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In the isolated word speech recognition system, the extraction and matching of the characteristic parameters is the key link. This paper introduces a new feature parameter extracting methods on basis of Pulse Coupled Neural Network (PCNN) for the recognition system. By means of the visibility of speech spectrogram, the PCNN is used to extract the time series and entropy series from the spectrogram...
Surface integral equation (SIE) leveraging the analytic homogeneous-medium Green's function is only suitable for investigating piecewise homogeneous objects. In this paper, we demonstrate that by taking advantage of numerical Green's function (NGF), SIE methods can be extended to model arbitrarily inhomogeneous and anisotropic media. In our scheme, NGFs of complicated media are computed with differential...
In VANET, vehicles moving on the highway usually form clusters, and the wireless communications between vehicles are generally conducted by cluster heads. In most cluster-based protocols, however, the cluster head selection carried out through inter-cluster communications has some limitations, e.g., large communication and computation cost, quite complex algorithms, requirement of additional devices...
Urban traffic congestion has become a global phenomenon in recent years, resulting in a great waste of time and fuel. Thus, it is a great challenge for both scientists and engineers to detect the road condition timely and accurately. The technology of vehicular ad-hoc networks (VANETs) applied in intelligent transportation system (ITS) is a new promising approach to alleviate this problem. In this...
Land surface emissivity (LSE) is an essential parameter in deriving land surface temperature form remote sensing data. According to the single channel characteristics of HJ-1B Infrared Scanner (IRS), a combined method for estimating LSE was proposed based on the vegetation cover method and classification-based method. The proposed method requires inputs such as static land cover product, vegetation...
Energy consumption is the most important problem in Wireless sensor networks. In this paper, a new mechanism based on the parallel ant colony algorithm (PACA) is presented for the energy consumption optimization. The mechanism can search the solution space and optimize the route of data transmission to homogenize the energy consumption of the nodes. The algorithm is divided into some parts and can...
Type II diabetes mellitus is characterized by both insulin resistance and β-cell failure. Although patients with type II diabetes mellitus are not initially dependent on insulin, the introduction of insulin therapy becomes one of the most effective methods of attaining good glycemic control. In this work, a proportional-integral-derivative (PID) controller is implemented to maintain normoglycemia...
Feedforward active noise control (ANC) system requires a coherent reference signal. However, in many real-life applications, this reference signal may be unavailable. Feedback ANC systems are promising for such cases. So far, to the best of our knowledge, stochastic analysis of feedback ANC systems has not appeared, and our work is expected to fill in this gap. In this paper, dynamics of a feedback...
Terahertz (THz) emissions of an isolated atom in an ultrashort (100 fs) laser field are simulated by solving the time-dependent Schroumldinger equation. From numerical calculations with one- and three-dimensional hydrogen atom models and a short-range shallow potential model, it can be concluded that continuum THz emissions occur more readily following transitions involving intermediate states above...
The pressure on marine renewable resources has rapidly increased over past decades. The resulting scarcity has led to a variety of different control and surveillance instruments. The dynamics of fish stocks are an important consideration in determining appropriate fishery management policy. Equally crucial are the dynamics of fishing effort. A variety of growth curves have been applied to model both...
In this paper we propose a state space model to predict failed companies based on Kalman filter theory which is creative in the field of finance. A Kalman filter is simply an optimal recursive data processing algorithm which is in the form of a set of equations that allows an estimate to be updated once a new observation becomes available. Given a set of parameters (mainly of financial nature) it...
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