In recent years, a variety of new frameworks streamlining the process of agent-based modeling has emerged. These frameworks serve different purposes and each offers a unique set of features. In this practical comparat...
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We propose two Match-Zehnder interferometers coupled to create a structured illumination digital holographic microscope with tunable modulation frequency capability, expanding the system's numerical aperture regar...
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We propose a novel approach for rendering high-quality spatial audio for 3D scenes that is in synchrony with the visual stream but does not rely or explicitly conditioned on the visual rendering. We demonstrate that s...
The assessment of hybrid energy systems for generating electricity and green hydrogen for cooking and heating is crucial for advancing green technology integration. The annual increases in electricity tariffs have pro...
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ISBN:
(纸本)9798331535162
The assessment of hybrid energy systems for generating electricity and green hydrogen for cooking and heating is crucial for advancing green technology integration. The annual increases in electricity tariffs have prompted individuals to revert to traditional methods of cooking and heating. Research conducted by climatologists indicates that these conventional practices are environmentally harmful and contribute to adverse climate change. This study is aimed at rural communities of Limpopo province to find new ways to bring affordable, reliable electricity and green hydrogen energy for cooking and heating purposes. The study focuses on implementing population size-dependent hybrid energy systems to produce green hydrogen. Four communities in Limpopo province, Ga-Masekwa, Ka-Dzingidzingi, Duthuni, and Mookgopong non-urban, have been randomly selected for this assessment. The Herman-Beta method, in conjunction with Homer Pro software, is employed to estimate maximum loads in selected communities. This approach facilitates the simulation of various hybrid energy system configurations, allowing for a comprehensive analysis of energy generation and consumption dynamics. Configurations comprised of PV/H2/Grid and PV/BES/H2/Grid are evaluated to determine the best hybrid energy system for each community based on economic performance. Results obtained indicate that the PV/H2/Grid configuration is the most cost-effective, with the lowest NPC and LCOE, offering a high return on investment for potential investors. The NPC of this configuration in all communities is R3.01M, R88.3M, R162M, and R299M, respectively. The corresponding LCOEs are 1.02 R/kWh, 1.2 R/kWh, 1.18 R/kWh, and 1.12 R/kWh. However, it is noted that green hydrogen production requires a significant amount of energy, making the hybrid system run more expensive than it would be otherwise. Successful green hydrogen use in rural communities can lead to economic growth, sustainable cities, reduced emissions, and a tr
The content of visual and audio scenes is multi-faceted such that a video stream can be paired with various audio streams and vice-versa. Thereby, in video-to-audio generation task, it is imperative to introduce steer...
The content of visual and audio scenes is multi-faceted such that a video stream can be paired with various audio streams and vice-versa. Thereby, in video-to-audio generation task, it is imperative to introduce steering approaches for controlling the generated audio. While Video-to-Audio generation is a well-established generative task, existing methods lack such controllability. In this work, we propose VATT, a multi-modal generative framework that takes a video and an optional text prompt as input, and generates audio and optional textual description (caption) of the audio. Such a framework has two unique advantages: i) Video-to-Audio generation process can be refined and controlled via text which complements the context of the visual information, and ii) The model can suggest what audio to generate for the video by generating audio captions. VATT consists of two key modules: VATT Converter, which is an LLM that has been fine-tuned for instructions and includes a projection layer that maps video features to the LLM vector space, and VATT Audio, a bi-directional transformer that generates audio tokens from visual frames and from optional text prompt using iterative parallel decoding. The audio tokens and the text prompt are used by a pretrained neural codec to convert them into a waveform. Our experiments show that when VATT is compared to existing video-to-audio generation methods in objective metrics, such as VGGSound audiovisual dataset, it achieves competitive performance when the audio caption is not provided. When the audio caption is provided as a prompt, VATT achieves even more refined performance (with lowest KLD score of 1.41). Furthermore, subjective studies asking participants to choose the most compatible generated audio for a given silent video, show that VATT Audio has been chosen on average as a preferred generated audio than the audio generated by existing methods. VATT enables controllable video-to-audio generation through text as well as suggest
We report the observation of symmetry protected two-photon coherence time of biphotons generated from backward spontaneous four-wave mixing in laser-cooled Rb87 atoms. When biphotons are nondegenerate, nonsymmetric ph...
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We report the observation of symmetry protected two-photon coherence time of biphotons generated from backward spontaneous four-wave mixing in laser-cooled Rb87 atoms. When biphotons are nondegenerate, nonsymmetric photonic absorption loss results in exponential decay of the temporal waveform of the two-photon joint probability amplitude, leading to shortened coherence time. In contrast, in the case of degenerate biphotons, when both paired photons propagate with the same group velocity and absorption coefficient, the two-photon coherence time, protected by space-time symmetry, remains unaffected by medium absorptive losses. Our experimental results validate these theoretical predictions. This outcome highlights the pivotal role of symmetry in manipulating and controlling photonic quantum states.
6G is envisioned as the next generation of wireless communication technology,promising unprecedented data speeds,ultra-low Latency,and ubiquitous *** tandem with these advancements,blockchain technology is leveraged t...
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6G is envisioned as the next generation of wireless communication technology,promising unprecedented data speeds,ultra-low Latency,and ubiquitous *** tandem with these advancements,blockchain technology is leveraged to enhance computer vision applications’security,trustworthiness,and *** the widespread use of mobile devices equipped with cameras,the ability to capture and recognize Chinese characters in natural scenes has become increasingly *** can facilitate privacy-preserving mechanisms in applications where privacy is paramount,such as facial recognition or personal healthcare *** can control their visual data and grant or revoke access as *** Chinese characters from images can provide convenience in various aspects of people’s ***,traditional Chinese character text recognition methods often need higher accuracy,leading to recognition failures or incorrect character *** contrast,computer vision technologies have significantly improved image recognition *** paper proposed a Secure end-to-end recognition system(SE2ERS)for Chinese characters in natural scenes based on convolutional neural networks(CNN)using 6G *** proposed SE2ERS model uses the Weighted Hyperbolic Curve Cryptograph(WHCC)of the secure data transmission in the 6G network with the blockchain *** data transmission within the computer vision system,with a 6G gradient directional histogram(GDH),is employed for character *** the deployment of WHCC and GDH in the constructed SE2ERS model,secure communication is achieved for the data transmission with the 6G *** proposed SE2ERS compares the performance of traditional Chinese text recognition methods and data transmission environment with 6G *** results demonstrate that SE2ERS achieves an average recognition accuracy of 88%for simple Chinese characters,compared to 81.2%with traditional ***
We present an experimental technique for customizing the spatio-spectral speckled intensity statistics of ultra-short optical pulses at the output of a a disordered multimode fiber by controlling the spatial profile o...
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We present an experimental technique for customizing the spatio-spectral speckled intensity statistics of ultra-short optical pulses at the output of a a disordered multimode fiber by controlling the spatial profile o...
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Quantum computation and optimization have recently garnered considerable attention, with a noticeable focus on their floating-point and arithmetic designs. In classical computing, numerical optimization problems are c...
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