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An extreme learning machine (ELM) is a feedforward neural network (FNN) like learning system whose connections with output neurons are adjustable, while the connections with and within hidden neurons are randomly fixed. Numerous applications have demonstrated the feasibility and high efficiency of ELM-like systems. It has, however, been open if this is true for any general applications. In this two-part...
The objective of this paper is to study recent advancements in estimation lower bound classification results. These lower bounds are estimated for a given set of features, targets, Signal to Noise Ratios (SNRs), and representative clutter environments. The motivation of this work comes from the desire to know the best achievable classification results for a given set of features at a range of SNRs...
String matching plays a key role in web content monitoring systems. Suffix matching algorithms have good time efficiency, and thus are widely used. These algorithms require that all patterns in a set have the same length. When the patterns cannot satisfy this requirement, the leftmost characters, m being the length of the shortest pattern, are extracted to construct the data structure. We call such...
Applying safety behavior science into safety control meets the need of present, and it is the tendency of modern safety management. In this paper, the organization factors (safety climate, safety culture, and organization safety behavior) and individual factors (safety consciousness and safety skill) which affect safety behaviors of staff, the staff safety behavior's intervention methods (goal establishment,...
The paper reports on investigations into the relationship between the channel estimation and the channel effective degree of freedom (EDOF) for a Multiple Input Multiple Output (MIMO) wireless communication system. It is pointed out that both the channel estimation and EDOF, in conjunction with an assumed signal to noise ratio (SNR), affect the MIMO channel capacity. Therefore the two have to be taken...
A perfect punctured binary sequence pairs (PPBSP) circular correlation based channel estimation algorithm for orthogonal frequency division multiplexing (OFDM) is proposed. The original sequence of PPBSP with cyclic prefix (CP) is inserted between OFDM symbols as training sequence. The cross-correlation is calculated between the received sequence with CP removed and the punctured sequence of PPBSP...
Safety in small and medium-sized enterprises is a major problem in China, representing about 70% of serious industrial and trade accidents in 2005. By retrospective analysis of previous related research to safety performance, this paper advanced to assess safety performance in small and medium-sized enterprises by using the dasiainitiativepsila indicators together with dasiapassivepsila indicators...
In this paper, a whitening-rotation (WR)-based semi-blind channel estimation method for a multiple input multiple output (MIMO) wireless communication system is investigated. The relationship between the estimation accuracy and the channel properties is analyzed. It is shown that the channel estimation minimum square error (MSE) of the investigated semi-blind estimation scheme is dependent on the...
This paper reports on investigations into the effects of spatial correlation on channel estimation and capacity of a multiple input multiple output (MIMO) system. Minimum mean square error (MMSE) method is applied for channel estimation under a correlated channel scenario. Simulation results for a 4 times 4 MIMO system with the Jakes model describing a channel between a base station and a mobile station...
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