The coding and transmission of the massive datasets captured by Earth Observation (EO) satellites is a critical issue in current missions. The conventional approach is to use compression on board the satellite to redu...
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The coding and transmission of the massive datasets captured by Earth Observation (EO) satellites is a critical issue in current missions. The conventional approach is to use compression on board the satellite to reduce the size of the captured images. This strategy exploits spatial and/or spectral redundancy to achieve compression. Another type of redundancy found in such data is the temporal redundancy between images of the same area that are captured at different instants of time. This type of redundancy is commonly not exploited because the required data and computing power are not available on board the satellite. This paper introduces a coding scheme for EO satellites able to exploit this redundancy. Contrary to traditional approaches, the proposed scheme employs both the downlink and the uplink of the satellite. Its main insight is to compute and code the temporal redundancy on the ground and transmit it to the satellite via the uplink. The satellite then uses this information to compress more efficiently the captured image. Experimental results for Landsat 8 images indicate that the proposed dual link image coding scheme can achieve higher coding performance than traditional systems for both lossless and lossy regimes.
In this paper, a sliding mode controller is designed for regulating the output voltage of a double input and high step-up DC-DC converter with three coupled inductors called Y-source impedance network, which can provi...
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In this paper, a sliding mode controller is designed for regulating the output voltage of a double input and high step-up DC-DC converter with three coupled inductors called Y-source impedance network, which can provide a very high boost at lower shoot-through duty cycle of switch and has one more degree of freedom to achieve voltage boost. In the proposed converter, the set of input sources hand over power to the load at the same time or separately, so joining of different new dc energy sources such as wind turbine, solar array, or fuel cell with a battery can be applied as input sources. The proposed controller is robust and stable against variation of load demands and uncertainty of parameters. Simulation results confirm the capability and effectiveness of the proposed control approach.
Quantum key distribution is one of the most fundamental cryptographic protocols. Quantum walks are important primitives for computing. In this paper we take advantage of the properties of quantum walks to design new s...
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Piwi-interacting RNA (piRNA), with 24 to 33 nt, is the largest category of small non-coding RNA (ncRNA) molecules expressed in animal cells. piRNA complexes have been revealed to both epigenetic and post-transcription...
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Piwi-interacting RNA (piRNA), with 24 to 33 nt, is the largest category of small non-coding RNA (ncRNA) molecules expressed in animal cells. piRNA complexes have been revealed to both epigenetic and post-transcriptional regulation in germ line and somatic tissues. Generally, they are distinct from microRNA (miRNA) in size and lack of sequence conservation. In this study, class frequency distribution identified the consensus patterns of piRNA across 9 species. To analyze the mechanism of these consensus patters, 4 target prediction tools were integrated. Furthermore, the GO-Term and pathway enrichment were approached for the functional annotation of these targets. The results indicated that two maximal conserved patterns of piRNA were identified in 8 species, whereas maximal consensus pattern in all of 9 species was TAGCTCAGTCGGTAGAGCA seemed to regulate many human genes which involved in binding and activity molecular function. Additionally, these target genes are associated with a number of rare diseases. We believe that this study will contribute to a better understanding of the functionality of piRNA cross species conserved sequences.
Regression Wavelet Analysis (RWA) is a novel wavelet-based scheme for coding hyperspectral images that employs multiple regression analysis to exploit the relationships among spectral wavelet-transformed components. T...
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Regression Wavelet Analysis (RWA) is a novel wavelet-based scheme for coding hyperspectral images that employs multiple regression analysis to exploit the relationships among spectral wavelet-transformed components. The scheme is based on a pyramidal prediction, using different regression models, to increase the statistical indep.ndence in the wavelet domain. For lossless coding, RWA has proven to be superior to other spectral transform like PCA and to the best and most recent coding standard in remote sensing, CCSDS-123.0. In this paper we show that RWA also allows progressive lossy-to-lossless (PLL) coding and that it attains a rate-distortion performance superior to those obtained with state-of-the-art schemes. To take into account the predictive significance of the spectral components, we propose a Prediction Weighting scheme for JPEG2000 that captures the contribution of each transformed component to the prediction process.
We present a novel biomedical image denoising system that combines Wiener and partial differential equation (PDE) filtering to form a sequential hybrid filter. The local Wiener filter is employed to remove additive Ga...
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We present a novel biomedical image denoising system that combines Wiener and partial differential equation (PDE) filtering to form a sequential hybrid filter. The local Wiener filter is employed to remove additive Gaussian noise in a first step; then, the PDE filter is applied to the resulting filtered image for further noise removal while preserving image edges. Experimental results showed the superiority of the proposed system over using either of the local Wiener filter or PDE filter alone.
It is required to simulate the tactical moving objects such as combat plane, naval vessels, and submarine for performing performance and functional testing of the target management system. It is not possible to collec...
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ISBN:
(纸本)9781467390064
It is required to simulate the tactical moving objects such as combat plane, naval vessels, and submarine for performing performance and functional testing of the target management system. It is not possible to collect tactical moving objects data of various circumstances due to military security. To solve this problem, in this paper, we have proposed a generator of test data set for tactical moving objects. The proposed method is to classify three types of target as combat plane, naval vessels, and submarine, to generate elevation, velocity, and movement of different pattern by target types.
Data transfer rates for aggregated video data stream and within data centers nowadays require an electrical bandwidth up to 100 GHz. This poses big challenges for the design of proper test and measurement solutions, n...
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ISBN:
(纸本)9781467392211
Data transfer rates for aggregated video data stream and within data centers nowadays require an electrical bandwidth up to 100 GHz. This poses big challenges for the design of proper test and measurement solutions, notably related to the acquisition of signals with such a wide bandwidth. To grant sufficient bandwidth and related sample rate, modern oscilloscopes have been using techniques based on frequency-interleaving and time-interleaving, respectively. Earlier this year, an alternative technique has been presented in a white paper [1],[2] based on which an oscilloscope that can offer an electrical bandwidth that is two times that of the adopted ADC has been launched. This result is obtained by combining the operations of a couple of time interleaved channels, each one made up of a mixer followed by an ADC. The paper presents a synchronous time interleaving technique, which can be regarded as an extension of the aforementioned technique. In fact, the proposed technique can be implemented through an architecture that includes four channels, each one including a mixer and an ADC, the latter having an input bandwidth equal to just one fourth the electrical bandwidth achieved by the system.
Patterns provide a mechanism to express parallelism at a high level of abstraction and to make easier the transformation of existing legacy applications to target parallel frameworks. That also opens a path for writin...
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Patterns provide a mechanism to express parallelism at a high level of abstraction and to make easier the transformation of existing legacy applications to target parallel frameworks. That also opens a path for writing new parallel applications. In this paper we introduce the REPARA approach for expressing parallel patterns and transforming the source code to parallelism frameworks. We take advantage of C++11 attributes as a mechanism to introduce annotations and enrich semantic information on valid source code. We also present a methodology for performing transformation of source code that allows to target multiple parallel programming models. Another contribution is a rule based mechanism to transform annotated code to those specific programming models. The REPARA approach requires programmer intervention only to perform initial code annotation while providing speedups that are comparable to those obtained by manual parallelization.
Smart thermostats can play an important role in achieving more economic energy usage in domestic situations. This paper focuses on the energy used for natural gas-based heating, and monitoring of gas usages versus ind...
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Smart thermostats can play an important role in achieving more economic energy usage in domestic situations. This paper focuses on the energy used for natural gas-based heating, and monitoring of gas usages versus indoor and outdoor temperatures over time. Two methods are presented that enable the smart thermostat to learn, over time, characteristics of the house such as heat loss rate and heat capacity. Through this, the thermostat can make some homeowners aware, for example, that there is room for improvement in insulation of the house. The presented methods are able to deal with sensor data with varying extents of imperfection concerning their completeness.
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