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Modeling Complex Systems By Functional Subsystems Representation And Thermostatted-Ktap Methods, Carlo Bianca Sep 2012

Modeling Complex Systems By Functional Subsystems Representation And Thermostatted-Ktap Methods, Carlo Bianca

Applied Mathematics & Information Sciences

In the last two decades the mathematical modeling of real-world complex systems has received much attention. These systems are composed by a high number of interacting entities which are able to express a specific strategy. In order to reduce complexity, the whole system is decomposed in different subsystems that are sets of heterogeneous entities having the ability of expressing the same function. The microscopic interactions among the functional subsystems generate the emerging behaviors that are typical of the complex systems. This paper is concerned with suitable developments of the methods of mathematical kinetic theory for active particles for the modeling …

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On Construction Of Symmetric Compactly Supported Biorthogonal Multiwavelets With Short Sequences, Yi-Gang Cen, Li-Hui Cen, Xiao-Fang Chen Sep 2012

On Construction Of Symmetric Compactly Supported Biorthogonal Multiwavelets With Short Sequences, Yi-Gang Cen, Li-Hui Cen, Xiao-Fang Chen

Applied Mathematics & Information Sciences

A novel approach for constructing symmetric compactly supported biorthogonal multiwavelets with short sequences is proposed in this paper. For some symmetric types of biorthogonal multiwavelet systems, starting from the symmetric properties of scaling and wavelet functions, parameterized symmetric forms of polyphase matrices can be derived. Furthermore, according to the matrix equations of the perfect reconstruction condition, the parameters of polyphase matrices can be reduced, which finally leads to our proposed algorithm for the construction of symmetric compactly supported biorthogonal multiwavelets with short sequences.

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A Projected Gradient Method For A High-Order Model In Image Restoration Problems, Zhi-Feng Pang, Baoli Shi, Lihong Huang Sep 2012

A Projected Gradient Method For A High-Order Model In Image Restoration Problems, Zhi-Feng Pang, Baoli Shi, Lihong Huang

Applied Mathematics & Information Sciences

Based on the augmented Lagrangian strategy, we propose a projected gradient method for solving the high-order model in image restoration problems. Based on the Berm`udez and Moreno (BM) algorithm, the convergence of the proposed method is proved. We also give the relationship that the semi-implicit gradient descent method can be deduced from the projected gradient method. Some numerical experiments are arranged to demonstrate the efficiency of the proposed method for restoring the gray-level and color images.

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A-Statistical Summability Of Fourier Series And Walsh-Fourier Series, Abdullah Alotaibi, M. Mursaleen Sep 2012

A-Statistical Summability Of Fourier Series And Walsh-Fourier Series, Abdullah Alotaibi, M. Mursaleen

Applied Mathematics & Information Sciences

In this paper we study A-statistical summability of conjugate Fourier series, derived Fourier series and Walsh-Fourier series. At the end of the paper it is shown that A-statistical summa- bility version is stronger than A-summability.

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Target Detecting In Sea Clutter With Echo State Network, Z. Xu, J.W. Wan Sep 2012

Target Detecting In Sea Clutter With Echo State Network, Z. Xu, J.W. Wan

Applied Mathematics & Information Sciences

This paper use echo state network (ESN), feedforward echo state network (FE-ESN) and tapped delay line with inputs (TDL-I) to predict the sea clutter time series and detect target embedded in sea clutter. The performance of predicting and detecting using these methods is compared. A set of time series from IPIX radar data is tested. Numerical experiments reveal that FE-ESN and TDL-I show high prediction precision and good detection effect as same as ESN. Furthermore, FE-ESN and TDL-I have simplication architecture.

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Well-Posedness Of The Modified Crank-Nicholson Difference Schemes In C, Allaberen Ashyralyev Sep 2012

Well-Posedness Of The Modified Crank-Nicholson Difference Schemes In C, Allaberen Ashyralyev

Applied Mathematics & Information Sciences

In the present paper the modified Crank-Nicholson difference schemes for the approximate solutions of the nonlocal boundary value problem v 0 (t) + Av(t) = f(t)(0 ≤ t ≤ 1), v(0) = v(λ) + µ, 0 < λ ≤ 1 for differential equations in an arbitrary Banach space E with the strongly positive operator A are considered. The well-posedness of these difference schemes in C β,γ τ (E) and Ce β,γ τ (E) spaces is established. In applications, the coercive stability estimates for the solutions of difference schemes of the second order of accuracy over time and of an arbitrary order of accuracy over space variables in the case of the nonlocal boundary value problem for the 2mth-order multidimensional parabolic equation are obtained

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Robust Stability And Stabilization Of Nonlinear Uncertain Stochastic Switched Discrete-Time Systems With Interval Time-Varying Delays, G. Rajchakit Sep 2012

Robust Stability And Stabilization Of Nonlinear Uncertain Stochastic Switched Discrete-Time Systems With Interval Time-Varying Delays, G. Rajchakit

Applied Mathematics & Information Sciences

This paper is concerned with robust stability and stabilization of nonlinear uncertain stochastic switched discrete time-delay systems. The system to be considered is subject to interval time-varying delays, which allows the delay to be a fast time-varying function and the lower bound is not restricted to zero. Based on the discrete Lyapunov functional, a switching rule for the robust stability and stabilization for the nonlinear uncertain stochastic discrete time-delay system is designed via linear matrix inequalities. Numerical examples are included to illustrate the effectiveness of the results.

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A Computation-Efficient Three-Party Encrypted Key Exchange Protocol, Cheng-Chi Lee, Shun-Der Chen, Chin-Ling Chen Sep 2012

A Computation-Efficient Three-Party Encrypted Key Exchange Protocol, Cheng-Chi Lee, Shun-Der Chen, Chin-Ling Chen

Applied Mathematics & Information Sciences

Recently, Chen et al. proposed a three-party encrypted key exchange (3PEKE) protocol with password authentication which is called CCLC-3PEKE. The protocol simultaneously possesses round and computation efficiencies. However, the protocol is vulnerable to replaying attacks. Since the protocol is currently one of the most superior of all 3PEKE protocols, it seems valuable to remedy the security weakness and enhance their efficiency. Hence, we shall propose an efficient 3PEKE (L-3PEKE) scheme. Compare with other 3PEKE protocols, our proposed L-3PEKE is more secure and efficient.

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Lacunary Statistical Convergence In Random 2-Normed Spaces, S.A. Mohiuddine, M. Aiyub Sep 2012

Lacunary Statistical Convergence In Random 2-Normed Spaces, S.A. Mohiuddine, M. Aiyub

Applied Mathematics & Information Sciences

In this paper we purpose to define the notions of lacunary statistical convergence and lacunary statistically Cauchy in random 2-normed spaces and proved some interesting results for these concepts in this set up.

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A Stochastic Model For Analysis Of Manufacturing Modules, Mehmet Savsar, Majid Aldaihani Sep 2012

A Stochastic Model For Analysis Of Manufacturing Modules, Mehmet Savsar, Majid Aldaihani

Applied Mathematics & Information Sciences

In this paper, a stochastic model, which describes the states of a manufacturing system by a set of differential equations, is developed. These equations are changed into a set of difference equations at steady state and then solved by MAPLE software to analyze performance measures of flexible manufacturing modules under different operational conditions. A manufacturing module consists of one or more flexible machines, a loading and unloading robot, and a part transfer pallet. Flexible machines are subject to frequent failures due to their high utilizations. Therefore, models are needed to determine the effects of various factors on system performance as …

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Fast Evaluation Of Canonical Oscillatory Integrals, Ying Liu Sep 2012

Fast Evaluation Of Canonical Oscillatory Integrals, Ying Liu

Applied Mathematics & Information Sciences

Fast evaluation of oscillatory integrals is an issue attracts much attention in many fields. In this paper, we are interested in the calculation of canonical oscillatory integrals, and the irregular oscillatory integrals are transformed into canonical ones with respect to the presences of stationary phase points or not. An improved-Levin method is proposed to calculated the canonical oscillatory integral, where the eigen-decomposition is employed to solve the target system of linear equation, and a much higher efficiency is yielded in comparison with the direct solution methods such as the Gaussian elimination.

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Two Pulse Designs For Ultra Wideband-Cognitive Radio By Using Multiple Modified Transform Domain Communication System, Shubin Wang, Zheng Zhou, Kyungsup Kwak Sep 2012

Two Pulse Designs For Ultra Wideband-Cognitive Radio By Using Multiple Modified Transform Domain Communication System, Shubin Wang, Zheng Zhou, Kyungsup Kwak

Applied Mathematics & Information Sciences

In order to adapt to all kinds of spectral mask and utilize the full frequency band and avoid interference to/from the existing wireless systems for ultra wideband (UWB), this paper investigates two pulse designs for ultra wideband-cognitive radio (UWB-CR) by using multiple modified transform domain communication system (M-TDCS). By applying multiple M-TDCS and installing a different power scale factor to each sub-band with about 1-2GHz, the first flexible and implementable pulse is generated. By using a combination of the multiple M-TDCS and compressed chirp waveform, the second pulse is accomplished. The two new pulses each can be implemented by surface …

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Improved Dft-Based Channel Estimation In Ofdm Systems Based On Phase Compensation, Maozhu Jin, Xia Lei, Shiqing Lin Sep 2012

Improved Dft-Based Channel Estimation In Ofdm Systems Based On Phase Compensation, Maozhu Jin, Xia Lei, Shiqing Lin

Applied Mathematics & Information Sciences

Based on frequency domain pilot channel estimation is a typical technology of channel estimation in OFDM system. In most cases, the pilot configuration of the system can’t start from the first subcarrier, which will have an effect on channel estimation values at the pilot, especially in the algorithm of channel estimation based on DFT interpolation which will largely degrade the performance of the algorithm. The study analyses and deduces in detail phase offsets and the compensation technology under the condition of noninteger multiple of the multipath delay and non-integer multiple of the number of pilot. The simulation results show that …

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Multipath Delay Estimation By Jammed Pilot In Ofdm System, Xia Lei, Maozhu Jin, Shiqing Lin, Peiyu Ren Sep 2012

Multipath Delay Estimation By Jammed Pilot In Ofdm System, Xia Lei, Maozhu Jin, Shiqing Lin, Peiyu Ren

Applied Mathematics & Information Sciences

This paper studies orthogonal frequency-division multiplexing (OFDM) system channel estimation problem in the interference environment and the channel delay estimation algorithm is proposed. The algorithm consists of the narrowband interference detection and suppression and channel time delay estimation. First of all, this paper studied the statistical characteristics of channel frequency domain response value at pilot tones, use double threshold consecutive mean excision (CME) algorithm, to detect the interference of pilot subcarriers and interference suppression. Then, the authors analyze the channel frequency response mathematical model and alternating notch periodogram (ANP) spectral estimation method is used to obtain the channel time delay …

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A Planning Heuristic Based On Subgoal Ordering And Helpful Value, Weisheng Li, Peng Tu, Junqing Liu Sep 2012

A Planning Heuristic Based On Subgoal Ordering And Helpful Value, Weisheng Li, Peng Tu, Junqing Liu

Applied Mathematics & Information Sciences

This work is concerned with how to improve the efficiency of heuristic search in a planning system. Utilize the dependency relations between the variables in a goal, a subgoal ordering method is first used to guide the heuristic search in a more reasonable way. The idea of helpful value in a goal is then introduced. A more accurate heuristic cost can be achieved by using the helpful value when we compute the heuristic cost. Finally, a heuristic algorithm combined subgoal ordering with helpful value is proposed. The algorithm is implemented in the planning system Fast Downward. The experimental results show …

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System Reliability Allocation Based On Bayesian Network, Wenxue Qian, Xiaowei Yin, Liyang Xie Sep 2012

System Reliability Allocation Based On Bayesian Network, Wenxue Qian, Xiaowei Yin, Liyang Xie

Applied Mathematics & Information Sciences

In this paper, system reliability allocation using BN(Bayesian Network) was researched. The relationship between system failure and component failure can be expressed by probability importance degree, structure importance degree and key importance degree in FTA (Fault Tree Analysis). BN supplies a new method to reflect the importance of components in system. That is the conditional failure probability which points out the most possible reason of system failure and is more reasonable and reliable. Some examples are given to allocate the reliability of systems by BN and the results show that BN is useful and effective.

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Nonlinear Distortion Identification Based On Intra-Wave Frequency Modulation, Yutian Wang, Hui Wang, Qin Zhang Sep 2012

Nonlinear Distortion Identification Based On Intra-Wave Frequency Modulation, Yutian Wang, Hui Wang, Qin Zhang

Applied Mathematics & Information Sciences

Recently, most of the methods used to measure and analysis signal property are based on the linear transform theory, such as FFT, STFT, wavelet, etc. Unfortunately, these methods usually cause meaningless results when it is used to analysis nonlinear signal. In this paper, we use Hilbert-Huang transform (HHT) to review the nonlinear distortion and define a novel nonlinear parameter named Nonlinear Distortion Degree (NDD) which is based on intra-wave frequency modulation measurement. The loudspeaker model simulations are used to illustrate the intra-wave frequency modulation caused by nonlinear distortion. The results agree that NDD can reveal more accurate and physical meaningful …

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Generalization Of Belief And Plausibility Functions To Fuzzy Sets, Jianyu Xiao, Minming Tong, Qi Fan, Su Xiao Sep 2012

Generalization Of Belief And Plausibility Functions To Fuzzy Sets, Jianyu Xiao, Minming Tong, Qi Fan, Su Xiao

Applied Mathematics & Information Sciences

In order to process the fuzzy and imprecise information in the evidential reasoning, the scholars have made many attempts to generalize belief and plausibility functions based on the Dempster-Shafer(D-S) evidence theory to fuzzy sets for many decades. A new method for defining the fuzzy closeness degree is put forward in this paper. Based on the closeness degree, another generalization of belief and plausibility functions to fuzzy sets is proposed which discards the max and min operators in foregoing generalizations according to the measure of fuzzy inclusion. We then make the comparisons of the proposed extension with some methods available. The …

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A Study Of Data Mining Trend Through The Optimized Bibliometric Methodology Based On Sci Database From 1993 To 2011, Lu Dai, Lixin Ding, Yunwen Lei, Yangge Tian Sep 2012

A Study Of Data Mining Trend Through The Optimized Bibliometric Methodology Based On Sci Database From 1993 To 2011, Lu Dai, Lixin Ding, Yunwen Lei, Yangge Tian

Applied Mathematics & Information Sciences

An optimized bibliometric method was applied in this work to evaluate global scientific production of data mining papers of the Science Citation Index (SCI). In compared with traditional bibliometric keyword analysis, a semantic words class was established by applying the text extraction mode to remove noise in the abstract and combining with the core relative phrases retrieved from keywords to get the sample for further experiment. The analysis shows a high correlation between title and keywords, and the title reports less information than keywords does. Also, keywords provide more positive guidance to know and be familiar with the status and …

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Localization Of Acoustic Emission Source Based On Chaotic Neural Networks, Aidong Deng, Xiaodan Zhang, Jianeng Tang, Li Zhao, Kang Qin Sep 2012

Localization Of Acoustic Emission Source Based On Chaotic Neural Networks, Aidong Deng, Xiaodan Zhang, Jianeng Tang, Li Zhao, Kang Qin

Applied Mathematics & Information Sciences

Because of containing several model waveforms and transmission speed of each model are various, the source signal of rub-impact acoustic emission (AE) will lead to waveform distortion in propagation process, and it is difficult to achieve exact source location by traditional time difference of arrival algorithm. A chaotic neural network technique was introduced to calculate the location of AE source. Numerous researches show that rotor rub-impact fault has sufficient non-linear features, so obtain the characteristics of the non-linear dynamics which reveal the AE source form the rub-impact data by using the chaos theory and use it as the input of …

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Bit-Plane Image Coding Scheme Based On Compressed Sensing, Guangchun Gao, Kai Xiong, Lina Shang Sep 2012

Bit-Plane Image Coding Scheme Based On Compressed Sensing, Guangchun Gao, Kai Xiong, Lina Shang

Applied Mathematics & Information Sciences

Based on compressed sensing, a new bit-plane image coding scheme was presented. Due to different important for different image bit-plane, the new method is robust to bit error, and has the advantages of simple structure and easy software and hardware implementation. Because the values of the image bit-plane are 1 or zero, one order difference matrix was chosen as sparse transform matrix, and the simulation show that it has more sparse presentations. For the general 8-bit images, its have 8 Bit-plane, eighth Bit-plane is Most Significant Bit-plane, so we can adopt more measure vectors for reconstruction image precision. At the …

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An Efficient And Secure Cloud-Based Distributed Simulation System, Heng He Sep 2012

An Efficient And Secure Cloud-Based Distributed Simulation System, Heng He

Applied Mathematics & Information Sciences

For the deficiency of High Level Architecture (HLA), it is not well suited for large-scale distributed simulation systems. To enhance the capability of HLA and satisfy the new requirements of large-scale distributed simulations, an efficient and secure cloudbased distributed simulation system, namely CDS, based on the cloud computing technology and HLA is proposed. CDS provides a service-oriented simulation support environment. It can provide users with on-demand simulation resources, run simulations on the wide area network efficiently, realize share and reuse of simulation resources, improve load balancing capability of the simulation, and provide security guarantee. Compared with previous simulation grid systems, …

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The Non-Equidistant New Information Optimizing Mgm(1,N) Based On A Step By Step Optimum Constructing Background Value, Ruibiao Zou Sep 2012

The Non-Equidistant New Information Optimizing Mgm(1,N) Based On A Step By Step Optimum Constructing Background Value, Ruibiao Zou

Applied Mathematics & Information Sciences

Grey system is a theory which studies poor information specially, and it possesses wide suitability. Applying a step by step optimum new information modeling method to construct new information background value of multi-variable non-equidistance new information Grey model MGM(1,n), taking the mth component of each variable as initial value of response function, taking the mean relative error as objective function, and taking the modified values of response function initial value as design variables, the multi-variable non-equidistance new information Grey model MGM(1,n) was built. The proposed model can be used to build model in non-equal interval and equal interval time series. …

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Dynamic Workflow Modeling Based On Product Structure Tree, Shen Li, Xiaodong Shao, Zhihua Zhang, Jiantao Chang Sep 2012

Dynamic Workflow Modeling Based On Product Structure Tree, Shen Li, Xiaodong Shao, Zhihua Zhang, Jiantao Chang

Applied Mathematics & Information Sciences

In order to solve the dynamic modification problem of workflow model in product development process,a method of dynamic workflow modeling is presented based on product structure tree (PST).In the method, a dynamic node was introduced into a workflow template, and the refinement rule of a dynamic node was proposed. Through mapping the components of PTS onto the workflow template,the component instances and their affiliation used as refinement input elements,then the dynamic workflow nodes were refined. Validation in the actual engineering case of large-scale antenna development shows that the workflow instance was constructed dynamically at run-time.

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Detecting Hidden Anomalies Using Sketch For High-Speed Network Data Stream Monitoring, Aiping Li, Yi Han, Bin Zhou, Weihong Han, Yan Jia Sep 2012

Detecting Hidden Anomalies Using Sketch For High-Speed Network Data Stream Monitoring, Aiping Li, Yi Han, Bin Zhou, Weihong Han, Yan Jia

Applied Mathematics & Information Sciences

Monitoring network data streams in real-time to check security event become more and more important along with the rapid growth of Internet applications. The detection typically treats the traffic as a collection of flows that need to be examined for significant changes in traffic pattern (e.g., volume, number of connections). However, as link speeds and the number of flows increase, keeping perflow state is either too expensive or too slow.We propose building compact summaries of the traffic data using the notion of sketches.In this paper, we proposed an IP address traceability network anomaly detection method at right time based on …

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A Genetic Algorithm Approach For Toc-Based Supply Chain Coordination, Kaijun Leng, Xiangjun Chen Sep 2012

A Genetic Algorithm Approach For Toc-Based Supply Chain Coordination, Kaijun Leng, Xiangjun Chen

Applied Mathematics & Information Sciences

A supply chain is a network of retailers, distributors, manufacturers, and suppliers cooperating to satisfy customers demands. In traditional business environments, each business tries to minimize its costs based on its own cost structure, regardless of other SC participants. However, most decisions made by each SC members are based on the profitability of their own. In this paper, we consider a two-level supply chain in which retailer orders exceeds the suppliers capacity. To balance supply and demand, we proposed a coordination mechanism based on Theory of Constraints (TOC) in face of meeting peak demand in certain period for the whole …

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Numerical Simulation And Experimental Researches On The Led Reliability Under Temperature Loading, Ningning Chen Sep 2012

Numerical Simulation And Experimental Researches On The Led Reliability Under Temperature Loading, Ningning Chen

Applied Mathematics & Information Sciences

The reliability problem must be solved for achieving large-scale application about LEDs, and the temperature is a key factor to affect LED reliability. In order to find the temperature effects on the module of high-power light emitting diodes (LEDs), a finite element approach was used to study the reliability problems of LEDs under high temperature and low temperature. A thermal shock experiment of LEDs was conducted by thermal shock chamber. The numerical simulations were used to obtain the thermal stress distribution of the LED modules. The simulated results showed that the stress generated at interfaces of all kinds of materials …

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Teleportation In The Presence Of Technical Defects In Transmission Stations, A.-H. M. Ahmed, M. N. Zakaria, N. Metwally Sep 2012

Teleportation In The Presence Of Technical Defects In Transmission Stations, A.-H. M. Ahmed, M. N. Zakaria, N. Metwally

Applied Mathematics & Information Sciences

The process of teleport information remotely in presence of an error in the implementation of the local operations as CNOT and Hadamard gate at the sending station is discussed. Through the control of the laboratory equipment the errors in the achieving the local operations could be resisted. The imperfect CNOT gates performance could be improved as the error’s strength in implementing of the Hadamard gate increases. It is shown that the accuracy of the information transfer not only depends on the laboratory equipment, but also on nature of the information to be teleported.

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Research Of Cryptosystems Resistance On Cascade Codes To Nonalgebraic Decoding Attacks, Zhukabayeva Tamara, Sembiyev Ordabay, Khu Ven–Tsen Sep 2012

Research Of Cryptosystems Resistance On Cascade Codes To Nonalgebraic Decoding Attacks, Zhukabayeva Tamara, Sembiyev Ordabay, Khu Ven–Tsen

Applied Mathematics & Information Sciences

Cryptosystems of theoretical resistance, construction of which is based on using algebraic block codes (code-theoretic schemes) are considered. Resistance of cascade code-theoretic schemes to hacking by an opponent with the help of the method of permutable decoding is researched.

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Improving Preparedness And Flexibility In Web-Based Trainings For North American Start Teams, Julie Moser Sep 2012

Improving Preparedness And Flexibility In Web-Based Trainings For North American Start Teams, Julie Moser

Institute on Disability

No abstract provided.

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