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Annual IEEE Conference on Applied Power Electronics Conference and Exposition (APEC)

作者： Hyosung Kim Sang-Joon Lee Seung-Ki Sul Department of Control Engineering Cheonan National Technical College South Korea School of Electrical Engineering and Computer Science Seoul National University South Korea

This paper discusses how to calculate the compensation voltages in dynamic voltage restorers (DVR) by use of PQR power theory. Directly sensed three-phase voltages are transformed to p-q-r coordinates without time delay, then the reference voltages in p-q-r coordinates have very simple form: dc values. The controller in p-q-r coordinates is very simple and clear, has better steady state and dynamic performance than conventional controllers. The controlled variables in p-q-r coordinates are then inversely transformed to the original a-b-c coordinates instantaneously, generating reference compensation voltages to a DVR. The control algorithm can be used for various kinds of series compensators such as dynamic voltage restorers (DVR), series active filters (SAP), synchronous static series compensators (SSSC), and bootstrap variable inductances (BVI). The control algorithm was applied to an experimental DVR system. The experimental results verified the performance of the proposed control algorithm.

关键词： Voltage control control systems Steady-state Circuit faults Delay effects Power system restoration Power quality control engineering Educational institutions computer science

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Photovoltaic power forecasting with a rough set combination method

Photovoltaic power forecasting with a rough set combination ...

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UKACC International Conference on control (control)

作者： Xiyun Yang Jie Ren Hong Yue School of Control and Computer Engineering North China Electric Power University Beijing China Department of Electronic and Electrical Engineering University of Strathclyde Glasgow UK

One major challenge with integrating photovoltaic (PV) systems into the grid is that its power generation is intermittent and uncontrollable due to the variation in solar radiation. An accurate PV power forecasting is crucial to the safe operation of the grid connected PV power station. In this work, a combined model with three different PV forecasting models is proposed based on a rough set method. The combination weights for each individual model are determined by rough set method according to its significance degree of condition attribute. The three different forecasting models include a past-power persistence model, a support vector machine (SVM) model and a similar data prediction model. The case study results show that, in comparison with each single forecasting model, the proposed combined model can identify the amount of useful information in a more effective manner.

关键词： Predictive models Power generation Forecasting Data models Support vector machines Rough sets Atmospheric modeling

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Bleeding Simulation with Physical Visco-Elasticity and its Application to Virtual Surgery

SSRN

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SSRN 2023年

作者： Sun, Pengyu Liu, Peter Xiaoping School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing100044 China Department of Systems and Computer Engineering Carleton University OttawaON Canada

Background and objectives: Being composed of blood cells and plasma, the blood flow has different rheological properties from common fluids. However, current bleeding simulations mostly focus on the morphology of blood, but ignore the special rheological properties of blood flow. In this paper, we consider the effect of the aggregation behavior of red blood cells on the blood flow process, in order to improve the visual fidelity of bleeding ***: In particular, the elastic force caused by viscoelastic fluid elasticity is incorporated into the standard N-S momentum equation, and an improved momentum equation which characterizes the rheological characteristics of viscoelastic blood is constructed. The obtained new momentum equation is solved by using the smooth particle hydrodynamic (SPH) *** and Conclusions: The effect of introducing elastic force on the motion of particles is analyzed from the microscopic particle perspective by designing a two-dimensional particle system. Simulation results show that the presented method improves the simulation realism of the diffusion process of viscoelastic blood, and in the meantime, eliminates the discontinuous boundary due to blood gushing out of the wound. Additionally, the presented method is able to simulate the viscoelastic rheological properties of bleeding without significant distortion even when the number of bleeding particles is small. © 2023, The Authors. All rights reserved.

关键词： Navier Stokes equations

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CLSIFT: An optimization study of the scale invariance feature transform on GPUs

CLSIFT: An optimization study of the scale invariance featur...

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15th IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 11th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2013

作者： Wang, Weiyan Zhang, Yunquan Guoping, Long Yan, Shengen Jia, Haipeng Lab. of Parallel Software and Computational Science Institute of Software Chinese Academy of Sciences China State Key Laboratory of Computing Science Institute of Software Chinese Academy of Sciences China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9780769550886

Scale Invariance Feature Transform (SIFT) is quite suitable for image matching because of its invariance to image scaling, rotation and slight changes in illumination or viewpoint. However, due to high computation complexity it's technically challenging to deploy SIFT in real time application situations. To address this problem, we propose CLSIFT, an OpenCL based highly speeded up and performance portable SIFT solution. Important optimization techniques employed in CLSIFT such as: (1) For less global memory traffic, independent logical functions are merged into the same kernel to reuse data.(2) loop buffers are introduced in for data and intermediate results reusing.(3)Task queue used to schedule threads in the same branch to remove branch divergences. (4) Data partition is based on the statics patterns for workload balance among workgroups. (5) Overlap of CPU time and better parallel strategies are used too. With all mentioned efforts, CLSIFT processes lena. jpg at 74.2 FPS and 43.4FPS respectively on NVidia and AMD GPUS, much higher than CPU's nearly 10 FPS and the known fastest SIFTGPU's 39.8 FPS and 13FPS. Moreover in a quantitative comparison approach we analyze those successful strategies beating SIFTGPU, a famous existing GPU implementation. Additionally, we observe and conclude that NVidia GPU achieves better occupancy and performance due to some factors. Finally, we summarize some techniques and empirical guiding principles that may be shared by other applications on GPU. © 2013 IEEE.

关键词： Graphics processing unit

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Ante-Hoc Generation of Task-Agnostic Interpretation Maps

Ante-Hoc Generation of Task-Agnostic Interpretation Maps

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IEEE computer Society Conference on computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Akash Guna R T Raul Benitez Sikha O K Department of Computer Science and Engineering Amrita School of Engineering Coimbatore India Departament of Automatic Control Universitat Politècnica de Catalunya-BarcelonaTech Spain

Existing explainability approaches for convolutional neural networks (CNNs) are mainly applied after training (post-hoc) which is generally unreliable. Ante-hoc explainers trained simultaneously with the CNN are more reliable. However, current ante-hoc explanation methods mainly generate inexplicit concept-based explanations tailored to specific tasks. To address these limitations, we propose a task-agnostic ante-hoc framework that can generate interpretation maps to visually explain any CNN. Our framework simultaneously trains the CNN and a weighting network - an explanation generation module. The generated maps are self-explanatory, eliminating the need for manual identification of concepts. We demonstrate that our method can interpret classification, facial landmark detection, and image captioning tasks. We show that our framework is explicit, faithful, and stable through experiments. To the best of our knowledge, this is the first ante-hoc CNN explanation strategy that produces visual explanations generic to CNNs for different tasks.

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Screw-Based Kinematic Modeling and Geometric Analysis of Planar Mobile Robots

Screw-Based Kinematic Modeling and Geometric Analysis of Pla...

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IEEE International Conference on Mechatronics and Automation

作者： Byung-Ju Yi Whee Kuk Kim School of Electrical Engineering and Computer Science Hanyang University Ansan Gyeonggi South Korea Department of Control and Instrumentation Engineering Korea University South Korea

Typical mobile robots can be modeled as parallel mechanisms by employing an interfacing variable between the ground and the wheels. Based on this conception, this work employs the screw theory as an alternative approach to model such parallel-natured mobile robots. The screw approach not only facilitates the geometric interpretation in the process of inverse and forward kinematics by employing the concept of reciprocal screws, but also provides a meaningful closed-form solution. Specifically, in this work the screw-based kinematic modeling and geometric analysis are carried out for the popular differential-driven mobile robot with a caster wheel. This work shows that the screw-based kinematic approach not only facilitates kinematic modeling for different generalized inputs, but also provides a useful tool to model the redundant actuation case. The proposed approach can also be applied to kinematic modeling and analysis of general type of mobile robots.

关键词： Solid modeling Mobile robots Fasteners Wheels Robot kinematics Jacobian matrices Mechatronics Robotics and automation computer science Closed-form solution

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Power Management by Brain Emotional Learning Algorithm

Power Management by Brain Emotional Learning Algorithm

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2007 7th International Conference on ASIC Electronic Version(ASICON 2007)

作者： Mehrzad Samadi Ali Afzali-Kusha Caro Lucas Nanoelectronics Center of Exellence School of Electrical and Computer Engineering University of Tehran TehranIran Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran TehranIran

Nowadays having the most energy efficiency is desirable in its own right from both economical and environmental points of *** power management is a system level solution for reducing the consumed energy with putting off unused parts of the system and putting them on in an efficient *** Emotional Learning Algorithm has been introduced to show the effect of emotions as well known stimuli in the quick and almost satisfying decision making in *** remarkable properties of emotional learning,low computational complexity and fast training,and its simplicity in multi objective problems has made it a powerful methodology in real time control and decision systems,where the gradient based methods and evolutionary algorithms are hard to be used due to their high computational *** the emotional approach has been successfully used to obtain multiple objectives in prediction problems of real world *** first we introduce methods of dynamic power management and then a new method based on BELBIC would be *** simulation results show that this method has a high efficiency in various systems.

关键词： Power Management by Brain Emotional Learning Algorithm

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Research and design of control system for a tracked SAR robot under coal mine

Research and design of control system for a tracked SAR robo...

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IEEE International Conference on Automation and Logistics

作者： Yibin Li Caihong Li Ping Chen School of Control Science and Engineering Shandong University Jinan Shandong China School of Computer Science and Technology Shandong University of Technology Zibo Shandong China

ISBN: (纸本)9781424447947

A search and rescue (SAR) robot, named LUKER-I, is introduced to replace people to access to the accident scene when the underground gas and dust explosion happen under coal mine. The body of robot LUKER-I adopts tracked differential driven means, and has a fin arm tracked institutions. Robot can cross the barriers such as stairs, ditches, steep slopes and convex units based on different swing angle assistant. The control system uses two layers architecture, namely the bottom control network and IPC. IPC is mainly in charge of data acquisition, compression, and transmission of the voice and images of the scene. While the bottom layer uses CAN bus network to achieve the maintainability, expanded performance, and real-time control based on modular and distributed control. The working principle and design means of the robot are described detail in the paper. A modular method is used to carry out a detailed design.

关键词： control systems Mobile robots Layout Robot sensing systems Robotics and automation Accidents Explosions Data acquisition Image coding Distributed control

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Mtd-Yolov5:Improved Yolov5 Based Multi-Scale Feature Fusion Enhancement Strategy for Marine Target Detection

SSRN

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SSRN 2023年

作者： Wei, Lian-Suo Huang, Shen-Hao Ma, Long-Yu School of Information Engineering Suqian University jiangsu Suqian223800 China College of Computer & Control Engineering Qiqihar University Heilongjiang Qiqihar161006 China

The complex ocean environment leads to low contrast in underwater images and poor target visibility. In addition, the detected objects have multi-scale properties and clustering issues, making marine object detection a challenging task. In this paper, we propose MTD-YOLOv5, an object detection model that leverages a multi-scale feature fusion augmentation strategy to enhance detection performance. First, we enhance the image by applying gray equalization and color space transformation. Then, we design a novel feature extraction module named PCBR, which combines max-pooling and convolution layers to better distinguish objects from backgrounds. Furthermore, we propose a multi-scale receptive field hybrid pooling (MHP) module, which combines horizontal and vertical receptive fields to build long-range dependencies, thereby capturing hidden target information present in high-level contexts. The experimental results show that the accuracy of MTD-YOLOv5 proposed in this paper is 2.6% higher than that of the original YOLOv5. © 2023, The Authors. All rights reserved.

关键词： Object detection

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Design and analysis of a new parallel grasper having spherical motion

Design and analysis of a new parallel grasper having spheric...

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IEEE International Workshop on Intelligent Robots and Systems (IROS)

作者： Byung-Joon Park Byung-Ju Yi Whee-Kuk Kim School of Electrical Engineering and Computer Science Hanyang University Ansan South Korea Department of Control and Instrumentation Engineering Korea University Chungnam South Korea

A new parallel grasper mechanism having 3-DOF spherical motions is proposed. The mechanism consists of one parallel four-bar chain and four serial sub-chains that are connected in parallel to the four-bar chain. Particularly, all joint axes of the mechanism are placed to have a common intersection point securing that all joint motion spaces of the mechanism are confined within the 3-DOF spherical motion spaces. Thus, the mechanism can not only grasp irregular shaped objects by changing configuration of its four-bar chain, but also exhibit 3 DOF spherical motions after grasping. The position analysis and kinematic analysis of the mechanism are performed. Also, its kinematic characteristics are investigated through simulation in aspects of three kinematic design indices. Lastly, a prototype was developed and tested through motion tracking and grasping experiments.

关键词： Motion analysis Kinematics Grippers Parallel robots Manipulators Shoulder computer science Performance analysis Prototypes Testing

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