Fast masking algorithms for image analysis

The possibility and the construction of a number of fast algorithms for the two-dimensional masking of small mask sizes is clearly demonstrated. These are based on nesting and represent extension of the ideas of Stasinski (1990). Moreover, the authors explain how to make the optimal choice of the algorithm depending on the computational machine available.<>     

A high-quality dual-input differentiator

A dual-input ideal differentiator network design with a single resistor-controlled time constant and high-gain operational amplifier (OA) devices is described. At high frequencies, the network becomes functionally nonideal and its quality factor (Q) degrades because of the frequency-dependent gain of the OA. A suitable Q-compensation design that yields a 1:|A|² order of Q improvement at higher frequencies is proposed. The network exhibits high-frequency deemphasis characteristics due to the OA-poles which would suppress the high-frequency noise components     

Multimodal acting in mixed reality interactive storytelling

In this paper, an experimental mixed reality using a multimodal approach is introduced which lets users play characters in interactive narratives as though acting on a stage. Users interact with characters through speech, attitude, and gesture, enhancing their immersion in the virtual world. This system provides a small-scale but complete integration of multimodal communication in interactive storytelling. It uses a narrative's semantic context to focus multimodal input processing-that is, the system interprets users' acting (the multimodal input) in the mixed reality stage in terms of narrative functions representing users' contributions to the unfolding plot.     

Algorithms for automatic modulation recognition of communicationsignals

This paper introduces two algorithms for analog and digital modulations recognition. The first algorithm utilizes the decision-theoretic approach in which a set of decision criteria for identifying different types of modulations is developed. In the second algorithm the artificial neural network (ANN) is used as a new approach for the modulation recognition process. Computer simulations of different types of band-limited analog and digitally modulated signals corrupted by band-limited Gaussian noise sequences have been carried out to measure the performance of the developed algorithms. In the decision-theoretic algorithm it is found that the overall success rate is over 94% at the signal-to-noise ratio (SNR) of 15 dB, while in the ANN algorithm the overall success rate is over 96% at the SNR of 15 dB     

Interaction of prion peptide HuPrP106-126 with nucleic acid

Synthetic prion peptide PrP106-126 has been used as a model to understand prion diseases. The conformation of the peptide depends on the environmental conditions and it forms amyloid in vitro. The potential of this prion peptide to interact with nucleic acids has been studied using a fluorescent labelled nucleic acid by kinetic and equilibrium methods. A decrease in the fluorescence of the labelled DNA induced by the peptide with time is observed which is pH, ionic strength and temperature dependent. The activation energy of the reactions is approximately 100 kJ mol-1. Lysine tripeptide and spermidine, carrying the same number of positive charges as the prion peptide, do not show an appreciable effect on the DNA. The binding constant between the prion peptide and DNA has a value of > 10(6) M-1 in phosphate buffer, pH 8 which is of the same order of magnitude as the binding of a retroviral protein, p10, with model nucleic acids. It is tempting to speculate that this interaction might play a role in the prion diseases.     

南京奥林匹克体育中心智能照明控制系统

本文介绍了南京奥林匹克体育中心灯光控制系统的工程设计与实施,并着重介绍了电流检测以及全中文监控软件在灯光控制系统中的应胜.     

Pressure synthesis of dibenzylamine from benzylamine and benzyl alcohol

The synthesis of dibenzylamine from benzylamine and benzyl alcohol in the presence of a phosphoric acid catalyst has been carried out under pressure. Very high pressure has no beneficial effect on the synthesis of dibenzylamine. Under optimum conditions (473K, 3.10×10⁶Nm^?2; residence period 2h; benzylamine to benzyl alcohol mol. ratio, 1:2 and benzylamine to catalyst mol. ratio, 1:0.2174), the conversion of benzylamine to dibenzylamine was 88.50%.     

Macro-to-micro porous special bioactive glass and ceftriaxone-sulbactam composite drug delivery system for treatment of chronic osteomyelitis: an investigation through in vitro and in vivo animal trial

A systematic and extensive approach incorporating in vitro and in vivo experimentation to treat chronic osteomyelitis in animal model were made using antibiotic loaded special bioactive glass porous scaffolds. After thorough characterization for porosity, distribution, surface charge, a novel drug composite were infiltrated by using vacuum infiltration and freeze-drying method which was subsequently analyzed by SEM-EDAX and studied for in vitro drug elution in PBS and SBF. Osteomyelitis in rabbit was induced by inoculation of Staphylococcus aureus and optimum drug-scaffold were checked for its efficacy over control and parenteral treated animals in terms of histopathology, radiology, in vivo drug concentration in bone and serum and implant-bone interface by SEM. It was optimized that 60P samples with 60-65% porosity (bimodal distribution of macro- to micropore) with average pore size ~60 μm and higher interconnectivity, moderately high antibiotic adsorption efficiency (~49%) was ideal. Results after 42 days showed antibiotic released higher than MIC against S. aureus compared to parenteral treatment (2 injections a day for 6 weeks). In vivo drug pharmacokinetics and SEM on bone-defect interface proved superiority of CFS loaded porous bioactive glass implants over parenteral group based on infection eradication and new bone formation.     

Simulation and experimental study of interharmonic performance of a Cycloconverter-FedSynchronous motor drive

High-power synchronous motor drives are usually fed from naturally commutated cycloconverters. The output voltage of the cycloconverter contains interharmonics/subharmonics which affect the power quality and restrict the allowable frequency range. Further, a practical circulating current-free cycloconverter usually gives rise to stator current discontinuities. The present paper deals with a simulation method to study the performance of a cycloconverter-fed synchronous motor drive in the presence of interharmonics/subharmonics taking into account the discontinuities in the output current as well as the effect of ripple in the output current on the input current of the cycloconverter. Interharmonics in output phase voltage, output phase current, input supply current, and the field current are estimated and verified with experimental results on a laboratory prototype. The significant oscillating torque components due to these interharmonics are identified in a typical case. The simulation results are useful in power quality studies for such drives and in devising methods for suppression of these interharmonics/subharmonics.     

Reduced computation blind super-exponential equaliser

Super-exponential blind equalisation methods offer a significant improvement over conventional techniques. The authors propose a new technique, the novel modified eigenvector approach (mEVA), and compare it with the eigenvector approach (EVA). It appears that the mEVA has the same performance as the EVA, but with with significantly reduced computation