This paper presents a communication emulation model for enhancing the efficiency of multi-microgrid (MMG) networks, employing Network Simulator 3 (ns3). MMG systems require robust communication frameworks for coordina...
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To ensure the smooth Terawatt (TW) photovoltaic (PV) transition and secure the TWh power generation over the service lifetime, enhanced digitalization, and automation approaches for effective operation and maintenance...
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A photonic front end for a blue spectral sensor in a standard silicon photonic process is presented. The detector is capable of identifying multiple spectral peaks within the blue wavelength range (410 nm ~ 500 nm), T...
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ISBN:
(数字)9798350361759
ISBN:
(纸本)9798350361766
A photonic front end for a blue spectral sensor in a standard silicon photonic process is presented. The detector is capable of identifying multiple spectral peaks within the blue wavelength range (410 nm ~ 500 nm), The front end consists of grating structures with different grating pitches, followed by tapered waveguides. From the waveguide, the optical power is evanescently coupled to a silicon photodetector. To further improve the overall optical collection for the photo detector, an optical power combining network is also designed and optimized. The designs are fabricated using GlobalFoundries' 45SPCLO technology. The measurement results demonstrate the effect of varying the grating pitch in detecting different spectral peaks within the blue region, with peaks demonstrating responsivities ranging between 32~135 mAIW, depending on the grating pitch and the reverse bias.
The detection and characterization of human veins using infrared (IR) image processing have gained significant attention due to its potential applications in biometric identification, medical diagnostics, and vein-bas...
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The detection and characterization of human veins using infrared (IR) image processing have gained significant attention due to its potential applications in biometric identification, medical diagnostics, and vein-based authentication systems. This paper presents a low-cost approach for automatic detection and characterization of human veins from IR images. The proposed method uses image processing techniques including segmentation, feature extraction, and, pattern recognition algorithms. Initially, the IR images are preprocessed to enhance vein structures and reduce noise. Subsequently, a CLAHE algorithm is employed to extract vein regions based on their unique IR absorption properties. Features such as vein thickness, orientation, and branching patterns are extracted using mathematical morphology and directional filters. Finally, a classification framework is implemented to categorize veins and distinguish them from surrounding tissues or artifacts. A setup based on Raspberry Pi was used. Experimental results of IR images demonstrate the effectiveness and robustness of the proposed approach in accurately detecting and characterizing human. The developed system shows promising for integration into applications requiring reliable and secure identification based on vein patterns. Our work provides an effective and low-cost solution for nursing staff in low and middle-income countries to perform a safe and accurate venipuncture.
In 2016, ITU-T Video Coding Experts Group (VCEG) and ISO/IEC MPEG finalize the recent 3-dimensional video coding standard founded on Multi-view texture Videos plus Depth maps (MVD) format called, the 3D extension of H...
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A high-resolution 64-channel arrayed-waveguide-grating-assisted silicon-nitride integrated optical phase array is demonstrated for 2-D beam steering. A field of view of 5◦ × 25◦ with 0.3◦ vertical resolution is a...
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This study presents an experimental investigation of the impulse breakdown characteristics of natural ester oil, in its pure form, and as the base liquid for a nanofluid with Fe203 nanoparticles (0.050% w/w). A two-st...
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ISBN:
(数字)9798350355185
ISBN:
(纸本)9798350355192
This study presents an experimental investigation of the impulse breakdown characteristics of natural ester oil, in its pure form, and as the base liquid for a nanofluid with Fe203 nanoparticles (0.050% w/w). A two-stage impulse voltage generator and a combination wave generator have been used to determine the distribution of the breakdown voltage and time to breakdown; a standard test-cell per IEC 60897 and a custom-made metal fixture were employed for that purpose. Experimental results are discussed with emphasis given to the response time of the iron oxide nanofluid when compared to the base liquid.
We present a multifractal artificial terrain generation method that uses the 3D Weierstrass-Mandelbrot function to control roughness. By varying the fractal dimension used in terrain generation across three different ...
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Offline reinforcement learning (RL) learns effective policies from a static target dataset. Despite state-of-the-art (SOTA) offline RL algorithms being promising, they highly rely on the quality of the target dataset....
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The possibility of employing a light source with a small wavelength bandwidth (35 nm) and a coarsely resolved spectrometer (~166 pm) for the interrogation of a Vernier effect-based high-sensitivity optical fiber senso...
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