scholarly journals An Improved Infrared/Visible Fusion for Astronomical Images

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Attiq Ahmad ◽  
Muhammad Mohsin Riaz ◽  
Abdul Ghafoor ◽  
Tahir Zaidi
Keyword(s):  
State Of The Art ◽  
Invariance Property ◽  
Complex Wavelet Transform ◽  
Noise Effects ◽  
Distance Transforms ◽  
Local Standard ◽  
Shift Invariance ◽  
Simulation Results ◽  
Astronomical Images ◽  
Fusion Scheme

An undecimated dual tree complex wavelet transform (UDTCWT) based fusion scheme for astronomical visible/IR images is developed. The UDTCWT reduces noise effects and improves object classification due to its inherited shift invariance property. Local standard deviation and distance transforms are used to extract useful information (especially small objects). Simulation results compared with the state-of-the-art fusion techniques illustrate the superiority of proposed scheme in terms of accuracy for most of the cases.

Image Enhancement Method for Steel Surface Defects Based on DT-CWT

2013 ◽  
Vol 380-384 ◽  
pp. 3686-3689
Author(s):  
Zhi Xin Chen ◽  
Ping Wang ◽  
Shi Kun Xie
Keyword(s):  
Surface Defects ◽  
Signal To Noise Ratio ◽  
Wavelet Denoising ◽  
Complex Wavelet Transform ◽  
Enhancement Method ◽  
Shift Invariance ◽  
Gaussian Probability Distribution ◽  
Simulation Results ◽  
Non Gaussian ◽  
Better Than

A method based on Dual-Tree Complex Wavelet Transform (DT-CWT) was proposed for enhancing the images. By taking into account the non-Gaussian probability distribution and the statistical dependencies among wavelet coefficients of some signals, and by taking advantage of near shift-invariance of DT-CWT, it can obtain higher signal-to-noise ratio (SNR) than common wavelet denoising methods. The simulation results show that the proposed method is better than the traditional methods. It has a good enhancement performance which can improve the details of the image automatically.

An Image De-Noising Algorithm Based on the Dual-Tree Complex Wavelet

2011 ◽  
Vol 403-408 ◽  
pp. 1412-1415
Author(s):  
Yong Min Ning ◽  
Ling Ling Li ◽  
Hua Shi ◽  
Jing Chen
Keyword(s):  
Wavelet Transform ◽  
Invariance Property ◽  
Threshold Strategy ◽  
Complex Wavelet Transform ◽  
Shrinkage Function ◽  
Parents And Children ◽  
Shift Invariance ◽  
Complex Wavelet ◽  
Bivariate Shrinkage ◽  
Visual Results

In this paper, an image de-noising algorithm based on the Dual-Tree Complex Wavelet Transform (DT-CWT) is proposed, which takes the advantage of redundant coefficients transformed by DT-CWT. The model of bivariate shrinkage function is used to provide a nonlinear threshold strategy. It exploits the dependency between inter-scale parents and children coefficients to recover the original coefficients more accurate. With the shift-invariance property of DT-CWT coefficients, the algorithm prevents the Gibbs effect caused by the thresholding, which further improves the reconstructed quality. Experiment results show that the de-noised image using DT-CWT can achieve more than 1dB prior to DWT with impressive visual results.

scholarly journals COVID-19 Diagnosis Using Capsule Network and Fuzzy C -Means and Mayfly Optimization Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Ali Farki ◽  
Zahra Salekshahrezaee ◽  
Arash Mohammadi Tofigh ◽  
Reza Ghanavati ◽  
Behdad Arandian ◽  
...  
Keyword(s):  
State Of The Art ◽  
Optimal Method ◽  
X Ray ◽  
Suggested Technique ◽  
Improve Accuracy ◽  
Sensitivity Rate ◽  
Chest X Ray ◽  
Therapeutic Measures ◽  
Simulation Results ◽  
Day By Day

The COVID-19 epidemic is spreading day by day. Early diagnosis of this disease is essential to provide effective preventive and therapeutic measures. This process can be used by a computer-aided methodology to improve accuracy. In this study, a new and optimal method has been utilized for the diagnosis of COVID-19. Here, a method based on fuzzy C -ordered means (FCOM) along with an improved version of the enhanced capsule network (ECN) has been proposed for this purpose. The proposed ECN method is improved based on mayfly optimization (MFO) algorithm. The suggested technique is then implemented on the chest X-ray COVID-19 images from publicly available datasets. Simulation results are assessed by considering a comparison with some state-of-the-art methods, including FOMPA, MID, and 4S-DT. The results show that the proposed method with 97.08% accuracy and 97.29% precision provides the highest accuracy and reliability compared with the other studied methods. Moreover, the results show that the proposed method with a 97.1% sensitivity rate has the highest ratio. And finally, the proposed method with a 97.47% F 1 -score rate gives the uppermost value compared to the others.

State-of-the-Art Master Slave Flip-Flop Designs for Low Power VLSI Systems

2016 ◽  
pp. 166-198
Author(s):  
Kunwar Singh ◽  
Satish Chandra Tiwari ◽  
Maneesha Gupta
Keyword(s):  
Low Power ◽  
State Of The Art ◽  
Relative Power ◽  
Power Budget ◽  
Comprehensive Overview ◽  
Feedback Strategy ◽  
Flip Flop ◽  
Simulation Results

This chapter presents a comprehensive overview of the conventional fully static master slave flip-flops used in low power VLSI systems where power budget is critical. In addition, the chapter also presents alternative realization of fully static master-slave flip-flops utilizing a modified feedback strategy. The flip-flops designed on the basis of modified architecture have been explained in detail and compared with state-of-the-art master slave flip-flop designs available in the literature. Extensive capacitance calculations have been performed in terms of clock load and capacitance at internal nodes has also been estimated for all the flip-flop configurations. This is executed in order to compare their relative power and delay characteristics which are well supported by simulation results.

Research on Pose Estimation for Electric Vehicle’s Fast-Swap Battery Box Based on Visual Information

2012 ◽  
Vol 253-255 ◽  
pp. 2252-2257
Author(s):  
Yu Ming Wu ◽  
Shuo Liu ◽  
Gao Yang Zhang ◽  
Xiao Yan Yin ◽  
Ming Yu Zhao ◽  
...  
Keyword(s):  
Coordinate System ◽  
Pose Estimation ◽  
Visual Information ◽  
Experimental Results ◽  
Noise Effects ◽  
Simulation Results ◽  
Camera Coordinate System

For the reason of difficult to get battery box pose information, we research the battery box pose measure method based on visual information. We get the coplanar four points at the lines constraints which extracted form image. We get the pose relationship between the battery box coordinate system and camera coordinate system, and then calculate the average of the measure results to reduce noise effects for measure precision. Simulation results show that the method through calculate average of the measure results can effectively reduce noise effects for measure accuracy. The actual experimental results show that the pose estimate accuracy is meet robot requirements for battery swap.

scholarly journals Tag Localization with Asynchronous Inertial-Based Shifting and Trilateration

Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5204
Author(s):  
Alma’aitah ◽  
Eslim ◽  
Hassanein
Keyword(s):  
Low Power ◽  
Indoor Localization ◽  
State Of The Art ◽  
Location Estimation ◽  
Object Localization ◽  
Personal Area Networks ◽  
Matlab Simulation ◽  
Tag Localization ◽  
Simulation Results ◽  
Localization Data

Personal Area Networks (PAN) are key topologies in pervasive Internet of Things (IoT) localization applications. In the numerous object localization techniques, centralization and synchronization between the elements are assumed. In this paper, we leverage crowdsourcing from multiple fixed and mobile elements to enhance object localization. A cooperative crowdsourcing scheme is proposed to localize mobile low power tags using distributed and mobile/fixed readers for GPS assisted environments (i.e., outdoor) and fixed readers for indoors. We propose Inertial-Based Shifting and Trilateration (IBST) technique to provide an accurate reckoning of the absolute location of mobile tags. The novelty in our technique is its capability to estimate tag locations even when the tag is not covered by three readers to perform trilateration. In addition, IBST provides scalability since no processing is required by the low power tags. IBST technique is validated through extensive simulations using MATLAB. Simulation results show that IBST consistently estimates location, while other indoor localization solutions fail to provide such estimates as the state-of-the-art techniques require localization data to be available simultaneously to provide location estimation.

scholarly journals Computer Simulation of Noise Effects of the Neighborhood of Stimulus Threshold for a Mathematical Model of Homeostatic Regulation of Sleep-Wake Cycles

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Wuyin Jin ◽  
Qian Lin ◽  
An Wang ◽  
Chunni Wang
Keyword(s):  
Mathematical Model ◽  
Computer Simulation ◽  
Regulatory Mechanism ◽  
Sine Function ◽  
Homeostatic Regulation ◽  
External Current ◽  
Noise Effects ◽  
Falling Asleep ◽  
Current Input ◽  
Simulation Results

The noise effects on a homeostatic regulation of sleep-wake cycles’ neuronal mathematical model determined by the hypocretin/orexin and the local glutamate interneurons spatiotemporal behaviors are studied within the neighborhood of stimulus threshold in this work; the neuronal noise added to the stimulus, the conductance, and the activation variable of the modulation function are investigated, respectively, based on a circadian input skewed in sine function. The computer simulation results suggested that the increased amplitude of external current input will lead to the fact that awakening time is advanced but the sleepy time remains the same; for the bigger conductance and modulation noise, the regulatory mechanism of the model sometimes will be collapsed and the coupled two neurons of the model show very irregular activities; the falling asleep or wake transform appears at nondeterminate time.

Case Study of the Puna Geothermal Power Plant and Proposed Retrofit H2S Gas Mitigation Strategies

2020 ◽  
Author(s):  
Kevin R. Anderson ◽  
Wael Yassine
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
State Of The Art ◽  
Mitigation Strategies ◽  
Geothermal Power Plant ◽  
Current State ◽  
Abatement Strategies ◽  
Simulation Results ◽  
Geothermal Power

Abstract This paper presents modeling of the Puna Geothermal Venture as a case study in understanding how the technology of geothermal can by successfully implemented. The paper presents a review of the Puna Geothermal Venture specifications, followed by simulation results carried out using NREL SAM and RETSCREEN analysis tools in order to quantify the pertinent metrics associated with the geothermal powerplant by retrofitting its current capacity of 30 MW to 60 MW. The paper closes with a review of current state-of-the art H2S abatement strategies for geothermal power plants, and presents an outline of how these technologies can be implemented at the Puna Geothermal Venture.

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