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Residential demand response (DR) services have the great potential of growth, yet they are not adopted extensively. A comprehensive residential DR framework proposed in [2] connects utilities with DR participants via mobile apps, supports multiple DR programs, and enables fine-granulated control. In this paper, we focus on mathematical modeling and solutions for economically optimal operation for...
Human identification is very important for many applications. Most existing methods are based on ID cards or biometrical methods, such as fingerprint hard information or clothing color soft biometric trait. In this work, we propose a novel framework for human identification through recognizing human moving trajectory by two modalities, that is, the motion information from bird's eye view depth cameras...
Due to the real time changes in energy prices, demand response for residential customers who pay for fixed energy rates helps the utility to reduce its costs. However, residential demand response market is largely untapped, mainly due to the lack of customers' participation. This paper discusses two demand response programs for residential customers. These programs are not restricted to peak hours...
Due to the limitation of DTN resource and intermittent connection, it's challenging to design a mechanism which achieves high message delivery successful ratio and control congestion to satisfy the demand. In this paper, a novel DTN congestion control routing mechanism, Ant Colony Optimization(ACO) for DTN congestion control algorithm(ADC) is proposed. In the message delivery, this mechanism can actively...
In AUTOSAR system configuration phase, integrators face many challenges in determining the tradeoffs when mapping hundreds of software components to electronic control units (ECU), so finding a common method for this artificial process is very significant. In this paper, we provide an approach to help system integrators building a correct and efficient system configuration. In our method, nested software...
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