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2014

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Haar Wavelet Approach For Numerical Solution Of Two Parameters Singularly Perturbed Boundary Value Problems, Sapna Pandit, Manoj Kumar Nov 2014

Haar Wavelet Approach For Numerical Solution Of Two Parameters Singularly Perturbed Boundary Value Problems, Sapna Pandit, Manoj Kumar

Applied Mathematics & Information Sciences

In this paper, we proposed an efficient numerical method based on uniform Haar wavelet for the numerical solutions of two parameter singularly perturbed boundary value problems. Such type of problems arise in various field of science and engineering, such as heat transfer problem with large Peclet numbers, Navier-Stokes flows with large Reynolds numbers, transport phenomena in chemistry and biology, chemical reactor theory, aerodynamics, reaction-diffusion process, quantum mechanics, optimal control theory etc. In present study more accurate solutions have been obtained by wavelet decomposition with multiresolution analysis. An extensive amount of error analysis has been carried out to obtain the convergence …

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Hardy–Leindler Type Inequalities On Time Scales, S. H. Saker Nov 2014

Hardy–Leindler Type Inequalities On Time Scales, S. H. Saker

Applied Mathematics & Information Sciences

In this paper, we will prove some new dynamic inequalities on a time scale T. These inequalities, as special cases, when T = R contain some integral inequalities and when T = N contain the discrete inequalities due to Leindler. The main results will be proved by using the H¨older inequality and a simple consequence of Keller’s chain rule on time scales. From our results, as applications, we will derive some new continuous and discrete Wirtinger type inequalities. The technique in this paper is completely different from the technique used by Leindler to prove his main results.

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The Improvement Of Lot Delivery Time In 450 Mm Semiconductor Manufacturing, Chia-Nan Wang Nov 2014

The Improvement Of Lot Delivery Time In 450 Mm Semiconductor Manufacturing, Chia-Nan Wang

Applied Mathematics & Information Sciences

Semiconductor industry has tremendous development in recent decades. According to Moore’s Law [1], semiconductor wafer manufacturers have to search improvement opportunities constantly in order to be competitive. International technology roadmap for semiconductor [2] has indicated the possible scenarios for 450 mm wafer fabs, and the conveyor will be a potential solution to realize transportation automation. How to reduce the bottleneck of transportation is a valuable issue for the highly capital intensive industry. The purpose of this paper is to focus on improving the bottleneck of conveyor loops and provide effective transport dispatching rule for 450 mm wafer fab. The results …

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A Lagrangian Heuristic Algorithm For An Automobile Distribution Network Optimization Problem, Zaili Lin Nov 2014

A Lagrangian Heuristic Algorithm For An Automobile Distribution Network Optimization Problem, Zaili Lin

Applied Mathematics & Information Sciences

The distribution network design problem for an automobile company in China is investigated. Through optimizing the location of the distribution centers and allocation of retailers to distribution centers or plants, the total profit for the automobile company is maximized. The demand is assumed to be sensitive to the lead time and a Linear Integer Programming model is proposed to formulate the problem. A Lagrangian heuristic algorithm is developed to solve the problem, in which the subgradient algorithm and a heuristic algorithm is combined. Large scale examples including up to 20 plants, 100 distribution centers and 500 retailers are used to …

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An Improved Unit-Linking Pcnn For Segmentation Of Infrared Insulator Image, Kebin Cui, Baoshu Li, Jinsha Yuan, Ping Wang Nov 2014

An Improved Unit-Linking Pcnn For Segmentation Of Infrared Insulator Image, Kebin Cui, Baoshu Li, Jinsha Yuan, Ping Wang

Applied Mathematics & Information Sciences

To segment the infrared insulator image efficiently, an improved Unit-linking PCNN algorithm, which makes improvements on both the linking coefficient b and the standard for choosing the best segmented image, is proposed in this paper. The relationship of the gray value of each neuron is used to determine the linking coefficient b and MSE, which consider the relationship between the gray value of the original image and the segmented image, is used to determine the best segmented image. The proposed algorithm is tested on both the standard test images and the aerial infrared images and the results show that the …

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Modeling And Analysis Of An Ipv4-Ipv6 Address Translation System, Zheng Hong, Sun Nigang, Pan Li Nov 2014

Modeling And Analysis Of An Ipv4-Ipv6 Address Translation System, Zheng Hong, Sun Nigang, Pan Li

Applied Mathematics & Information Sciences

With the development of IPv6, several IPv6-IPv4 translation systems for communicating between IPv6 networks and IPv4 networks have been proposed. The paper presented an IPv4-IPv6 translation mechanism by using network Address. Also, the IPv4-Pv6 translation system is modelling based on Petri nets. By analyzing the boundedness, liveness and reversibility of the model, the proposed IPv4-IPv6 translation method is feasible and satisfies system security requirements.

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A Novel Authentication Scheme With Anonymity For Wireless Communications, Liaojun Pang, Huixian Li, Xia Zhou, Yumin Wang Nov 2014

A Novel Authentication Scheme With Anonymity For Wireless Communications, Liaojun Pang, Huixian Li, Xia Zhou, Yumin Wang

Applied Mathematics & Information Sciences

Aiming at the anonymity problem existing in Zhu et al.’s and Lee et al.’s schemes,Wu et al. proposed an improved scheme. But,Wu et al.’s scheme is also proven unable to provide anonymity. Especially, Zeng et al. declared that due to an inherent design flaw in Zhu et al.’s scheme, Zhu et al.’s scheme and its successors are unlikely to provide anonymity. However, in fact, we can use a simple but effective method to solve this anonymity problem. In this paper, based on Wu et al.’s scheme, we propose a novel authentication scheme with anonymity for wireless communications. Our method is …

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An Efficient Threshold Signature Scheme Resistible To Conspiracy Attack, Yu-Fang Chung, Tzer-Shyong Chen, Tzer-Long Chen Nov 2014

An Efficient Threshold Signature Scheme Resistible To Conspiracy Attack, Yu-Fang Chung, Tzer-Shyong Chen, Tzer-Long Chen

Applied Mathematics & Information Sciences

The study presents a threshold signature scheme. While developing threshold cryptography, the concept of threshold signature can accomplish a tradeoff between efficiency in use and dependability of security. The presented threshold signature scheme can resist conspiracy attack by controlling the right of issuing group signature, and the performance of constructing group signature is also enhanced by simplifying keys.

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The Implementation Of Lsmr In Image Deblurring, Hao Xu, Ting-Zhu Huang, Xiao-Guang Lv, Jun Liu Nov 2014

The Implementation Of Lsmr In Image Deblurring, Hao Xu, Ting-Zhu Huang, Xiao-Guang Lv, Jun Liu

Applied Mathematics & Information Sciences

Image deblurring is a classic problem which has been extensively studied in image processing. The challenge of image deblurring is how to devise efficient and reliable algorithms for recovering the original, sharp image from a blurred and noisy one. In this paper, we consider the implementation of the LSMR method for computing an approximate solution of an ill-posed problem arising from image deblurring. When equipped with a stopping rule based on the discrepancy principle, the LSMR method acts as a regularization method. The numerical examples illustrate that the LSMR method is able to give restored images of higher quality with …

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A New Replacement Algorithm Of Web Search Engine Cache Based On User Behavior, Zhang Yong-Heng, Zhang Feng, You Fei Nov 2014

A New Replacement Algorithm Of Web Search Engine Cache Based On User Behavior, Zhang Yong-Heng, Zhang Feng, You Fei

Applied Mathematics & Information Sciences

The efficiency of retrieval system is crucial for large-scale information retrieval systems. By analyzing the documents and the users query logs of a real search engine based on the Web caching, through a large number of statistical analyzed of user behavior and found that the search engine query terms entered by the user in the process of clicking and queries to the URL of the page showed a clear temporal locality, and the distribution of user queries characteristics meet power function and has a good self-similarity. In this paper,analyzed of the search engine ranking based on the user behavior investigated …

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Discrete Adaptive Sliding Mode Control Via Wavelet Network For A Class Of Nonlinear Systems, Xiaoyu Zhang Nov 2014

Discrete Adaptive Sliding Mode Control Via Wavelet Network For A Class Of Nonlinear Systems, Xiaoyu Zhang

Applied Mathematics & Information Sciences

Unmodelled dynamics and perturbations are always immeasurable. In this paper, an adaptive sliding mode control (ASMC) based on wavelet network (WN) for a class of non-affine multi-variable nonlinear discrete systems is presented in order to compensate them. Wavelet network which parameters are tuned on-line is adopted to realize the equivalent control, and hitting controls are added in order to satisfy reaching conditions. By combining the adaptive WN with SMC strategy, the constructed control law has many advantages such as robustness, adaptive characters, and the precise mathematic models of controlled plants are not required. Finally, experiment on an inverted pendulum control …

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Breadth First Search Sequence Based Method For Efficient Process Retrieval, Ye Yanming, Yin Yuyu, Yin Yuyu, Xu Yueshen, Yin Jianwei Nov 2014

Breadth First Search Sequence Based Method For Efficient Process Retrieval, Ye Yanming, Yin Yuyu, Yin Yuyu, Xu Yueshen, Yin Jianwei

Applied Mathematics & Information Sciences

With increasing improvement of the business process management (BPM) technology, large-scale business process repositories have been adapted widely. However, due to the explosion of the number of business processes, a large part of enterprises are confronting with the challenge on effective management of those massive processes. Usually, each business process is modeled as a process graph, and therefore most existing approaches are based on graph mining algorithms. This paper puts forward a new method, which first utilizes the breadth first search (BFS) algorithm to label the process model, and then calculates the similarity based on the matching distance. The experimental …

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Algorithm Of Shadow For Diffraction In Forests Based On A Wireless Sensor Network, Yunjie Xu, Wenbin Li, Wei Zhang Nov 2014

Algorithm Of Shadow For Diffraction In Forests Based On A Wireless Sensor Network, Yunjie Xu, Wenbin Li, Wei Zhang

Applied Mathematics & Information Sciences

Diffraction loss and the shadow of diffraction, which account for the growth of trees based on wireless sensors, longdistance, real-time, and accurate automatic acquisition of environmental information, were presented to meet the requirements for a wireless sensor network in a forest. Considering electromagnetic wave propagation, which accounts for the scattering and absorption behavior of plantations, a physical model of diffraction for a forest is constructed using the attenuation and the absorbing screens. The mathematical model of diffraction is presented using the uniform geometrical theory of diffraction. Moreover, the expression for diffraction loss is derived. The results were then applied to …

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An Efficient Gene Selection Technique Based On Fuzzy C-Means And Neighborhood Rough Set, Jiucheng Xu, Tianhe Xu, Lin Sun, Jinyu Ren Nov 2014

An Efficient Gene Selection Technique Based On Fuzzy C-Means And Neighborhood Rough Set, Jiucheng Xu, Tianhe Xu, Lin Sun, Jinyu Ren

Applied Mathematics & Information Sciences

Selecting genes from microarray gene expression datasets has become an important research, because such data typically consist of a large number of genes and a small number of samples. Avoiding information loss, neighborhood mutual information is used to evaluate the relevance between genes in this work. Firstly, an improved Relief feature selection algorithm is proposed to create candidate feature subsets. Then, the cohesion degree of the neighborhood of an object and coupling degree between neighborhoods of objects are defined based on neighborhood mutual information. Furthermore, a new initialization method of cluster centers for the Fuzzy C-means (FCM) algorithm is proposed. …

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Application Of Constrained Multi-Objective Hybrid Quantum Particle Swarm Optimization For Improving Performance Of An Ironless Permanent Magnet Linear Motor, Wen-Jong Chen, Wen-Cheng Su, Yin-Liang Yang Nov 2014

Application Of Constrained Multi-Objective Hybrid Quantum Particle Swarm Optimization For Improving Performance Of An Ironless Permanent Magnet Linear Motor, Wen-Jong Chen, Wen-Cheng Su, Yin-Liang Yang

Applied Mathematics & Information Sciences

This study presents an ironless permanent magnet linear brushless motor (PMLBM) with three objective functions: maximal thrust force, minimal temperature, and minimal volume. Using response surface methodology (RSM), this study presents a mathematical predictive model with constraints using the penalty functions concept for each objective function. The design variables in this study include magnetic width, magnetic height, magnetic pitch, air-gap, coil width, coil height, and coil diameter. This study uses an elitist hybrid quantum behavior particle swarm optimization algorithm with mutation to solve this multi-objective optimization problem (EMOHQPSO). This elitist mechanism with crowding distance sorting improves the number and diversity …

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Finger Vein Recognition Based On Personalized Discriminative Bit Map, Xuzhou Li, Xiaoming Xi, Yilong Yin, Gongping Yang Nov 2014

Finger Vein Recognition Based On Personalized Discriminative Bit Map, Xuzhou Li, Xiaoming Xi, Yilong Yin, Gongping Yang

Applied Mathematics & Information Sciences

Finger vein recognition is a promising biometric recognition due to its some advantages. For a finger vein recognition system, feature extraction is a critical step for the final recognition. In our previous work, we proposed Personalized Best Bit Map(PBBM) which selected the stable bits from LBP. Although PBBM achieve a better performance, it still contains some useless bits for recognition. In this paper, we propose Personalized Discriminative Bit Map(PDBM) which select much more discriminative bits from PBBM. The bits of PDMB are more discriminative and more effective for the final recognition. In addition, compared with PBBM, the number of bits …

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Maximum Entropy For Image Segmentation Based On An Adaptive Particle Swarm Optimization, Chengming Qi Nov 2014

Maximum Entropy For Image Segmentation Based On An Adaptive Particle Swarm Optimization, Chengming Qi

Applied Mathematics & Information Sciences

Abstract: Image segmentation is applied widely to image processing and object recognition. Threshold segmentation is a simple and important method in grayscale image segmentation. Information entropy can characterize the grayscale in formation of image and distinguish between the objectives and background. In this paper, we use exponential entropy instead of logarithmic entropy and propose a new multilevel thresholds image segmentation method based on maximum entropy and adaptive Particle Swarm Optimization (APSO). This proposed algorithm takes full account of the spatial information and the gray information to decrease the computing quantity. The APSO takes advantage of the characteristics of particle swarm …

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Analysis Of The Composition Of Non-Deducibility In Cyber-Physical Systems, Jingming Wang, Huiqun Yu Nov 2014

Analysis Of The Composition Of Non-Deducibility In Cyber-Physical Systems, Jingming Wang, Huiqun Yu

Applied Mathematics & Information Sciences

Cyber-Physical Systems (CPSs) are integrations of computation and physical processes. Now researchers are confronted with the difficulty in the analysis and verification of information confidentiality in complex CPSs owing to physically observable behavior and physical components appended to cyber systems. This problem can be solved effectively by using some simple or small systems to compose the complex CPSs while achieving the confidentiality of the composite system by preserving that of small systems. Firstly, the paper introduces the definition of non-deducibility and the definition and operation of Petri net and four compositions (sequence, iteration, parallel and alternative composition) for non-deducibility (ND). …

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Ndm-Cache: A Network Cache For Cloud Computing System, Yunfa Li, Pengtao Wang Nov 2014

Ndm-Cache: A Network Cache For Cloud Computing System, Yunfa Li, Pengtao Wang

Applied Mathematics & Information Sciences

Block-level storage service is one of the basic services in a cloud computing system, it not only provides block-level storage volumes to the virtual machines for persistent data, but also improve the availability of data. However, with the rapid expansion of cloud computing systems and increasing number of the virtual machines, higher I/O performance of storage subsystem is demanded, when the storage subsystem under the condition of high load, its service quality is severely affected. According to this issue, this paper designs and implements the prototype of a network cache for cloud computing system, named NDM-Cache. This network cache system …

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Joint Frequency Offset And Channel Estimation For Distributed Mimo In Time-Varying Channels, Lijun Song, Zhaofu Kong, Yang Luo, Yinze Li, Xiao Chen, Xia Lei Nov 2014

Joint Frequency Offset And Channel Estimation For Distributed Mimo In Time-Varying Channels, Lijun Song, Zhaofu Kong, Yang Luo, Yinze Li, Xiao Chen, Xia Lei

Applied Mathematics & Information Sciences

In this paper, the joint estimation of frequency offsets and channel for distributed MIMO system in time-varying channel is discussed. We assume that each pair of transmit and receive antennas has a different frequency offset. We promote the multi-parameter estimation based on expectation conditional maximization (ECM) and space-alternating generalized expectation-maximization (SAGE) for a MIMO system operating under a flat-fading environment to the multi-parameter estimation using EM algorithm for distributed MIMO systems in time-varying channel. Theoretical analysis and simulation results indicate that the improvement can well compensate for the performance loss caused by time-variability and achieve good performance for time-varying distributed …

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The Battle For Higher Standards, Tom Luna, Mike Rush, Rod Gramer, Roger Stewart Nov 2014

The Battle For Higher Standards, Tom Luna, Mike Rush, Rod Gramer, Roger Stewart

Literacy, Language and Culture Faculty Publications and Presentations

In the aftermath of the federal mandates imposed through No Child Left Behind, the state-led effort to establish common math and English standards across states—known as the Common Core State Standards—seemed a welcome change in the approach to improving student achievement and success. However, the effort to ensure that students were ready for college or the workforce became the political target of those who distrust federal mandates and fear a nationalized education agenda bent on social engineering. The standards became intertwined with NSA spying, data mining, and federal grants for education with strings attached.

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Research And Creative Activity July 1, 2013 – June 30, 2014: Major Sponsored Programs And Faculty Awards For Research And Creativity, Elizabeth Banset Nov 2014

Research And Creative Activity July 1, 2013 – June 30, 2014: Major Sponsored Programs And Faculty Awards For Research And Creativity, Elizabeth Banset

Office of Research and Economic Development: Publications

This booklet highlights the successes of the University of Nebraska–Lincoln faculty during the fiscal year July 1, 2013-June 30, 2014. It lists the funding sources, projects and investigators on major grants and sponsored program awards received during the year; published books and scholarship; fellowships and other recognition; intellectual property licenses; and performances and exhibitions in the fine and performing arts.

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Online Information Searching For Cardiovascular Diseases: An Analysis Of Mayo Clinic Search Query Logs, Ashutosh Sopan Jadhav, Amit P. Sheth, Jyotishman Pathak Nov 2014

Online Information Searching For Cardiovascular Diseases: An Analysis Of Mayo Clinic Search Query Logs, Ashutosh Sopan Jadhav, Amit P. Sheth, Jyotishman Pathak

Kno.e.sis Publications

Since the early 2000’s, Internet usage for health information searching has increased significantly. Studying search queries can help us to understand users “information need” and how do they formulate search queries (“expression of information need”). Although cardiovascular diseases (CVD) affect a large percentage of the population, few studies have investigated how and what users search for CVD. We address this knowledge gap in the community by analyzing a large corpus of 10 million CVD related search queries from MayoClinic.com. Using UMLS MetaMap and UMLS semantic types/concepts, we developed a rule-based approach to categorize the queries into 14 health categories. We …

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Australian Teachers And The Learning Environment: An Analysis Of Teacher Response To Talis 2013: Final Report, Chris Freeman, Kate O'Malley, Frances Eveleigh Nov 2014

Australian Teachers And The Learning Environment: An Analysis Of Teacher Response To Talis 2013: Final Report, Chris Freeman, Kate O'Malley, Frances Eveleigh

OECD Teaching and Learning International Survey (TALIS)

The OECD Teaching and Learning International Survey (TALIS) is the first international survey programme to focus on the learning environment and the working conditions of teachers in schools. The overarching aim of TALIS is to provide robust, policy relevant indicators and analysis on teachers and the learning environment for an international audience. It aims to provide an opportunity to examine best practice in education systems around the world, to allow countries to identify other education systems facing similar challenges to their own and to learn from other policy approaches. TALIS provides internationally comparable information in the areas of teacher demographic …

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Analysis Of A Scheduler For Virtualization Of Links With Performance Isolation, Andrzej Chydzinski, Blazej Adamczyk Nov 2014

Analysis Of A Scheduler For Virtualization Of Links With Performance Isolation, Andrzej Chydzinski, Blazej Adamczyk

Applied Mathematics & Information Sciences

In this paper we deal with a scheduling algorithm that creates several virtual links on one physical link by switching the service between the virtual links. The switching is done in such a way that the physical link is available for each virtual link for a constant time, what provides full performance isolation between virtual links. Firstly, we present a detailed analysis of the scheduler, including formulas for the queue sizes associated with virtual links and their packet loss ratios. Then we show numerical examples of performance characteristics of created virtual links. We also compare them with adequate non-virtual links …

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Classical And Quasi-Newton Methods For A Meteorological Parameters Prediction Boundary Value Problem, Ioannis Famelis, Georgios Galanis, Matthias Ehrhardt Nov 2014

Classical And Quasi-Newton Methods For A Meteorological Parameters Prediction Boundary Value Problem, Ioannis Famelis, Georgios Galanis, Matthias Ehrhardt

Applied Mathematics & Information Sciences

We study the numerical solution of a Boundary Value problem for second order quadratic differential equations which arises in the numerical prediction of meteorological parameters. In the present work, we use finite differences and focus on the numerical solution of the resulting nonlinear system. More precisely, we apply classical Newton’s and Quasi-Newton methods paying attention to the special sparse form of the Jacobian matrix and modify appropriately the LU factorization in order to reduce significantly the required floating point operations. Furthermore, we implement and study in depth the behavior of all the proposed procedures in respect of their accuracy, stability …

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Generalised Neutrosophic Soft Set And Its Integration To Decision Making Problem, Rıdvan Şahin, Ahmet Küçük Nov 2014

Generalised Neutrosophic Soft Set And Its Integration To Decision Making Problem, Rıdvan Şahin, Ahmet Küçük

Applied Mathematics & Information Sciences

In 1999, Molodtsov [5] introduced the concept of soft set theory, which can be used as a generic mathematical tool for dealing with uncertainty. In this paper, we first generalise the concept of neutrosophic sof set defined by Maji [20].We then study basic operations on the generalised neutrosophic soft set. We finally present an application of generalised neutrosophic soft set in decision making problem.

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Characterizing Microwave Power In A Mpcvd System Using Gaussian Mixture Modeling, Jen-Hsiang Chou, Chih-Ming Hsu, Shun-Yuan Wang, Chii-Ruey Lin, June-Yen Jhuang Nov 2014

Characterizing Microwave Power In A Mpcvd System Using Gaussian Mixture Modeling, Jen-Hsiang Chou, Chih-Ming Hsu, Shun-Yuan Wang, Chii-Ruey Lin, June-Yen Jhuang

Applied Mathematics & Information Sciences

Microwave Plasma Chemical Vapor Deposition (MPCVD) can be used to grow various kinds of diamond films and carbon nanotubes at various temperatures. Issues concerning plasma modeling and control play an important role in MPCVD systems. One crucial factor in controlling the plasma shape and position is the tunable reflected microwave power of the MPCVD system. However, modeling the tunable reflected power is highly complex and remains a poorly developed. In this paper, the microwave power distribution corresponding to the adjustable electromagnetic field is modeled by 2-D Gaussian Mixture Modeling (GMM). The simulations using the model show that microwave power data …

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Analyzing Consumers’ Decisions To Select Micro- Invasive Aesthetic Service Providers Using A Hybrid Method, Fan-Yun Pai Nov 2014

Analyzing Consumers’ Decisions To Select Micro- Invasive Aesthetic Service Providers Using A Hybrid Method, Fan-Yun Pai

Applied Mathematics & Information Sciences

Micro-invasive aesthetic services are becoming more popular, and thus the industry is becoming more competitive. It is thus critical for companies to better understand the criteria that consumers use when choosing a micro-invasive aesthetic service provider. In order to investigate this issue, three focus group interviews were carried out in this study and the related literature was reviewed in order to find the relevant criteria. The Decision Making Trial and Evaluation Laboratory (DEMATEL) was then employed to find casual relationships among the criteria, while the Analytic Network Process (ANP) was further applied to evaluate the importance of each criterion. After …

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Development Of Simulation Task Unit Model Based On Role And State Mode, Zhiteng Wang, Hongjun Zhang, Rui Zhang, Yong Li, Youliang Zhang Nov 2014

Development Of Simulation Task Unit Model Based On Role And State Mode, Zhiteng Wang, Hongjun Zhang, Rui Zhang, Yong Li, Youliang Zhang

Applied Mathematics & Information Sciences

Currently, service-oriented model and simulation has become a main development direction for modeling and simulation. In order to separate the simulation service and state and effectively reuse simulation resources, this paper proposed a simulation task unit (STU) model method based on role and state mode, in which role could call the simulation service by simulation member and the state value of simulation service could be saved in the state of role. This paper also analyzed the relations among role, state and logic, and described the simulation member model and simulation task model in detail. Besides, an STU model tool was …

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