• 한국공간정보시스템학회 논문지
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• 제2권2호
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• pp.39-48
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• 2000

본 연구는 FM DARC(DAta Radio Channel) 부가방송을 이용하여 실시간 교통정보를 제공하기 위한 교통정보 변환알고리즘 개발을 목표로 한다. FM DARC 교통정보 제공시스템을 효과적으로 구축하기 위해서는 각종 검지기로부터 수집된 데이터가 하나의 표준화된 교통정보, 즉 정보의 양과 질 그리고 포맷이 같은 정보로 가공되어 전송되어야 한다. 본 연구에서는 GIS 노드-링크 체계에 기반을 둔 교통정보 변환알고리즘을 개발하여 클라이언트/서버 환경의 FM DARC 교통정보시스템을 구현하여 보았다. 본 논문은 FM DARC에 관하여 간략하게 서술한 후 GIS DB와 교통정보 변환알고리즘 그리고 구현된 시스템에 내한 내용으로 구성되었다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1260-1263
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• 2005

Data storage related with writing and retrieving requires high storage capacity, fast transfer rate and less access time. Today any data storage system cannot satisfy these conditions, however holographic data storage system can perform faster data transfer rate because it is a page oriented memory system using volume hologram in writing and retrieving data. System can be constructed without mechanical actuating part therefore fast data transfer rate and high storage capacity about 1Tb/cm3 can be realized. In this research, to reduce errors of binary data stored in holographic data storage system, a new method for bit error reduction is suggested. First, find fuzzy rule using experimental system for Element of Holographic Digital Data System. Second, make fuzzy rule table using Genetic algorithm. Third, reduce prior error element and recording Digital Data. Recording ratio and reconstruction ratio will be very good performance

• 한국멀티미디어학회논문지
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• 제24권8호
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• pp.1114-1121
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• 2021

In this paper, we implement a recipe recommendation system using ingredient harmonization analysis based on recipe data. The proposed system receives an image of a food ingredient purchase receipt to recommend ingredients and recipes to the user. Moreover, it performs preprocessing of the receipt images and text extraction using the OCR algorithm. The proposed system can recommend recipes based on the combined data of ingredients. It collects recipe data to calculate the combination for each food ingredient and extracts the food ingredients of the collected recipe as training data. And then, it acquires vector data by learning with a natural language processing algorithm. Moreover, it can recommend recipes based on ingredients with high similarity. Also, the proposed system can recommend recipes using replaceable ingredients to improve the accuracy of the result through preprocessing and postprocessing. For our evaluation, we created a random input dataset to evaluate the proposed recipe recommendation system's performance and calculated the accuracy for each algorithm. As a result of performance evaluation, the accuracy of the Word2Vec algorithm was the highest.

• Journal of the Korean Data and Information Science Society
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• 제17권3호
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• pp.717-726
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• 2006

This study is to investigate the MAE of prediction value by collaborative filtering algorithm originated by GroupLens and improved algorithm. To decrease the MAE on the collaborative recommender system on user based, this research proposes the improved algorithm, which reduces the possibility of over estimation of active user's preference mean collaboratively using other user’s preference mean. The result shows the MAE of prediction by improved algorithm is better than original algorithm, so the active user's preference mean used in prediction formula is possibly over estimated.

• 한국추진공학회지
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• 제14권2호
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• pp.54-62
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• 2010

본 논문에서는 고속 비행체의 공기유동 데이터 측정 시스템에 직접 적용이 가능하며 고 신뢰도를 갖는 유동 데이터 처리 알고리즘 개발에 대해 기술하였다. 과거 공기유동 데이터 획득시스템과는 다르게 전산유동해석(CFD)을 통해 미리 획득한 데이터를 적용한 알고리즘으로 전압력 측정이 필요 없이 충분 한 센서 여유(redundancy) 및 오류 검출기능을 지니고 있다. 개발된 알고리즘에 대한 검증은 상용 프로그램인 매트랩 및 시뮬링크를 사용하여 진행하였다.

• 정보처리학회논문지A
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• 제11A권3호
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• pp.157-162
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• 2004

본 논문에서는 가상 메모리 압축 알고리즘으로 CAMD 알고리즘을 제안한다. CAMD 알고리즘은 페이지 폴트가 일어났을 때 이들 페이지들을 스왑 디바이스로 이동시키지 않고 주기억장치 내의 압축된 캐시 영역을 할당하여 압축된 페이지를 저장한다. 이렇게 함으로써 스왑 디바이스로 이동하는 시간과 횟수를 감소시켜서 페이지 폴트 응답시간을 줄이며 주기억장치에 저장되는 페이지들의 공간 활용도를 높일 수 있다. 메모리 내의 데이터는 일반적인 압축 알고리즘에서 다루는 데이터와는 다른 특징들을 가지고 있어서 메모리 내의 주소 값이나 배열 데이터와 값은 요소들을 고려하여 압축될 때의 효율성을 높일 수 있다.

• 제어로봇시스템학회논문지
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• 제14권1호
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• pp.27-35
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• 2008

A navigation system is one of the important components of an unmanned ground vehicle (UGV). A GPS receiver collects data signals transmitted by (Earth orbiting) satellites. However, these data signals may contain many errors resulting misinformation and depending on one's position (environment), reception may be impossible. The proposed self-driven algorithm uses three low-cost GPS in order to minimize errors of existing inexpensive single GPS's driving algorithm. By using reliable final data, which is analyzed and combined from each of three GPS's received data signals, gathering a vehicle's steering performance information and its current pin-point position is improved even with error containing signals or from a place where signal gathering is impossible. The purpose of this thesis is to explain navigation system algorithm using multiple GPS and compass sensor and prove the algorithm through experiments.

• 대한전자공학회논문지
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• 제27권8호
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• pp.1303-1310
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• 1990

This paper describes the design and implementation of a system for automatic data path synthesis in digital system. There are four subtasks to synthesize a digital system: scheduling, register allocation, functional unit allocation and bus allocation. In this paper, force directed algorithm is used for the scheduling while new algorithms are proposed for the allocation subtasks. Synthesis results of two experimental data paths including MC6502 have shown that our proposed algorithm out goes most of previous works.

• 한국소음진동공학회논문집
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• 제21권11호
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• pp.997-1004
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• 2011

A fault detection algorithm of a charge and discharge system to ensure the safe use of hybrid electric vehicle is proposed in this paper. This algorithm can be used as a complementary way to existing fault detection technique for a charge and discharge system. The proposed algorithm uses a SVDD technique, which additionally utilizes two methods for learning a large amount of data; one is to incrementally learn a large amount of data, the other one is to remove the data that does not affect the next learning using a new data reduction technique. Removal of data is selected by using lines connecting support vectors. In the proposed method, the data processing speed is drastically improved and the storage space used is remarkably reduced than the conventional methods using the SVDD technique only. A battery data and speed data of a commercial hybrid electrical vehicle are utilized in this study. A fault boundary is produced via SVDD techniques using the input and output in normal operation of the system without using mathematical modeling. A fault detection simulation is performed using both an artificial fault data and the obtained fault boundary via SVDD techniques. In the fault detection simulation, fault detection time via proposed algorithm is compared with that of the peak-peak method. Also the proposed algorithm is revealed to detect fault in the region where conventional peak-peak method is never able to do.

• Journal of Information Technology Applications and Management
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• 제13권3호
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• pp.59-74
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• 2006

According to developing Wireless Communication, not only a location based service at the outside but also a location based service at the inside was more increased socially. This paper proposes the efficient algorithm to locate a transfer object in frequent change of indoor environment using indoor location tracking system we develop ourself. Proposing algorithm in this paper can locate a transfer object using the Fingerprint, one of the Location Tracking techniques which are used in general to minimize error data between Location Tracking System and Fingerprint, using this way that corrects location data as KF apply to result data can improve accuracy of a transfer object. At last we are going to compare and analyze existing typical triangulation with proposed Indoor location tracking system to demonstrate algorithm efficiency for proposed Indoor location tracking system.