A time-based nested partition (NP) approach is proposed to solve resource-constrained project scheduling problem (RCPSP) in this paper. In iteration, one activity is selected as the base point of which the finish time...
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This paper considers the problem that the virtual mobile operator (VMO) buys services from the wireless service provider (WSP) to serve its users. When faced with poor indoor coverage or at the edge of marcocell, the ...
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As batches operate at different statuses across different phases, it can be advantageous to partition the whole batch process into different phases and characterize them separately by multiple local phase models. The ...
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ISBN:
(纸本)9781467355322
As batches operate at different statuses across different phases, it can be advantageous to partition the whole batch process into different phases and characterize them separately by multiple local phase models. The conventional clustering-based phase division algorithm overlooks the time sequence of batch operation which thus may mix different time segments located within a batch into one phase. Moreover, it is hard to capture the transitions between neighboring phases. In the present work, an automatic step-wise sequential phase division algorithm is developed to capture the changes of process characteristics along time direction within each batch. Its theoretical support is framed and the related statistical characteristics are analyzed. Using this algorithm, major phases are captured and the transition regions are separated from them as separate time regions. Thus, different statistical models are developed to reflect their time-varying characteristics. The online monitoring system is set up, which can realtime judge the affiliation of each new sample and check its status by adopting the proper statistical model. Comprehensive comparison is conducted between the proposed algorithm and clustering-based phase division algorithm. Its feasibility and performance are illustrated by an injection molding process which presents typical multiphase nature as well as transition characteristics.
This paper focuses on the load shifting problem in a household scenario with a large-capacity battery. We propose a novel Model Predictive control （MPC） framework to control the charge/discharge power of battery, he...
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ISBN:
(纸本)9781467355339
This paper focuses on the load shifting problem in a household scenario with a large-capacity battery. We propose a novel Model Predictive control （MPC） framework to control the charge/discharge power of battery, hence to shave the peak load. Being different from other studies, the framework is designed on the base of individual habit of energy consumption, as it is envisioned that the individual habit is critical for choosing the suitable energy services. In this paper, the habit is modeled as a Markov process and gradually learned by an iterative algorithm;thus, the habit can be utilized for the prediction of future energy consumption. Then, the rolling optimization is applied for the optimal control of the charge/discharge power of battery. It is shown by numerical simulations that the proposed approach can significantly reduce the peak load.
There are many multi-objective planning problems in emergency decision-making domain. HTN planners were widely used in emergency decision-making, while they have limited ability to solve optimization, especially multi...
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Spectrum mapping reflects the strength of brain electrical activity in different frequency *** current study analyzes changes in electroencephalography(EEG) after spinal cord injury(SCI) on the basis of spectrum *** s...
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ISBN:
(纸本)9781467358873
Spectrum mapping reflects the strength of brain electrical activity in different frequency *** current study analyzes changes in electroencephalography(EEG) after spinal cord injury(SCI) on the basis of spectrum *** spectrum mappings of SCI patients and normal subjects,the fact that beta rhythm dominated in brain electrical activity during walking period was *** addition,the proportion of delta wave increased and slightly exceeded that of beta wave after spinal cord injury and power values in delta band of SCI patients performed greater than that of normal subjects.
In this paper we present a new content-based retrieval descriptor, density-based silhouette descriptor (DBS). It characterizes a 3D object with multivariate probability functions of its 2D silhouette features. The new...
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ISBN:
(纸本)9789898565419
In this paper we present a new content-based retrieval descriptor, density-based silhouette descriptor (DBS). It characterizes a 3D object with multivariate probability functions of its 2D silhouette features. The new descriptor is computationally efficient and induces a permutation property that guarantees invariance at the matching stage. Also, it is insensitive to small shape perturbations and mesh resolution. The retrieval performance on several 3D databases shows that the DBS provides state-of-art discrimination over a broad and heterogeneous set of shape categories.
Spectrum mapping reflects the strength of brain electrical activity in different frequency band. The current study analyzes changes in electroencephalography (EEG) after spinal cord injury (SCI) on the basis of spectr...
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