Due to the geographical distribution, different cognitive capacity, and different domain competency of workers or learners, many misunderstandings can occur during Web based remote collaboration, leading to inefficien...
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Detecting bursts in data streams is an important and challenging task. Due to the complexity of this task, usually burst detection cannot be formulated using standard query operators. Therefore, we show how to integra...
ISBN:
(纸本)9781605581668
Detecting bursts in data streams is an important and challenging task. Due to the complexity of this task, usually burst detection cannot be formulated using standard query operators. Therefore, we show how to integrate burst detection for stationary as well as non-stationary data into query formulation and processing, from the language level to the operator level. Afterwards, we present fundamentals of threshold-based burst detection. We focus on the applicability of time series forecasting techniques in order to dynamically identify suitable thresholds for stream data containing arbitrary trends and periods. The proposed approach is evaluated with respect to quality and performance on synthetic and real-world sensor data using a full-fledged DSMS. Copyright 2009 ACM.
The non-contact automatic on-line classification of explosives is a multi-aspect task. It involves choosing the method of information gathering, planning and conduction of experiments, choosing a classifier, formation...
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ISBN:
(纸本)9789549641523
The non-contact automatic on-line classification of explosives is a multi-aspect task. It involves choosing the method of information gathering, planning and conduction of experiments, choosing a classifier, formation of training and control samples, synthesis and reduction of recognition attributes, etc. This paper presents the results of conducted experiments for non-contact ultrasonic information gathering, formation of attribute spaces by means of wavelet transformations and an automatic classification of explosives.
This paper proposes a general Kernel-Bayesian framework for object tracking. In this framework, the kernel based method-mean shift algorithm is embedded into the Bayesian framework seamlessly to provide a heuristic pr...
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The data packet statistics sent by OpenFlow compliant switches cumulatively includes statistics about control traffic which is used for network control and management. This reduces the accuracy of calculation of QoS m...
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Formal verification is becoming a fundamental step of safety-critical and model-based software development. As part of the verification process, model checking is one of the current advanced techniques to analyze the ...
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The paper deals with voice recognition systems. A new finite element signal processing method is obtained. Each input signal is processed by a particular frequency. Most authors analyse the cepstral coefficients in th...
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The design of manufacturing systems requires exploring diverse component configurations for one that best satisfies the requirements of the target system. At the same time, manufacturing systems evolve continuously, i...
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Formal verification is becoming a fundamental step of safety-critical and model-based software development. As part of the verification process, model checking is one of the current advanced techniques to analyse the ...
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ISBN:
(纸本)9789949231782
Formal verification is becoming a fundamental step of safety-critical and model-based software development. As part of the verification process, model checking is one of the current advanced techniques to analyse the behaviour of a system. In this paper, we examine how the combination of two advanced model checking algorithms - namely bounded saturation and saturation based structural model checking - can be used to verify systems. Our work is the first attempt to combine these approaches, and this way we are able to handle and examine complex or even infinite state systems.
The performance of action recognition in video sequences depends significantly on the representation of actions and the similarity measurement between the representations. In this paper, we combine two kinds of featur...
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