This paper presents a speaker identification algorithm using the deep neural network (DNN) as the classifier to learn the features of the voiceprints represented by spectrogram. The collected speech signals are pre-emphasized, windowed, divided into some chunks, then calculated to obtain the magnitude of the frequency spectrum, which creates the spectrograms. The […]
Tag Archives : Ns2 simulator
A SiGe BiCMOS power amplifier (PA) with a switchable output matching network (OMN) is designed and measured. A MOS switch is incorporated in the OMN of the PA. According to the state of the switch, the proposed PA can be operated in either the high-power (HP) or low-power (LP) modes. In the […]
SiGe BiCMOS power amplifier with a switchable output matching network for efficiency enhancement
This paper introduces an event-driven feedforward categorization system, which takes data from a temporal contrast address event representation (AER) sensor. The proposed system extracts bio-inspired cortex-like features and discriminates different patterns using an AER based tempotron classifier (a network of leaky integrate-and-fire spiking neurons). One of the system’s most appealing characteristics is […]
Feedforward Categorization on AER Motion Events Using Cortex-Like Features in a Spiking Neural Network
This paper presents an energy management approach for a hybrid energy system comprised of a photovoltaic (PV) array and a polymer electrolyte membrane fuel cell (PEMFC). A single storage device, i.e., a Li-ion battery module, is used in the proposed structure. Linear proportional-integral (PI) and nonlinear flatness-based controllers for dc […]
DC Bus Stabilization of Li-Ion Battery Based Energy Storage for a Hydrogen/Solar Power Plant for Autonomous Network Applications
Based on the fact that the rolling bearing fault vibration signals are susceptible to Gauss noise, a fault diagnosis of rolling bearing method using higher-order cumulants and back propagation (BP) neuralnetwork is proposed. In this paper, the higher-order statistics of the vibration signals are calculated as feature vectors, including the third-order […]
Rolling bearing fault diagnosis based on higher-order cumulants and BP neural network
In this paper, the complete synchronizations for asynchronous switched Boolean network with free Boolean sequence controllers and close-loop controllers are studied. First, the basic asynchronous switched Boolean network model is provided. With the method of semi-tensor product, the Boolean dynamics is translated into linear representation. Second, necessary and sufficient conditions for ASBN synchronization with […]
Synchronization of asynchronous switched Boolean network
The Internet is radically changing the field of networking. A wide variety of technologies, protocols and internetworking techniques are now available and continuously changing with the rapid developments in the Internet scenario. For example, whereas ATM was heretofore viewed as the solution for allnetworking problems, today increasingly there is a debate whether […]
An overview of off-the-shelf tools and their applications to telecom and enterprise networking
Rational approximation of frequency-dependent network equivalents with vector fitting (VF) is widely used in power system analysis; however, a detailed examination of methods to determine the order of the model has not been reported. The traditional order identification method of the frequency response resonance peak is conservative, as demonstrated in this paper. […]
A Fast Method to Identify the Order of Frequency-Dependent Network Equivalents
Wireless Sensor Networks (WSN) is an evolving technology and a sizzling research topic among researchers due to their tractability and impartiality of network infrastructures, such as base stations. It can also be used for applications such as building, traffic surveillance, and habitat monitoring and many scenarios. It is flexible to go through physical partition […]
Attacks that Downturn the Performance of Wireless Networks
In wireless sensor networks securing code update is essential for many crucial military applications. The nodes deployed in border areas in the military region called the border sensor nodes are the more sensitive nodes. The border sensor nodes need to do some special tasks compared to other intermediate sensor nodes. […]