EvoDeb: Debugging Evolving Hardware Designs

Bhattacharjee, Debjyoti; Banerjee, Ansuman; Chattopadhyay, Anupam

doi:10.1109/vlsid.2015.87

Cited by 5 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…35−40 In some reports like Fe 3 O 4 /PVDF based PENG has exhibited an outstanding current of 0.4 μA, but the voltage was less in comparison to other PENGs. 41 In some reports like barium titanate/P(VDF−TrFE) and 0.5Ba-(Zr 0.2 Ti 0.8 )O 3 −0.5(Ba 0.7 Ca 0.3 )TiO 3 /P(VDF−TrFE)-based PENGs have exhibited outstanding voltage and current, but the use of expensive processes like a thermal evaporator and poling of the film make the devices uneconomical. 42,43 In this work, the V oc and I sc of an as-fabricated ZFO/PDMS-based PENG was obtained at 40 V and 0.6 μA, respectively, demonstrating its excellent capability for powering small devices.…”

Section: Morphological and Structural Characterization Of Zfo Nanopar...mentioning

confidence: 99%

Zinc Ferrite Nanoparticle-Based Wearable Piezoelectric Nanogenerators as Self-Powered Sensors to Monitor Human Motion

Das

Veeralingam

Badhulika

2023

ACS Appl. Nano Mater.

View full text Add to dashboard Cite

With technological advancements in healthcare, the demand for wearable sensors to monitor human movements has become increasingly popular. However, the limited lifetime of the energy sources that power these devices remains a challenge. In this work, we report on a low-cost, flexible, and skin-conformal wearable piezoelectric nanogenerator (PENG) based on hydrothermally grown zinc ferrite nanoparticles, i.e., ZnFe 2 O 4 (ZFO nanoparticles), and poly-(dimethylsiloxane) (PDMS) composite as a self-powered sensor to monitor patients' activities. The FCC cubic spinel crystal structure of ZFO nanoparticles with Fd3̅ m space group is confirmed by X-ray spectroscopy (XRD) and Raman spectroscopy. The non-centrosymmetric structured ZFO nanoparticles exhibit exceptional piezo-properties, including a d 33 value of 333 pm/V obtained from the piezoresponse force microscopy (PFM) study, which is significantly higher than that of similar class of oxide-based piezoelectric materials. To fabricate the device, the ZFO nanoparticles and PDMS-based composite solution is spin coated on a Cu foil and sandwiched between a pair of Cu foils after drying it. The as-fabricated PENG with an optimized 5 wt % of ZFO nanoparticles exhibits an opencircuit voltage (V oc ) of 40 V and a short-circuit current (I sc ) of 0.6 μA upon finger tapping. Further, the PENG is used as a selfpowered sensor to monitor various human activities, including human gait, fall detection, and joint movement. The fabricated PENG demonstrates excellent stability with 95% voltage output retention after 60 days. The work demonstrated here has enormous potential in the healthcare sector, which involves patient rehabilitation for musculoskeletal abnormalities, leg injuries, and elderly assistance including geriatric rehabilitation, etc.

show abstract

Section: Morphological and Structural Characterization Of Zfo Nanopar...mentioning

confidence: 99%

Zinc Ferrite Nanoparticle-Based Wearable Piezoelectric Nanogenerators as Self-Powered Sensors to Monitor Human Motion

Das

Veeralingam

Badhulika

2023

ACS Appl. Nano Mater.

View full text Add to dashboard Cite

show abstract

“…In recent years, several new fault localization methods for HDL have been developed. Bhattacharjee et al [21] proposed an efficient methodology for automatically localizing design errors across design versions. The proposed technique, EvoDeb, can be easily integrated into a hardware configuration management framework and is scalable for large designs.…”

Section: Introductionmentioning

confidence: 99%

Detraque: Dynamic execution tracing techniques for automatic fault localization of hardware design code

Zhang²,

et al. 2022

PLoS ONE

View full text Add to dashboard Cite

In an error-prone development process, the ability to localize faults is a crucial one. Generally speaking, detecting and repairing errant behavior at an early stage of the development cycle considerably reduces costs and development time. The debugging of the Verilog program takes much time to read the waveform and capture the signal, and in many cases, problem-solving relies heavily on experienced developers. Most existing Verilog fault localization methods utilize the static analysis method to find faults. However, using static analysis methods exclusively may result in some types of faults being inevitably ignored. The use of dynamic analysis could help resolve this issue. Accordingly, in this work, we propose a new fault localization approach for Verilog, named Detraque. After obtaining dynamic execution through test cases, Detraque traces these executions to localize faults; subsequently, it can determine the likelihood of any Verilog statement being faulty and sort the statements in descending order by suspicion score. Through conducting empirical research on real Verilog programs with 61 faulty versions, Detraque can achieve an EXAM score of 18.3%. Thus, Detraque is verified as able to improve Verilog fault localization effectiveness when used as a supplement to static analysis methods.

show abstract

A Verification Guided Approach for Selective Program Transformations for Approximate Computing

Mitra

Das²,

Banerjee

et al. 2016

2016 IEEE 25th Asian Test Symposium (ATS)

View full text Add to dashboard Cite

EvoDeb: Debugging Evolving Hardware Designs

Cited by 5 publications

References 15 publications

Zinc Ferrite Nanoparticle-Based Wearable Piezoelectric Nanogenerators as Self-Powered Sensors to Monitor Human Motion

Zinc Ferrite Nanoparticle-Based Wearable Piezoelectric Nanogenerators as Self-Powered Sensors to Monitor Human Motion

Detraque: Dynamic execution tracing techniques for automatic fault localization of hardware design code

A Verification Guided Approach for Selective Program Transformations for Approximate Computing

Contact Info

Product

Resources

About