To obtain high dynamic range or hyperspectral images, multiple frames of the same field of view are acquired while the imaging settings are modulated;images are taken at different exposures or through different wavele...
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To obtain high dynamic range or hyperspectral images, multiple frames of the same field of view are acquired while the imaging settings are modulated;images are taken at different exposures or through different wavelength bands. A major problem associated with such modulations has been the need for perfect synchronization between image acquisition and modulation control. In the past, this problem has been addressed by using sophisticated servo-control mechanisms. In this work, we show that the process of modulation imaging can be made much simpler by using vision algorithms to automatically relate each acquired frame to its corresponding modulation level. This correspondence is determined solely from the acquired image sequence and does not require measurement or control of the modulation. The image acquisition and the modulation work continuously, in parallel, and independently. We refer to this approach as computational synchronization. It makes the imaging process simple and easy to implement. We have developed a prototype modulation imaging system that uses computational synchronization and used it to acquire high dynamic range and multispectral images.
The thermal environment in urban areas is characterized by the heat island phenomenon. To estimate the thermal conditions of land surfaces by satellite, it is necessary to find the relationship between the surface tem...
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The thermal environment in urban areas is characterized by the heat island phenomenon. To estimate the thermal conditions of land surfaces by satellite, it is necessary to find the relationship between the surface temperature and land cover type. The most widely used vegetation index for ecological application is the Normalized Difference Vegetation Index (NDVI). We studied the correlation between NDVI values and the surface temperature in our study area. NDVI uses radiance values or apparent reflectance values of the red and the near-infrared spectral bands. These reflectance values are influenced by the atmospheric aerosols. In order to calculate accurate NDVI values (aerosol-free NDVI), we first estimated the surface reflectance at visible bands by using our atmosphere-ground surface system based on the aerosol observation data. At the test site, we measured the aerosol optical thickness of visible bands using a sky radiometer, and we measured the air temperature and humidity by using a thermometer-hygrometer with a data logger. In this paper, we show the variations of aerosol optical thickness in the spring and summer and demonstrate the correlation between the surface temperatures of ASTER level 2B products and our observed screen temperatures.
An approach for real-time analyses, estimation and prognoses of strong motion seismic waves with stochastic modeling and neural network is presented. As input information are given the parameters of recorded part of a...
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An approach for real-time analyses, estimation and prognoses of strong motion seismic waves with stochastic modeling and neural network is presented. As input information are given the parameters of recorded part of accelerogram, principle axis transform and spectral characteristics of the wave. With the help of stochastic long range dependence time series analyses is determined the beginning of destructive phase of strong motion acceleration. The suggested approach gives possibility to classify seismic waves from recorded part of the wave to certain class, according to developed seismic waves classification. For different kind of classified waves are suggested different kind prognoses models. The prognoses is realized with the help of neural network, build on the principle of vector quantization. For prognoses of destructive phase of strong motion waves is suggested scene-oriented model. The determined statistical function of density distribution of recorded data from accelerogram are generating in real time. The received destructive phase prognoses of strong motion waves can be used in devices for structural control. Examples of received prognoses are compared with real data of strong motion waves. Simulation and numerical results are shown.
In biology, manipulating a micro-scale object such as chromosome, nucleus or embryo has been an important issue. For instance, skillful manipulation of the embryo cell in the biological experiment requires many years ...
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ISBN:
(纸本)3540220070
In biology, manipulating a micro-scale object such as chromosome, nucleus or embryo has been an important issue. For instance, skillful manipulation of the embryo cell in the biological experiment requires many years experience with a complex setup. Moreover, such process is usually very slow and requires many hours of intense operations such as trying to find the position of the cell within a petri dish and injecting a pipette to the cell from the best orientation. We have designed a new vision system, by which it finds the region of the mouse embryo cell, and then tracks the nucleus and the polar body within the cell, respectively, using the deformable template algorithm. Performance of the system is compared to the manual case.
A recent trend in ad hoc network routing is the reactive on-demand philosophy where routes are established only when required. Most of the protocols in this category, however, use single route and do not utilize multi...
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ISBN:
(纸本)088986411X
A recent trend in ad hoc network routing is the reactive on-demand philosophy where routes are established only when required. Most of the protocols in this category, however, use single route and do not utilize multiple alternate paths. This paper proposes a scheme to improve existing on-demand routing protocols by introducing the power aware virtual node scheme in whole scenario. The scheme establishes the multi paths without transmitting any extra control message. It offers quick adaptation to distributed processing, dynamic linking, low processing and memory overhead and loop freedom at all times. It also uses the concept of Power awareness among route selection nodes and concept of Virtual Nodes which insures fast selection of routes with minimal efforts and faster recovery. The scheme is applied to the Ad-hoc On-Demand Distance Vector (AODV) protocol and the performance has been studied through simulation.
Optimal puncturing ratios for parallel concatenated codes with two or more constituent codes are found using extrinsic information transfer functions. These ratios minimise the signal-to-noise ratio convergence thresh...
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Optimal puncturing ratios for parallel concatenated codes with two or more constituent codes are found using extrinsic information transfer functions. These ratios minimise the signal-to-noise ratio convergence threshold and provide additional degrees of freedom for constructing codes with low thresholds over a wide range of code rates.
This work describes the analysis of multilayered power distribution networks that include signal lines and vias. The signal lines are modeled as transmission lines, and vias are represented as not only self and mutual...
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This work describes the analysis of multilayered power distribution networks that include signal lines and vias. The signal lines are modeled as transmission lines, and vias are represented as not only self and mutual inductances but also include retardation currents. The structures have been analyzed using the transmission matrix method (TMM) in the frequency domain. Analysis using the TMM provides considerable savings in memory compared to SPICE.
This paper introduces the model theory and acousto-optic effect in the optical fiber sensor. Firstly, the general theories have been discussed for understanding the mechanism of interaction between acoustic and optica...
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This paper introduces the model theory and acousto-optic effect in the optical fiber sensor. Firstly, the general theories have been discussed for understanding the mechanism of interaction between acoustic and optical waves. Secondly, the electric equivalence model of the optical fiber sensor is introduced. Finally, the computer simulation of the model has been made.
The routing algorithms for multimedia communication should use for routing more than one QoS parameter. This is because new services such as video on demand and remote meeting systems require better QoS. However, the ...
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ISBN:
(纸本)0769520510
The routing algorithms for multimedia communication should use for routing more than one QoS parameter. This is because new services such as video on demand and remote meeting systems require better QoS. However, the problem of QoS routing is difficult and to find a feasible route with two independent path constraints is NP-complete. Also, QoS routing algorithms for broadband networks must be adaptive, flexible, and intelligent for efficient network management. In this paper, we propose a multipurpose optimization method for QoS routing based on Genetic Algorithm (GA). The simulation results show that proposed method has a good performance and is a promising method for QoS routing.
Representation of speech is complete when both the Fourier transform magnitude and phase spectra are used to extract features. But speech is conventionally represented by features derived from the Fourier transform ma...
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Representation of speech is complete when both the Fourier transform magnitude and phase spectra are used to extract features. But speech is conventionally represented by features derived from the Fourier transform magnitude spectra. In this paper, we propose an alternative representation of speech which uses the modified group delay function derived from the Fourier transform phase spectra. Cepstral features are derived from the modified group delay function. These features are called the modified group delay feature (MODGDF). Robustness of the MODGDF to convolutional and additive noise are then analyzed mathematically. Class separability and task independence of the MODGDF is then illustrated via the sequential forward search feature selection method. The results of performance evaluation of the MODGDF for four speech processing tasks phoneme recognition, syllable recognition, speaker identification, and language identification are presented. Motivated by the results of feature evaluation and performance evaluation, the MODGDF is proposed as an alternative representation of speech.
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