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Graph has been widely adopted in Social Network Service (SNS) applications because it is very easy to represent user relationship information. In order to achieve high performance, prevalent algorithms tend to keep the graph data in memory to speed up the data access. However, failing to balance the costs of random access patterns and physical memory consumption hurts the effectiveness. In this paper,...
The adaptive iterative learning control methods is used to control discrete-time systems with time-iteration-varying uncertainties. By exploiting second-order internal model, the time-iteration varying law of uncertainties are derived. A robust adaptive iterative learning control approach is presented for discrete-time systems with exogenous disturbance. The tracking error of the designed adaptive...
“JDLX” mobile application is a curriculum and learning management system which has game features and is designed for college students. To improve classroom efficiency, students' self-management ability and enthusiasm, we studied game and education theories, and built the JDLX mobile app which integrated functions of both game and learning auxiliary management system. In this paper, firstly we introduced...
In this paper, the problem of adaptive controller for Lorenz system with unknown parameters is studied. Based on Lyapunov theory, the novel adaptive controller with logic-based switching mechanism is established. In the process of design, all uncertain parameters are estimated centralized via logic-based switching mechanism to avoid the deterioration of the system performance caused by the successive...
Beacon is an in door positioning system provided by Apple based on BLE (Bluetooth Low Energy) technology. Smart devices, such as iPhone or Android phone can detect advertising signals sent by the low energy consumption tiny device. Notifications will be pushed automatically to the user when smart device with iBeacon Apps come to certain areas. It provides promising and portfolio usage scenarios for...
Hadoop, a distributed system infrastructure, is developed by Apache Software Foundation and has become a mainstream platform of cloud-computing. How to improve one of its core frame work-MapReduce performance has become a hot topic. However, how to get a better computational performance is still a big challenge for programmers. It appears to be many visualization tools for performance analysis and...
Multiple-Input Multiple-Output Cooperative Cognitive Radio Networks (MIMO-CCRNs) have been proposed recently to further improve the spectrum efficiency. In MIMO-CCRNs, secondary users (SUs) equipped with multiple antennas can cooperatively relay the primary signals for the primary users (PUs) while concurrently accessing the same spectrum to send the secondary traffic for themselves. This communication...
Fire codes are cyclic codes generated by the product of two polynomials: a binomial that characterizes the code's guaranteed burst correcting capability and an irreducible polynomial that characterizes the code length. However, the true burst correcting capability of a Fire code may exceed its guaranteed burst correcting capability. The true burst correcting capability of primitive Fire codes, in...
The Snail Trail on micro-cracked cell surface of module are frequently founded at PV system over the past few years. Some studies of this discolored phenomena were mainly focused on some abnormal material or minute quantity of elements, however, the detail mechanism are still not clearly disclosed. In this study, the role of encapsulants, cells and lamination conditions were experimentally studied...
Some may say that PV modules are moving toward being a simple commodity, but most major PV customers ask: “How can I minimize chances of a module recall?” Or, “How can I quantify the added value of a ‘premium’ module?” Or, “How can I assess the value of an old PV system that I'm thinking of purchasing?” These are all questions that PVQAT (the International PV Quality Assurance Task Force) and partner...
The models of PV arrays with centralized maximum power point tracking (MPPT) and distributed MPPT structures were set up and output characteristics of PV arrays were simulated under different light intensity. The maximum power output of PV arrays is reduced to 40W from 85W for centralized MPPT structure when simulating solar light intensity of one of PV arrays is adjusted to 800 W/m2 from 1200 W/m...
In this paper, adaptive iterative learning control scheme is designed for a class of discrete-time uncertain systems with random initial state and unknown control gain. The system uncertainty is generated by a stable high-order internal model. The proposed controller incorporates a projection algorithm. Through rigorous analysis, the asymptotical learning convergence along the iteration axis in a...
The existing algorithms for parameter estimation of attributed scattering model (ASM) usually encounters difficulties in selecting model order, improving estimation accuracy and decreasing computational burden. It is a fact that sparsity is being accepted as a desirable property of a model. The incremental sparse Bayesian learning (ISBL) method is therefore applied to realize the sparsity-driven continuous...
Due to the presence of speckle noise, the detection of edge features from synthetic aperture radar (SAR) images is complicated. In this paper, a new method is proposed for edge detection of polarimetric SAR (Pol-SAR) images, based on the nonsubsampled contourlet transform (NSCT). Firstly, we develop the nonsubsampled contrast pyramid (CP) for polarimetric images by introducing an adaptive optimal...
Based on the border effect and relevant theories, it is found that measurement precision depends on resolution stability which is much higher than resolution itself. With the help of this new theory and the more sensitive discrimination of the border of a fuzzy area, it is possible to greatly improve the measurement precision. Since there are a lot of complicated frequency signals in quantum frequency...
Firstly, an implementation-friendly interpolation filter algorithm is proposed in this paper. It can save 19.6% processing time on average with negligible coding quality degradation. Then based on the proposed algorithm, an optimized interpolation filter VLSI architecture, composed of the reused data path of interpolation, efficient memory organization and the pipeline interpolation filter engine...
A novel phase noise measurement method is proposed based on phase group processing and phase coincidence detection. Using the regularity variation of the phase difference between frequency signals, phase group processing can be made without the normalization of the frequency signals. The phase group characteristics, such as phase group synchronization, and the regularity of phase coincidence detection...
Gene regulation network is playing a more and more important role in system biology, bioinformatics and pharmacology in the era of post-genomic. This paper presents a high efficient and accurate method to model gene regulation network. In the method, we first use an improved Multi-Agent System (Im-MAS) to fuse multiple data sources to generate an initial network, and then we use dynamic Bayesian network...
Based on the achievement of phase coincidence detection, the processing and elimination of quantization error is possible in digital frequency measurement. Because of the limited resolution of phase detection, a fuzzy area is to be formed. The higher precision can be obtained using the border stability of fuzzy areas. The decisive factor of the actual precision is the resolution stability of the border...
A new direct parameter extraction method of small-signal equivalent circuit for radio frequency laterally-diffused Metal Oxide Semiconductor Field Effect Transistor (RF LDMOSFET) with Faraday shield biased in cut-off operation is presented in this paper. A series of analytical equations are derived for non-linear rational function fitting as well as linear regression to measured device frequency response...
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