A Comprehensive Analysis of Junctionless Tri-Gate (TG) FinFET Towards Low-Power and High-Frequency Applications at 5-nm Gate Length

Silicon ◽  
2021 ◽  
Author(s):  
V. Bharath Sreenivasulu ◽  
Vadthiya Narendar
Keyword(s):  
Low Power ◽  
High Frequency ◽  
Comprehensive Analysis ◽  
Gate Length

Compact Hardware Implementations of MISTY1 Block Cipher

2017 ◽  
Vol 27 (03) ◽  
pp. 1850037 ◽  
Author(s):  
Yasir ◽  
Ning Wu ◽  
Xiaoqiang Zhang
Keyword(s):  
Low Power ◽  
Block Cipher ◽  
Comprehensive Analysis ◽  
The Other ◽  
Key Generation ◽  
Round Function ◽  
Other Hand ◽  
Hardware Implementations ◽  
Covered Area

This paper proposes compact hardware implementations of 64-bit NESSIE proposed MISTY1 block cipher for area constrained and low power ASIC applications. The architectures comprise only one round MISTY1 block cipher algorithm having optimized FO/FI function by re-utilizing S9/S7 substitution functions. A focus is also made on efficient logic implementations of S9 and S7 substitution functions using common sub-expression elimination (CSE) and parallel AND/XOR gates hierarchy. The proposed architecture 1 generates extended key with independent FI function and is suitable for MISTY1 8-rounds implementation. On the other hand, the proposed architecture 2 uses a single FO/FI function for both MISTY1 round function as well as extended key generation and can be employed for MISTY1 [Formula: see text] rounds. To analyze the performance and covered area for ASICs, Synopsys Design Complier, SMIC 0.18[Formula: see text][Formula: see text]m @ 1.8[Formula: see text]V is used. The hardware constituted 3041 and 2331 NAND gates achieving throughput of 171 and 166 Mbps for 8 rounds implementation of architectures 1 and 2, respectively. Comprehensive analysis of proposed designs is covered in this paper.

High frequency, large displacement, and low power consumption piezoelectric translational actuator based on an oval loop shell

2012 ◽  
Vol 176 ◽  
pp. 99-109 ◽  
Author(s):  
Taiho Yeom ◽  
Terrence W. Simon ◽  
Min Zhang ◽  
Mark T. North ◽  
Tianhong Cui
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
High Frequency ◽  
Large Displacement ◽  
Low Power Consumption

scholarly journals THE EFFICIENCY ASSESSMENT OF THE STATE SYSTEM OF NUCLEAR SAFETY CONTROL OF NSC-SO

2020 ◽  
pp. 71-80
Author(s):  
R.L. Godun ◽  
A.O. Doroshenko ◽  
D.О. Muliar
Keyword(s):  
Monitoring System ◽  
High Frequency ◽  
Comprehensive Analysis ◽  
Nuclear Safety ◽  
Nuclear Waste Storage ◽  
Safety Control ◽  
Waste Storage ◽  
Efficiency Assessment ◽  
Alarm Systems ◽  
Safety Monitoring System

According to the results of a comprehensive analysis, it was found that the nuclear safety monitoring system (NSMS) does not fully comply with the requirements put forward to it. By assessing the sufficiency of the detection points of this monitoring system, it was found that there is no monitoring at the cluster of nuclear fissile materials (NFM) in the central hall and at the “northern” cluster in 305/2 rooms. The effectiveness of monitoring the “southern” cluster of NFM in the room. 305/2 is insufficient and does not comply with the standards regulated by the rules of nuclear safety. Also, a number of other requirements to the NSMS (as the emergency alarm systems of the spent nuclear waste storage facility) are not fulfilled. It is proposed to re-arrange the measuring channels (MC) of the system, decommission excess (non-informative) MC and use their equipment to organize new effective monitoring points; to upgrade the software and arrange individual ground of the system to reduce the influence of high-frequency interference.

scholarly journals A Neuromorphic Spiking Neural Network Detects Epileptic High Frequency Oscillations in the Scalp EEG

2021 ◽  
Author(s):  
Karla Burelo ◽  
Georgia Ramantani ◽  
Giacomo Indiveri ◽  
Johannes Sarnthein
Keyword(s):  
Low Power ◽  
Seizure Frequency ◽  
High Frequency ◽  
Therapy Monitoring ◽  
Non Invasive ◽  
Scalp Eeg ◽  
High Frequency Oscillations ◽  
Eeg Recordings ◽  
Active Epilepsy ◽  
Wearable Electronic Devices

Abstract Background: Interictal High Frequency Oscillations (HFO) are measurable in scalp EEG. This has aroused interest in investigating their potential as biomarkers of epileptogenesis, seizure propensity, disease severity, and treatment response. The demand for therapy monitoring in epilepsy has kindled interest in compact wearable electronic devices for long- term EEG recording. Spiking neural networks (SNN) have been shown to be optimal architectures for being embedded in compact low-power signal processing hardware. Methods: We analyzed 20 scalp EEG recordings from 11 patients with pediatric focal lesional epilepsy. We designed a custom SNN to detect events of interest (EoI) in the 80-250 Hz ripple band and reject artifacts in the 500-900 Hz band. Results: We identified the optimal SNN parameters to automatically detect EoI and reject artifacts. The occurrence of HFO thus detected was associated with active epilepsy with 80% accuracy. The HFO rate mirrored the decrease in seizure frequency in 8 patients (p = 0.0047). Overall, the HFO rate correlated with seizure frequency (rho = 0.83, p < 0.0001, Spearman’s correlation).Conclusions: The fully automated SNN detected clinically relevant HFO in the scalp EEG. This is a further step towards non-invasive epilepsy monitoring with a low-power wearable device.

High frequency InAs-channel HEMTs for low power ICs

2004 ◽  
Author(s):  
Y. Royter ◽  
K.R. Elliott ◽  
P.W. Deelman ◽  
R.D. Rajavel ◽  
D.H. Chow ◽  
...  
Keyword(s):  
Low Power ◽  
High Frequency

A low-power droplet manipulator employing high-frequency surface acoustic waves

2009 ◽  
Vol 92 (4) ◽  
pp. 49-55
Author(s):  
Tsutomu Sasaki ◽  
Yasutomo Tanaka ◽  
Tatsuya Omori ◽  
Ken-Ya Hashimoto ◽  
Masatsune Yamaguchi
Keyword(s):  
Low Power ◽  
Acoustic Waves ◽  
High Frequency ◽  
Surface Acoustic Waves
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