Design of tunable thermo-optic C-band filter based on coated silicon slab

2018 ◽  
Author(s):  
Zeev Zalevsky ◽  
Hadar Pinhas ◽  
Dror Malka ◽  
Yossef Danan ◽  
Moshe Sinvani
Keyword(s):  
Band Filter ◽  
Silicon Slab

Study of the Leakage Loss in a Silica-on-Silicon Slab Waveguide

2003 ◽  
Vol 22 (4) ◽  
pp. 249-261 ◽  
Author(s):  
JUN LU ◽  
SAILING HE ◽  
VLADIMIR ROMANOV
Keyword(s):  
Slab Waveguide ◽  
Leakage Loss ◽  
Silicon Slab

Expansion of a Frequency Range in the WR-4 Band Filter Bank

2019 ◽  
Vol 139 (11) ◽  
pp. 551-557 ◽  
Author(s):  
Takashi Kawamura ◽  
Masaaki Fuse ◽  
Shigenori Mattori
Keyword(s):  
Filter Bank ◽  
Frequency Range ◽  
Band Filter

scholarly journals Design of FIR Half-band Filter with Controllable Transition-band Steepness

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Woon Cho ◽  
Daewon Chung ◽  
Yunsun Kim ◽  
Ingyun Kim ◽  
Joonhyeon Jeon
Keyword(s):  
Transition Band ◽  
Band Filter

scholarly journals Extinction-free Census of AGNs in the AKARI/IRC North Ecliptic Pole Field from 23-band infrared photometry from Space Telescopes

2020 ◽  
Vol 499 (3) ◽  
pp. 4068-4081 ◽  
Author(s):  
Ting-Wen Wang ◽  
Tomotsugu Goto ◽  
Seong Jin Kim ◽  
Tetsuya Hashimoto ◽  
Denis Burgarella ◽  
...  
Keyword(s):  
Spectral Energy Distribution ◽  
Cosmic Time ◽  
Spectral Energy ◽  
Wide Field ◽  
Space Telescopes ◽  
Distribution Modelling ◽  
Star Forming ◽  
The North ◽  
Band Filter ◽  
Infrared Survey

ABSTRACT In order to understand the interaction between the central black hole and the whole galaxy or their co-evolution history along with cosmic time, a complete census of active galactic nucleus (AGN) is crucial. However, AGNs are often missed in optical, UV, and soft X-ray observations since they could be obscured by gas and dust. A mid-infrared (MIR) survey supported by multiwavelength data is one of the best ways to find obscured AGN activities because it suffers less from extinction. Previous large IR photometric surveys, e.g. Wide field Infrared Survey Explorer and Spitzer, have gaps between the MIR filters. Therefore, star-forming galaxy-AGN diagnostics in the MIR were limited. The AKARI satellite has a unique continuous nine-band filter coverage in the near to MIR wavelengths. In this work, we take advantage of the state-of-the-art spectral energy distribution modelling software, cigale, to find AGNs in MIR. We found 126 AGNs in the North Ecliptic Pole-Wide field with this method. We also investigate the energy released from the AGN as a fraction of the total IR luminosity of a galaxy. We found that the AGN contribution is larger at higher redshifts for a given IR luminosity. With the upcoming deep IR surveys, e.g. JWST, we expect to find more AGNs with our method.

scholarly journals High-wearable EEG-based distraction detection in motor rehabilitation

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Andrea Apicella ◽  
Pasquale Arpaia ◽  
Mirco Frosolone ◽  
Nicola Moccaldi
Keyword(s):  
Automated System ◽  
Pass Band ◽  
Motor Rehabilitation ◽  
Common Spatial Pattern ◽  
K Nearest Neighbors ◽  
Dry Electrodes ◽  
Wearable Eeg ◽  
Band Filter ◽  
Therapy Effectiveness ◽  
Supervised Classifiers

AbstractA method for EEG-based distraction detection during motor-rehabilitation tasks is proposed. A wireless cap guarantees very high wearability with dry electrodes and a low number of channels. Experimental validation is performed on a dataset from 17 volunteers. Different feature extractions from spatial, temporal, and frequency domain and classification strategies were evaluated. The performances of five supervised classifiers in discriminating between attention on pure movement and with distractors were compared. A k-Nearest Neighbors classifier achieved an accuracy of 92.8 ± 1.6%. In this last case, the feature extraction is based on a custom 12 pass-band Filter-Bank (FB) and the Common Spatial Pattern (CSP) algorithm. In particular, the mean Recall of classification (percentage of true positive in distraction detection) is higher than 92% and allows the therapist or an automated system to know when to stimulate the patient’s attention for enhancing the therapy effectiveness.

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