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An energy internet is a system that enables energy sharing in a distribution system such as the Internet. It has been attracting a lot attention from both academia and industry. The main purpose of this paper is to develop a model of an electric vehicle (EV) energy network to transmit, distribute, and store energy by EVs from renewable energy sources to places that need the energy. We describe the...
Artificial Bee Colony(ABC) algorithm is a biological-inspired optimization algorithm, which has been shown to be compared with some conventional biological-inspired algorithms, such as Genetic Algorithm(GA), Particle Swarm Optimization(PSO) and Differential Evolution(DE). However, there exists problems such as premature convergence and trapping in local optimal. Inspired by DE, we propose an improved...
Network propagation delay and system parameters are always changing, to this case, the paper applied sliding mode control theory to set reasonable output bandwidth in dynamic network for XCP, and thus to compensate the uncertainty existing in the feedback factor. The source adjusted the sending rates according to it so that the network output could have high throughput and a smaller queue length....
This paper describes a unified data-driven prognostic framework that combines failure time data, static parameter data and dynamic (time-series) data. The approach employs Cox proportional hazards model (Cox PHM) and soft dynamic multiple fault diagnosis algorithm (DMFD) for inferring the degraded state trajectories of components and to estimate their remaining useful life (RUL). This framework takes...
Many social systems can be described in terms of complex networks of interacting dynamic entities. The research on social system's dynamics, such as epidemic or rumor spreading, are often suffered from constraints of relatively small to medium scale networks, or dependence on the underlying network assumptions, resulting in limited capacity for dynamics prediction. This paper proposes SUPE-Net, an...
With the pervasive participation from the Chinese netizens in the cyberspace, the Human Flesh Search (HFS) is becoming a phenomenon profoundly affecting the public life in China. While hot debate and discussion arise, it is still not clear how the knowledge fragments are gathered by the netizens, and eventually merge to an answer in a HFS. This paper presents a first study to the knowledge aggregation...
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