Applied Mechanics and Materials
Vol. 69
Vol. 69
Applied Mechanics and Materials
Vols. 66-68
Vols. 66-68
Applied Mechanics and Materials
Vol. 65
Vol. 65
Applied Mechanics and Materials
Vols. 63-64
Vols. 63-64
Applied Mechanics and Materials
Vol. 62
Vol. 62
Applied Mechanics and Materials
Vol. 61
Vol. 61
Applied Mechanics and Materials
Vols. 58-60
Vols. 58-60
Applied Mechanics and Materials
Vols. 55-57
Vols. 55-57
Applied Mechanics and Materials
Vols. 52-54
Vols. 52-54
Applied Mechanics and Materials
Vols. 50-51
Vols. 50-51
Applied Mechanics and Materials
Vols. 48-49
Vols. 48-49
Applied Mechanics and Materials
Vols. 44-47
Vols. 44-47
Applied Mechanics and Materials
Vol. 43
Vol. 43
Applied Mechanics and Materials Vols. 58-60
Paper Title Page
Abstract: Intelligent traffic light control system based on fuzzy control was designed and the implementation of it was also discussed. The system can alter the signal light time according to the number of automobile waiting for passage. The simulation based on Mathematica software show that this method has better effect than traditional way in increase the automobile traffic efficiency and energy saving, what’s more it can adapt to complex traffic conditions.
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Abstract: Al-Ibrahim and Cerny proposed an authentication scheme of anycast communication. Their scheme is based on El-Gamal type signature scheme. We prove that their preferred scheme, which does not require interaction among the various signers, is insecure.
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Abstract: Typhoon cloud has its changeability, so it is difficult to track and predict compared with the rigid targets. Region of interest (ROI) and reference region were selected by using interactive methods. Bezier curve is used to smooth the gray level histogram of ROI and obtain Bezier histogram. The gray level value which is corresponding to the valley of the Bezier histogram is used to segment the ROI in order to get the tracking target. And target parameters could be predicted by using Kalman filter, then getting the moving track of the target. Experimental results show that the proposed algorithm has nice real-time ability and adaptability.
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Abstract: Because of crowed population, urban people live in a relatively narrower living environment. They currently set the electric socket at the corner of building, which may causes some using trouble especially for elders and disabler. Hence, we combining RF wireless transporting system with electric encephalon wave suggest a remote household electrical appliance controller aiding handicapped and senior to control every household electricity. It not only achieves carbon reduction, but also promotes community well-being.
2493
Abstract: Along with the information and communication technique progress, nosocomial medical care service has extended to the long-term care institute and home care. To meet the great amount of health care demand in this aging society, telecare comes to develop. This research realizes the sense system integrating of blood pressure (BP), blood oxygen saturation (SpO2), hear beat (HR), electrocardiograph (ECG), body temperature, and other physiological information, wirelessly and real-timely upload to the database which presents on the web end. It will provide the patients, their family, or medical members better, logger, and more stable physiological monitoring, then warns the related people of abnormal physiological signal. Moreover, it not only substitutes the hand-write medical record which may takes much physician time, but it provides the more intact health history of patients for the future reference.
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Abstract: Electronic throttle is a typical nonlinear device because of the nonlinear reset springs. Normal sliding mode control usually leads to chattering. To reduce chatters, a sliding mode control method based on compensation of nonlinearity is proposed, in which an observer is designed to observe and compensate the nonlinearity. A Lyapunov function was constructed to prove that control system is stable. Simulation and experiment results indicate that the proposed method can reduce chatters and achieve good control robustness.
2505
Abstract: A new approach is presented in this paper in which a Crush Natural Gas (CNG) Turbo Engine model based on Mean Value Model and transient dynamics are included. The model could simulate engine speed, torque, dynamic load, electronic throttle, turbo, temperature and emission conditions. The model was downloaded and run in a HIL platform joint with Labview and a CNG engine ECU. Simulation results indicate that it acquires good balance between Real-time response and dynamic accuracy, besides good comprehensive running status parameters including dynamic, mechanic, thermo and combustion. The model made it possible for electronic engineers to begin their works earlier to find solutions for power loss, high working temperature of CNG engine with more flexibility and lower bench test expense.
2511
Abstract: Many methods have been used to detect the motor speed. All of these methods are based on the parameter equation of motor and the detection results are influenced by parameters of induction motor more or less. The research of Speed Measurement method without of Motor parameters effect is very significant. Based on the harmonic generated in the air gap magnetic field by the stator core on the alveolar surface, directly by the analysis and testing of stator current harmonic, the rotor speed is detected which is proportional to the speed of frequency components. Experiment results show that this method is good, and the accuracy achieve a desired effect in real time.
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Abstract: The research way is discussed in this paper is to use digital image processing technology to measure the coordinates (x0, y0),the radius distribution for industrial product with cylinder Holes, as well as the machining dimension error which forms as a result of all sorts of disturbances in machining course, as the small eccentricity、the ellipticity、three side prism 、four side prism and so on , by this we can also find a just way to improve the numerical control machining precision.
2522
Abstract: In this work, we present a video-tag detection and recognition method. According to the duration of the video, choose an appropriate strategy to sample the frames. After the candidate tag of every frame is computed, a median filter algorithm is employed to get the tag boundary. At last the binary video-tag is determined by a multi-frame-based analysis algorithm. After scaling the binary tag image to the standard size, a full image-matching algorithm is used to recognize the tag. The experimental results indicate the proposed video-tag detection method has high recall ratio and precision ratio, and the image-matching-based video-tag recognition method performs much better than the traditional OCR methods.
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