An optical spectrometer is a modern tool for the major biochemical components determining under field conditions. Our report focuses on hardware-software complex, spectral and computing blocks, and methods for the chl...
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An optical spectrometer is a modern tool for the major biochemical components determining under field conditions. Our report focuses on hardware-software complex, spectral and computing blocks, and methods for the chlorophyll content estimation. Our two-beam spectrometer of high resolution supplied by a system to visualize of measured objects. The method for chlorophyll estimation in vegetation using principal component analysis is proposed. Methods give good results for plant-soil systems with both 100% and incomplete projective covering as our simulation models shown. Field measurements of chlorophyll content in closed and open canopies confirm the results.
This paper focuses on design of instrumentation for nondestructive inspection of underground casing pipes, utilizing pulsed remote field technique. The presented inspection tool is designed for high-temperature enviro...
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This paper focuses on design of instrumentation for nondestructive inspection of underground casing pipes, utilizing pulsed remote field technique. The presented inspection tool is designed for high-temperature environment operation, based on a principle of combining thermally `uprated' commercial-grade components with application-specific, high-temperature rated parts. Key design issues regarding the expected measurement performance and reliability of the tool are discussed. Results of laboratory tests have confirmed practical usability of the developed inspection tool for a targeted harsh-environment application
In the recent years a lot of research effort is being spent in the areas of nanotechnology, quantum computation, and biologically inspired computing. In this miniaturized computing era, device sizes are in the range o...
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In the recent years a lot of research effort is being spent in the areas of nanotechnology, quantum computation, and biologically inspired computing. In this miniaturized computing era, device sizes are in the range of several nanometers and hence amenable to high degree of failures. These computing designs must be evaluated from a circuit and system perspective, in terms of the four key metrics: power, performance, robustness and reliability. However, a matter of concern over here is that the technology of the small will be ridden with random faults and manufacturing defects. Hence, design strategies need to change to take into account of these hypothetical models of failures to build a robust design. The main objective of the paper is to propose two reliable solutions towards the possible faults in Molecule-based memories. One of the solutions encourages using redundant memories to sustain the defects. Another solution introduces the concept of sensing the stored data in the memory. There may be an overhead of redundancy and computation in these solutions. But it will ensure a fault tolerant system. Moreover, in this kind of miniscule technology those overheads can be tolerated and can be compensated from its highperformance with low power utilization, reduced size and cost.
This study investigates the potential of classifying complex ecosystems by applying the radial basis function (RBF) neural network architecture, with an innovative training method, on multispectral very high spatial r...
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ISBN:
(纸本)0819451150
This study investigates the potential of classifying complex ecosystems by applying the radial basis function (RBF) neural network architecture, with an innovative training method, on multispectral very high spatial resolution satellite images. The performance of the classifier has been tested with different input parameters, window sizes and neural network complexities. The maximum accuracy achieved by the proposed classifier was 78%, outperforming maximum likelihood classification by 17%. Analysis showed that the selection of input parameters is vital for the success of the classifiers. On the other hand, the incorporation of textural analysis and/or modification of the window size do not affect the performance substantially. The new technique was applied to the area of Lake Kerkini (Greece), a wetland of great ecological value, included in the NATURA 2000 list of ecosystems.
high resolution images are nowadays a common source of data for many different applications;let us consider, for instance, hyperspectral images for remotesensing and geographic information systems. This kind of image...
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ISBN:
(纸本)0819451215
high resolution images are nowadays a common source of data for many different applications;let us consider, for instance, hyperspectral images for remotesensing and geographic information systems. This kind of images allows for exhaustive analysis and provides good classification performance due to their high resolution (either bits per pixel, spatial, or spectral resolution). Nevertheless, this same high resolution, as well as their huge size, imposes a large demand of memory capability and channel bandwidth. To deal with this problem, lossy encoding of such images may be devised. Well known lossless and lossy image coding techniques have been used, but remotesensing and geographic information systems applications have some particular requirements that are not taken into account by the classical methods. There is therefore a need to investigate new approaches of image coding for these applications.
This paper describes a high-performance strain sensing microsystem with a remote RF powering capability. A MEMS capacitive strain sensor converts an input strain to a capacitance change with a sensitivity of 26.5 aF p...
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A novel procedure which aims in increasing the spatial resolution of multispectral data and simultaneously creates a high quality RGB fused representation is proposed in this paper. For this purpose, neural networks a...
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ISBN:
(纸本)0819455202
A novel procedure which aims in increasing the spatial resolution of multispectral data and simultaneously creates a high quality RGB fused representation is proposed in this paper. For this purpose, neural networks are employed and a successive training procedure is applied in order to incorporate in the network structure knowledge about recovering lost frequencies and thus giving fine resolution output color images. MERIS multispectral data are employed to demonstrate the performance of the proposed method.
Spatial applications will gain high complexity as the volume of spatial data increases rapidly. A suitable data processing and computing infrastructure for spatial applications needs to be established. Over the past d...
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ISBN:
(纸本)3540221298
Spatial applications will gain high complexity as the volume of spatial data increases rapidly. A suitable data processing and computing infrastructure for spatial applications needs to be established. Over the past decade, grid has become a powerful computing environment for data intensive and computing intensive applications. In this paper, we tested and analyzed the feasibility of using Grid platform for spatial analysis functionalities in Geographic Information System (GIS). We found that spatial interpolation, buffers, and spatial query can be easily migrated to Grid platform. Polygon overlay and transformation could achieve better results on Grid platform. To do network analysis and spatial statistical analysis on Grid platform could be no significant improvement of performance. The most un-suitable spatial analysis on Grid platform is the spatial measurement.
A portable programmable opto-electronic analogic CNN computer (Laptop-POAC) has been built and used to recognize and track targets. Its kernel processor is a novel type of highperformance optical correlator based on ...
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ISBN:
(纸本)0819455660
A portable programmable opto-electronic analogic CNN computer (Laptop-POAC) has been built and used to recognize and track targets. Its kernel processor is a novel type of highperformance optical correlator based on the use of bacteriorhodopsin (BR) as a dynamic holographic material. This optical CNN implementation combines the optical computer's high speed, high parallelism (approximate to10(6) channel) and large applicable template sizes with flexible programmability of the CNN devices. Unique feature of this optical array computer is that programining templates can be applied either by a 2D acousto-optical deflector (up to 64x64 pixel size templates) incoherently or by an LCD-SLM (up to 128x 128 size templates) coherently. So it can work both in totally coherent and partially incoherent way, utilizing the actual advantages of the used mode of operation. Input images are fed-in by a second LCD-SLM of 600x800 pixel resolution. Evaluation of trade-off between speed and resolution is given. Novel and effective target recognition and multiple-target-tracking algorithms have been developed for the POAC. Tracking experiments are demonstrated. Collision avoidance experiments are being conducted. In the present model a CCD camera is recording the correlograms, however, later a CNN-UM chip and a high-speed CMOS camera will be applied for post-processing.
Computational simulations generate vast amounts of data that require effective storage, and retrieval technologies. Traditional file access interfaces rely on ubiquitous transports that impose severe restrictions on p...
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ISBN:
(纸本)078038783X
Computational simulations generate vast amounts of data that require effective storage, and retrieval technologies. Traditional file access interfaces rely on ubiquitous transports that impose severe restrictions on performance and prove insufficient for adaptation to parallel Input/Output (I/O). remote Direct Memory Access based (RDMA-based) approaches are aimed at moving data between different process address spaces with streamlined mediation and reduced involvement of the operating system using synchronization semantics that are different from ubiquitous transports. While currently available RDMA-based file systems are not designed for parallel I/O, very few parallel file systems that are available today, benefit from the capabilities of RDMA completely. This paper analyzes the adaptability of RDMA-based transports to parallel I/O, by using a commercial grade implementation of MPI, coupled with a complete, stable DAFS implementation. Combining RDMA semantics with parallel I/O that provide overlapping communication and computation and bandwidth enhancement leads to overhead reduction, allowing more CPU usage by applications. This paper also shows that significant parallel I/O performance can be achieved by intelligent middleware, without any specific requirement on the filesystem.
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