• 융합신호처리학회논문지
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• 제14권2호
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• pp.77-81
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• 2013

안전한 선박의 항행 및 관제를 위해 사용되고 있는 국제 표준 AIS(Automatic Identification System)는 27개의 메시지를 정의하여 선박의 항행 정보 및 다양한 정보들을 교환하게 한다. 27개의 메시지 중 6번과 8번 메시지는 특정 응용에 필요한 정보들을 교환할 수 있도록 이진 바이너리 데이터 형태로 정의되어 있는데, 국제적으로 정의한 IFM(International Function Message)과 나라별 또는 지역별 RFM(Regional Function Message)으로 현재 사용되고 있다. 국제 표준은 영어로 표준화가 되어 있어, 국내 항만에서 관제를 할 때 한글 텍스트 교환에 대한 필요성이 선박의 정적 동적 정보 정정 분야에서 제기되면서 이를 RFM으로 정의하기 위한 연구로 본 논문의 연구가 시작되었다. 본 논문에서는 국내 RFM으로 한글 기반 텍스트 메시징 서비스를 제공하기 위해 국제표준을 분석하고 한글 텍스트를 교환하기 위해 수정되어야 하는 표준 부분과 처리 절차 등을 고려하여 RFM 메시지를 제안하였다. 그리고 RFM 메시지를 통해 선박 정보를 정정하는 프로토콜을 제안하였다.

• 전기학회논문지P
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• 제58권4호
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• pp.432-436
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• 2009

This paper is described that advanced study on network design of remote diagnosis system for power facilities of electric railway. In the field, it is very difficult for worker to diagnosis power facilities including catenary because workers should be maintenance on AC power supply. Therefore, to properly design on remote diagnosis system, we have searched the inside and outside of the country-related technology trends. Also we confirmed that required technologies to design interface technology required for the development of sensor devices and the USN network was designed in accordance with required skills. Throughout variety of requirements, we have development iRFS based ZA sensors and iRFM to receive data of sensor. Also CC2420 is applied as single-chip which used 2.4GHz IEEE802.15.4 compliant RF tranciver designed for low-power and low-voltage wireless applications for ZigBee communication.

• 지식경영연구
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• 제23권2호
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• pp.277-299
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• 2022

관광산업에서 발생하는 방대한 카드 거래 데이터는 관광객의 소비 행태와 패턴을 암시하는 중요한 자원이 되었다. 거래 데이터에 기반을 둔 스마트 서비스 시스템을 개발하는 것은 관광산업과 지식관리시스템 개발자들의 주요한 목표들 중 하나이다. 그러나 기존 추천 기법의 근간이 되어 온 평점을 활용하기 어렵다는 점은 시스템 설계자들이 학습 과정을 평가하기 어렵게 한다. 또한 시간적, 공간적, 인구통계학적 정보와 같이 추천 성과를 높일 수 있는 보조 요소들을 적절히 활용하는 방법도 어려운 상황이다. 이러한 문제들에 대하여 본 논문은 카드 거래 데이터를 기반으로 관광 서비스를 추천하는 새로운 방식인 CTDDTR을 제안한다. 먼저 Doc2Vec를 이용하여 시간성 선호도를 임베딩하여 관광객 그룹과 서비스 벡터로 데이터를 표현하였다. 다음 단계로 딥러닝 기술 중 하나인 다중 계층 퍼셉트론을 도입하여 얻어진 벡터와 관광 RDF로부터 도출한 보조 요소를 통합하여 심층 추천 모듈을 구성하였다. 추가로, 지식경영 분야의 RFM 분석 기법을 심층 추천 모듈에 도입하여 심층 신경망을 학습하는데 사용되는 평점을 생성함으로써 평점 부재 문제에 대응하였다. 제안한 CTDDTR의 추천 성능을 평가하기 위해 제주도에서 8년 동안 발생한 카드 거래 데이터를 사용하였고, 제안된 방법의 우수한 추천 성능과 보조 요소의 효과를 증명하였다.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2004년도 춘계학술발표회논문집
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• pp.337-343
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• 2004

Spatial information could be obtained from spaceborne high resolution optical and synthetic aperture radar(SAR) images. However, some satellite images do not provide physical sensor information instead, rational polynomial coefficients(RPC) are available. The objectives of this study are: (1) 3-dimensional ground coordinates were computed by applying rational function model(RFM) with the RPC for the stereo pair of Ikonos images and their accuracy was evaluated. (2) Interferometric SAR(InSAR) was applied to JERS-1 images to generate DEM and its accuracy was analysis. (3) Quality of the DEM generated automatically also analyzed for different types of terrain in the study site. The overall accuracy was evaluated by comparing with GPS surveying data. The height offset in the RPC was corrected by estimating bias. In consequence, the accuracy was improved. Accuracy of the DEMs generated from InSAR with different selection of GCP was analyzed. In case of the Ikonos images, the results show that the overall RMSE was 0.23327", 0.l1625" and 13.70m in latitude, longitude and height, respectively. The height accuracy was improved after correcting the height offset in the RPC. i.e., RMSE of the height was 1.02m. As for the SAR image, RMSE of the height was 10.50m with optimal selection of GCP. For the different terrain types, the RMSE of the height for urban, forest and flat area was 23.65m, 8.54m, 0.99m, respectively for Ikonos image while the corresponding RMSE was 13.82m, 18.34m, 10.88m, respectively lot SAR image.

• 한국의류학회지
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• 제30권1호
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• pp.1-11
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• 2006

The purpose of this study was to analyze the current CRM situation in Korean apparel industry. Specifically, research purposes were 1) to examine the concepts and benefits of CRM, 2) to examine CRM strategies, 3) to analyze CRM system(i.e., customer relationship management service, customer segmentation criteria, DB management system), and 4) to analyze the potential problems and CRM adoption plan. The subjects for this research were thirty CRM managers in Korean apparel firms classified by the company type(woman's wear, man's wear, casual wear, children's wear, retailer) interviewed from December 2003 to March 1004. The results of this study were as follows: First, the concept of CRM represented the prime customer relationship, continuous consideration, and customer management system. The benefits of CRM reflected re-sales, improvement of profit share, and acquisition of customer's data base. Second, concerning the CRM strategies, most companies focused on persistent customer management through mileage program, membership cards and also implemented product strategies such as demand forecasting, customization based on customer data analysis. We also found that industry preferred to use pricing strategies, for example, segmentation of customer through discrepancies of price in which customers are provided by discount and gift voucher services. Regarding distribution strategy, channel diversification, localized service, and convenient delivery system were used. As promotion strategies, they chose celebrating customers' personal events and promoting cultural events and issuing coupons. Third, regarding CRM system, information service was the most frequently adopted, important and highly beneficial category. Also POS/web-POS, homepage were main sources of information. RFM is the mostly commonly used customer segmentation criteria. Fourth, potential problems in CRM adoption were lack of CRM knowledge and performance measurement of CRM. Future CRM adoption plan included CRM education and development of CRM performance measures.