myEntropy: A File Type Identification Tool Using Entropy Scoring

Author(s):  
NURUL HIDAYAH A.B. RAHMAN ◽  
Kamaruddin Malik Mohamad ◽  
Tay Xin Hui
Keyword(s):  
EDIS ◽  
2017 ◽  
Vol 2017 (3) ◽  
Author(s):  
Mark A. Ritenour ◽  
Jamie D. Burrow ◽  
Megan M Dewdney ◽  
John Zhang

This is a quick identification tool of citrus blemishes and fruit decay caused by fungi and bacteria in Florida citrus. Original publication date May 2017. 


IAWA Journal ◽  
2011 ◽  
Vol 32 (2) ◽  
pp. 221-232 ◽  
Author(s):  
Carolina Sarmiento ◽  
Pierre Détienne ◽  
Christine Heinz ◽  
Jean-François Molino ◽  
Pierre Grard ◽  
...  

Sustainable management and conservation of tropical trees and forests require accurate identification of tree species. Reliable, user-friendly identification tools based on macroscopic morphological features have already been developed for various tree floras. Wood anatomical features provide also a considerable amount of information that can be used for timber traceability, certification and trade control. Yet, this information is still poorly used, and only a handful of experts are able to use it for plant species identification. Here, we present an interactive, user-friendly tool based on vector graphics, illustrating 99 states of 27 wood characters from 110 Amazonian tree species belonging to 34 families. Pl@ntWood is a graphical identification tool based on the IDAO system, a multimedia approach to plant identification. Wood anatomical characters were selected from the IAWA list of microscopic features for hardwood identification, which will enable us to easily extend this work to a larger number of species. A stand-alone application has been developed and an on-line version will be delivered in the near future. Besides allowing non-specialists to identify plants in a user-friendly interface, this system can be used with different purposes such as teaching, conservation, management, and selftraining in the wood anatomy of tropical species.


2016 ◽  
Vol 97 (6) ◽  
pp. 1307-1315 ◽  
Author(s):  
Elangovan Dilipan ◽  
Jutta Papenbrock ◽  
Thirunavakkarasu Thangaradjou

In India 14 seagrass species can be found with monospecific genera (Enhalus, ThalassiaandSyringodium),Cymodoceawith two species andHalophilaandHalodulerepresented by more than two taxonomically complex species. Considering this, the present study was made to understand the level and pattern of genetic variability among these species collected from Tamilnadu coast, India. Random amplified polymorphic DNA (RAPD) analysis was used to evaluate the level of polymorphism existing between the species. Out of the 12 primers tested, 10 primers amplified 415 DNA fragments with an average of 41.5 fragments per primer. Of the total 415 amplified fragments only 123 (29.7%) were monomorphic and the remaining 292 (70.3%) were polymorphic for Indian seagrass species. Among the 10 primers used four are identified as the key primers capable of distinguishing all the Indian seagrasses with a high degree of polymorphism and bringing representative polymorphic alleles in all the tested seagrasses. From the present investigation, this study shows that the RAPD marker technique can be used not only as a tool to analyse genetic diversity but also to resolve the taxonomic uncertainties existing in the Indian seagrasses. The efficiency of these primers in bringing out the genetic polymorphism or homogeneity among different populations of theHalophilaandHalodulecomplex still has to be tested before recommending these primers as an identification tool for Indian seagrasses.


2013 ◽  
Vol 457-458 ◽  
pp. 1224-1227
Author(s):  
Jian Feng Hu ◽  
Zhen Dong Mu

Mobile equipment has now become a new platform for information exchange, spend a lot of information exchange, how to effectively protect the mobile platform information security? Research has shown that, EEG signal can be used as identification tool, the user's information protection and good, this paper to protect the information security of mobile devices to research how to use EEG; the EEG signal is feasible for mobile equipment identification.


2021 ◽  
Vol 25 (6) ◽  
pp. 389-399
Author(s):  
Santosh Kumar Behera ◽  
Sandeep Kasaragod ◽  
Gayathree Karthikkeyan ◽  
Chinmaya Narayana Kotimoole ◽  
Rajesh Raju ◽  
...  

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