2015 2nd International Symposium on Physics and Technology of Sensors (ISPTS) 2015
DOI: 10.1109/ispts.2015.7220119
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Identification of hotspots on FPGA using Time to Digital Converter and distributed tiny sensors

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Cited by 7 publications
(7 citation statements)
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“…Two such controllable oscillators with a difference in their oscillating period can be used to form Vernier ring oscillator TDC. 57,58 Figure 12 shows the arrangement in the topology. Figure 13 shows the timing diagram of the Vernier ring oscillator TDC.…”
Section: Vernier Ring Oscillator Tdc (Cyclic Vernier/nonius Tdc)mentioning
confidence: 99%
“…Two such controllable oscillators with a difference in their oscillating period can be used to form Vernier ring oscillator TDC. 57,58 Figure 12 shows the arrangement in the topology. Figure 13 shows the timing diagram of the Vernier ring oscillator TDC.…”
Section: Vernier Ring Oscillator Tdc (Cyclic Vernier/nonius Tdc)mentioning
confidence: 99%
“…In addition to TDC logic, other controlling logic circuits can be integrated within a single FPGA device. At present, most commonly implemented methods are multiphase clock interpolation [12], pulse shrinking [13], Tapped Delay Line (TDL) [14], the Vernier method [15], and the Vernier delay line (VDL) method [16]. In our case, the TDL method is used in order to achieve the required time resolution of 25 ps RMS.…”
Section: A Tdc Logic Designmentioning
confidence: 99%
“…Such a trend has prospects of becoming integrated into biosensor and FPGAs platform in health care systems. [10][11][12] The biosensors integrated with the FPGA platform can monitor and measure the human body temperature, heart rate, and respiratory rate with an accuracy up to 96%. In, 11 fully digital time-domain temperature sensors driven by five pulse-generators are designed and implemented in the FPGA platform.…”
Section: Introductionmentioning
confidence: 99%
“…[10][11][12] The biosensors integrated with the FPGA platform can monitor and measure the human body temperature, heart rate, and respiratory rate with an accuracy up to 96%. In, 11 fully digital time-domain temperature sensors driven by five pulse-generators are designed and implemented in the FPGA platform. An energy efficient hardware model was implemented on the FPGA, 12 This model is used to compress and reconstruct body vital signs data, for example, EEG and ECG, based on discrete wavelet transform (DWT).…”
Section: Introductionmentioning
confidence: 99%