A low-cost device using acoustic method for measuring open-end tube length is developed. The proposed device is aimed to get the length of the tubes which are piled up together, and only one end of which is available ...
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It is necessary to study the radiation characteristic of metal solid objects for millimeter wave passive guidance. On basis of discussing the grounded theory, the antenna temperature contrast formula of metal solid ob...
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Optical Music Recognition(OMR) has received increasing attention in recent *** this paper,we adopt the descriptor of Locality-constrained Linear Coding(LLC) and Double Distribution Support Vector Machine(DDSVM) ...
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ISBN:
(纸本)9781509051861;9781509051854
Optical Music Recognition(OMR) has received increasing attention in recent *** this paper,we adopt the descriptor of Locality-constrained Linear Coding(LLC) and Double Distribution Support Vector Machine(DDSVM) to address music symbol classification in *** can obtain stronger feature representation ability compared with original music ***,DDSVM is presented to obtain stronger robustness and generalization ***,DDSVM is adopted to improve the classification performance in ***,One Versus Rest Double Distribution Support Vector Machine(OVR-DDSVM) is proposed for multi-class music symbol ***-DDSVM can obtain high accuracy only using linear kernel due to LLC descriptor,and this speeds the classification ***-DDSVM is tested on more than10000 music symbol images of 20 classes,and experimental results verify the superiority of LLC+DDSVM to other algorithms.
The complexity of coupled risks, which refer to the compounded effects of interacting uncertainties across multiple interdependent objectives, is inherent to cities functioning as dynamic, interdependent systems. A di...
The complexity of coupled risks, which refer to the compounded effects of interacting uncertainties across multiple interdependent objectives, is inherent to cities functioning as dynamic, interdependent systems. A disruption in one domain ripples across various urban systems, often with unforeseen consequences. Central to this complexity are people, whose behaviors, needs, and vulnerabilities shape risk evolution and response effectiveness. Realizing cities as complex systems centered on human needs and behaviors is essential to understanding the complexities of coupled urban risks. This paper adopts a complex systems perspective to examine the intricacies of coupled urban risks, emphasizing the critical role of human decisions and behavior in shaping these dynamics. We focus on two key dimensions: cascading hazards in urban environments and cascading failures across interdependent exposed systems in cities. Existing risk assessment models often fail to capture the complexity of these processes, particularly when factoring in human decision-making. To tackle these challenges, we advocate for a standardized taxonomy of cascading hazards, urban components, and their interactions. At its core is a people-centric perspective, emphasizing the bidirectional interactions between people and the systems that serve them. Building on this foundation, we argue the need for an integrated, people-centric risk assessment framework that evaluates event impacts in relation to the hierarchical needs of people and incorporates their preparedness and response capacities. By leveraging real-time data, advanced simulations, and innovative validation methods, this framework aims to enhance the accuracy of coupled urban risk modeling. To effectively manage coupled urban risks, cities can draw from proven strategies in real complex systems. However, given the escalating uncertainties and complexities associated with climate change, prioritizing people-centric strategies is crucial. This ap
This paper proposes a improved non-local means (NLM) filter for image denoising. Due to the drawback that the similarity is computed based on the noisy image, the traditional NLM method easily generates the artifacts ...
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A novel reconfigurable hardware system which uses both muhi-DSP and FPGA to attain high performance and real-time imageprocessing are presented. The system structure and working principle of mainly processing multi-B...
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A novel reconfigurable hardware system which uses both muhi-DSP and FPGA to attain high performance and real-time imageprocessing are presented. The system structure and working principle of mainly processing multi-BSP board, extended multi-DSP board are analysed. The outstanding advantage is that the communication among different board components of this system is supported by high speed link ports & serial ports for increasing the system performance and computational power. Then the implementation of embedded real-time operating systems (RTOS) by us is discussed in detail. In this system, we adopt two kinds of parallel structures controlled by RTOS for parallel processing of algorithms. The experimental results show that exploitive period of the system is short, and maintenance convenient. Thus it is suitable for real-time imageprocessing and can get satisfactory effect of image recognition.
Joint flexibility is an important factor to consider in the robot control design if high performance is expected for the robot manipulators. In this paper, we propose an adaptive tracking control method which can deal...
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This paper studies the synchronization problem of coupled delayed multistable neural networks (NNs) with directed topology. To begin with, several sufficient conditions are developed in terms of algebraic inequalities...
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Locating the characters accurately is the primary and critical step of the billet characters recognition. To some ingredients of billet images in the production line, such as bad scene, complex illumination, high nois...
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This paper develops a method to learn very few discriminative part detectors from training videos directly, for action recognition. We hold the opinion that being discriminative to action classification is of primary ...
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