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Sylwia Mikołajczyk, Zbigniew Broda, Danuta Mackiewicz, Dorota Weigt, Agnieszka Tomkowiak and Jan Bocianowski
Breeding work using European rye populations has resulted in a considerable reduction of genetic variation in breeding materials of that species. Many taxa from the genus Secale may constitute a potential source of genetic variation in rye breeding. A source of new genetic variation can be found in such species as Secale montanum and Secale vavilovii, which are sources of resistance to fusarium ear blight and septoria leaf blotch, while Secale vavilovii may also be a source of sterilising cytoplasm. The aim of this study was to assess the efficiency of crossing the wild species Secale vavilovii and the rye subspecies Secale cereale subsp. afghanicum, Secale cereale subsp. ancestrale, Secale cereale subsp. dighoricum, Secale cereale subsp. segetale with the crop species Secale cereale ssp. cereale, and to produce F1 hybrids and describe selected morphological traits. Observations of biometric traits indicate that the F1 crosses produced may be potential sources of variation for common rye. The greatest variation in terms of all analysed phenotypic traits combined was found for the cross combinations S. c. ssp. cereale cv. Amilo × S. c. ssp. ancestrale and S. c. ssp. cereale cv. Dańkowskie Diament × S. c. ssp. dighoricum. The hybrids showed considerable variation in the analysed biometric traits within individual cross combinations.
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The paper is outlining an experimentally created framework for multiple human biometrics fusion in support to constantly evolving complex cyberthreats landscape identification. A “scenario method” approach, in combination with experts’ based decision support and users’ biometric “validation-in-advance”, are considered. Practical examples are also given to the proposed ideas, providing a comprehensive outlook to the problem.
Remarks on the taking and recording of biometric measurements in bird ringing
Ringing operations hold opportunities for introducing error into biometric recording. This situation needs to be addressed by field workers, data processors and archivists. Avoidable error may be systematic and/or random, and adds "noise" to random error from natural variation. Handling techniques and measuring equipment are responsible for introducing systematic errors in fieldwork. This aspect requires an increased level of professionalism among ringers to correct it. Analysis of data can induce further random error, e.g. when generating indices from measurements. Analysts also need to be aware of pitfalls inherent in field data, especially that collected historically.
Michał Włodarczyk, Paweł Krotewicz, Damian Kacperski, Wojciech Sankowski and Kamil Grabowski
.J. (2010, September). Identifying useful features for recognition in near-infrared periocular images. In Biometrics: Theory Applications and Systems (BTAS), 2010 Fourth IEEE International Conference on (pp. 1-8). IEEE
 Hollingsworth, K.P., Darnell, S.S., Miller, P.E., Woodard, D.L., Bowyer, K.W., Flynn, P.J. (2012). Human and machine performance on periocular biometrics under near-infrared light and visible light. IEEE transactions on information forensics and security , 7(2), 588-601
 Hurley, D.J., Nixon, M.S., Carter, J.N. (2000). A new force
The process of pattern recognition in the biometrics is particularly important. The patterns can differ from each other a lot, and even the samples can be significantly different from the templates. The Artificial Neural Networks can be applied as a universal approximator to recognize the patterns with more flexibility. However the topology of the networks determines the processing time and complexity of the hardware of the physical environments. The Genetic Algorithms can be used with success in optimization problems like in this situation, the topology of the neural network is more optimal if we apply the Genetic Algorithms. This study introduce an algorithm in which a tailor made algorithm correcting the topology to enhance the effectiveness of the process.