• Title/Summary/Keyword: 카운팅

Search Result 65, Processing Time 0.021 seconds

A Newly Developed Mixed-Mode BIST (효율적인 혼합 BIST 방법)

  • 김현돈;신용승;김용준;강성호
    • Journal of the Institute of Electronics Engineers of Korea SD
    • /
    • v.40 no.8
    • /
    • pp.610-618
    • /
    • 2003
  • Recently, many deterministic built-in self-test schemes to reduce test time have been researched. These schemes can achieve a good quality test by shortening the whole test process, but require complex algorithms or much hardware. In this paper, a new deterministic BIST scheme is provided that reduces the additional hardware requirements, as well as keeping test time to a minimum. The proposed BIST (Built-In Self-Test) methodology brings about the reduction of the hardware requirements for pseudo-random tests as well. Theoretical study demonstrates the possibility of reducing the hardware requirements for both pseudo-random and deterministic tests, with some explanations and examples. Experimental results show that in the proposed test scheme the hardware requirements for the pseudo-random test and deterministic test are less than in previous research.

An Efficient Group Key Management Scheme using Counting Bloom Filter in VANET (VANET에서 카운팅 블룸 필터를 사용한 효율적인 그룹 키 관리 기법)

  • Lee, SuYoun;Ahn, HyoBeom
    • Convergence Security Journal
    • /
    • v.13 no.4
    • /
    • pp.47-52
    • /
    • 2013
  • VANET(Vehicular Ad-hoc Network) is a kind of ad hoc networks which is consist of intelligence vehicular ad nodes, and has become a hot emerging research project in many fields. It provides traffic safety, cooperative driving and etc. but has also some security problems that can be occurred in general ad hoc networks. In VANET, it has been studies that group signature method for user privacy. However, among a group of group key generation phase and group key update phase, RSU(Road-Side Unit) and the computational overhead of the vehicle occur. In this paper, we propose an efficient group key management techniques with CBF(Counting Bloom Filter). Our group key management method is reduced to the computational overhead of RSU and vehicles at the group key generation and renewal stage. In addition, our method is a technique to update group key itself.

Laser-Induced Fluorescence Characterization for Real-Time Microplastic Counting (실시간 미세플라스틱 카운팅을 위한 레이저 유도 형광 특성 분석)

  • Ko, Seunghyeon;Oh, Geum-Yoon
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
    • /
    • v.35 no.2
    • /
    • pp.149-154
    • /
    • 2022
  • In this paper, laser-induced fluorescence properties of four plastics were characterized through spectrometer analysis for real-time microplastic counting. Recently, environmental problems related to microplastics have emerged. In order to detect microplastics, analysis methods such as FT-IR and Raman are used. However, they have the disadvantages of being time-consuming and requiring a pretreatment process. In most plastic products on the market, 10% to 30% of plasticizers and reinforcing agents are added. Therefore, most microplastics present in seawater and freshwater emit fluorescence signals by 270 nm UV light source regardless of their type due to their molecular structure due to additives. Real-time microplastics counting is possible more easily by using the proposed laser-induced fluorescence detection method because of the fluorescence expression characteristic of 340 nm that appears due to the plasticizer of plastics.

Design of a Zone-based Population Estimation System using Deep Learning Image Recognition for Digital Twin (딥러닝 영상인식을 이용한 디지털 트윈 기반 구역별 유동 인구 추정 시스템 설계)

  • Ok-Kyoon Ha;Jin-chan Kim;Yong-jin Kim;Yong-hun Ok;Dong-hun Na;Uk-ryeol Lee
    • Proceedings of the Korean Society of Computer Information Conference
    • /
    • 2023.07a
    • /
    • pp.41-42
    • /
    • 2023
  • 인구 밀집도가 높은 곳에서의 안전사고 대응과 이에 대한 예방을 위한 기술 및 해결 방안의 필요성이 증가하고 있다. 이를 위한 기존의 기술들은 지능형 CCTV 기반의 경고 알림을 울리는 방식과 스마트폰의 신호를 수집하여 유동인구를 측정하는 기술 등이 사용되고 있다. 그러나 군중 밀집 사고의 원인인 병목현상과 군중 난류 현상까지 대응하지는 못하는 문제점이 있다. 본 논문에서는 CCTV로부터 수집된 영상 정보만으로 딥러닝 영상인식 기술을 이용하여 병목현상이 일어나기 쉬운 출입구의 유·출입 인구 카운팅과 광장의 밀집도 분석을 디지털 트윈 기반으로 실시하고 이를 통해 위험 상황 발생 시 출입구의 통제와 대피를 위한 안내가 가능한 시스템을 제시한다. 제시하는 시스템은 유동 인구가 많고 인구의 급격한 밀집으로 인해 발생할 수 있는 안전사고의 예방과 이를 해결하기 위한 통제 및 안내를 위한 대처 방법으로 활용할 수 있다.

  • PDF

Load capacity simulation of PTO gears for a small cultivator during rotary ditching operation (구굴 작업에 따른 소형 관리기의 PTO 기어 부하 용량 시뮬레이션)

  • Lee, Pa-Ul;Choi, Changhyun;Choi, Youngsoo;Lee, Lijung;Kim, Yongjoo
    • Proceedings of the Korean Society for Agricultural Machinery Conference
    • /
    • 2017.04a
    • /
    • pp.11-11
    • /
    • 2017
  • 지속적인 고령화 추세에 따라 여성과 고령층의 노동력이 차지하는 비율이 높아지고 있어, 사용하기 편리한 소형농기계의 요구가 증가하고 있는 실정이다. 본 연구에서 사용한 소형 관리기는 정식 작업 전 경운, 정지 등 다양한 작업이 가능한 농기계이다. 본 연구에서는 소형 관리기에 토크 측정 시스템을 구성하였으며, 작업 중 가장 큰 부하를 받는 구굴 작업 부하를 측정하였다. 또한, 작업 시 가장 직접적으로 영향을 받는 PTO (Power Take Off) 기어의 부하 용량(load capacity)을 기어 해석 소프트웨어를 이용하여 분석하였다. PTO 기어의 부하 용량은 안전율, 피로수명을 대상으로 평가하였다. 측정된 부하 데이터는 변동 하중이므로, 부하 크기와 빈도수의 규칙적인 신호로 단순화하기 위하여 레인플로우 카운팅 방법을 사용하였으며, SWT (Smith-Watson-Topper) 방법을 이용하여 공칭 토크를 계산하였다. PTO 기어의 안전율은 ISO 6336, 피로 수명은 마이너 법칙(Miner rule)을 이용하여 계산하였다. PTO의 변속 단수 총 2단이며, 5개의 스퍼 기어로 구성되어 있다. 시뮬레이션 결과, 소형 관리기의 주행 속도 또는 PTO의 회전속도 증가에 따라 PTO에서 발생하는 평균 부하가 크게 나타났다. 또한 주행 단수 및 PTO 기어 단수가 증가할수록 기어의 안전율과 피로 수명이 감소하였으며, 특히 PTO 기어의 안전율은 접촉 응력에서의 안전율보다 굽힘 응력에서의 안전율이 급격하게 감소하였다. 소형 관리기의 PTO 수명은 주행 단수 2단, PTO 단수 2단 일 때 가장 적게 나타났다. 따라서 소형 관리기의 주행 속도와 PTO 회전 속도를 저속으로 작업하는 것이 PTO 기어의 수명에 더 유리할 것으로 판단된다.

  • PDF

Fractal Analysis of the Carbonization Pattern Formed on the Surface of a Phenolic Resin (페놀수지 표면에 형성된 탄화패턴에 대한 프랙탈 해석)

  • Kim, Jun-Won;Park, Sang-Taek;Roh, Young-Su
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
    • /
    • v.24 no.1
    • /
    • pp.124-129
    • /
    • 2010
  • When a phenolic resin is carbonized by the leakage current flowing along its surface, the carbonization pattern is one of the most important factors to determine its carbonization characteristics. However, the typical carbonization pattern of a phenolic resin is too complicated to be analyzed by conventional Euclidean geometry. In most cases, such a complicated shape shows a fractal structure. It is possible, therefore, to examine the characteristics of the carbonization pattern regarding a given phenolic resin. In order to quantitatively investigate the carbonization pattern of the phenolic resin carbonized by a leakage current, in this paper, the fractal dimension of the carbonization pattern has been calculated as a function of the magnitude of a leakage current and the distance between two electrodes. For reliability of calculation, the correlation function as well as the box counting method has been used to calculate the fractal dimension. According to the result of calculation, the fractal dimension increases as the current increases at the constant electrode gap distance. However, there is no significant relation between the fractal dimension and the electrode gap distance at a constant current.

Development of Teaching and Learning Methods Based on Algorithms for Improving Computational Thinking (컴퓨팅사고력 향상을 위한 알고리즘 기반의 교수학습방법 개발)

  • Lim, Seoeun;Jeong, Youngsik
    • Journal of The Korean Association of Information Education
    • /
    • v.21 no.6
    • /
    • pp.629-638
    • /
    • 2017
  • This study investigated the definition and characteristics of computer science problem to be solved through computational thinking. It also explored types and cases of both computer science problems and teaching learning methods to solve computer science problems. Before studying computer science problems, I examined the definition, type, and the importance of problem solving in other subjects. Based on this research, We found that informatics can solve ill-structured problems through computational thinking and the power of computing. This includes counting, decision, retrieval, and optimization problems. Teachers can improve their students' skills in computational thinking, particularly as related to abstraction, automation, and generalization, by choosing the appropriate teaching and learning method or based on the characteristics of the problem.

Processing of Sensor Data Stream for OSGi Frameworks (OSGi를 위한 실시간 센서 데이터스트림 처리 방법)

  • Cha, Ji-Yun;Byun, Yung-Cheol;Lee, Dong-Cheal
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.13 no.5
    • /
    • pp.1014-1021
    • /
    • 2009
  • In an environment of home network where a number of technologies including heterogeneous hardware platforms, networking and protocols, middleware systems, and etc, exist, OSGi provides a platform for deployment and sharing of services managed in hardware and guarantees compatibility among applications. However, only simple control and processing of event data are considered in a home network using OSGi, and the consideration about real time processing of data stream generated by sensors is not enough. Therefore, researches allowing users to effectively develop OSGi applications by using various kinds of sensors generating data streams in the home network environment using OSGi are needed. In this paper, we propose an effective method of processing various types of real time data streams supplied to OSGi applications, including filtering, grouping, and counting, etc.

A Real-time People Counting Algorithm Using Background Modeling and CNN (배경모델링과 CNN을 이용한 실시간 피플 카운팅 알고리즘)

  • Yang, HunJun;Jang, Hyeok;Jeong, JaeHyup;Lee, Bowon;Jeong, DongSeok
    • Journal of the Institute of Electronics and Information Engineers
    • /
    • v.54 no.3
    • /
    • pp.70-77
    • /
    • 2017
  • Recently, Internet of Things (IoT) and deep learning techniques have affected video surveillance systems in various ways. The surveillance features that perform detection, tracking, and classification of specific objects in Closed Circuit Television (CCTV) video are becoming more intelligent. This paper presents real-time algorithm that can run in a PC environment using only a low power CPU. Traditional tracking algorithms combine background modeling using the Gaussian Mixture Model (GMM), Hungarian algorithm, and a Kalman filter; they have relatively low complexity but high detection errors. To supplement this, deep learning technology was used, which can be trained from a large amounts of data. In particular, an SRGB(Sequential RGB)-3 Layer CNN was used on tracked objects to emphasize the features of moving people. Performance evaluation comparing the proposed algorithm with existing ones using HOG and SVM showed move-in and move-out error rate reductions by 7.6 % and 9.0 %, respectively.

Comparative Study on Wave Induced Fatigue Analysis Methods for Steel Catenary Riser (파랑하중에 의한 Steel Catenary Riser 피로손상 평가 방법의 비교검토)

  • Lee, Jeong-Dae;Lee, Sung-Je;Jang, Chang-Hwan;Jun, Seock-Hee;Oh, Yeong-Tae
    • Journal of the Society of Naval Architects of Korea
    • /
    • v.52 no.3
    • /
    • pp.222-235
    • /
    • 2015
  • The purpose of this study is to suggest guidelines for riser fatigue analysis in terms of selection of reasonable analysis method. Three analysis methods (spectral, regular wave, rain-flow counting) are introduced and compared. As the riser systems give non-linear response, the time-domain analysis method is more preferred than frequency-domain analysis method. The spectral fatigue analysis method, however, is still useful for identifying fatigue prone areas. Once stress RAO is established, fatigue damage can be calculated very quickly. The regular wave method and the rain-flow counting method are more time consuming but give more exact results compare to spectral method. In case of regular wave method, a set of regular waves which represent random sea states is considered for dynamic analysis. The rain-flow counting method is the most intuitive and exact method because it refers time history stresses containing most of non-linear effects of the riser system. However, it is not common for early design stage to use rain-flow counting method because of its high cost. In this study, it was confirmed that the regular wave method is the most cost effective way in specific cases. However, if the system is highly non-linear, it seems that the regular wave method gives less accurate results than rain-flow counting method. Therefore, it is imperative that the engineers select appropriate analysis method based on design stage and given engineering period. This paper also discusses the theoretical background of each calculation method and hydrodynamic aspects of marine riser systems. A steel catenary riser (SCR) line on FPSO was considered and marine dynamic program (OrcaFlex) was used for static and dynamic analysis.