• 제목/요약/키워드: location decision

검색결과 640건 처리시간 0.031초

브랜드 차별화 마케팅 성과에 관한 연구 - 서울 지역 체인 패밀리 레스토랑을 중심으로 - (A Study on Performances of Brand Differentiation Marketing (Focus on the Investigation of Multi-Chain Family Restaurants in Seoul))

  • 최수근;전병길
    • 한국조리학회지
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    • 제6권1호
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    • pp.79-102
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    • 2000
  • This study aims at providing restaurant marketers and decision-makers both the brand differentiation information and the useful clues to achieve the high market share through the various brand differentiation opportunities in multi-chain family restaurants. Sample surveys were conducted to 245 persons who had frequent using multi-chain family restaurants in Seoul. Method of survey used are telephone interviewing. The result of analysis was shown the marketer's performances on differentiation marketing, but that there were a lot of opportunities of differentiating the brand from others. Therefore, restaurant marketers and decision-makers should try to differentiate their brand along the lines of physical attributes, service, food quality, personnel, location, or image, in order to win the guest and then get the succession of their business.

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A Fuzzy Genetic Classifier for Recognition of Confusing Handwritten Numerals 4,6, and 9

  • Shin, Dae-Jung;Na, Seung-You;Kim, Sun-Hee
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1995년도 추계학술대회 학술발표 논문집
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    • pp.11-14
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    • 1995
  • A Fuzzy Classifier which deals with very confusing objects is proposed. Naturally this classifier heavily relies on the nulti-feature decision-making procedure. For a simple example, this classifier is applied to the recognition of confusing handwritten numerals 4,6 and 9 The characteristic variables used in this paper are the existence of a loop and the relative location of the starting or ending points(SEP). Thus each sample of handwritten numerals 4, 6 and 9 is classified in one of the 6 groups which are divided according to the sample structure. Each group has its own classifying rules. Also the method of rule-generation using genetic algorithms in each group is proposed.

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Autonomous Maze Solving Robot

  • Ye, Gan Zhen;Kang, Dae-Ki
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2011년도 추계학술대회
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    • pp.165-167
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    • 2011
  • Autonomous robots are intelligent machines that are capable of performing task in the world themselves with little or no human intervention. One of the main reason autonomous robots gained popularity in human's world is their ability to perform task with high degree of precision, accuracy and also consistency. One of the most studied fields in autonomous robot is the ability of decision making in robots. To tackle the ability of robots to make decision, this paper proposed an Autonomous Maze Solving Robot that is able to solve a maze using the optimum solution. The maze and the design of the robot are in compliance with IEEE Micromouse competition rules and regulation. Micromouse is an autonomous maze solving robot that shall be able to explore a maze on its own from a predefined starting location and find the optimum path to reach the predefined goal in the maze without human's intervention.

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Forest Fire Monitoring System Using Remote Sensing Data

  • Hwangbo, Ju-Won;Yu, Ki-Yun
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.747-749
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    • 2003
  • For forest fire monitoring in relatively cool area like Siberia, design of Decision Support System (DSS) is proposed. The DSS is consisted of three different algorithms to detect potential fires from NOAA AVHRR image. The algorithm developed by CCRS (Canada Center for Remote Sensing) uses fixed thresholds for multi-channel information like one by ESA (European Space Agency). The algorithm of IGBP (International Geosphere Biosphere Program) involves contextual information in deriving fire pixels. CCRS and IGBP algorithms are rather liberal compared to more conservative ESA algorithm. Fire pixel information from the three algorithms is presented to the user. The user considers all these information in making decision about the location fire takes place.

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철도지명의 결정기준과 체계에 관한 기초연구 (Guideline for Railway Naming System of Line and Station)

  • 문대섭;김현웅
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
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    • pp.601-606
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    • 2011
  • 지명은 일정한 지역의 명칭이다. 지명의 발생 요인은 인간의 한 지점이나 지역을 다른 지점 또는 지역과 구별하기 위한 데서 발생한다. 철도의 지명은 철도역명과 노선명 결정시 민감하게 반응한다. 서울을 비롯한 대도시권 도시철도의 노선은 번호체계로 통일되어 있으나, 간선철도의 노선은 다양한 성격으로 구분하여 노선명이 혼재하고 있다. 즉 기존선의 경우에는 역명이나 노선명에 혼란이 없으나, 신선건설의 경우에는 사업명 노선명에 혼란의 소지가 발생한다. 철도사업법 제4조(사업용철도노선의 고시)에서 국토해양부장관은 사업용 철도노선의 노선번호 노선명 기점 종점 중요경과지(정차역을 포함한다) 그 밖의 필요한 사항을 국토해양부령이 정하는 바에 의하여 지정 고시하도록 의무화하고 있다. 본고에서는 이의 결정기준과 체계화에 대하여 논의한다.

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Wi-Fi 기반 옥내측위를 위한 확장칼만필터 방법 (Extended Kalman Filter Method for Wi-Fi Based Indoor Positioning)

  • 임재걸;박찬식;주재훈;정승환
    • Journal of Information Technology Applications and Management
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    • 제15권2호
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    • pp.51-65
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    • 2008
  • The purpose of this paper is introducing WiFi based EKF(Extended Kalman Filter) method for indoor positioning. The advantages of our EKF method include: 1) Any special equipment dedicated for positioning is not required. 2) implementation of EKF does not require off-line phase of fingerprinting methods. 3) The EKF effectively minimizes squared deviation of the trilateration method. In order to experimentally prove the advantages of our method, we implemented indoor positioning systems making use of the K-NN(K Nearest Neighbors), Bayesian, decision tree, trilateration, and our EKF methods. Our experimental results show that the average-errors of K-NN, Bayesian and decision tree methods are all close to 2.4 meters whereas the average errors of trilateration and EKF are 4.07 meters and 3.528 meters, respectively. That is, the accuracy of our EKF is a bit inferior to those of fingerprinting methods. Even so, our EKF is accurate enough to be used for practical indoor LBS systems. Moreover, our EKF is easier to implement than fingerprinting methods because it does not require off-line phase.

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CT 영상의 모포러지컬 특성에 기반한 완전 자동 간 분할 (Fully Automatic Liver Segmentation Based on the Morphological Property of a CT Image)

  • 서경식;박종안;박승진
    • 한국의학물리학회지:의학물리
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    • 제15권2호
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    • pp.70-76
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    • 2004
  • 간 영역을 다른 복부 장기들로부터 정확히 분할한 후 간 내부의 종양을 감별 분할하므로써 간암을 조기 발견하는 데 도움을 준다. 본 논문은 복부의 모포러지컬 특성을 이용하여 효과적인 완전 자동 간 분할을 수행할 수 있는 알고리즘을 제안한다. 전처리 단계로서 다봉성 히스토그램 분할을 수행하고 복부의 모폴러지 좌표를 찾기 위해 척추를 분할한다. 다음으로 간 영역을 C-class maximum a posteriori (MAP) decision과 이진 모폴러지 필터링에 의해 추출한다. 자동으로 분할된 간 영역을 평가하기 위해 영역 에러율(Average Error Rate)과 회전 이진 영역 투영 매칭법(Rotational Binary Region Projection Matching; RBRPM)에 의한 상관 계수를 사용한다. 실험 결과는 제안한 알고리즘에 의해 획득한 완전 자동 간 분할과 수동 간 분할사이에 매우 유사한 결과를 보였다.

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우리나라 민간병원의 자본조달결정에 관한 연구 (A Study on the Financing Decision of Korean Private Hospitals)

  • 최만규
    • 한국병원경영학회지
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    • 제7권3호
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    • pp.25-43
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    • 2002
  • This study focuses on the factors that make the financing decision of private hospitals in Korea. Data used in this study were collected from 98 hospitals with complete general data of current status as well as financial statements. They were chosen from the 138 hospitals that passed the accreditation process by the Korean Hospital Association from 1996 to 2000 for the purpose of accrediting training hospitals. The dependent variables in this study consist of total liabilities to total assets, borrowings to total assets. The independent variables are ownership, hospital type, teaching status, location, bed size, period of establishment, asset structure, profitability, growth, tax shields, volatility of profit, competition(market concentration), and other factors. The major findings of this study are as follows. The factors found to have significant effect on liabilities to total assets are teaching status(-), asset structure(-), profitability(-), tax shields(+), and business risk(-). University hospitals have less liabilities than the non-university hospitals. It was also confirmed that high profitability, high fixed asset, high volatility of profit and low tax shields results in decrease in liabilities. The factors that significantly affect on borrowings to total assets are teaching status(-), period of establishment(-), volatility of profit(-) and competition(+).

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Knowledge Based New POI Recommendation Method in LBS Using Geo-Ontology and Multi-Criteria Decision Analysis

  • Joo, Yong-Jin
    • 대한공간정보학회지
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    • 제19권1호
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    • pp.13-20
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    • 2011
  • 위치 기반 서비스는 사용자 중심의 위치를 기반으로 한 정보 서비스이며 유비쿼터스 시대에 있어서 핵심적인 엔진으로서 논의되어져오고 있다. 본 연구의 목적은 다중 의사 결정 기법을 통해 이동 단말 사용자의 위치 정보와 공간적 선호도를 반영한 새로운 온톨로지 추론 시스템을 개발하는 것이다. 이를 위해 POI 검색을 위한 온톨로지 기반의 LBS 추론시스템을 개발하고 사용자의 상황인식정보와 개인적 특성 및 공간선호도에 따른 온톨로지로 구축을 하여 그 구현 결과를 보였다. 또한 사용자의 의사결정시 결정기준요소에 가중치 부여를 위한 Cost Value Ontology를 구축하여, 다 기준 의사추론을 통해 사용자에게 적절한 추천 결과가 도출되는 위치 기반 서비스 방법을 제안하였다.

A Grey MCDM Based on DEMATEL Model for Real Estate Evaluation and Selection Problems: A Numerical Example

  • NGUYEN, Phi-Hung;TSAI, Jung-Fa;NGUYEN, Thanh-Tam;NGUYEN, Thi-Giang;VU, Dang-Duong
    • The Journal of Asian Finance, Economics and Business
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    • 제7권11호
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    • pp.549-556
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    • 2020
  • Real estate markets play an essential role in the economic development of both developed and developing countries. Investment decisions in private real estate demand the consideration of several qualitative and quantitative criteria. Especially in Vietnam, demand for housing, apartments are rising which has resulted because of the migration from rural to urban areas. This study aims to determine the influencing factors of the real estate purchasing behavior and then recommend a grey Multi-Criteria Decision Making (MCDM) support model to evaluate real estate alternatives based on a numerical example in Vietnam. A set of essential criteria are identified based on experts' opinion, and the proposed determinants are initial investment, maintenance cost, prestige location, distance to interesting places, parking lot, public transportation, property condition, total area size, number of rooms, and neighbors. The subjective weights were obtained by using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) model, and the Grey Relational Analysis (GRA) technique is employed to prioritize and rank real estate alternatives. The results reveal that this approach can be useful to make purchasing decisions for many kinds of real estate property under uncertain business environments. These findings indicate that the presented hybrid model has advantages in granting flexibility to the preferences of decision makers.