This paper aims at scheduling the charging behavior of a large population of plug-in electric taxis(PET) by means of pricing, in order to respond to load requirement of future smart grid in critical situations. The ma...
详细信息
ISBN:
(纸本)9781479947249
This paper aims at scheduling the charging behavior of a large population of plug-in electric taxis(PET) by means of pricing, in order to respond to load requirement of future smart grid in critical situations. The main contributions consist of two parts. First, the charging behavior of a single PET is analyzed, and a threshold-based scheduling algorithm is proposed from the perspective of PET in order to minimize its cost. Second, based on the individual behavior the aggregate charging behavior of a fleet of PETs is analyzed, and a pricing scheme is proposed so that the aggregated load of PET fleet can track a given target load profile. Numerical simulations verify the proposed method.
Two-stage-riser fluidized catalytic pyrolysis for maximizing propylene yield (TMP) process focuses on propylene production meanwhile without significant losses on gasoline/diesel yields. The complex nonlinear behaviou...
详细信息
Two-stage-riser fluidized catalytic pyrolysis for maximizing propylene yield (TMP) process focuses on propylene production meanwhile without significant losses on gasoline/diesel yields. The complex nonlinear behaviour of this process calls for advanced controlsystem to tackle various disturbances to achieve optimal operation. This paper is devoted to presenting an economics-oriented NMPC scheme that could maximize propylene production while satisfying process operation constraints. In the proposed scheme, those variables, which are difficult to be measured online, including product yields as well as uncertain model parameters are estimated by an unscented transformation based Kalman filter. Potential economic benefits and robustness associated with the proposed controller scheme are illustrated through simulations.
Hadoop/MapReduce has emerged as a de facto programming framework to explore cloud-computing *** has many configuration parameters,some of which are crucial to the performance of MapReduce *** practice,these parameters...
详细信息
ISBN:
(纸本)9783319271392
Hadoop/MapReduce has emerged as a de facto programming framework to explore cloud-computing *** has many configuration parameters,some of which are crucial to the performance of MapReduce *** practice,these parameters are usually set to default or inappropriate values.
By moving data storage and processing from lightweight mobile devices to powerful and centralized computing platforms located in clouds, Mobile Cloud Computing (MCC) can greatly enhance the capability of mobile device...
详细信息
ISBN:
(纸本)9781467371841
By moving data storage and processing from lightweight mobile devices to powerful and centralized computing platforms located in clouds, Mobile Cloud Computing (MCC) can greatly enhance the capability of mobile devices. However, when data owners outsource sensitive data to mobile cloud for sharing, the data is outside of their trusted domain and can potentially be granted to untrusted parties which include the service providers. Data security and flexible access control have become the most pressing demands for MCC. To address this issue, we design a secure and lightweight data access control scheme based on Ciphertext-Policy Attribute-based Encryption (CP-ABE) algorithm, which can protect the confidentiality of outsourced data and provide fine-grained data access control in MCC. The scheme can obviously improve the overall system performance by greatly reducing the computation overheads in encryption and decryption operations, provide flexible and expressive data access control policy, and meanwhile enable data owners to securely outsource most of the computation overheads at mobile devices to cloud servers. The security and performance evaluation show that our scheme is secure, highly efficient and well suited for lightweight mobile devices.
Compared to the traditional SAR imaging algorithm, Back Projection(BP) algorithm is an accurate point-by-point imaging radar algorithm based on time-domain, with simple principle and without any approximation error in...
详细信息
ISBN:
(纸本)9781510822023
Compared to the traditional SAR imaging algorithm, Back Projection(BP) algorithm is an accurate point-by-point imaging radar algorithm based on time-domain, with simple principle and without any approximation error in the imaging process. However, because of intensive computation and low efficiency, it's a new challenge to storage to capacity, throughput and processing ability of DSPs, a single DSP is not enough to meet these demands. So a parallel implementation method of BP algorithm based on TMS320C6678 DSP is proposed in this *** put forward a large point FFT multi-core parallel processing method on 2/4/8 cores what is frequently used in BP algorithm, and a multi-core synchronization method based on distributed memory. Finally using the measured data, we verify the parallel method can greatly enhance the multi-core parallelism, and the real-time performance of BP algorithm has been significantly improved.
In this paper we propose the rating Correlated Topic Model for rating-based collaborative filtering, which improves the performance of the state-of-the-art Latent Semantic Models in two aspects: (1), making the predic...
详细信息
In this paper we propose the rating Correlated Topic Model for rating-based collaborative filtering, which improves the performance of the state-of-the-art Latent Semantic Models in two aspects: (1), making the prediction accuracy more robust to the topic number K;(2), improving the recommendation quality for users with few existed ratings. We achieve our goals by employing the Logistic Normal distribution to capture the correlation between latent topics following the Correlated Topic Model, as well as modifying the generative process to meet the requirement of rating-based collaborative filtering. We derive a parameter estimation algorithm based on variational inference for the proposal. Experiment results on the Movielens data set demonstrate our model's advantages on both referred aspects.
DNA sequence design is a very important task for DNA selfassembly technologies, including DNA computing, complex 3D nanostructures and nano-devices design. These experimental DNA molecules must satisfy several combina...
详细信息
Graph coloring problem (GCP) is a well-known NP-hard combinatorial optimization problem in graph theory. Solution for GCP often finds its applications to various engineering fields. So it is very important to find a f...
详细信息
In the past few years, CUDA and OpenCL are developed in full use of the GPU, which is a significant topic in high performance computing. In this paper, we have proposed an implementation of the genetic algorithm for t...
详细信息
In the information transmission process of Smart Grid, the collection and transmission of power consumption data of the massive users are very important. The data can be classified into the periodic and the alarm data...
详细信息
ISBN:
(纸本)9781479947249
In the information transmission process of Smart Grid, the collection and transmission of power consumption data of the massive users are very important. The data can be classified into the periodic and the alarm data. Different types of data are different in terms of their priority, reliability and real-time, and the alarm data has more rigid requirements of priority, real-time and reliability. Based on the characteristics of the data transmitted by smart grid and the QoS requirement, a new hybrid MAC protocol, HTC-MAC(Hybrid TDMA/CSMA MAC) protocol is proposed. Based on TDMA /CSMA and their combination, this protocol proposes an alarm priority function(APF) and a node clustering method to allocates the resources dynamically, in order to reduce the transmission delay and data loss. Simulation results show that the protocol has a good performance in reducing packet loss rate and network communication delay.
暂无评论