Fair Friend Institute of Electromechanics

Hangzhou, China

Fair Friend Institute of Electromechanics

Hangzhou, China
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Yang A.,Fair Friend institute of Electromechanics | Jin Y.,Shanghai JiaoTong University
Zhongguo Jixie Gongcheng/China Mechanical Engineering | Year: 2013

A 1:50 scale model and the corresponding anti-seismic isolator of a quayside container crane were developed herein. A hammering modal test and a series of seismic shaking table tests were successively carried out to obtain the dynamic characteristics and the seismic responses of this 1:50 scale model with and without anti-seismic isolator. The experimental results indicate that the crane itself has relatively high earthquake-resistance capacity and overall stability, and can satisfy the seismic design requirements. When the anti-seismic isolator is used, the bending strain and acceleration responses at different nodes are significantly reduced. It shows that the design of this anti-seismic isolator is accurate and rational, and has a good isolation effect.

He L.-L.,Fair Friend Institute of Electromechanics | Lou X.-C.,Fair Friend Institute of Electromechanics
Sensors and Transducers | Year: 2013

Wireless sensor networks (WSN) has been widely applied to many fields such as disaster management and military operations. Clustering allows WSN more scalable and makes sensors Energy-saving. As the sensor nodes in WSN are all resource-limited devices and usually deployed unattended in the hazardous environments, security becomes more crucial. Authentication and key negotiation are the fundamental protocols to build a secure WSN. Public key algorithm and digital signature widely used in traditional networks are not very suitable for WSN. In this paper, we propose an authentication scheme for clustered WSN. The proposed scheme is based on LU decomposition which is less computation, storage, communication cost than the schemes based on public key technology. We also present security and performance analysis. © 2013 IFSA.

Han A.,China Jiliang University | Guo X.,Fair Friend Institute of Electromechanics | Liao Z.,China Jiliang University | Chen Z.,China Jiliang University | Han J.,China Jiliang University
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | Year: 2011

In order to improve the effectiveness of the existing classification methods of pests, a novel classification method of pests was presented by using compressed sensing theory. In the proposed method, a large number of the representative training samples of pests were used to construct the training samples matrix, and then the sparse decomposition representation of the testing samples of pests was obtained by solving the l1-norm optimization problem, which had distinct class information and could be used for the different species of pest classification directly. The 12 species of stored-grain pests and the 110 species of common pests were separately classified by the proposed method, and the classification precision reached around 92.9418%, 98.2877%, 78.8651% and 61.5938% respectively under 4 kinds of different experimental conditions. The experimental results indicated that the application of compressed sensing theory in the classification of pests was practical and feasible.

Guo X.,Fair Friend Institute of Electromechanics
Communications in Computer and Information Science | Year: 2012

With the limited resources, it is difficult for wireless sensor network to achieve a long time, continuous, high-speed acquisition of multimedia information and a real-time, reliable transmission of high-volume sampling data. This article proposed the novel data acquisition strategy based on compressed sensing theory, which can perfectly achieve the long time, real-time, reliable transmission of high-volume multimedia data in wireless sensor network. Reasonable experiments were designed to verify the effectiveness of the algorithms, and the experiment results show that: the proposed multimedia signal acquisition strategy is reasonable, practicable, and more suitable for the wireless multimedia sensor networks. © 2012 Springer-Verlag.

Lou X.-C.,Fair Friend Institute of Electromechanics | Yu X.,De Zhou Vocational and Technical College
Applied Mechanics and Materials | Year: 2014

Wireless sensor network coverage control is studied under conditions to ensure quality of service, in order to maximize network coverage, covering the use and application of the algorithm optimization strategy, contribute to the effective control of the network node energy and improve the perceived quality of service network lifetime extension of time. This paper presents an improved genetic algorithm to optimize the network effective coverage of the target, achieved through the coverage control algorithm crossover and mutation operation and a detailed analysis of the impact of sensing radius of coverage performance. Simulation results show that the algorithm is effective coverage reaches more than 85%, can effectively achieve wireless sensor network coverage optimization. © (2014) Trans Tech Publications, Switzerland.

Guo X.H.,Fair Friend Institute of Electromechanics
Applied Mechanics and Materials | Year: 2013

In order to improve the performance of the network control system based on the wireless sensor networks, a multi-hopping wireless communication and their effect on network time-varying delay is analyzed, and a new stabilizing controller is proposed based on the a client-server model in this paper. Using of the linear matrix inequality and switched control system theory to obtain the stabilizing conditions of the close loop control system and give the output feedback controller design approach. Preliminary experimentation indicates the rationality and effectiveness of the proposed control algorithm. © (2013) Trans Tech Publications, Switzerland.

He L.L.,Fair Friend Institute of Electromechanics | Lou X.C.,Fair Friend Institute of Electromechanics
Advanced Materials Research | Year: 2013

Multi-agent formation control is the process in which the teams formed by multiple agents move to specific target or specific direction. The formation method of the linear formation and circular formation are given in this paper, based on the geometric characteristics of the formation formed by multi-agent. The process in which 5 agents arrived at the designated target point and formed a linear formation is achieved through simulation; and 4 agents formed a circular formation and cooperated to carry heavy weights. The result of the three-dimensional simulation shows the feasibility of the method to form multi-agent formations in different environments and different tasks. © (2013) Trans Tech Publications, Switzerland.

Han A.,China Jiliang University | Guo X.,Fair Friend Institute of Electromechanics | Sun Y.,China Jiliang University
Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery | Year: 2010

In order to reduce the adverse impact of network time-varying delay, packet loss, network congestion, jitter and other properties on performance of the monitoring and controlling system for greenhouse environment based on wireless sensor networks, the event-driven feedback scheduling strategy was proposed. The basic idea of the proposed event-driven feedback scheduling strategy was to use deadline miss ratio as the indicator for the network quality of service, adjust the sampling period of each sensor nodes by means of feedback control technology at run time such that the bandwidth requirement of each sensor nodes could adapt the change of the network workload, and the quality of network service could be maintained at a certain level. The novel event-driven invocation mechanism for the feedback scheduler was adopted to reduce the design difficulty and overhead of the feedback scheduler. Experiments indicated the proposed event-driven feedback scheduling strategy was with rationality, effectiveness and practicability.

Jiang P.,Hangzhou Dianzi University | Qin T.,Hangzhou Dianzi University | Chen S.,Fair Friend Institute of Electromechanics
Chinese Journal of Sensors and Actuators | Year: 2012

Many sensor networks application require location awareness, particularly in the application of three-dimensional scenes. This paper discusses about AOA and Concentric Algorithm based three dimensional reduction node self-localization mechanism(AC-RL)for WSN. This mechanism operates in a three dimensional space. In this scheme, unknown nodes measure the AOA information between anchor nodes and themselves by anchor nodes broadcast their location information. AOA information is utilized to calculate the unknown nodes in the horizontal plane of the projection area. Hence, the circles concentric positioning in three dimensional environment is simplified to two dimensional environment. Finally, According to the received information the unknown nodes calculate their individual position. The simulation results demonstrate that the AC-RL algorithm has advantages in positioning accuracy and node density.

Guo X.,Fair Friend Institute of Electromechanics | Chen W.,Hangzhou Academy of Agricultural science
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | Year: 2013

In order to reduce the cost by multimedia signal sampling, processing, transmission of computing, storage, electricity, bandwidth resources in an environment-monitoring system built on a wireless sensor networks, this paper analyzed the limitations of the existing signal processing theory and random sampling methods. An improved additive random sampling method and the sampling time sequence obtained by this method had the same probability density function with the existing random sampling method. The proposed method effectively avoiding the phenomenon of adjacent sampling time interval was too large or too small, and each sequential sampling time had a clear causal relationship. On this basis, a novel resource-saving audio signal acquisition method was designed. In the proposed signal acquisition method, the audio signal acquisition was completed by cooperation between the sensor nodes and the sink nodes. The sensor nodes took the low frequency random sampling with the sparse audio signal, and the sink nodes reconstructed the original signal with high probability by using the received random sampling data. Then a test system was established with 13 acquisition nodes and a sink node based on the Zigbee network technology, and this system was used to implement the remote, wireless, and distributed acquisition of the crawl acoustic signal of Tribolium castaneum Herbst adults in grain barrel. In the test system, the proposed signal acquisition method was compared with the existing data compression method. Results showed that if the maximum data reconstruction error was less than 0.5%, the packet loss rate was less than 10% and each acquisition node only sampled one acoustic signal, then the packet loss rate was 9.1%and the maximum reconstruction error was 0.44% by using the proposed signal acquisition method. However, if using the existing data compression method, packet loss rate and the maximum reconstruction error were 9.3% and 0.46% respectively. Two acquisition methods had similar performance, and could achieve the remote, wireless, real-time acquisition for 13 acoustic signals. For the proposed audio signal acquisition method, when the sampling frequency was as low as 196 Hz, the packet loss rate and the maximum reconstruction error were 21.6% and 0.48%, respectively. But for the proposed signal acquisition method, the sampling frequency was only 586Hz, and it effectively reduced the resource consumption of acoustic signal acquisition. The method proposed in this paper can provide references especially for the wireless sensor networks with limited resources.

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