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24th Pan-Hellenic Conference on Informatics, PCI 2020

作者： Spournias, Alexandros Faliagka, Evanthia P. Antonopoulos, Christos S. Voros, Nikolaos Embedded System Design and Applications Laboratory Electrical and Computer Engineering Department University of Peloponnese Greece

ISBN: (纸本)9781450388979

This work proposes a new and innovative approach to the knowledge diffusion, through experiments as well as experiential training, focusing on cutting-edge technologies. These technologies refer to robotic technologies, virtual reality, cyberphysical systems and the Internet of Things, always under the prism of open source and open access approaches. For the diffusion of these technologies, ESDA Lab provides an environment with the infrastructure that supports these technologies creating a living experimental laboratory ecosystem. © 2020 ACM.

关键词： Internet of things

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HyPER: A runtime reconfigurable architecture for monte carlo option pricing in the Heston model 24

HyPER: A runtime reconfigurable architecture for monte carlo...

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24th International Conference on Field Programmable Logic and Applications, FPL 2014

作者： Brugger, Christian De Schryver, Christian Wehn, Norbert Microelectronic System Design Research Group Department of Electrical and Computer Engineering University of Kaiserslautern Germany

ISBN: (纸本)9783000446450

High-speed and energy-efficient computations are mandatory in the financial and insurance industry to survive in competition and meet the federal reporting requirements. On a hybrid CPU/FPGA system we propose a modular pricing engine and derive a novel algorithmic extension able to exploit online dynamic reconfiguration. The result is a high-performance and energy-efficient pricing system suitable for exotic option pricing in the state-of-the-art Heston market model. With the online reconfiguration extension our hybrid pricing system is nearly two orders of magnitude faster than high-end Intel CPUs, while consuming the same power. © 2014 Technical University of Munich (TUM).

关键词： Reconfigurable architectures

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A systematic Review of Multi-Sensor Information Fusion for Equipment Fault Diagnosis

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IEEE Transactions on Instrumentation and Measurement 2025年

作者： Lin, Tantao Ren, Zhijun Zhu, Linbo Zhu, Yongsheng Feng, Ke Ding, Weiping Yan, Ke Beer, Michael Xi'an Jiaotong University Key Laboratory of Education Ministry for Modern Design & Rotor-Bearing System Xi'an710049 China Xi'an Jiaotong University Frontier Institute of Science and Technology Xi'an710049 China Xi'an Jiaotong University School of School of Chemical Engineering and Technology Xi'an710049 China Xi'an Jiaotong University School of Mechanical Engineering Xi'an710049 China Nantong University School of Artificial Intelligence and Computer Science Nantong226019 China City University of Macau Faculty of Data Science Macau999078 China Leibniz University Institute for Risk and Reliability Hannover30167 Germany University of Liverpool Department of Civil and Environmental Engineering LiverpoolL69 3BX United Kingdom Tongji University International Joint Research Center for Resilient Infrastructure International Joint Research Center for Engineering Reliability and Stochastic Mechanics Shanghai200092 China

In contrast to fault diagnosis relying solely on a single sensor, the method of multi-sensor information fusion for fault diagnosis (MSIFFD) broadens the spectrum of available information sources. It is renowned for its high accuracy and reliability, traits that have attracted growing attention within the research community and led to the generation of a substantial body of publications. However, there is currently a lack of a comprehensive and systematic review in this domain. Thereby, this review aims to thoroughly explore all research achievements in the field of MSIFFD. At the outset, an analysis is undertaken to delineate the fusion level of multi-sensor information, with a specific focus on its location and types of inputs and outputs within the information flow. Subsequently, an examination of the six primary fundamental operations for amalgamating multi-sensor information is undertaken to clarify the motivations and processes involved in information fusion across various operations. Following this, factors influencing fusion diagnostics and strategies aimed at improving their performance are examined to explore approaches for enhancing fusion accuracy. The subsequent sections delve into the analysis of sensor types and application scenarios, providing a reference guide for practical applications. Finally, this review outlines potential future challenges in the field of MSIFFD and provides a range of recommendations and possible solutions for consideration. © 1963-2012 IEEE.

关键词： Information fusion

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computer-aided Optimization of a 5.8 GHz ETC Receiver Front-end design using Memetic Algorithm

Computer-aided Optimization of a 5.8 GHz ETC Receiver Front-...

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International Conference on Mechatronics and Applied Mechanics (ICMAM 2011)

作者： Lai, Jiang Hang, Yu Yan, Li Yan, Yin Zhan, Li College of Computer Science and Software Engineering Shenzhen University Shenzhen City Key Laboratory of Embedded System Design Shenzhen

ISBN: (纸本)9783037853801

systematic level design and optimization of a Radio Frequency (RF) receiver is a multidimensional problem and it is usually an arduous and experience-based work because of the trade-off between various system parameters. In the mean while, co-operated with Genetic Algorithm (GA) and local search, Memetic Algorithm (MA) gradually becomes popular to solve multidimensional optimization problems, and it can be an efficient method for computer-aided design of RF receivers. In this paper, the MA method was adopted to aid the design of a 5.8 GHz RF receiver front-end. The transfer function for the signal-to-noise ratio at the front-end output (SNRout) was first derived based on the gain, noise figure and inter-modulation product of each individual circuit component, and the transfer function was then used as the required fitness function for the MA method. The efficacy of the proposed method was validated by ADS simulations.

关键词： computer-aided design RE front-end fitness function MA ADS simulation

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Impedance control for force - Reflecting teleoperation with communication delays based on IOS small gain theorem

Impedance control for force - Reflecting teleoperation with ...

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ICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009

作者： Do, Nam Duc Namerikawa, Toru Division of Electrical Engineering and Computer Science Kanazawa University Japan Department of System Design Engineering Keio University Japan

ISBN: (纸本)9784907764333

This paper focuses on a new proposal system input of impedance control that relates to force reflection (FR) scheme of teleoperation with time varying in communication lines. To improve the tracking performance and transparency, the control algorithm uses one more communication channel to transfer the FR information from the master side to the slave side. Using variable damping values, the contact stability is achieved at the time while the slave robot contacts with the environment. In this work, the input-to-output stability (IOS) small gain approach is used to show the overall force-reflecting teleoperation to be input-to-state stable (ISS). Several experimental results show the effectiveness of our proposed algorithm. © 2009 SICE.

关键词： Slave robots

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Texture classification using improved 2D local discriminant basis

Texture classification using improved 2D local discriminant ...

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IEEE Workshop on Statistical Signal Processing, SSP 2003

作者： Sabri, M. Alirezaie, J. Department of Electrical and Computer Engineering Ryerson University TorontoON Canada Department of System Design Engineering University of Waterloo Canada

ISBN: (纸本)0780379977

Local discriminant basis (LDB) is a supervised feature extraction method. Since LDB uses a redundant dictionary of wavelet packet basis, it is an excellent feature extractor for underlying features on time-frequency plane. Extraction of relevant features is a very important issue in signal and image classification. This reduces the computation complexity , while increasing the classification accuracy in the absence of adequate training samples. LDB algorithm utilizes best basis algorithm to find most discrimination basis among orthonormal redundant basis provided by wavelet packet transform. The classification performance of LDB algorithm is further improved using optimally weighted features. The genetic algorithm is utilized to find the optimal weight coefficients. The optimization step decreases within-class variance of training textures and increases between-class distances of teacher textures. The proposed algorithm is then tested on problem of composite texture segmentation. The results are compared with the weight coefficients obtained from Euclidean distance, J-divergence and Hellinger distance. Misclassification error is reduced by 26%-31%. © 2003 IEEE.

关键词： Wavelet transforms

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Object Detection using Statistical and textual Model 21

Object Detection using Statistical and textual Model

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7th International Conference on engineering and MIS, ICEMIS 2021

作者： Altabouni, Fathia Farj Huwedi, Ashraf Saad Bozed, Kenz Amhmed Department of Software Engineering Benghazi University Libya Department of Computer System Design Benghazi University Libya

ISBN: (纸本)9781450390446

Optical system for humans has the ability to get to know a very large number of objects or classes of object from two-dimensional visual information or three dimensions. Solving this task of detection or recognition by humans without any major effort is due to the ability of humans for very fast parallel processing and their ability for self development, as well as the ability to learn from experience due to the exceptional structure of the human brain. computer vision systems exist that are able to detecting an object in image, but usually these systems need to be instructed what the object to detect is. And the main difficulty comes from a very large number of objects, each of these objects may appear in an infinite number of several aspects: dimension, shape, color, position, lighting, and shade. In this paper, we present a robust method attempts to deal with the above challenges by using Local Binary Pattern (LBP) and Random Forest techniques (RF). Results show that using the suggested method 95.39% classification rate in the car detection, as well as 94.9%, for cat detection, and flower detection. © 2021 ACM.

关键词： Optical systems

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Microprogramming heritage of RISC design 23

Microprogramming heritage of RISC design

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23rd Annual Workshop and Symposium on Microprogramming and Microarchitecture, MICRO 1990

作者： Shih, Liwen Computer System Design and Engineering University of Houston-Clear Lake HoustonTX77058 United States

ISBN: (纸本)0897914139

Technology impact brings Reduced Instruction Set computer (RISC) design approach back to the stage of computer architecture evolution. While RISC architecture grab attention by their flying instruction rates, this paper summarizes the current design of micro-architectures and analyzes the tradeoffs between RISC approach and Microprogramming approach especially on the vertical migration among hardware, firmware, compilation and software. RISCs' simplicity is contrasted by the regularity of microprogrammed control. The RISC design incentives are categorized into three perspectives, namely, technology-driven, application-driven, and performance-driven. Traditional firmware migration approaches are reviewed and related to RISC design philosophy as well as Writable Instruction Set computer (WISC) concept. Research such as Firmware Migration candidates selection can be applied to RISC instruction set design. Similarly, micro-code generation and compaction research can be used to construct the smart, optimizing RISC compiler. Horizontal microcode approach is interpreted as the Very Long Instruction Word (VLIW) architecture. Incorporating in the discussion about new design trends affected by GaAs, memory technology, and super-computing a clue for the direction of future-proof micro-architecture and microprogramming is projected. © 1990 IEEE computer Society. All rights reserved.

关键词： Microprogramming

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Evaluation of mouse and touch input for a tabletop display using Fitts' reciprocal tapping task

Evaluation of mouse and touch input for a tabletop display u...

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53rd Human Factors and Ergonomics Society Annual Meeting 2009, HFES 2009

作者： Sasangohar, Farzan MacKenzie, I. Scott Scott, Stacey D. Dept. of System Design Engineering University of Waterloo Canada Dept. of Computer Science and Engineering York University Canada

ISBN: (纸本)9781615676231

User performance with a tabletop display was tested using touch-based and mouse-based interaction in a traditional pointing task. Dependent variables were throughput, error rate, and movement time. In a study with 12 participants, touch had a higher throughput with average of 5.53 bps compared to 3.83 bps for the mouse. Touch also had a lower movement time on average, with block means ranging from 403 ms to 1051 ms vs. 607 ms to 1323 ms with the mouse. Error rates were lower for the mouse at 2.1%, compared to 9.8% for touch. The high error rates using touch were attributed to problems in selecting small targets with the finger. It is argued that, overall, touch input is a preferred and efficient input technique for tabletop displays, but that more research is needed to improve touch selection of small targets.

关键词： Errors

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Preliminary Cognitive Modeling: Comparing Distraction-Based Cyber-Attacks and Alcohol-Related Impairments on Human Drivers 4

Preliminary Cognitive Modeling: Comparing Distraction-Based ...

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4th IEEE International Conference on Human-Machine systems, ICHMS 2024

作者： He, Fan Elhammady, Karim Fischmeister, Sebastian Burns, Catherine M. University Of Waterloo Department Of System Design Engineering WaterlooON Canada University Of Waterloo Department Of Electrical And Computer Engineering WaterlooON Canada

ISBN: (纸本)9798350315790

This research investigates the vulnerability and resilience of human cognitive processes in the context of rapidly advancing driving technologies susceptible to multi-modal cyber-attacks. By simulating scenarios where Advanced Driver Assistance systems (ADAS) are attacked to distract drivers, we aim to understand the decision-making process and cognitive limits affecting safe driving and to devise a systematic approach to assess cognitive impairments. Our simulations of three generic attack models revealed that attacks requiring complex cognitive processing pose greater risks than mere distractions. To assess human driver vulnerabilities in this rapidly evolving technological landscape, we utilized Blood Alcohol Concentration (BAC) levels as a benchmark. © 2024 IEEE.

关键词： Autonomous vehicles

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