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This paper proposes a framework, named after eVoucher program, to encourage parking lots, with high electric vehicles penetration rate, to participate in the retail electricity market at distribution level. It also entails the demand response, either in the negative (demand decrease) or positive (demand increase) direction, which improves the economic benefits for electric distribution companies and...
In this paper, we do experiments on the data analysis process of FCM algorithm for large data In the cloud environment. Firstly, we introduced the drawbacks of traditional data analysis. Secondly, we proposed an improved fast clustering algorithm. It shows that the method is feasible. At last, we conducted a simulation experiment, which has shown that the performance of MapReduce based Canopy-FCM...
Given the on-demand nature of cloud computing, managing cloud-based services requires accurate modeling for the correlation between their Quality of Service (QoS) and cloud configurations/resources. The resulted models need to cope with the dynamic fluctuation of QoS sensitivity and interference. However, existing QoS modeling in the cloud are limited in terms of both accuracy and applicability due...
A novel microfluidic dielectrophoretic chip has been fabricated and packed to trap the small particles with different sizes. In order to trapping different particles, the microfluidic chip integrated with U-shaped column and microelectrodes is designed and fabricated. In this paper, the particular process of fabricate micro-electrodes, micro U-shaped columns and microchannels is presented. The results...
Bag-of-visual phrase (BoP) has been proposed and developed for landmark recognition recently. However, existing BoP methods for landmark recognition have two major shortcomings: (i) they try to construct a universal phrase vocabulary for all object categories, which lacks specific descriptive capabilities for a particular category, and (ii) they often adopt simple criterion such as the frequency information...
This paper proposes a new information fusion approach that employs two information components for mobile landmark recognition, which includes: content analysis and context analysis. Existing landmark recognition works are mainly based on PC platform, which uses content analysis alone for recognition, and thus has a large computation cost and cannot satisfy mobile users' fast response time requirements...
This paper proposes a discriminative learning bags-of-words (BoW) approach for mobile landmark recognition at patch and image levels. Conventional methods often treat the local patches and images equally important for recognition and do not differentiate their different importance. Although there exist several works that consider the patches' discrimination information, they mainly focus on which...
This paper proposes an adaptive bag-of-phrases (BoP) algorithm for mobile scene recognition based on bag-of-words approach. Conventional BoW methods do not consider the dependence and pairwise relationship among different codewords. However, these contextual relations between pairwise codewords play an important role for users to recognize an image. In light of this problem, this paper proposes an...
Based on the new concept of Intelligent Hybrid Electric Vehicle which integrates comprehensive safety, fuel economy and environmental protection referred to the author's lab, by designing the plant models and vehicle controller with MATLAB/SIMULINK, this paper proposes a forward simulation platform of driving performance. First, the vehicle controller, which includes driver assistance control, energy...
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