Earticle

The OraCDP disaster recovery system uses CDP disaster recovery technology based on the combination of block level, combining with the communication coupling between the underlying I/O and Oracle database. The experimental results show that the OraCDP system can not only maintain the normal operation of the original system without any negative influence, but also guarantee the recovery of data and service at specific time quickly, fully and accurately.

There have two effective ways to improve the overall efficiency of the object-based distributed storage system, one is network caching technology and the other is metadata server cluster load balancing strategy. Under the heterogeneous storage environments, object-based distributed file system face the key challenge of lacking caching mechanism for the high-frequency access files, metadata server load imbalance also reduce the overall efficiency. To address these challenges, we discuss the design and implementation of an object-based distributed file storage caching system, and propose a weight-based metadata server cluster load balancing strategy. It effectively improve the metadata processing capacity. Base

Low-cost wireless sensor nodes have become more important in the area of modern structural health monitoring (SHM) the power consumption and cost of the wireless sensor nodes play an important role in the development of modern SHM. This paper presents a low-cost wireless vibration measurement method using wireless sensor nodes. To improve the quality of the signals from the wireless accelerometer, an alpha-trimmed filter is considered to mitigate impulse noise. In order to demonstrate their feasibility to the SHM, experimental modal analysis for a cantilever beam has been carried out and compared with the conventional wired vibration measurement system. Experimental results show the feasibility of using low-resource wireless sensor nodes for structural health monitoring.

Since the encoding of Mongolian web pages is not unified and the amount of web pages are is fewer, a method to unify linguistic model and hyperlink analysis is designed to solve the problem. Firstly the web page language identification is carried on by the N-Gram language model, as well as the average distance of language identification is a part of the hyperlink correlation degree. Secondly the hyperlink correlation degree is calculated based on the anchor text, hyperlink increasing and hyperlink depth. Finally the hyperlinks which are sorted by the hyperlink correlation degree become the collecting seeds of the next web page. The experimental results show that the method of collecting Mongolian web page based on hyperlink correlation degree can effectively enhance the information sum, collection speed and the accuracy rate.

This paper concerns the asynchronous stabilization problem of switched singular systems with interval time-varying delays. In ideal cases, the stabilizing controller is designed under the assumption that the switching times between the system and the controller are exactly the same. In fact, there are time-delays in the switching signal of the controller, which results in asynchronous switching. The closed-loop system may be unstable under the average dwell time and the controllers derived by ignoring the switching delay. For this case, based on piecewise Lyapunov-Krasovskii functional technique and merging signal method, some sufficient conditions for existence of a stabilizing controller are provided to guarantee that the switched singular time-delay system is regular, impulse free, and exponentially stable with the new average dwell time conditions. Then, the stabilizing controller depending on the asynchronous information is designed. Finally, a numerical example is given to demonstrate the effectiveness of the results.

In this paper, a self-organizing method, which is based on a simplified virtual-force model, is proposed for nonholonomic mobile swarm robots hunting in unknown environments. First, the motion models for the hunted target in unknown cluttered environments are designed. Next, through the decomposition of hunting behaviors under cluttered environments, a simplified virtual-force model is formed. Then, based on the virtual-force model, a control method is designed for swarm robots following motions of barriers and the target. The method only needs the location information of the target and two nearest neighbors, so it is easy to be calculated and realized. After that, the stability of the hunting system is analyzed and the control parameter ranges are achieved. Simulation results for different situations and comparative analyses demonstrate that the proposed hunting method has good performance of obstacles avoidance and flexibility.

In this work, we are harnessing the benefits available in Raspberry pi in order to make a robot vehicle that is fully controlled by the raspberry pi. Every month there is a new technology launched in some or the other part of the world, by this statement we can estimate how fast the world is growing in field of science and technology. If we study the current era of technology, the upcoming trend we can see is that of the nanotechnology, robotics, artificial intelligence, internet of things, and automation. One of the technologies that we are studying is the coming up of mini CPUs, or we can say the Raspberry pi. The ARM architecture is what the raspberry pi is based on.

Data traffic distribution across heterogeneous mobile networks requires a control management in order to optimize the handoffs between its entities. The more the technologies are evolving, the more complex the distribution of data traffic becomes. The standard MIPv6 and hierarchical MIPv6 mobility management were introduced in order to address the flow mobility of data traffic. This paper exploits the multi-connectivity option for mobile nodes in HMIPv6 in order to utilize the optimum route for the data traffic distribution.

Regenerative energies are generated by regenerative braking of train. Regenerative energies might cause the problem of power quality such as the voltage drop and malfunction of the power conversion device in the electric railway system. For these reasons, many researches have studied to solve these problems. In this paper, we modeled DC electric railway system based on the solid state transformer that is composed of voltage source converter (VSC) and bi-directional DC-DC converter for controlling the regenerative energy. In order to verify the performance of the proposed electric railway system, electric railway system is modeled by using real time simulator OP5600. In addition, the controller of solid state transformer is implemented by using DSP, TMS320F28335.