International Journal of Intelligent Engineering and Systems

8

Authors: Yunong Wu, Kenji Kita, Fuji Ren, Kazuyuki Matsumoto, Xin Kang

: In this study, we make a scheme to explore the importance of modification relation for the emotional keywords annotation and emotion types recognition. We extract three modification features which are degree words, negative words and conjunctions from the Chinese emotion corpus named Ren-CECps. Beside word and part-ofspeech, three modification relations are adopted as feature in this study. We have carried out eight experiments with different feature sets for emotional keywords annotation and emotion types recognition in sentence level. Eight basic emotion types have been selected and Conditional Random Fields have been employed as the algorithm. In the part of evaluation, we demonstrate the importance of the modification features and our experiment results show the effectiveness of the modification features for improving the performance of emotional keywords annotation and emotion types recognition.

10

Authors: Rong-Fong Fung, Yi-Hsin Cheng

A new method of minimum-energy point-to-point (PTP) trajectory planning is proposed for an LCD glass-handing robot, which is driven by a permanent magnet synchronous motor (PMSM). The variable structure controller (VSC) is designed to track the trajectories and compensate LuGre model of frictional torque effects. The robot system is described by a mechanical equation and an electrical equation. To generate the minimum-energy trajectory, we employ a high-degree polynomial with suitable end-point conditions. The real-coded genetic algorithm (RGA) is used to search for the coefficients of the polynomial with the fitness function of minimum-energy input. Finally, numerical simulations of the minimum-energy inputs are compared for various degrees of polynomials. It is concluded that the proposed methodology can effectively design the minimum-energy trajectory, and the nonlinear VSC can track the designed trajectories for the robot system driven by a PMSM.

8

Authors: Jie Gao, Ke Chen

Vehicle ride comfort is one of the important properties of modern car. This paper takes a practical model for reference section and a virtual model is established based on virtual proving ground (VPG). By calculating and analyzing simulation results, we can comprehensively and accurately evaluate the model, and do further study of different factors impacting on ride comfort. The main researches include: the multi-body dynamics model and random road surface are established based on VPG. The body acceleration time-domain curves and frequency-domain power spectrums are obtained by LS-DYNA. Total weighted acceleration of vehicle ride comfort is evaluated by root-meansquare method. The effects of suspension system, tire pressure and speed on the vehicle ride comfort are analyzed. Simulation results show that the simulation of vehicle ride comfort based on VPG can truly reflect real test condition and the results achieved are accurate and reliable.

10

Authors: Ze Tao, Xiaoxia Liu

IA Petri net controller method for Petri net model with uncontrollable transitions that enforces the conjunctions a set of linear inequalities on the Parikh vector or place markings is proposed. The method for constructing a Petri net feedback controller is based on part design and Petri net reduction technique. Constraints are classified into admissible and inadmissible constraints. Matrix-Transformation method is proposed to transform the inadmissible constraint into admissible one to construct the controller. The method eases the design of controller and holds remarkable advantages especially for systems with large scale, because it only considers local incident matrix related to the place and Parikh constraints and uncontrollable transitions. Finally, the method is proved to be simple and efficient through some examples.

10

Authors: Wenbo Zhang , Xiaobo Tan

Different from terrestrial networks, satellite network topology is time-varying. Moreover, satellite networks communication resources are scare and expensive. So it is important to research on the fault management for satellite networks to insure it work safely and smoothly. However, the traditional fault management method for terrestrial networks is difficult to use for satellite networks. In this paper, the satellite networks topology is studied and the satellite networks management architecture is established. Based on these the three level management mechanism is proposed and put forward a new fault management method for satellite networks. When a satellite agent could respond to the network management instruction received from the management station, the traditional fault management method was used through network management technique. If the satellite could not respond to the network management demand, the intra-domain cooperation or inter-domain cooperation would be activated. The suspected fault satellite could be tested through cooperation among the satellite agents in satellites. The simulation results shows that in the circumstance of the low faulty frequency, the new method could be effectively used in satellite network with short cooperative time and low throughput.

10

Authors: Lei Wang, Fei Wang

Based on a small, lightweight, low-cost high performance inertial Measurement Units(IMU), an effective calibration method is implemented to evaluate the performance of Micro-Electro-Mechanical Systems(MEMS) sensors suffering from various errors to get acceptable navigation results. A prototype development board based on FPGA, dual core processor’s configuration for INS/GPS integrated navigation system is designed for experimental testing. The significant error sources of IMU such as bias, scale factor, and misalignment are estimated in virtue of static tests, rate tests, and thermal tests. Moreover, an effective intelligent calibration method combining with Kalman filter is proposed to estimate parameters and reduce the effect of IMU dynamic errors that can degrade the system performance. The efficiency of proposed approach is demonstrated by various experimental scenarios.

8

Authors: Huiying Dong, Shengfu Chen

In this paper, the correlation tracking algorithm based on the function of minimum average absolute difference is analyzed. In addition, a kind of correlation tracking algorithm based on particle filtering is used to avoid the target shaded by object. And last, Kalman filtering approach is used as the motion model of the multi-target tracking, and the recursive filtering method is adopted to calculate and predict the location of moving targets. The tracking results show that correlation tracking algorithm based on particle filtering can overcome the obstacle occlusion problem perfectly, which can also improve the robustness of target tracking. Besides, target tracking algorithm based on Kalman filtering works well for multi-target tracking, which has great practical significance on tracking technology for moving targets.

8

Authors: Ying Liang, Yongxin Feng

MIMO (Multiple-Input Multiple-Out-put) system is a core technology used in 802.11n which used multiple antennas to suppress fading. In the field of WSN network, routing protocols must be designed to minimize energy consumption for the nodes’ energy supply is constrained. Using MIMO technique in WSN could make use of the energy accumulation in the receiving nodes to increase the receiver signal intensity, thus reducing bit error rate and improve the reliability of data communication. As the MIMO-based WSN could supply higher data transfer rate for the same transmitting power and bit error rate, it also efficiently reduces the time of the node sending data and improves communication performance of the whole network. In this paper, based on dynamic collaborative virtual antenna MIMO technology, a new energy efficient routing protocol is proposed. The simulation results indicate that our protocol can obviously reduce the energy consumption in the specific application environment.