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Search Results: 1 - 10 of 18765 matches for " AiGuo Song "
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Pattern Recognition of Motor Imagery EEG using Wavelet Transform  [PDF]
Baoguo Xu, Aiguo Song
Journal of Biomedical Science and Engineering (JBiSE) , 2008, DOI: 10.4236/jbise.2008.11010
Abstract: Brain-computer interface (BCI) provides new communication and control channels that do not depend on the brain’s normal output of peripheral nerves and muscles. In this paper, we report on results of developing a single trial online motor imagery feature extraction method for BCI. The wavelet coefficients and autoregressive parameter model was used to extraction the features from the motor imagery EEG and the linear discriminant analysis based on mahalanobis distance was utilized to classify the pattern of left and right hand movement imagery. The performance was tested by the Graz dataset for BCI competition 2003 and satisfactory results are obtained with an error rate as low as 10.0%.
Discussion on Advanced Programming Language Courses Grades Teaching in Agricultural and Forestry University  [PDF]
Aiguo Zhang, Ping Song, Lanling Jiang
Creative Education (CE) , 2012, DOI: 10.4236/ce.2012.38B015
Abstract: Abstract. In view of students' Advanced Programming Language of different level in the higher forestry college, the implementation graded layers teaching can well realize the modern teaching concept which taking the student as the main body, and truly improve the quality of Advanced Programming Language courses teaching to  better meet the forestry and professional talent training needs of society. Advanced Programming Language course grade teaching in the higher forestry college needs to solve the teachers' quality and teaching cost, teaching management and the students' psychological and other major issues. It needs to strength teaching concept of human-oriented, improve teachers teaching level; scientific choose or write teaching material, carefully plan and design teaching content, Increase the teaching software and hardware facilities investment, improve the modern teaching management level; Strengthen teacher humanistic care consciousness and strengthen students' physical and psychological health level.
Fast Estimation of Strains for Cross-Beams Six-Axis Force/Torque Sensors by Mechanical Modeling
Junqing Ma,Aiguo Song
Sensors , 2013, DOI: 10.3390/s130506669
Abstract: Strain distributions are crucial criteria of cross-beams six-axis force/torque sensors. The conventional method for calculating the criteria is to utilize Finite Element Analysis (FEA) to get numerical solutions. This paper aims to obtain analytical solutions of strains under the effect of external force/torque in each dimension. Genetic mechanical models for cross-beams six-axis force/torque sensors are proposed, in which deformable cross elastic beams and compliant beams are modeled as quasi-static Timoshenko beam. A detailed description of model assumptions, model idealizations, application scope and model establishment is presented. The results are validated by both numerical FEA simulations and calibration experiments, and test results are found to be compatible with each other for a wide range of geometric properties. The proposed analytical solutions are demonstrated to be an accurate estimation algorithm with higher efficiency.
A Robust Static Decoupling Algorithm for 3-Axis Force Sensors Based on Coupling Error Model and ε-SVR
Junqing Ma,Aiguo Song,Jing Xiao
Sensors , 2012, DOI: 10.3390/s121114537
Abstract: Coupling errors are major threats to the accuracy of 3-axis force sensors. Design of decoupling algorithms is a challenging topic due to the uncertainty of coupling errors. The conventional nonlinear decoupling algorithms by a standard Neural Network (NN) are sometimes unstable due to overfitting. In order to avoid overfitting and minimize the negative effect of random noises and gross errors in calibration data, we propose a novel nonlinear static decoupling algorithm based on the establishment of a coupling error model. Instead of regarding the whole system as a black box in conventional algorithm, the coupling error model is designed by the principle of coupling errors, in which the nonlinear relationships between forces and coupling errors in each dimension are calculated separately. Six separate Support Vector Regressions (SVRs) are employed for their ability to perform adaptive, nonlinear data fitting. The decoupling performance of the proposed algorithm is compared with the conventional method by utilizing obtained data from the static calibration experiment of a 3-axis force sensor. Experimental results show that the proposed decoupling algorithm gives more robust performance with high efficiency and decoupling accuracy, and can thus be potentially applied to the decoupling application of 3-axis force sensors.
Dynamic Compensation for Two-Axis Robot Wrist Force Sensors
Junqing Ma,Aiguo Song,Dongcheng Pan
Journal of Sensors , 2013, DOI: 10.1155/2013/357396
Abstract: To improve the dynamic characteristic of two-axis force sensors, a dynamic compensation method is proposed. The two-axis force sensor system is assumed to be a first-order system. The operation frequency of the system is expanded by a digital filter with backward difference network. To filter high-frequency noises, a low-pass filter is added after the dynamic compensation network. To avoid overcompensation, parameters of the proposed dynamic compensation method are defined by trial and error. Step response methods are utilized in dynamic calibration experiments. Compared to experiment data without compensation, the response time of the dynamic compensated data is reduced by 30%~40%. Experiments results demonstrate the effectiveness of our method. 1. Introduction Multiaxis robot wrist force sensors are necessary for robotic systems in which contact force information between robots and environments needs to be obtained. There are various kinds of multiaxis force sensors available in commercial and research area, for example, cross-beam type multiaxis force sensors [1, 2], piezoelectric multiaxis force sensors [3], fiber multiaxis force sensors [4], and so on [5]. Multiaxis robot wrist force sensors are always mounted on the wrists of robots to convert multidimensional contact force signals into multichannel voltage signals. Such kinds of applications can be frequently found in assemble robots, teleoperation robotic systems, rehabilitation robots, and so forth [6–9]. During a robot task, the effectiveness of on-line force perception and feedback highly relies on the performances of the multiaxis robot wrist force sensor. The strong real time and rapidity in robot tasks require multiaxis force sensors to perform high dynamic characteristic. However, multiaxis force sensors (hereafter referred to as “force sensors”) always have low natural frequency and small damping ratio owing to the low stiffness of elastic body and using of strain gauges. As a result, the dynamic response of the force sensors is more than 0.2?ms, and the adjusting time is relatively long [10]. The A/D converters for force sensors will prolong the response time as well. The disparity of dynamic requirements from robotic tasks and the current performances of force sensors motivate the need to improve dynamic characteristics of force sensors. Improving dynamic characteristic of force sensors by hardware is limited and costly. In the field of measurement, dynamic performances of sensors are often improved by algorithms. Hence, dynamic compensation algorithms need to be designed to improve
Sensors for Robotics
Aiguo Song,Guangming Song,Daniela Constantinescu,Lei Wang,Quanjun Song
Journal of Sensors , 2013, DOI: 10.1155/2013/293656
Abstract:
A Methodological Probe to Aeronautical English Vocabulary Instruction  [PDF]
Aiguo Wang
Open Journal of Modern Linguistics (OJML) , 2011, DOI: 10.4236/ojml.2011.12007
Abstract: Students’ knowledge of words impacts their achievement in all areas of the curriculum because words are necessary for communicating the content. Aeronautical English vocabulary is a major difficulty which impedes students’ progress in EAP (English for Academic Purposes) learning (usually conducted in native English countries) or ESP (English for Specific Purposes). The paper introduces readers to the status quo of aeronautical English vocabulary teaching in P. R. China and some specifics of it in classroom activities so that EAP/ESP teachers can have a better idea of ESL teaching with regard to width and depth of aeronautical English vocabulary knowledge.
A Mobile Sensor Network System for Monitoring of Unfriendly Environments
Guangming Song,Yaoxin Zhou,Fei Ding,Aiguo Song
Sensors , 2008, DOI: 10.3390/s8117259
Abstract: Observing microclimate changes is one of the most popular applications of wireless sensor networks. However, some target environments are often too dangerous or inaccessible to humans or large robots and there are many challenges for deploying and maintaining wireless sensor networks in those unfriendly environments. This paper presents a mobile sensor network system for solving this problem. The system architecture, the mobile node design, the basic behaviors and advanced network capabilities have been investigated respectively. A wheel-based robotic node architecture is proposed here that can add controlled mobility to wireless sensor networks. A testbed including some prototype nodes has also been created for validating the basic functions of the proposed mobile sensor network system. Motion performance tests have been done to get the positioning errors and power consumption model of the mobile nodes. Results of the autonomous deployment experiment show that the mobile nodes can be distributed evenly into the previously unknown environments. It provides powerful support for network deployment and maintenance and can ensure that the sensor network will work properly in unfriendly environments.
Intelligent emergency service systembased on wireless sensor and actuator networks
Zhang Ying, Zhang Jun, Song Guangming, Qiao Guifang, Song Aiguo
- , 2016, DOI: 10.3969/j.issn.1003-7985.2016.01.008
Abstract: An intelligent emergency service(IES)system is designed for indoor environments based on a wireless sensor and actuator network(WSAN)composed of a gateway, sensor nodes, and a multi-robot system(MRS). If the MRS receives accident alarm information, the group of robots will navigate to the accident sites and provide corresponding emergency services. According to the characteristics of the MRS, a distributed consensus formation protocol is designed, which can assure that the multiple robots arrive at the accident site in a specified formation. The prototype emergency service system was designed and implemented, and some relevant simulations and experiments were carried out. The results show that the MRS can successfully provide emergency lighting and failure node replacement services when accidents happen. The effectiveness of the algorithm and the feasibility of the system are verified.
Fault detection and estimation for non-Gaussian stochastic systems with time varying delay
Kai Hu,, AiGuo Song, WeiLiang Wang, Yingchao Zhang and Zhiyong Fan
Advances in Difference Equations , 2013, DOI: 10.1186/1687-1847-2013-22
Abstract: In this paper, fault detection and estimation problem is studied for non-Gaussian stochastic systems with time varying delay. A new approach based on the output probability density function (PDF) and observers technique to detect and estimate time varying faults is presented. Some slack variables and scalars are introduced to design observers’ parameters, which can provide more degrees of freedom. A particle distribution example is given to illustrate the design procedures, and the simulation results show the performance of the proposed approaches.
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