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Digital Watermarking For Images Security Using Discrete Slantlet Transform, Myasar Mundher, Dzulkifli Muhamad, Amjad Rehman, Tanzila Saba, Firdous Kausar
Digital Watermarking For Images Security Using Discrete Slantlet Transform, Myasar Mundher, Dzulkifli Muhamad, Amjad Rehman, Tanzila Saba, Firdous Kausar
Applied Mathematics & Information Sciences
This paper presents digital images watermarking approach to sustain the ownership and true authentication. To secure intellectual belongings of images, audio and videos, watermark W is converted into a sequence of bits and in order to encrypt the watermark, sequence of size R is selected randomly. Additionally, a pseudo random number is generated to calculate pixels for selection key generation. Finally, 2-level discrete slanlet transform (DST) on the host image is applied to divide it into Red, Green and Blue channels. The results thus produced from proposed methodology exhibit robustness against the existing state of the art. Further, proposed approach …
Group Analysis Of A Generalized Kdv Equation, Motlatsi Molati, Chaudry Masood Khalique
Group Analysis Of A Generalized Kdv Equation, Motlatsi Molati, Chaudry Masood Khalique
Applied Mathematics & Information Sciences
In this work the Korteweg-de Vries equation which contains an arbitrary function in the nonlinear term is considered and it is referred to as a generalized KdV. This equation has applications in nonlinear solitary wave phenomena in some areas of fluid mechanics, plasma physics and quantum mechanics. The Lie group analysis approach is employed to obtain the possible forms of the arbitrary parameter.
Fractional Hermite-Hadamard Inequalities For Some New Classes Of Godunova-Levin Functions, Muhammad Aslam Noor, Khalida Inayat Noor, Muhammad Uzair Awan, Sundas Khan
Fractional Hermite-Hadamard Inequalities For Some New Classes Of Godunova-Levin Functions, Muhammad Aslam Noor, Khalida Inayat Noor, Muhammad Uzair Awan, Sundas Khan
Applied Mathematics & Information Sciences
In this paper, some new classes of Godunova-Levin functions are introduced and investigated. Several new fractional Hermite-Hadamard inequalities are derived for these new classes of Godunova-Levin functions. The ideas and techniques of this paper may stimulate and inspire further research.
Fuzzy Bi-Level Multi-Objective Fractional Integer Programming, E. A. Youness, O. E. Emam, M. S. Hafez
Fuzzy Bi-Level Multi-Objective Fractional Integer Programming, E. A. Youness, O. E. Emam, M. S. Hafez
Applied Mathematics & Information Sciences
We present an algorithm to solve a bi-level multi-objective fractional integer programming problem involving fuzzy numbers in the right-hand side of the constraints. The suggested algorithm combine the method of Taylor series together with the Kuhn Tucker conditions to solve fuzzy bi-level multi-objective fractional integer programming problem (FBLMOFIPP) then Gomory cuts are added till the integer solution is obtained. An illustrative example is discussed to demonstrate the correctness of the proposed solution method.
Upper And Lower Continuity Of Soft Multifunctions, Metin Akdag, Fethullah Erol
Upper And Lower Continuity Of Soft Multifunctions, Metin Akdag, Fethullah Erol
Applied Mathematics & Information Sciences
In this paper, we introduced the notion of soft multifunctions and define the upper and lower inverse of a soft multifunction and prove basic properties. Then using these ideas we introduced the concepts of upper and lower continuous soft multifunctions. Also we obtain some characterizations and several properties concerning upper and lower soft continuous multifunctions.
Some Remarks On The Fractional Sumudu Transform And Applications, Adem Kılıçman, Omer Altun
Some Remarks On The Fractional Sumudu Transform And Applications, Adem Kılıçman, Omer Altun
Applied Mathematics & Information Sciences
In this work we study fractional order Sumudu transform. In the development of the definition we use fractional analysis based on the modified Riemann - Liouville derivative, then we name the fractional Sumudu transform. We also establish a relationship between fractional Laplace and Sumudu via duality with complex inversion formula for fractional Sumudu transform and apply new definition to solve fractional differential equations.
Best Compromise Alternative To Eeld Problem Using Hybrid Multiobjective Quantum Genetic Algorithm, A. A. Mousa, E. E. Elattar
Best Compromise Alternative To Eeld Problem Using Hybrid Multiobjective Quantum Genetic Algorithm, A. A. Mousa, E. E. Elattar
Applied Mathematics & Information Sciences
A novel hybrid multiobjective quantum genetic algorithm (HM-QGA) for economic emission load dispatch (EELD) optimization problem is presented. The EELD problem is formulated as a nonlinear constrained multiobjective optimization problem with both equality and inequality constraints. HM-QGA are population based evolutionary algorithms that imitate quantum physics by introducing quantum bits for a basic probabilistic genotypic representation and hence better population diversity, and quantum gates for evolving the population of solutions. We use quantum genetic algorithm to exploits the power of quantum computing to speed up genetic algorithm procedure. We present methodology that allows the decision maker (DM) to be a …
Dynamic Response Of A Solid Bar Of Cardioidal Cross-Sections Immersed In An Inviscid Fluid, R. Selvamani, P. Ponnusamy
Dynamic Response Of A Solid Bar Of Cardioidal Cross-Sections Immersed In An Inviscid Fluid, R. Selvamani, P. Ponnusamy
Applied Mathematics & Information Sciences
The dynamic response of a homogeneous transversely isotropic solid bar of cardioidal cross-section immersed in a fluid is studied using the Fourier expansion collocation method (FECM), within the framework of the linearized three-dimensional theory of elasticity. The equations of motion of solid and fluid are respectively formulated using the constitutive equations of a transversely isotropic cylinder and the constitutive equations of an inviscid fluid. Three wave potential functions are introduced to uncouple the equations of motion. The frequency equations of longitudinal and flexural (symmetric and antisymmetric) modes are analyzed numerically for a cardioidal cross-sectional transversely isotropic solid bar immersed in …
Software Development For Transitions Of Graphs From Discrete State Into The Continuous State, Ahmet Koltuksuz, Cağatay Yücel
Software Development For Transitions Of Graphs From Discrete State Into The Continuous State, Ahmet Koltuksuz, Cağatay Yücel
Applied Mathematics & Information Sciences
Manifolds are suitable differentiable mathematical objects for information to be defined on. By their very definition they are non-Euclidean in the global view but in local scales they resemble Euclidean spaces. This property provides that the contemporary information models can also be defined within the previsioned new models of information models. One of the most basic representations of information is through graphs. They are discrete and highly computable mathematical objects. In this research, the main aim is to investigate methods of embedding this simple piece of information onto manifolds. This research shows that the very fundamental data structures of computer …
A Fast And Efficient Parameter Estimation Algorithm For Generalized Output Error Models, Jie Jia, Hua Huang, Yong Yang, Ke Lv, Feng Ding, Shuying Huang
A Fast And Efficient Parameter Estimation Algorithm For Generalized Output Error Models, Jie Jia, Hua Huang, Yong Yang, Ke Lv, Feng Ding, Shuying Huang
Applied Mathematics & Information Sciences
One kind of the colored noise interference systems is generalized output error model (OEARMA). This paper presents a two-stage recursive least squares algorithm for OEARMA. Aiming at the OEARMA, this paper puts forward a two-stage recursive least squares algorithm. The basic idea of the algorithm is to combinie the auxiliary model identification idea and the decomposition technique to decompose a system into two subsystems. Each subsystem contains a parameter vector. With auxiliary model-based recursive extended least squares theory, an unknown intermediate variable output instead of the auxiliary model identification model vector, instead of unmeasurable noise terms in the information vector …
Dt-Aodv: An On-Demand Routing Protocol Based Dtn In Vanet, Dongjie Zhu, Gang Cui, Zhongchuan Fu
Dt-Aodv: An On-Demand Routing Protocol Based Dtn In Vanet, Dongjie Zhu, Gang Cui, Zhongchuan Fu
Applied Mathematics & Information Sciences
Vehicular Ad Hoc Networks (VANET) as a fundamental part of the future intelligent, which constitutes by communication between cars, cars and roadside node use a unified wireless communication network, it can transmit auxiliary driving or real-time information to avoid accidents, and can provide the operating convenience and security with people’s travel, so VANET routing protocols is crucial, especially the packet delivery ratio in protocol. Firstly, the traditional routing protocols in MANET is researched and the actual real movement of vehicles on the road is built for network simulation, all aspects of the performance of the AODV, DSDV and DSR routing …
Haar Wavelet Approach For Numerical Solution Of Two Parameters Singularly Perturbed Boundary Value Problems, Sapna Pandit, Manoj Kumar
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 …
Hardy–Leindler Type Inequalities On Time Scales, S. H. Saker
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.
The Improvement Of Lot Delivery Time In 450 Mm Semiconductor Manufacturing, Chia-Nan Wang
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 …
A Lagrangian Heuristic Algorithm For An Automobile Distribution Network Optimization Problem, Zaili Lin
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 …
An Improved Unit-Linking Pcnn For Segmentation Of Infrared Insulator Image, Kebin Cui, Baoshu Li, Jinsha Yuan, Ping Wang
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 …
Modeling And Analysis Of An Ipv4-Ipv6 Address Translation System, Zheng Hong, Sun Nigang, Pan Li
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.
A Novel Authentication Scheme With Anonymity For Wireless Communications, Liaojun Pang, Huixian Li, Xia Zhou, Yumin Wang
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 …
An Efficient Threshold Signature Scheme Resistible To Conspiracy Attack, Yu-Fang Chung, Tzer-Shyong Chen, Tzer-Long Chen
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.
The Implementation Of Lsmr In Image Deblurring, Hao Xu, Ting-Zhu Huang, Xiao-Guang Lv, Jun Liu
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 …
A New Replacement Algorithm Of Web Search Engine Cache Based On User Behavior, Zhang Yong-Heng, Zhang Feng, You Fei
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 …
Discrete Adaptive Sliding Mode Control Via Wavelet Network For A Class Of Nonlinear Systems, Xiaoyu Zhang
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 …
Breadth First Search Sequence Based Method For Efficient Process Retrieval, Ye Yanming, Yin Yuyu, Yin Yuyu, Xu Yueshen, Yin Jianwei
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 …
Algorithm Of Shadow For Diffraction In Forests Based On A Wireless Sensor Network, Yunjie Xu, Wenbin Li, Wei Zhang
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 …
An Efficient Gene Selection Technique Based On Fuzzy C-Means And Neighborhood Rough Set, Jiucheng Xu, Tianhe Xu, Lin Sun, Jinyu Ren
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. …
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
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 …
Finger Vein Recognition Based On Personalized Discriminative Bit Map, Xuzhou Li, Xiaoming Xi, Yilong Yin, Gongping Yang
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 …
Maximum Entropy For Image Segmentation Based On An Adaptive Particle Swarm Optimization, Chengming Qi
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 …
Analysis Of The Composition Of Non-Deducibility In Cyber-Physical Systems, Jingming Wang, Huiqun Yu
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). …
Ndm-Cache: A Network Cache For Cloud Computing System, Yunfa Li, Pengtao Wang
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 …