Let Rat_k (CP~n) denote the space of based holomorphic maps of degree k from the Riemannian sphere S~2 to the complex projective space CP~n. The basepoint condition we assume is that f(∞) = [1,...,1]. Such holomorphi...
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Let Rat_k (CP~n) denote the space of based holomorphic maps of degree k from the Riemannian sphere S~2 to the complex projective space CP~n. The basepoint condition we assume is that f(∞) = [1,...,1]. Such holomorphic maps are given by rational functions.
Simulation of the electrical and optical response of a multilayer thin film composed of lossless material coupled with adjacent lossy material in an alternating arrangement when applying a transverse voltage across th...
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Simulation of the electrical and optical response of a multilayer thin film composed of lossless material coupled with adjacent lossy material in an alternating arrangement when applying a transverse voltage across the multilayer thin film is conducted using a polynomial approach. The modelling of the lossy-lossless multilayer thin film is a generalization of our previous work on multilayer thin film made up of alternating lossy-lossy materials. It is the propagation matrix of the electromagnetic wave in the thin film that governs its propagation, while the interface matrix represents the coupling between layers at an interface. The present solution models the multilayer thin film as an effective capacitor constructed from a series of coupled capacitors, with every layer being considered as a capacitor coupled to the next. A transverse voltage can affect the amounts of electric charges that accumulate at the interface between adjacent "capacitors'. The present model is constructed to describe nonmagnetic, lossy and lossless materials. With the aid of a home-developed code implementing the model, the reflection and transmission of multilayer Ge/MgO thin films are simulated. By tuning the transverse electric potential, geometrical and electrical parameters of an arbitrary lossy-lossless multilayer thin film, the code is capable of predicting nontrivial optical responses in terms of T(lambda), R(lambda), Phi(T)(lambda), OR(lambda). The code can serve as a useful tool for designing and optimizing lossless-lossy or lossless-lossless multi layer thin films to deliver desired optical functions.
This paper presents a novel complex-valued polynomial model (CPM) for real-valued prediction and classification problems. In a CPM, function, independent variables and dependent variables are complex-valued. Before CP...
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This paper presents a novel complex-valued polynomial model (CPM) for real-valued prediction and classification problems. In a CPM, function, independent variables and dependent variables are complex-valued. Before CPM optimization, real-valued data need to be converted into complex values. As the linear version of additive tree model, additive expression tree is proposed to optimize the complex-valued structure of CPM. Real parts and imaginary parts of the complex-valued coefficients are encoded into a chromosome and brain storm optimization is utilized to evolve the complex-valued coefficients of CPM. CPM is utilized to predict three financial datasets and classify n-class problems. The prediction results show that CPM presents higher forecasting accuracy than real-valued polynomial model, other real-valued neural networks and ordinary differential equation. The classification performance of CPM is compared with existing methods on IRIS, Liver and Ionosphere datasets. And the results reveal that CPM performs better than well-established and newly proposed real-valued classifiers.
A multivariable polynomial model is introduced to describe n-state spatio-temporal systems. Based on this model, a new neighborhood detection and transition rules determination method is proposed. Simulation results i...
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A multivariable polynomial model is introduced to describe n-state spatio-temporal systems. Based on this model, a new neighborhood detection and transition rules determination method is proposed. Simulation results illustrate that the new method performs well even when the patterns are corrupted by static and dynamical noise.
The problem of analyzing and modeling incomplete longitudinal data arising from clinical and epidemiological studies are discussed, A method for handling arbitrarily missing observations under the intra class correlat...
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The problem of analyzing and modeling incomplete longitudinal data arising from clinical and epidemiological studies are discussed, A method for handling arbitrarily missing observations under the intra class correlation structure and a polynomial model is developed. Explicit expressions for likelihood equations and information matrix for a second degree polynomial model are provided. The method is illustrated through an example.
Korean coastal regions have large mudflats that shelter endangered migratory birds and many prosperous ecosystems inhabited by various species living in clusters. To recognize the topographical and environmental chara...
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Korean coastal regions have large mudflats that shelter endangered migratory birds and many prosperous ecosystems inhabited by various species living in clusters. To recognize the topographical and environmental characteristics of the coastal regions and to systematically manage them, it is essential to obtain topographical maps of the geographical and environmental characteristics. In particular, the height information of the mudflats is critically important in monitoring changes caused by either natural or artificial influences. Recently, Unmanned Aerial Vehicles (UAV) are shown to be potential candidates in preparing accurate Digital Elevation models (DEMs) of a terrain. But a major problem in using UAVs is that it is almost impossible to conduct a field survey of Ground Control Points (GCPs). This is because the mudflat areas are not easy to approach places where the proportion of silt and clay content is very high. Without GCPs, the DEM produced from the UAV images and photogrammetric software tend to show a nonlinear distortion due to the aerial triangulation errors. Therefore, we propose a least-square height-difference DEM matching with a polynomial model. This method uses a reference DEM obtained from aerial images to compensate for the location error and the aforementioned nonlinear distortion. Experimental results showed that this significant DEM error modeling was possible with curvilinear translation and constant rotation parameters along the diagonal direction of the test DEM that significantly reduce the location errors and almost eliminate the nonlinear distortion of the UAV-derived DEM.
Recently, because of limited power in wireless sensor networks (WSNs), many of hierarchical routing protocols have been proposed as an efficient mechanism for reducing energy. The most popular one is LEACH for "L...
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ISBN:
(纸本)9781450364621
Recently, because of limited power in wireless sensor networks (WSNs), many of hierarchical routing protocols have been proposed as an efficient mechanism for reducing energy. The most popular one is LEACH for "Low Energy Adaptive Clustering hierarchy". Depending on multiple and complicated tasks, sensor nodes can't survive longer and die after a duration due to the scarce of energy provided by a battery. So, piloting the entire sensor networks with limited resources of energy is a big challenge due to the diversity of factors that impact energy. In this contest and basing on the LEACH protocol, we have modelized and optimized some aspects of energy in WSN using a design of experiment strategy. Indeed, basing on the power of polynomial equations drawn from the limited development of Taylor-Mac Laurin, we have optimized and explained perfectly some energetic phenomena in wireless sensor networks.
A linearization circuitry of miss-tuned envelope injection (MTEI) method is proposed to eliminate intermodulation distortion (IMD) and memory effects of power amplifier (PA). A novel analysis approach using PA polynom...
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ISBN:
(纸本)9781424437092
A linearization circuitry of miss-tuned envelope injection (MTEI) method is proposed to eliminate intermodulation distortion (IMD) and memory effects of power amplifier (PA). A novel analysis approach using PA polynomial model to analyze its validity is proposed. By injecting both envelope signal and faded two-tones with their IMD products into original two-tone signal, PA's IMD components can be cancelled out, which can overcome the drawback of high power input limit for traditional envelope injection. Two circuitry structures are presented: Direct Envelope Injection (DEI) and Forward Miss-tuned Envelope Injection (FMTEI) structures. Simulation results for 2.1GHz PA show that at 33dBm output, -73dBc and -89dBc third-order IMD suppression (IMD3) can be achieved for DEI and FMTEI respectively, which are 35dB and 51dB better than that without linearization. For FMTEI, amplitude domain compensation for IMD3 shows a broad dynamic output range of 30dBm similar to 50dBm. Frequency domain compensation for IMD3 shows a good memory effects cancellation compared with an RF analog predistorter. The 16-QAM signal application shows 11dB similar to 12dB ACPR improvement with FMTEI.
The polynomial model proposed by Frye–Morris is generally used to predict the moment-rotation behaviour of eight types of angle connections. The problem with the Frye–Morris model is that it either overestimates or ...
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For a multi-dimension force transducer, the mutual coupling between any two force transducers is unavoidable, and normally, the coupling characteristic is nonlinear. But the nonlinear coupled transducers are often tre...
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ISBN:
(纸本)9783037850817
For a multi-dimension force transducer, the mutual coupling between any two force transducers is unavoidable, and normally, the coupling characteristic is nonlinear. But the nonlinear coupled transducers are often treated as linear coupled ones since the difficulty of nonlinear decoupling. The 6-axis wheel force transducer (WFT), as the key instrument of vehicle roadway test system, the precision of which is influenced badly by the mutual coupling. The linear coupling analysis and decoupling method was introduced, on the basis of which, the polynomial nonlinear coupling model was derived, and the polynomial nonlinear decoupling method was discussed. The measurement data of WFT were processed. The results indicate that the accuracy of nonlinear decoupling is higher than that of linear decoupling.
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