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检索条件"任意字段=International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation"

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Autonomous Driving Vision Accuracy modeling with Neural Networks

Autonomous Driving Vision Accuracy Modeling with Neural Netw...

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international conference on Inventive Computation Technologies (ICICT)

作者： Jiyan Zhou Jinfeng Liu Guangdong Provincial Science and Technology Cadre College Zhuhai China

ISBN: (数字)9798350359299

ISBN: (纸本)9798350359305

The study presents a novel approach to modeling accuracy in autonomous driving vision systems using neural networks. By merging various vision technologies and advanced neural network architectures, the proposed methodology aims to improve perception accuracy and safety in autonomous driving scenarios. The introduction describes the central role of automobiles in today's society and the burgeoning development of autonomous driving technologies in the automotive industry. The background section reviews recent advances in self-driving technology, emphasizing the integration of computational perception and multiple sensor inputs as foundational elements. The methodology section discusses the intricacies of vision modeling for autonomous driving, including object detection, instance segmentation, lane line detection, and 3D reconstruction models. The discussion extends to the challenges of accurate perception in autonomous vehicles, highlighting the importance of deep learning techniques and convolutional neural networks (CNNs). The simulation and testing section explains the experimental setup, leveraging high-performance computing resources and curated datasets for comprehensive evaluations. Evaluation metrics such as Intersection over Union (IoU) and Million Multiply-Accumulate Operations (MACs) are used to assess model performance and computational complexity. The results highlight the effectiveness of the proposed methodology in improving model accuracy and computational efficiency for various autonomous driving tasks. Ultimately, the study underscores the importance of accurate vision modeling in advancing the safety and reliability of autonomous driving technologies, and provides a foundational framework for future research and development efforts in this area.

关键词： Solid modeling Three-dimensional displays Computational modeling Machine vision Neural networks computer architecture Safety

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Critical Infrastructure Protection II 2008

引用

丛书名： IFIP Advances in Information and Communication Technology

2008年

作者： Mauricio Papa Sujeet Shenoi

ISBN: (数字)9780387885230

ISBN: (纸本)9780387885223

The information infrastructure---comprising computers, embedded devices, networks and software systems---is vital to day-to-day operations in every sector: information and telecommunications, banking and finance, energy, chemicals and hazardous materials, agriculture, food, water, public health, emergency services, transportation, postal and shipping, government and defense. Global business and industry, governments, indeed society itself, cannot function effectively if major components of the critical information infrastructure are degraded, disabled or destroyed. Critical Infrastructure Protection II describes original research results and innovative applications in the interdisciplinary field of critical infrastructure protection. Also, it highlights the importance of weaving science, technology and policy in crafting sophisticated, yet practical, solutions that will help secure information, computer and network assets in the various critical infrastructure sectors. Areas of coverage include: - Themes and Issues - Infrastructure Security - Control systems Security - Security Strategies - Infrastructure Interdependencies - Infrastructure modeling and simulation This book is the second volume in the annual series produced by the international Federation for Information Processing (IFIP) Working Group 11.10 on Critical Infrastructure Protection, an international community of scientists, engineers, practitioners and policy makers dedicated to advancing research, development and implementation efforts focused on infrastructure protection. The book contains a selection of twenty edited papers from the Second Annual IFIP WG 11.10 international conference on Critical Infrastructure Protection held at George Mason University, Arlington, Virginia, USA in the spring of 2008. Critical Infrastructure Protection II is an important resource for researchers, faculty members and graduate students, as well as for policy makers, practitioners and other individuals with interests in

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Designing a Video-on-Demand System for a Brazilian High Speed Network

Designing a Video-on-Demand System for a Brazilian High Spee...

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international conference on Distributed Computing systems Workshop

作者： L. Souza A. Ripoll X.Y. Yang P. Hernandez F. Cores Computer Architecture & Operating System Dept. Universitat Autonoma de Barcelona Spain

Despite the availability of video-on-demand (VoD) services in a number of cities around the world, the large-scale deployment of VoD services has not been widely explored due to economic constraints. The high complexity founded in these systems makes the design process very difficult. This study presents a VoD system design for a highspeed metropolitan network, based on ATM technology, located in Brazil. To accomplish this goal, we have utilized our own simulation-based tool for VoD design called VODSim. This tool allows VoD research on any VoD platform, simulating the complete flow path followed by requests from clients to servers passing through the network infrastructure, allowing the configuration and tuning of multiple system parameters. Using VODSim, we analyse possible VoD architectures for the proposal environment (i.e. Centralized-server, Independent-servers, One-level-proxies and Distributedservers), studying key-parameters that have influence in system design. Experimental results show that Distributed-server architecture is the one that adjusts better to the analyzed infrastructure, improving streaming capacity by 16%, 25% and 28% more than One-level-proxies, Centralized and Independent-servers respectively. Taking in account future growth in VoD system, the Distributed-server even provides an unlimited scalability through new local network incorporation and using P2P techniques.

关键词： High-speed networks Network servers Computational modeling computer architecture Large-scale systems Proposals Analytical models Contracts Tin Operating systems

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Neuromorphic processing: a new frontier in scaling computer architecture 14

Neuromorphic processing: a new frontier in scaling computer ...

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Proceedings of the 19th international conference on Architectural support for programming languages and operating systems

作者： Jeff Gehlhaar Qualcomm Technologies Inc. San Diego CA USA

ISBN: (纸本)9781450323055

The desire to build a computer that operates in the same manner as our brains is as old as the computer itself. Although computer engineering has made great strides in hardware performance as a result of Dennard scaling, and even great advances in 'brain like' computation, the field still struggles to move beyond sequential, analytical computing architectures. Neuromorphic systems are being developed to transcend the barriers imposed by silicon power consumption, develop new algorithms that help machines achieve cognitive behaviors, and both exploit and enable further research in neuroscience. In this talk I will discuss a system im-plementing spiking neural networks. These systems hold the promise of an architecture that is event based, broad and shallow, and thus more power efficient than conventional computing solu-tions. This new approach to computation based on modeling the brain and its simple but highly connected units presents a host of new challenges. Hardware faces tradeoffs such as density or lower power at the cost of high interconnection overhead. Consequently, software systems must face choices about new language design. Highly distributed hardware systems require complex place and route algorithms to distribute the execution of the neural network across a large number of highly interconnected processing units. Finally, the overall design, simulation and testing process has to be entirely reimagined. We discuss these issues in the context of the Zeroth processor and how this approach compares to other neuromorphic systems that are becoming available.

关键词： spiking neural network parallel computing low power zeroth neural network neuromorphic

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A merged multiplier-accumulator for high speed signal processing applications

A merged multiplier-accumulator for high speed signal proces...

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international conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Ayman A. Fayed Magdy A. Bayoumi The Center for Advanced Computer Studies University of Louisiana Lafayette Lafayette LA USA

In an attempt to improve the speed of signal processing VLSI systems, a new architecture for high speed Multiply Accumulate Units is proposed. The architecture is based on Binary trees constructed using 4-2 compressor circuits. Increasing the speed of operation is achieved by taking advantage of the available free input lines of the 4-2 compressors, which result from the parallelogram shape of the generated partial products, and using the bits of the accumulated value to fill in these gaps. This results in merging the accumulation operation within the multiplication process. An 8-bit Multiplier Accumulator prototype circuit using the proposed architecture is prototyped in 0.35 micron double metal CMOS technology and simulated using hspice. simulation results at 3.3 V show that the proposed architecture has a delay of 4.26 ns with a 16.8 delay savings. At 150 MHz operating frequency, the power consumption is 324 mWatts with a 23.04% power saving compared to other architectures not using the merging technique.

关键词： CMOS technology Logic gates Prototypes CMOS integrated circuits Digital filters Adders Semiconductor device modeling

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Towards predicting real-time properties of a component assembly

Towards predicting real-time properties of a component assem...

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EUROMICRO conference

作者： E. Bondarev P. de With M. Chaudron Syst. Archit. & Networking Group Eindhoven Univ. of Technol. Netherlands Coding and Architectures groups Eindhovan University of Technology Eindhoven Netherlands System Architecture and Networking Eindhovan University of Technology Eindhoven Netherlands

This work addresses the prediction of timing properties of a component-based application already during the composition phase. At this stage, it is of vital importance to guarantee that the timing requirements (e.g. end-to-end deadlines) of a real-time application that is executed on a target system is satisfied. This is obtained by predicting the real-time behaviour of a component-based application. We extend an already existing scenario-based approach [J. Muskens et al. (2004)] with the possibility to model the behaviour of an application and the behavior of the underlying components. As a result, an application developer can reason accurately about the dynamic resource consumption and real-time properties of a component assembly. The modeling involves the specification of synchronization constraints for tasks and the simulation of application behaviour. A concluding case-study of video encoder development reveals that the approach is not only feasible but also addresses yet unsolved problems of task parallel execution and synchronization.

关键词： Assembly Real time systems Timing embedded system computer architecture Application software Accuracy Bonding Bandwidth Home appliances

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Hand gesture recognition using hidden Markov models

Hand gesture recognition using hidden Markov models

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IEEE international conference on systems, Man and Cybernetics

作者： Byung-Woo Min Ho-Sub Yoon Jung Soh Yun-Mo Yang Toshiaki Ejima Image Processing Division Systems Engineering Research Institute Taejon South Korea Department of Information Engineering Korea University Chochiwon South Korea Department of AI Kyushu Institute of Technology Iizuka Japan

ISBN: (纸本)0780340531

Hand gesture recognition from visual images has a number of potential applications in human-computer interaction, machine vision, virtual reality, machine control in industry, and so on. Most conventional approaches to hand gesture recognition have employed data gloves, but for a more natural interface, hand gestures must be recognized from visual images without using any external devices. Our research is intended to draw and edit graphic elements by hand gestures. As a gesture is a continuous motion on a sequential time series, the HMM (hidden Markov model) must be a prominent recognition tool. The most important thing in hand gesture recognition is what the input features are that best represent the characteristics of the moving hand gesture. We consider a planar hand gesture in front of a camera and use 8-directional chain codes as input vectors. For training an HMM network, a simple context modeling method is embedded for training on a "left-to-right" HMM model. This model is applied to drawing and editing specified graphic elements. The overall objective is to recognize 12 different dynamic gestures. In our experiments, we have had good recognition results on a pre-confined test environment: (1) the spotting time is synchronized at the static state of a hand, (2) limb parts other than the hands are motionless, and (3) the change in the hand posture during movement is meaningless. Our system is to be advanced by adopting more diverse input features representing more dynamic features of hand gestures.

关键词： Hidden Markov models Image recognition Graphics Context modeling Machine vision Virtual reality Machine control Industrial control Data gloves Character recognition

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E-Passport COVID-19 Adopting RFID Implants based on Microservices

E-Passport COVID-19 Adopting RFID Implants based on Microser...

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international conference on Cybernetics and Intelligent System (ICORIS)

作者： Ardian Rianto Marchel Thimoty Tombeng I-Shyan Hwang Andrew Tanny Liem Department of Computer Science and Engineering Yuan Ze University Taoyuan Taiwan R.O.C. Fakulty of Computer Science Universitas Klabat Airmadidi Indonesia Faculty of Computer Science Universitas Klabat Airmadidi Indonesia

ISBN: (纸本)9781665453967

COVID-19 has spread throughout the global and has restrained humans in all aspects of life including society, economy, education, etc. The first Corona virus appeared in China on 2019 and had mutated into several variants such as B.1.1.7 (Alpha), B.1.351 (Beta), E484Q (Delta), and BA.2 (Omicron). In order to block the virus to mutate and spread in the communities, we proposed a design of E-Passport by adopting RFID Implants with integrated Microservices technology. Our concepts is we design an android application (E-passport) that will be used by every institution on public places to stop the positive patients getting inside the public space to spread the virus. The checker in every public places need to scan the RFID implants on every humans hand by using NFC technology embedded on android phone with installed E-Passport to determine whether can enter or forbidden to enter. The RFID Implant stored a unique code that can be read as the reference of the person's data information stored in cloud database based on Microservices infrastructure. Our proposed design and architecture are dedicated to stop the COVID-19 virus to spread among public communities.

关键词： COVID-19 Unified modeling language Microservice architectures Implants User interfaces Real-time systems Vaccines

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Extracting Neural Drives from Surface EMG: A Generative Model and simulation Studies

Extracting Neural Drives from Surface EMG: A Generative Mode...

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29th Annual international conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2007), vol.12

作者： Ning Jiang Philip A. Parker Kevin B. Englehart Institute of Biomedical Engineering Department of Electrical and Computer Engineering University of New Brunswick Canada

A generative model for the surface EMG is presented. The model is built on the assumption that motor units in synergistic muscle share neural drives from spinal level, which correspond to the activation of different degrees of freedom (DOF) of natural movements, and are embedded within surface EMG. An artificial neural network (ANN) is developed to extract these drives simultaneously from the multi-channel surface EMG. A direct application of this technique would be providing control signals to prosthetic devices that are capable of simultaneous control of multiple DOF. It also has potential applications in the diagnosis and rehabilitation of spinal cord injuries and other neuromuscular disorders.

关键词： Electromyography Muscles Control systems Prosthetics Artificial neural networks Neuromuscular Humans Independent component analysis Motor drives Computational modeling

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Adaptive sampling for environmental field estimation using robotic sensors

Adaptive sampling for environmental field estimation using r...

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2005 IEEE/RSJ international conference on Intelligent Robots and systems

作者： M. Rahimi M. Hansen W.J. Kaiser G.S. Sukhatme D. Estrin Center for Embedded Networked Sensing UCLA Los Angeles CA USA Department of Computer Science USC Los Angeles CA USA Department of Computer Science UCLA Los Angeles CA USA

Monitoring environmental phenomena by distributed sensor sampling confronts the challenge of unpredictable variability in the spatial distribution of phenomena often coupled with demands for a high spatial sampling rate. The introduction of actuation-enabled robotics sensors permits a system to optimize the sampling distribution through runtime adaptation. However, such systems must efficiently dispense sampling points or otherwise suffer from poor temporal response. In this paper, we propose and characterize an active modeling system. In our approach, as the robotic sensor acquires measurement samples of the environment, it builds a model of the phenomenon. Our algorithm is based on an incremental optimization process where the robot supports a continuous, iterative process of 1) collecting samples with maximal coverage in the design space; 2) building the environmental model; 3) predicting sampling point locations that contribute the greatest certainty regarding the phenomenon; and 4) sampling the environment based on a combined measure of information gain and navigation and sampling cost. This can provide significant reductions in the magnitude of field estimation error with a modest navigational trajectory time. We evaluate our algorithm through a simulation, using a combination of static and mobile sensors sampling light illumination field.

关键词： Sampling methods Robot sensing systems Sensor phenomena and characterization Orbital robotics Navigation Monitoring Sensor systems Runtime Iterative algorithms Design optimization

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