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The pervasive imbalanced class distribution occurring in real-world stream applications, such as surveillance, security and finance, in which data arrive continuously has sparked extensive interest in the study of imbalanced stream classification. In such applications, the evolution of unstable class concepts is always accompanied and complicated by the skewed class distribution. However, most of...
In recent years, D2D communication technology has been widely used in cellular networks. By introducing D2D users, cellular networks can improve the efficiency of using resources, which can improve the quality of communication. In the system where both D2D users and cellular networks users exist, we studied the method how every user is introduced into the cellular networks to improve the resource...
This work stems from the project with National Institutes of Health on elderly human posture recognition in their real-world wearable sensor data streams. The problem presented several challenges: near real-time posture recognition, skewed class distribution, time-changing data streams and sensor management. To tackle these challenges, in this project, we present our design integrates with resampling,...
We consider the distributed tracking problem in networks of heterogeneous agents with limited sensing and communication ranges. A gossip-based distributed Kalman filter (GDKF) is proposed, where an average consensus on predictions of different agents is achieved by randomized, asynchronous gossip algorithms in a totally distributed way. The error dynamics of GDKF is proved to be a globally asymptotically...
Human posture recognition has a wide range of applications including elderly care and video surveillance. This paper discusses how to recognize human postures using wearable devices. From real-world data, we analyze the challenges in terms of result performance, recognition efficiency and sensor selection. To deal with the challenges, we present our design with five techniques: i) oversampling and...
Survival analysis with high-dimensional data deals with the prediction of patient survival based on their gene expression data and clinical data. A crucial task for the accuracy of survival analysis in this context is to select the features highly correlated with the patient's survival time. Since the information about class labels is hidden, existing feature selection methods in machine learning...
As one of the most important basic supporting technology of WSN, wireless sensor network positioning technology has an indispensable role. Different positioning algorithms have different strengths and weaknesses, in order to achieve high positioning accuracy and large node coverage, this paper proposes hybrid positioning algorithms of APIT and DV-HOP based on the analysis of various basic algorithms...
E-commerce applications is a typical scale collaborative application, which includes many complex trading processes and small applications, such as portals of buyers and sellers, product management, online payment and billing, logistics system, and so on. But it is a challenge to develop such large-scale collaborative application using traditional method starting from scratch, since many application...
In cloud computing, one of its intensions is tomeet service level agreements (SLAs) under high resource utilization. Cloud service providers normally make policies for the provisioning of resource sharing and performance optimization. As a result, the prediction of performance and resource utilization prior to the implementation deems as a promising and efficient tool for cloud providers. It is a...
There were growing demands of electricity-generating in the walking machines. Taking the engine power out by a power takeoff arranged between the engine and generator was proved to be a good solution. However, it needed an automatic speed controller (ASC) for regulating the engine and the generator speed. Therefore, designing a sound ASC was a major issue for the generating system in the walking machines...
This paper has researched the vector modulation strategy of three-phase to single-phase matrix converter (3–1 MC) with an active power decoupling capacitor, and focused on asymmetric two-phase current vector modulation of 3–1 MC's virtual inverter. Each work state of 3–1 MC during a switching period is obtained based on the analysis of 3–1 MC's voltage sectors, current sectors and the input current...
In this paper, a distributed control method for distribution system with integration of distributed generations is proposed based on multi-agent system technology. Considering the requirement of voltage control and power factor correction, the distribution system voltage/var control model is built under the multi-agent system framework. To realize distributed control, the voltage adjustment message...
This paper presents the method of detecting wire position with alternating current by induction coil. The model of live wire magnetic field was described, and the relationship of height and horizontal distance of the electromagnetic sensor and magnetic field has been analysed with MATLAB. Through the analysis of the magnetic field model, inductance coil was selected as the electromagnetic sensor....
Machine fault diagnosis is a field of mechanical engineering concerned with finding faults arising in machines. In this paper, we use the Bayesian network (BN) classifiers and data mining technology to diagnose different kinds of rotor faults in machinery fault simulator (MFS) under varied loads. First of all, three kinds of popular BN classifiers are introduced as the diagnosis model for rotor fault,...
The subject addressed is organizational structure mode and control process mode of distribution network rush-repair. Repair control process based on information support platform is built, and the interactive method of various information systems is proposed, providing theoretical and practical references for further improvement of fault rush-repair control in future smart distribution system.
In this paper, a new fault identification method was proposed based on normalized energy distribution and grey relation degree. Firstly, the sampled data was denoised by morphological filter. Secondly, the denoised signal was transformed in frequency domain, and some frequency bands which could express the typical fault type were selected by harmonic window decomposition. Thirdly, the normalized energy...
For the solution of the problem that compaction of loose defects inside ingot is more difficult than forging cavitary defects together, in this paper, numerical simulation with DEFORM software is performed for the compaction process of loose defects inside forging of low-pressure rotor of 600MW steam turbine, the Simulation results are basically consistent with experimental results, it shows that...
After deeply studying the relationship between reason and symptom of the fault, a novel intelligent fault diagnosis method was proposed based on grey similar relation degree. Firstly, the definition of grey relation degree was introduced. Secondly, on the base of analyzing the defects existed in the grey relation degree, the definition of grey similar relation degree was introduced. Thirdly, the symptom...
Classical sensors are always sensitive to several parameters in Automated Testing and Control system. This phenomenon is called cross-sensitivity. It restricts the application of sensors in engineering. In order to reduce cross-sensitivity, this paper is build a multi-sensor system measurement model. For solving the nonlinear problems in the model, multiple-input multiple-output (MIMO) least square...
As a typical MAC layer salvaging scheme, MASA is applied to IEEE802.11 with constant bit rate. In Ad Hoc networks, the salvation character of this scheme improves the performance of the 802.11 MAC protocol. However, the IEEE802.11b with variable bit rate is widely used at present. Consequently, it is necessary to analyze the behavior of MASA in variable rate conditions. Based on the above idea, this...
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