• 제목/요약/키워드: Adapt

검색결과 2,749건 처리시간 0.027초

MMDB에서의 실내 환경에 적합한 BITMAP INDEX와 탐색기법 (BITMAP INDEX and Searching Strategies On MMDB Adapt To Indoor Environment)

  • 전현식;박현주
    • 한국정보처리학회:학술대회논문집
    • /
    • 한국정보처리학회 2004년도 추계학술발표논문집(상)
    • /
    • pp.39-42
    • /
    • 2004
  • 공간 질의 및 색인에 관한 기존 연구는 주로 실외 환경에 기반을 두고 있다. 실내 환경은 실외 환경과는 달리 질의 특성 및 환경적 요소가 다르다. 실내 환경 질의의 대표적인 특징은 객체의 현재 위치를 파악하고 즉시 응답해야하며, 질의 범위도 지역적으로 제한되어 있는 점이다. 본 논문에서는 기존 연구가 가진 문제점을 해결하기 위해 메인 메모리 기반의 DBMS를 사용하며, 실내 환경에서 객체의 위치 탐색시 효율적으로 적응할 수 있는 비트맵 인덱스 기법을 제안한다.

  • PDF

B-ISDN 링 가입자망을 위한 액세스 제어 프로토콜의 공정성 제공 기법 연구 (A fairness control mechanism for access control protocol of B-ISDN ring subscriber network)

  • 남은영;이수경;송주석
    • 한국통신학회논문지
    • /
    • 제22권3호
    • /
    • pp.547-556
    • /
    • 1997
  • In this paper we suggest a dynamic quota allocation mechansim for B-ISDN(Broadband Integrated Services Digital Network) subscriber networks. The quota adaptation decision based on the number of cells in the transmission queue is made distributively by each node in the ring network. This mechanism provides both fairness and efficiency for it enables each node to adapt its quota under asymmetric traffic condition. The simulation results show that substantial improvements in access delay time and throughput can be achieved with this algorithm.

  • PDF

자동차 Anti-trap Power Window Lift Controller 설계 (Design of Automotive Anti-trap Power Window Lift Controller)

  • 차민혁;김학련;이주
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2001년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
    • /
    • pp.51-53
    • /
    • 2001
  • Permanent Magnet DC Motors are widely used in Automotive parts because they have cheap price, simple structure and high torque-speed ratio. But the motor in automotive parts is required high quality, complex function and lower price than before. This paper deals with design of controller for safety function that body trap on the automotive window. The algorithm of controller can adapt variety conditions with temperature, electrical, driving, etc.

  • PDF

TOTAL LEAST SQUARES FITTING WITH QUADRICS

  • Spath, Helmuth
    • 한국수학교육학회지시리즈B:순수및응용수학
    • /
    • 제11권2호
    • /
    • pp.103-115
    • /
    • 2004
  • A computational algorithm is developed for fitting given data in the plane or in 3-space by implicitly defined quadrics. Implicity implies that the type of the quadric is part of the model and need not be known in advance. Starting with some estimate for the coefficients of the quadric the method will alternatively determine the shortest distances from the given points onto the quadric and adapt the coefficients such as to reduce the sum of those squared distances. Numerical examples are given.

  • PDF

4G 셀룰라 망에서 적응적 핸드 오프 시간 (Adapt Ive handoff time in 4G cellular networks)

  • 김동욱;최혜은;김남기;윤현수
    • 한국정보과학회:학술대회논문집
    • /
    • 한국정보과학회 2003년도 봄 학술발표논문집 Vol.30 No.1 (C)
    • /
    • pp.536-538
    • /
    • 2003
  • 우리는 4G 셀룰라 망에서 hot spot 셀 문제를 해결하기 위해 핸드오프 시간을 동적으로 사용하는 기법을 제안한다. 즉, hot spot 셀에서 나가는 핸드오프는 가능한 빠르게 수행하여 셀 부하를 줄이고 hot spot 셀로 들어가는 핸드오프는 가능한 느리게 수행하여 사용자의 연결 품질을 최대한 고려하는 알고리즘이다. 4G 망의 특징을 고려하여 hard handoff 절차를 가지면서 기존의 mobile-assisted network-controlled handoff를 그대로 사용하여 36에서의 전이가 용이하다. 그리고 mobile IP 분야에서 연구되던 사전 등록 기법과 버퍼에 의한 저장 기법을 활용하여 핸드오프의 신뢰성을 높였다.

  • PDF

저지연 서비스를 위한 Multi-access Edge Computing 스케줄러 (Multi-access Edge Computing Scheduler for Low Latency Services)

  • 김태현;김태영;진성근
    • 대한임베디드공학회논문지
    • /
    • 제15권6호
    • /
    • pp.299-305
    • /
    • 2020
  • We have developed a scheduler that additionally consider network performance by extending the Kubernetes developed to manage lots of containers in cloud computing nodes. The network delay adapt characteristics of the compute nodes were learned during server operation and the learned results were utilized to develop placement algorithm by considering the existing measurement units, CPU, memory, and volume together, and it was confirmed that the low delay network service was provided through placement algorithm.

DECISION SUPPORT SYSTEM FOR CUTTING PARAMETERS SELECTION IN MACHINING PROCESSES USING FUZZY KNOWLEDGE

  • Balazinski, M.;Bellerose, M.;Czogala, E.
    • 한국지능시스템학회:학술대회논문집
    • /
    • 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
    • /
    • pp.798-801
    • /
    • 1993
  • This paper presents the decision support system using fuzzy knowledge to adapt the cutting conditions chosen by a conventional expert system to a particular machine tool, workpiece and clamping system. These preliminary results demonstrate the capability of fuzzy logic to adjust cutting parameters taking into account parameters difficult to quantify.

  • PDF

Malware Detector Classification Based on the SPRT in IoT

  • Jun-Won Ho
    • International journal of advanced smart convergence
    • /
    • 제12권1호
    • /
    • pp.59-63
    • /
    • 2023
  • We create a malware detector classification method with using the Sequential Probability Ratio Test (SPRT) in IoT. More specifically, we adapt the SPRT to classify malware detectors into two categories of basic and advanced in line with malware detection capability. We perform evaluation of our scheme through simulation. Our simulation results show that the number of advanced detectors is changed in line with threshold for fraction of advanced malware information, which is used to judge advanced detectors in the SPRT.

Learning Free Energy Kernel for Image Retrieval

  • Wang, Cungang;Wang, Bin;Zheng, Liping
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제8권8호
    • /
    • pp.2895-2912
    • /
    • 2014
  • Content-based image retrieval has been the most important technique for managing huge amount of images. The fundamental yet highly challenging problem in this field is how to measure the content-level similarity based on the low-level image features. The primary difficulties lie in the great variance within images, e.g. background, illumination, viewpoint and pose. Intuitively, an ideal similarity measure should be able to adapt the data distribution, discover and highlight the content-level information, and be robust to those variances. Motivated by these observations, we in this paper propose a probabilistic similarity learning approach. We first model the distribution of low-level image features and derive the free energy kernel (FEK), i.e., similarity measure, based on the distribution. Then, we propose a learning approach for the derived kernel, under the criterion that the kernel outputs high similarity for those images sharing the same class labels and output low similarity for those without the same label. The advantages of the proposed approach, in comparison with previous approaches, are threefold. (1) With the ability inherited from probabilistic models, the similarity measure can well adapt to data distribution. (2) Benefitting from the content-level hidden variables within the probabilistic models, the similarity measure is able to capture content-level cues. (3) It fully exploits class label in the supervised learning procedure. The proposed approach is extensively evaluated on two well-known databases. It achieves highly competitive performance on most experiments, which validates its advantages.

Pure Vision Contact Lens 착용자에 대안 임상 적용 연구 (A study to determine the ability to clinically adapt for wearers of the Pure Vision contact lens)

  • 김덕훈
    • 한국안광학회지
    • /
    • 제10권4호
    • /
    • pp.411-417
    • /
    • 2005
  • 본 연구의 목적은 Pure Vision 콘택트렌즈를 착용하여 착용자의 적응력을 조사하였다. 방법에서 피검자는 78명의 대학생들로 이들의 타각과 자각적 방법에 의해서 분석하였다. 매일 착용 또는 연속착용 동안 임상 적용에 대한 상대적인 결과들은 일주일 기간이 지난 후 분석을 하였다. 결과는 다름과 같다. 1. 시기능의 상태는 우수함 62.3%, 적당함 27.2%, 좋지 못함 10.6%이었다. 2. 부작용은 없음이 76.12%, 약간의 자극감이 18.21%, 그리고 심한 경험은 6.5%이었다. 3. 렌즈의 취급은 쉬움이 97.44%, 어려움이 2.56%이었다. 4. Pure Vision 렌즈의 특성에 대한 이해는 50.64%가 잘 이해를 잘하고 있었다. 결론적으로 대부분의 Pure Vision 콘택트렌즈 착용자들은 타각과 자각적으로 좋은 임상 반응을 가졌으나 약 절반정도는 렌즈의 특성을 충분히 이해하지는 못하였다.

  • PDF