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Articles 1351 - 1380 of 2320
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Pushout With Differentiated Dropping Queue Management For High-Speed Networks, Jui-Pin Yang
Pushout With Differentiated Dropping Queue Management For High-Speed Networks, Jui-Pin Yang
Applied Mathematics & Information Sciences
Queue management is critical for high-performance and high-speed routers. Pushout scheme (PO) performs well in terms of buffer utilization and packet loss probability, but requires identifying the longest flow queue and executing frequent pushout operations whenever a packet arrives at a full buffer. Additionally, PO cannot effectively protect lightly loaded flows against bandwidth aggression from heavily loaded flows under bursty traffic conditions. To overcome the disadvantages of the PO, this study proposes a simple but efficient queue management scheme, namely pushout with differentiated dropping (PDD). PDD uses a weight function to estimate the weights of active flows based on their …
Modeling Of Adaptive Cyber Physical Systems Using Aspect-Oriented Approach, Zhilin Qian, Huiqun Yu, Guisheng Fan
Modeling Of Adaptive Cyber Physical Systems Using Aspect-Oriented Approach, Zhilin Qian, Huiqun Yu, Guisheng Fan
Applied Mathematics & Information Sciences
This paper proposes an aspect-oriented approach to modeling adaptive cyber physical system (CPS) using Petri nets. The core concerns of CPSs are described as device model and task model, and dynamic variations of system behaviors or environment conditions are extracted as crosscutting concerns. The models of runtime inspection as well as device adaptation and task adaptation are designed as aspects nets. For the device adaptation strategy, fault types are analyzed and the control loop concept is integrated to form the adaptation aspect model. For the task adaptation, a rescheduling method using PSO-Pareto algorithm to find the best solution of the …
Elucidating The Merits Of Customer Relationship Management In Cloud Computing, Huan-Ming Chuang, Chien-Ku Lin, Da-Ren Chen, You-Shyang Chen, Li-Chuan Wang
Elucidating The Merits Of Customer Relationship Management In Cloud Computing, Huan-Ming Chuang, Chien-Ku Lin, Da-Ren Chen, You-Shyang Chen, Li-Chuan Wang
Applied Mathematics & Information Sciences
Hi-tech companies pursue innovative strategies continuously to enhance their competitive edge in the emerging cloud computing market. As a cloud service model of competitive strategy, Software as a Service (SaaS) strives to foster customer relationship management (CRM). Based on the cloud experience of professional users in CRM for cloud computing, this study elucidates the organizational benefits of CRM in this emerging field. The benefits of enterprise CRM for cloud computing are identified using appropriate qualitative methodologies, including means-end chain (MEC) and interpretive structural modeling (ISM) methods. This study pursues the following three objectives: (1) to help enterprises understand the feasibility …
Particle Swarm Optimization With Taguchi For Cluster Heads Election In Wireless Sensor Networks, Young-Long Chen, Wan-Ren Chen
Particle Swarm Optimization With Taguchi For Cluster Heads Election In Wireless Sensor Networks, Young-Long Chen, Wan-Ren Chen
Applied Mathematics & Information Sciences
The main features of wireless sensors are energy limited, hence, the algorithm design with the enhancement of energy efficiency becomes an important topic. Divide cluster in a wireless sensor network (WSN) is a very important technology which can blend the data into the cluster to expand the lifetime of the entire network. In this paper, we are going to propose a new algorithm to be associated with a particle swarm optimization (PSO) algorithm and Taguchi algorithm to select the optimal cluster heads from a wireless cluster sensor network. In a WSN, PSO algorithm is used to select cluster head and …
On Fast Channel Polarization Of Double-Layer Binary Discrete Memoryless Channels, Wei Duan, Dazu Huang, Ying Guo, Moon Ho Lee
On Fast Channel Polarization Of Double-Layer Binary Discrete Memoryless Channels, Wei Duan, Dazu Huang, Ying Guo, Moon Ho Lee
Applied Mathematics & Information Sciences
Polar codes are linear codes which split input channels to increase its transition performance and provably achieve the capacity of symmetric binary discrete memoryless channels (B-DMC). The idea of Polar codes is related to the recursive construction of Reed-Muller codes on the basis of 2-order square matrix G2, can achieve the symmetric capacity of arbitrary binary-input discrete memoryless channels and to create from N independent copies of a B-DMC W, N different channels through a linear transformation. It has already been mentioned that in principle larger matrices can be employed to construct polar codes with better performances. In this paper …
Research On Multidisciplinary Analysis Tool Based On Parametric Model Of Hypersonic Morphing Waverider, Yanbin Liu, Liangqiang Zhou, Yuping Lu
Research On Multidisciplinary Analysis Tool Based On Parametric Model Of Hypersonic Morphing Waverider, Yanbin Liu, Liangqiang Zhou, Yuping Lu
Applied Mathematics & Information Sciences
Hypersonic waverider design is a challenging task due to the strong coupling relations between the integrated system and flight performance, thus the development of the multidisciplinary analysis tool is necessary to implement the complex design demands. In this paper, the multidisciplinary design methods are studied to construct the control-related analysis tool for hypersonic morphing waverider. First, the realization process of the integrated design is provided for the morphing waverider in terms of the hypersonic flight characteristics. Then the nonlinear parametric model of hypersonic morphing vehicle is built with the consideration of the shape parameterization and force estimation. Afterwards, the multidisciplinary …
A Multi-Criteria Decision-Making Approach Based On Todim And Choquet Integral Within A Multiset Hesitant Fuzzy Environment, Juan-Juan Peng, Jian-Qiang Wang, Huan Zhou, Xiao-Hong Chen
A Multi-Criteria Decision-Making Approach Based On Todim And Choquet Integral Within A Multiset Hesitant Fuzzy Environment, Juan-Juan Peng, Jian-Qiang Wang, Huan Zhou, Xiao-Hong Chen
Applied Mathematics & Information Sciences
Hesitant fuzzy sets (HFSs), which were generalized from fuzzy sets, constrain the membership degree of an element to be a set of possible values between zero and one; furthermore if two or more decision-makers select the same value, it is only counted once. However, a situation where the evaluation value is repeated several times differs from one where the value appears only once. Multiset hesitant fuzzy sets (MHFSs) can deal effectively with a case where some values are repeated more than once in an HFS. In this paper, the new comparison method and corresponding distance of multiset hesitant fuzzy elements …
An Efficient Ic-Lock Self-Reader Data Security In Cloud Computing, Min-Shiang Hwang, Cheng-Chi Lee, Pei-Shan Chung
An Efficient Ic-Lock Self-Reader Data Security In Cloud Computing, Min-Shiang Hwang, Cheng-Chi Lee, Pei-Shan Chung
Applied Mathematics & Information Sciences
Recently, the concept of cloud computing is appearing, and the cloud storage service becomes a main issue because of its convenience and low storage cost. The cloud provides storage space service that cloud subscriber (or can be also called cloud user) can upload his/her own data and store it on cloud. However, the cloud is untrustful or semi-trustful. The cloud subscriber doesn’t want the cloud provider to know the information about the data. Therefore, serial researches discuss and propose several schemes to secure the data storage. In 2012, Liao proposed an IC-LOCK approach for the self-reader, which can let cloud …
A Novel Approach To Dynamically Construct User Navigation-Oriented Quantitative Model For Web Service, Honghao Gao, Huaikou Miao, Hongwei Zeng, Yonghua Zhu
A Novel Approach To Dynamically Construct User Navigation-Oriented Quantitative Model For Web Service, Honghao Gao, Huaikou Miao, Hongwei Zeng, Yonghua Zhu
Applied Mathematics & Information Sciences
Web service is considered as one of computational resources available on network, which has become a popular paradigm to develop platform-independent applications. However, due to the diverse-grained, non-determinism, and timeliness natures of Web service, it is not surprising thatWeb-based service application frequently experiences problems, such as unreachable pages and reduced responsiveness. To address this problem, the primary task is to verify and testWeb engineering for trustworthy, in which the quantitative model generation of service behaviors plays a critical role during software life cycle, especially business processes verification. In this paper, navigation behaviors between Web application and users are formalized as …
Enhancement Of Qubit-Qubit Correlation Via Non- Resonance Two-Mode Raman Coupled Model By Applying Bang-Bang Pulses, M. S. Ateto
Enhancement Of Qubit-Qubit Correlation Via Non- Resonance Two-Mode Raman Coupled Model By Applying Bang-Bang Pulses, M. S. Ateto
Applied Mathematics & Information Sciences
The influence of a pulsed control on nonclassical correlation and entanglement is studied. To illustrate, a scheme of initially entangled noninteracting two qubits coupled independently to a couple of quantized field modes via a nonresonant Raman interaction has been proposed. Mainly, two types of measures are considered, namely, quantum discord and concurrence. We discuss how concurrence can play efficiently the same role as discord in absence of entanglement. Dynamics of states, initially, having ”X”- structure density matrix are studied to help in shedding light on this important role. We mainly focus on extended Werner-like states (EWL). We show that, for …
Spectrum And Fine Spectrum Of The Lower Triangular Matrix B(R,0, S) Over The Sequence Space Cs, Binod Chandra Tripathy, Rituparna Das
Spectrum And Fine Spectrum Of The Lower Triangular Matrix B(R,0, S) Over The Sequence Space Cs, Binod Chandra Tripathy, Rituparna Das
Applied Mathematics & Information Sciences
Fine spectra of various matrix operators on different sequence spaces have been examined by several authors. Recently, some authors have determined the approximate point spectrum, the defect spectrum and the compression spectrum of various matrix operators on different sequence spaces. Here in this article we have determined the spectrum and fine spectrum of the lower triangular matrix B(r,0, s) on the sequence space cs. In a further development, we have also determined the approximate point spectrum, the defect spectrum and the compression spectrum of the operator B(r,0, s) on the sequence space cs.
Hybrid Teleportation Between Qutrit And Qubit, Wei Yang, Liusheng Huang, Lu Li
Hybrid Teleportation Between Qutrit And Qubit, Wei Yang, Liusheng Huang, Lu Li
Applied Mathematics & Information Sciences
Previous quantum teleportation schemes mainly focus on teleporting the unknown state via entanglement state with the same dimension. In this paper, we study the problem of hybrid teleportation. We present a protocol for faithful teleportation of an unknown qutrit state using a special kind of four-qubit entanglement state. The construction of the special four-qubit entanglement state is described and the number of the qubits consumed in the protocol is shown to be minimal.
Anticipation-Based Green Data Classification Strategy In Cloud Storage System, Xindong You, Chi Dong, Li Zhou, Jie Huang, Congfeng Jiang
Anticipation-Based Green Data Classification Strategy In Cloud Storage System, Xindong You, Chi Dong, Li Zhou, Jie Huang, Congfeng Jiang
Applied Mathematics & Information Sciences
The energy consumption problem is one of the critical issues to be addressed in current large-scale storage systems. In order to reduce energy consumption of cloud storage system and meet the performance requirements of users, this paper proposes a green data classification strategy based on anticipation (AGDC), which classify the data in cloud storage system: the hot data stored in the hot disk regions, the cold data stored in the cold disk regions. AGDC employ neural-network prediction on seasonal data, prediting the temperature of data in the next period, executing seasonal data migration in cold and hot regions. This paper …
Certain Integral Transforms For The Incomplete Functions, Junesang Choi, Praveen Agarwal
Certain Integral Transforms For The Incomplete Functions, Junesang Choi, Praveen Agarwal
Applied Mathematics & Information Sciences
Srivastava et al. [14] introduced the incomplete Pochhammer symbols that lead to a natural generalization and decomposition of a class of hypergeometric and other related functions to mainly investigate certain potentially useful closed-form representations of definite and semi-definite integrals of various special functions. Here, in this paper, we use the integral transforms like Beta transform, Laplace transform, Mellin transform, Whittaker transforms, K-transform and Hankel transform to investigate certain interesting and (potentially) useful integral transforms the incomplete hypergeometric type functions pgq[z] and pGq[z]. Relevant connections of the various results presented here with those involving simpler and earlier ones are also pointed …
Practical Techniques For Ack Authentication In Ieee 802.15.4 Networks, Eun-Kyung Ryu, Kee-Young Yoo
Practical Techniques For Ack Authentication In Ieee 802.15.4 Networks, Eun-Kyung Ryu, Kee-Young Yoo
Applied Mathematics & Information Sciences
A secure acknowledgement (ACK) mechanism is essential to ensure reliable data transfer in wireless communication networks. However, because efficiency is the highest priority for resource-constrained settings, existing wireless security protocols tend to exclude integrity or confidentiality protection for ACK messages. This limits the use of ACKmechanisms for reliable communication. In this paper we describe our schemes for supporting ACK authentication in 802.15.4 networks. Our schemes do not require a pre-setup phase for the sharing of additional secrets and introduce no additional computation or communication overhead. They are practical for use and directly applicable to the 802.15.4 standard.
Affinity Propagation-Based Clustering For Data Streams, Walid Atwa, Kan Li
Affinity Propagation-Based Clustering For Data Streams, Walid Atwa, Kan Li
Applied Mathematics & Information Sciences
Clustering data stream is an active research area that has recently emerged to discover knowledge from large amounts of continuously generated data. Several clustering algorithms have been proposed for static data. Nevertheless, data stream clustering imposes several challenges to be addressed, such as dealing with dynamic data that arrive in an online fashion, capable of performing fast and incremental processing of data objects, suitably addressing time and memory limitations, and how to handle the evolving patterns that are important characteristics of streaming data with dynamic distributions. In this paper, we propose an algorithm that extends Affinity Propagation (AP) to handle …
Priority-Aware Fair Queueing For Qos Provisioning In The Internet, Jui-Pin Yang
Priority-Aware Fair Queueing For Qos Provisioning In The Internet, Jui-Pin Yang
Applied Mathematics & Information Sciences
Fair bandwidth sharing and differentiated drop precedence are two key QoS provisioning in the Internet. However, they both are studied separately. In the paper, we propose a simple active queue management scheme that deals with fair bandwidth sharing and differentiated drop precedence at the same time namely priority-aware fair queueing (PAFQ). PAFQ uses a dynamic threshold to keep up with traffic variations and hence it can efficiently discriminate non-aggressive flows from aggressive flows. Furthermore, a swap policy conditionally exchanges the records of current queue lengths of both compared packets from the same flow by considering respective drop precedence. Accordingly, this …
Investigating The Assessment Criteria Of Banking Supervision From The Perspective Of Financial Supervision Law, Wen-Chin Chen, Hung-Yi Tsai, Sang-Bing Tsai, Min Fang Chien, Lei Wang, Quan Chen
Investigating The Assessment Criteria Of Banking Supervision From The Perspective Of Financial Supervision Law, Wen-Chin Chen, Hung-Yi Tsai, Sang-Bing Tsai, Min Fang Chien, Lei Wang, Quan Chen
Applied Mathematics & Information Sciences
Following financial liberalization and internationalization, financial innovation activities have become prevalent, banking has grown increasingly complex, and the risk involved in the financial system has increased. To respond effectively to the rapid changes in the financial environment, the advanced countries in the global financial system have committed themselves to promoting financial reform. They are reviewing their financial supervisory systems and financial regulations, improving financial supervisory technology, and urging banks to strengthen their risk management and corporate governance to improve their financial systems and increase financial competitiveness. Financial supervision refers to the power of financial authorities to supervise and manage financial …
New Adaptive Kernel Principal Component Analysis For Nonlinear Dynamic Process Monitoring, Chouaib Chakour, Mohamed Faouzi Harkat, Messaoud Djeghaba
New Adaptive Kernel Principal Component Analysis For Nonlinear Dynamic Process Monitoring, Chouaib Chakour, Mohamed Faouzi Harkat, Messaoud Djeghaba
Applied Mathematics & Information Sciences
In this paper a new algorithm for adaptive kernel principal component analysis (AKPCA) is proposed for dynamic process monitoring. The proposed AKPCA algorithm combine two existing algorithms, the recursive weighted PCA (RWPCA) and the moving window kernel PCA algorithms. For fault detection and isolation, a set of structured residuals is generated by using a partial AKPCA models. Each partial AKPCAmodel is performed on subsets of variables. The structured residuals are utilized in composing an isolation scheme, according to a properly designed incidence matrix. The results for applying this algorithm on the nonlinear time varying processes of the Tennessee Eastman shows …
Research On Rule-Based Reasoning Mechanism Of Softman System, Qingchuan Zhang, Guangping Zeng, Danfeng Wu, Xiaowei Xu
Research On Rule-Based Reasoning Mechanism Of Softman System, Qingchuan Zhang, Guangping Zeng, Danfeng Wu, Xiaowei Xu
Applied Mathematics & Information Sciences
In order to give SoftMan system a flexible real-time self-adaptive ability, a kind of extended ECA rule model namely RSECAP is put forward. In this rule model, the new concepts, resource subject and SoftMan object, are introduced to depict the trigger and effective object of the rule respectively, and also the post condition is introduced to express the state constraint after the rule action is executed. Based on the RSECAP model, SoftMan forward rule-based reasoning mechanism is established, and rule conflict problem is discussed. The formal descriptions of rule conflict problem are defined from two different perspectives of action constraint …
Exponential Estimators For Population Mean Using The Transformed Auxiliary Variables, Rahana Rashid, Muhammad Noor Ul Amin, Muhammad Hanif
Exponential Estimators For Population Mean Using The Transformed Auxiliary Variables, Rahana Rashid, Muhammad Noor Ul Amin, Muhammad Hanif
Applied Mathematics & Information Sciences
This paper deals with exponential ratio-cum-ratio and product-cum-product type estimators using transformed auxiliary variables under simple random sampling without replacement. The proposed estimators are useful for estimating the finite population mean. The development of estimators is based on the information of two transformed auxiliary variables. The generalized form of the proposed estimator has been developed and the special cases are discussed. The bias and mean square error expressions of the proposed estimators are derived up to the first order of approximation. An empirical study has been carried out to compare the efficiency of proposed estimators with some available estimators in …
A Depth Specific Description Of Somewhat Homomorphic Encryption And Its Applications, Hyang-Sook Lee, Seongan Lim
A Depth Specific Description Of Somewhat Homomorphic Encryption And Its Applications, Hyang-Sook Lee, Seongan Lim
Applied Mathematics & Information Sciences
In this paper, we consider the depth-specific description of somewhat homomorphic encryption(SHE) schemes over integers. The ciphertexts of SHE scheme may have various forms depending on its encryption depth, and this makes the correctness check of the encryption scheme cumbersome. However, if one can present a SHE scheme depth-specifically, the correctness check is enough with depth-wise checks. We relate the homomorphic evaluation algorithms and binary operations on the set C of ciphertexts, and investigate what makes the depth-specific description is enough for a somewhat homomorphic encryption. We conclude that it is sufficient to have C with a ring-like structure with …
A New Fifth Order Derivative Free Newton-Type Method For Solving Nonlinear Equations, Manoj Kumar, Akhilesh Kumar Singh, Akanksha Srivastava
A New Fifth Order Derivative Free Newton-Type Method For Solving Nonlinear Equations, Manoj Kumar, Akhilesh Kumar Singh, Akanksha Srivastava
Applied Mathematics & Information Sciences
The present paper deals with fifth order convergent Newton-type with and without derivative iterative methods for estimating a simple root of nonlinear equations. The error equations are used to establish the fifth order of convergence of the proposed iterative methods. Finally, various numerical comparisons are made using MATLAB to demonstrate the performence of the developed methods.
A Computational Tool For Some Boolean Partial Maps, Silvia M. Sanahuja
A Computational Tool For Some Boolean Partial Maps, Silvia M. Sanahuja
Applied Mathematics & Information Sciences
This work is devoted to constructing a deterministic finite automaton whose states are particular types of order-preserving Boolean partial maps introduced by Bisi and Chiaselotti. The domains of such maps are subsets of a finite poset equipped with an idempotent and antitone map. These maps can be identified with certain linear systems of real inequalities and this automaton provides a computational model useful for building the global extensions of such maps.
Weighted Exponential Distribution: Different Methods Of Estimations, Fatemah Alqallaf, M. E. Ghitany, Claudio Agostinelli
Weighted Exponential Distribution: Different Methods Of Estimations, Fatemah Alqallaf, M. E. Ghitany, Claudio Agostinelli
Applied Mathematics & Information Sciences
The aim of this paper is to compare through Monte Carlo simulations the finite sample properties of the estimates of the parameters of the weighted exponential distribution obtained by five estimation methods: maximum likelihood, moments, L-moments, ordinary least-squares, and weighted least-squares. The bias and mean-squared error are used as the criterion for comparison. The simulation study concludes that the last four estimation methods perform well and are highly competitive with the maximum likelihood method in small and large samples. This conclusion is also supported with the analysis of two real data sets.
A Temporo-Spatial Stochastic Model For Optimal Positioning Of Humanitarian Inventories For Disaster Relief Management, V. S. S. Yadavalli, E. Van Wyk, S. Udayabaskaran
A Temporo-Spatial Stochastic Model For Optimal Positioning Of Humanitarian Inventories For Disaster Relief Management, V. S. S. Yadavalli, E. Van Wyk, S. Udayabaskaran
Applied Mathematics & Information Sciences
A temporo-spatial stochastic model is formulated for analysing the problem of positioning of humanitarian relief centres for optimum disaster-relief management. Disasters occur in a line segment region of the real line according to a Poisson process. Two relief centres are positioned at two different points of the line segment for providing humanitarian relief to the disaster sites. The stationary mean rate of relief rendered by the two inventories is obtained. By optimizing the mean rate, the optimum positions of the two relief centres are obtained.
Shadow Mapping Algorithms: Applications And Limitations, Hoshang Kolivand, Mohd Shahrizal Sunar, Ayman Altameem, Amjad Rehman, Mueen Uddin
Shadow Mapping Algorithms: Applications And Limitations, Hoshang Kolivand, Mohd Shahrizal Sunar, Ayman Altameem, Amjad Rehman, Mueen Uddin
Applied Mathematics & Information Sciences
This study provides an overview of popular and famous algorithms and techniques in shadow maps generation.Well- known techniques in shadow maps generation is described detail, along with a discussion of the advantages and drawbacks of each. Basic ideas, improvements and future works of the techniques are also comprehensively summarized and analyzed in depth. Often, programmers have difficulty selecting an appropriate shadow generation algorithm that is specific to their purpose. We have classified and systemized these techniques. The main goal of this paper is to provide researchers with background on a variety of shadow mapping techniques so as make it easier …
Improvement And Application Of Particle Swarm Optimization Algorithm Based On The Parameters And The Strategy Of Co-Evolution, Haigang Li, Qian Zhang, Yong Zhang
Improvement And Application Of Particle Swarm Optimization Algorithm Based On The Parameters And The Strategy Of Co-Evolution, Haigang Li, Qian Zhang, Yong Zhang
Applied Mathematics & Information Sciences
PSO algorithm is an intelligent optimization algorithm based on swarm intelligence. Particle swarm optimization algorithm is simple, easy to implement, and it has a wide application prospect in scientific research and engineering applications. In real life, most of the optimization problem is the optimization problem of some nonlinear discrete with the existence of local. PSO algorithm also has some defects in treating optimization problem. The optimal performance of the PSO algorithm is efficiency; the attribute weights are optimized, which is the same as to improve the accuracy of case retrieval. The application of case is based reasoning in the optimization …
Optimized Resource Scheduling Mechanism In Virtual Cluster System, Yunfa Li, Sheng Xiong
Optimized Resource Scheduling Mechanism In Virtual Cluster System, Yunfa Li, Sheng Xiong
Applied Mathematics & Information Sciences
With the growth of the number of users and the frequency of the users using virtual cluster system, the scheduling and the migration of system resources are becoming more and more frequent. In this situation, the energy consumption of system is becoming more and more serious. Therefore, it has become an important question that how to reduce energy consumption in virtual cluster system. In order to resolve this problem, we propose an optimized resource scheduling mechanism in virtual cluster system. In the optimized resource scheduling mechanism, we first propose an optimal resource scheduling model for reducing energy consumption. Then, we …
Auxiliary Domain Selection In Cross-Domain Collaborative Filtering, Chang Yi, Ming-Sheng Shang, Qian-Ming Zhang
Auxiliary Domain Selection In Cross-Domain Collaborative Filtering, Chang Yi, Ming-Sheng Shang, Qian-Ming Zhang
Applied Mathematics & Information Sciences
The problem of data sparsity largely limits the accuracy of recommender systems in collaborative filtering model. To alleviate the problem, cross-domain collaborative filtering was proposed by harnessing the information from the auxiliary domains. Previous works mainly focused on improving the model of utilizing the auxiliary information yet little on the selection of auxiliary domains, although it is observed that the result of recommendation depends on the characteristics of auxiliary dataset. In this paper, we study the validity of cross-domain collaborative filtering by movie recommendation via different auxiliary domains of different movie genres. Through extensive experiments we find that the number …