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检索条件"任意字段=IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems"

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Controllability-Based Circuit Similarity Estimation

Controllability-Based Circuit Similarity Estimation

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ieee design and diagnostics of electronic circuits and systems (DDECS)

作者： Michal Žáček Petr Fišer Department of Digital Design Faculty of Information Technology Czech Technical University in Prague Prague Czech Republic

ISBN: (数字)9798331528010

ISBN: (纸本)9798331528027

Assessing the structural similarity of different implementations of logic functions is of importance in many areas of digital design, such as iterative resynthesis, engineering change order (ECO) based design, design of reliable redundant systems (duplex, TMR), etc. In general, numerous metrics exist that describe such similarity, mostly based on its intended application. In this paper, we introduce a novel metric based on a calculation of the functional equivalence of subcircuits. As this approach requires repeated calls of time-consuming functional equivalence checking, we propose a linear-time approximation of this method based on signal controllability calculation. These two approaches are compared to the state-of-the-art fault detection-based design diversity estimation technique and applied to assess the fault-security capabilities of duplex systems.

关键词： Measurement Fault detection Estimation Reliability engineering Logic functions Electrical fault detection Controllability Iterative methods Integrated circuit reliability electronic circuits

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Proceedings - 36th SBC/SBMicro/ieee/ACM symposium on Integrated circuits and systems design, SBCCI 2023

Proceedings - 36th SBC/SBMicro/IEEE/ACM Symposium on Integra...

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36th SBC/SBMicro/ieee/ACM symposium on Integrated circuits and systems design, SBCCI 2023

ISBN: (纸本)9798350318340

The proceedings contain 38 papers. The topics discussed include: FPGA placement: dynamic decision making via machine learning;study of an avalanche compensation mirror for SiGe high performance power amplifiers dedicated to 5G applications;low-energy and reduced-area hardware architecture for the versatile video coding FME;secure network interface for protecting IO communication in many-cores;validating an automated asynchronous synthesis environment with a challenging design: RISC-V;power and performance costs of radiation-hardened ml inference models running on edge devices;an energy-efficient interpolation unit targeting VVC encoders with approximate adder;a wireless weatherproof acoustic sensor system to detect anomalies in substation power transformers;and jitter noise impact on analog spiking neural networks: STDP limitations.

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Artificial intelligence (AI)-based optimization of power electronic converters for improved power system stability and performance 14

Artificial intelligence (AI)-based optimization of power ele...

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14th ieee International symposium on diagnostics for Electrical Machines, Power electronics and Drives, SDEMPED 2023

作者： Gros, Ioana-Cornelia Lu, Xiaoshu Oprea, Claudiu Lu, Tao Pintilie, Lucian Technical University of Cluj-Napoca Faculty of Electrical Engineering Department of Electrical Machines and Drives Cluj-Napoca Romania University of Vassa Department of Electrical Engineering and Energy Technology Vaasa Finland

ISBN: (纸本)9798350320770

The present review paper provides an overview of the recent advances in AI-based techniques for the design and optimization of power electronic converters. There is an increased demand on power converters in applications like renewable energy generation, microgrids, electric and hybrid vehicles, high-voltage DC power transmission etc. with focus on their design and optimization. In this context, various AI techniques are discussed, such as: machine learning, deep learning, reinforcement learning, and evolutionary algorithms, artificial neural networks, fuzzy logic control, expert systems and their applications in power electronics and electric drives. Some case studies from the literature are referred and potential benefits of AI-assisted design and optimization of power electronic converters with aspects of enhanced power system stability and performance are highlighted. © 2023 ieee.

关键词： Electric power transmission

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design and Implementation Strategy of Adaptive Processor-Based systems for Error Resilient and Power-Efficient Operation 24

Design and Implementation Strategy of Adaptive Processor-Bas...

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24th International symposium on design and diagnostics of electronic circuits and systems (DDECS)

作者： Veleski, Mitko Huebner, Michael Krstic, Milos Kraemer, Rolf BTU Cottbus Senftenberg Chair Comp Engn Cottbus Germany IHP Leibniz Inst Innovat Mikroelekt Frankfurt Oder Germany Univ Potsdam Potsdam Germany

ISBN: (纸本)9781665435956

The contemporary computing systems are facing two major challenges: excessive power consumption and susceptibility to faults. In order to take advantage of techniques that efficiently address these challenges, the classic ASIC design flow requires some modifications. In this paper, we present a simple and convenient strategy for design and implementation of processor-based systems using highly configurable, cross-layer framework that encompasses techniques such as Adaptive Voltage and Frequency Scaling (AVFS) and Triple Modular Redundancy (TMR). The proposed strategy augments the conventional design flow with two additional steps to integrate the framework's hardware building blocks into the system. Such system is then able to dynamically switch between low power and error resilient operation modes according to the current requirements. By following the proposed strategy, we were able to implement processor-based system that significantly reduces the power consumption / increases the soft error resilience while preserving the performance at negligible area overhead of less than 1%.

关键词： Electric power utilization

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Machine Learning Framework Using Complex Network Features to Predict Wire-length

Machine Learning Framework Using Complex Network Features to...

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ieee International symposium on circuits and systems (ISCAS)

作者： Nie, Tingyuan Zhu, Zuyuan Kong, Qi Zhou, Lijian Wang, Zhenhao Qingdao Univ Technol Sch Informat & Control Engn Qingdao Peoples R China

ISBN: (纸本)9781665484855

Recently, the research of performance prediction with prior knowledge obtained by machine learning (ML) techniques has been widely studied. In this paper, we present the first work of machine learning framework using complex network features to predict wire-length in physical design. The experimental result on TAU 2017 Benchmark shows the effectiveness and efficiency of our method. The predictors based on four machine learning models provide a high accuracy and reasonable speed compared with normal EDA (electronic design Automation) tool

关键词： machine learning complex network wirelength physical design

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Analysis of the Security Vulnerabilities of 2.5-D and 3-D Integrated circuits 23

Analysis of the Security Vulnerabilities of 2.5-D and 3-D In...

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23rd International symposium on Quality electronic design (ISQED)

作者： Rao, Vaibhav Venugopal Sasan, Avesta Savidis, Ioannis Drexel Univ Philadelphia PA 19104 USA Univ Calif Davis Davis CA 95616 USA

ISBN: (纸本)9781665494663

The need for greater functionality on a single integrated circuit (IC) has directly resulted in novel techniques, methodologies, and processes that increase device density. In addition to device density, the advent of 2.5-D and 3-D integration has allowed for the development of complex heterogeneous systems, where intellectual property (IP) across multiple vendors and from different process nodes and foundries are placed in close proximity. Although 2.5-D and 3-D integration opens the door to enhanced circuit functionality, the physical security of such systems, which was already a challenge with 2-D integrated circuits, is of greater concern. The potential for sourcing and integrating adversarial IP including hardware Trojans, placing untrusted ICs, leaking critical circuit functionality or user data through side-channels, or even allowing for attack through the exploitation of side-channels must be considered. In this paper, a thorough analysis of the security vulnerabilities of 2.5- D and 3-D integrated circuits to Trojan insertion and side-channel attack is provided, with the goal of highlighting the importance of considering the security implications of such systems during design.

关键词： Integrated circuits Solid modeling Side-channel attacks Intellectual property Hardware Trojan horses Security

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Low IF CMOS Receiver with 3-Stage LNA for Sub-GHz Communication 10

Low IF CMOS Receiver with 3-Stage LNA for Sub-GHz Communicat...

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10th ieee International symposium on Smart electronic systems, iSES 2024

作者： Jha, Shivam Kumar Khatoon, Apsana Tiwari, Priyanka Dipti Kandpal, Kavindra Goswami, Manish Misra, Prasanna Kumar IIIT Allahabad Dept. of ECE Prayagraj India

ISBN: (纸本)9798331533229

In this paper, the low-IF architecture for CMOS receiver is explored for narrow-band, long-range applications for the frequency band of 865-867 MHz. The challenges in the receiver design and integration issues of low noise amplifier, mixer, filter, variable gain amplifier, sample and hold circuit, 4 - bit analog to digital converter are discussed. The performance of receiver is optimized using UMC 180 nm CMOS technology and the tradeoff in the performance parameters is compiled in a single parameter i.e, Figure of Merit (FOM). The bandwidth that is used in this design is 1 MHz which is obtained after down conversion and in the filter output. The design is optimized to attain a power gain and noise figure of 33 dB and 2.5 dB at mixer stage. The dynamic range of 4-bit flash ADC is found to be 13 dB The receiver consumes 80 mW of power with a 1 dB compression point of -39 dBm input power. The results suggest that the proposed design can be used for all narrow-band and long-range sub-GHz communication. © 2024 ieee.

关键词： CMOS integrated circuits

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design of Low Noise, High Sensitive Front End electronics for the Charge Readout from Silicon Photomultiplier Detector foR Future Space Exploration Programs 9

Design of Low Noise, High Sensitive Front End Electronics fo...

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9th ieee International symposium on Smart electronic systems, iSES 2023

作者： Goyal, Shiv Kumar Naik, Amisha P. Institute of Technology Nirma University Planetary Sciences Division Physical Research Laboratory Ahmedabad India Institute of Technology Nirma University Ahmedabad Department of Electronics & Communication Engineering India

ISBN: (纸本)9798350383249

The detection of low energy X-rays in the space exploration programs is a key to determine various scientific information for e.g. mapping of elemental composition of the planetary bodies. Scintillation detector along with the Silicon Photomultiplier (SiPM) is used for the development of the circuits for the detection of low energy X-rays. The design of the circuits is carried out keeping in mind the range of output charge of the SiPM. The circuits have been designed, simulated and realized in the lab which detects © 2023 ieee.

关键词： Signal to noise ratio

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A Practical and design oriented approach to teaching circuits

A Practical and Design oriented approach to teaching circuit...

引用

ieee International symposium on circuits and systems (ISCAS)

作者： Silva-Martinez, Jose Onabajo, Marvin Mayhugh, Ayesha Texas A&M Univ College Stn TX 77843 USA Northeastern Univ Boston MA 02115 USA Texas Instruments Inc Dallas TX USA

ISBN: (纸本)9781665484855

Teaching analog circuits courses in the current digital era is a significant challenge for instructors. The mathematics needed for the first course on electronics is basic and the analyses are not complicated either. However, it typically requires conceptual understanding and intuition that has to be conveyed in order to avoid frustration during the assembly and testing of amplifiers in the lab, especially when students design them from scratch. A number of excellent textbooks are available that cover the theory, but it is difficult to find compelling literature that extends this knowledge to practical applications. In this paper, basic amplifier theory is revisited and with attention to considerations related to non-idealities and variations. The concept of sensitivity and its use is emphasized as well as, using the benefits of source/emitter degeneration as an example. It is shown that this degeneration indeed corresponds to an effective negative feedback mechanism that improves linearity and accuracy in addition to increasing the amplifier input impedance, all at the expense of reduced voltage gain.

关键词： electronics design of electronic amplifiers amplifier sensitivity design for robustness

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Fault Diagnosis of Analog circuits Based on Multi-Scale 1D Convolutional Neural Network 32

Fault Diagnosis of Analog Circuits Based on Multi-Scale 1D C...

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32nd ieee Asian Test symposium (ATS)

作者： Wang, Weiwei Zhang, Yongchao You, Feng Yin, Zhigang Zhao, Ruilian Beijing Univ Chem Technol Beijing Peoples R China Chinese Acad Sci Inst Automat Beijing Peoples R China

ISBN: (纸本)9798350303100

Analog circuit is an important component of modern electronic systems. However, the soft fault diagnosis of analog circuits is challenging due to their large parameter variability and complex internal structure. So, this paper proposes an automatic fault diagnosis method based on Multi-Scale 1D Convolutional Neural Network (MS-1D-CNN) for analog circuits. Considering that faults may disappear or weaken during the propagation process and cannot be manifested in the output signals, the fault diagnosis model is trained and constructed based on an optimum set of test points with the maximum degree of fault isolation and least test points. Furthermore, because the data at different test points and time periods have different influences on fault diagnosis, a mixed attention mechanism combining both channel and spatial attention is adopted to extract more critical information in the fault diagnosis model, achieving a more accurate soft fault diagnosis for analog circuits. Experiments are conducted on four widely used benchmark circuits. The results show that our method has higher accuracy of fault diagnosis than the existing methods, and the fault diagnosis model based on multi-test points data has higher accuracy than that solely based on the output signals for analog circuits.

关键词： Analog circuit fault diagnosis multi-scale convolution mixed attention mechanism multi-test points

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