204,257 research outputs found
Stability conditions on Kuznetsov components
We introduce a general method to induce Bridgeland stability conditions on
semiorthogonal components of triangulated categories. In particular, we prove
the existence of Bridgeland stability conditions on the Kuznetsov component of
the derived category of Fano threefolds and of cubic fourfolds. As an
application, in the appendix, written jointly with Xiaolei Zhao, we give a
variant of the proof of the Torelli theorem for cubic fourfolds by Huybrechts
and Rennemo.Comment: 53 pages. Appendix about the Torelli theorem for cubic fourfolds by
A. Bayer, M. Lahoz, E. Macr\`i, P. Stellari, and X. Zhao. Final version to
appear in Ann. Sci. \'Ec. Norm. Sup\'e
Messor variabilis Kuznetsov-Ugamsky 1927
Messor variabilis Kuznetsov-Ugamsky, 1927 Material: 4 $, Alborz Range forest steppe, Golestan National Park (37°20'57''N, 56°14'44''E), 1254 m asl, 28.V2007, leg. Omid Paknia; 6?, Central Persian deserts, Kavir National Park (34°45'47''N, 52°10'24''E), 1051 m asl, 23.VI.2007, leg. Omid Paknia. Remarks: M. variabilis is distributed in plains and foothills of Central Asia, where it inhabits different kinds of deserts (Arnoldi 1970, 1977b; Dlussky et al. 1990).Published as part of Paknia, O., Radchenko, A. & Pfeiffer, M., 2010, New records of ants (Hymenoptera: Formicidae) from Iran., pp. 29-38 in Asian Myrmecology 3 on page 3
Backlund transformations for many-body systems related to KdV
We present Backlund transformations (BTs) with parameter for certain classical integrable n-body systems, namely the many-body generalised Henon-Heiles, Garnier and Neumann systems. Our construction makes use of the fact that all these systems may be obtained as particular reductions (stationary or restricted flows) of the KdV hierarchy; alternatively they may be considered as examples of the reduced sl(2) Gaudin magnet. The BTs provide exact time-discretizations of the original (continuous) systems, preserving the Lax matrix and hence all integrals of motion, and satisfy the spectrality property with respect to the Backlund parameter
Design of the Residual Adder of Two Numbers
It is known that an important and topical scientific and applied problem is the problem of constructing the structure of an adder operating in the residual number system (RNS). Such a non-positional adder for an arbitrary value mi of the RNS modulus is a sequential set of n= log 2 (m i-1)+1] binary one-bit adders (OBA), united by connections, like connections of positional binary adders. The use of additional connections made it possible to create an adder that implements the operation of adding two residues. A set of k adders modulo is an adder of two numbers in RNS. Specific examples of constructing structures of binary adders for various values of the RNS moduli are given
Stigmaeus pilatus Kuznetsov
<i>Stigmaeus pilatus</i> Kuznetsov <p> <i>Stigmaeus pilatus</i> Kuznetsov, 1978: 690; Kuznetsov & Petrov, 1984: 109; Khaustov & Kuznetsov, 1997: 83; Kazmierski, 2000: 323; Doġan & Ayyıldız, 2003c: 2; Doġan, 2007: 20; Erman, Özkan, Ayyıldız & Doġan, 2007: 10.</p> <p> <b>Materials examined.</b> 1 Ƥ from litter <i>Quercus</i> sp., 40°21'13'' N, 37°28'06'' E, 600 m, between Reşadiye-Niksar, 25 VIII 2007; 2 ƤƤ from debris, 40°03'53'' N, 38°35'27'' E, 1306 m, Gölova, 22 IX 2007; 3 ƤƤ from moss on tree, 40°27'06'' N, 37° 04' 28'' E, 380 m, Niksar, 14 XII 2007; 7 ƤƤ from litter under <i>Paliurus</i> sp., 40°38'37'' N, 36°37'38'' E, 300 m, between Erbaa-Niksar, 30 III 2008; 3 ƤƤ from moss and litter under <i>Pinus</i> sp., 40°38'37'' N, 36°37'38'' E, 300 m, between Erbaa-Niksar, 30 III 2008; 2 ƤƤ from litter under <i>Lamium galeobdolon</i>, 40°38'37'' N, 36°37'38'' E, 300 m, between Erbaa-Niksar, 30 III 2008; 1 Ƥ from litter under <i>Pinus</i> sp., 40°17'38'' N, 39°34'03'' E, 1919 m, Köse, 29 IV 2008; 1 Ƥ from moss on soil, 40°10'34'' N, 39°06'52'' E, 1371 m, Şiran, 27 VII 2007; 2 ƤƤ from moss on soil, 40°17'44'' N, 37°41'45'' E, 768 m, Koyulhisar, 11.05.2008; 1 Ƥ from litter under <i>Astragalus</i> sp., 40°17'44'' N, 37°41'45'' E, 768 m, Koyulhisar, 11 V 2008; 3 ƤƤ from moss under forest floor, 40°38'34'' N, 36°37'40'' E, 313 m, between Erbaa-Taşova, 11 V 2008; 1 Ƥ from moss and lichen on litter, 40°16'25'' N, 39°35'50'' E, 1845 m, Köse Mountain, 16 XI 2008; 2 ƤƤ from lichen on soil, 40°17'74'' N, 37°41'77'' E, 766 m, Koyulhisar, 17 V 2009; 2 ƤƤ from moss on soil, 40°17'74'' N, 37°41'77'' E, 766 m, Koyulhisar, 17 V 2009; 1 Ƥ from decayed bark of tree, 40°23'69'' N, 37°17'45'' E, 514 m, Reşadiye, 17 V 2009; 3 ƤƤ from lichen on soil, 40°45'11'' N, 36°19'66'' E, 280 m, Taşova, 17 V 2009; ZMAU.</p> <p> <b>Distribution.</b> The Baltic States, Iran and Turkey (Kuznetsov 1978; Kuznetsov & Petrov 1984; Khaustov & Kuznetsov 1997; Kazmierski 2000; Doġan & Ayyıldız 2003c; Doġan 2007; Erman <i>et al</i>. 2007; Rostami <i>et al</i>. 2010a, b).</p> <p> <b>Remarks.</b> This species can be distinguished from related species by the following characters: eyes present, post-ocular bodies large, dorsal shields smooth, median zonal and intercalary shields divided, marginal shields large, suranal shield entire, dorsal body setae unequal in length, median shield with two pairs of setae, <i>h</i> 3 absent, one pair of genital and three pairs of aggenital setae, setal formulas of genua and femora 4(κ)–4(κ)–1–1, 6–4–3–2 respectively. Our specimens exhibit all characters of <i>S. pilatus.</i></p>Published as part of <i>Dönel, Güldem & Doğan, Salih, 2011, The stigmaeid mites (Acari: Stigmaeidae) of Kelkit Valley (Turkey), pp. 1-56 in Zootaxa 2942</i> on pages 49-50, DOI: <a href="http://zenodo.org/record/201260">10.5281/zenodo.201260</a>
Convolutional Neural Networks to Protect Against Spoofing Attacks on Biometric Face Authentication
Modern technologies of authentication and authorization of access play a significant role in ensuring the protection of information in various practical applications. We consider the most convenient and used in modern mobile gadgets face authentication, ie when the primary information to provide access are certain features of biometric images of the user’s face. Most of the systems use intelligent processing of biometric images, in particular, artificial intelligence technology and deep learning. But at the same time, as always in cybersecurity, technologies for violating biometric authentication are being studied and researched. In particular, to date, the most common attack is substitution (spoofing), ie when attackers use pre-recorded biometric images to gain unauthorized access to critical information. For example, this could be a photo and/or video image of a person used to unlock their smartphone. Protection against such attacks is very difficult, because it involves the development and study of technologies for detecting signs of life. The most promising in this direction are artificial intelligence techniques, in particular, convolutional neural networks (CNN). This is the practical application of intelligent processing of biometric images and is studied in this article. We review various CNN settings and configurations and experimentally investigate their effect on the effectiveness of signs of life detection. For this purpose, success and failure indicators of the first and second kind are used, which are estimated by the values of cross entropy. These are reliable and reproducible indicators that characterize the effectiveness of protection against spoofing attacks on biometric authentication on the face. The world-famous TensorFlow and OpenCV libraries are used for field experiments, photos and videos of various users are used as source data, including Replay-Attack Database from Idiap Research Institute
Ledermuelleriopsis toleratus Kuznetsov
<i>Ledermuelleriopsis toleratus</i> Kuznetsov <p> <i>Ledermuelleriopsis toleratus</i> Kuznetsov, 1977b: 635; Doġan, 2004b: 142, 2007: 18; Erman, Özkan, Ayyıldız & Doġan, 2007: 8.</p> <p> <b>Materials examined.</b> 1 Ƥ from moss on tree, 40°27'06'' N, 37°04'28'' E, 380 m, Niksar, 14 XII 2007; 1 Ƥ from lichen on soil, 40°39'47'' N, 36°40'32'' E, 324 m, Erbaa, 15 III 2008; 1 Ƥ from litter under <i>Pinus</i> sp., 40°17'38'' N, 39°34'03'' E, 1919 m, Köse, 29 IV 2008; 1 Ƥ from grassy soil, 40°41'33'' N, 36°30'13'' E, 253 m, between Erbaa- Taşova, 27 IV 2008; 1 Ƥ from litter under <i>Astragalus</i> sp., 40°17'44'' N, 37°41'45'' E, 768 m, Koyulhisar, 11 V 2008; 3 ƤƤ from litter under <i>Astragalus</i> sp., 40°18'17'' N, 37°34'55'' E, 1104 m, Reşadiye, 11 V 2008; 1 Ƥ from lichen on soil, 40°25'46'' N, 37°07'47'' E, 479 m, between Erbaa-Taşova, 11 V 2008; 1 Ƥ from bark of <i>Pinus</i> sp., 40°24'16'' N, 37°20'44'' E, 2100 m, Reşadiye, 25 IV 2009; 9 ƤƤ from decayed bark of tree, 40°24'83'' N, 37°20'11'' E, 2482 m, Reşadiye, 25 VI 2009; 2 ƤƤ from litter under <i>Quercus</i> sp., 40°25'62'' N, 37°07'65'' E, 1890 m, between Reşadiye- Niksar, 25 IV 2009; 1 Ƥ from moss on soil, 40°39'90'' N, 36°39'40'' E, 712 m, Taşova, 25 IV 2009; 1 Ƥ from litter under <i>Quercus</i> sp., 40°17'56'' N, 37°41'71'' E, 799 m, Koyulhisar, 17 V 2009; ZMAU.</p> <p> <b>Distribution.</b> Crimea and Turkey (Kuznetsov 1977b; Doġan 2004b, 2007; Erman <i>et al</i>. 2007).</p> <p> <b>Remarks.</b> This species, known from Crimea and Turkey, can be characterized by virtue of the differing forms of the dorsal body setae (Kuznetsov 1977b; Doġan 2004b). Our specimens identified as <i>L. toleratus</i> exhibit all the characters of other known specimens of the species.</p>Published as part of <i>Dönel, Güldem & Doğan, Salih, 2011, The stigmaeid mites (Acari: Stigmaeidae) of Kelkit Valley (Turkey), pp. 1-56 in Zootaxa 2942</i> on pages 32-33, DOI: <a href="http://zenodo.org/record/201260">10.5281/zenodo.201260</a>
Messor incorruptus Kuznetsov-Ugamsky 1929
86. M. incorruptus Kuznetsov-Ugamsky, 1929 Syn.: Messor aegyptiacus var. incorruptus Ruzs. Distribution: E.G.: Kojori, Tbilisi (Ruzsky, 1905); S.G.: Abastumani, Akhaltsikhe (Ruzsky, 1905).Published as part of Gratiashvili, N. & Barjadze, S., 2008, Checklist of the ants (Formicidae Latreille, 1809) of Georgia., pp. 130-146 in Proceedings of the Institute of Zoology 23 on page 13
Performance Evaluation of the Classic McEliece Key Encapsulation Algorithm
In late 2016, the US NIST announced a post-quantum cryptography open competition to select public-key cryptoalgorithms (digital signature, asymmetric encryption, and key encapsulation) suitable for use when quantum computing is widely available. Based on the results of the 2nd round of the competition, several solutions were selected that could potentially be standardized as post-quantum cryptographic algorithms. In this article, we are looking at one of the bids based on codes. The Classic McEliece key encapsulation algorithm is a variant of the well-known (over 40 years) public key cryptosystem in codes. We investigate the various characteristics of the Classic McEliece, in particular, we provide estimates of its performance using various computing platforms and testing technologies
Rhopaltriplasia insignata Kuznetsov 1997
Rhopaltriplasia insignata Kuznetsov, 1997 (Figs. 1, 2, 3) Rhopaltriplasia insignata Kuznetsov, 1997: 797, figs. 1–2. Material examined. CHINA: Zhejiang Province: Mt. Tianmu (30 ° 26 ' N, 119 ° 34 ' E), 3 ɗ, alt. 1500 m, 18.viii. 1999; 1 &, 350 m, 20.viii. 1999 (Houhun Li). Diagnosis. This is the only species in the genus for which a female is known. Rhopaltriplasia insignata (described from Vietnam) is very similar to R. macrorhis, R. rotundipetalina sp. n., and R. spinalis sp. n. It can be distinguished easily from R. macrorhis by the shorter valva, which does not reach the apex of the uncus; in contrast, the valva is very long and exceeds the apex of the uncus in the latter species. Differences between R. insignata and the two new species described here are stated below. Adult (Fig. 1): Forewing length 5.5–5.9 mm. Male genitalia (Fig. 2): As illustrated. Female genitalia (Fig. 3): As illustrated. Distribution. China (Zhejiang), Vietnam.Published as part of Yu, Haili & Li, Houhun, 2005, First record of the genus Rhopaltriplasia Diakonoff from China, with description of two new species (Lepidoptera: Tortricidae: Olethreutinae), pp. 29-35 in Zootaxa 1082 on page 31, DOI: 10.5281/zenodo.27330
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