• 제목/요약/키워드: concreteness

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Data Mining in Marketing: Framework and Application to Supply Chain Management

  • Kim, Steven H.;Min, Sung-Hwan
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 1999년도 춘계공동학술대회-지식경영과 지식공학
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    • pp.125-133
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    • 1999
  • The objective of knowledge discovery and data mining lies in the generation of useful insights from a store of data. This paper presents a framework for knowledge mining to provide a systematic approach to the selection and deployment of tools for automated learning. Every methodology has its strengths and limitations. Consequently, a multistrategy approach may be required to take advantage of the strengths of disparate technique while circumventing their individual limitations. For concreteness, the general framework for data mining in marketing is examined in the context of developing agents for optimizing a supply chain network.

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복잡한 예측문제에 대한 이차학습방법 : Video-On-Demand에 대한 사례연구 (Second-Order Learning for Complex Forecasting Tasks: Case Study of Video-On-Demand)

  • 김형관;주종형
    • 지능정보연구
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    • 제3권1호
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    • pp.31-45
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    • 1997
  • To date, research on data mining has focused primarily on individual techniques to su, pp.rt knowledge discovery. However, the integration of elementary learning techniques offers a promising strategy for challenging a, pp.ications such as forecasting nonlinear processes. This paper explores the utility of an integrated a, pp.oach which utilizes a second-order learning process. The a, pp.oach is compared against individual techniques relating to a neural network, case based reasoning, and induction. In the interest of concreteness, the concepts are presented through a case study involving the prediction of network traffic for video-on-demand.

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직관의 즉각성 요인과 효과에 대한 고찰 (A Study on the Factors and Effect of Immediacy in Intuition)

  • 이대현
    • 한국수학교육학회지시리즈A:수학교육
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    • 제45권3호
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    • pp.263-273
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    • 2006
  • The purpose of this paper is to research the factors and the effects of immediacy in mathematics teaching and learning and mathematical problem solving. The factors of immediacy are visualization, functional fixedness and representatives. In special, students can apprehend immediately the clues and solution using the visual representation because of its properties of finiteness and concreteness. But the errors sometimes originate from visual representation which come from limitation of the visual representation. It suggests that students have to know conceptual meaning of the visual representation when they use the visual representation. And this phenomenon is the same in functional fixedness and representatives which are the factors of immediacy The methods which overcome the errors of immediacy is that problem solvers notice the limitation of the factors of immediacy and develop the meta-cognitive ability. And it means we have to emphasize the logic and the intuition in mathematical teaching and learning. Clearly, we can't solve all mathematical problems using only either the logic or the intuition.

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Predicting Nonlinear Processes for Manufacturing Automation: Case Study through a Robotic Application

  • Kim, Steven H.;Oh, Heung-Sik
    • 대한산업공학회지
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    • 제23권2호
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    • pp.249-260
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    • 1997
  • The manufacturing environment is rife with nonlinear processes. In this context, an intelligent production controller should be able to predict the dynamic behavior of various subsystems as they react to transient environmental conditions, the varying internal condition of the manufacturing plant, and the changing demands of the production schedule. This level of adaptive capability may be achieved through a coherent methodology for a learning coordinator to predict nonlinear and stochastic processes. The system is to serve as a real time, online supervisor for routine activities as well as exceptional conditions such as damage, failure, or other anomalies. The complexity inherent in a learning coordinator can be managed by a modular architecture incorporating case based reasoning. In the interest of concreteness, the concepts are presented through a case study involving a knowledge based robotic system.

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Tablet PC를 이용한 차세대 텔레메틱스 플랫폼 전략과 이를 응용한 비즈니스 모델에 관한 연구 (A Study of Telematics Platform Realizatipn Strategy & Business Modelusing Tablet PC System)

  • 김세중;김태규
    • 경영과정보연구
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    • 제15권
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    • pp.187-222
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    • 2004
  • The existing fixed telematics facilities for car were restricting of efficiency, utilization, communication, possibility, so it become disconnected with reality in the domestic and foreign market within thy near future, like as the case of 'car-phone'. It is too difficult to make a various business model on the restrict basis. To solve these problems, We suggested Tablet PC system as a new mobile telematics platform. The telematics platform based on the Tablet PC realize the perfect office, because it shows an excellent portability, high power and extension, various input equipment, and environment of communication in the car. To realize this concreteness, it needs a proper marketing strategy for a new business model. For this purpose, We analyzed the structure of industry, selected a proper target market, and established the strategy of marketing. Additionally, We proposed new business models ; particularly Portal site, Car-Home network, Car Software Tuning, and T-Vaccine(Intelligent Car Inspection System). These are made possible by the only Tablet PC platform.

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주요 일간신문에 보도된 아동 건강정보 기사 평가 (Evaluation of Child Health Information Articles in Newspapers)

  • 김신정;이정은;최환석
    • Child Health Nursing Research
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    • 제5권3호
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    • pp.329-339
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    • 1999
  • The Purpose of this study was to take the right direction and meet the requirements of newspaper function about child health through evaluation of child health information articles in newspapers. Data were collected 4 main daily newspaper by selecting child health information articles during 1 year from January 1 to December 31, 1998. The results of this study are as follows. The frequency according to health category, disease treatment(47 7%) topped followed by health maintenanceㆍpromotion(28.8%). growthㆍdevelopment(12.1%), disease Prevention(11.4%). The frequency according to WHO international disease classification, infectious disease (23.6%) take most. In evaluation area of child health information, practical usage(3.78) topped followed by accuracy(3.68), comprehensiveness(3.64), clearness (3.48), concreteness(3.33).

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유방암 환자를 위한 영양교육매체 개발 및 평가 (Development and Evaluation of Nutrition Education Media for Breast Cancer)

  • 박상현;주나미
    • 대한지역사회영양학회지
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    • 제13권4호
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    • pp.510-519
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    • 2008
  • This study was conducted to develop and evaluate nutrition education media for breast cancer. The booklet was developed and consisted of breast cancer and diet, breast cancer and nutrition, breast cancer and food safety and Ingredients and recipes for breast cancer. The questionnaire requested information related to demographics, importance and satisfaction of evaluation for nutrition education media, evaluation of each chapter, and satisfaction of educational media. The data were analyzed using SPSS for Windows(version 12.0). The results were summarized as follows. The importance score for nutrition education media was higher than the satisfaction score. As a result of IPA analysis, quadrant I included 'comprehension', 'appropriateness of media', 'emphasis of the point'. Quadrant II classified with 'appropriateness of terms', 'interest', 'authenticity', 'appropriateness of illustrations'. Quadrant III included 'appropriateness of color and calligraphy', 'simplicity'. Quadrant IV classified with 'appropriateness of examples', 'concreteness'.

IMAGE ENCRYPTION USING NONLINEAR FEEDBACK SHIFT REGISTER AND MODIFIED RC4A ALGORITHM

  • GAFFAR, ABDUL;JOSHI, ANAND B.;KUMAR, DHANESH;MISHRA, VISHNU NARAYAN
    • Journal of applied mathematics & informatics
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    • 제39권5_6호
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    • pp.859-882
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    • 2021
  • In the proposed paper, a new algorithm based on Nonlinear Feedback Shift Register (NLFSR) and modified RC4A (Rivest Cipher 4A) cipher is introduced. NLFSR is used for image pixel scrambling while modified RC4A algorithm is used for pixel substitution. NLFSR used in this algorithm is of order 27 with maximum period 227-1 which was found using Field Programmable Gate Arrays (FPGA), a searching method. Modified RC4A algorithm is the modification of RC4A and is modified by introducing non-linear rotation operator in the Key Scheduling Algorithm (KSA) of RC4A cipher. Analysis of occlusion attack (up to 62.5% pixels), noise (salt and pepper, Poisson) attack and key sensitivity are performed to assess the concreteness of the proposed method. Also, some statistical and security analyses are evaluated on various images of different size to empirically assess the robustness of the proposed scheme.

A Test of the Psychological Distance Effect for Online Travel Reviews Based on Construal-Level Theory

  • Seunghun Shin;Namho Chung;Doyong Kang;Chulmo Koo
    • Asia pacific journal of information systems
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    • 제27권4호
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    • pp.216-232
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    • 2017
  • This study's objective is to use the construal-level theory (CLT) to explore the effect of the utility of online travel reviews on tourists' perception. To accomplish this goal, online travel reviews are divided into two different categories based on concreteness, and the usefulness of each review is compared with the temporal dimension of psychological distance. The results show that close future tourists are more influenced by concrete reviews than abstract reviews; however, the far future tourists are more influenced by abstract reviews than concrete reviews. Based on these results, theoretical and practical implications are discussed, and suggestions are made for future research.

영상실감을 위한 후각정보에 대한 사용자 지각과 영상분류 (User Perception of Olfactory Information for Video Reality and Video Classification)

  • 이국희;이형철;안충현;최지훈;김신우
    • 한국HCI학회논문지
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    • 제8권2호
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    • pp.9-19
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    • 2013
  • 시청각정보를 통한 영상미디어의 실감향상에 대해서는 많은 진보가 이루어져 왔다. 반면 영상실감을 위한 후각정보의 제시는 기술적 구현과 통제가 어려워 관련연구를 찾아보기 힘들다. 본 연구는 영상실감을 위해 후각정보를 제시하고자 할 때 필요한 기초자료를 획득하기 위해, 영상에 존재하는 후각정보에 대한 사용자 지각을 조사한 후 이에 근거하여 다양한 영상을 분류한 것이다. 이를 위해 먼저 영상에 냄새가 존재하는지 (냄새존재여부), 영상과 함께 해당 냄새를 경험하고 싶은지 (냄새제시선호), 해당 냄새가 내가 좋아하는 냄새인지 (냄새자체선호), 해당 냄새가 제시된다면 강도는 어느 정도면 좋을지 (냄새제시강도), 그리고 영상 속의 냄새가 얼마나 구체적인지 (냄새의 구체성)라는 다섯 가지 질문을 선정하였다. 이 질문들에 대해 높은 혹은 낮은 평정을 받을 만한 다양한 장르의 영상을 수집한 다음, 참가자들에게 하나씩 시청하게 한 후 위의 다섯 가지 질문에 대해 7점 척도로 평정하게 하였다. 영상분류를 위해 위 다섯 가지 질문을 2개씩 쌍으로 묶은 후, 각 질문에 대한 평정값을 2차원 평면의 X-Y축으로 설정하여 영상산포도를 구성하였다. 산포도를 통해 드러난 영상군집과 그 형태는 해당 영상군집이 가진 특성에 대한 통찰을 제공함과 동시에 영상실감을 위한 후각정보 제시에 중요한 시사점을 줄 것으로 기대한다.

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