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A program compression technique supporting IP-centric SOC design

A program compression technique supporting IP-centric SOC de...

引用

Annual ieee international ASIC/SOC conference

作者： Chingwei Yeh Chi-Shong Wang Department of Electrical Engineering National Chung Cheng University Chiayi Taiwan

ISBN: (纸本)0780365984

RISC architecture plays a major role in recent embedded systems design. the notorious drawback of a RISC machine is its poor code density. Many research works have been proposed to reduce the code density. However, they either need a sophisticated compression-decompression mechanism, or are suitable for specific applications. In this paper, a method to compress a post-compilation program is proposed to improve code density while introducing minimal hardware overhead. the salient features of our technique are: (1) the decompression circuitry depends only on the instruction set of a processor and so is reusable for any application running on the same processor; and (2) there is no limitation on the size of the program to be compressed. We demonstrate our technique on SPEC CINT95 benchmark programs using the ARM7TDMI instruction set and achieve an average code size reduction of 19.8%.

关键词： Reduced instruction set computing Embedded system Hardware Energy consumption Costs system-on-a-chip Circuits Modems TV control systems

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Design of an Automation system for the Production of Soil-Cement Blocks

Design of an Automation System for the Production of Soil-Ce...

引用

ieee Annual computing and Communication Workshop and conference (CCWC)

作者： Deyvid Froilán Matamoros-Paitán Efrain Junior Dolorier-Flores Faifer Alanya-Almonacid Albert Jorddy Valenzuela-Inga Juan Gabriel Benito-Zuñiga Jesus Angel Huamán-Chavez Lizbett N. Mantari-Ramos Giovene Perez-Campomanes Department of Civil Engineering Universidad Continental Huancayo Peru Department of Mechatronic Engineering Universidad Continental Huancayo Peru

the emission of greenhouse gases produced by industries is an increasingly worrying factor in the world, as these gases destroy the ozone layer, including the emission of CO2 from the manufacture of handmade bricks with kilns during the vitrification process. the objective of this research was to determine the compressive strength and its analysis of the cost of manual manufacture of an ecological, sustainable material such as soil-cement blocks; in addition, an automated system was proposed for the production of these blocks using engineering software such as Factory IO and TIA Portal. As a result, it was obtained that with a 15% cement content in the blocks, an average mechanical resistance of 8.47 MPa was achieved; however, the manufacturing cost was minimally higher than that of industrialised bricks by 4.17%. Finally, it was concluded that blocks with 15% cement are an alternative for housing construction due to the high compressive strength, the automation to manufacture these blocks makes the cost lower due to the reduction of skilled labour. Likewise, it has been demonstrated that a mechatronic control by means of a PLC provides a productive process of soil-cement blocks because it improves and accelerates the manufacturing processes of this complex product, all by means of the use of multiple sensors and tank filling times depending on the process.

关键词： Resistance Gases Costs Automation Process control Vitrification Software

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LabVIEW-based Design of Smart Wireless Monitoring system for Cardiac Patients

LabVIEW-based Design of Smart Wireless Monitoring System for...

引用

ieee international conference on system engineering and Technology

作者： Ruqaya Muataz Mahmood Ahmed R. Ajel Jameel Kadhim Abed Rawnaq Adnan Mahmod Ayad Al-Dujaili Amjad Jaleel Humaidi Electrical Eng.Technical College Middle Technical University Iraq-Baghdad Training & Energy Researches Office Ministry of Electricity Iraq-Baghdad Control and Systems Eng. Dept University of Technology Iraq-Baghdad

In recent decades, heart disease has emerged as a major threat to public health. the challenge problem in such diseases is to diagnose the problems in the heart early before get a critical threat in human’s life. In this study, ECG surveillance system has been designed and implemented in real-time environment to detect and diagnose the heart disease with low cost and burden on patients. the real-time implementation of the device includes both hardware and software designs. the medical device AD8232 will record the patient’s electrocardiogram (ECG) from the chest and transmit these data to a PC computer via Arduino DUE. then, the ECG data will be sent to LabVIEW programming platform to make usual medical analysis. Inside LabVIEW platform, the features of ECG features are extracted using wave transform. Subsequently, the results of analysis will be sent to IOT, where it is received by the thing Speak server, from where it can be accessed by a doctor or hospital via a mobile device for diagnosis.

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Multimodel Predictive control for Wastewater Treatment Process with Multirate Sampling Intervals

Multimodel Predictive Control for Wastewater Treatment Proce...

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ieee international conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Shijia Fu Haoyuan Sun Zheng Liu Honggui Han Yan Zhang Faculty of Information Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Engineering Research Center of Digital Community Ministry of Education Beijing University of Technology Beijing China China Academy of Information and Communications Technology Beijing China

Influenced by the biochemical reactions and sensor characteristics, the wastewater treatment process (WWTP) has been regarded as a multirate sampling system. To deal with the asynchronous control problem caused by multirate sampling, a multimodel predictive control (MMPC) scheme is proposed to improve the operation performance of WWTPs. First, a multimodel predictive control structure is constructed such that the controlled variables with multirate sampling intervals of WWTPs are able to be tracked synchronously at each sampling instant. Second, the fuzzy neural networks (FNNs) are adopted as the carrier for multimodel to compute the synchronous prediction outputs of all controlled variables at each sampling instant. Moreover, an adaptive cost function is excogitated to obtain the optimal control action in which the adaptive parameter is to minimize the impact of forecast errors on the tracking effect. Ultimately, the experiment results on the benchmark simulation model 1 (BSM1) have verified the efficiency of the proposed MMPC.

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Comprehensive Evaluation Index system and Method for Reactive Power Support Capability of Wind/Photovoltaic/Storage Power Stations

Comprehensive Evaluation Index System and Method for Reactiv...

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ieee international conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Jinyuan Fang Kai Hou Yingwei Jiang Bingtuan Gao Guozhong Zhang Xuewei Shi School of Electrical Engineering Southeast University Nanjing Jiangsu China State Key Laboratory of Smart Grid Protection and Control Nanrui Group Co. Nanjing Jiangsu China State Grid Hebei Zhangjiakou Scenery Storage and Transmission New Energy Co. Ltd Zhangjiakou Hebei China

High proportion of renewable energy integrated into the power grid results in lower system inertia and deterioration of voltage characteristics. Understanding the reactive power support characteristics of wind/photovoltaic (PV) /storage power station is critical for achieving coordinated control of their reactive power. In this regard, the paper proposes a comprehensive evaluation index system that considers voltage, reactive power support, and reactive power control to evaluate the reactive power support capability of wind/photovoltaic/storage power station. To validate the effectiveness of the index system, this paper constructs a simulation scenario of a wind/photovoltaic/storage power station connected to the regional power grid and calculates the corresponding indices. the fuzzy membership function is used to normalize the indicators. the subjective and objective combination weighting method is used to assign values to the indicators, and the reactive power support capability ratings of each power station are calculated. Finally, the reactive power support capability of the wind/photovoltaic/storage power plant was analyzed in combination with simulation scenarios, and the effectiveness of the comprehensive evaluation index system and method was verified.

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Adaptive Impedance Zero-Force control for Skull Drilling Based on Human-Machine Interaction

Adaptive Impedance Zero-Force Control for Skull Drilling Bas...

引用

ieee international conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Mingchi Bi Hongtai Cheng Xiaohan Guan Zhenming Jia School of Mechanical Engineering and Automation Northeastern University Shenyang China

In recent years, robot-assisted surgery has become increasingly popular in the medical field. the current practice of craniotomy, which involves a surgeon manually operating a skull drill, is time-consuming, labor-intensive, and carries a high risk of complications. To overcome these problems, this paper proposes an adaptive impedance zero-force control method based on human-machine interaction. the proposed method uses a human-in-the-loop control system to achieve zero-force mode for the robot, while also allowing it to adaptively switch modes under different conditions. A skull drilling status model is established by monitoring changes in drilling currently and interactive force using a drilling sensor to provide drilling protection. Simulation results verify the feasibility of the algorithm for detecting changes in current peak values and also confirm the effectiveness of the drag function, mode switching under different conditions, and the function of skull drill stops by experiment. the results demonstrate that this method effectively enables mode switching and drill-stop functionality during the drag and drop process.

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Steady state probability distribution of a two-product-type and multi-parallel-machine system under prioritized hedging point control policy

Steady state probability distribution of a two-product-type ...

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ieee international conference on Automation Science and engineering (CASE)

作者： Wenliang Chen Zheng Wang Felix T. S. Chan Key Laboratory of Measure and Control of Complex Engineering Systems Southeast University Nanjing Jiangsu P. R. China Department of Industrial and Systems Engineering The Hong Kong Polytechnic University China

For a manufacturing system, we often need to evaluate its performance under a production control policy. the purpose of performance evaluation is to optimize the parameters in the control policy. In this paper, we investigate the method of evaluating the performance of a two-product-type and multi-parallel-machine manufacturing system. In order to evaluate its performance, the key is to obtain its steady-state probability distribution under a control policy. To solve this problem, firstly, we analyze the shape of distribution domains of state variables, which influence the steady-state probability balance equation. For one of these possible shapes, we develop the steady-state probability balance equations under the prioritized hedging point (PHP) control policy. From these equations, we obtain the marginal probability distribution for each product type for a two-product-type and multi-parallel-machine system, which has the similar form as the steady-state probability distribution of a one-product-type and multi-parallel-machine system. then, a unified form of probability balance equation is developed from all possible shapes of distribution domains of state variables. Finally, numerical experiments are conducted to verify the correctness of the proposed method of computing the probability distribution of a two-product-type and multi-machine system.

关键词： Steady-state Probability distribution Shape Probability density function Manufacturing systems Production control

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A Study on the Work Mode of Spacecraft Flight control from the Perspective of the Metaverse

A Study on the Work Mode of Spacecraft Flight Control from t...

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international conference on Electronics Information and Emergency Communication

作者： Kuan Zhang Zongtao Qiao Fengcai Zhao Hao Lu Beijing Aerospace Control Centre Beijing China

At present, the work of spacecraft flight control is in the downstream stage of the whole mission chain, and the flight control work mode cannot adapt to the subsequent space missions. In response to these limitations, a conceptual design of a work mode for space flight control from the metaverse’ s perspective is proposed. Model-based systems engineering (MBSE) is adopted as the basic methodology for constructing the flight control metaverse. A common flight control infrastructure is proposed as the foundation for mission system development. A flight control metaverse architecture that targets missions throughout the flight control process is built with extensive applications of AI technology. A new flight control work mode and a mission system work mode are designed to bring about systemic innovation in the flight control work mode. the former work mode features a model-based design of flight control schemes, agile and automatic implementation of mission systems, integrated flight control mission implementation, and parallel operation in physical and virtual spaces. the latter work mode comes with intelligent control, flexible deployment, and autonomous operation capabilities. the flight control metaverse presents a new mode of working space for flight control. the new flight control work mode that builds on the flight control metaverse can be used as a technical reference for the continuous innovation and improvement of subsequent flight control practices.

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Disturbance Compensation Based Sliding Mode control for Aerial Soft Manipulator system

Disturbance Compensation Based Sliding Mode Control for Aeri...

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ieee international conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Ying Jin Tengfei Pei Hai Yu Zhaopeng Zhang Jianda Han Xiao Liang Tianjin Key Laboratory of Intelligent Robotics Institute of Robotics and Automatic Information System College of Artificial Intelligence Nankai University Tianjin China Ministry of Education Engineering Research Center of Trusted Behavior Intelligence Nankai University Tianjin China

Aerial manipulation is an emerging area of research that is experiencing rapid growth and has immense potential across various domains, including precision agriculture, construction, and search and rescue operations. the combination of quadrotor with manipulation capabilities can provide access to remote or hazardous areas, precise control over tasks, and increased efficiency and safety in operations. However, traditional aerial manipulation platforms equipped with rigid manipulators have such drawbacks greater weight and less safety. Consequently, a novel complaint aerial manipulation system is considered to be developed. In this paper, a novel structure of an aerial manipulation platform with a single-section continuum manipulator is developed. In order to address the center-of-mass displacement resulting from manipulator movements, a sliding mode controller is introduced as a means to ensure the quadrotor's flight remains smooth. Afterward, the Lyapunov theorem is employed to ensure stability of the entire closed-loop system. Subsequently, numerical simulations are carried out to showcase the superior performance of the proposed control scheme in comparison to the PD controller.

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A Secure Parameter Self-Tuning control Scheme for Vehicle Platoons Under DoS Attacks

A Secure Parameter Self-Tuning Control Scheme for Vehicle Pl...

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ieee international conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Qiaoni Han Guowen Cheng Zhenning Tang Chang Liu Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System School of Electrical and Information Engineering Tianjin University Tianjin China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Center for Biomedical Engineering School of Information Science and Technology Fudan University Shanghai China

In order to mitigate the adverse impact of denial of service (DoS) attacks, this work designs a parameter self-tuning controller based on fuzzy rules for vehicle platoons with vehicle-to-vehicle (V2V) communications. Aiming at achieving the cooperative adaptive cruise control (CACC) of the vehicles with a required inter-vehicle distance and the same velocity, while considering the possible DoS attacks, we propose a parameter self-tuning longitudinal controller combining linear control and fuzzy control to enhance the stability and resilience of the platoon systems. Firstly, by analyzing the dynamic characteristics of vehicles and the mechanism of DoS attacks, we establish the dynamic model of vehicle platoons and model the impact of random DoS attacks as a constant data transmission delay, whose probability distribution can be defined using the Bernoulli random variable. then, a linear controller based on fuzzy control is designed for longitudinal control to guarantee that the platoon keeps a reference velocity and the specified inter-vehicle distance under DoS attacks. Finally, thorough simulations are performed and the detailed results show the performance of the secure longitudinal control scheme for vehicle platoons in terms of stability and security.

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