1,724,117 research outputs found
Nomenclatural changes in Rubus (Rosaceae) mostly from China
No full textWANG, HUAN-CHONG, WANG, YUE-HUA, SUN, HANG (2013): Nomenclatural changes in Rubus (Rosaceae) mostly from China. Phytotaxa 114 (1): 58-60, DOI: 10.11646/phytotaxa.114.1.6, URL: http://dx.doi.org/10.11646/phytotaxa.114.1.
FIGURE 2 in New species of Phrynocephalus (Squamata, Agamidae) from Qinghai, Northwest China
No full textFIGURE 2. Frequency distributions of adult SVL of two species of toad-headed lizards, P. guinanensis sp. nov. (from Senduo, Guinan County) and P. vlangalii (from Daotanghe, Gonghe County).Published as part of Ji, Xiang, Wang, Yue-Zhao & Wang, Zheng, 2009, New species of Phrynocephalus (Squamata, Agamidae) from Qinghai, Northwest China, pp. 61-68 in Zootaxa 1988 on page 64, DOI: 10.5281/zenodo.18551
Dryopteris sukungiana (Dryopteridaceae), a new species of the D. sparsa complex from Southwest China
No full textZuo, Zheng-Yu, Lu, Jin-Mei, Wang, Yue-Hua, Li, De-Zhu (2022): Dryopteris sukungiana (Dryopteridaceae), a new species of the D. sparsa complex from Southwest China. Phytotaxa 533 (5): 256-266, DOI: 10.11646/phytotaxa.533.5.
A true digital feedforward active noise control system with no analog-to-digital and digital-to-analog converters
No full textAn active noise control (ANC) system emits sound waves to attenuate noise. With constraints on cost and size, the ANC system often outperforms passive noise control (PNC) mea-sures when the noise frequency is low. Electro-acoustic devices, such as microphones and loudspeakers, are conventionally used in AN C systems. They convert sound pressure with different volt-ages. The analog-to-digital and digital-to-analog converters have to be connected to the digital controller in the AN C system with electro-acoustic devices. With the development of digital acoustic devices, sound pressure can be converted straightforwardly into and from the digital signal in the format of pulse density modulation (PDM), which is also known as the 1-bit quantized signal. Incorporating with the digital acoustic devices, this paper proposes a true digital ANC system design that has no analog-to-digital (AD) and digital-to-analog (DA) converters. Specifically, the feedforward filtered reference least mean square (LMS) algorithm with online secondary path modeling is implemented in a newly proposed systolic structure on the FPG A, where the digital acoustic devices are connected directly to the FPG A I/O pins
Quattro: transformer-accelerated iterative linear quadratic regulator framework for fast trajectory optimization
No full textReal-time optimal control remains a fundamental challenge in robotics, especially for nonlinear systems with stringent performance requirements. As one of the representative trajectory optimization algorithms, the iterative Linear Quadratic Regulator (iLQR) faces limitations due to its inherently sequential computational nature, which restricts the efficiency and applicability of real-time control for robotic systems. While existing parallel implementations aim to overcome the above limitations, they typically demand additional computational iterations and high-performance hardware, leading to only modest practical improvements. In this paper, we introduce Quattro, a transformer-accelerated iLQR framework employing an algorithm-hardware co-design strategy to predict intermediate feedback and feedforward matrices. It facilitates effective parallel computations on resource-constrained devices without sacrificing accuracy. Experiments on cart-pole and quadrotor systems show an algorithm-level acceleration of up to 5.3 X times and 27 X times per iteration, respectively. When integrated into a Model Predictive Control (MPC) framework, Quattro achieves overall speedups of 2.8 X times for the cart-pole and 17.8 X times for the quadrotor compared to the one that applies traditional iLQR. Transformer inference is deployed on FPGA to maximize performance, achieving further up to 20.8 X times speedup over prevalent embedded CPUs with over 11 X times power reduction than GPU and low hardware resource overhead
F0-estimation-based primary ambient extraction for stereo signals
No full textPrimary-ambient extraction (PAE) plays an increasingly important role in spatial audio reproduction to achieve an immersive listening experience. The existing PAE algorithms produce notable extraction errors, especially when the primary components are relatively small in magnitude as compared to the ambient components. In this paper, an F0-estimation-based PAE method is proposed. This method explores harmonic structures of the primary components to tap the full potential and utilize the sparsity constraint. The experiment results validate that the F0-estimation-based PAE method achieves 5 dB lower extraction errors than the principal component analysis (PCA) method and the ambient phase estimation with a sparsity constraint (APES) method
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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