In this paper, we describe a new strategy of observation and analysis of a basketball match, exploiting video processing techniques in order to identify the game system of a team. Our system realizes the players' positions tracking during the match. We have in entry three video streams from three fixed cameras, each processed separately to deliver measures of players' positions from different available views. Each treated view includes foreground detection and a bounding box tracker aimed at containing pixels standing for the players. During the multi-view process, measures resulting from different sights are synchronized in order to identify the same player who can be seen simultaneously on many cameras. These measures are combined in order to obtain the players' positions as well as their updates through the images. The positions thus obtained have been exploited in a database containing the representative points (coordinates) of all the players who form a polygon. The analysis of a game system is thus nothing but the analysis of the distortion and movement of this polygon during the match. We define comparative indicators of the two teams as well as an indicator which represents a discipline expert's opinion (action code) and we exploit statistical tools whose objectives are on the one hand to emit correlations and relationships between different indicators, and on the other hand to identify the game system adopted by comparing the expert opinion with the results of the established heuristic modals.

Medical images of different modalities, such as computed tomography/magnetic resonance/Positron Emission Tomography/Single Photon Emission Computed Tomography/ultrasonography, etc., of a particular object of interest provide complimentary information about the conditions of diseases and that of patients. Mapping of one image over that of other and a subsequent fusion of images is of immense importance from the point of view of diagnostics and treatment planning. In this paper, we have presented major theoretical/practical approaches of medical image registration. After making both methodological and technical survey of almost all the approaches in literature of both functional and anatomical images, we presented an in-depth study of two relatively recent approaches that we consider most promising. These are shape theoretic and image entropy-based methods. We have also proposed a soft computing approach of fusion of registered images using Dempster Shafer Theory of Evidence Accumulation along with some experimental results on some critical human body components such as brain, chest, and bones.

This paper investigates two methods for mitigation of voltage dips and voltage swells in a grid to which a wind energy conversion system (WECS) is connected. The two mitigation methods are the dynamic voltage restorer (DVR) and the static synchronous compensator (STATCOM). The wind energy system employs permanent magnet synchronous generator (PMSG). It is well known that the voltage dips affect the PMSG adversely, leading to unlimited increase in its speed. Hence, quick voltage dip mitigation is required. The responses of both DVR and STATCOM to voltage dips as well as voltage swells are investigated and compared. The control algorithms employed with each device are presented. The need for applying additional filters to suppress harmonic contents of each system (the system employing DVR and that employing STATCOM) is studied. Also, the active and reactive power behaviors in each system during and after fault recovery are investigated. The simulation results compared for voltage dips and voltage swells show the less harmonic contents for the system employing the DVR. However, the response of the two systems to faults is comparable.

The objective of this article was to investigate if the ultra-wideband (UWB) low-noise amplifier (LNA) was modeled by utilizing a two-stage cascade circuit schematic, associated with the DC current-reused technique, which could improve the low power consumption in the 3.1-10.6 GHz frequency. The proposed UWB LNA amplifier was implemented with both the co-planer waveguide layout and 0.5-μm GaAs Enhancement-mode pHEMT technology. Based on these technologies, this proposed UWB LNA, for which the chip size was shown to be 0.917 mm×0.816 mm, presented a flatness gain 3-dB bandwidth of 3.1-10.6 GHz, an excellent noise figure of 2.26-3.36 dB, a maximum power gain of 15.2 dB, and a power consumption of 17.7 mW, at 3 V power supply, respectively. Furthermore, the proposed UWB LNA was performed in the temperature stability measurement, for which stable characterizations of the S-parameters were obtained. Based on our experimental results, the low noise amplifier could obtain a wider band-width, low power consumption, and high flatness of gain in the 3.1-10.6 GHz frequency. Finally, the overall LNA characterization exhibited an ultra-wide bandwidth and low noise characterization, which illustrated that the proposed UWB LNA had a circuit compact size and exhibited favorable 3-10 GHz microwave characteristics.

The road network now opens a new application area for the classic k  -nearestneighbors (k  -NN) queries, which retrieve k  objects closest to a given query point. However, since most existing schemes are built on top of the Euclidean distance, they just find the k  objects, failing in discovering the shortest paths to them and thus possibly bringing the so-called false dismissal problem. Aiming at finding both k  objects and the shortest paths at the same time, this paper first selects candidate objects by the k  -NN search scheme according to the underlying index structure and then finds the path to each of them by the modified A* algorithm. The path finding step stores the intermediary paths from the query point to all of the scanned nodes and then attempts to match the path segment common between the stored paths and the path to a new scan node instead of repeatedly running A* algorithm for each k  point. Experiment results show that, for the road network data of Oldenburg Road Network and California Road Network, the proposed scheme improves the search speed by 1.3-3.0 times, compared with incremental network expansion, post-Dijkstra, and naive method, also reducing the number of scan nodes by 11.8-66.8 %.

In this paper, the fuzzy logic, neuro-fuzzy logic, and artificial neural network speed controllers in feedforward and recurrent architectures are designed and modeled to control the permanent magnet synchronous motor (PMSM) drive. The fundamentals of artificial intelligence-based control algorithms are illustrated. The detailed performance of the PMSM drive is studied by applying various mechanical disturbances such as starting performance, speed reversal, flux weakening, and load perturbations.

A 320×256 readout integrated circuit (ROIC) for infrared focal plane arrays is designed and fabricated with 0.5 μm n-well Complementary Metal Oxide Semiconductor (CMOS) process. A sub-circuit Simulation Program with Integrated Circuit Emphasis (SPICE) model of Metal Oxide Semiconductor Field Effect Transistor (MOSFET) for low-temperature simulation is also presented and has been applied in the ROIC design. An auto-bias capacitor transimpedance amplifier pixel structure with selectable input gain is used to prevent pixel crosstalk and accommodate the dynamic range requirements. A shared buffer and dynamic tail current technology are applied in the column readout stage to reduce the power consumption. A fast-settling, low static power, high-linearity output buffer have also been suggested. The experimental chip of the proposed ROIC has been measured at 77 K. Under the power supply of 5.5 V, it has a power dissipation of 78.3 mW. The linearity is above 99%. The ROIC can operate at 110 frames/s when the clock is 10 MHz. The measured results also verify the validity of the low-temperature SPICE model of MOSFET.

High Peak to Average Power Ratio (PAPR) is one of the major drawbacks in the Orthogonal Frequency Division Multiple Access (OFDMA) systems. In this paper, we present a novel Zadoff-Chu Matrix Transform (ZCMT) precoding based Interleaved-OFDMA uplink system with improved PAPR for the upcoming 4G cellular systems. The proposed system is based on the precoding of constellation symbols with ZCMT precoder in such a way that the system becomes Constant Envelope OFDMA (CE-OFDMA). The CE-OFDMA signal allows the Radio-Frequency (RF) high power amplifier to operate near its saturation levels, thus maximize the power efficiency. However, even 0 db PAPR or CE-OFDMA systems must contend with pulse shaping to keep out of band radiation low and to meet the transmission spectrum mask requirement. Hence, the PAPR is analyzed with Root Raised Cosine pulse shaping. Simulation results show that proposed system has better PAPR gain than the walsh-hadamard transform (WHT) precoded Interleaved-OFDMA uplink systems and the conventional Interleaved-OFDMA uplink systems.

A low-power switchable dual-band complementary metal-oxide semiconductor (CMOS) low-noise amplifier (LNA) for 802.11a/b/g wireless local-area network applications is presented. The switched external capacitor is added to the gate-source node of the input transistor, which match to the input port in two frequency bands of 2.4 and 5.2 GHz. By just adding a small-size switched capacitor to the conventional source-degenerated topology, the proposed LNA has an advantage of occupying less chip area compared to other concurrent topology that uses more inductors by adopting LC tank resonators. In addition, it consumes less current compared to other topology which adopts a switched transistor technique. The proposed LNA is designed and simulated using a 0.18-μm CMOS technology. The LNA core draws only 2.3 mA from a 1 V supply voltage. The S11 and S22 of the proposed LNA are less than -10 dB in the two frequency bands. The noise figure is 3.2 and 3.5 dB at 2.4 and 5.2 GHz, respectively. The power gain is larger than 10 dB. The input IP3 is -2.9 and -3.1 dBm at 2.4 and 5.2 GHz, respectively.