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Copyright of Forensic Science & Technology is the property of Institute of Forensic Science, Ministry of Public Security and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Signal Processing is the property of Journal of Signal Processing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The horizontal features of vehicle bottom and the vertical features of both sides of vehicle are selected, and the local features of gray scale and its gradient and variation, which are less affected by global gray scale, are extracted. The horizontal and vertical features of vehicle are fused respectively by applying weighted evidence theory, and the weight of each feature is adjusted according to different light intensity. For improving the realtimeness of identification, artificial fish swarm algorithm is applied, and a vehicle identification module is added to enhance the guiding ability of artificial fishes. Based on search results and further judgment by symmetric feature, the accurate positioning of front vehicle is realized. Experiment results show that the technique proposed can accurately identify front vehicles under different lighting conditions with good adaptability, accuracy and realtimeness. [ABSTRACT FROM AUTHOR]

Copyright of Forensic Science & Technology is the property of Institute of Forensic Science, Ministry of Public Security and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Data Acquisition & Processing / Shu Ju Cai Ji Yu Chu Li is the property of Editorial Department of Journal of Nanjing University of Aeronautics & Astronautics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Forensic Science & Technology is the property of Institute of Forensic Science, Ministry of Public Security and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Pharmaceutial Care & Research is the property of Editorial Board of Pharmaceutial Care & Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Tractor and implement system travels on the road at a high speed, due to the system's severe vibration, the guide wheel's static load becomes smaller and the tractor's steering stability becomes poor, and so it is easy to cause the accident. Moreover, the vibration characteristic's research of tractor and implement system is mainly concentrated in the field of operation state, but the vibration characteristic in the transportation condition is less involved. To study the influence of implement's mass on vibration characteristics of tractor and implement system, taking the CF700 tractor as the research object, combining the method of simulation with test verification, the tractor and implement system vibration model and simulation model were built up. The key parameters of CF700 tractor were measured in the self-developed experimental station. The biggest mass of the implement and the system's mass attribute parameters were determined by calculation. At different speeds, the implement's mass was changed, and the simulation was conducted using the Matlab software. Some results were obtained which included the natural frequency of vibration system in vertical and pitch directions, the acceleration root mean square (RMS) of seat in vertical direction, the angle acceleration RMS of seat in pitch direction, the front tire's dynamic load coefficient and the rear tire's dynamic load coefficient. The experiment was conducted in the identification station of Jiangsu Province. The terms of experiment were equivalent to the condition for the simulation. Through the comparison with experimental results, the simulation results were confirmed to be accurate and meet the requirement of the research. It was shown that, the natural frequency of vibration system in vertical and pitch directions decreases with the increase of the implement mass. In addition, compared with the natural frequency in vertical direction, that in pitch direction decreases faster. The vertical natural frequency reduces to 2.74 Hz from 3.42 Hz and the pitch natural frequency reduces to 1.78 Hz from 3.07 Hz. At same speed, the acceleration RMS of seat in vertical and pitch directions decreases with the increase of the implement mass. The acceleration RMS in vertical and pitch directions is concentrated in 1.5-3 m/s2 and 1.5-2.5 m/s2 ranges, respectively. The front tire's dynamic load coefficient increases with the increase of the implement mass at same speed. It increases to 0.33 from 0.09. The static load of the front tire decreases gradually with the increase of the implement's mass, and the probability that the front tire departs from the ground increases, which has a serious impact on driving safety. Compared with the front tire's dynamic load coefficient, the rear tire's dynamic load coefficient is much smaller. When the speed is slow, the rear tire's dynamic load coefficient decreases slightly from 0.06 to 0.03 with the increase of the implement mass, and when the speed is fast, the rear tire's dynamic load coefficient increases gradually from 0.06 to 0.17 with the increase of the implement mass. The excessive tire dynamic load will compact field soils and destroy the farmland's ecological environment and crop yield. The conclusion provides an important reference for the design of tractor vibration system. [ABSTRACT FROM AUTHOR]