scholarly journals Sound recognition and tracking system design using robust sound extraction section

Author(s):  
Woo-Jun Kim ◽  
Young-Sub Kim ◽  
Gwang-Seok Lee
Author(s):  
Allan Soon Chan Roong ◽  
Shin-Horng Chong

This paper presents the design and development of a laboratory-scale single axis solar tracking system. The chronological method was implemented into the system because it has high accuracy and can save more energy as compared to other types of solar tracking system. The laboratory-scale single axis solar tracking system can be used to identify the suitable and safe workspace for the installation of the actual solar tracking system plant. Besides, the validity of the laboratory-scale single axis solar tracking system was examined experimentally. The angle of rotation, per hour is preferable to be implemented into the designed laboratory-scale single axis sun tracking system due to the high performance ratio which is 0.83 and can save the energy up  to 25% during sunny days.


2012 ◽  
Vol 608-609 ◽  
pp. 70-73
Author(s):  
Jun Feng Zhu ◽  
Yue Wen Liu ◽  
Wen Bing Liu

In order to improve the solar energy utilization, in the respect of technology, we should perfect solar tracking devices, realization of the sunlight is always vertical to the solar panels. This paper is to design a kind of solar automatic tracking system. Design adopts the traditional photoelectric tracking method, with the FPGA as the core, and by using the methods of scheduled monitoring, achieve precise control of stepping motor, thereby promoting the solar panels rotate remains vertical to the sun, which can effectively improve the efficiency of solar power systems.


2013 ◽  
Vol 02 (02) ◽  
pp. 16-20 ◽  
Author(s):  
Xiaoshan Jin ◽  
Guoqiang Xu ◽  
Rongjiu Zhou ◽  
Xiang Luo ◽  
Yongkai Quan

Author(s):  
Qianqian Cai ◽  
Chang Peng ◽  
Juan C. Prieto ◽  
Alan J. Rosenbaum ◽  
Jeffrey S. A. Stringer ◽  
...  

Author(s):  
G.S. Mahalakshmi ◽  
S. Sendhilkumar

Automatic reference tracking involves systematic tracking of reference articles listed for a particular research paper by extracting the references of the input seed publication and further analyzing the relevance of the referred paper with respect to the seed paper. This tracking continues recursively with every reference paper being assumed as seed paper at every track level until the system finds any irrelevant (or far relevant) references deep within the reference tracks which does not help much in the understanding of the input seed research paper at hand. The relevance is analysed based on the keywords collected from the title and abstract of the referred article. The objective of the reference tracking system is to automatically list down closely relevant reference articles to aid the understanding of the seed paper thereby facilitating the literature survey of the aspiring researcher. This paper proposes the system design and evaluation of automatic reference tracking system discussing the observations obtained.


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