• 제목/요약/키워드: number system

검색결과 20,574건 처리시간 0.041초

종속 고장을 가지는 원형 Consecutive-k-out-of-n:F 시스템의 경제적 설계

  • 윤원영;김귀래;고용석;류기열
    • 한국신뢰성학회:학술대회논문집
    • /
    • 한국신뢰성학회 2000년도 추계학술대회
    • /
    • pp.387-395
    • /
    • 2000
  • Circular consecutive-k-out-of-n:F system when the failure of component is dependent is studied. We assume that the failure of a component in the system increase the failure rate of the survivor which is working just before the failed component. In this case, a mean time to failure (MTTF), a average failure number of the system, and the expected cost per unit time are obtained. Then the minimum number of consecutive failed components to cause system failure to minimize the expected cost per unit time is determined as searching paths to system failure. And various numerical examples are studied.

  • PDF

가상안테나를 이용한 스마트 안테나의 성능개선 (Improvement of Smart Antenna System Performance Using virtual antennas)

  • 임채현;문성훈;한동석
    • 대한전자공학회:학술대회논문집
    • /
    • 대한전자공학회 2001년도 하계종합학술대회 논문집(1)
    • /
    • pp.49-52
    • /
    • 2001
  • A virtual antenna system is presented to increase the channel capacity of a smart antenna in cdma2000. Although a smart antenna system can increase channel capacity by forming a beam to a desired user direction, an increase of channel capacity is limited by the number of antenna elements. A virtual antenna is proposed to improve the channel capacity by increasing the degree of freedom. The results show that the proposed system has a larger channel capacity than a conventional smart antenna system for the same number of antenna elements.

  • PDF

속성추출을 이용한 협동적 추천시스템의 성능 향상 (Performance Improvement of a Collaborative Recommendation System using Feature Selection)

  • 유상종;권영식
    • 산업공학
    • /
    • 제19권1호
    • /
    • pp.70-77
    • /
    • 2006
  • One of the problems in developing a collaborative recommendation system is the scalability. To alleviate the scalability problem efficiently, enhancing the performance of the recommendation system, we propose a new recommendation system using feature selection. In our experiments, the proposed system using about a third of all features shows the comparable performances when compared with using all features in light of precision, recall and number of computations, as the number of users and products increases.

아이핀 대량 부정발급 사고에 대한 개선방법 연구 (A Study of the Improvement Method of I-pin Mass Illegal Issue Accident)

  • 이영교;안정희
    • 디지털산업정보학회논문지
    • /
    • 제11권2호
    • /
    • pp.11-22
    • /
    • 2015
  • The almost of Web page has been gathered the personal information(Korean resident registration number, name, cell-phone number, home telephone number, E-mail address, home address, etc.) using the membership and log-in. The all most user of Web page are concerned for gathering of the personal information. I-pin is the alternative means of resident registration number and has been used during the last ten-year period in the internet. The accident of I-pin mass illegal issue was happened by hacker at February, 2015. In this paper, we analysis the problems of I-pin system about I-pin mass illegal issue accident and propose a improvement method of it. First, I-pin issue must be processed by the off-line of face certification in spite of user's inconvenience. Second, I-pin use must be made up through second certification of password or OTP. The third, the notification of I-pin use must be sent to the user by the text messaging service of cell-phone or the E-mail. The forth, I-pin must be used an alternative means of Korean resident registration number in Internet. The methods can reduce the problems of I-pin system.

New Error Control Algorithms for Residue Number System Codes

  • Xiao, Hanshen;Garg, Hari Krishna;Hu, Jianhao;Xiao, Guoqiang
    • ETRI Journal
    • /
    • 제38권2호
    • /
    • pp.326-336
    • /
    • 2016
  • We propose and describe new error control algorithms for redundant residue number systems (RRNSs) and residue number system product codes. These algorithms employ search techniques for obtaining error values from within a set of values (that contains all possible error values). For a given RRNS, the error control algorithms have a computational complexity of $t{\cdot}O(log_2\;n+log_2\;{\bar{m}})$ comparison operations, where t denotes the error correcting capability, n denotes the number of moduli, and ${\bar{m}}$ denotes the geometric average of moduli. These algorithms avoid most modular operations. We describe a refinement to the proposed algorithms that further avoids the modular operation required in their respective first steps, with an increase of ${\lceil}log_2\;n{\rceil}$ to their computational complexity. The new algorithms provide significant computational advantages over existing methods.

MATHEMATICAL IMAGE PROCESSING FOR AUTOMATIC NUMBER PLATE RECOGNITION SYSTEM

  • Kim, Sun-Hee;Oh, Seung-Mi;Kang, Myung-Joo
    • Journal of the Korean Society for Industrial and Applied Mathematics
    • /
    • 제14권1호
    • /
    • pp.57-66
    • /
    • 2010
  • In this paper, we develop the Automatic Number Plate Recognition (ANPR) System. ANPR is generally composed of the following four steps: i) The acquisition of the image; ii) The extraction of the region of the number plate; iii) The partition of the number and iv) The recognition. The second and third steps incorporate image processing technique. We propose to resolve this by using Partial Differential Equation(PDE) based segmentation method. This method is computationally efficient and robust. Results indicate that our methods are capable to recognize the plate number on difficult situations.

로봇의 위치계산을 위한 포인트 개수 알고리즘 (Point Number Algorithm for Position Identification of Mobile Robots)

  • 유강;손영익;김갑일
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
    • /
    • pp.427-429
    • /
    • 2005
  • This paper presents the use of Point Number Algorithm (PNA) for real-time image processing for position identification of mobile robot. PNA can get how many points in the image gotten from the robot vision and can calculate the distance between the robot and the wall by the number of the points. The algorithm can be applied to a robot vision system enable to identify where it is in the workspace. In the workspace, the walls are made up by white background with many black points on them evenly. The angle of the vision is set invariable. So the more black points in the vision, the longer the distance is from the robot to the wall. But when the robot does not face the wall directly, the number of the black points is different. When the robot faces the wall, the least number of the black points can be gotten. The simulation results are presented at the end of this paper.

  • PDF

Implications of the Dunbar Number in Collective Intelligence based on Social Network Services

  • Kim, Tae-Won;Jung, Jae-Rim;Kim, Sang-Wook
    • International Journal of Contents
    • /
    • 제8권3호
    • /
    • pp.1-6
    • /
    • 2012
  • This study establishes a simple Causal Map in order to understand the structure of Social Network Services(SNS). From this, the paper proposes a simulation with drawing Simulation Model and it examines whether a Dunbar Number is available for the emergence of collective intelligence based on an on-line network. Through my analytical research, it turn out both Closed SNS and Open SNS have their own Dunbar Number. However, it appear that Open SNS can expand infinitely as it has a unique property namely weak tie. This implies that it is significant for a system or policy to be developed in order to overcome the problem of Dunbar Number, whereas restricting the extension of a network by considering the Dunbar Number would have a negative impact on emergence of collective intelligence.

The Effect of the Number of Training Data on Speech Recognition

  • Lee, Chang-Young
    • The Journal of the Acoustical Society of Korea
    • /
    • 제28권2E호
    • /
    • pp.66-71
    • /
    • 2009
  • In practical applications of speech recognition, one of the fundamental questions might be on the number of training data that should be provided for a specific task. Though plenty of training data would undoubtedly enhance the system performance, we are then faced with the problem of heavy cost. Therefore, it is of crucial importance to determine the least number of training data that will afford a certain level of accuracy. For this purpose, we investigate the effect of the number of training data on the speaker-independent speech recognition of isolated words by using FVQ/HMM. The result showed that the error rate is roughly inversely proportional to the number of training data and grows linearly with the vocabulary size.

Aerodynamic Design of a Novel Low-Reynolds-Number Airfoil for Near Space Propellers

  • Zhang, Shunlei;Yang, Xudong;Song, Bifeng;Song, Wenping
    • International Journal of Aerospace System Engineering
    • /
    • 제2권1호
    • /
    • pp.53-57
    • /
    • 2015
  • For improving the efficiency of near space propellers working over 20km, performances of their streamwise sections, i.e. low-Reynolds-number airfoils which work at $10^4-10^5$ Reynolds numbers, are significant. Based on the low-Reynolds-number CFD technology, this paper designs a novel low-Reynolds-number airfoil. Unsteady characteristics of the laminar separation bubble on novel airfoil and a typical conventional airfoil are studied numerically, and the Reynolds number effect is investigated. Results show that at $10^4-10^5$ Reynolds numbers, unsteady aerodynamic characteristics of the novel airfoil are severely weakened and its lift-to-drag ratio can increase about 100%.