• Title/Summary/Keyword: Cascade Correlation algorithm

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Multi-modulating Pattern - A Unified Carrier based PWM Method in Multi-level Inverter - Part 1

  • Nho Nguyen Van;Youn Myung Joong
    • Proceedings of the KIPE Conference
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    • 2004.07b
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    • pp.620-624
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    • 2004
  • Th is paper presents a systematical approach to study carrier based PWM techniques (CPWM) in diode-clamped and cascade multilevel inverters by using the proposed multi-modulating pattern method. This method is based on the vector correlation between CPWM and space vector PWM (SVPWM) and applicable to both multilevel inverter topologies. The CPWM technique can be described in a general mathematical equation, and obtain the same outputs similarly as of corresponding SVPWM. Control of the fundamental voltage, vector redundancies and phase redundancies in multilevel inverter can be formulated separately in the CPWM equation. The deduced CPWM can obtain a full vector redundancy control, and fully utilize phase redundancy in a cascade inverter. In the paper, CPWM equations and corresponding algorithm for generating multi-modulating signals will be performed, in which SVPWM attributes will be presented by corresponding controllable factors.

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Derivation of the Timing Constraints for Multi-Sampled Multitasks in a Real-Time Control System (다중샘플링 다중작업을 수행하는 실시간제어시스템의 시계수제한성 유도)

  • 이대현;김학배
    • Journal of Institute of Control, Robotics and Systems
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    • v.5 no.2
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    • pp.145-150
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    • 1999
  • A real-time control system, composed of the controlled processor and the controller computer(s), may have a variety of task types, some of which have tight timing-constraints in generating the correct control input. The maximum period of those task failures tolerable by the system is called the hard deadline, which depends on not only fault characteristics but also task characteristics. In the paper, we extend a method deriving the hard deadline in LTI system executing single task. An algorithm to combine the deadlines of all the elementary tasks in the same operation-mode is proposed to derive the hard deadline of the entire system. For the end, we modify the state equation for the task to capture the effects of task failures (delays in producing correct values) and inter-correlation. We also classify the type of executing the tasks according to operation modes associated with relative importance of correlated levels among tasks, into series, parallel, and cascade modes. Some examples are presented to demonstrate the effectiveness of the proposed methods.

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A Single Carrier Multi-Modulation Method In Multilevel Inverters

  • Nho Nguyen Van;Youn Myung Joong
    • Journal of Power Electronics
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    • v.5 no.1
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    • pp.76-82
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    • 2005
  • A novel variant of full multi-modulation applications to diode-clamped and cascade multilevel inverter-termed single carrier multi-modulation is presented. The proposed PWM-technique is advantageous for its simple implementation. The correlation between multi-carrier and single-carrier multi-modulations is deduced. For the PWM methods, a mathematical model of voltage source inverter and general algorithm for the multi-modulating modulator are proposed. The theory is demonstrated by simulation results

Parallel Multi-task Cascade Convolution Neural Network Optimization Algorithm for Real-time Dynamic Face Recognition

  • Jiang, Bin;Ren, Qiang;Dai, Fei;Zhou, Tian;Gui, Guan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.10
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    • pp.4117-4135
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    • 2020
  • Due to the angle of view, illumination and scene diversity, real-time dynamic face detection and recognition is no small difficulty in those unrestricted environments. In this study, we used the intrinsic correlation between detection and calibration, using a multi-task cascaded convolutional neural network(MTCNN) to improve the efficiency of face recognition, and the output of each core network is mapped in parallel to a compact Euclidean space, where distance represents the similarity of facial features, so that the target face can be identified as quickly as possible, without waiting for all network iteration calculations to complete the recognition results. And after the angle of the target face and the illumination change, the correlation between the recognition results can be well obtained. In the actual application scenario, we use a multi-camera real-time monitoring system to perform face matching and recognition using successive frames acquired from different angles. The effectiveness of the method was verified by several real-time monitoring experiments, and good results were obtained.