms, and 17 candidate genes between these two traits (PGS < 0.05). Implication of these GO terms and genes in the bone mechanism is well supported by the literature survey. Interestingly, the significance levels of some member genes were inversely related, in several gene-sets that were shared between two skeletal sites. This implies that biological process, rather than SNP or gene, is the substantial unit of genetic association for SOS in bone. In conclusion, our findings may provide new insights into the biological mechanisms for BMD.

소비자 구매행동 예측을 위한 이질적인 모형들의 통합

  • 배재권;김진화
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2007년도 추계학술대회
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    • pp.489-498
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    • 2007
  • For better predictions and classifications in customer recommendation, this study proposes an integrative model that efficiently combines the currently-in-use statistical and artificial intelligence models. In particular, by integrating the models such as Association Rule, Frequency Matrix, and Rule Induction, this study suggests an integrative prediction model. The data set for the tests is collected from a convenience store G, which is the number one in its brand in S. Korea. This data set contains sales information on customer transactions from September 1, 2005 to December 7, 2005. About 1,000 transactions are selected for a specific item. Using this data set, it suggests an integrated model predicting whether a customer buys or not buys a specific product for target marketing strategy. The performance of integrated model is compared with that of other models. The results from the experiments show that the performance of integrated model is superior to that of all other models such as Association Rule, Frequency Matrix, and Rule Induction.

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애니메이션 효율적 공정관리를 위한 캐릭터 셋업 ('Master Character Set-up' for Effective Management of 3D Animation Pipe Line)

  • 채일진
    • 한국콘텐츠학회논문지
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    • 제7권4호
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    • pp.133-140
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    • 2007
  • 기존의 상업적인 3D CG 애니메이션 제작 공정 구조는 부서간의 병목현상으로 모든 부서가 동시에 작업을 할 수 있는 효율적인 구조로 이루어지지 않고 있다. 예를 들어, 애니메이팅 작업을 하기 위해선 선행되어야 할 모델링과 Set-Up 단계가 끝나기 전에는 애니메이팅 작업을 할 수가 없다. 그 결과, 제작 일정의 지연, 제작비의 손실을 발생시키게 되고, 또한 선행된 작업에 수정을 가할 경우 수정이 끝날 때 까지 애니메이팅 작업은 중단된다는 결과를 야기 시킨다. 이런 문제는 표준으로 정해 놓은 "마스터 캐릭터"의 적용으로 도움을 줄 수가 있는데, 프로젝트의 시작과 동시에 모델링과 set-up 그리고 다른 어떤 작업과도 독립적으로 애니메이팅 작업을 시작 할 수 있고 수정 작업도 독립적으로 수행이 가능해서 애니메이션 제작공정을 효율적으로 관리할 수 있다.

하악상행지 시상분할골절단술 시 하악후퇴량의 방사선학적 예측 (Prediction of Amount of Mandibular Set Back with 3 Plain Radiographs in Mandibular Sagittal Split Ramus Osteotomy)

  • 노량석;김진욱;권대근;이상한
    • Maxillofacial Plastic and Reconstructive Surgery
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    • 제33권4호
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    • pp.323-330
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    • 2011
  • Purpose: The present study examined the reproducibility of an operation plan by comparing the jaw position of STO with the postoperative mandibular set back measurement in sagittal split ramus osteotomy. Methods: Thirty patients with class III dental and skeletal malocclusion and who were treated with BSSRO were reviewed. Three plain radiographs such as the panoramic view, the lateral cephalogram and the submentovertex view were taken before and after operation. Also, paper surgery for STO and model surgery were used to evaluate the amount of mandibular set back. Results: On the panoramic view, the amount of mandibular set back in STO was similar to the postoperative results of model surgery, but the amount of mandibular set back on the lateral cephalogram was smaller than the postoperative result of model surgery and then the amount of set back on submentovertex view was similar to the postoperative result of model surgery. Conclusion: Precise tracing and paper surgery should be performed for a combined expected STO in order to predict the exact amount of preoperative mandibular set back.

지식 결합을 이용한 서로 다른 모델들의 통합 (Integration of Heterogeneous Models with Knowledge Consolidation)

  • 배재권;김진화
    • 경영과학
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    • 제24권2호
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    • pp.177-196
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    • 2007
  • For better predictions and classifications in customer recommendation, this study proposes an integrative model that efficiently combines the currently-in-use statistical and artificial intelligence models. In particular, by integrating the models such as Association Rule, Frequency Matrix, and Rule Induction, this study suggests an integrative prediction model. Integrated models consist of four models: ASFM model which combines Association Rule(A) and Frequency Matrix(B), ASRI model which combines Association Rule(A) and Rule Induction(C), FMRI model which combines Frequency Matrix(B) and Rule Induction(C), and ASFMRI model which combines Association Rule(A), Frequency Matrix(B), and Rule Induction(C). The data set for the tests is collected from a convenience store G, which is the number one in its brand in S. Korea. This data set contains sales information on customer transactions from September 1, 2005 to December 7, 2005. About 1,000 transactions are selected for a specific item. Using this data set. it suggests an integrated model predicting whether a customer buys or not buys a specific product for target marketing strategy. The performance of integrated model is compared with that of other models. The results from the experiments show that the performance of integrated model is superior to that of all other models such as Association Rule, Frequency Matrix, and Rule Induction.

MPEG2용 IEEE1394 LINK CHIP SET 개발 기술

  • 이희
    • 정보화사회
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    • 통권129호
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    • pp.42-49
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    • 1999
  • 디지털 비디오의 혁명이 가시화 되면서 가정의 각 Consumer기기들 간의 고속 Digital Interface가 요구되어져 왔다. 이러한 요구의 예는 MPEG-2 Transport Stream을 이용한 Set-Top Bx, Digital Television, DVCR 또는 Camcorder간의 Interface와 Interactive Games, Computers 및 주변기기간의 Control/Data Interface를 포함하고 있다. 엄밀히 말해 Data의 일반적인 전송을 지원하는 Interface가 요구되어지며, IEEE1394 Standard는 이에 대한 최적의 Solution을 제공해 준다. 본 기술은 IEEE1394를 기반으로 MPEG-2 Transport Stream을 주고받을 수 있는 방법을 제공하기 위한 Hardware를 개발하는 기술인 MPEG2용 IEEE1394 Link Chip Set 개발 기술에 대하여 설명한다.

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러프집합론의 철학적 함의 (A Philosophical Implication of Rough Set Theory)

  • 박창균
    • 논리연구
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    • 제17권2호
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    • pp.349-358
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    • 2014
  • 불완전한 지식의 문제는 오랫동안 인간이 해결하려는 것이었다. 인공지능에서 불완전한 지식의 문제를 다루기 위해 파블락은 러프집합론을 1982년에 제안하였다. 러프집합론은 다음과 같은 두 가지 흥미있는 성질을 가지고 있다. 먼저 하나의 러프집합은 지식기반에 따라 같은 집합이 아닌 다른 집합으로 간주된다는 것이다. 그리고 서로 다른 러프집합도 어떤 지식 기반에서 보면 서로 같은 집합으로 여겨진다는 것이다. 이러한 성질은 의미있는 철학적 해석을 낳는다. 즉 하나의 개념이나 사건은 다른 철학적 관점에서 다른 것으로 이해되기도 하고, 서로 다른 개념이나 사건도 어떤 관점에 따라서는 같은 것으로 간주될 수 있다는 것이다. 본고에서는 이러한 러프집합의 성질은 비판적 실재론이나 과학철학에서 관찰의 이론적재성을 지지하는 수학적 모델로 취급될 수 있다고 주장한다.

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