Ground water level measurements are very important for a wide range of applications in geosciences, agriculture, environment monitoring and mining industry. Currently, reliable and automatic ground water level measure...
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Ground water level measurements are very important for a wide range of applications in geosciences, agriculture, environment monitoring and mining industry. Currently, reliable and automatic ground water level measurements have not been realized. This paper presents the simulation and design of a segmented resistance sensor for measuring ground water level. Based on this sensor design, we have developed an instrument that can automatically log the ground water level. Finite element simulations were performed to optimize the sensor design and to gain insight into its response. Experimental results in the lab and field have verified the usefulness of the sensor.
Although it is relative new, flocking control has been widely attended to coordinates the motions among multiple agents or robots stably based on potential *** provide a generic and efficient solution to the local min...
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Although it is relative new, flocking control has been widely attended to coordinates the motions among multiple agents or robots stably based on potential *** provide a generic and efficient solution to the local minimum problem encountered within various flocking systems in unexpected and irregular obstacle environment, this paper presents a new design of a multi-model flocking control for multiple mobile robots in terms of behavior-based *** this framework, some animal-imitating behavior modes are integrated with the new sequential flocking *** this way,the unity of stable aggregation in flocking and efficient obstacle avoidance motion can be efficiently and simultaneously *** simulation studies are comprehensively conducted to demonstrate the efficacy of the proposed procedure.
Recently, in the smartcard-based authentication system, there is an increasing trend of using fingerprint for the card holder verification, instead of passwords. However, the security of the fingerprint data is partic...
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Recently, in the smartcard-based authentication system, there is an increasing trend of using fingerprint for the card holder verification, instead of passwords. However, the security of the fingerprint data is particularly important as the possible compromise of the data will be permanent. To protect the fingerprint data, techniques such as "fuzzy vault" which is based on the difficulty of the polynomial reconstruction need to be developed for the smartcard-based environment. In this paper, we propose a secure and efficient approach which reconstructs a polynomial on a smartcard with the aid of a server by using fuzzy fingerprint vault distributed into the smartcard and the server. Based on the experimental results, we confirmed that our secret sharingbased approach can perform the fuzzy vault-based fingerprint verification more securely (by a factor of'300) and quickly (by a factor of 17) on a combination of a smartcard and a server.
Wireless body sensor network is employed into the coal mine rescue system. We present a multi-objective optimization methodology for self-organizing, adaptive wireless sensor network design and energy management, taki...
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Wireless body sensor network is employed into the coal mine rescue system. We present a multi-objective optimization methodology for self-organizing, adaptive wireless sensor network design and energy management, taking into consideration application-specific requirements, communication constraints and energy-conservation characteristics. We use genetic algorithm as the optimization tool. Simulation results show that this method can optimize the power management obviously to improve the network load balance, without lacking of network characteristics that are required by the coal mine rescue system.
In order to enlarge the measurement range of stereo vision measurement system and realize the accurate measurement for large-scale workpiece, a 3-D connection method is proposed based on control net. The method constr...
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In order to enlarge the measurement range of stereo vision measurement system and realize the accurate measurement for large-scale workpiece, a 3-D connection method is proposed based on control net. The method constructs the measurementcontrol net based on unit quaternions with the assistant measurementcontrol points that are set around the measured workpiece, and optimizes the measurement precise of control net with Levenberg-Marquardt (LM) optimal algorithm. Then it transforms the measurement data in the local coordinate systems of different measurement places to the global space coordinate system, obtains the global measurement data and realizes the 3D connection of the measurement data. The experiment results show that the proposed method can enlarge the measurement scope, and raise the measurement precision for large-scale workpiece.
From 1 to 3 October 2008 the Formula Electric and Hybrid Italy took place in the Safety Testing Center of Fiat Group Automobiles in Orbassano (TO), Italy. This fourth edition of Formula EHI, an international competiti...
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A new motion model and estimation algorithm is proposed to compute the general rigid motion object＇s 6-DOF motion parameters and center of rotation based on stereo vision. The object＇s 6-DOF motion model is designed...
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A new motion model and estimation algorithm is proposed to compute the general rigid motion object＇s 6-DOF motion parameters and center of rotation based on stereo vision. The object＇s 6-DOF motion model is designed from the rigid object＇s motion character under the two defined reference frames. According to the rigid object＇s motion model and motion dynamics knowledge, the corresponding motion algorithm to compute the 6-DOF motion parameters is worked out. By the rigid object pure rotation motion model and space sphere geometry knowledge, the center of rotation may be calculated after eliminating the translation motion out of the 6-DOF motion. The motion equations are educed based on the motion model and the closed-form solutions are figured out. To heighten the motion estimation algorithm＇s robust, RANSAC algorithm is applied to delete the outliers. Simulation and real experiments are conducted and the experiment results are analyzed. The results prove the motion model＇s correction and algorithm＇s validity.
One kind of combustible gas alarms based on industrial Ethernet was designed to prevent the gas leakage in industrial production sites, The alarm adopted the high performance microprocessor LPC2214 as the main chip. T...
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One kind of combustible gas alarms based on industrial Ethernet was designed to prevent the gas leakage in industrial production sites, The alarm adopted the high performance microprocessor LPC2214 as the main chip. The embedded operating system μC/OS-Ⅱand TCP/IP protocol stack uIP running on LPC2214 constitute a development platform of application of the combustible gas alarm, The test shows that it can automatically and continuously detect combustible gas in industrial production sites in several positions;it can give out sound-light alarm and take protective measures immediately against the gas leakage; and it can send the detected data to PC through the Ethernet interface to realize the remote detection. The designed project provides a reference to design industrial devices based on industrial Ethernet
Least squares support vector machine (LS-SVM) combined with niche genetic algorithm (NGA) are proposed for nonlinear sensor dynamic modeling. Compared with neural networks, the LS-SVM can overcome the shortcomings of ...
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Least squares support vector machine (LS-SVM) combined with niche genetic algorithm (NGA) are proposed for nonlinear sensor dynamic modeling. Compared with neural networks, the LS-SVM can overcome the shortcomings of local minima and over fitting, and has higher generalization performance. The sharing function based niche genetic algorithm is used to select the LS-SVM parameters automatically. The effectiveness and reliability of this method are demonstrated in two examples. The results show that this approach can escape from the blindness of man-made choice of LS-SVM parameters. It is still effective even if the sensor dynamic model is highly nonlinear.
This paper evaluates the validated uncertainty in SEVA sensor by integrating fault detection, identification and reconstruction (FDIR) and reliability engineering. The impact of each fault mode on measurement quality ...
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This paper evaluates the validated uncertainty in SEVA sensor by integrating fault detection, identification and reconstruction (FDIR) and reliability engineering. The impact of each fault mode on measurement quality is evaluated quantitatively by using a priori sensor reliability information to investigate the impact of incomplete fault coverage, FDIR and manual maintenance intervention. Bayesian probabilistic approach and uncertainty calculus are employed to model the impact of sensor validation on parameter uncertainty and to fuse the individual modes into a complete sensor model. A simulation of SEVA pressure sensor example illustrates the concept and conclusions.
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