Improvement of AR Code Decoding Algorithm Based on the LLR Information Value

Author(s):  
Huang Jia-jia ◽  
Lei Jing ◽  
Huang Ying ◽  
Yu Yang ◽  
Zhang Yu-xin
2004 ◽  
Author(s):  
Joan E. Ricart-Costa ◽  
Brian Subirana ◽  
Josep Valor-Sabatier

Author(s):  
V. V. Goncharova

The increasing interest towards abstracting as a type of analytical and synthetical information processing due to science globalization trend, is emphasized. The professionals who study this primary information compression are bibliographers, linguists, and information specialists. The author argues that modern professors and students all have to and must learn abstracting in accordance with the international standards for scientific, research, reference and instructional works.The author points to the diversity of the national lexicographical studies and, based on the abstracts index obtained as a result of her study, characterizes the current trends in abstracting linguistic dictionaries. The key user groups are defined. Publishers’ abstracts of dictionaries are discussed and represented. The example of dictionary Internet-based abstract analysis is given (50 items). Based on the abstracts texts, main negative factors to impact information value of this secondary information source are revealed, that is: lacking data essential for users, incomplete description of targeted readership, etc.The author introduces a model plan for digital guides of Russian lexicographical works and complements the plan with the systematic aspect analysis. She concludes that abstracting is an intellectually intensive process. It is underexplored as far as lexicographical works are concerned, and offers many possibilities for further studies.


2013 ◽  
Vol 32 (8) ◽  
pp. 2113-2115
Author(s):  
Zheng LI ◽  
Chun-lin SONG ◽  
Yun-jie ZHAO ◽  
Zhu-jia WU

2011 ◽  
Vol 30 (7) ◽  
pp. 1588-1590 ◽  
Author(s):  
Ji-ping Li ◽  
Fu-hua Yang ◽  
Tuan-feng Wu
Keyword(s):  

2011 ◽  
Vol 33 (10) ◽  
pp. 2300-2305
Author(s):  
Xiao-tao Wang ◽  
Hua Qian ◽  
Jing Xu ◽  
Yang Yang

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