The data produced in today's Internet and computer world are expanding their wings day by day. With the passage of time, storage and archiving of this data are becoming a significant problem. To overcome this prob...
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The data produced in today's Internet and computer world are expanding their wings day by day. With the passage of time, storage and archiving of this data are becoming a significant problem. To overcome this problem, attempts have been made to reduce data sizes using compression methods. Therefore, compression algorithms have received great attention. In this study, two efficient encoding algorithms are presented and explained in a crystal-clear manner. In all compression algorithms, frequency modulation is used. In this way, the characters with the highest frequency after each character are determined and the Huffman encoding algorithm is applied to them. In this study, the compression ratio (CR) is 49.44%. Moreover, 30 randomly selected images in three different datasets consisting of USC-SIPI, UCID, and STARE databases have been used to evaluate the performance of the algorithms. Consequently, excellent results have been obtained in all test images according to well-known comparison algorithms such as the Huffman encoding algorithm, arithmetic coding algorithm, and LPHEA. (C) 2021 SPIE and IS&T
A novel method, accelerating the method-of-moment (MoM) analysis of large, complex-shaped microstrip antennas, is presented The basic step in the approach is to divide the complex geometry into simpler subdomains, whi...
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A novel method, accelerating the method-of-moment (MoM) analysis of large, complex-shaped microstrip antennas, is presented The basic step in the approach is to divide the complex geometry into simpler subdomains, which immediately means to split the entire large computation into several smaller subproblems. The crux is then to combine the partial solutions to a compressed global moment system, taking into account the symmetries and mutual coupling. The numerical results of the proposed method are compared both to brute-force computations and measurement data. They show excellent agreement, giving, for instance, for the input impedance of a four-patch antenna, an error of less than 0.3%, while the matrix is reduced by a factor of 2.7, requiring only 14% of the initial memory size. (C) 2000 John Wiley & Sons, Inc.
Frequency synthesizer is known as the "heart" of electronic systems, direct digital frequency synthesizer (DDS) relative to the first two generation of frequency synthesis technology has obvious advantages, ...
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Frequency synthesizer is known as the "heart" of electronic systems, direct digital frequency synthesizer (DDS) relative to the first two generation of frequency synthesis technology has obvious advantages, but also existing traditional structure of the DDS output stray too, shortage of output frequency is limited. Aiming at these two problems, the overall structure of DDS is improved by compression algorithm, phase jitter and balanced DAC structure. The parallel phase accumulator is designed with parallel and flow technology, and the output frequency of the system is improved. At the same time, using the FPGA technology, the various modules were implemented by Verilog HDL language design, and finally the modified DDS model was completed based on FPGA design.
ZigBee is a wireless communication technology which based on IEEE 802.15.4 protocol, communicating within short distance and with low power. ZigBee is applied in cantilever beam vibration measurement system in this pa...
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ZigBee is a wireless communication technology which based on IEEE 802.15.4 protocol, communicating within short distance and with low power. ZigBee is applied in cantilever beam vibration measurement system in this paper, and the old wired transmission system are substituted by IEEE 802.15.4, software and sensor circuit are designed, reliable data transmission method and half byte compression algorithm are analyzed, and also provide basis and data analyzing solution for dynamics model of cantilever beam which using piezoelectric transducer. Experimental results show that with wireless ZigBee transmission solution and compression algorithm, the acquisition data of 150 bytes per second can be achieved, which will improve the quality of vibration analysis.
Acoustic attenuation has been proved to be an indicator of stress changes in solid structures. Acoustic coda, as a superposition of incoherent scattered waves, reflects small-scale random heterogeneities in solids. Ac...
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Acoustic attenuation has been proved to be an indicator of stress changes in solid structures. Acoustic coda, as a superposition of incoherent scattered waves, reflects small-scale random heterogeneities in solids. Acoustic coda attenuation, as a combination of intrinsic attenuation and scattering attenuation, contains information on stress changes as a result of changes in the physical state of small-scale heterogeneous structures. Based on the ultrasonic measurements of a rock sample with intra-grain pores and fractures under different pore-pressure induced effective stresses, we compute the stress-associated coda attenuation quality factorsQPCandQSCas a function of frequencies. Based on the digital heterogeneous cores of the sample, the experimental results are validated and corrected with numerical results by the finite-difference simulation of Biot’s poroelastic equations and the Monte Carlo simulation of multiple scatterings, respectively. The quality factors characterize its scale dependence of scattering attenuation on stress variations in rocks. We compare them with the intrinsic attenuation quality factorsQPandQScalculated by the spectral ratio method and BISQ model, respectively, from ultrasonic measurements. Comparisons demonstrate that the scattering attenuation is much stronger, particularly when ultrasonic wavelengths are comparable to the scale of pores and grains. The intrinsic and coda attenuations versus increasing effective stresses present quite different nonlinear features, whereQPCandQSCshow a greater sensitivity to pore pressure thanQPand QS.
An efficient fast direct algorithm based on the hierarchical (H) matrices is presented for solution of the radiation problems on piecewise homogeneous dielectric objects using Method of Moment (MoM) discretization of ...
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An efficient fast direct algorithm based on the hierarchical (H) matrices is presented for solution of the radiation problems on piecewise homogeneous dielectric objects using Method of Moment (MoM) discretization of the surface-volume-surface electric field integral equation (SVS-EFIE). The SVS-EFIE for the composite objects introduces independent surface electric current density on the boundary of each region. Therefore, different from the traditional Poggio-Miller-Chang-Harrington-Wu-Tsai formulation, in the SVS-EFIE, the object regions can be meshing independently according to their local properties which improves the flexibility and efficiency of the proposed method. It also makes the proposed algorithms appropriate for the analysis of both multiscale and large-scale composite structures. The numerical results from the proposed fast method are provided for the high-loss biological tissues from bioelectromagnetics applications and agree well with the analytical Mie series solution and commercial software. The CPU time and memory cost of the required H-matrix operations are analyzed in details and verified through several numerical experiments. The new computational framework allows for fast direct solution of 3-D radiation and scattering problems of moderate electrical size with O(P-alpha log(2) P) CPU time and O(P-alpha log P) memory complexity, P being the number of surface unknowns produced by the MoM discretization, and 1 <= alpha <= 1.5 being a geometry-dependent parameter.
A smart transducer is the integration of a sensor/actuator element, a processing unit, and a network interface. Smart sensor networks are composed of smart transducer nodes interconnected through a communication netwo...
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A smart transducer is the integration of a sensor/actuator element, a processing unit, and a network interface. Smart sensor networks are composed of smart transducer nodes interconnected through a communication network. This paper presents an event driven smart sensor network architecture (asynchronous data) and its respective implementation based in the IEEE 802.15.4 standard. The events are derived from a data compression algorithm embedded into the smart sensor, which compresses data from the sensor. The architecture also supports configuration and monitoring activities for the over all distributed system.
Prestack reverse time migration (RTM) requires extensive data storage since it computes wavefields in forward time and accesses wavefields in reverse order. We first review several successful schemes that have been pr...
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Prestack reverse time migration (RTM) requires extensive data storage since it computes wavefields in forward time and accesses wavefields in reverse order. We first review several successful schemes that have been proposed to reduce data storage, but require more computational redundancies. We propose two effective strategies to reduce data storage during RTM. The first strategy is based on the Nyquist sampling theorem, which involves no extra computational cost. The fact is that the time sampling intervals required by numerical algorithms or given by field records is generally several times smaller than that satisfied by the Nyquist sampling theorem. Therefore, we can correlate the source wavefields with the receiver wavefields at the Nyquist time step, which helps decrease storage of time history. The second strategy is based on a lossless compression algorithm, which is widely used in computer science and information theory. The compression approach reduces storage significantly at a little computational cost. Numerical examples show that the two proposed strategies are effective and efficient.
A decimal notation satisfies many simple mathematical properties, and it is a useful tool in the analysis of trees. A practical method is presented, that compresses the decimal codes while maintaining the fast determi...
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To improve the storage space of finite automata on regular expression matching, the paper researches the main idea of the delayed input DFA algorithm based on bounding default path, and analyses the algorithm problem ...
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To improve the storage space of finite automata on regular expression matching, the paper researches the main idea of the delayed input DFA algorithm based on bounding default path, and analyses the algorithm problem when bounding small length default path. Then we propose optimized algorithm based on weight first principle and node first principle and assess them on the actual rule set, the results show that the optimized algorithm could effectively improve the compression ratio when the default path is bounded small.
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