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检索条件"任意字段=IEEE Conference on Computer-Aided Control System Design"

共 43305 条记录，以下是471-480 订阅

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Combining BMC and Complementary Approximate Reachability to Accelerate Bug-Finding 22

Combining BMC and Complementary Approximate Reachability to ...

引用

ieee/ACM 41st International conference on computer aided-design (ICCAD)

作者： Zhang, Xiaoyu Xiao, Shengping Li, Jianwen Pu, Geguang Strichman, Ofer East China Normal Univ Software Engn Inst Shanghai Peoples R China Shanghai Trusted Ind Control Platform Co Ltd Shanghai Peoples R China Technion IE Informat Syst Engn Haifa Israel

ISBN: (纸本)9781450392174

Bounded Model Checking (BMC) is so far considered as the best engine for bug-finding in hardware model checking. Given a bound K, BMC can detect if there is a counterexample to a given temporal property within K steps from the initial state, thus performing a global-style search. Recently, a SAT-based model-checking technique called Complementary Approximate Reachability (CAR) was shown to be complementary to BMC, in the sense that frequently they can solve instances that the other technique cannot, within the same time limit. CAR detects a counterexample gradually with the guidance of an over-approximating state sequence, and performs a local-style search. In this paper, we consider three different ways to combine BMC and CAR. Our experiments show that they all outperform BMC and CAR on their own, and solve instances that cannot be solved by these two techniques. Our findings are based on a comprehensive experimental evaluation using the benchmarks of two hardware model checking competitions.

关键词： Model checking

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design of intelligent management system for stereo garage based on deep learning 6

Design of intelligent management system for stereo garage ba...

引用

2023 ieee 6th International conference on Information systems and computer aided Education, ICISCAE 2023

作者： Wenyan, Xu Huiling, Lai Yuxiang, Du Guangzhou Nanyang Polytechnic College Guangzhou China

ISBN: (纸本)9798350313444

designing an intelligent management system for three-dimensional parking equipment is of great practical significance to the development of intelligent transportation system (ITS). With the rapid development of artificial intelligence, machine vision based on deep learning has been widely used in the fields of vehicle identification, license plate identification, and automatic driving. In this paper, based on the actual needs of the current garage management system, the design of intelligent garage management system is carried out based on deep learning from vehicle identification, license plate setting and automatic timing and billing. Through MATLAB platform, the GUI interface is designed, and the test of each function is carried out in combination with a small stereo garage testing machine. The test results show that the intelligent garage management system based on deep learning can meet the design requirements. It can provide reference for the intelligent management of surface and above-ground parking lots and stereo garages. © 2023 ieee.

关键词： deep learning intelligent management system ITS MATLAB stereo garage

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Technology Mapping of Genetic Circuits: From Optimal to Fast Solutions 22

Technology Mapping of Genetic Circuits: From Optimal to Fast...

引用

ieee/ACM 41st International conference on computer aided-design (ICCAD)

作者： Schwarz, Tobias Hochberger, Christian Tech Univ Darmstadt Dept Elect Engn & Informat Technol Comp Syst Grp Darmstadt Germany

ISBN: (纸本)9781450392174

Synthetic Biology aims to create biological systems from scratch that do not exist in nature. An important method in this context is the engineering of DNA sequences such that cells realize Boolean functions that serve as control mechanisms in biological systems, e.g. in medical or agricultural applications. Libraries of logic gates exist as predefined gene sequences, based on the genetic mechanism of transcriptional regulation. Each individual gate is composed of different biological parts to allow for the differentiation of their output signals. Even gates of the same logic type therefore exhibit different transfer characteristics, i.e. relation from input to output signals. Thus, simulation of the whole network of genetic gates is needed to determine the performance of a genetic circuit. This makes mapping Boolean functions to these libraries much more complicated compared to EDA. Yet, optimal results are desired in the design phase due to high lab implementation costs. In this work, we identify fundamental features of the transfer characteristic of gates based on transcriptional regulation which is widely used in genetic gate technologies. Based on this, we present novel exact (Branch-and-Bound) and heuristic (Branch-and-Bound, Simulated Annealing) algorithms for the problem of technology mapping of genetic circuits and evaluate them using a prominent gate library. In contrast to state-of-the-art tools, all obtained solutions feature a (near) optimal output performance. Our exact method only explores 6.5 % and the heuristics even 0.2 % of the design space.

关键词： Synthetic Biology Genetic Circuits Genetic design Automation Technology Mapping Simulated Annealing Branch-and-Bound

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Physics-aware Differentiable Discrete Codesign for Diffractive Optical Neural Networks 22

Physics-aware Differentiable Discrete Codesign for Diffracti...

引用

ieee/ACM 41st International conference on computer aided-design (ICCAD)

作者： Li, Yingjie Chen, Ruiyang Gao, Weilu Yu, Cunxi Univ Utah ECE Dept Salt Lake City UT 84112 USA

ISBN: (纸本)9781450392174

Diffractive optical neural networks (DONNs) have attracted lots of attention as they bring significant advantages in terms of power efficiency, parallelism, and computational speed compared with conventional deep neural networks (DNNs), which have intrinsic limitations when implemented on digital platforms. However, inversely mapping algorithm-trained physical model parameters onto real-world optical devices with discrete values is a non-trivial task as existing optical devices have non-unified discrete levels and non-monotonic properties. This work proposes a novel device-to-system hardware-software codesign framework, which enables efficient physics-aware training of DONNs w.r.t arbitrary experimental measured optical devices across layers. Specifically, Gumbel-Softmax is employed to enable differentiable discrete mapping from real-world device parameters into the forward function of DONNs, where the physical parameters in DONNs can be trained by simply minimizing the loss function of the ML task. The results have demonstrated that our proposed framework offers significant advantages over conventional quantization-based methods, especially with low-precision optical devices. Finally, the proposed algorithm is fully verified with physical experimental optical systems in low-precision settings.

关键词： Optical neural network diffractive optical neural networks hardware-software co-design Gumbel-Softmax

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Accurate, Yet Scalable: A SPICE-based design and Optimization Framework for eNVM-based Analog In-memory Computing 24

Accurate, Yet Scalable: A SPICE-based Design and Optimizatio...

引用

43rd International conference on computer-aided design, ICCAD 2024

作者： Mojahidul Ahsan, S.M. Shahriar, Muhammad Sakib Chowdhury, Mrittika Hossain, Tanvir Hasan, Md Sakib Hoque, Tamzidul Department of Electrical Engineering and Computer Science University of Kansas LawrenceKS United States Department of Electrical and Computer Engineering University of Mississippi OxfordMS United States

ISBN: (纸本)9798400710773

This paper introduces a scalable SPICE-based tool infrastructure designed to optimize analog compute-in-memory (ACIM) architectures utilizing emerging non-volatile resistive memory (eNVM) technologies. The inherent efficiency of analog eNVM crossbar arrays in performing matrix-vector multiplications significantly enhances the power, performance, and area efficiency of edge AI devices and other applications. Our framework addresses the challenges of accurately simulating ACIM architectures, which are highly susceptible to variations in process, voltage, temperature, and analog noise. The framework uses SPICE for accurate analog and mixed-signal circuit simulation. It automates the generation of SPICE-level ACIM designs for deep neural networks. Additionally, it speeds up the simulation runtime by up to 35× for large DNN models while maintaining the same SPICE-level accuracy. Moreover, it ensures simulation convergence for large netlists, facilitating SPICE simulation of large-scale eNVM crossbars that were previously impractical. We demonstrated that our framework is capable of simulating inference using netlists for MLPs with over 800,000 parameters trained on the MNIST dataset within acceptable runtime, where contemporary SPICE simulators do not even converge. We validated the simulation results in terms of inference accuracy, which shows less than a 3.8% accuracy drop compared to software-based inference results. Lastly, we demonstrated the integration of our framework with an architectural simulator, facilitating comprehensive system-level simulation. © 2024 Copyright is held by the owner/author(s).

关键词： Deep neural networks

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Current control design Based on Dynamic Model of Vienna Rectifier for Harmonic Mitigation 21

Current Control Design Based on Dynamic Model of Vienna Rect...

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21st International conference on Electrical Engineering/Electronics, computer, Telecommunications and Information Technology (ECTI-CON)

作者： Surachaisatikul, Sorawit Santiprapan, Phonsit Jantarachote, Vasan Prince Songkla Univ PSU Fac Engn Dept Elect Engn Songkhla Thailand

ISBN: (纸本)9798350381566;9798350381559

The Vienna Rectifier is an AC-DC converter system with features that allow for a high output voltage and minimal ripple compared to a conventional rectifier that does not draw current from the grid. The main differences between conventional and Vienna rectifiers are harmonics, power factor, and efficiency. The Vienna rectifier reduces grid-side harmonics and improves the power factor. In this research, the current in the Q-axis is controlled to zero so that the power factor of the system is as close to one as possible, and a PI controller is used to create a stable output signal for the system. The result is that the system can produce an output voltage level of 800V and a THD of less than 5%, according to ieee 519-2022 standards. The efficiency of the input signal has been improved, which can reduce the THD of the input as well. The research also tested software designed with C2000 microcontrollers to prove that the designed model can operate in real-life situations.

关键词： Vienna Rectifier Three-phase Model-based design Power Factor (PF) PI controller Total harmonic distortion (THD) Pulse width modulation (PWM) method

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Real Time Monitoring of Hydroponic system using IoT

Real Time Monitoring of Hydroponic System using IoT

引用

2024 ieee International conference on Intelligent systems and Advanced Applications, ICISAA 2024

作者： Waghmare, Vrushali Rakte, Prerna Gadalkar, Meghana Bhaleghare, Sakshi Sakhare, Dipti Goudar, Mahesh MIT Academy of Engineering Dept. of Electronics Pune India MIT Academy of Engineering Dept. of E&TC Pune India

ISBN: (纸本)9798331539948

Hydroponic farming provides a promising solution to traditional agriculture's challenges, emphasizing efficient resource utilization and long-term crop production. This paper looks into the integration of Internet of Things (IoT) technology into hydroponic systems to improve monitoring, control, and management capabilities. A comprehensive literature survey is used to evaluate various hydroponic systems and their communication technologies, providing valuable insights into system design and implementation. The methodology outlines steps for efficiently managing hydroponic systems, including crop selection, parameter monitoring, data collection, and mobile application development. Visual representations aid in understanding the complex interactions between system components. The results demonstrate the implementation of a horizontal-based hydroponic farming setup with real-time IoT-enabled monitoring and control, aided by a mobile application for remote access and alerts. The integration of IoT technology elevates hydroponic farming as a sustainable option, increasing productivity, precision, and responsibility for the environment. © 2024 ieee.

关键词： Hydroponics

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Research on Intelligent Bus Scheduling Based on GPS Signals 7

Research on Intelligent Bus Scheduling Based on GPS Signals

引用

7th ieee International conference on Information systems and computer aided Education, ICISCAE 2024

作者： Yue, Qiu Liangliang, Sun School of Electrical and Control Engineering Shenyang Jianzhu University Shenyang China School of Engineering Northeastern University at Oinhuangdao Qinhuangdao China

ISBN: (纸本)9798350350760

With the acceleration of urbanization, bus scheduling plays an increasingly prominent role in alleviating urban traffic pressure. This paper addresses the limitations of traditional static bus scheduling methods when faced with unexpected situations by proposing an intelligent bus scheduling model based on GPS signals. By introducing a rolling time horizon framework and the Lagrangian relaxation algorithm, this study aims to achieve real-time optimization of bus schedules, especially for rescheduling during peak passenger flow surges or unexpected incidents. By constructing a dynamic scheduling model that integrates passenger demand, vehicle location, and speed information, we optimized both passenger waiting times and bus operational costs. Experimental results show that the optimized scheduling scheme effectively reduces passenger waiting time, enhances the operational efficiency of the bus system, and provides an adaptive and flexible solution for bus scheduling systems. ©2024 ieee.

关键词： Lagrange multipliers

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QUEST: Quality-informed Multi-agent Dispatching system for Optimal Mobile Crowdsensing

QUEST: Quality-informed Multi-agent Dispatching System for O...

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ieee conference on computer Communications (ieee INFOCOM)

作者： Li, Zuxin Man, Fanhang Chen, Xuecheng Xu, Susu Dang, Fan Zhang, Xiao-Ping Chen, Xinlei Tsinghua Univ Tsinghua Shenzhen Int Grad Sch Beijing Peoples R China Tsinghua Univ Global Innovat Exchange Beijing Peoples R China Johns Hopkins Univ Dept Civil & Syst Engn Baltimore MD USA Pengcheng Lablatory Shenzhen Peoples R China RISC V Int Open Source Lab Shenzhen Peoples R China

ISBN: (纸本)9798350383515;9798350383508

We address the challenges in achieving optimal Quality of Information (QoI) for non-dedicated vehicular Mobile Crowdsensing (MCS) systems, by utilizing vehicles not originally designed for sensing purposes to provide real-time data while moving around the city. These challenges include the coupled sensing coverage and sensing reliability, as well as the uncertainty and time-varying vehicle status. To tackle these issues, we propose QUEST, a QUality-informed multi-agEnt diSpaTching system, that ensures high sensing coverage and sensing reliability in non-dedicated vehicular MCS. QUEST optimizes QoI by introducing a novel metric called ASQ (aggregated sensing quality), which considers both sensing coverage and sensing reliability jointly. Additionally, we design a mutual-aided truth discovery dispatching method to estimate sensing reliability and improve ASQ under uncertain vehicle statuses. Real-world data from our deployed MCS system in a metropolis is used for evaluation, demonstrating that QUEST achieves up to 26% higher ASQ improvement, leading to a reduction of reconstruction map errors by 32-65% for different reconstruction algorithms.

关键词： Internet of Things Mobile sensing and applications Mobile Crowdsensing Data Quality

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Research on Application system of computer aided design in Innovative design of Intangible Cultural Heritage Clothing 2

Research on Application System of Computer Aided Design in I...

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2nd ieee International conference on Image Processing and computer Applications, ICIPCA 2024

作者： Gu, Xiaoxue College of Art Liaoning Communication University Shenyang China

ISBN: (数字)9798350360240

ISBN: (纸本)9798350360240

In this paper, a semantic-based intangible cultural heritage database is constructed based on the integration of structured retrieval and the characteristics of C language, and then it is debugged and compiled, and the data is stored in the warehouse. The loopholes in the model are repaired, and finally the Han-style clothing library is constructed based on multi-view deep learning. The method of Han Fu shape measurement based on convolutional neural network is studied. A two-level convolutional neural network model is constructed. This paper improves the accuracy of the model with 2 deep transfers and repeated training. The pixel spacing of each coordinate is calculated based on image segmentation, and scaled with the plane distribution map of cultural relics provided in archaeological data and one actual measured size to obtain the scale information of the complete garment. Experiments show that the two-transfer learning convolutional networks have better convergence and learning performance. This method is used to measure the size of Han-style clothing Hanyu, and the measurement accuracy is 0.62%-5.22%. The implementation of this project will open up a new way for the restoration of ancient Chinese clothing and the measurement of cultural relics. © 2024 ieee.

关键词： Convolutional neural networks

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