216 research outputs found
Primofavilla aegyptiaca Elsayed, new species
No full textPrimofavilla aegyptiaca Elsayed, new species Adult description. Color of freshly emerged females: head black, antennae brown, thorax dark brown, wings transparent, legs light brown, upper and lower parts of abdomen black, lateral parts red and covered with scales. Body length. 1.8 mm (n= 2) in female. Head (Fig. 19). Compound eyes with circular facets. Gap between eyes on vertex about 0-2 times as wide as facet. Palpi 2 -segmented, the second segment slender, elongated, slightly longer than the first. Antenna 2 + 10 - segmented; scape conical; pedicel rounded; flagellomeres barrel-shaped, each with two connected rings of circumfila, except the terminal flagellomere, with two sets of two connected rings of circumfila (Fig. 20). Thorax. Wing (Fig. 21) length about 1.5 mm (n= 2) in female; vein R 5 joining C at its mid-length; C broken beyond the junction point with R 5; M present; CuA simple. Tarsal claws (Fig. 22) curved and toothed. Empodia much shorter than claws, about as long as the small basal tooth. Female Abdomen. (Fig. 23): Tergites 1–7 rectangular, setulose, and with 1–2 posterior rows of strong setae; tergite 8 about 0.3 width of the tergite 7. Sternites 2–7 rectangular, setulose, with posterior row of hyaline setae. Ovipositor: segment 8 with lateral group of strong curved setae, the membranous part rugose with papillae surrounded with tiny spines. Lateral plate with ~ 26 strong, straight and thick setae. Aculeus curved and bare. Apical lamella oval, setose; the basal third of the dorsal margin covered with filiform short setae and the apical two thirds covered with short lanceolate setae. Holotype. Female, Egypt, Alexandria, El-Amria district (30 ° 59 '54.00"N, 29 ° 49 '7.00"E), 26.V. 2013, A. K. Elsayed, reared from leaf galls on leaves of Atriplex halimus. Paratypes. 1 female, 26.V. 2013, El-Amria district, Alexandria, reared by A. K. Elsayed from galls on leaves of Atriplex halimus. Distribution. Egypt, Alexandria, El-Amria district. Etymology. The name of that species is derived from Egypt. Biology. Larvae of P. aegyptiaca induce globular galls, 2-3 mm in diameter, on both surfaces of leaves (Fig. 8) of the salt marsh plant A. halimus. Each infested leaf has 2-6 galls, usually beyond the mid-rib. The galls were found in May and June 2013. The galls were collected and preserved in test tubes to rear the adult stage, but that method was not very successful, as only 2 females emerged and the pupation site was not determined. Another method was tested to rear the adults, the galls were collected and put in a plastic jar with soil at the bottom, but no adults emerged. Remarks. The three known species of Primofavilla, P. initialis Mamaev 1972, P. kaplini Fedotova 1991, and P. cystiphorae Fedotova 1991, are associated with Atriplex salina Siev., A. nana Parr-Sm., and A. tatarica L., respectively (Fedotova 1991 b, Gagné & Jaschhof 2014). The identification of Primofavilla species could be determined by the diagnostic morphological characters of the female ovipositor (Mamaev 1972, Fedotova 1991 b). The dorsal margin of the ovoid apical lobe of P. kaplini has only filiform setae, in contrast to P. aegyptiaca, P. cystiphorae and P. initialis, which have the filiform setae only on the basal third of the dorsal margin with the remaining setae either lanceolate (P. aegyptiaca and P. cystiphorae) or squamiform (P. initialis). Primofavilla aegyptiaca is closest to P. cystiphorae, but the former has dorsal and ventral sclerotized plates at the base of segment 9 of the female abdomen, while the latter does not. Primofavilla aegyptiaca also differs from P. cystiphorae in the distribution and number of strong setae on the lateral plate, which do not extend to the ventral side in P. aegyptiaca, unlike in P. cystiphorae. In addition to these differences, P. aegyptiaca has a bare saddle-like projection at the base of the aculeus. Therefore, P. aegyptiaca is considered to be a new species. Very similar galls were shown by De Stefani (1942) on the same host plant in Sicily, Italy, but the gall inducer was not identified, strongly suggesting the presence of P. aegyptiaca in Italy.Published as part of Elsayed, Ayman Khamis, Skuhravá, Marcela, Karam, Hedaya Hamza, Elminshawy, Abdelaziz & Al-Eryan, Mohamed Awad, 2015, New records and new species of gall midges (Diptera: Cecidomyiidae) developing on Chenopodiaceae in Egypt, pp. 105-115 in Zootaxa 3904 (1) on pages 111-112, DOI: 10.11646/zootaxa.3904.1.6, http://zenodo.org/record/23434
Stefaniella skuhravae Elsayed, new species
No full textStefaniella skuhravae Elsayed, new species Adult description. Color of freshly emerged individuals: head black, antennae light brown, thorax brown, wings transparent, legs light brown, upper and lower parts of abdomen light brown, lateral parts orange. Body length. 0.7 mm (n= 7) in males and 1.1 mm (n= 5) in females. Head (Fig. 24). Compound eyes with circular facets. Gap between eyes on vertex about 0.5-1.5 times as wide as facet. Palpi 2 –segmented, second segment elongated, nearly longer than the first. Antenna 2 + 9–10 flagellomeres; scape conical, pedicel rounded, flagellomeres barrel-shaped in both sexes; each with two connected rings of circumfila (Fig. 25); the apical two flagellomeres sometimes fused. Thorax.Wing (Fig. 26) length 0.6 mm (n= 7) in males and 1.0 mm (n= 5) in females. Vein R 5 joining C before its mid-length; C broken beyond the attachment point with R 5; M present; CuA simple. Tarsal claws (Fig. 27) toothed. Empodia as long as, or shorter than, claws. Abdomen, male. Tergites 1–7 rectangular, with a posterior row of strong, hyaline setae; tergites 2–7 with one pair of anterior, small, trichoid sensilla; tergite 8 very narrow, about 0.33 width of tergite 7, with median pair of trichoid sensilla. Sternites 1–7 with scattered setae, in addition to posterior row of strong hyaline setae; sternum 8 undifferentiated from the surrounding membranous tissue. Genitalia (Fig. 28): Gonocoxite slightly elongate, with setulose mediobasal lobe. Gonostylus 0.5 times as long as gonocoxite, arched, ending with a strong tooth. Cerci fused at base, forming one apically notched sclerite, setulose. Hypoproct entire, setulose, shorter than tips of cerci, with rounded tip. Parameres dorsally covered with dense tiny setae, and surrounding aedeagus. Aedeagus cylindrical, straight, slightly longer than parameres, with truncate tip. Female: (Fig. 29): Tergites 1–7 with 1–2 posterior rows of strong, hyaline, setae, and anterior trichoid sensilla; tergite 8 weakly sclerotized, about half width of tergite 7, divided into two sclerites. Sternites 2–7 with 1–2 posterior rows of hyaline setae. Ovipositor: segment 8 with lateral group of strong, curved, internally directed setae; membranous part rugose with papillae surrounded with tiny spines. Segment 9 (ovipositor trunk) with two sclerotized rods that widen posteriorly, forming weakly sclerotized triangular plate covered with tiny spines. Lateral plate bearing about 25 thick and strong setae. Aculeus straight, thick, tapered at apex, with two rows of tiny setae, every row consists of ~ 22 setae. Apical lamella rectangular and setose. Holotype. Female, Egypt, El-Amria district (30 ° 59 '54.00"N, 29 ° 49 '7.00"E), 4. VI. 2013, A. K. Elsayed reared from galls on male floral inflorescences of Atriplex halimus. Paratypes. All material from Egypt, El-Amria district, Alexandria, reared by A. K. Elsayed from galls on male floral inflorescences of A. halimus. 1 males, 12.VI. 2013; 1 male, 13.VI. 2013; 2 females, 14.VI. 2013; 2 females, 3 males, 16.VI. 2013; 4 males, 17.VI. 2013; 5 males, 2 females, 19.VI. 2013; 8 males, 20.VI. 2013; 1 female, 22.VI. 2013; 2 females, 24.VI. 2013. Distribution. Egypt (El-Amria district). Etymology. This species is named in honor of Mrs. Marcela Skuhravá, the Czech entomologist and expert on the family Cecidomyiidae (Diptera). Biology. Larvae of S. skuhravae induce small, slight swellings (Fig. 9 and 10) on male floral inflorescences of the salt marsh plant Atriplex halimus. The gall consists of a single chamber, and pupation takes place inside it. The pupal exuviae protrude from the emergence hole, and can be distinguished by their hyaline color. The galls were collected and the adults emerged from the end of May to October 2013. Remarks. The genus Stefaniella contains 9 species (Gagné & Jaschhof 2014). Dorchin & Freidberg (2008) revised all the species and found no significant differences between them in morphological characters. They concluded that study of the immature stages is needed, and molecular study will be useful to determine relationships between the species. They added that the currently the best characters for distinguishing species of Stefaniella are those of their galls. There are two known species of Stefaniella that induce galls on A. halimus: S. atriplicis Kieffer, 1898 and S. trinacriae De Stefani, 1900 (Dorchin & Freidberg 2008, Gagné & Jaschhof 2014). Stefaniella atriplicis induces small stem galls, each gall about 4–5 mm in diameter and multiple chambers (Skuhravá et al. 2007). Stefaniella trinacriae induces large galls on the stems, each gall about the size of a hazelnut and having multiple chambers. In contrast to the preceding species, S. skuhravae induces small galls on the male floral inflorescence, and each gall consists of only a single chamber. Therefore, we consider it to be a new species.Published as part of Elsayed, Ayman Khamis, Skuhravá, Marcela, Karam, Hedaya Hamza, Elminshawy, Abdelaziz & Al-Eryan, Mohamed Awad, 2015, New records and new species of gall midges (Diptera: Cecidomyiidae) developing on Chenopodiaceae in Egypt, pp. 105-115 in Zootaxa 3904 (1) on pages 112-114, DOI: 10.11646/zootaxa.3904.1.6, http://zenodo.org/record/23434
Baldratia karamae Elsayed and Skuhrava, new species
No full textBaldratia karamae Elsayed and Skuhravá, new species Adult description. Color (freshly emerged individuals): head black, antennae brown, thorax dark brown, wings smoky grey, legs light brown, upper and lower parts of abdomen dark brown, lateral parts red. Body length. 1.8 mm (n= 5) in female when the ovipositor not extended and 1.6 mm (n= 5) in male. Head (Fig. 11): Compound eyes with rounded facets, gap between eyes on vertex about 0-1 times as wide as facet. Palpi one-segmented; labella globular, setose, widely separated. Antenna 2 + 10 –segmented (n= 23), scape conical, pedicel rounded, flagellomeres 1–9 subequal, slightly longer than wide, each with two connected rings of circumfila in both sexes; male terminal flagellomere with circumfila arranged in a network pattern (Fig. 12); female terminal flagellomere (Fig. 13) consisting of the fusion of the three distal flagellomeres. Thorax: Wing (Fig. 14) length about 1.3 mm (n= 5) in male and 1.4 mm (n= 5) in female. Vein R 5 joining C approximately at mid-length; C broken behind the junction point with R 5; Sc and M present; CuA simple. Tarsal claws (Fig. 15) toothed and curved. Empodia shorter than claws. Hind legs of males much longer and thicker than fore- and midlegs of the female. Abdomen, Male: Tergites 1–7 rectangular with posterior row of setae; tergites 3–7 with anterior pair of trichoid sensilla. Tergite 8 about 0.3 times as wide as tergite 7. Sternites rectangular; sternites 1 and 3–5 with posterior row of setae; sternites 2, 6 and 7 with two posterior rows of setae. Genitalia (Fig. 16): Gonostylus about 0.6 times as long as gonocoxite, arched, setulose and setose, apically with blunt tooth. Gonocoxite wide, massive with scattered long setae. Mediobasal lobes small. Cerci fused, notched, setose and setulose, with rounded tips. Hypoproct entire, rounded apically. Aedeagus slender, and rounded at apex, surrounded with wide setulose parameres. Female (Fig. 17): Tergites 2–7 rectangular, with anterior pair of trichoid sensilla and posterior row of setae; tergite 8 about half tergite 7. Sternites rectangular; sternites 3–6 with posterior row of setae; sternites 6 and 7 with 1–2 posterior rows. Ovipositor (Fig. 18): segment 9 anteriorly with dorsal and ventral dark sclerotized patches, posteriorly with some hyaline setae; the two sclerotized rods widened basally. Lateral plate bears ~ 21 straight, hyaline, split setae. Aculeus concave ventrally, with three rows of strong, squamiform, apically hooked setae on the dorsal site. Sclerotized thin spine extends dorsally along the lateral plate. Apical lamella ovoid, densely covered with short setae. Holotype. Female, Egypt, El-Amria district (30 ° 59 '54.00"N, 29 ° 49 '7.00"E), 27.I. 2013, A. K. Elsayed, reared from pustule galls on leaves of Suaeda pruinosa. Paratypes. All from Egypt, Alexandria, and reared by A. K. Elsayed from leaf galls on Suaeda pruinosa. El- Amria district: 2 females, 1 male, 29.I. 2013; 2 females, 30.I. 2013; 1 female, 17.III. 2013; Abo-Talat district: 1 male, 7.III. 2013; 1 female, 27.IV. 2013; 1 female, 30.IV. 2013; Sidi Kreer district: 2 females, 1 male, 4.V. 2013; 1 female, 1 males, 5.V. 2013; 1 female, 1 male, 7.V. 2013; 4 females, 8.V. 2013; 1 female, 2 males, 15.V. 2013. Distribution. Egypt (Sidi Kreer, Abo-Talat, and El-Amria district). Etymology. This species is named in honor of Mrs. Hedaya H. Karam, professor of Economic Entomology at Alexandria University, Egypt. Biology. Larvae of B. karamae develop inside leaves of S. pruinosa (Chenopodiaceae). Attacked leaves do not show any external signs of infestation except for a dark reddish spot, but can be recognized once adults have emerged, leaving behind emergence holes and the protruding pupal exuviae. Each gall consists of a single chamber in which pupation takes place. The adults were collected from plants from the end of January to the beginning of March, and from the end of April to the middle of October, 2013. Baldratia karamae may have more than two generations per year. Remarks. According to Fedotova (1991 a) the genus Baldratia is divided into five groups on the basis of morphological characters of adults. By reviewing these characters, it was clear that the new species, B. karamae, belongs to the salicorniae Group, which is characterized by the apical lamella positioned at an obtuse angle relative to segment 9, and the lateral plate embraces the entire base of the apical lobe. The salicorniae Group previously contained three species, viz. B. salicorniae, B. suaedifolia, and B. balchanensis (Fedotova 1991 a, 1992). The thin spine of the female ovipositor is longer and thinner in B. suaedifolia, and B. balchanensis than in B. salicorniae. This new species has a long thin spine that does not exceed the base of the aculeus, in contrast to B. balchanensis which has a longer thin spine. Baldratia suaedifolia has a thin spine covered with split setae, while it is bare in B. karamae. Currently only five gall midge species are known to be associated with the host plant Suaeda (Gagné & Jaschhof 2014). Two of them, B. aelleni Möhn, 1969, and B. suaedae Möhn, 1969, were described on the basis of larvae alone (Möhn 1969), and can therefore not be compared to other adults in the genus. Baldratia karamae larvae that develop in leaves of Suaeda pruinosa, differ from the three other species, viz. B. occulta Dorchin, 2001, associated with S. monoica Forssk; B. suaedifolia Fedotova, 1991, associated with Suaeda acuminata (Meyer); and B. terteriani Mamaev & Mirumian, 1990, associated with Suaeda altissima (L.), on the basis published descriptions of these species (Mamaev & Mirumian 1990, Fedotova 1991 a, Dorchin 2001). An unique feature of the B. karamae is the stable number of antennal flagellomeres (2 + 10) in both sexes, in contrast to other species of Baldratia which have a variable number of flagellomeres between the sexes, viz. B. suaedifolia (2 + 12 in female versus 2 + 10 in male), B. occulta (2 + 13-14 in female versus 2 + 12 in male), and B. terteriani (2 + 14 in female versus 2 + 12 in male). The lateral plate of the ovipositor of B. karamae is broad at its base, narrow in the middle and covered with split setae, but B. occulta has a lateral plate which is narrow at the base and bearing 10-15 straight setae, with split setae only on the basal part. The lateral plate of B. terteriani has a small lateral projection at the base that is not present in B. karamae.Published as part of Elsayed, Ayman Khamis, Skuhravá, Marcela, Karam, Hedaya Hamza, Elminshawy, Abdelaziz & Al-Eryan, Mohamed Awad, 2015, New records and new species of gall midges (Diptera: Cecidomyiidae) developing on Chenopodiaceae in Egypt, pp. 105-115 in Zootaxa 3904 (1) on pages 108-110, DOI: 10.11646/zootaxa.3904.1.6, http://zenodo.org/record/23434
Multicomponent image segmentation using a genetic algorithm and artificial neural network
No full textImage segmentation is an essential process for image analysis. Several methods were developed to segment multicomponent images, and the success of these methods depends on several factors including 1) the characteristics of the acquired image and 2) the percentage of imperfections in the process of image acquisition. The majority of these methods require a priori knowledge, which is difficult to obtain. Furthermore, they assume the existence of models that can estimate its parameters and fit to the given data. However, such a parametric approach is not robust, and its performance is severely affected by the correctness of the utilized parametric model. In this letter, a new multicomponent image segmentation method is developed using a nonparametric unsupervised artificial neural network called Kohonen's self-organizing map (SOM) and hybrid genetic algorithm (HGA). SOM is used to detect the main features that are present in the image; then, HGA is used to cluster the image into homogeneous regions without any a priori knowledge. Experiments that are performed on different satellite images confirm the efficiency and robustness of the SOM-HGA method compared to the Iterative Self-Organizing DATA analysis technique (ISODATA). © 2007 IEEE.ARIA EH, 2004, P 20 ISPRS C IST TUR, P117; AWAD M, IN PRESS INT J REMOT; BACAO F, 2005, P ICCS 2005 C, P476; Baker J. E., 1987, P 2 INT C GEN ALG, P14; CHEN Q, 2004, LECT NOTES COMPUT SC, V33, P621; Chun DN, 1996, PATTERN RECOGN, V29, P1195, DOI 10.1016-0031-3203(95)00148-4; Fauzi M., 2003, P BRIT MACH VIS C, P519; HOLLLAND J, 1975, ADAPT NATURAL ARTIFI; HUAPT R, 2004, PRACTICAL GENETIC AL; Jensen J. R., 1996, INTRO DIGITAL IMAGE; Kohavi R., 1998, APPL MACHINE LEARNIN, V30, P271; Levine M. D., 1985, VISION MAN MACHINE; NEVATIA R, 1980, COMPUT VISION GRAPH, V13, P257, DOI 10.1016-0146-664X(80)90049-0; Ng SC, 1996, IEEE SIGNAL PROC MAG, V13, P38, DOI 10.1109-79.543974; PARZEN E, 1962, ANN MATH STAT, V33, P1065, DOI 10.1214-aoms-1177704472; PERKINS S, 2000, FUZZY SYST EVOL COMP, V3, P52; Pina P, 2003, INT GEOSCI REMOTE SE, P3516; PRATT W, 1991, DIGITA IMAGE PROCESS; Tou J.T., 1974, PATTERN RECOGNITION; Wang X., 2004, P IEEE C ROB AUT MEC, P991; Xiaoying Jin, 2003, Proceedings of the 12th IEEE International Conference on Fuzzy Systems (Cat. No.03CH37442); Xu BG, 2002, AATCC REV, V2, P42; Yao KC, 2000, PATTERN RECOGN, V33, P1575, DOI 10.1016-S0031-3203(99)00135-1; YIN HJ, 1995, NEURAL COMPUT, V7, P1178, DOI 10.1162-neco.1995.7.6.117834232
Superconducting properties of zinc substitution in Tl-2223 phase
No full textThe effect of partial replacement of copper by zinc in Tl2Ba2Ca2Cu3O10-δ superconductor phase is studied. Superconducting samples of the nominal composition Tl2Ba2Ca2Cu3-xZnx O10-δ with x ranging from 0 to 0.6 are prepared under normal pressure by a one step of solid-state reaction technique. The samples are characterized by using X-ray powder diffraction, scanning electron microscope (SEM) and EDX. The X-ray data indicate that the partial replacement of Cu2+ions by Zn2+ions does not influence the tetragonal structure of the samples, and the lattice parameters a and c vary according to the difference in the ionic radii of Cu and Zn. The superconducting parameters, such as superconducting transition temperature Tc, critical current density Jc and irreversibility field Bir are calculated from electrical resistivity and AC-magnetic susceptibility measurements. © 2007 Elsevier B.V. All rights reserved.Abou-Aly A.I., 2002, INT C RES TRENDS SCI, V91; ADACHI S, 1990, PHYSICA C, V111, P543; Awad R, 2000, PHYSICA C, V341, P685, DOI 10.1016-S0921-4534(00)00650-X; Awad R, 2007, SUPERCOND SCI TECH, V20, P401, DOI 10.1088-0953-2048-20-4-017; Awad R, 2001, PHYSICA B, V307, P72, DOI 10.1016-S0921-4526(01)00971-1; Batista-Leyva AJ, 2003, SUPERCOND SCI TECH, V16, P857, DOI 10.1088-0953-2048-16-8-305; BEAN CP, 1964, REV MOD PHYS, V36, P31, DOI 10.1103-RevModPhys.36.31; BERKLEY DD, 1993, PHYS REV B, V47, P5524, DOI 10.1103-PhysRevB.47.5524; CHEN DX, 1990, PHYSICA C, V167, P317, DOI 10.1016-0921-4534(90)90349-J; Chu SY, 2000, PHYSICA C, V337, P229, DOI 10.1016-S0921-4534(00)00107-6; Fradina IA, 1999, PHYSICA C, V311, P81, DOI 10.1016-S0921-4534(98)00563-2; Glowacki BA, 1997, CRYOGENICS, V37, P609, DOI 10.1016-S0011-2275(97)00053-2; HAZEN RM, 1988, PHYS REV LETT, V60, P1657, DOI 10.1103-PhysRevLett.60.1657; Isber S, 2005, SUPERCOND SCI TECH, V18, P311, DOI 10.1088-0953-2048-18-3-018; Isber S, 2006, J PHYS CONF SER, V43, P450, DOI 10.1088-1742-6596-43-1-112; Kayed TS, 2003, CRYST RES TECHNOL, V38, P946, DOI 10.1002-crat.200310118; Kuhberger M, 2003, PHYSICA C, V390, P263, DOI 10.1016-S0921-4534(03)00706-8; LEE MW, 1995, PHYSICA C, V245, P6, DOI 10.1016-0921-4534(95)00100-X; Mezzetti E, 2000, PHYSICA C, V332, P115, DOI 10.1016-S0921-4534(00)00008-3; MOHAMMED NH, 2005, ARAB INT C REC ADV P, P9; Nishida A, 2003, PHYSICA C, V392, P349, DOI 10.1016-S0921-4534(03)00848-7; Pavard S, 1999, PHYSICA C, V316, P198, DOI 10.1016-S0921-4534(99)00259-2; Ravi S, 2000, PHYSICA C, V330, P58, DOI 10.1016-S0921-4534(99)00611-5; REN ZF, 1991, PHYSICA C, V184, P24, DOI 10.1016-0921-4534(91)91496-Q; RUCKENSTEIN E, 1989, MATER LETT, V8, P421, DOI 10.1016-0167-577X(89)90065-7; Tang H, 1997, PHYSICA C, V282, P2111, DOI 10.1016-S0921-4534(97)01171-4; Triscone G, 1996, PHYSICA C, V264, P233, DOI 10.1016-0921-4534(96)00262-6; VANDERAH TA, 1992, CHEM SUPERCONDUCTOR, P90; WANG YB, 1993, J LOW TEMP PHYS, V15, P169; WESTERHOLT K, 1989, PHYS REV B, V39, P11680, DOI 10.1103-PhysRevB.39.11680; Wisniewski A, 2000, PHYS REV B, V61, P791, DOI 10.1103-PhysRevB.61.791; XU YW, 1990, PHYSICA C, V169, P205, DOI 10.1016-0921-4534(90)90177-G; Yamauchi H, 1998, SUPERCOND SCI TECH, V11, P1006, DOI 10.1088-0953-2048-11-10-022; Yang Li, 1994, Physics Letters A, V18543
Ordinal optimization for dynamic network reconfiguration
No full textMotivated by the challenge of efficiently reconfiguring distribution networks for power loss reduction, this study presents an approach for finding a minimum loss radial configuration for a power network using ordinal optimization. Ordinal optimization relies on order comparison and goal softening to make the problem solution easier and the computation more efficient. The successful application of ordinal optimization to such a complex optimization problem required the investigation of several algorithmic parameters. The solution algorithm was implemented in a software package, where an acceptable solution is considered good enough if it is in the top mpercent of the solutions with a probability P. Testing it on 33- and 136-bus systems, minimal power loss results were obtained on the 33-bus system that are in the top 0.03percent of the search space. Comparing the experimental results with other recently published methods showed the effectiveness of ordinal optimization for minimum loss calculations and motivated further studies in smart-grid-like scenarios, where the results obtained for different load levels were in the top 0.13percent of the search space. © 2011 Copyright Taylor and Francis Group, LLC.Abdelaziz A. Y., 2009, IEEE POW EN SOC M CA; Abdelaziz AY, 2010, ELECTR POW SYST RES, V80, P943, DOI 10.1016-j.epsr.2010.01.001; Baran M. E., 1989, IEEE T POWER DELIVER, V4, P101; Braverman M., 2007, 22 ANN IEEE C COMP C, P225; BUNCH JB, 1982, IEEE T POWER AP SYST, V101, P284, DOI 10.1109-TPAS.1982.317104; Carreno EM, 2008, IEEE T POWER SYST, V23, P1542, DOI 10.1109-TPWRS.2008.2002178; CASTRO CA, 1990, ELECTR POW SYST RES, V19, P137, DOI 10.1016-0378-7796(90)90064-A; CHIANG HD, 1990, IEEE T POWER DELIVER, V5, P1568, DOI 10.1109-61.58002; CIVANLAR S, 1988, IEEE T POWER DELIVER, V3, P1217, DOI 10.1109-61.193906; Debs A. S., 1987, MODERN POWER SYSTEM, P180; de Oliveira LW, 2010, INT J ELEC POWER, V32, P840, DOI 10.1016-j.ijepes.2010.01.030; Dogrusoz U., 1994, INT C COMP INF APR, V6, P46; Fusheng Li, 2009, P 6 ANN IEEE COMM SO, P1, DOI 10.1109-ICUT.2009.5405702; GOSWAMI SK, 1992, IEEE T POWER DELIVER, V7, P1484, DOI 10.1109-61.141868; Ho Y. C., 1992, DISCRETE EVENT DYN S, V2, P61, DOI 10.1007-BF01797280; Ho Y. C., 1994, P 33 IEEE C DEC CONT, V2, P1470; Ho Y.C., 2007, ORDINAL OPTIMIZATION, P7; Kachem M. A., 2000, ELECT POWER ENERGY S, V22, P269; Kashem MA, 1999, IEE P-GENER TRANSM D, V146, P563, DOI 10.1049-ip-gtd:19990694; Lau TWE, 1997, J OPTIMIZ THEORY APP, V93, P455, DOI 10.1023-A:1022614327007; Mantovani JRS, 2000, SBA CONTROLE AUTOMAC, V11, P150; MAYEDA W, 1965, IEEE T CIRCUITS SYST, VCT12, P181; Merlin A, 1975, P 5 POW SYST COMP C, P1; Morton AB, 2000, IEEE T POWER DELIVER, V15, P996, DOI 10.1109-61.871365; NARA K, 1992, IEEE T POWER SYST, V7, P1044, DOI 10.1109-59.207317; Ravibabu P, 2008, IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering. SIBIRCON 2008, DOI 10.1109-SIBIRCON.2008.4602603; SHERMAN J, 1950, ANN MATH STAT, V21, P124, DOI 10.1214-aoms-1177729893; SHIRMOHAMMADI D, 1989, IEEE T POWER DELIVER, V4, P1492, DOI 10.1109-61.25637; Sivanagaraju S, 2006, ELECTR POW COMPO SYS, V34, P249, DOI 10.1080-15325000500240854; Sivanagaraju S, 2008, ELECTR POW COMPO SYS, V36, P513, DOI 10.1080-15325000701735389; Swarnkar A, 2011, ELECTR POW SYST RES, V81, P1619, DOI 10.1016-j.epsr.2011.03.020; Yu Y., 2002, IEEE T POWER SYST, V3, P172953
Erratum: Statistical analysis on the radiological assessment and geochemical studies of granite rocks in the north of Um Taghir area, Eastern Desert, Egypt (Open Chem. (2022) 20: 1 (254–256) DOI: 10.1515/chem-2022-0131)
No full textCorrigendum to: Awad H, Abu El-Leil I, Nastavkin A, Tolba A, Kamel M, El-Wardany R, et al. Statistical analysis on the radiological assessment and geochemical studies of granite rocks in the north of Um Taghir area, Eastern Desert, Egypt. Open Chem. 2022;20(1):254 6. https://doi.org/10.1515/chem-2022-0131. After publishing the article, the authors noticed that there is a mistake in the authors contributions section. It was given as: Author contributions: H.A., I.A., A.N.conception of the study; A.T, M.K.experiment; R.E., A.R.analysis and manuscript preparation; H.Z., H.A., H.T.data analysis and writing the manuscript; S.I., H.Z.analysis with constructive discussions. It should be given as: Author contributions: H.A., I.A., A.N.conception of the study; A.T, M.K.experiment; R.E., A.R.analysis and manuscript preparation; H.Z., H.A., H.T.data analysis and writing the manuscript; H.A., A.E., S.I., H.Z.analysis with constructive discussions. © 2022 De Gruyter. All rights reserved
Entropy-based and weighted selective sift clustering as an energy aware framework for supervised visual recognition of man-made structures
No full textUsing local invariant features has been proven by published literature to be powerful for image processing and pattern recognition tasks. However, in energy aware environments, these invariant features would not scale easily because of their computational requirements. Motivated to find an efficient building recognition algorithm based on scale invariant feature transform (SIFT) keypoints, we present in this paper uSee, a supervised learning framework which exploits the symmetrical and repetitive structural patterns in buildings to identify subsets of relevant clusters formed by these keypoints. Once an image is captured by a smart phone, uSee preprocesses it using variations in gradient angle- and entropy-based measures before extracting the building signature and comparing its representative SIFT keypoints against a repository of building images. Experimental results on 2 different databases confirm the effectiveness of uSee in delivering, at a greatly reduced computational cost, the high matching scores for building recognition that local descriptors can achieve. With only 14.3percent of image SIFT keypoints, uSee exceeded prior literature results by achieving an accuracy of 99.1percent on the Zurich Building Database with no manual rotation; thus saving significantly on the computational requirements of the task at hand. © 2013 Ayman El Mobacher et al.Awad M., 2009, P 5 INT C SOFT COMP; Bonaiuto J. J., 2005, P 3 INT WORKSH ATT P; Gao K, 2008, 7TH IEEE-ACIS INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE IN CONJUNCTION WITH 2ND IEEE-ACIS INTERNATIONAL WORKSHOP ON E-ACTIVITY, PROCEEDINGS, P191, DOI 10.1109-ICIS.2008.24; Kennedy Lyndon S., 2008, P 17 INT C WORLD WID, P297, DOI 10.1145-1367497.1367539; Lowe DG, 2004, INT J COMPUT VISION, V60, P91, DOI 10.1023-B:VISI.0000029664.99615.94; Pass G, 1999, MULTIMEDIA SYST, V7, P234, DOI 10.1007-s005300050125; Quack T., 2008, P INT C CONT BAS IM, P47, DOI DOI 10.1145-1386352.1386363; Shao H, 2003, LECT NOTES COMPUT SC, V2728, P71; Shao H, 2003, 260 SWISS FED I TECH; Zhang W., 2005, IEEE COMP SOC C COMP, P21; Zhang W., 2004, GMUCSTR20043; Zheng YT, 2009, PROC CVPR IEEE, P10850
Multicomponent image segmentation: A comparative analysis between a hybrid genetic algorithm and self-organizing maps
No full textImage segmentation is an essential process in image analysis. Several methods have been developed to segment multicomponent images and the success of these methods depends on the characteristics of the acquired image and the percentage of imperfections in the process of its acquisition. Many of the segmentation methods are parametric, which means that many parameters need to be computed or provided before the segmentation process, and any method that works on one type of multicomponent image cannot necessarily work on another. In addition, many segmentation methods are supervised, where a priori knowledge is needed, such as the number of classes. To overcome these obstacles, a self-organizing map (SOM), which is an unsupervised nonparametric method, was used to segment four different types of multicomponent images (Landsat, SPOT, IKONOS and CASI), and the results compared to those of a new nonparametric unsupervised genetic algorithm (GA) for image segmentation. To improve the performance of the GA, a hill-climbing process and another random heuristic module were added to escape the local-minima trap and to improve the speed of the GA; the new algorithm is called the hybrid genetic algorithm (HGA). Verification of the results was performed using two different techniques: field verification and the functional model. These verification techniques show that the HGA is more accurate in multicomponent image segmentation than the SOM.ARIA E, 1973, P 20 INT SOC PHOT RE, P117; BAKER EB, 1987, P 2 INT C GEN ALG L, P14; BHANU B, 1995, IEEE T SYST MAN CYB, V25, P1543, DOI 10.1109-21.478442; BRICE CR, 1970, ARTIF INTELL, V1, P205, DOI 10.1016-0004-3702(70)90008-1; CHANG YL, 1994, IEEE T IMAGE PROCESS, V3, P868; Chun DN, 1996, PATTERN RECOGN, V29, P1195, DOI 10.1016-0031-3203(95)00148-4; Cohen J, 1960, EDUC PSYCHOL MEAS, V20, P46; COLLET C, 1995, GRESTI STUDY RES GRO, V2, P569; CONGALTON RG, 1991, REMOTE SENS ENVIRON, V37, P35, DOI 10.1016-0034-4257(91)90048-B; Cormen T., 2001, INTRO ALGORITHMS; DEMPSTER AP, 1977, J ROY STAT SOC B MET, V39, P1; Haupt R L, 2004, PRACTICAL GENETIC AL; Holland J. H., 1975, ADAPTATION NATURAL A; Jiang T., 2001, ELECT NOTES THEORETI, V46, P1; KHUNKAY S, 1997, P 1997 INT C INF COM, V2, P713; Kim EY, 2000, IEEE SIGNAL PROC LET, V7, P301, DOI 10.1109-97.873564; KIM HJ, 1998, ELECTRON LETT, V34, P1394; Kohavi R., 1998, APPL MACHINE LEARNIN, V30, P271; Kohonen T., 2001, SPRINGER SERIES INFO, V30; Levine M. D., 1985, VISION MAN MACHINE; Lo Bosco G, 2001, 11TH INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND PROCESSING, PROCEEDINGS, P262; Ng SC, 1996, IEEE SIGNAL PROC MAG, V13, P38, DOI 10.1109-79.543974; OHLANDER R, 1978, COMPUT VISION GRAPH, V8, P313, DOI 10.1016-0146-664X(78)90060-6; OJOLA T, 1998, PATTERN RECOGN, V19, P1213; PARZEN E, 1962, ANN MATH STAT, V33, P1065, DOI 10.1214-aoms-1177704472; Pham DL, 2000, ANNU REV BIOMED ENG, V2, P315, DOI 10.1146-annurev.bioeng.2.1.315; Pratt WK, 1991, DIGITAL IMAGE PROCES; Schalkoff R.J, 1992, PATTERN RECOGNITION; Shapiro L., 2001, COMPUTER VISION; Xu BG, 2002, AATCC REV, V2, P42; Yao KC, 2000, PATTERN RECOGN, V33, P1575, DOI 10.1016-S0031-3203(99)00135-1; YIN HJ, 1995, NEURAL COMPUT, V7, P1178, DOI 10.1162-neco.1995.7.6.1178; Yoshimura M, 1999, PATTERN RECOGN, V32, P2041, DOI 10.1016-S0031-3203(99)00004-7; ZHANG P, 2003, P IEEE C EV COMP CEC, P634; Zouagui T, 2004, PATTERN RECOGN, V37, P1785, DOI 10.1016-j.patcog.2003.12.01462
Superconducting properties of Tl-2223 phase substituted by iron
No full textBulk superconducting samples of type Tl2Ba2Ca 2Cu3-xFexO10-δ; with 0 x 0.4, have been prepared using a single step of solid-state reaction. The prepared samples have been characterized using X-ray powder diffraction (XRD), scanning electron microscope (SEM) and microprobe analysis (MPA). The tetragonal structure of Tl-2223 did not change with the partial replacement of Cu 2+ by Fe3+ ions, whereas the lattice parameters were found to vary as function of Fe-content. The superconducting transition temperature Tc determined from electrical resistivity and ac magnetic susceptibility measurements shows suppression in its value as Fecontent increases. The suppression in Tc was attributed to the magnetic disorder and Cooperpairs breaking. The critical current density Jc and field irreversibility Bir were calculated as function of Fe-content. © 2006 IOP Publishing Ltd.Abou-Aly A. I., 2002, INT C RES TRENDS SCI, P91; Awad R, 2000, PHYSICA C, V341, P685, DOI 10.1016-S0921-4534(00)00650-X; Awad R, 2001, PHYSICA B, V307, P72, DOI 10.1016-S0921-4526(01)00971-1; BEAN CP, 1964, REV MOD PHYS, V36, P31, DOI 10.1103-RevModPhys.36.31; ESKES H, 1988, PHYS REV LETT, V61, P1415, DOI 10.1103-PhysRevLett.61.1415; GOTO T, 1997, PHYSICA C, V263, P8750; Isber S, 2005, SUPERCOND SCI TECH, V18, P311, DOI 10.1088-0953-2048-18-3-018; Koo JH, 2003, J PHYS-CONDENS MAT, V15, pL729, DOI 10.1088-0953-8984-15-46-L03; Li Y, 1999, PHYSICA C, V315, P129, DOI 10.1016-S0921-4534(99)00209-9; SIEGAD MP, 1997, J MATER RES, V12, P1421; WESTERHOLT K, 1989, PHYS REV B, V39, P11680, DOI 10.1103-PhysRevB.39.1168022
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