With the continuous development of information technology, artificial intelligence and location detection technology have gradually penetrated various systems. The research progress in the field of humanoid robots is ...
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With the continuous development of information technology, artificial intelligence and location detection technology have gradually penetrated various systems. The research progress in the field of humanoid robots is on paper, but there are still some defects that limit the performance of robots in some application scenarios. In order to solve the problem of feature recognition and robot self-localization in football field, this paper proposes a soccer robot localization detection model based on Monte Carlo particle filter and template matching algorithm. The model uses particle filter for robot positioning to achieve the purpose of global visual positioning and navigation, in order to meet the needs of real-time and accuracy during the competition. The image is preprocessed by templatematching, and the feature information and edge information are extracted to recognize the target. The results show that the highest accuracy of the proposed algorithm is 0.895, and its accuracy is 0.99. When the recall rate reaches 1, the accuracy rate can still be maintained at 0.43, which verifies the effectiveness and practicability of the localization detection model under the use of this algorithm.
Hand motion recognition systems, especially those these using wearable electronic glove, have received growing attention in the field of human-computer interaction and medical rehabilitation. However, two problems sti...
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ISBN:
(纸本)9798350388084;9798350388077
Hand motion recognition systems, especially those these using wearable electronic glove, have received growing attention in the field of human-computer interaction and medical rehabilitation. However, two problems still exist: (1) the sensors are usually single, which fails to acquire the multi-sensor information;and (2) Pattern recognition based on deep learning algorithms tend to require a large number of samples to ensure pattern recognition accuracy, whereas obtaining a large amount of hand movement information from a patient is difficult. To address the above problems, this study develops a hand motion recognition system through combining a wearable sensing glove and a new template matching algorithm. The wearable sensing glove employs five Flex sensors and one Inertial Measurement Unit (IMU) to obtain the gesture information, followed by realization of the human-computer interaction through the Unity3D software. Meanwhile, a simple template matching algorithm is constructed for the hand gesture recognition, which can recognize 10 numbers and 20 letters in American Sign Language (ASL) with an accuracy of 90.11% and 87.13%, respectively. The proposed hand motion recognition system can basically meet the needs of patients for hand movement recognition.
Nowadays, with the increasing number of people who suffer from cardiovascular diseases such as irregular heartbeats (arrhythmia), there is a vital need to pay more attention to healthcare conditions. Therefore, the pr...
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Nowadays, with the increasing number of people who suffer from cardiovascular diseases such as irregular heartbeats (arrhythmia), there is a vital need to pay more attention to healthcare conditions. Therefore, the production of smart biomedical garments becomes of great necessity. The first step of manufacturing such smart garments is to build an electrocardiogram (ECG) analysis system. In this paper, the premature ventricular contraction (PVC), which is a serious life-threatening cardiovascular condition, is recognised. In addition, an improved templatematching technique is developed, implemented, and evaluated to identify the irregularity of PVC beats in the QRS complex and T wave. The improvement in this technique is that a PVC recogniser is established by analysing the maximum and minimum correlation coefficient values instead of the maximum values only. Moreover, a sufficient number of features are relied upon for the accurate detection of PVC beats. The template matching algorithm is evaluated on the MIT-BIH arrhythmia, St. Petersburg Institute of Cardiological Technics (INCART), QT, MIT-BIH Supraventricular Arrhythmia, and Fantasia databases. The results show a valuable accuracy enhancement when compared with those of other recent approaches.
With the development of electric power system, the use of one single electric power simulation software about large power grid can't meet the needs of the actual research any more. As the data of PSASP, BPA and ot...
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ISBN:
(纸本)9783038351016
With the development of electric power system, the use of one single electric power simulation software about large power grid can't meet the needs of the actual research any more. As the data of PSASP, BPA and other software can't be universal, developing a data interface program to realize data file sharing is of great concern. In this paper, based on the templatematching method, power system network model and the control model itself of different software are compared and studied, and the template database was designed according to the results of the analysis. Data convert from BPA and PSASP to the third party software is realized.
Structural health monitoring of large-span bridges and high-rise buildings is crucial for ensuring safety and serviceability. However, accurately capturing motion in these structures using consumer-grade cameras is ch...
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Structural health monitoring of large-span bridges and high-rise buildings is crucial for ensuring safety and serviceability. However, accurately capturing motion in these structures using consumer-grade cameras is challenging due to their limited Field of Vision (FOV). To address this issue, in this study, a novel output-only substructural condition assessment framework based on the reinforcement learning-guided evolutionary algorithm and vision-based displacement response reconstruction technique is proposed. On the one hand, displacement responses of the target substructure are extracted from the vibration video using subpixel template matching algorithm with camera pose correction, which is suitable for integration with substructure strategy to detect elemental damage. A vision-based substructural displacement response reconstruction technique is developed based on transmissibility matrix and Tikhonov regularization. The measured and reconstructed displacements are utilized to established the objective function. On the other hand, to solve the optimization-based damage identification problem, a new reinforcement learning guided evolutionary algorithm, named sparse Q-learning guided evolutionary algorithm (SQEA), is proposed. In the proposed SQEA, sparse initial population is produced by reducing the dimension of unknown parameters to be identified. Six different search strategies, including DE/rand/1, DE/rand/2, DE/best/1, DE/best/2, Jaya mutation, perturbation with the Cauchy mutation, are used to construct a search strategy pool. A representative reinforced learning algorithm, Q-Learning algorithm is introduced to adaptively select the most suitable search strategy. Experimental tests on a steel frame structure and a three-span beam structure are performed to validate the accuracy, efficiency, and robustness of the proposed approach. Results demonstrate that the damage locations and extents can be accurately identified without the measurement of input forces,
Most of the studies in the field of structural control are focused on maximizing the performance of control devices without taking into consideration the complex dynamic response of the structure, computational effici...
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Most of the studies in the field of structural control are focused on maximizing the performance of control devices without taking into consideration the complex dynamic response of the structure, computational efficiency, performance flexibility, and feedback reliability. Also, the location algorithm of energy dissipation should be concatenated with the control strategy, for effective structural control of multi-story structures. Moreover, in recent years, non-contact measurements using digital image correlation techniques have been adopted and implemented for the monitoring of civil engineering structures. However, its application is restricted to reinforced cement concrete members, involving a lower frequency spectrum, small displacements, and a lower image capture rate. In this study two response-based-adaptive control strategies based on inter-story drift and acceleration response reduction objectives respectively have been proposed. The control strategies are then integrated with the device location algorithm to establish the optimum configuration/location of magnetorheological dampers in addition to the design parameters of the controls system. The performance of proposed strategies is numerically compared with the benchmark Genetic algorithm using the Clipped optimal controller. The corresponding results indicated that proposed control strategies performed better for high-intensity ground motion and satisfactorily for low-intensity records. Next, the shake table results validated the performance of response-based-adaptive control strategies with device allocation algorithm in alleviating the peak and RMS response of the structure. The response of the structure was also attenuated and distributed among the modes of the structure, as indicated by the fast Fourier transform response of the structure.
The tractor-trailer-train at the braking process prone to braking instability caused by asynchronous braking between the shafts. With respect to the lack of intelligent detection of Braking Time Sequence (BTS), a non-...
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The tractor-trailer-train at the braking process prone to braking instability caused by asynchronous braking between the shafts. With respect to the lack of intelligent detection of Braking Time Sequence (BTS), a non-contact dynamic detection scheme of intelligent vehicle BTS is proposed. Based on the monocular vision principle, the edge markers of tractor-trailer train tires are identified, and the tire slip rate is solved. The noise reduction of the collected image is processed. The marker area is obtained by Blob analysis. This region at the image to be matched is identified by the template matching algorithm based on contour. The camera is calibrated by Zhang's calibration method. In order to verify the effectiveness of the detection scheme, the real vehicle test was carried out. The test results show that the error of slip rate solution is below 4.2%.
Aiming at the shortcomings in the existing measurement technology, this article presents a new measurement algorithm by Binocular Stereovision. First, find the coordinates of the target object in two different image s...
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ISBN:
(纸本)9789811065712;9789811065705
Aiming at the shortcomings in the existing measurement technology, this article presents a new measurement algorithm by Binocular Stereovision. First, find the coordinates of the target object in two different image sensors, then change the values of the coordinates according to the space coordinates system. According to the theories of space analytic geometry, the real coordinates of the target point will be calculated. Choose proper boundary points of the target, whose spatial information will reflect the spatial information of the target object. It is known by experimental data that the error rate within 1 m is less than 2%.
The process of crack on eggshell detection using image processing techniques that consists of seven steps that started by input egg image data into system for getting a visual information. The sharpest and the image f...
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ISBN:
(纸本)9781538684580
The process of crack on eggshell detection using image processing techniques that consists of seven steps that started by input egg image data into system for getting a visual information. The sharpest and the image file is the JPEG extension and can be imported into Matlab program to use for image processing. Then Converts to gray, when the egg picture. Then, convert the color image into a gray scale for efficient processing. Finding the edge using the canny edge detector method and interfering with image noise. Then, finding the area within the chicken egg and fill in the gaps for Can be calculated. Next, Invert Color for found a crack found clear and compared crack of egg. The last step is recognition and output, which the templatematching recognizes templatematching for high performance. When detecting a egg crack detection, the system would send image notification. The result of this project is that the template matching algorithm was 90% accurate.
In order to improve the intelligence of video monitoring system of belt and make up the deficiency of higher failure rate and bad real-time performance in the traditional systems of measurement of belt speed, accordin...
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In order to improve the intelligence of video monitoring system of belt and make up the deficiency of higher failure rate and bad real-time performance in the traditional systems of measurement of belt speed, according to the fact that the light of coal mine is uneven, the strength of light changes greatly, the direction of belt movement is constant, and the position of camera was fixed, various algorithms of speed measurement by video were studied, and algorithm for templatematching based on sum of absolute differences （SAD） and correlation coefficient was proposed and improved, besides, the tracking of feature regions was realized. Then, a camera calibration method using the invariance of the cross-ratio was adopted and the real-time measurement of belt speed by the hardware platform based on DM642 was realized. Finally, experiment results show that this method not only has advantages of high precision and strong anti-jamming capability but also can real-time reflect the changes of belt speed, so it has a comprehensive applicability.
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