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Dimensional approach has become a popular method in sentiment analysis because it represents emotions as continuous numerical values in multiple dimensions, such as valence-arousal (VA) space [1], therefore it can provide more fine-grained sentiment analysis compared to traditional categorical approach which represents affective states in discrete classes. However, affective lexicons and corpora with...
According to the connections between the feature subset and RBF neural network parameter, in order to improve the accuracy rate of intrusion detection, a network intrusion detection model ( IPSO-BPNN ) improving the article swarm and optimizing the neural network is put forward. Take the network feature subset and RBF neural network parameter as a particle, and discover the optimum network feature...
We present a simulation model constructed in collaboration with Intel Corporation to measure and gauge the interaction of non-linear supply chain phenomena (such as waste, uncertainty, congestion, bullwhip, and vulnerability). A representative model that mimics part of Intel's supply chain from fabrication to delivery is modeled using discrete-event simulation in ARENA. A “phenomena evaluation” framework...
New elastographic techniques such as poroelastography and viscoelasticity imaging aim at imaging the temporal mechanical behavior of tissues. These techniques usually involve the use of curve fitting methods being applied to noisy data to estimate new elastographic parameters. As of today, however, current elastographic implementations of poroelastography and viscoelasticity imaging methods are in...
This paper presents a new method to recognize ship target in SAR imagery using an active appearance model (AAM). The AAM can describe both shape and grey-level appearance of target which can present the target more accurately. The AAM is used as a basis for ship targets recognition. The whole method contains two steps: building an AAM firstly, then searching the target use it. The more detailed realization...
Digital system exhibits better accuracy, stability, flexibility, and anti-noise property than analog scheme. Among various existent PWM principles natural sampled PWM (NPWM) is the best one in aspects of the harmonic distortion, attenuation, and time delay of the base-band modulating signals. So the best PWM implementing scheme would be a fully digital implemented scheme based on the natural sampled...
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