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Study Of Four Types Of Learning Bayesian Networks Cases, Yonghui Cao
Study Of Four Types Of Learning Bayesian Networks Cases, Yonghui Cao
Applied Mathematics & Information Sciences
As the combination of parameter learning and structure learning, learning Bayesian networks can also be examined, Parameter learning is estimation of the dependencies in the network. Structural learning is the estimation of the links of the network. In terms of whether the structure of the network is known and whether the variables are all observable, there are four types of learning Bayesian networks cases. In this paper, first introduce two cases of learning Bayesian networks from complete data: known structure and unobservable variables and unknown structure and unobservable variables. Next, we study two cases of learning Bayesian networks from incomplete …
A Note On The Bounded Solutions To X′′+C(T, X, X′)+Q(T)B(X) = F (T), Cemil Tunç
A Note On The Bounded Solutions To X′′+C(T, X, X′)+Q(T)B(X) = F (T), Cemil Tunç
Applied Mathematics & Information Sciences
Kroopnick (2010) discussed the bounded solutions of certain non-autonomous differential equations of the second order by using the integral test. In this paper, instead of the integral test, we study the results of Kroopnick [9] by using the Liapunov’s function approach. We compare the established results with that of Kroopnick [9]. We also give some additional results on the equi-bounded solutions and uniformly-bounded solutions, and an example is given for the illustrations.
Design Of Finite-Time Synchronization Controller And Its Application To Security Communication System, Tao Ren, Zhi-Liang Zhu, Hai Yu
Design Of Finite-Time Synchronization Controller And Its Application To Security Communication System, Tao Ren, Zhi-Liang Zhu, Hai Yu
Applied Mathematics & Information Sciences
In this paper, an finite-time synchronization controller is proposed for the general chaos model. Compared to other results, the controller designed is simpler and independent on the nonlinear function of chaos system. So the finite-time control scheme can be used in a wide range of chaos system. The simulation results are given to illustrate the effectiveness of the finite-time controller and the applicability to security communication system of this synchronization scheme.
Decision-Making Through Uncertain Linguistic Information By Multi-Attribute Group: Concerning Credit Guarantee Products Risk, Yong He, Jian-Xing Weng
Decision-Making Through Uncertain Linguistic Information By Multi-Attribute Group: Concerning Credit Guarantee Products Risk, Yong He, Jian-Xing Weng
Applied Mathematics & Information Sciences
According to the complexity of credit guarantee products risk, a corresponding risk evaluation system is established here. And uncertain linguistic information is adopted to describe the attribute weight and attribute value of evaluation indicators, and thus a multi-attribute group decision-making model of uncertain linguistic information concerning credit guarantee products risks is established. ULWM and ULHA operators are respectively used in this paper to collect evaluation values of synthesized attribute and overall attribute values of groups. And thus the comprehensive evaluation information of alternatives will be obtained. Then, possibility formula is used to construct a possibility matrix based on which we …
Application Of Fuzzy Comprehensive Evaluation In Cognitive Networks For Optimal Network Selection, Xiaoming Chen, Huiqiang Wang, Hongwu Lv, Amjad Ali, Zhendong Wang
Application Of Fuzzy Comprehensive Evaluation In Cognitive Networks For Optimal Network Selection, Xiaoming Chen, Huiqiang Wang, Hongwu Lv, Amjad Ali, Zhendong Wang
Applied Mathematics & Information Sciences
Network selection mechanisms play a vital role in ensuring quality of service (QoS)in the cognitive networks environment. In this paper we develop a network selection scheme for an integrated UMTS/WLAN system to guarantee mobile users being always best connected. We focus on the optimization of resource utilization, while ensuring acceptable QoS provision to the end users. The proposed scheme comprises three parts. First one is to detect the availability of access networks by following cognitive network architecture under the cross-layer design paradigm. While the second is to apply fuzzy comprehensive evaluation to decide the relative weights of evaluative criteria set …
Proposal For Safety Inspection Of Multiple Dwellings In The Era Of Sustainability, Sang-Hoon Park, Cheonghoon Baek, Dong-Keon Kim
Proposal For Safety Inspection Of Multiple Dwellings In The Era Of Sustainability, Sang-Hoon Park, Cheonghoon Baek, Dong-Keon Kim
Applied Mathematics & Information Sciences
In this paper, methods to institute a sustainable safety inspection system for extent multiple dwellings in Korea are presented. The results of the study are summarized below. First, on the basis of a study on the safety inspection systems for multiple dwellings in Japan and the United States, the state of the safety inspection systems and the policies for multiple dwellings in Korea is examined. Subsequently, the weaknesses of the Korean safety inspection systems and the need to revise them are discussed. Second, the housing circumstances in Korea, Japan, and the United States are analyzed and compared, including laws on …
A Two-Layer Geo-Cloud Based Dynamic Replica Creation Strategy, Zhen Ye, Shanping Li, Junzan Zhou
A Two-Layer Geo-Cloud Based Dynamic Replica Creation Strategy, Zhen Ye, Shanping Li, Junzan Zhou
Applied Mathematics & Information Sciences
To improve data availability and reduce user access latency, geo-cloud based data replication is widely used in large global Web sites, such as Facebook. However, as the popularity of data is different and will change as time goes by, simple static replica creation strategies that assign the same number of replicas to all data, never changing thereafter, are not suitable. To this issue, we propose a two-layer geo-cloud based dynamic replica creation strategy called TGstag. TGstag addresses the issue with twofold: policy constraint heuristic inter-datacenter replication and load aware adaptive intra-datacenter replication. TGstag aims to minimize both cross-datacenter bandwidth consumption …
Representation And Symbolization Of Motion Captured Human Action By Locality Preserving Projections, Sang Ryong Lee, Geun Sub Heo, Choon-Young Lee
Representation And Symbolization Of Motion Captured Human Action By Locality Preserving Projections, Sang Ryong Lee, Geun Sub Heo, Choon-Young Lee
Applied Mathematics & Information Sciences
Human motion analysis and assessment are important in determining Parkinsons disease and stroke, or in measuring skill quality in basic motions. Reduced space is useful in representing motion segments and finding basic behavioral patterns for humanoid robot control using the modularized approach. In the current paper, we represent motion-captured data of human action in a reduced space of nonlinear degrees of freedom in which the original motion is characterized. First, we represent high-dimensional data, such as motion sequence of the position of joints in Cartesian space, in a reduced space using the locality preserving projection (LPP) method. Second, we find …
Fuzzy Neural Network-Based Time Delay Prediction For Networked Control Systems, Chang-Wook Han
Fuzzy Neural Network-Based Time Delay Prediction For Networked Control Systems, Chang-Wook Han
Applied Mathematics & Information Sciences
In networked control systems, the varying transmission time delay of the transmitting signal is unavoidable. If the varying transmission time delay exceeds the fixed sampling time, the system will be unstable. To solve this problem, in this paper, the logicbased fuzzy neural networks are applied to the prediction of transmission time delay. The predicted time delay is used as a sampling period of the networked control systems. To show the usability of the proposed method, the transmission time delay data are collected from the real system, and these collected data are used to train and test the logic-based fuzzy neural …
Finite Rings With Large Anticommuting Probability, S. M. Buckley, D. Machale, Y. Zelenyuk
Finite Rings With Large Anticommuting Probability, S. M. Buckley, D. Machale, Y. Zelenyuk
Applied Mathematics & Information Sciences
We investigate the set of values attained by Prac(R), the probability that a random ordered pair of elements in a finite ring R has zero Jordan product. In particular, we find all possible values of Prac(R) in [15/32,1].
Adaptive Lossless Prediction Based Image Compression, Raka Jovanovic, Rudolph A. Lorentz
Adaptive Lossless Prediction Based Image Compression, Raka Jovanovic, Rudolph A. Lorentz
Applied Mathematics & Information Sciences
Predictive methods of image compression traditionally visit the pixels to be compressed in raster scan order, making a prediction for that pixel and storing the difference between the pixel and its prediction. We introduce a new predictive lossless compression method in which the order in which the pixels are visited is determined using a predictor based on previously known pixel values. This makes it possible to reconstruct the image without storing this path. In our tests on standard benchmark images; we show that our approach gives a significant improvement to row wise use of one or two dimensional predictors and …
Self-Repair Of Cooperation Network Under Nodes Failure, Yaofeng Zhang, Renbin Xiao
Self-Repair Of Cooperation Network Under Nodes Failure, Yaofeng Zhang, Renbin Xiao
Applied Mathematics & Information Sciences
To further study the influences of nodes failure on the total fitness degree and the cooperative ratio in cooperation network, we established the cooperation network model firstly, and then, the update rules of individual strategy and the rules of networks selfrepair are constructed. The process of self-repair in cooperation network under nodes failure is analyzed by the agent-based simulation experiments. The results show that the nodes failure not only reduces the total fitness degree, but also reduces the cooperative ratio in the cooperation network. However, by introducing the self-repair rules, the emergence of a few new cooperative nodes can soon …
The Analysis Method About Change Region Of Process Model Based On Module, Xianwen Fang, Lu Liu, Xiangwei Liu
The Analysis Method About Change Region Of Process Model Based On Module, Xianwen Fang, Lu Liu, Xiangwei Liu
Applied Mathematics & Information Sciences
Business process management is a common approach of analyzing evolution and formulation of process models. But it is inevitable to come about the change problem of process models in BPMN, so that quickly and accurately seeking the change region of process models is the key thing of BPMN. Existing research is mainly dependent on the target model, and seeks the change region of process models by fixing the observation points. However, on the one hand, this way needs to compare with the target model. On the other hand, by static analysis, it can not quickly and accurately seek the change …
Delay Behavior Of On-Off Scheduling: Extending Idle Periods, Allen Roginsky, Ken Christensen, Mehrgan Mostowfi
Delay Behavior Of On-Off Scheduling: Extending Idle Periods, Allen Roginsky, Ken Christensen, Mehrgan Mostowfi
Applied Mathematics & Information Sciences
On-off scheduling of systems that have the ability to sleep can be used to extend system idle periods and enable greater opportunities for energy savings from sleeping. In this paper, we achieve a theoretical understanding of the delay behavior of on-off scheduling as it may apply to communications links and other systems capable of sleeping. We consider a single-server coalescing queue with a scheduler that schedules on-off periods for the server in order to extend idle periods of the downstream link. At the start of an off period (duration To f f ) the server stops serving jobs immediately if …
Oscillation Theorems For Second-Order Nonlinear Dynamic Equation On Time Scales, M.Tamer Şenel
Oscillation Theorems For Second-Order Nonlinear Dynamic Equation On Time Scales, M.Tamer Şenel
Applied Mathematics & Information Sciences
This paper concerns the oscillation of solutions to the second order non-linear dynamic equation (r(t)xD (t))D + p(t) f (xs (t))g(xD (t)) = 0 on a time scale T which is unbounded above. By using a generalized Riccati transformation and integral averaging technique, we establish some new sufficient conditions which ensure that every solution of this equation oscillates.
Smp2-Based Architecture For Navigation Satellite System Simulation, Hou Hongtao, Li Qun, Wang Chao
Smp2-Based Architecture For Navigation Satellite System Simulation, Hou Hongtao, Li Qun, Wang Chao
Applied Mathematics & Information Sciences
The Performance Simulation for the Global Navigation Satellite System (GNSS), which can be used in the performance simulation and evaluation analysis of the Service Volume Segment of the GNSS is a part of the critical algorithm test and system index analysis for the GNSS. In this article, the requirements and features of the GNSS are analyzed firstly, and the method of performance simulation for the GNSS is studied. Then, the system operation architecture and model integration architecture based on compassable simulation based on SimulationModel Portability (SMP2) is proposed. The system architecture consists of model design, development, integrating, executing and analysis, …
Optimizing Dns Server Selection, Zheng Wang, Rui Wang
Optimizing Dns Server Selection, Zheng Wang, Rui Wang
Applied Mathematics & Information Sciences
In DNS zone delegation, the NS resource records of the delegated domain appear in both the parent and child zones, which complicates the domain name resolution procedure especially for server selection. In this paper, we investigate the recursive resolution mechanism for the delegated domain and the necessary operations. As there are no specifications for such resolution, we provide some recommendations such as NS record substitution mechanism. Furthermore, we analyze the delegation impacts on server selection as the NS records are obtained from both parent and child zone. We propose an integrated sever selection procedure to handle the lame delegation and …
A Topic Detection Approach Through Hierarchical Clustering On Concept Graph, Xiaohui Huang, Xiaofeng Zhang, Yunming Ye, Shengchun Deng, Xutao Li
A Topic Detection Approach Through Hierarchical Clustering On Concept Graph, Xiaohui Huang, Xiaofeng Zhang, Yunming Ye, Shengchun Deng, Xutao Li
Applied Mathematics & Information Sciences
Topic detection and tracking (TDT) algorithms have long been developed for the discovery of topics. However, most existing TDT algorithms suffer from paying less attention to: (1) temporal distance between a pair of topics; (2) the mutual effect between highly correlated topic terms. In this paper, we proposed a novel topic detection approach by applying hierarchical clustering on the constructed concept graph (HCCG), which is able to solve aforementioned shortcomings simultaneously. In this approach, the concept is first defined as well as the concept behavior curve. Then, the temporal graph is constructed with concept as vertexes and connected by the …
The New Lte Cryptographic Algorithms Eea3 And Eia3 Verification, Implementation And Analytical Evaluation, Ghizlane Orhanou, Said El-Hajji
The New Lte Cryptographic Algorithms Eea3 And Eia3 Verification, Implementation And Analytical Evaluation, Ghizlane Orhanou, Said El-Hajji
Applied Mathematics & Information Sciences
A new set of cryptographic algorithms is being proposed for inclusion in the ”4G” mobile standard called LTE (Long Term Evolution), and the algorithms are open for public evaluation. The new set of confidentiality and integrity algorithms EEA3/EIA3 is based on the new stream cipher ZUC. In the present paper, we are interested in making the verification and the implementation as well as performing the analytical analysis of the two algorithms, as we have done, in previous works, with the first two sets of the LTE cryptographic algorithms EEA1/EIA1 and EEA2/EIA2. The verification of the confidentiality algorithm results on a …
Video Forensic Marking Algorithm Using Peak Position Modulation, Jihah Nah, Jongweon Kim, Jaeseok Kim
Video Forensic Marking Algorithm Using Peak Position Modulation, Jihah Nah, Jongweon Kim, Jaeseok Kim
Applied Mathematics & Information Sciences
Forensic marking, a type of watermarking, is an efficient means of detecting copyright violation and tracing unauthorized access to digital content. In this paper, a new video forensic marking algorithm is proposed which uses peak position modulation (PPM) and can embed sufficient information to trace an illegal distributor. PPMuses the positions of correlation peaks, which are modulated by user information. Furthermore, a forensic mark is embedded into a 2-level 3D discrete wavelet transform (DWT) domain. Experimental results show the robustness against various attack and the capacity improvement of proposed algorithm.
Particle Swarm Optimization Algorithm For Multi- Salesman Problem With Time And Capacity Constraints, Shanchen Pang, Tan Li, Feng Dai, Meng Yu
Particle Swarm Optimization Algorithm For Multi- Salesman Problem With Time And Capacity Constraints, Shanchen Pang, Tan Li, Feng Dai, Meng Yu
Applied Mathematics & Information Sciences
Classic multiple traveling salesman problem (MTSP) requires to find the k closed circular paths which minimize the sum of the path lengths, and each vertex is visited only once by a salesman. This paper presents an optimized model for the balanced Multiple-salesman Problem with time and capacity constraints, it requires that a salesman visits each vertex at least once and returns to the starting vertex within given time. The balanced MSP is more widely used than MTSP. We describe a particle swarm optimization algorithm for balanced MSP and explain its simple application in the Post Office Scheduling Problem.We demonstrate the …
Modeling Based On Elman Wavelet Neural Network For Class-D Power Amplifiers, Li Wang, Jie Shao, Yaqin Zhong, Weisong Zhao, Reza Malekian
Modeling Based On Elman Wavelet Neural Network For Class-D Power Amplifiers, Li Wang, Jie Shao, Yaqin Zhong, Weisong Zhao, Reza Malekian
Applied Mathematics & Information Sciences
In Class-D Power Amplifiers (CDPAs), the power supply noise can intermodulate with the input signal, manifesting into power-supply induced intermodulation distortion (PS-IMD) and due to the memory effects of the system, there exist asymmetries in the PS-IMDs. In this paper, a new behavioral modeling based on the Elman Wavelet Neural Network (EWNN) is proposed to study the nonlinear distortion of the CDPAs. In EWNN model, the Morlet wavelet functions are employed as the activation function and there is a normalized operation in the hidden layer, the modification of the scale factor and translation factor in the wavelet functions are ignored …
New Multi-Path Routing Protocol In Ad Hoc Network, Chaoyi Zhang, Yandong Zhao
New Multi-Path Routing Protocol In Ad Hoc Network, Chaoyi Zhang, Yandong Zhao
Applied Mathematics & Information Sciences
This paper aims at the topological structure of traditional Ad Hoc network model, proposes an original multi-path network model which based on graph theory analysis. On this foundation, linear program theory is used to optimize this model, take analysis and solution. Then, the resulting conclusion is used to select the multi-path routing of practical Ad Hoc Networks, this paper takes the each link’s average packet delay of and node’s bandwidth as the optimization objective, to design and analyse the routing protocol. On this basis, this paper proposes a multi-path routing algorithm which suit for general Ad Hoc or wireless sensor …
The Properties Of Tree-Like Hierarchical Networks, Yingxin Zhang, Chao Chen, Jianmai Shi
The Properties Of Tree-Like Hierarchical Networks, Yingxin Zhang, Chao Chen, Jianmai Shi
Applied Mathematics & Information Sciences
Tree-like hierarchical structure is one of the key features in many real complex systems. To investigate its properties, a deterministic tree-like hierarchical network model is proposed. Next, the static properties of the tree-like hierarchical networks are discussed. The simulation and theoretical results prove that the artificial tree-like networks conformably possess small-world and scalefree properties well. Furthermore, the dynamic cascading failures in the tree-like hierarchical networks are investigated. A weighted tree-like cascading failure model is proposed, and the impacts of topological structure on the network robustness are investigated by a set of illustrative simulations.
Fpga Design For Pseudorandom Number Generator Based On Chaotic Iteration Used In Information Hiding Application, Jacques M. Bahi, Xiaole Fang, Christophe Guyeux, Laurent Larger
Fpga Design For Pseudorandom Number Generator Based On Chaotic Iteration Used In Information Hiding Application, Jacques M. Bahi, Xiaole Fang, Christophe Guyeux, Laurent Larger
Applied Mathematics & Information Sciences
Lots of researches indicate that the inefficient generation of random numbers is a significant bottleneck for information communication applications. Therefore, Field Programmable Gate Array (FPGA) is developed to process a scalable fixed-point method for random streams generation. In our previous researches, we have proposed a technique by applying some well-defined discrete chaotic iterations that satisfy the reputed Devaney’s definition of chaos, namely chaotic iterations (CI). We have formerly proven that the generator with CI can provide qualified chaotic random numbers. In this paper, this generator based on chaotic iterations is optimally redesigned for FPGA device. By doing so, the generation …
On The Periodic Auto–Oscillations Of An Electric Circuit With Periodic Imperfections On Its Variables, M. Teresa De Bustos, Miguel A. L?Pez, Raquel Mart?Nez
On The Periodic Auto–Oscillations Of An Electric Circuit With Periodic Imperfections On Its Variables, M. Teresa De Bustos, Miguel A. L?Pez, Raquel Mart?Nez
Applied Mathematics & Information Sciences
The aim of the present paper is to study the periodic auto–oscillations of an electric circuit with periodic imperfections on its variables composed by three condensers, one of them without charge, and two bobbins. We model this system by the Lagrangian approach using the morphology of the Hill problem and the main tool used for proving the results is the averaging theory of dynamical systems.
Analysis Of Compactly Supported Transformations For Landmark-Based Image Registration, Roberto Cavoretto, Alessandra De Rossi
Analysis Of Compactly Supported Transformations For Landmark-Based Image Registration, Roberto Cavoretto, Alessandra De Rossi
Applied Mathematics & Information Sciences
In this paper we consider landmark-based image registration using radial basis function interpolation schemes. More precisely, we analyze some landmark-based image transformations using compactly supported radial basis functions such as Wendland’s, Wu’s, and Gneiting’s functions. Comparisons of interpolation techniques are performed and numerical experiments show differences in accuracy and smoothness of them in some test cases. Finally, a real-life case with medical images is considered.
An End-User Tailorable Generic Framework For Privacy-Preserving Location-Based Mobile Applications, Dhiah El Diehn I. Abou-Tair, Mohamed Bourimi, Ricardo Tesoriero, Marcel Heupel, Marcel Heupel, Dogan Kesdogan
An End-User Tailorable Generic Framework For Privacy-Preserving Location-Based Mobile Applications, Dhiah El Diehn I. Abou-Tair, Mohamed Bourimi, Ricardo Tesoriero, Marcel Heupel, Marcel Heupel, Dogan Kesdogan
Applied Mathematics & Information Sciences
In this paper, we discuss the emerging need for supporting end-user tailorability and privacy with respect to collaborative location-based applications in mobile environments. We present a generic privacy-preserving framework for supporting such end-user tailorability on both user interface and server-side ends. The requirements were compiled from various use cases of collaborative location-based scenarios from various projects and related literature. The outcome results of this work demonstrates the feasibility of our proposed framework by means of an iOS based prototype applied to previous iAngle and iFishWatcher research projects. The significance of this prototype that it allows different communities to define their …
Cellular Automata For The Flow Simulations On The Earth Surface, Optimization Computation Process, Juraj Cirbus, Michal Podhoranyi
Cellular Automata For The Flow Simulations On The Earth Surface, Optimization Computation Process, Juraj Cirbus, Michal Podhoranyi
Applied Mathematics & Information Sciences
The spreading of water across terrain is not a simple and isolated process. The spread of water is a part of the more general water cycle. Many commercial software exist for water modelling, but their correct use requires a considerable knowledge of water modelling, and about the study area. Using the relatively simple principle of cellular automata (CA) it is possible to obtain results which compare well with real measurements. This article describes using a CA for simulating the spreading of liquid, using comparatively simple rules and conditions which include several factors affecting the spreading of water such as slope, …
Strichartz Estimates For Some 2d Water Wave Models, José R. Quintero, Alex M. Montes
Strichartz Estimates For Some 2d Water Wave Models, José R. Quintero, Alex M. Montes
Applied Mathematics & Information Sciences
In this paper we establish Strichartz type estimates associated with a class of semigroup operators in Rn, which for n = 2 correspond to some 2D water wave models.We also establish a nonlinear scattering result for solutions of the generalized Benney-Luke equation for higher order nonlinearity and small data initial in the energy space.