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Bioelectrical impedance technology is considered to be a noninvasive method of measuring heart function. Feature points extraction of impedance cardiography (ICG) signal is vital to cardiovascular disease diagnosis, and feature points extraction has curative value after operation. In this paper, the new algorithm combined with the wavelet technology to extract feature points accurately. Feature points...
With the development of wireless networks, the scale of network optimization problems is growing correspondingly. While algorithms have been designed to reduce complexity in solving these problems under given size, the approach of directly reducing the size of problem has not received much attention. This motivates us to investigate an innovative approach to reduce problem scale while maintaining...
In vehicular ad hoc networks (VANETs), the IEEE 802.11p is a popular and standardized protocol for communications among vehicles and infrastructure (e.g., roadside units). However, because of a limited communication range and the randomly access nature of the carrier sense multiple access with collision avoidance (CSMA/CA) mechanism, the end-to-end delay could be high due to both store-and-catch-up...
In large areas of corn, the lane line planning and navigation within the crop rows play a crucial supporting role in intelligent farm machinery operations such as spraying, weeding and testing. Vehicle navigation is mostly by GPS and radar. These two kinds of navigation can't complete the information needed for crop inter-row navigation line segments. Such precision navigation and obstacle avoidance...
We study how to achieve optimal network capacity in the most energy-efficient manner over a general large-scale wireless network, say, a multi-hop multi-radio multi-channel (MR-MC) network. We develop a multi-objective optimization framework for computing the resource allocation that leads to optimal network capacity with minimal energy consumption. Our framework is based on a linear programming multi-commodity...
Multi-radio multi-channel (MR-MC) networks as a promising technique to enhance the capacity of wireless networks have received a lot of attentions recently. While most of the existing studies focus on capacity optimization, energy-efficient resource allocation for MR-MC networks is an emerging area yet to be exploited. In this paper, we develop an optimization framework for energy-aware optimal resource...
CAPTCHA is a standard security technology that presents test to tell computers and humans apart. Nowadays the most widely deployed CAPTCHAs are text-based schemes, which rely on sophisticated distortion of text images aimed at rendering them unrecognizable to the state of the art of pattern recognition methods. Generally, the skeletonization of character is acknowledged as one of the most significant...
In this paper, we consider the weighted sum throughput maximization (WSTM) problem of multicell network with full spectral reuse. The WSTM problem is a nonconvex combinatorial problem, and difficult to tackle in practice. Thus, we present and discuss three low-complexity suboptimal algorithms, which solve the WSTM problem via joint user scheduling and power control (USPC) among a set of coordinating...
For non-contiguous OFDM (NC-OFDM) based cognitive radio (CR) systems, one of huge challenges is to establish spectrum synchronization before data transmissions. In this paper, we propose a novel active subchannel detection scheme for the NC-OFDM receiver without out-of-band spectrum synchronization information. The key idea of the proposed scheme is to employ the received training symbol to calculate...
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