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This paper proposes a stochastic programming approach based on Conditional Value at Risk (CVaR) to measure the impact of prediction errors brought about by the renewable energy and load on DC-linked multi-microgrids coalition in the distribution network so that the system scheduling operator can achieve the lowest day-ahead scheduling cost at a certain risk. Due to the prediction errors of the renewable...
Respiration rate plays an important role in human health monitoring. Traditional respiration rate monitoring techniques usually require users to wear some special equipment, which is not convenient for the elderly and the baby. Recently, Wi-Fi based respiration detection technique has attracted much attention due to its device-free and low-deployment-cost. However, most existing studies focus on respiration...
A predictive control scheme for the third-harmonic injection two-stage matrix converter (3TSMC) under unbalanced input voltages is presented. The proposed scheme is designed to predict the future behavior of the third-harmonic injection current and load currents respectively for each valid switching state. The control scheme selects the state that minimizes the error between the predicted currents...
Aiming at the problem of non - intelligent opening pressure regulation of four-circuit protection valve, a set of automatic adjustment system for four - circuit protection valve opening pressure is designed. The system of the host computer takes LabVIEW software as the development platform, and the programmable logic controller PLC as the next machine, with using COGNEX intelligent camera to accurately...
Studying public users' data on social networks to provide service and prediction for the society has been a widespread and effective way thanks to the rapid raise of social networks. However, users' population structure online is usually different from that of physical world, which may influence the researches significantly. Thus it may become an essential limitation for studies conducted by revealing...
Knowledge of a public housing project is very precious resources for other projects. Due to the public housing projects built by different enterprises, enterprises are not willing to transfer knowledge. To solve this problem, this paper uses the method of game theory to analyze the enterprises' knowledge transfer strategy choice, then analyze the dynamic equilibrium point and evolutionary path. Based...
In this paper, considering a class of dynamic systems with external disturbances and actuator faults, a novel observer which can estimate the state and the fault signal simultaneously is proposed. The estimation technology is applicable for the linear system with actuator fault and nonlinear system with Lipschitz conditions. Firstly, the sufficient existences conditions of the observer are discussed;...
In this paper, aiming at a class of systems subject to both state and input uncertainties, in which there is a random intermittent actuator fault, a passive dynamic output feedback fault-tolerant control strategy is proposed. The controller designed in this paper can ensure the stability of fault-free closed-loop system, moreover, can stabilize the closed loop system in finite time and guarantee the...
Detecting crack type and crack size is crucial for road maintenance and management. Mobile crowd sensing is a new way to collect the information of cracks on roads. We propose a system named CrackDetector to detect cracks and estimate their types and size with smart phone in this paper. The type of a crack (i.e., horizontal crack, vertical crack, net crack) is determined by a coordinate transmission...
The rapid development of social networks has woven themselves into people's daily life and become indispensable platforms with superior commercial and scientific values. Both companies and governments have discovered the potential effectiveness of employing social network users for information diffusion. Rather than only selecting a group of users who are interested in target topic, it is more beneficial...
Greenhouse gas emission by the increasing number of vehicles have become a significant problem in modern cities. To save energy and protect environment, recommending fuel-efficient routes to drivers becomes a promising way to alleviate this issue. To this end, in this paper, we present a novel fuel-efficient path-planning framework called GreenPlanner, which contains two phases. In the first phase,...
This paper described a methodology for airfoil optimization with hybrid laminar flow control, and the DFFD (Directly Manipulated Free-form Deformation) technique was used to improve the controllability and decrease the number of design variables. Compared with natural laminar flow, the application of suction over the first 10% ∶ 20% of the chord could delay the transition efficiently. The optimized...
A vehicle's fuel consumption is strongly related to both its loading and the driver's driving behavior, such as aggressive/tender acceleration, improper/proper gear change or running/stopping the engine while waiting. This paper introduces EasyRoute, an economical route recommendation system for modern vehicles, implemented in smartphones, to improve fuel efficiency. EasyRoute senses the vehicle's...
Abstract-Human identification plays an important role in human-computer interaction. There have been numerous methods proposed for human identification (e.g., face recognition, gait recognition, fingerprint identification, etc.). While these methods could be very useful under different conditions, they also suffer from certain shortcomings (e.g., user privacy, sensing coverage range). In this paper,...
In order to reduce the whole network energy consumption of wireless sensor network and select the most suitable nodes to participate in target tracking, a dynamic clustering method is proposed using an improved Kalman filter which based on Fisher information matrix in target tracking. With the basis of using of information criteria as the selection criterion of nodes in target tracking, the node residual...
In order to improve the prediction accuracy of cognitive radio spectrum and providing more reliable spectrum access for the subsequent spectrum detection, the dynamic fuzzy neural network is applied to predict the cognitive radio spectrum, and prove its feasibility. Simulation results show that the algorithm has higher accuracy than the general spectral prediction algorithm.
Job mobility is common in modern society, especially in the industry of information and communication technology. Job mobility prediction is valuable both for employees and employers. For the sake of lacking appropriate and sufficient records of job mobility, the traditional methods meet a significant challenge in job mobility prediction. Fortunately, the emerging professional social network provides...
The rapid development of e-commerce has greatly changed the lifestyle of people. Nowadays, people are used to buying various kinds of things online, and recommender systems become more and more necessary since users are overwhelmed by a large amount of information. However, that a user's consuming behavior would change with his life stage has not been taken into consideration in most existing recommender...
The prevalence of mobile crowd sensing (MCS) facilitates the collection of large-scale sensing data. There are many MCS platforms developed in various aspects. But there are few existing MCS platforms used for public facility. In this paper, we propose a crowd sensing platform for public facility management. Participants use their smart phones to collect the information of public facility by the smart...
Hadoop distributed file system (HDFS) was originally designed for streaming access large files, but the access and storage efficiency is low for the mass small files. This paper presents an access optimization approach for HDFS small file based on MapFile: TLB-MapFile. TLB-MapFile merges massive small files into large files by MapFile mechanism to reduce NameNode memory consumption and add fast table...
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