Perovskite solar cells(PSCs)emerging as a promising photovoltaic technology with high efficiency and low manufacturing cost have attracted the attention from all over the *** the efficiency and stability of PSCs have ...
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Perovskite solar cells(PSCs)emerging as a promising photovoltaic technology with high efficiency and low manufacturing cost have attracted the attention from all over the *** the efficiency and stability of PSCs have increased steadily in recent years,and the research on reducing lead leakage and developing eco-friendly lead-free perovskites pushes forward the commercialization of PSCs step by *** review summarizes the main progress of PSCs in 2020 and 2021 from the aspects of efficiency,stability,perovskite-based tandem devices,and lead-free ***,a brief discussion on the development of PSC modules and its challenges toward practical application is provided.
Accurate detection of dissolved furfural in transformer oil is one of the keys to judge the aging degree of oil paper insulation equipment. As a non-contact and nondestructive testing method, Raman spectroscopy not on...
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Considering the hierarchical scheduling characteristics of the compressor station and natural gas network under practical operating conditions, this paper proposes a two-stage hierarchical station-network scheduling m...
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Considering the hierarchical scheduling characteristics of the compressor station and natural gas network under practical operating conditions, this paper proposes a two-stage hierarchical station-network scheduling mechanism. The proposed mechanism is based on a refined compressor station model, which regards the dispatching center of the natural gas system as the decision-maker of superior scheduling and the control center of the compressor station as the decision-maker of subordinate scheduling. The effectiveness of the proposed mechanism is demonstrated by a 7-node natural gas system.
We investigate the implementation of enumerative sphere shaping (ESS) algorithm in real-time PS-64QAM system for the first time. Experiments achieved 0.08dB/0.02dB SNR gain under strong/weak shaping situation with muc...
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ISBN:
(数字)9781957171050
ISBN:
(纸本)9781665466660
We investigate the implementation of enumerative sphere shaping (ESS) algorithm in real-time PS-64QAM system for the first time. Experiments achieved 0.08dB/0.02dB SNR gain under strong/weak shaping situation with much larger power consumption compared with HiDM.
In the elelctricity market, electricity price plays an important economic leverage role in guiding the optimal allocation of resources, so a reasonable electricity price mechanism is the cornerstone of the success of ...
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In the elelctricity market, electricity price plays an important economic leverage role in guiding the optimal allocation of resources, so a reasonable electricity price mechanism is the cornerstone of the success of the power market, and judging the rationality of the electricity price mechanism requires a profound understanding of the formation of electricity price. In this paper, firstly, the economic concept of market clearing price (MCP) is used to uniformly explain several electricity price mechanisms in the market, and then the most common locational marginal price (LMP) is analyzed with the example of two buss. It is pointed out that one bus represents one power market in essence; Then, for more complex systems, the method of modeling and solving is adopted, which mainly adopts a set of modeling ideas of optimal power flow and uses Lagrange multiplier method combined with Karush-Kuhn-Tucker (KKT) optimality condition to solve the model to obtain the components of LMP, and also analyzes the physical meaning of each component in combination with the specific power system; Finally, the correctness of the theory is verified by a PJM 5-bus system.
Based on thermal maps of vehicle flow rates, this paper studies the optimizing method of charging stations' capacity and location sets, to determining the classification information of the layout of the charging s...
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Zero-Shot Object Navigation (ZSON) requires agents to autonomously locate and approach unseen objects in unfamiliar environments and has emerged as a particularly challenging task within the domain of Embodied AI. Exi...
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Face anti-spoofing (FAS) is pivotal in safeguarding the integrity of face recognition systems. Flexible-modal FAS utilizes multi-modal data and trains a unified model adaptable to any single-modal testing scenario. Th...
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ISBN:
(数字)9798350364132
ISBN:
(纸本)9798350364149
Face anti-spoofing (FAS) is pivotal in safeguarding the integrity of face recognition systems. Flexible-modal FAS utilizes multi-modal data and trains a unified model adaptable to any single-modal testing scenario. This innovation addresses the shortcomings of conventional multi-modal FAS approaches, which typically demand separate model training and deployment for each modality. However, existing flexible-modal FAS approaches activate specific network branches based on the modality of the tested sample. This not only increases the model’s parameters but also necessitates the provision of the image’s modality for testing, thereby constraining deployment flexibility. To address the issue, we present Compound Prompt Learning CLIP (CPL-CLIP), a novel method for flexible-modal FAS. This approach capitalizes on a learned textual prompt that is nearly independent of modality, thus bolstering class-based classification across arbitrary modalities. Specifically, our CPL-CLIP introduces a Dual-Branch Prompt (DBP), consisting of class and modal prompts that describe and guide classification, where each prompt is composed of learnable vectors and fixed templates. To further render the class prompt as modality-agnostic as possible, a Cosine Similarity Loss (CSL) is proposed to facilitate the maximal separation of the class prompt from the modality prompt. With only the class prompt utilized during testing, CPL-CLIP enables deployment in diverse modal testing scenarios without the necessity of the test image’s modality to be known. Extensive experiments demonstrate CPL-CLIP’s superiority over existing methods on several flexible-modal FAS benchmarks.
Current timestamp-supervised temporal action segmentation (TS-TAS) methods typically follow a two-phase pipeline: initializing the model with timestamp labels and refining it with pseudo-labels. However, limited by th...
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Sensing is the fundamental technique for sensor data acquisition in monitoring the operation condition of the machinery,structures,and manufacturing *** this paper,we briefly discuss the general idea and advances of v...
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Sensing is the fundamental technique for sensor data acquisition in monitoring the operation condition of the machinery,structures,and manufacturing *** this paper,we briefly discuss the general idea and advances of various new sensing technologies,including multiphysics sensing,smart materials and metamaterials sensing,microwave sensing,fiber optic sensors,and terahertz sensing,for measuring vibration,deformation,strain,acoustics,temperature,spectroscopic,*** on the observations from the state of the art,we provide comprehensive discussions on the possible opportunities and challenges of these new sensing technologies so as to steer future development.
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