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An Efficient Data Fusion Approach For Event Detection In Heterogeneous Wireless Sensor Networks, Pinghui Zou, Yun Liu
An Efficient Data Fusion Approach For Event Detection In Heterogeneous Wireless Sensor Networks, Pinghui Zou, Yun Liu
Applied Mathematics & Information Sciences
This paper concentrates an efficient event detection approach exploiting data fusion technology for the heterogeneous wireless sensor networks. In this type of wireless sensor networks, each sensor is equipped with multiple sensing units. Particularly, in this paper, we study on the data fusion approach based on the type of complementary heterogeneous wireless sensor networks, and the fire disaster detection is utilized as an example of event detection. The proposed event detection model is constructed of data fusion level and information fusion level. In the data fusion level, resource data are collected from the sensors which are both in the sensing …
On The Stability To A Functional Lienard Type Equation With Variable Delay By Fixed Points Theory, Cemil Tunc
On The Stability To A Functional Lienard Type Equation With Variable Delay By Fixed Points Theory, Cemil Tunc
Applied Mathematics & Information Sciences
This paper is devoted to the mathematical analysis of stability of a scalar Li ´ enard type equation with variable delay. We use the fixed point technique under an exponentially weighted metric to prove the stability of the zero solution. By this work, we extend and improve some related results in the literature
A Dependable Computing In Database For Managing Mass Connection Systems, Chung-Yang Chen, Wen-Lung Tsai
A Dependable Computing In Database For Managing Mass Connection Systems, Chung-Yang Chen, Wen-Lung Tsai
Applied Mathematics & Information Sciences
Most operations in database (DB) is based on the deferred update replication technique, especially in distributed environments. In deferred update replication, transactions are executed on a single host and broadcast to other hosts at commit time. Upon delivering a transaction, each host confirms it to ensure a globally serializable execution. The mechanism is subject to CAP theorem in order to ensure data consistency and availability. This paper proposes a dependable cache query mechanism in distributed relational database (DRDB). The key insight of the cache query mechanism provides high performance, strong consistency and availability for mass connection systems. In addition to …
Generalized Convexity And Integral Inequalities, Muhammad Aslam Noor, Khalida Inayat Noor, Muhammad Uzair Awan
Generalized Convexity And Integral Inequalities, Muhammad Aslam Noor, Khalida Inayat Noor, Muhammad Uzair Awan
Applied Mathematics & Information Sciences
In this paper, we consider a very useful and significant class of convex sets and convex functions that is relative convex sets and relative convex functions which was introduced and studied by Noor [20]. Several new inequalities of Hermite-Hadamard type for relative convex functions are established using different approaches. We also introduce relative h-convex functions and is shown that relative h-convex functions include Noor relative convex functions as special cases. Results obtained in this paper may inspire future research in convex analysis and related optimization fields.
Entire Labeling Of Plane Graphs, Martin Bača, Stanislav Jendroī, Kumarappan Kathiresan, Kadarkarai Muthugurupackiam
Entire Labeling Of Plane Graphs, Martin Bača, Stanislav Jendroī, Kumarappan Kathiresan, Kadarkarai Muthugurupackiam
Applied Mathematics & Information Sciences
A face irregular entire k-labeling j : V ∪E ∪F →{1,2, . . . , k} of a 2-connected plane graph G = (V,E,F) is a labeling of vertices, edges and faces of G in such a way that for any two different faces f and g their weights wj ( f ) and wj (g) are distinct. The weight of a face f under a k-labeling j is the sum of labels carried by that face and all the edges and vertices incident with the face. The minimum k for which a plane graph G has a face irregular …
An Efficient Numerical Scheme For Coupled Nonlinear Burgers’ Equations, Maryam Sarboland, Azim Aminataei
An Efficient Numerical Scheme For Coupled Nonlinear Burgers’ Equations, Maryam Sarboland, Azim Aminataei
Applied Mathematics & Information Sciences
In this paper, coupled nonlinear Burgers’ equations are solved through a variety of meshless methods known as multiquadric quasi-interpolation scheme. In this scheme, the extension of univariate quasi-interpolation method is used to approximate the unknown functions and their spatial derivatives and the Taylor series expansion is used to discretize the temporal derivatives. The multiquadric quasi-interpolation scheme is a one-dimensional method that can be extend to the two-dimensional by converting to a compact form and using of a tensor product scheme. The method is tested on three experiments to show the efficiency and accuracy of it. Also, we demonstrate the validity …
Detecting And Extracting Semantic Topics From Polish Fire Service Raports, Marcin Mironczuk
Detecting And Extracting Semantic Topics From Polish Fire Service Raports, Marcin Mironczuk
Applied Mathematics & Information Sciences
This article presents results of structuring text documents using the classification process. The proposed system based on classification process which used to extract information about the semantics (meaning) segments (sentences) that build text documents. The analysis was made on the reports coming from the National Fire Service (Polish Fire Service) event evidence system. The article describes the results of classification using the proposed classifiers and presents some future directions of research.
Artificial Bee Colony Algorithm Hybridized With Firefly Algorithm For Cardinality Constrained Mean-Variance Portfolio Selection Problem, Milan Tuba, Nebojsa Bacanin
Artificial Bee Colony Algorithm Hybridized With Firefly Algorithm For Cardinality Constrained Mean-Variance Portfolio Selection Problem, Milan Tuba, Nebojsa Bacanin
Applied Mathematics & Information Sciences
Portfolio selection (optimization) problem is a very important and widely researched problem in the areas of finance and economy. Literature review shows that many methods and heuristics were applied to this hard optimization problem, however, there are only few implementations of swarm intelligence metaheuristics. This paper presents artificial bee colony (ABC) algorithm applied to the cardinality constrained mean-variance (CCMV) portfolio optimization model. By analyzing ABC metaheuristic, some deficiencies such as slow convergence to the optimal region, were noticed. In this paper ABC algorithm improved by hybridization with the firefly algorithm (FA) is presented. FA’s search procedure was incorporated into the …
Differential Geometry On Su(N): Left And Right Invariant Vector Fields And One-Forms, Seyed Javad Akhtarshenas
Differential Geometry On Su(N): Left And Right Invariant Vector Fields And One-Forms, Seyed Javad Akhtarshenas
Applied Mathematics & Information Sciences
In this paper we provide an analytical procedure for explicit calculation of the left and right invariant vector fields and oneforms on SU(N) manifold. The calculations are based on the coset parametrization of SU(N) group. The results enable us to calculate the invariant measure or Haar measure on the group. As an illustrative example, we calculate invariant vector fields and one-forms on SU(2) group.
A Vts-Based Feature Compensation Method Using Noisy Speech Hmms, Yongjoo Chung
A Vts-Based Feature Compensation Method Using Noisy Speech Hmms, Yongjoo Chung
Applied Mathematics & Information Sciences
In conventional Vector Taylor Series (VTS) based noisy speech recognition methods, Hidden Markov Models (HMMs) are trained using clean speech, and the parameters of the clean speech HMM are adapted to test noisy speech, or the original clean speech is estimated from the test noisy speech. However, these approaches have a drawback in that acoustic models trained using noisy speech cannot be used in recognition. In noisy speech recognition, improved performance is generally expected by employing noisy acoustic models produced by methods such as Multi-condition Training (MTR) and Multi-Model-based Speech Recognition framework (MMSR). Motivated by this idea, a method has …
An Optimized Feature Selection Method For Breast Cancer Diagnosis In Digital Mammogram Using Multiresolution Representation, Mohamed Meselhy Eltoukhy, Ibrahima Faye
An Optimized Feature Selection Method For Breast Cancer Diagnosis In Digital Mammogram Using Multiresolution Representation, Mohamed Meselhy Eltoukhy, Ibrahima Faye
Applied Mathematics & Information Sciences
This paper introduces a method for feature extraction from multiresolution representations (wavelet,curvelet) for classification of digital mammograms. The proposed method selects the features according to its capability to distinguish between different classes. The method starts with both performing wavelet and curvelet transform over mammogram images. The resulting coefficients of each image are used to construct a matrix. Each row in the matrix corresponds to an image.The most significant features, in terms of capabilities of differentiating classes,are selected. The method uses threshold values to select the columns that will maximize the difference between the different classes’representatives. The proposed method is applied …
A New Image Watermarking Scheme Using Multi- Objective Bees Algorithm, Jiann-Shu Lee, Jing-Wein Wang, Kung-Yo Giang
A New Image Watermarking Scheme Using Multi- Objective Bees Algorithm, Jiann-Shu Lee, Jing-Wein Wang, Kung-Yo Giang
Applied Mathematics & Information Sciences
The optimization of watermarked image fidelity and watermark robustness is an attractive research topic in image watermarking. In this paper, we propose a new image watermarking scheme based on multi-objective bees algorithm to promote watermarking robustness as well as fidelity. In contrast with the existing genetic algorithms (GAs) based approaches utilizing single objective optimization, we treat the image watermarking as a multi-objective optimization problem. Based on this new perspective, the inherent conflict existing in image fidelity and watermark robustness for image watermarking can be objectively handled. The experimental study shows that our method indeed outperform the conventional GA-based approaches in …
Two Self-Dual Lattices Of Signed Integer Partitions, Giampiero Chiaselotti, William Keith, Paolo A. Oliverio
Two Self-Dual Lattices Of Signed Integer Partitions, Giampiero Chiaselotti, William Keith, Paolo A. Oliverio
Applied Mathematics & Information Sciences
In this paper we study two self-dual lattices of signed integer partitions, D(m,n) and E(m,n), which can be considered also sub-lattices of the lattice L(m,2n), where L(m,n) is the lattice of all the usual integer partitions with at most m parts and maximum part not exceeding n. We also introduce the concepts of k-covering poset for the signed partitions and we show that D(m,n) is 1-covering and E(m,n) is 2-covering.We study D(m,n) and E(m,n) as two discrete dynamical models with some evolution rules. In particular, the 1-covering lattices are exactly the lattices definable with one outside addition rule and one …
The Research Of Multi-Point Function Opaque Predicates Obfuscation Algorithm, Yang Yubo, Fan Wenqing, Huang Wei, Xu Guoai, Yang Yixian
The Research Of Multi-Point Function Opaque Predicates Obfuscation Algorithm, Yang Yubo, Fan Wenqing, Huang Wei, Xu Guoai, Yang Yixian
Applied Mathematics & Information Sciences
On the algorithm of code obfuscation, opaque predicate is used to confuse the judgment of the program branches to achieve complex control flow statement. Currently, there are problems of obfuscation on the opaque predicate. The first problem is the isolation. the relation between opaque predicate is relatively isolated, once an opaque predicates Boolean value is obtained, the branch flow will always be identified; Second is the reversible, an attacker can determine the opaque predicate the Boolean value by analyzing reversible slicing attacks. In this paper, we proposed multi-point function opaque predicate obfuscation algorithm, using multi-function features makes opaque predicates interdependent …
Cloud Model And Tolerance Granular Space-Based Image Retrieval Methods, Jiucheng Xu, Jinyu Ren, Lin Sun, Tianhe Xu
Cloud Model And Tolerance Granular Space-Based Image Retrieval Methods, Jiucheng Xu, Jinyu Ren, Lin Sun, Tianhe Xu
Applied Mathematics & Information Sciences
In the existing tolerance granular space models, grid points in each layer are established only taking space position into account, which ignore uncertainties of image texture, such as randomness, fuzziness and relevance. As a matter of fact, it is very important to extract grid points for constructing tolerance granular space, which are tolerance granules’ position or center. Therefore, it is very meaningful for the accurate texture feature-description of images to extract grid points well. To address this issue, we firstly apply cloud model to extracting grid points, and establish two new tolerance granular space models. Then, similarity measures based on …
An Exponential Entropy-Based Hybrid Ant Colony Algorithm For Vehicle Routing Optimization, Chengming Qi, Ping Li
An Exponential Entropy-Based Hybrid Ant Colony Algorithm For Vehicle Routing Optimization, Chengming Qi, Ping Li
Applied Mathematics & Information Sciences
Vehicle routing problem(VRP) is important combinatorial optimization problems which have received considerable attention in the last decades. The optimization of vehicle routing problem is a well-known research problem in the logistics distribution. In order to overcome the prematurity of Ant Colony Algorithm (ACA) for logistics distribution routing optimization, a hybrid algorithm combining improved ACA with Iterated Local Search (ILS) is proposed. The proposed algorithm adjusts the pheromone trail to balance the convergence rate and diversification of solutions self-adaptively. The exponential entropy is used to control the path selection and pheromone updating strategy. Combining with ILS is to avoid local best …
Attribute-Based Server-Aided Verification Signature, Zhiwei Wang, Ruirui Xie, Shaohui Wang
Attribute-Based Server-Aided Verification Signature, Zhiwei Wang, Ruirui Xie, Shaohui Wang
Applied Mathematics & Information Sciences
Attribute based signature (ABS) is a novel cryptographic primitive, which enables a party to sign messages for any predicate satisfied by their attributes. However, heavy computational cost is required during the verification procedure in most existing ABS schemes, which may need many pairing operations. Pairings are costly operation when compared to exponentiation in the base group. As a result, this presents a greatly challenge for resource-limited users, such as smart cards and wireless sensor. In other words, verification can hardly be done in these devices if attribute based signature is employed. We solve this problem by proposing a new notion …
Shock-Waves And Other Solutions To The Sharma- Tasso-Olver Equation With Lie Point Symmetry And Travelling-Waves Approach, B. S. Ahmed, R. M. Morris, E. V. Krishnan, P. G. L. Leach, Anjan Biswas
Shock-Waves And Other Solutions To The Sharma- Tasso-Olver Equation With Lie Point Symmetry And Travelling-Waves Approach, B. S. Ahmed, R. M. Morris, E. V. Krishnan, P. G. L. Leach, Anjan Biswas
Applied Mathematics & Information Sciences
This paper addresses the Sharma-Tasso-Olver equation from an integrability perspective. There are three integration tools that are applied to extract the solutions to this nonlinear evolution equation. The ansatz method is applied to the generalised equation with power-law nonlinearity to obtain shock-wave solutions. Subsequently, the traveling-wave hypothesis leads to another set of solutions in the complex domain. Finally, Lie symmetry analysis leads to a third set of solutions. Several constraint conditions emerge from the various analyses.
On The Relation Between Outage Probability And Effective Frequency Diversity Order, Yongjune Kim, Minjoong Rim, Xianglan Jin, Dae-Woon Lim
On The Relation Between Outage Probability And Effective Frequency Diversity Order, Yongjune Kim, Minjoong Rim, Xianglan Jin, Dae-Woon Lim
Applied Mathematics & Information Sciences
In this paper, the relation between the outage probability and the effective frequency diversity order will be investigated. If the number of nonzero elements in power delay profile (PDP) is two, there is one-to-one correspondence between the outage probability and the effective frequency diversity order. On the other hand, if the number of nonzero elements in PDP is greater than two, the effective frequency diversity order provides the upper and lower bounds on the outage probability rather than the exact outage probability. Also, the effective frequency diversity order and the outage probability of cyclic delay diversity (CDD) schemes will be …
I/O Conformance Test Generation With Colored Petri Nets, Jing Liu, Xinming Ye, Jiantao Zhou, Xiaoyu Song
I/O Conformance Test Generation With Colored Petri Nets, Jing Liu, Xinming Ye, Jiantao Zhou, Xiaoyu Song
Applied Mathematics & Information Sciences
This paper explores Input-Output Conformance (IOCO) test generation with Colored Petri Nets (CPN). A test generation oriented CPN model and CPN based IOCO relation is proposed. Feasible test cases are generated by model simulation with the proof of its soundness. The method integrates the merits the IOCO testing theory and the CPN modeling synergistically, and is applied as a nontrivial and competent test case generation approach for practical testing projects. The effectiveness of this test generation approach is demonstrated by a concrete software system. Since the model simulation based test generation process is irrespective with the model size, the effectiveness …
Numerical Robustness In Geometric Computation: An Expository Summary, Gang Mei, John C. Tipper, Nengxiong Xu
Numerical Robustness In Geometric Computation: An Expository Summary, Gang Mei, John C. Tipper, Nengxiong Xu
Applied Mathematics & Information Sciences
This paper attempts to present an expository summary on the numerical non-robustness issues in geometric computation. We try to give the answers to two questions: (1) why numerical non-robustness issues occur in geometric computing, and (2) how to deal with them in practice. We first describe the theoretical causes of the problematic robustness behaviors, and then present several popular and practical solutions to the non-robustness problem. Note that these algorithm-specific or general solutions are only part of the existing efforts to attack the numerical robustness problem, but are quite useful in practical applications. Additionally, geometric examples and sample codes are …
Inter-Temporal Optimal Asset Allocation And Time-Varying Risk Aversion, Honglin Yang, Penglan Fang, Hong Wan, Yong Zha
Inter-Temporal Optimal Asset Allocation And Time-Varying Risk Aversion, Honglin Yang, Penglan Fang, Hong Wan, Yong Zha
Applied Mathematics & Information Sciences
The inter-temporal optimal decision is related to investors risk preference. In this study, we analyze the optimal asset allocation over investment horizon of invariable risk preference indicated by constant risk aversion. To capture dynamic property of risk aversion, we relax the assumption of constant risk aversion and formulate a time-varying function in response to the impacts of time and wealth. Our general decision model built on time-varying risk aversion allows us to further investigate the inter-temporal optimal asset allocation. The numerical evidences from the model show that the optimal allocation of risky assets in portfolios is significantly related to investors …
Approximations Of The Jensen Divergence, E. Kikianty, S. S. Dragomir, L. Ndlovu
Approximations Of The Jensen Divergence, E. Kikianty, S. S. Dragomir, L. Ndlovu
Applied Mathematics & Information Sciences
The Jensen divergence is used to measure the difference between two probability distributions. This divergence has been generalised to allow the comparison of more than two distributions. In this paper, we consider some bounds for generalised Jensen divergence for m-time differentiable functions.
Intelligent Decision Support For New Product Development: A Consumer-Oriented Approach, Yang-Cheng Lin, Chun-Chih Chen, Chung-Hsing Yeh
Intelligent Decision Support For New Product Development: A Consumer-Oriented Approach, Yang-Cheng Lin, Chun-Chih Chen, Chung-Hsing Yeh
Applied Mathematics & Information Sciences
This paper presents a consumer-oriented design approach to determine the optimal form design of characteristic toys that best matches consumers’ preferences. The consumer-oriented design approach is based on the process of Kansei Engineering using neural networks (NNs) and the technique for order preference by similarity to ideal solution (TOPSIS). The NN model is used to build a design decision support database, and then an NN-based TOPSIS decision support model is used to enable product designers to obtain the optimal design alternatives that best meet consumers’ preferences for a new characteristic toy design.
A Necessary Condition For The Security Of Coherent- One-Way Quantum Key Distribution Protocol, Mhlambululi Mafu, Adriana Marais, Francesco Petruccione
A Necessary Condition For The Security Of Coherent- One-Way Quantum Key Distribution Protocol, Mhlambululi Mafu, Adriana Marais, Francesco Petruccione
Applied Mathematics & Information Sciences
The coherent-one-way and the differential-phase-shift protocols are two of the most recent practical quantum key distribution protocols for quantum cryptography. These protocols belong to a class of so-called distributed-phase-reference quantum key distribution protocols. While security proofs for some limited attacks exist, the unconditional security proofs this class of protocol remain unrealised. The existing tools for proving security of protocols against the most general attacks fail to apply to this class of protocol in a straight forward way. One of the necessary conditions for a quantum key distribution protocol to be secure is the presence of noncommuting measurements. In this paper, …
Towards Secure Data Exchange In Peer-To-Peer Data Management Systems, Sk. Md. Mizanur Rahman, Mehedi Masud, Ali N M Noman, Atif Alamri, Mohammad Mehedi Hassan
Towards Secure Data Exchange In Peer-To-Peer Data Management Systems, Sk. Md. Mizanur Rahman, Mehedi Masud, Ali N M Noman, Atif Alamri, Mohammad Mehedi Hassan
Applied Mathematics & Information Sciences
In a peer-to-peer data management system (P2PDMS) peers exchange data in a pair-wise fashion on-the-fly in response to user queries without any centralized control. When peers exchange highly confidential data over an insecure communication channel, the data might be intercepted and read by intruders. As there is no centralized control for data exchange among peers in a P2PDMS, we cannot assume any central third party security infrastructure (e.g. PKI) to protect confidential data. This paper proposes a security protocol for data exchange in P2PDMSs based on pairing-based cryptography and data exchange policy. The protocol allows the peers to compute their …
Dimension Reduction Parameters For Leukemia Diagnostic Based In Subspace Arrangement Segmentation, Leticia Flores-Pulido, Gustavo Rodr?Guez-G?Mez, Jes?S A. A. Gonz?Lez
Dimension Reduction Parameters For Leukemia Diagnostic Based In Subspace Arrangement Segmentation, Leticia Flores-Pulido, Gustavo Rodr?Guez-G?Mez, Jes?S A. A. Gonz?Lez
Applied Mathematics & Information Sciences
This paper presents a novel approach for the classification of acute leukemia subtypes using image processing and mathematical techniques. The preprocessing phase analyses 376 features from abdnormal leukocytes images. The features or parameters are Leukemia Parameters that helps to lymphoblastic subtypes detection which come from bone marrow images with heterogeneous staining. The second phase imply the robust generalized principal component analysis as segmentation method for data classification into a subspace arrangement with tree dimensions for each plane of lymphoblastic subtype and four dimension for the subspace arrangement. The novel of our proposal states that the two subtypes of acute leukemia …
A Mathematical Framework For Parallel Computing Of Discrete-Time Discrete-Frequency Transforms In Multi-Core Processors, Pablo Soto-Quiros
A Mathematical Framework For Parallel Computing Of Discrete-Time Discrete-Frequency Transforms In Multi-Core Processors, Pablo Soto-Quiros
Applied Mathematics & Information Sciences
This paper presents a mathematical framework for a family of discrete-time discrete-frequency transforms in terms of matrix signal algebra. The matrix signal algebra is a mathematics environment composed of a signal space, a finite dimensional linear operators and special matrices where algebraic methods are used to generate these signal transforms as computational estimators. The matrix signal algebra contribute to analysis, design and implementation of parallel algorithms in multi-core proccesors. In this work, an implementation and experimental investigation of the mathematical framework are performed using MATLABr with the Parallel Computing ToolboxTM. We found that there is advantage to use multi-core processors …
New Symmetric Identities Involving Q-Zeta Type Functions, Serkan Araci, Armen Bagdasaryan, Cenap ?Zel, H. M. Srivastava
New Symmetric Identities Involving Q-Zeta Type Functions, Serkan Araci, Armen Bagdasaryan, Cenap ?Zel, H. M. Srivastava
Applied Mathematics & Information Sciences
The main object of this paper is to obtain several symmetric properties of the q-zeta type functions. As applications of these properties, we give some new interesting identities for the modified q-Genocchi polynomials. Finally, our applications are shown to lead to a number of interesting results which we state in the present paper.
An Optimization Algorithm For Solving Systems Of Singular Boundary Value Problems, Zaer Abo-Hammour, Omar Abu Arqub, Othman Alsmadi, Shaher Momani
An Optimization Algorithm For Solving Systems Of Singular Boundary Value Problems, Zaer Abo-Hammour, Omar Abu Arqub, Othman Alsmadi, Shaher Momani
Applied Mathematics & Information Sciences
In this paper, an optimization algorithm is presented for solving systems of singular boundary value problems. In this technique, the system is formulated as an optimization problem by the direct minimization of the overall individual residual error subject to the given constraints boundary conditions, and is then solved using continuous genetic algorithm in the sense that each of the derivatives is replaced by an appropriate difference quotient approximation. Two numerical experiments are carried out to verify the mathematical results, and the theoretical statements for the solutions are supported by the results of numerical experiments.Meanwhile, the statistical analysis is provided in …