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Analysis of SCARA Robot Controller
Feng Cao,Xue-Heng Tao,Xin Zhao,Jin-Shi Lu 한국멀티미디어학회 2006 한국멀티미디어학회 국제학술대회 Vol.2006 No.-
The robot controller is one of the key parts in the robot. It has an important influence on the running of the robot, which in tum may affect the production. The principle of the controller, therefore, should be fully understood and mastered. no structure and working principle of Type of Panadac399 of SCARA Industry Robot is analyzed in this paper, which can provide references for the future design, mounting, debugging and improvement of the same type of robot controller or numerical control machines.
Parsing the Security of Bluetooth
Zhen-Ping Lan,Xue-Heng Tao,Xin Zhao 한국멀티미디어학회 2006 한국멀티미디어학회 국제학술대회 Vol.2006 No.-
Bluetooth is very susceptible to attacks for using radio waves to transfer information. This paper is just concerned with the security of Bluetooth system. The safe tasks and system structure of Bluetooth technology are discussed first of all. On the basis of that, the mechanism of authentication and encryption is investigated mainly. In the end, it constructively puts forward some feasible solve measures aiming at these existing flaws and possible security holes.
A new algorithm of abstracting numeric image outline
Xiao-Feng Shang,Xue-Heng Tao,Xin Zhao,Jin-Shi Lu 한국멀티미디어학회 2006 한국멀티미디어학회 국제학술대회 Vol.2006 No.-
A new algorithm based on iterative-dynamic algorithm and edge detection algorithm has been formulated in this paper. In the experiment, the binary image was first introduced by iterative-dynamic threshold algorithm, which had a good performance in restraining noise. Gauss filter was then applied to the binary image in order to eliminate some false edge pixels; statistic and differential coefficient methods were used for calculating the grads-in-image of scope and direction. The object edge was hereby detected and abstracted by using double threshold. Compared with traditional edge abstraction algorithm, the algorithm is advanced in solving the main problem that traditional edge abstraction was in the face of. By reason of using iterative-dynamic algorithm in the first step, it has perfect quality in restraining variety of disturbing factor, like random noise, optic distortion, light intensity and so on. Due to the application of statistic and differential coefficient, the perfect outcome was realized. The results of experiments have indicated that the edge of complex image can be precisely abstracted and the drawbacks of traditional edge detection algorithm can be thoroughly overcome by means of this method.
Zhao, Xin,Wang, Jin-Peng,Tao, Xue-Heng Korea Multimedia Society 2006 멀티미디어학회논문지 Vol.9 No.12
A new frequency-modulated m-sequence correlation technique was described. It has. been seen that the frequency modulation scheme leads to higher signal-to-noise ratio than direct sequencing and less hardware effort than PSK modulation scheme. The operating frequency of the correlation system was deduced. The optimal frequency for the frequency-modulated m-sequence correlation system should be 1.35 times of the center frequency of the transducer. The application of this correlation technique to electromagnetic ultrasonic system was computer-simulated.
Hongtao Ma,Yuyang Zhao,Yiran Feng,이응주,Xue-Heng Tao 한국멀티미디어학회 2021 The journal of multimedia information system Vol.8 No.2
Under the time-varying temperature, the high-temperature radiation of forgings and the change of reflection characteristics of oxide skin on the surface of forgings lead to the difficulty of obtaining images to truly reflect the geometric characteristics of forgings. It is urgent to study the clear and reliable acquisition method of hot forging feature image under time-varying temperature to meet the requirements of visual measurement of hot geometric parameters of forgings. Based on this, this chapter first puts forward the quality evaluation method of forging feature image, which provides guarantee for the accurate evaluation of feature image quality. Furthermore, the factors that affect the image quality, such as the radiation characteristics of forgings and the photographic characteristics of cameras, are analyzed, and the imaging spectrum which can effectively suppress the radiation intensity of forgings is determined. Finally, aiming at the problem that the quality of image acquisition is difficult to guarantee due to the drastic change of radiation intensity of forgings under time-varying temperature, an image acquisition method based on minimum signal-to-noise ratio (SNR) based laser light intensity adaptation is proposed, which significantly improves the definition of feature light strips in forging images at high temperature, and finally realizes the clear acquisition of feature images of large-scale hot forging under time-varying temperature.
Xin Zhao,Jin-Peng Wang,Xue-Heng Tao 한국멀티미디어학회 2006 한국멀티미디어학회 국제학술대회 Vol.2006 No.-
A new frequency-modulated m-sequence correlation technique was described. It has been seen that the frequency modulation scheme leads to higher signal-to-noise ratio than direct sequencing and less hardware effort than PSK modulation scheme. The operating frequency of the correlation system was deduced. The optimal frequency for the frequency-modulated m-sequence correlation system should be 1.35 times of the center frequency of the transducer. The application of this correlation technique to electromagnetic ultrasonic system was computer-simulated.
Construction of Abalone Sensory Texture Evaluation System Based on BP Neural Network
Xiaochen Li,Yuyang Zhao,Renjie Li,Ning Zhang,Xue-Heng Tao,이응주 한국멀티미디어학회 2019 멀티미디어학회논문지 Vol.22 No.7
The effects of different heat treatments on the sensory characteristics of abalones are studied in this study. In this paper, the sensory evaluation of abalone samples under different heat treatment conditions is carried out, and the evaluation results are analyzed. The three-dimensional (3D) scanning and reverse engineering are used in tooth modeling of the sensory evaluation of abalone samples under different heat treatment conditions. Besides, the chewing movement models are simplified into three modes, including the cutting mode, compressing mode and grinding mode, which are simulated using finite element simulation. The elastic modulus of the abalone samples is obtained through the compression testing using a texture analyzer to distinguish their material properties under different heat treatments and to obtain simulated mechanical parameters. Finally, taking the mechanical parameters of the finite element simulation of abalone chewing as input and sensory evaluation parameters as the output, BP neural network is established in which the sensory texture evaluation model of abalone samples is obtained. Through verification, the neural network prediction model can meet the requirements of food texture evaluation, with an average error of 9.12%.