Conferences related to Energy-adaptive Circuit Techniques

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2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)

ISIE focuses on advancements in knowledge, new methods, and technologies relevant to industrial electronics, along with their applications and future developments.


2020 IEEE International Symposium on Circuits and Systems (ISCAS)

The International Symposium on Circuits and Systems (ISCAS) is the flagship conference of the IEEE Circuits and Systems (CAS) Society and the world’s premier networking and exchange forum for researchers in the highly active fields of theory, design and implementation of circuits and systems. ISCAS2020 focuses on the deployment of CASS knowledge towards Society Grand Challenges and highlights the strong foundation in methodology and the integration of multidisciplinary approaches which are the distinctive features of CAS contributions. The worldwide CAS community is exploiting such CASS knowledge to change the way in which devices and circuits are understood, optimized, and leveraged in a variety of systems and applications.


2018 IEEE International Workshop on Signal Processing Systems (SiPS)

CFP Areas of Technical Interest• VLSI Based Design and Implementation of Signal Processing Systems– Low-power signal processing circuits and applications– High performance VLSI systems– VLSI design for 100G and beyond networking systems– FPGA and reconfigurable architecture based systems– System-on-chip and network-on-chip– VLSI Systems for Wireless Sensor Network and RF Identification Systems• Software Based Design and Implementation of Signal Processing Systems– Programmable digital signal processor architecture and systems– Application specific instruction-set processor (ASIP) architecture and systems– SIMD, VLIW and multi-core CPU architecture– Graphic processing unit (GPU) based massively parallel implementation– Embedded FPGA architectures• Design Methods of Signal Processing Algorithms and Architectures– Optimization of signal processing algorithms– Compilers and tools for signal processing system design– Algorithm transformation and algorithm-to-architecture


2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

The International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) is an annual academic conference in the wireless research arena organized by the Institute of Electrical and Electronics Engineers' Communications Society. This event has emerged as one of the Communications Society flagship conferences in telecommunications with a long history of bringing together academia, industry and regulatory bodies.


2013 15th International Conference on Advanced Communication Technology (ICACT)

Technology, standard, service, architecture, strategy, and policy in newly emerging systems and a variety of applications in the area of communications. ICACT2013 provides an open forum for scholar, researcher, engineer, policy maker, network planner, and service provider in the advanced communications technologies.


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Periodicals related to Energy-adaptive Circuit Techniques

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Circuits and Systems II: Express Briefs, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


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Most published Xplore authors for Energy-adaptive Circuit Techniques

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Xplore Articles related to Energy-adaptive Circuit Techniques

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RF Power Management via Energy-Adaptive Modulation for Self-Powered Systems

IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2015

This brief presents a system design technique for improving the energy utilization of radio frequency (RF) circuits powered by renewable energy sources. Different from conventional systems, the operation of self-powered RF circuits is largely constrained by two factors: time-varying channel conditions and nondeterministic renewable energy levels. The proposed technique dynamically adjusts the modulation scheme to deal with these two factors ...


Energy-Adaptive Modulation for RF Power Management under Renewable Energy

2012 IEEE Workshop on Signal Processing Systems, 2012

This paper presents a new power management technique for RF circuits powered by renewable energy sources. Different from conventional systems, the performance of self-powered RF circuits is largely constrained by two factors: time-varying fading channel conditions and non-deterministic renewable energy levels. The proposed technique dynamically adjusts the base band modulation scheme to deal with these two factors in a coherent ...


An energy-adaptive MPPT power management unit for micro-power vibration energy harvesting

2008 IEEE International Symposium on Circuits and Systems, 2008

A batteryless power management unit (PMU) that manages harvested low-level vibration energy from a piezoelectric device for a wireless sensor node is presented. An energy-adaptive maximum power point tracking (EA-MPPT) scheme is proposed that allows the PMU to activate different operation modes according to the available power level. The harvested energy is processed by an ac-dc voltage doubler followed by ...


A Digital Calibration Technique for the Correction of Glitches in High-Speed DAC's

2007 IEEE International Symposium on Circuits and Systems, 2007

The accuracy of high-speed DAC's is limited by dynamic effects such as glitches. Here, a digital calibration technique to compensate this effect is presented. Because of the digital approach, this solution can not be an exact correction of the phenomenon, but band limited attenuation. The approach consists of adding a (digital) compensation signal to correct the glitch. Both a 2-tap ...


DMHT-LEACH: Dynamic multi-hop technique for wireless sensor networks

2017 International Symposium on Signals, Circuits and Systems (ISSCS), 2017

Many protocols have been emerged for facing the problem of energy consumption in the wireless sensor network (WSN). Low Energy Adaptive Clustering Hierarchy (LEACH) protocol is one of these protocols, which achieved a lot of spreading. In this paper, a dynamic multi-hop technique (DMHT-LEACH) protocol is proposed based on the LEACH protocol. The DMHT-LEACH protocol suggests a dynamic technique for ...


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Educational Resources on Energy-adaptive Circuit Techniques

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IEEE.tv Videos

The 6-Minute Memristor
What's New in Digital Predistortion
Neuromorphic Mixed-Signal Circuitry for Asynchronous Pulse Processing Neuromorphic Mixed-Signal Circuitry for Asynchronous Pulse Processing - Peter Petre: 2016 International Conference on Rebooting Computing
Micro-Apps 2013: Class F Power Amplifier Design, Including System-to-Circuit-to-EM Simulation
IMS MicroApp: Advances in High Frequency Printed Circuit Board (PCB)
Fast Broadband Impedance Matching with Automatic Circuit Synthesis: MicroApps 2015 - Keysight Technologies
Superconductive Energy-Efficient Computing - ASC-2014 Plenary-series - 6 of 13 - Wednesday 2014/8/13
FinSAL: A Novel FinFET Based Secure Adiabatic Logic for Energy-Efficient and DPA Resistant IoT Devices - Himanshu Thapliyal: 2016 International Conference on Rebooting Computing
ISSCC 2012 - Carmelo Papa Plenary
Neuromorphic Adaptive Edge-preserving Denoising Filter: IEEE Rebooting Computing 2017
ON-CHIP VOLTAGE AND TIMING DIAGNOSTIC CIRCUITS
State-of-the art techniques for advanced vehicle dynamics control & vehicle state estimation
The Grid
Intermodulation Distortion Mitigation in Microwave Amplifiers and Frequency Converters
Mark I. Montrose: Testing for EMC Compliance
Envelope Tracking and Energy Recovery Concepts for RF Switch-mode Power Amplifiers
IEEE Innovation Day 2011- Plenary Address
Asynchronous Design for New Device Development - Laurent Fesquet at INC 2019
ASC-2014 SQUIDs 50th Anniversary: 2 of 6 - John Clarke - The Ubiquitous SQUID
PELS: Leading the Future of Power Electronics

IEEE-USA E-Books

  • RF Power Management via Energy-Adaptive Modulation for Self-Powered Systems

    This brief presents a system design technique for improving the energy utilization of radio frequency (RF) circuits powered by renewable energy sources. Different from conventional systems, the operation of self-powered RF circuits is largely constrained by two factors: time-varying channel conditions and nondeterministic renewable energy levels. The proposed technique dynamically adjusts the modulation scheme to deal with these two factors in a coherent manner. This is the effective way to maximize the data rate of RF circuits while maintaining the required performance under unstable energy supplies. A detailed VLSI implementation is developed with negligible energy overheads. Simulation results demonstrate that the proposed technique outperforms conventional RF circuits based on the fixed modulation scheme under variable channel and energy conditions.

  • Energy-Adaptive Modulation for RF Power Management under Renewable Energy

    This paper presents a new power management technique for RF circuits powered by renewable energy sources. Different from conventional systems, the performance of self-powered RF circuits is largely constrained by two factors: time-varying fading channel conditions and non-deterministic renewable energy levels. The proposed technique dynamically adjusts the base band modulation scheme to deal with these two factors in a coherent manner in order to maximize the data rate of RF circuits. Some practical issues, such as battery aging, have been investigated. The proposed technique is shown to be robust and insensitive to these issues. Simulation results demonstrate that the proposed technique outperforms conventional approaches based on fixed modulation schemes under various conditions.

  • An energy-adaptive MPPT power management unit for micro-power vibration energy harvesting

    A batteryless power management unit (PMU) that manages harvested low-level vibration energy from a piezoelectric device for a wireless sensor node is presented. An energy-adaptive maximum power point tracking (EA-MPPT) scheme is proposed that allows the PMU to activate different operation modes according to the available power level. The harvested energy is processed by an ac-dc voltage doubler followed by on-chip charge pumps with variable up/down conversion ratios for higher efficiency. Interleaving technique is employed for the high-power output to reduce both current and voltage ripples. The PMU is designed using a 0.35mum CMOS process, and simulation results are presented to demonstrate its functions.

  • A Digital Calibration Technique for the Correction of Glitches in High-Speed DAC's

    The accuracy of high-speed DAC's is limited by dynamic effects such as glitches. Here, a digital calibration technique to compensate this effect is presented. Because of the digital approach, this solution can not be an exact correction of the phenomenon, but band limited attenuation. The approach consists of adding a (digital) compensation signal to correct the glitch. Both a 2-tap and a 4-tap correction are investigated and it is shown that they can greatly reduce spurs over a bandwidth of 30% and 60% of the Nyquist band respectively, provided the glitch energy is known. Next, it is shown how an adaptive calibration with an additional low-speed calibration ADC can be used to estimate the glitch energy. Simulations confirm that the spectral performance can be greatly improved this way.

  • DMHT-LEACH: Dynamic multi-hop technique for wireless sensor networks

    Many protocols have been emerged for facing the problem of energy consumption in the wireless sensor network (WSN). Low Energy Adaptive Clustering Hierarchy (LEACH) protocol is one of these protocols, which achieved a lot of spreading. In this paper, a dynamic multi-hop technique (DMHT-LEACH) protocol is proposed based on the LEACH protocol. The DMHT-LEACH protocol suggests a dynamic technique for routing the data of cluster head (CH) through other CHs to the Base Station (BS). The simulation results show that the DMHT-LEACH improves the lifetime and throughput of the sensor network comparing with the IMHT- LEACH and the conventional LEACH protocols.

  • Link and energy adaptive UWB-based embedded sensing with renewable energy

    A new link and energy adaptive UWB-based sensing system is proposed to maximize the detection time coverage of UWB-based pulse radar in embedded sensing applications powered by renewable energy. By jointly considering the link information between the transmitter and receiver of the UWB radar as well as the non-deterministic characteristics of the renewable energy, the proposed system dynamically adjusts the pulse repetition frequency of the UWB radar to enhance the energy efficiency. Simulation results demonstrate that the proposed system can significantly improve the average detection time coverage as compared with the conventional system. The proposed technique is also insensitive to battery issues such as limited battery capacity.

  • State space controller design for a spatial inverted cart/pendulum system

    A full state-variable feedback controller design for a state-space linear model of an inverted pendulum with two degrees of freedom mounted on a two- degree-of-freedom motor-driven cart is presented. This design is based on a pole-placement technique. The result of numerical simulation of the closed- loop system response to an initial disturbance is presented.<<ETX>>

  • Energy Efficient Canny Edge Detector for Advanced Mobile Vision Applications

    In this paper, we present an energy-efficient architecture of the Canny edge detector for advanced mobile vision applications. Three key techniques for reducing computational complexity of the Canny edge detector are presented. First, by exploiting the rank characteristic of the convolution kernel of Gaussian smoothing and Sobel gradient filters, common computations are identified and shared in the image filter design to reduce the number of additions and multiplications. For the gradient magnitude/direction computation, only three directions of neighboring pixels are considered to reduce computation energy with minor degradation on conformance performance (CP). For the adaptive threshold selections, an interesting observation is that the mean values of gradient magnitudes show small variations depending on the classified block types. Thus, the threshold selection process can be simplified as multiplying the mean value of the local block with predecided constants. The proposed low complexity Canny edge detector has been implemented using both field-programmable gate arrays (FPGAs) and a 65-nm standard-cell library. The FPGA implementation with Xilinx Virtex-V (XC5VSX240T) shows that our edge detector achieves 48% of area and 73% of execution time savings over the conventional architecture without seriously sacrificing the detection performance. The proposed edge detector implemented with 65-nm standard-cell library can easily support real-time ultrahigh definition video data processing (50 frames/s) with the power consumption of 5.48 mW (108.84 μJ/frame).

  • A 12-μW to 1.1-mW AIM Piezoelectric Energy Harvester for Time-Varying Vibrations With 450-nA<inline-formula><tex-math>$I_{\bm Q}$</tex-math></inline-formula>

    Continuing advancements in low power VLSI systems have enabled the use of self-powered wireless sensor nodes (WSNs) for many industrial applications. To alleviate WSN battery maintenance requirements, piezoelectric devices are implemented to harvest vibration energy. However, significant challenges remain unresolved with regard to harvesting from time-varying vibrations in environments where harvestable energy is unpredictable. This paper presents a new integrated piezoelectric energy harvesting system. An adaptive impedance matching maximum power point tracking technique is proposed to improve harvesting efficiency. An adaptive on-time dc-dc controller with pulse skipping modulation is also employed. To retain reasonable efficiency in such low power applications, the controller is designed with ultralow power analog circuits and zero bias current dynamic circuits, with a total quiescent current of only 450 nA. The design is fabricated and verified on a 0.25-μm CMOS process. It is capable of harvesting time-varying piezoelectric energy ranging of 12 μW to 1.1 mW. In comparison with quasi-resistive impedance matching, a harvesting improvement of more than two times is achieved. Thanks to the low power design effort, it achieves greater than 70% efficiency from 80 μW to 1.1 mW.

  • Adaptive front-end throttling for superscalar processors

    To achieve high performance, conventional superscalar processors maintain maximum front-end instruction delivery bandwidth, which is often suboptimal when program behavior and priority metrics change. This paper proposes an adaptive front-end throttling technique that dynamically adjusts the front-end instruction delivery bandwidth as program behavior changes to optimize a target metric, being performance, energy, or an arbitrary trade-off between them. Circuit-level synthesis (45nm FreePDK) and simulation show that adaptive front-end throttling incurs negligible overhead but achieves average improvements of 7%, 28%, 28%, and 32% for performance, energy, energy-delay product, and energy-delay-squared product, respectively, over all benchmarks on an 8-way superscalar processor.



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