Analiza porównawcza jakości serwisów internetowych polskich banków

The article presents the results of a comparative analysis of the quality of websites and mobile websites of sixteen largest banks operating in Poland. The analysis was conducted taking into account multiple criteria of choosing the optimal website under certain circumstances. Sixteen different criteria in three different areas have been defined, those areas being: functionality and accessibility, innovation, safety. Using the method of weighted criteria, a ranking has been made in each of the groups and for the final criterion. Multiple-criteria decision analysis allowed the identification of the highest quality banking systems.W artykule przedstawiono rezultaty analizy porównawczej jakości serwisów internetowych i mobilnych szesnastu największych banków działających na terenie Polski. Analizę przeprowadzono pod kątem wielokryterialnego wyboru najbardziej odpowiedniego serwisu w konkretnych warunkach. Zdefiniowano i wykorzystano w analizie szesnaście różnych kryteriów z trzech obszarów: funkcjonalność i dostępność, innowacyjność oraz bezpieczeństwo. Przy pomocy metody ważonych kryteriów wyznaczono ranking serwisów w każdej z grup kryteriów i dla kryterium końcowego. Analiza wielokryterialna pozwoliła wskazać systemy bankowe o najwyższej jakości

Proximal Policy Optimization for Radiation Source Search

Rapid search and localization for nuclear sources can be an important aspect in preventing human harm from illicit material in dirty bombs or from contamination. In the case of a single mobile radiation detector, there are numerous challenges to overcome such as weak source intensity, multiple sources, background radiation, and the presence of obstructions, i.e., a non-convex environment. In this work, we investigate the sequential decision making capability of deep reinforcement learning in the nuclear source search context. A novel neural network architecture (RAD-A2C) based on the advantage actor critic (A2C) framework and a particle filter gated recurrent unit for localization is proposed. Performance is studied in a randomized 20×20 role= presentation style= box-sizing: border-box; max-height: none; display: inline; line-height: normal; font-size: 13.2px; overflow-wrap: normal; white-space: nowrap; float: none; direction: ltr; max-width: none; min-width: 0px; min-height: 0px; border: 0px; padding: 0px; margin: 0px; color: rgb(34, 34, 34); font-family: Arial, Arial, Helvetica, sans-serif; position: relative; \u3e20×2020×20 m convex and non-convex simulation environment across a range of signal-to-noise ratio (SNR)s for a single detector and single source. RAD-A2C performance is compared to both an information-driven controller that uses a bootstrap particle filter and to a gradient search (GS) algorithm. We find that the RAD-A2C has comparable performance to the information-driven controller across SNR in a convex environment. The RAD-A2C far outperforms the GS algorithm in the non-convex environment with greater than 95% role= presentation style= box-sizing: border-box; max-height: none; display: inline; line-height: normal; font-size: 13.2px; overflow-wrap: normal; white-space: nowrap; float: none; direction: ltr; max-width: none; min-width: 0px; min-height: 0px; border: 0px; padding: 0px; margin: 0px; color: rgb(34, 34, 34); font-family: Arial, Arial, Helvetica, sans-serif; position: relative; \u3e95%95% median completion rate for up to seven obstructions

WYBRANE ZAGADNIENIA BUDYNKÓW GŁĘBOKO POSADOWIONYCH W DUŻYCH AGLOMERACJACH MIEJSKICH

W niniejszej pracy podjęto tematykę wielostanowiskowych garaży podziemnych, a także złożonych problemów inżynierskich, powstałych podczas ich projektowania i realizacji. Ponadto dokonano analizy wybranych problemów w trakcie projektowania garaży jak również podczas realizacji inwestycji

Low-noise x-band tunable microwave generator based on external cavity lasers

International audienceA relatively simple and stable microwave oscillator tunable across the full X-band is achieved. The microwave oscillations are self-generated limit-cycles produced by a laser diode subjected to optical feedback from a mirror. Further, the oscillations are stabilized utilizing two techniques in tandem, the first being a resonance effect based on locking the two inherent timescales of the laser, and the second being optoelectronic feedback. The resulting stable oscillations are fully tunable across the X-band from 5.5 to 12.1 GHz with typical phase noise performance of -107 dBc/Hz at 10 kHz offset. Further, the system is relatively simple by not requiring multiple lasers, radio-frequency filters, external RF sources, or any specialized equipment, thus, enabling a compact and low-cost microwave oscillator for applications in radar, radio over fiber, and telecommunications

Application of a Simple, Spiking, Locally Competitive Algorithm to Radionuclide Identification

Many radionuclide identification algorithms use statistical inference to collect a variety of features from gamma-ray spectra to deduce the presence of particular radionuclides. More modern algorithms require large amounts of data to learn and use latent features from spectra for classification. Both approaches are computationally expensive, which is reflected in their power consumption, and require large amounts of user intervention to prepare. In this paper we introduce a low power, neuromorphic algorithm for the real-time identification of radionuclides which simultaneously considers the entire shape of a gamma-ray spectrum. Utilizing the output of a traditional gamma-ray detector, our spiking, locally competitive algorithm uses sparse coding optimization to compare global patterns in a gamma-ray spectrum with a dictionary of radionuclide templates. This approach allows us to model informative global features resulting from both photoelectric absorption and Compton scattering. For the purpose of radiation threat reduction, the dictionary consists of data from the Nuclear Wallet Cards, a list of radionuclides and their properties compiled by the National Nuclear Data Center. To test our algorithm we use a variety of gamma-ray spectra created using radionuclides measured under laboratory conditions with varying durations, distances, activity levels, and backgrounds, resulting in a wide range of signal to noise ratios. We have created test sets for three different gamma-ray detector types, with 57Co, 137Cs, 152Eu, 60Co, 239Pu, and 235U sources, to quantify the effect of resolution, efficiency, and background on the accuracy of the algorithm. We demonstrate a true positive accuracy of 91% with a high resolution detector and 89% with a low resolution detector on the corresponding test sets. Experimenting with the same radionuclides included in the test sets in a variety of special nuclear material (SNM) masking configurations, we show that our algorithm is capable of correctly identify both SNM and mask even when the activity level of the mask is several times higher than that of the SNM. We also determine that our algorithm achieves over a 99% reduction in power consumption over other radionuclide identification software applications, which is critical for long term, independent monitoring and is the goal of this research

Modeling of current spreading in high-power broad-area lasers and its impact on the lateral far field divergence

The effect of current spreading on the lateral far–field divergence of high–power broad–area lasers is investigated with a time–dependent model using different descriptions for the injection of carriers into the active region. Most simulation tools simply assume a spatially constant injection current density below the contact stripe and a vanishing current density beside. Within the drift–diffusion approach, however, the injected current density is obtained from the gradient of the quasi–Fermi potential of the holes, which solves a Laplace equation in the p–doped region if recombination is neglected. We compare an approximate solution of the Laplace equation with the exact solution and show that for the exact solution the highest far–field divergence is obtained. We conclude that an advanced modeling of the profiles of the injection current densities is necessary for a correct description of far–field blooming in broad–area lasers