• Title/Summary/Keyword: embedded database

Search Result 203, Processing Time 0.024 seconds

The Hybrid Knowledge Integration Using the Fuzzy Genetic Algorithm

  • Kim, Myoung-Jong;Ingoo Han;Lee, Kun-Chang
    • Proceedings of the Korea Database Society Conference
    • /
    • 1999.06a
    • /
    • pp.145-154
    • /
    • 1999
  • An intelligent system embedded with multiple sources of knowledge may provide more robust intelligence with highly ill structured problems than the system with a single source of knowledge. This paper proposes the hybrid knowledge integration mechanism that yields the cooperated knowledge by integrating expert, user, and machine knowledge within the fuzzy logic-driven framework, and then refines it with a genetic algorithm (GA) to enhance the reasoning performance. The proposed knowledge integration mechanism is applied for the prediction of Korea stock price index (KOSPI). Empirical results show that the proposed mechanism can make an intelligent system with the more adaptable and robust intelligence.

  • PDF

Delayed Write Scheme for The Flash Memory based Embedded Database Systems (플래시 메모리 기반 임베디드 데이터베이스 시스템을 위한 지연쓰기 기법)

  • Yun, Seung-Hee;Song, Ha-Joo
    • Proceedings of the Korean Information Science Society Conference
    • /
    • 2006.10c
    • /
    • pp.287-290
    • /
    • 2006
  • 플래시 메모리는 동작 특성상 메모리 영역에 대한 덮어쓰기(overwrite)가 불가능하고 메모리 쓰기를 위해서는 삭제(erase) 연산을 반드시 먼저 수행해야 한다. 삭제 연산은 읽기 연산에 비해 많은 시간이 소요되므로 될수록 줄이는 것이 플래시 메모리의 수행 성능 향상에 유리하다. 본 논문에서는 플래시 메모리에 대한 삭제 횟수를 줄이기 위해 데이터베이스 페이지에 대한 쓰기 연산을 지연하는 지연쓰기 기법을 제안한다. 이 기법은 페이지에 대한 갱신이 일어날 때 페이지캐시 내의 해당 페이지에 대해서는 갱신을 수행하되 그것을 유발한 레코드 연산(레코드 삽입, 갱신, 삭제)은 별도의 지연쓰기 큐에 기록한다. 그리고 레코드 연산이 지연쓰기 큐에 저장되어 있는 동안에는 해당 페이지에 대한 갱신은 보류한다. 만약 해당 페이지를 다시 읽어야할 필요가 있을 때에는 지연 쓰기 큐에 저장된 갱신 정보와 병합하여 갱신된 페이지를 페이지 캐시에 적재한다. 이는 갱신되는 페이지의 개수와 단일 페이지에 대한 갱신 횟수를 감소시키는 효과를 가져온다. 따라서 플래시 메모리의 삭제 및 쓰기 연산을 감소시켜 데이터베이스 시스템의 수행성능을 향상시키게 된다.

  • PDF

Total Load Control System(TLCS) and Pollutant Loading Estimates from Watershed using BASINS (새만금 유역에 있어 BASINS 적용가능성 검토 (만경유역 유출량을 중심으로))

  • Jeon, J.H.;Yoon, C.G.
    • Proceedings of the Korean Society of Agricultural Engineers Conference
    • /
    • 2001.10a
    • /
    • pp.399-402
    • /
    • 2001
  • After the legal foundation for the Total Load Control System (TLCS) process is embedded in integrated water management counterplan for 4 major river basins (1998), Kyunggido Kwangju City prepared the implementation plan of TLCS at first time. There is little difference between TLCS and TMDL(Total Daily Maxium Loading; U.S.A). TMDL is applied only when mandatory effluent limitations are not stringent enough to attain any water quality standard. But object of TLCS not only attain water quality standard at distributed watershed but also consider development of area at non-distributed watershed. For applying of systematic and consistent TLCS, we need to establish a system integrated watershed and point source, non-point source and assessed massive database easily. Now we are study on applicable possibility of BASINS on Korea, we think that BASINS's tool and many models are more easily apply to TLCS, so we recommend TLCS will be applied using BASINS.

  • PDF

Design of Comparison Experiment of Search Performance for Mobile Databases on Mobile Environments (모바일 환경에서 모바일 데이터베이스의 검색 성능 비교 실험 설계)

  • Choi, Jin-oh
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2018.05a
    • /
    • pp.141-142
    • /
    • 2018
  • 고성능 스마트폰의 사용이 보편화되고 성능과 용량의 증가로 그 활용 분야가 날로 확대되고 있다. 특히 클라이언트 단말기 활용에서 벗어나 모바일 환경에서 데이터베이스 엔진 사용이 보편화되고 있으며 모바일에 적합한 데이터베이스 엔진 개발과 발표가 뒤따르고 있다. 이 엔진들은 대부분 오픈소스 프로그램들이며 범용 데이터베이스에 비해 가볍고 속도가 빠른 장점을 지녀 향후 발전 가능성이 커 보인다. 이 논문에서는 안드로이드 등의 모바일 환경에서 SQLite 데이터베이스, Realm 데이터베이스 등의 모바일 데이터베이스들의 검색 성능 및 특성을 파악하고 비교하기 위한 시스템을 설계하여 성능 실험을 할 수 있도록 한다.

  • PDF

Software Development for Auto-Generation of Interlocking Knowledgebase Using Artificial Intelligence Approach (인공지능기법에 근거한 철도 전자연동장치의 연동 지식베이스 자동구축 S/W 개발)

  • Ko, Yun-Seok;Kim, Jong-Sun
    • The Transactions of the Korean Institute of Electrical Engineers A
    • /
    • v.48 no.6
    • /
    • pp.800-806
    • /
    • 1999
  • This paper proposes IIKBAG(Intelligent Interlocking Knowledge Base Generator) which can build automatically the interlocking knowledge base utilized as the real-time interlocking strategy of the electronic interlocking system in order to enhance it's reliability and expansion. The IIKBAG consists of the inference engine and the knowledge base. The former has an auto-learning function which searches all the train routes for the given station model based on heuristic search technique while dynamically searching the model, and then generates automatically the interlocking patterns obtained from the interlocking relations of signal facilities on the routes. The latter is designed as the structure which the real-time expert system embedded on IS(Interlocking System) can use directly in order to enhances the reliability and accuracy. The IIKBAG is implemented in C computer language for the purpose of the build and interface of the station structure database. And, a typical station model is simulated to prove the validity of the proposed IIKBAG.

  • PDF

A Study on the Hybrid Data Mining Mechanism Based on Association Rules and Fuzzy Neural Networks (연관규칙과 퍼지 인공신경망에 기반한 하이브리드 데이터마이닝 메커니즘에 관한 연구)

  • Kim Jin Sung
    • Proceedings of the Korean Operations and Management Science Society Conference
    • /
    • 2003.05a
    • /
    • pp.884-888
    • /
    • 2003
  • In this paper, we introduce the hybrid data mining mechanism based in association rule and fuzzy neural networks (FNN). Most of data mining mechanisms are depended in the association rule extraction algorithm. However, the basic association rule-based data mining has not the learning ability. In addition, sequential patterns of association rules could not represent the complicate fuzzy logic. To resolve these problems, we suggest the hybrid mechanism using association rule-based data mining, and fuzzy neural networks. Our hybrid data mining mechanism was consisted of four phases. First, we used general association rule mining mechanism to develop the initial rule-base. Then, in the second phase, we used the fuzzy neural networks to learn the past historical patterns embedded in the database. Third, fuzzy rule extraction algorithm was used to extract the implicit knowledge from the FNN. Fourth, we combine the association knowledge base and fuzzy rules. Our proposed hybrid data mining mechanism can reflect both association rule-based logical inference and complicate fuzzy logic.

  • PDF

Hybrid Watermarking Scheme using a Data Matrix and Secret Key (데이터 매트릭스와 비밀 키를 이용한 하이브리드 워터마킹 방법)

  • Jeon, Seong-Goo;Kim, Il-Hwan
    • Proceedings of the KIEE Conference
    • /
    • 2006.04a
    • /
    • pp.144-146
    • /
    • 2006
  • The Data Matrix of two-dimensional bar codes is a new technology capable of holding relatively large amounts of data compared to the conventional one-dimensional bar code which is just a key that can access detailed information to the host computer database. A secret key is used to prevent a watermark from malicious attacks. We encoded copyright information into a Data Matrix bar code for encoding process and it was spread a pseudo random pattern using owner key. We embedded a randomized watermark into the image using watermark's embedding position, pattern generated with a secret key. The experimental results have shown that the proposed scheme has good quality and is very robust to various attacks, such as JPEG compression and noise. Also the performance of the proposed scheme is verified by comparing the copyright information with the information which is extracted from a bar code scantier.

  • PDF

A study on the Internet control and monitoring system using a microprocessor embedded controller (마이크로프로세서를 이용한 인터넷 원격감시제어 시스템에 관한 연구)

  • 서인호;문복산;김경엽;김영일;천행춘;유영호
    • Proceedings of the Korean Society of Marine Engineers Conference
    • /
    • 2000.11a
    • /
    • pp.152-156
    • /
    • 2000
  • Many industrial equipments use RS-232C interface. But Ethernet using CSMA/CD was widly spread recently. This interface is not compatible with RS-232C and requires PC based system. So In this Paper, We decribe a Internet control and monitoring system that control and watch plants without PC. We developed IP controller consisted of microprocessor and NIC and monitoring system using VC++ and SQL database. The protocol used this system is UDP/IP because it is applicable for real time system.

  • PDF

Lazy-Update Scheme based on Shadow Paging in Embedded Database (임베디드 데이터베이스에서의 그림자 페이지 기반 지연 갱신 기법)

  • Park, Jae-Kwan;Park, Gee-Yong;Kim, Young-Ki
    • Proceedings of the Korean Information Science Society Conference
    • /
    • 2011.06c
    • /
    • pp.49-52
    • /
    • 2011
  • 모바일 폰에서는 데이터 저장을 위해 낸드 플래시 메모리가 널리 사용하고 있다. 그리고 제한된 리소스 환경임에도 데이터의 효율적인 관리를 위해 임베디드 데이터베이스 시스템을 탑재하는 모델이 점차 늘고 있다. 플래시 메모리의 쓰기 연산은 읽기 연산에 비해 고비용의 연산이며 쓰기 연산이 많을수록 빈 블록을 더 빠르게 소모시켜 고비용의 지우기 연산을 유도하므로 성능 저하를 유발하는 특징이 있다. 본 논문에서는 리소스가 제한적인 모바일 폰에 적용되는 데이터베이스에서의 쓰기 연산 최소화를 위한 지연 갱신 기법을 제안한다. 이 기법은 기존의 그림자 페이지 기법을 모바일 환경에 맞도록 변형하여 플래시 메모리의 쓰기 및 지우기 연산을 감소시켜 데이터베이스의 성능을 향상 시킨다.

Robust Positioning-Sensing for a Mobile Robot (모바일 로봇의 강인한 위치 추정 기법)

  • Lee, Jang-Myung;Hwang, Jin-Ah;Hur, Hwa-Ra;Kang, Jin-Gu
    • The Journal of Korea Robotics Society
    • /
    • v.2 no.3
    • /
    • pp.221-226
    • /
    • 2007
  • A robust position-sensing system is proposed in this paper for ubiquitous mobile robots which move indoor as well as outdoor. The Differential GPS (DGPS) which has position estimation error of less than 5 m is a general solution when the mobile robots are moving outdoor, while an active beacon system (ABS) with embedded ultrasonic sensors is selected as an indoor positioning system. The switching from the outdoor to indoor or vice versa causes unstable measurements on account of the reference and algorithm changes. To minimize the switching time in the position estimation and to stabilize the measurement, a robust position-sensing system is proposed. In the system, to minimize the switching delay, the door positions are stored and updated in a database. The reliability and accuracy of the robust positioning system based on DGPS and ABS are verified through the real experiments using a mobile robot prepared for this research and demonstrated.

  • PDF