We present beam measurements of the CHIME telescope using a radio calibration source deployed on a drone payload. During test flights, the pulsing calibration source and the telescope were synchronized to GPS time, en...
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This paper presents optimal control of a five-phase Integrated Modular Permanent Magnet Motor for normal and open-circuit fault conditions. Finite element analysis of the motor is carried out to obtain output torque o...
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This paper proposes a distributed real-time state estimation(RTSE)method for the combined heat and power systems(CHPSs).First,a difference-based model for the heat system is established considering the dynamics of hea...
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This paper proposes a distributed real-time state estimation(RTSE)method for the combined heat and power systems(CHPSs).First,a difference-based model for the heat system is established considering the dynamics of heat *** heat system model is further used along with the power system steady-state model for holistic CHPS state estimation.A cubature Kalman filter(CKF)-based RTSE is developed to deal with the system nonlinearity while integrating both the historical and present measurement ***,a multi-timescale asynchronous distributed computation scheme is designed to enhance the scalability of the proposed method for largescale *** distributed implementation requires only a small amount of information exchange and thus protects the privacy of different energy *** carried out on two CHPSs show that the proposed method can significantly improve the estimation efficiency of CHPS without loss of accuracy compared with other existing models and methods.
Depth estimation plays a significant role in computer vision field. It helps comprehending the 3D characteristics of an object and the surroundings. For the depth estimation that uses stereo cues and multiple images, ...
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ISBN:
(纸本)9781538620359
Depth estimation plays a significant role in computer vision field. It helps comprehending the 3D characteristics of an object and the surroundings. For the depth estimation that uses stereo cues and multiple images, the local information of object suffices. While for the monocular cues, both global and local information are needed to estimate the depth of object. The relationship between the features of object and depth is highly non-linear and great uncertainty happens when the target object is deformed. In this paper, we present a new method that estimates the depth of the object by constructing a multi-layer neural network. By entering to the multi-layer neural network a group of key-points characteristics extracted from the target object and comparing the output with the point cloud data which is obtained by a Kinect, we get the trained multi-layer neural network that has the ability to estimate the depth. A feature extractor is designed by combining SIFT and RANSAC to extract the key-points that distribute in most part of the object which is necessary for establishing the correspondence between the model image and the image to be detected. Experiments were conducted to demonstrate the validity and stability of our method.
Cooperative cognitive radio networks (CCRNs) enable secondary users (SUs) to access primary resource by cooperation with active primary users (PUs). For the cooperation-generated resource, existing schemes in CCRNs al...
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Tunneling phenomena can be used to realize devices with unique IT-V characteristics (negative differential resistance) which can be employed to design various types of digital circuits with a significantly lower numbe...
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Tunneling phenomena can be used to realize devices with unique IT-V characteristics (negative differential resistance) which can be employed to design various types of digital circuits with a significantly lower number of transistors, extremely fast switching speeds, very low power consumption and pipelining capability at the basic gate level (nanopipelining) which results in higher system throughput. In this article, we will present the basic properties of various types of devices which have been proposed for these applications including resonant tunneling diodes (RTDs), Esaki tunnel diodes (ETDs), and various types of transistors including resonant hot electron transistors (RHETs) and tuaneling bipolar transistors (TBTs). We will also compare the anticipated performance of various types of logic gates and digital circuit implementations utilizing these devices with conventional CMOS circuits. (C) 1997 Elsevier Science Ltd.
This paper reviews the basic concept of the frequency-domain TLM method. Various formulations for the frequency-domain nodes are derived from the symmetrical condensed node. It will be shown that different node repres...
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This paper reviews the basic concept of the frequency-domain TLM method. Various formulations for the frequency-domain nodes are derived from the symmetrical condensed node. It will be shown that different node representations lead to different dispersion errors which in turn will have a direct effect on the computational accuracy. The flexibility and potential of the FDTLM method will be discussed and a wide range of applications will illustrate the usefullness of this approach.
Color center platforms have been at the forefront of quantum nanophotonics for applications in quantum networking, computing, and sensing. However, large-scale deployment of this technology has been stifled by a lack ...
Color center platforms have been at the forefront of quantum nanophotonics for applications in quantum networking, computing, and sensing. However, large-scale deployment of this technology has been stifled by a lack of ability to integrate photonic devices at scale while maintaining the properties of quantum emitters. We address this challenge in silicon carbide, which has both commercially available wafer-scale substrates and is a host to color centers with desirable optical and spin properties. Using ion beam etching at an angle, we develop a 5-inch wafer process for the fabrication of triangular cross-section photonic devices in bulk 4H-SiC. The developed process has a variability in etch rate and etch angle of 5.4% and 2.9%, respectively. Furthermore, the integrated color centers maintain their optical properties after the etch, thus achieving the nanofabrication goal of wafer-scale nanofabrication in quantum-grade silicon carbide.
In a paper published in 1984 [Ferr84], the validity of applying clustering techniques to the design of an executable model for an interactive workload was discussed. The following assumptions, intended not to be neces...
ISBN:
(纸本)0897911695
In a paper published in 1984 [Ferr84], the validity of applying clustering techniques to the design of an executable model for an interactive workload was discussed. The following assumptions, intended not to be necessarily realistic but to provide sufficient conditions for the applicability of clustering techniques, were made:The system whose workload is to be modeled is an interactive system, and its performance can be accurately evaluated by solving a product-form closed queueing network *** behavior of each interactive user can be adequately modeled by a probabilistic graph (called a user behavior graph); in such a graph, each node represents an interactive command type, and the duration of a user's stay in the node probabilistically equals the time the user spends typing in a command of that type, waiting for the system's response, and thinking about what command should be input *** interactive workload to be modeled is stationary, and the workload model to be constructed is intended to reproduce its global characteristics (not those of some brief excerpt from it exhibiting peculiar dynamics), hence to be stationary as *** was shown in [Ferr84] that, under these assumptions, clustering command types having the same probabilistic resource demands does not affect the values of the performance indices the evaluators are usually interested in, provided the visit ratio to each node in the reduced (i.e., post-clustering) user behavior graph is equal to the sum of the visit ratios the cluster's components had in the original *** the reduction we have just described is equivalent to replacing each cluster with one or more representatives of its components, and since this is also the goal of applying clustering techniques to the construction of executable workload models substantially more compact than the original workload to be modeled, this result shows that such techniques are valid (i.e., produce accurate models) when the assumptions and the
Advances in VLSI technology have reduced circuit dimensions and improved processor performance dramatically, yet these advances are offset by an increased vulnerability of soft error, which are caused by alpha particl...
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