Wireless Personal Communications - This paper presents a novel speech enhancement approach by combining Fourier series expansion and spectral subtraction. This approach is implemented in speaker... 相似文献
Many systems used in buildings for heating, ventilating, and air-conditioning waste energy because of the way they are operated or controlled. This paper explores the application of model predictive control (MPC) to air-conditioning units and demonstrates that the closed-loop performance and energy efficiency can be improved over conventional approaches. This work focuses on the problem of controlling the vapor compression cycle (VCC) in an air-conditioning system, containing refrigerant which is used to provide cooling. The VCC considered in this work has two manipulated variables that affect operation: compressor speed and the position of an electronic expansion valve. The system is subject to constraints, such as the range of permissible superheat, and also needs to regulate temperature variables to set points. An MPC strategy is developed for this type of system based on linear models identified from data obtained from a first-principles model of the VCC. The MPC strategy incorporates economic measures in the objective function as well as control objectives. Tests are carried out on a simulated VCC system that is linked to a simulation of a realistic building that is developed in the U.S. Department of Energy Computer Simulation Program, EnergyPlus. The MPC demonstrated significantly better tracking control relative to conventional approaches (a reduction of 70% in terms of the integral of squared error for step changes in the temperature set-point), while reducing the VCC energy requirements by 16%. The paper describes the control approach in detail and presents results from the tests. 相似文献
Multimedia Tools and Applications - One of the known problems in security systems is to identify persons based on certain signatures. Biometrics have been adopted in security systems to identify... 相似文献
This paper presents a case study of hydrocarbon piping made of ASTM A376 TP321 stainless steel. The feedstock was of a two-phase flow hydrocarbon with small amount of sulfur. The pipe was found to be leaked at the weldment after 8 years of service. A combination of techniques including visual inspection, emission spectroscopy, radioscopy, scanning electron microscopy, and optical microscopy was applied to identify the possible cause of failure. The results showed that the cracks originated at the external wall of the pipe and were a consequence of synergy of fatigue loading during service due to improper piping support and stress concentrations as a result of the welding process. Deformation twinning and strain hardening may also contribute to the failure. According to failure and stress analysis done in this work, it is recommended that careful control of cyclic loading must be improved by, for example, implementation of a better spring constant for piping support system. In addition, a process for stress raiser-free welded structure should be of concern to achieve complete failure prevention in the future. 相似文献
Transmission power control (TPC) is used in wireless networks to improve channel reuse and/or reduce energy consumption. It
has been often applied to single-input single-output (SISO) systems, where each node is equipped with a single antenna. Multi-input
multi-output (MIMO) systems can improve the throughput or the signal-to-noise ratio (SNR) by providing multiplexing or diversity
gains, respectively. In this paper, we incorporate a power-controlled MAC protocol for a wireless network with two antennas
per node. Our protocol, coined CMAC, combines different types of MIMO gains, allowing for dynamic switching between diversity
and multiplexing modes so as to maximize a utility function that depends on both energy consumption and throughput. CMAC adapts
the “antenna mode,” the transmission power, and the modulation order on a per-packet basis. By “antenna mode” we mean one
of five possible transmit/receive antenna configurations: 1 × 1 (SISO), 2 × 1 (MISO-D), 1 × 2 (SIMO-D), 2 × 2 (MIMO-D), and
2 × 2 (MIMO-M). The second, third, and fourth configurations offer a diversity gain, whereas the last configuration offers
a multiplexing gain. By using control packets to bound the transmission power of potentially interfering terminals, CMAC allows for multiple interference-limited transmissions
to take place in the vicinity of a receiving terminal. We study via simulations the performance of CMAC in ad hoc topologies.
Our results indicate that relative to non-adaptive protocols, CMAC achieves a significant improvement in both the overall
energy consumption and the throughput.
Marwan KrunzEmail:
Mohammad Z. Siam
is a Ph.D. student and a research assistant in the Department of Electrical and Computer Engineering at The University of
Arizona, Arizona, USA. He received the B.Sc. and M.Sc. degrees in Electrical Engineering from Jordan University of Science
and Technology, Jordan in 2002 and 2004, respectively. His current research interests are in system architecture and communication
protocols for wireless networks with emphasis on power control for MIMO-based networks. M. Siam is a member of the IEEE and
the ACM.
Marwan Krunz
is a professor in the Department of Electrical and Computer Engineering at the University of Arizona and the co-director of
Connection One, a joint NSF/state/industry IUCRC cooperative research center. He received the Ph.D. degree in Electrical Engineering
from Michigan State University in 1995. From 1995 to 1997 he was a postdoctoral research associate with the Department of
Computer Science, University of Maryland, College Park. He also held visiting research positions at INRIA, Sophia Antipolis,
France; HP Labs, Palo Alto; and US West Advanced Technologies, Boulder, Colorado. His recent research interests include medium
access and routing protocols for mobile ad hoc networks, quality of service provisioning over wireless links, constraint-based
routing, WWW traffic modelling, and media streaming. He has published more than 140 journal articles and refereed conference
papers in these areas. He received the National Science Foundation CAREER Award (1998–2002). He currently serves on the editorial
board for the IEEE/ACM Transactions on Networking and the Computer Communications Journal. He was a guest co-editor for special
issues in IEEE Micro and IEEE Communications Magazines. He served as the technical program co-chair for the IEEE INFOCOM 2004
Conference and the 2001 Hot Interconnects Symposium (Stanford University, August 2001). He has served and continues to serve
on the executive and technical program committees of several international conferences. He consults for a number of corporations
in the telecommunications industry. M. Krunz is a senior member of the IEEE and a member of the ACM.
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This paper investigates the problem of simultaneous approximation of a prescribed multidimensional frequency response. The frequency responses of multidimensional IIR digital filters are used as nonlinear approximating functions. Chebyshev approximation theory and the notion of line homotopy are used to reveal the approximation properties of this set of IIR functions. A sign condition is derived to characterize a convex stable domain in this set. This sign condition can be incorporated into the optimization of the Chebyshev simultaneous approximation. The generally sufficient global Kolmogorov criterion is shown to be a necessary condition, for the characterization of best approximation, in the considered set of approximating functions. Thus, it can be incorporated, as a stopping constraint, in the design of the optimal filter. Moreover, the local Kolmogorov criterion is shown to be also necessary for the set of approximating functions. Finally, it is proved that the best approximation is a global minimum.
Multi-input multi-output (MIMO) is a well-established technique for increasing the link throughput, extending the transmission range, and/or reducing energy consumption. In the context of wireless sensor networks (WSNs), even if each node is equipped with a single antenna, it is possible to group several nodes to form a virtual antenna array, which can act as the transmitting or receiving end of a virtual MIMO (VMIMO) link. In this paper, we propose energy-efficient clustering and power management schemes for virtual MIMO operation in a multi-hop WSN. Our schemes are integrated into a comprehensive protocol, called cooperative MIMO (CMIMO), which involves clustering the WSN into several clusters, each managed by up to two cluster heads (CHs); a master CH (MCH) and a slave CH (SCH). The MCH and SCH collect data from their cluster members during the intra-cluster communications phase and communicate these data to neighboring MCHs/SCHs via an inter-cluster VMIMO link. CMIMO achieves energy efficiency by proper selection of the MCHs and SCHs, adaptation of the antenna elements and powers in the inter-cluster communications phase, and using a cross-layer MIMO-aware route selection algorithm for multi-hop operation. We formally establish the conditions on the transmission powers of CHs and non-CHs that ensure the connectivity of the inter-cluster topology. Simulations are used to study the performance of CMIMO. The simulation results indicate that our proposed protocol achieves significant reduction in energy consumption and longer network life time, compared with non-adaptive clustered WSNs. 相似文献