| 查看: 561 | 回复: 6 | |||
| 本帖产生 1 个 LS-EPI ，点击这里进行查看 | |||
[求助]
是否检索，请提供详细EI信息
|
|||
|
文Direction Identification System of Garlic Clove Based on Machine Vision和文Path Control Experiment of Mobile Robot based on Supervised Learning |
回复此楼» 猜你喜欢
国家基金申请书模板内插入图片不可调整大小?
已经有9人回复
-
退学或坚持读
已经有20人回复
-
免疫学博士有名额，速联系
已经有14人回复
-
面上基金申报没有其他的参与者成吗
已经有4人回复
-
多组分精馏求助
已经有6人回复
-
国家级人才课题组招收2026年入学博士
已经有6人回复
jssxh
至尊木虫 (知名作家)
- LS-EPI: 30
- 应助: 64 (初中生)
- 贵宾: 0.273
- 金币: 44678.6
- 散金: 605
- 红花: 98
- 帖子: 5844
- 在线: 710.4小时
- 虫号: 233249
- 注册: 2006-03-29
- 专业: 有机合成
2楼2014-03-15 16:16:02
3楼2014-03-15 16:44:15
jssxh
至尊木虫 (知名作家)
- LS-EPI: 30
- 应助: 64 (初中生)
- 贵宾: 0.273
- 金币: 44678.6
- 散金: 605
- 红花: 98
- 帖子: 5844
- 在线: 710.4小时
- 虫号: 233249
- 注册: 2006-03-29
- 专业: 有机合成
4楼2014-03-17 09:22:01
5楼2014-03-17 13:32:44
6楼2014-03-17 13:34:05
Bugatti
铁杆木虫 (文坛精英)
- LS-EPI: 21
- 应助: 29 (小学生)
- 贵宾: 8.728
- 金币: 8277.8
- 散金: 148668
- 红花: 444
- 沙发: 35
- 帖子: 17110
- 在线: 3266.2小时
- 虫号: 1423358
- 注册: 2011-09-30
- 专业: 应用高分子化学与物理
【答案】应助回帖
★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★
感谢参与，应助指数 +1
wwwgc119: 金币+18, 谢谢 2014-03-17 17:30:38
oven1986: 检索EPI+1, 感谢小木应助，鼓励一下。 2014-03-17 17:40:48
感谢参与，应助指数 +1
wwwgc119: 金币+18, 谢谢 2014-03-17 17:30:38
oven1986: 检索EPI+1, 感谢小木应助，鼓励一下。 2014-03-17 17:40:48
|
Accession number: 20132116364180 Title: Direction identification system of garlic clove based on machine vision Authors: Chi, Gao1 Email author wwwgc119@163.com; Hui, Gao1 Email author gaohui_l@163.com Author affiliation: 1 Laiwu Vocational and Technical College, Phoenix northbound High-tech Zone of City Laiwu, Province Shandong, China Corresponding author: Chi, G. (wwwgc119@163.com) Source title: Telkomnika - Indonesian Journal of Electrical Engineering Abbreviated source title: Telkomnika Indonesian J. Elect. Eng. Volume: 11 Issue: 5 Issue date: May 2013 Publication year: 2013 Pages: 2323-2329 Language: English ISSN: 23024046 E-ISSN: 2087278X Document type: Journal article (JA) Publisher: Universitas Ahmad Dahlan, Jalan Kapas 9, Semaki, Umbul Harjo,, Yogiakarta, 55165, Indonesia Abstract: In order to fulfill the requirements of seeding direction of garlic cloves, the paper proposed a research method of garlic clove direction identification based on machine vision, it expounded the theory of garlic clove direction identification, stated the arithmetic of it, designed the direction identification device of it, then developed the control system of garlic clove direction identification based on machine vision, at last tested the garlic clove direction identification, and the result of the experiment certificated that the rate of garlic clove direction identification could reach to more than 97%, and it demonstrated that the research is of high feasibility and technological values. © 2013 Universitas Ahmad Dahlan. Number of references: 15 Main heading: Computer vision Uncontrolled terms: Garlic clove - research methods Classification code: 723.5 Computer Applications Database: Compendex Compilation and indexing terms, © 2013 Elsevier Inc. Accession number: 20134616987929 Title: Path control experiment of mobile robot based on supervised learning Authors: Chi, Gao1, 2 Email author wwwgc119@163.com; Zhou, Luo Min2; Heng, Zhang1 Author affiliation: 1 Mechanical and Electronic Department of Laiwu Vocational and Technical College, Laiwu, Shandong Province, 271100, China 2 Institute of Advanced Manufacturing and Technology, Hefei Institute of Physical Science, Chinese Academy of Sciences, Changzhou, Jiangsu Province, 213164, China Corresponding author: Chi, G. (wwwgc119@163.com) Source title: Telkomnika - Indonesian Journal of Electrical Engineering Abbreviated source title: Telkomnika Indonesian J. Elect. Eng. Volume: 11 Issue: 12 Issue date: December 2013 Publication year: 2013 Pages: 7533-7538 Language: English ISSN: 23024046 E-ISSN: 2087278X Document type: Journal article (JA) Publisher: Universitas Ahmad Dahlan, Jalan Kapas 9, Semaki, Umbul Harjo,, Yogiakarta, 55165, Indonesia Abstract: To solve the weak capacity and low control accuracy of the robots which adapt to the complexworking conditions, proposed that a path control method based on the driving experience and supervised learning. According to the slope road geometry characteristics, established the modeling study due toramp pavement path control method and the control structure based on monitoring and self-learning.Made use of the Global Navigation Satellite System did the experiment. The test data illustrates thatwhen the running speed is not greater than 5 m/s, the straight-line trajectory path transverse verticaldeviation within 20cm, which proved that the control method has a high feasibility. © 2013 Universitas Ahmad Dahlan. Number of references: 15 Main heading: Supervised learning Controlled terms: Experiments - Mobile robots Uncontrolled terms: Control accuracy - Control methods - Control structure - Driving experiences - Global Navigation Satellite Systems - Path control methods - Route control - Slope path Classification code: 731.5 Robotics - 901.3 Engineering Research Database: Compendex Compilation and indexing terms, © 2013 Elsevier Inc. |
7楼2014-03-17 14:35:52