Earthquakes are one of the most destructive disasters that cause huge damage to structures and human beings. It is not possible to predict the exact location, duration and intensity of an earthquake;however, the proba...
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This paper presents a new method for counterattack detection using estimated camera motion and evaluates some classification methods to detect this event. To this end, video is partitioned to shots and view type of ea...
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The CTCS-3(Chinese Train control System level 3) is an automatic system which is an integrated of advanced control technology, advanced communication technology, advanced computer technology and railway signal technol...
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Plants have responded to abiotic stress and biotic threats with evolutionary adaptations resulting in a variety of plant architectures and cell walls with economically important mechanical properties. Bioacoustic tool...
Plants have responded to abiotic stress and biotic threats with evolutionary adaptations resulting in a variety of plant architectures and cell walls with economically important mechanical properties. Bioacoustic tools have been applied to measure mechanical properties of plant structures, optimize mechanical harvesting, and detect the distribution of root systems, as well as to monitor plant health, photosynthesis, and ecology, and to assess the quality of marketable plant products. In addition, acoustic and vibration sensors are used by entomologists to detect hidden infestations of invasive insect species and to monitor insect movement, feeding, and mating activities on host plants. Reliable identification and interpretation of insect-produced sounds and vibrations on and within plants is complicated by physical processes that filter and distort vibrations as they pass through and reflect from different plant structures and the air. This report considers the use of bioacoustic tools to analyze plant health and structural characteristics, and then discusses how combinations of spectral-, temporal-, and spatial-distribution features of signals detected in plants can be interpreted in ways that properly account for plant structural vibrational filtering and distortion processes and enable reliable assessment of hidden pest infestations, including invasive insect species of importance for plant biosecurity.
To calculate sound wave velocity, we performed the Hsu-Nielsen lead break experiment using the ANSYS/LS-DYNA finite element software. First, we identified the key problems in the finite element analysis, such as selec...
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作者：
Bai, Er-WeiZhao, WenxiaoZheng, Wei XingUniversity of Iowa
Department of Electrical and Computer Engineering Iowa52242 United States School of Electronics
Electrical Engineering and Computer Science Queens University Belfast United Kingdom Key Laboratory of Systems and Control
Academy of Mathematics and Systems Science National Center for Mathematics and Interdisciplinary Sciences Chinese Academy of Sciences Queens University Beijing China School of Computing
Engineering and Mathematics University of Western Sydney Chinese Academy of Sciences PenrithNSW2751 Australia
The problem of variable selection in system identification of a high dimensional nonlinear non-parametric system is described. The inherent difficulty, the curse of dimensionality, is introduced. Some recent results o...
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Imaging and manipulating objects down to the molecular level plays a crucial role in many disciplines. It allows to unravel molecular phenomena, to form materials with new chemical and physical properties, or to build...
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ISBN:
(纸本)9781467386838
Imaging and manipulating objects down to the molecular level plays a crucial role in many disciplines. It allows to unravel molecular phenomena, to form materials with new chemical and physical properties, or to build objects on an atomic scale. Science on the nanoscale is inherently interdisciplinary. It requires knowledge and insight into many fields, spanning from modeling, measuring, imaging, actuation to control. Often feedback control facilitates operation with molecular precision, despite the fact that many physical phenomena at the molecular level are still not well understood, and that stochastic and nonlinear effects are inherently present. This work provides an insight into some of the current control related research activities on a molecular scale. This is done considering examples from different fields: control related to scanning probe microscopy such as atomic force microscopy, controlled self assembly on a molecular scale, control aspects of molecular transport, and the use of control for manipulation of single molecules using macroscopic probe tips. The hope is that control related researchers, who are not experts in these fields, become aware of the opportunities present, which could also drive new theoretical developments.
Highly integrated neural sensing microsystems are crucial to capture accurate signals for brain function investigations. In this paper, a 256-channel/25 mm2 neural sensing microsystem is presented based on through-sil...
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ISBN:
(纸本)9781479953424
Highly integrated neural sensing microsystems are crucial to capture accurate signals for brain function investigations. In this paper, a 256-channel/25 mm2 neural sensing microsystem is presented based on through-silicon-via (TSV) 2.5D integration. This microsystem composes of dissolvable μ-needles, TSV-embedded μ-probes, 256-channel neural amplifiers, 11-bit area-power-efficient SAR ADCs and serializers. Based on the dissolvable μ-needles and TSV 2.5D integration, this microsystem can detect 256 ECoG/LFP signals within the small area of 5mm × 5mm. Additionally, the neural amplifier realizes 57.8dB gain with only 9.8μW for each channel, and the 9.7-bit ENOB of the SAR ADC at 32kS/s can be achieved with 0.42μW and 0.036 mm2. The overall power of this microsystem is only 3.79mW for 256-channel neural sensing.
This article discusses the notion of context transfer in reinforcement learning tasks. Context transfer, as defined in this article, implies knowledge transfer between tasks that share the same environment's dynam...
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In this paper, sliding mode approach is used to deal with the robust control of flat systems. Model of flat systems with disturbance and parametric uncertainty is established. A scheme to design sliding mode control l...
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ISBN:
(纸本)9781467386838
In this paper, sliding mode approach is used to deal with the robust control of flat systems. Model of flat systems with disturbance and parametric uncertainty is established. A scheme to design sliding mode control laws is proposed to guarantee the robustness of the systems. For the case that the bounds of disturbance and parametric uncertainty are unknown, adaptive controllers are designed to estimate the bounds or unknown parameters. The stability is proved with Lyapunov method. Simulations of a magnetic levitation system are given to illustrate the effectiveness of the approach.
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