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Anomaly detection in sentiment analysis refers to detecting abnormal opinions, sentiment patterns or special temporal aspects of such patterns in a collection of data. The anomalies detected may be due to sudden sentiment changes hidden in large amounts of text. If these anomalies are undetected or poorly managed, the consequences may be severe, e.g. A business whose customers reveal negative sentiments...
This paper concerns the problem of swinging up multiple parallel pendulums on a cart by controlling only the energy of pendulums. Although the analysis of the energy control for swinging up single pendulum and two pendulums on the cart has been achieved in existing literature, a few analysis results have been reported for the case of multiple (greater than 2) pendulums. In this paper, we aim to provide...
There are two main problems with a visual simulation system, one is the complicated simulation scenarios and models, and the other is slow rendering speed. In order to simplify the models and improve rendering speed, we propose some methods to generate vivid 3D models on the premise of ensuring authentic representation and realtime display. The methods in this paper focus on model simplification and...
In grid computing, resources can be given and retrieved by grid nodes freely. The wide range of selection and the high degree of strangeness bring lots of problems in secure selection of grid. Efficient resource allocation and utilization can hardly be achieved without the assurance of a high degree of confidence relation. In this paper, we propose a solution based on trust mechanism. The trust management...
With the advent of DNA microarrays, it is now possible to use the microarrays data for tumor classification. Yet previous works have not use the nonnegative information of gene expression data. In this paper, we propose a new method for tumor classification using gene expression data. In this method, we first select genes using nonnegative matrix factorization (NMF) and sparse NMF (SNMF). Then we...
LSB matching improves the security of hidden message through changing the pixelpsilas LSB randomly, which breaks the rules of pairs of values in LSB replacement. This paper proposed a new steganalysis technique which aims at LSB matching embedding based on the local areapsilas correlation in grayscale images. The detection method defines the correlation between regional pixels as the difference between...
This paper studies how to design a congestion controller in TCP/AQM networks. In Hollot et al. (IEEE Trans. on Automatic Control, Vol. 47, No.6, 2002), the congestion controller is conservatively designed due to using the linearized model of the TCP/AQM networks in which a structured time-delay related term is treated as an unstructured uncertainty. Without treating any time-delay related term as...
The energy based control approach aiming to controlling the total energy and actuated variables of underactuated mechanical systems has generated renewed interests in studying these systems. Successful applications of the approach to the swing-up control for the Pendubot (2-link planar robot with passive first joint), the Acrobot (2-link planar robot with passive second joint), and an n-link revolute...
Extent of redundancy in human movements under nonholonomic constraints can be an important factor to determine a resulting movement. However, the redundancy has seldom been examined concretely in previous studies concerning optimality of human movements under such constraints. This study focuses on a gymnastic movements on the high bar, called `giant swing backward' as an almost periodic task under...
Processing underwater acoustic signals for monitoring and classification are difficult problems that have recently attracted attention in the field of underwater signal processing. For these purposes, it is necessary to use a method which could be able to extract the useful information about the processed data. In this paper, an algorithm of extracting feature from radiated noise of underwater targets...
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