The third international Telecommunication Union Telecommunication Standardization Sector (ITU-T) Kaleidoscope Academic conference, held in India, 13 17 December, 2010, focused on innovations for digital inclusion and ...
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The third international Telecommunication Union Telecommunication Standardization Sector (ITU-T) Kaleidoscope Academic conference, held in India, 13 17 December, 2010, focused on innovations for digital inclusion and the conference title was 'Beyond the internet-innovations for future networks and services'. 'A user-centric approach to QoS regulation in future networks', presented by Eva Ibarrola, won the first prize for the best paper category. 'How can an ISP merge with a content delivery network (CDN)?' presented by Kideok Cho, won the second prize. 'Introducing elasticity and adaptation into the optical domain toward more efficient and scalable optical transport networks', presented by Masahiko Jinno, won third prize. One particular innovation in the 2010 conference was a special session called 'Jules Verne's (JV) corner', designed to stimulate leaps of imagination into the future telecommunication.
In conventional three-dimensional Inverse Synthetic Aperture Radar (ISAR) imaging, high range-resolution is attained by transmitting a wideband signal and high cross-range resolution is attained by increasing the obse...
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ISBN:
(纸本)9781457701726
In conventional three-dimensional Inverse Synthetic Aperture Radar (ISAR) imaging, high range-resolution is attained by transmitting a wideband signal and high cross-range resolution is attained by increasing the observation azimuth and elevation. Consequently, large collection time and data storage is needed for this three-dimensional imaging method. This paper presents three-dimensional imaging approaches by using the sparse measurements and convex optimization. This approach could decrease data collection time and data storage amount greatly;the proposed approaches have been verified using numerical simulations of point target, which show that it could recover the image exactly and maintain the imaging resolution.
The increasing use of health information technology (HIT) is due to a rising interest in improving the quality of health care. HIT has the potential to reduce cost and transform services. Proper clinical support syste...
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ISBN:
(纸本)9781424441211
The increasing use of health information technology (HIT) is due to a rising interest in improving the quality of health care. HIT has the potential to reduce cost and transform services. Proper clinical support systems will contribute to the meaningful use of HIT systems by providing a wide array of data to clinicians for the diagnosis and treatments. Clinical guidelines, created by a consensus of experts, can be put in place to assist physicians in making clinical decisions. Delphi methods are commonly used to create consensus from surveys completed by a team of experts. imagebased studies could create guidelines that standardize severity, deformity or other clinical classifications. As these studies were traditionally conducted using paper based media, the cost and time requirement often make the process impractical. Ware proposing a web based system to aid medical researchers in conducting imagebased Delphi studies for improved clinical guidelines and decision support.
Great changes have already been and are still taking place in Chinese economic and social life since early 90s, which as a result brings significant pressure to the transportation systems of almost all Chinese big cit...
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Great changes have already been and are still taking place in Chinese economic and social life since early 90s, which as a result brings significant pressure to the transportation systems of almost all Chinese big cities. By the researching currently, not only traffic signal control systems but also traffic guidance and services systems, are all strategies used in two-dimension. Building integrative transportation data base based on remote sensing technology can construct transport management systems in there-dimension. This paper analyzes how to combine remote sensing technology with transport management, puts forward formation of integrative transport data base and describes its applications in the future.
Spike-basedsystems are neuro-inspired circuits implementations traditionally used for sensory systems or sensor signal processing. Address-Event-Representation (AER) is a neuromorphic communication protocol for trans...
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ISBN:
(纸本)9789898425720
Spike-basedsystems are neuro-inspired circuits implementations traditionally used for sensory systems or sensor signal processing. Address-Event-Representation (AER) is a neuromorphic communication protocol for transferring asynchronous events between VLSI spike-based chips. These neuro-inspired implementations allow developing complex, multilayer, multichip neuromorphic systems and have been used to design sensor chips, such as retinas and cochlea, processing chips, e.g. filters, and learning chips. Furthermore, Cellular Automata (CA) is a bio-inspired processing model for problem solving. This approach divides the processing synchronous cells which change their states at the same time in order to get the solution. This paper presents a software simulator able to gather several spike-based elements into the same workspace in order to test a CA architecture based on AER before a hardware implementation. Furthermore this simulator produces VHDL for testing the AER-CA into the FPGA of the USB-AER AER-tool.
Considering of large amount of data and complexity of calculating in recognition of weeds from cotton fields, the research on real-time recognition of weeds from cotton fields was developed based on DSP chip TMS320DM6...
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Considering of large amount of data and complexity of calculating in recognition of weeds from cotton fields, the research on real-time recognition of weeds from cotton fields was developed based on DSP chip TMS320DM642. The structure and feature of TMS320DM642 had been analyzed. Also several image processing procedures, including image segmentation, image filter processing, division of spray area and weed recognition whose rate is 86.7% had been studied. Because of quick image processing of DSP, real-time recognition of weed in cotton fields was increased. The average time of processing an image is 976.3ms, which can make the movement speed of weeds on the platform faster than 0.2m/s. The tests showed that real-time recognition system can meet the requirements of precise spraying on target in cotton fields.
Thanks to the internet development, a surveillance user can monitor the distant events via a browser on a computer. These events can be even viewed on a mobile phone with the assistance from modern mobile networks. Be...
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Thanks to the internet development, a surveillance user can monitor the distant events via a browser on a computer. These events can be even viewed on a mobile phone with the assistance from modern mobile networks. Besides, two well-known platforms - OSGi and OpenCV are widely used for application construction. OSGi is constructed to provide a service platform with high application interoperability while OpenCV is used to provide a bundle of application programming interfaces (APIs) about image processing. In this paper, we design a recognition assisted surveillance system based on OSGi service platform and the OpenCV development platform. The system features dynamic monitoring by use of a camera mounted on an embedded system which is carried by a robot and a J2ME based viewer/commander program on a mobile phone. The successful implementation removes the barrier that hinders the user from clear recognizing the objects in the limited screen of mobile phones.
Fire detection is very important in safety area, and at all times it is a difficult problem in coal mine. In this paper, a real-time fire-detector algorithm is proposed. In early stage there is no evident flame, and t...
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Fire detection is very important in safety area, and at all times it is a difficult problem in coal mine. In this paper, a real-time fire-detector algorithm is proposed. In early stage there is no evident flame, and the temperature is low, the visible light is scarce, so the signal is difficult to achieve by ordinary color CCD. Here infrared CCD is employed as a probe, and obtained infrared image is input the computer, then fire recognition is determined based on image processing. Firstly, the grey scale binary image is partitioned by entropy threshold method and then smoothed by Median filtering. Then significant characteristics of flame are extracted and after normalization the foregoing data are input neutral network for recognition. All of the above clues are combined to reach a final decision. Experiment results show that the proposed method is successful in detecting fire or flames. In addition, it reduces the false alarms remarkably. It is also shown that the method works in a variety of conditions. The system has high validity and accuracy.
Steady-State Visual Evoked Potentials (SSVEPs) are one of the most important EEG signals used in Human Computer Interface (HCI) systems. These signals are generated by Looking at flickering external light sources stim...
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Steady-State Visual Evoked Potentials (SSVEPs) are one of the most important EEG signals used in Human Computer Interface (HCI) systems. These signals are generated by Looking at flickering external light sources stimulating the central part of the retina. By increasing the number of external light sources, detection of the corresponding SSVEPs from the recorded EEG signal becomes more complicated. On the other hand, the ratio of the sensitivity to specificity in high-speed classifiers becomes more significant. This study presents the effect of the twinkling frequencies and the inter-sources distance of two Light Emitting Diodes (LEDs) on the ratio of the sensitivity to specificity of the two classes. The features used for signal classification is the amplitude of the main frequencies in the spectrum of each frequency pairs that is simply classified by the Max classifier. The purpose of this is to find the best twinkling frequencies and the best inter-sources distance among a set of predefined values when there are only two light sources in order to nearly equalize the sensitivity and the specificity. For this aim, seven different frequency pairs of LEDs in five distinct inter-sources distances are examined and it is shown that the best frequency pair is 10 and 15 Hz with inter-sources distances of 24 or 44 cm.
Large aperture optical system is required for high resolution and high signal to nose ratio remote sensing observations. In this case, adaptive optics is used to compensate the wavefront aberration generated by the mi...
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Large aperture optical system is required for high resolution and high signal to nose ratio remote sensing observations. In this case, adaptive optics is used to compensate the wavefront aberration generated by the misalignment or the thermal deformation of the optical elements. We use a liquid crystal on silicon spatial light modulator (LCOS-SLM) for the optical wavefront control, and image-based wavefront sensing which realize simple hardware architecture. For image-based sensing, a priori information is required in addition to the acquired images. We use phase diversity (PD) wavefront sensing method which applies a priori information called PD to the optics. By using PDs and acquired images, we can estimate arbitrary wavefront aberration. In this case, the sensitivity of the acquired image to the aberration mode depends on the applied PD. We use LCOS-SLM to apply the optimal set of PDs. We constructed adaptive optics system testbed using LCOS-SLM and USB camera. In this system, we used a Shack-Hartmann wavefront sensor (SHWS) to compare the estimated wavefront aberration with the actual wavefront measured by the SHWS. The laboratory test results show that the proposed system improves the optical performance of the remote sensing sensors.
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