Orientation field, representing the fingerprint ridge structure direction, plays a crucial role in fingerprint-related image processing tasks. Orientation field is able to be constructed by either ...non-parametric or parametric methods. In this paper, the advantages and disadvantages regarding to the existing non-parametric and parametric approaches are briefly summarized. With the further investigation for constructing the orientation field by parametric technique, two new models - sparse FOMFE model and compressed sparse FOMFE model are introduced, based on the rapidly developing signal sparse representation and compressed sensing theories. The experiments on high-quality fingerprint image dataset (plain and rolled print) and poor-quality fingerprint image dataset (latent print) demonstrate their feasibilities to construct the orientation field in a sparse or even compressed sparse mode. The comparisons among the state-of-art orientation field modeling approaches show that the proposed two models have the potential availability in big data-oriented fingerprint indexing tasks.
Latent fingerprint has the practical value to identify the suspects who have unintentionally left a trace of fingerprint in the crime scenes. However, designing a fully automated latent fingerprint ...matcher is a very challenging task as it needs to address many challenging issues including the separation of overlapping structured patterns over the partial and poor quality latent fingerprint image, and finding a match against a large background database that would have different resolutions. Currently there is no fully automated latent fingerprint matcher available to the public and most literature reports have utilized a specialized latent fingerprint matcher COTS3 which is not accessible to the public. This will make it infeasible to assess and compare the relevant research work which is vital for this research community. In this study, we target to develop a fully automated latent matcher for adaptive detection of the region of interest and robust matching of latent prints. Unlike the manually conducted matching procedure, the proposed latent matcher can run like a sealed black box without any manual intervention. This matcher consists of the following two modules: (i) the dictionary learning-based region of interest (ROI) segmentation scheme; and (ii) the genetic algorithm-based minutiae set matching unit. Experimental results on NIST SD27 latent fingerprint database demonstrates that the proposed matcher outperforms the currently public state-of-art latent fingerprint matcher.
The characteristics of a novel nitride based field-effect transistor combining SiO/sub 2/ gate isolation and an AlGaN/InGaN/GaN double heterostructure design (MOSDHFET) are reported. The double ...heterostructure design with InGaN channel layer significantly improves confinement of the two-dimensional (2-D) electron gas and compensates strain modulation in AlGaN barrier resulting from the gate voltage modulations. These decrease the total trapped charge and hence the current collapse. The combination of the SiO/sub 2/ gate isolation and improved carrier confinement/strain management results in current collapse free MOSDHFET devices with gate leakage currents about four orders of magnitude lower than those of conventional Schottky gate HFETs.
SiO(2)/AlGaN/InGaN/GaN MOSDHFETs Simin, G; Koudymov, A; Fatima, H ...
IEEE electron device letters,
08/2002, Letnik:
23, Številka:
8
Journal Article
Recenzirano
The characteristics of a novel nitride based field-effect transistor combining SiO(2) gate isolation and an AlGaN/InGaN/GaN double heterostructure design (MOSDHFET) are reported. The double ...heterostructure design with InGaN channel layer significantly improves confinement of the two-dimensional (2-D) electron gas and compensates strain modulation in AlGaN barrier resulting from the gate voltage modulations. These decrease the total trapped charge and hence the current collapse. The combination of the SiO(2) gate isolation and improved carrier confinement/strain management results in current collapse free MOSDHFET devices with gate leakage currents about four orders of magnitude lower than those of conventional Schottky gate HFETs.
This paper reviews the second AIM learned ISP challenge and provides the description of the proposed solutions and results. The participating teams were solving a real-world RAW-to-RGB mapping ...problem, where to goal was to map the original low-quality RAW images captured by the Huawei P20 device to the same photos obtained with the Canon 5D DSLR camera. The considered task embraced a number of complex computer vision subtasks, such as image demosaicing, denoising, white balancing, color and contrast correction, demoireing, etc. The target metric used in this challenge combined fidelity scores (PSNR and SSIM) with solutions' perceptual results measured in a user study. The proposed solutions significantly improved the baseline results, defining the state-of-the-art for practical image signal processing pipeline modeling.
The characteristics of a novel nitride based field-effect transistor combining SiO sub(2) gate isolation and an AlGaN/InGaN/GaN double heterostructure design (MOSDHFET) are reported. The double ...heterostructure design with InGaN channel layer significantly improves confinement of the two-dimensional (2-D) electron gas and compensates strain modulation in AlGaN barrier resulting from the gate voltage modulations. These decrease the total trapped charge and hence the current collapse. The combination of the SiO sub(2) gate isolation and improved carrier confinement/strain management results in current collapse free MOSDHFET devices with gate leakage currents about four orders of magnitude lower than those of conventional Schottky gate HFETs.
Volcanic rocks in the study area,including dacite,trachyandesite and mugearite,belong to the intermediate-acid,high-K calc-alkaline series,and possess the characteristics of adakite.The geochemistry ...of the rocks shows that the rocks are characterized by SiO2>59%,enrichment in Al2O3(15.09-15.64%)and Na2O(>3.6%),high Sr(649-885μg/g)and Sc,low Y contents(<17μg/g）,depletion in HREE(Yb<1.22μg/g）,(La/Yb)N>25,Sr/Y>40,MgO<3%(Mg^#<0.35),weak Eu anomaly(Eu/Eu*=0.84-0.94),and lack of the high field strength elements(HFSE)(Nd,Ta,Ti,etc.).The Nd and Sr isotope data(^87Sr/^86Sr=0.7062-0.7079,^143Nd/144Nd=0.51166-0.51253,εNd=-18.61-0.02),show that the magma resulted from partial melting(10%-40%)of newly underplated basaltic lowen crust under high pressure(1-4GPa),and the petrogenesis is obviously affected by the crust's assimilation and fractional crystallization(AFC).This research will give an insight into the uplift mechanism of the Tibetan plateau.
Model autodavača (autoencodera) je jedan od najtipičnijih modela temeljitog učenja koji se najčešće koriste u učenju neupravljačkog obilježja za mnoge aplikacije kao što su prepoznavanje, ...identifikacija i pretraživanje. Algoritmi autodavača predstavljaju opsežne računarske zadatke. Stvaranje opsežnog modela autodavača može zadovoljiti potrebe u analizi ogromnog broja podataka. Međutim, vrijeme učenja katkada postaje nepodnošljivo, što dovodi do potrebe istraživanja nekih platformi hardvera za ubrzavanje, kao što je FPGA. Verzije softvera autodavača često koriste izraze jednostruke ili dvostruke preciznosti. Ali implementiranje jedinica s promjenjivom točkom je vrlo skupo za postavljanje u FPGA. Kod implementacije autodavača na hardver stoga se često primjenjuje aritmetika nepromjenjive točke. No često se zanemaruje gubitak točnosti i nije proučavan u ranijim radovima. Ima tek nekoliko radova koji se bave akceleratorima koji koriste fiksne širine bita na drugim modelima neuronskih mreža. U našem se radu daje opsežna procjena prikaza preciznosti implikacija nepromjenjive točke na autodavač, postizanje najbolje značajke i područja učinkovitosti. Metoda konverzije formata podataka, metode blokiranja matrice i aproksimacija kompleksnim funkcijama predstavljaju ključne razmatrane čimbenike u skladu s mjestom implementacije hardvera. U radu se procjenjuju metoda simulacije konverzije podataka, blokiranje matrice različitim paralelizmom i jednostavna metoda evaluacije. Rezultati su pokazali da je širina bita s nepromjenjivom točkom uistinu utjecala na učinkovitost autodavača. Višestruki čimbenici mogu postići suprotan učinak. Svaki čimbenik može imati dvostruki učinak odbacivanja "brojnih" informacija i "korisnih" informacija u isto vrijeme. Područje predstavljanja treba pažljivo odabrati u skladu s računarskim paralelizmom. Rezultat je također pokazao da se primjenom aritmetike nepromjenjive točke može garantirati preciznost algoritma autodavača i postići prihvatljiva brzina konvergencije.
Low-loss high-power AlInGaN RF switches Simin, Grigory; Xuhong Hu; Zijiang Yang ...
2007 International Semiconductor Device Research Symposium,
2007-Dec.
Conference Proceeding
The importance of RF control devices in modern microwave technique continuously increases because of increasing complexity and functionality of the RF systems. Satellite communications, ...software-defined radios, multi-band mobile communications, and radars all require highly reliable, low-loss fast RF switching components. Other key requirements include low DC (control) power consumption, the ability to fabricate multi-element MMICs and compatibility with other RF components.
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