CATHODE-RAY-TUBE SIGNAL ACTIVITY RECORDER

Cathode-ray tube

AccessScience ◽

10.1036/1097-8542.114010 ◽

2015 ◽

Keyword(s):

Cathode Ray Tube

Download Full-text

Signal Activity Detection of Offset-QPSK in Colored Gaussian Noise

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e94.a.2226 ◽

2011 ◽

Vol E94-A (11) ◽

pp. 2226-2229

Author(s):

Sayed Jalal ZAHABI ◽

Mohammadali KHOSRAVIFARD ◽

Ali A. TADAION ◽

T. Aaron GULLIVER

Keyword(s):

Gaussian Noise ◽

Activity Detection ◽

Signal Activity ◽

Colored Gaussian Noise

Download Full-text

An anterior limit of FGF/Erk signal activity marks the earliest future somite boundary in zebrafish

Development ◽

10.1242/dev.098905 ◽

2014 ◽

Vol 141 (5) ◽

pp. 1104-1109 ◽

Cited By ~ 28

Author(s):

R. Akiyama ◽

M. Masuda ◽

S. Tsuge ◽

Y. Bessho ◽

T. Matsui

Keyword(s):

Signal Activity

Download Full-text

Chemical–Electrochemical Process Concept for Lead Recovery from Waste Cathode Ray Tube Glass

Materials ◽

10.3390/ma14061546 ◽

2021 ◽

Vol 14 (6) ◽

pp. 1546

Author(s):

Árpád Imre-Lucaci ◽

Melinda Fogarasi ◽

Florica Imre-Lucaci ◽

Szabolcs Fogarasi

Keyword(s):

Flow Rate ◽

Current Density ◽

Complete Recovery ◽

Electrochemical Process ◽

Operating Conditions ◽

General Effect ◽

Optimal Operating ◽

Recirculation Flow ◽

Lead Recovery ◽

Cathode Ray Tube

This paper presents a novel approach for the recovery of lead from waste cathode-ray tube (CRT) glass by applying a combined chemical-electrochemical process which allows the simultaneous recovery of Pb from waste CRT glass and electrochemical regeneration of the leaching agent. The optimal operating conditions were identified based on the influence of leaching agent concentration, recirculation flow rate and current density on the main technical performance indicators. The experimental results demonstrate that the process is the most efficient at 0.6 M acetic acid concentration, flow rate of 45 mL/min and current density of 4 mA/cm2. The mass balance data corresponding to the recycling of 10 kg/h waste CRT glass in the identified optimal operating conditions was used for the environmental assessment of the process. The General Effect Indices (GEIs), obtained through the Biwer Heinzle method for the input and output streams of the process, indicate that the developed recovery process not only achieve a complete recovery of lead but it is eco-friendly as well.

Download Full-text

Whale optimization algorithm fused with SVM to detect stress in EEG signals

Intelligent Decision Technologies ◽

10.3233/idt-200047 ◽

2021 ◽

Vol 15 (1) ◽

pp. 87-97

Author(s):

Richa Gupta ◽

M. Afshar Alam ◽

Parul Agarwal

Keyword(s):

Optimization Algorithm ◽

Whale Optimization Algorithm ◽

Humpback Whales ◽

Support Vector ◽

Eeg Signals ◽

Hunting Behavior ◽

Positron Emission ◽

Whale Optimization ◽

Signal Activity ◽

Work Done

Identifying stress and its level has always been a challenging area for researchers. A lot of work is going on around the world on the same. An attempt has been made by the authors in this paper as they present a methodology for detecting stress in EEG signals. Electroencephalogram (EEG) is commonly used to acquire brain signal activity. Though there exist other techniques to extract the same like Functional magnetic resonance imaging (fMRI), positron emission tomography (PET) we have used EEG as it is economical. We have used an open-source dataset for EEG data. Various images are used as the target stressor for collecting EEG signals. After feature selection and extraction, a support vector machine (SVM) with a whale optimization algorithm (WOA) in its kernel function for classification is used. WOA is a bio-inspired meta-heuristic algorithm, based on the hunting behavior of humpback whales. Using this method, we had obtained 91% accuracy for detecting the stress. The paper also compared the previous work done in detecting stress with the work proposed in this paper.

Download Full-text