Demonstration of Equal Input (Intensity and Phase) MMI Like Power Coupler by using Nano-Pixel Structure

2021 ◽  
Author(s):  
Keiichiro Shoda ◽  
Xiao He ◽  
Keiichiro Kozu ◽  
Haisong Jiang ◽  
Kiichi Hamamoto
Keyword(s):  
Input Intensity

scholarly journals The comparison of gains prescribed for digital behind-the-ear hearing aids using the manufacturer-specific and conventional prescriptive formulas

2021 ◽  
Author(s):  
Shahin Shyekhaghaei ◽  
Seyyed Jalal Sameni ◽  
Nariman Rahbar
Keyword(s):  
Hearing Loss ◽  
Hearing Aids ◽  
Input Output ◽  
Frequency Range ◽  
Sensation Level ◽  
Input Intensity ◽  
Multi Stage ◽  
Significant Difference ◽  
Different Levels ◽  
Frequency Intensity

Background and Aim: There are several prescriptive formulas for covering a variety of hearing loss, each of which applies relatively different amplifications at different frequencies. This study aims to compare the gains prescribed for digital behind-the-ear (BTE) hearing aids by the Desired Sensation Level Multi-Stage [Input/Output] (DSLm[I/O]), National Acoustic Laboratories-non linear2 (NAL-NL2) and manufacturer-specific formulas at different levels of input intensity. Methods: The gain values in 12-channel BTE hearing aids prepared from four companies (Oticon, Phonak, ReSound and Siemens) were measured at three levels of input intensity (45, 65, and 85 dB SPL) and at a frequency range of 250−8000 Hz for two moderately severe flat and mild sloping to severe hearing losses by using the DSLm[I/O], NAL-NL2 and manufacturerspecific formulas in the Frye FP35 test box. Results: There was no significant difference between the four selected hearing aids in terms of prescribed gain values using the prescriptive formulas (p > 0.05). Conclusion: The DSLm[I/O] formula prescribes higher gain in the 12-channel BTE hearing aids from Oticon, Phonak and Siemens companies at all input intensities and frequencies for moderately severe flat and mild sloping to severe hearing losses compared to the NAL-NL2 formula and manufacturer-specific formulas (Voice Aligned Compression (VAC), Adaptive Phonak, Connexx Fit and audiogram+). Keywords: National acoustic laboratories-non linear2; desired sensation level multi-stage [input/output]; gain; frequency; intensity levels

Self-pulsing and chaos in acoustooptic bistability

1983 ◽  
Vol 61 (8) ◽  
pp. 1143-1148 ◽  
Author(s):  
J. Chrostowski ◽  
R. Vallee ◽  
C. Delisle
Keyword(s):  
Shot Noise ◽  
Multiplicative Noise ◽  
Laser Intensity ◽  
Period Doubling ◽  
Delayed Feedback ◽  
Chaotic Behaviour ◽  
Input Intensity ◽  
Intensity Fluctuations ◽  
Bistable Device

The output of a hybrid acoustooptic bistable device with delayed feedback is investigated. Depending on the input intensity, such a system exhibits periodic and chaotic behaviour. Period doubling up to period-8 with the reverse Lorentz sequence is presented. The sequence of bifurcations is truncated by the additive electrical shot noise and the multiplicative noise due to the laser intensity fluctuations. Frequency locked oscillations are also presented.

Soil property and cotton productivity changes with nutrient input intensity in the Taklimakan desert of China

2018 ◽  
Vol 32 (4) ◽  
pp. 421-437 ◽  
Author(s):  
Wennong Kuang ◽  
Xiaopeng Gao ◽  
Mario Tenuta ◽  
Zhiwen Ma ◽  
Dongwei Gui ◽  
...  
Keyword(s):  
Soil Property ◽  
Taklimakan Desert ◽  
Nutrient Input ◽  
Input Intensity ◽  
The Taklimakan Desert

Logistics input intensity, trade facilitation and comparative advantage

2021 ◽  
pp. 1-17
Author(s):  
Lei Yang ◽  
Qianli Dong ◽  
Ziqiang Tong ◽  
Qiuling Wang ◽  
Jiani Wu
Keyword(s):  
Comparative Advantage ◽  
Trade Facilitation ◽  
Input Intensity

Enhanced reverse saturable absorption of electrostatic self-assembled layer by layer films containing (8-quinolineoxy-5-sulfonic acid)phthalocyanine cobalt and graphene oxide

RSC Advances ◽  
2015 ◽  
Vol 5 (68) ◽  
pp. 55150-55157 ◽  
Author(s):  
Bowen Chen ◽  
Chunying He ◽  
Weina Song ◽  
Cheng Zhao ◽  
Yachen Gao ◽  
...  
Keyword(s):  
Graphene Oxide ◽  
Sulfonic Acid ◽  
Saturable Absorption ◽  
Reverse Saturable Absorption ◽  
Layer By Layer ◽  
Input Intensity ◽  
Self Assembled ◽  
Self Assembled Layer

The 25-bilayer CoPc/GO film was fabricated through electrostatic self-assembled layer by layer (LBL) technique, and it exhibits strong reverse saturable absorption (RSA) effect with the input intensity of 1.16 μJ.

The complete frequency spectrum of physiological tremor can be recreated by broadband mechanical or electrical drive

2015 ◽  
Vol 113 (2) ◽  
pp. 647-656 ◽  
Author(s):  
Carlijn Andrea Vernooij ◽  
Martin Lakie ◽  
Raymond Francis Reynolds
Keyword(s):  
Middle Finger ◽  
Muscle Stiffness ◽  
Emg Activity ◽  
Physiological Tremor ◽  
Mechanical Resonance ◽  
Low Frequencies ◽  
High Frequency Peak ◽  
Input Intensity ◽  
Frequency Peak ◽  
Finger Tremor

Two frequency peaks of variable preponderance have been reported for human physiological finger tremor. The high-frequency peak (20–25 Hz, seen only in postural tremor) is generally attributed to mechanical resonance, whereas the lower frequency peak (8–12 Hz, seen in both postural and kinetic tremor) is usually attributed to synchronous central or reflexive neural drive. In this study, we determine whether mechanical resonance could generate both peaks. In relaxed subjects, an artificial finger tremor was evoked by random mechanical perturbations of the middle finger or random electrical muscular stimulation of the finger extensor muscle. The high and the low frequencies observed in physiological tremor could both be created by either type of artificial input at appropriate input intensity. Resonance, inferred from cross-spectral gain and phase, occurred at both frequencies. To determine any neural contribution, we compared truly passive subjects with those who exhibited some electromyographic (EMG) activity in the finger extensor; artificially created tremor spectra were almost identical between groups. We also applied electrical stimuli to two clinically deafferented subjects lacking stretch reflexes. They exhibited the same artificial tremor spectrum as control subjects. These results suggest that both typical physiological finger tremor frequencies can be reproduced by random artificial input; neither requires synchronized neural input. We therefore suggest that mechanical resonance could generate both dominant frequency peaks characteristic of physiological finger tremor. The inverse relationship between the input intensity and the resulting tremor frequency can be explained by a movement-dependent reduction in muscle stiffness, a conjecture we support using a simple computational model.

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