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A New Steganographic Method For Grayscale Image Using Graph Coloring Problem, Sidi Mohamed Douiri, Mohamed Boy Ould Medeni, Souad Elbernoussi, El Mamoun Souidi
A New Steganographic Method For Grayscale Image Using Graph Coloring Problem, Sidi Mohamed Douiri, Mohamed Boy Ould Medeni, Souad Elbernoussi, El Mamoun Souidi
Applied Mathematics & Information Sciences
Statistical steganalysis schemes detect the existence of secret information embedded by steganography. The χ 2 detection and Regular-Singular (RS)-attack methods are two well known statistical steganalysis schemes used against LSB (least significant bit) steganography. The embedded message length can be estimated accurately by these two steganalysis schemes. For secret communication, the resistance of steganography against steganalysis is very important for information security. To avoid the enemy’s attempts, the statistical features between stego-images and cover images should be as similar as possible for better resistance to steganalysis. To ensure the security against the RS and χ 2 analysis, we presents in …
New Bucket Managements In Iterative Improvement Partitioning Algorithms, Yourim Yoon, Yong-Hyuk Kim
New Bucket Managements In Iterative Improvement Partitioning Algorithms, Yourim Yoon, Yong-Hyuk Kim
Applied Mathematics & Information Sciences
In iterative improvement partitioning algorithms, tie-breaking in the choice of maximum-gain vertices has a great impact on the performance. We propose a new tie-breaking strategy in an iterative improvement algorithm for graph partitioning. The proposed method is simple but nevertheless performed better than other traditional techniques.
A Self-Guided Particle Swarm Optimization With Independent Dynamic Inertia Weights Setting On Each Particle, Huantong Geng, Yanhong Huang, Jun Gao, Haifeng Zhu
A Self-Guided Particle Swarm Optimization With Independent Dynamic Inertia Weights Setting On Each Particle, Huantong Geng, Yanhong Huang, Jun Gao, Haifeng Zhu
Applied Mathematics & Information Sciences
In the standard PSO algorithm, each particle in swarm has the same inertia weight settings and its values decrease from generation to generation, which can induce the decreasing of population diversity. As a result, it may fall into the local optimum. Besides, the decreasing of weights values is restricted by the maximum evolutionary generation, which has an influence on the convergence speed and search performance. In order to prevent the algorithm from falling into the local optimum early, reduce the influence of the maximum evolutional generation to the decline rate of weights, A Self-guided Particle Swarm Optimization Algorithm with Independent …
Stochastic Optimal Control Of Dc Pension Fund Under The Fractional Brownian Motion, Jianwei Gao
Stochastic Optimal Control Of Dc Pension Fund Under The Fractional Brownian Motion, Jianwei Gao
Applied Mathematics & Information Sciences
This paper considers that the goal of the fund manager is to minimize the expected utility loss function, and the noises involved with the dynamics of some wealth are fractional Brownian motions with short-ranged dependence. By applying Hamilton and Lagrange multiplier, the stochastic optimal control problem is converted into non-random optimization. Furthermore, based on deterministic optimal control principle, it obtains the explicit solution of the optimal strategies via moment equations. Finally, it presents a simulation to analyze the dynamic behaviour of the optimal portfolio strategy influenced by the orders of fractional Brownian motions.
Analytical Solution To The Roof Bending Deflection With Mixed Boundary Conditions Under Uniform Load, Shuren Wang, Zhongqiu Wang
Analytical Solution To The Roof Bending Deflection With Mixed Boundary Conditions Under Uniform Load, Shuren Wang, Zhongqiu Wang
Applied Mathematics & Information Sciences
Analytical solution to the roof bending deflection is the key to conduct the stability evaluation and risk prediction of the shallow mined-out areas. The engineering mechanics model of the roof was built through the generalization engineer model in practically shallow mined-out areas. Based on Reissner’s thick plate theory, the roof bending deflection with mixed boundary conditions under uniform load was analyzed by the method of reciprocal theorem. The function of roof bending deflection was achieved and the analytical solution was verified by the numerical solution. Besides, a comparative analysis was conducted for the different characteristics of roof bending deflection with …
Efficient Mining Differential Co-Expression Constant Row Bicluster In Real-Valued Gene Expression Datasets, Miao Wang, Xuequn Shang, Xiaoyuan Li, Zhanhuai Li, Wenbin Liu
Efficient Mining Differential Co-Expression Constant Row Bicluster In Real-Valued Gene Expression Datasets, Miao Wang, Xuequn Shang, Xiaoyuan Li, Zhanhuai Li, Wenbin Liu
Applied Mathematics & Information Sciences
Biclustering aims to mine a number of co-expressed genes under a set of experimental conditions in gene expression dataset. Recently, differential co-expression biclustering approach has been used to identify class-specific biclusters between two gene expres- sion datasets. However, it cannot handle differential co-expression constant row biclusters efficiently in real-valued datasets. In this paper, we propose an algorithm, DRCluster, to identify Differential co-expression constant Row biCluster in two real-valued gene expression datasets. Firstly, DRCluster infers the differential co-expressed genes from each pair of samples in two real-valued gene expression datasets, and constructs a differential weighted undirected sample-sample relational graph. Secondly, the …
A Logarithmic Slow-Start Algorithm Of Tcp Vegas In Ip Networks, Kai Mao
A Logarithmic Slow-Start Algorithm Of Tcp Vegas In Ip Networks, Kai Mao
Applied Mathematics & Information Sciences
In numerous TCP congestion control algorithms, TCP Vegas avoids congestion on its own initiative. However, its quick ending of slow-start and unsmooth growing cause the congest in window designing which makes it too small and bandwidth utilization decline too rapidly, even affecting network efficiency and reducing throughput ...etc. Targeted at the deficiencies, we propose a kind of Logarithmic Slow-Start Algorithm of TCP Vegas (LSSA-TCP Vegas) to conduct the dynamics of congestion window. We analyze the stability condition from the theory via the Nyquist stability criterion and study the issue such as convergence of the algorithm and configuration parameters. Our goal …
A Thread Pool Scheduling Optimization Method Of Real-Time System, Yi Liu
A Thread Pool Scheduling Optimization Method Of Real-Time System, Yi Liu
Applied Mathematics & Information Sciences
To deal with concurrent requests, thread pool technology is wildly used in multi-task real-time systems whose chief demand is timeout avoidance. In order to reduce requesting timeout ratio, least square support vector machine(LS-SVM) algorithm whose parameters optimization was based on hybrid quantum-behaved particle swarm optimization(HQPSO) was applied to estimate the execution time of requests. Also, a scheduling priority algorithm of thread pool was designed based on the estimation results. In performance test, a node of wireless sensor network is implemented to test the requesting timeout ratio of HQPSO LS-SVM based on thread pool and other ones in different states. Test …
Ga Optimization Model For Time/Cost Trade-Off Problem In Repetitive Projects Considering Resource Continuity, Lihui Zhang, Xin Zou, Zhixiong Su
Ga Optimization Model For Time/Cost Trade-Off Problem In Repetitive Projects Considering Resource Continuity, Lihui Zhang, Xin Zou, Zhixiong Su
Applied Mathematics & Information Sciences
Discrete time/cost trade-off problem (DTCTP) is very common in project scheduling. In repetitive projects, some activities are required to maintain resource continuity. This paper proposes an optimization model which is based on the genetic algorithm for DTCTP in repetitive projects considering different requirements for resource continuity of activities. First, two kinds of resource continuity are defined, namely, the constraint of work continuity and resource consistency. Impact of resource continuity on time and cost is analyzed. Then the model which includes five modules is described in details. The model can provide a set of Pareto near optimal solutions to represent the …
Intelligent Leveling Control Design Of The Same Orientation Pursuit Strategy For Suspended Access Platform, Yuhou Wu, Jia Sun, Ke Zhang, Feng Qiao
Intelligent Leveling Control Design Of The Same Orientation Pursuit Strategy For Suspended Access Platform, Yuhou Wu, Jia Sun, Ke Zhang, Feng Qiao
Applied Mathematics & Information Sciences
A new intelligent levelling system was applied to the suspended access platform (SAP), and a Same Orientation Pursuit Strategy (SOPS) was designed to operate it. Based on SOPS matching test and using the concept of sliding mode control design and Lyapunov synthesis approach, we propose an adaptive fuzzy sliding mode control (AFSMC) scheme for the class of nonlinear systems. This system is proved to be the superior concept in a safer and more intelligent automatic control. Fuzzy controller (FC) and dual-axis inclination sensor are employed for the control system, which automatically changes the motion of lifting equipment according to the …
Studies On Information States Measurement For Modeling Design, Yi Gan, Junlei Wang
Studies On Information States Measurement For Modeling Design, Yi Gan, Junlei Wang
Applied Mathematics & Information Sciences
Three kinds of information states in the product information transfer process were introduced, which come from Top Basic Skeleton to Sub-basic Skeleton or parts layer-by-layer. In the process, the product has three information states, and the structures of the process were serial and parallel. In terms of the structures of information transfer and variant designs, the information distances among the product information states were measured by calculating transition probability. This method provides the foundation of manufacturing informatics for design.
Assessing The Effect Of Chassis Torsional Stiffness On Tractor Semi-Trailer Rollover, Shuwen Zhou, Siqi Zhang
Assessing The Effect Of Chassis Torsional Stiffness On Tractor Semi-Trailer Rollover, Shuwen Zhou, Siqi Zhang
Applied Mathematics & Information Sciences
The semi-trailer chassis was usually treated as rigid body in many existing literature, which would lead to larger deviation from actual situation. A rigid semi-trailer chassis model was built and flexiblized based on the modal test results in this paper. The tractor semi-trailer with flexible chassis was utilized to simulate the rollover scenarios on high speed obstacle avoidance under emergency based on virtual prototyping. The simulation results were compared to the simplified 5-DOF, 3-wheel linear vehicle model. It was revealed that the wheels on flexible chassis are more inclined to be got pushed up and away from the road, which …
Resource Constrained Time-Cost Trade-Off Problem And Its Genetic Algorithm Solution, Yixiong Feng, Xiaohua Lin, Jianrong Tan
Resource Constrained Time-Cost Trade-Off Problem And Its Genetic Algorithm Solution, Yixiong Feng, Xiaohua Lin, Jianrong Tan
Applied Mathematics & Information Sciences
As the fact that renewable resources were used in majority projects in modern enterprises, the classic time-cost trade-off problem was extended and a new resource-constrained time-cost trade-off problem based on random chance constrained programming was proposed, where the renewable resources were emphasized. The project cost was calculated based on renewable resources. Each activity could be implemented with compressed manner in which the renewable resources were devoted to shorten the activity duration. According to the characteristics of the model, an genetic algorithm based on random simulation technique was presented to solve this model. Finally, the practical example verified the validity of …
Analysis Of Predicting The Diversity Regional Logistics Demand Based On Svr: The Case Of Sichuan In China, Si Chen, Mi Gan, Yinying Tang
Analysis Of Predicting The Diversity Regional Logistics Demand Based On Svr: The Case Of Sichuan In China, Si Chen, Mi Gan, Yinying Tang
Applied Mathematics & Information Sciences
There has been worldwide concern for the regional logistic planning, and the prediction of logistic demand is the basic and important parts in the logistic planning. And in this paper the prediction of logistic demand has been divided into three parts, which are agricultural logistic demand, manufacturing logistic demand and business logistic demand. In this way the prediction would show the different influence factors of industry constructions in different area. In regional logistic demand prediction, the method of Support Vector Regression (SVR) is considered as a useful technique for data prediction. And the analyses of different industries are built up …
The Fuzzy-Ahp Evaluation Method For Unmanned Ground Vehicles, Yang Sun, Gang Tao, Guangming Xiong, Huiyan Chen
The Fuzzy-Ahp Evaluation Method For Unmanned Ground Vehicles, Yang Sun, Gang Tao, Guangming Xiong, Huiyan Chen
Applied Mathematics & Information Sciences
Task driven approach is widely used as an evaluation method for unmanned ground vehicles, however this approach may lead to many teams using the conservative approach to complete the task. Although the competition task can be completed, it has deviated from the goal of technological development. The proposed fuzzy comprehensive evaluation method combined with AHP (fuzzy-AHP) was validated in comprehensive evaluation of unmanned ground vehicles. The fuzzy-AHP evaluation method was successfully applied to evaluate the unmanned ground vehicle in “Future Challenge 2011” (FC’ 2011). To evaluate unmanned ground vehicles is a problem of multilevel comprehensive evaluation. It should be divided …
Two Novel And Secure Quantum Andos Schemes, Wei Yang, Liusheng Huang, Miaomiao Tian
Two Novel And Secure Quantum Andos Schemes, Wei Yang, Liusheng Huang, Miaomiao Tian
Applied Mathematics & Information Sciences
A vendor has several secrets which he regards as of equal worth and importance. He is willing to sell any of these secrets to a buyer. The bargain is said to be secure when the following two conditions are satisfied: 1) the buyer can only obtain one secret if he pays for only one secret, and 2) the vendor will not be able to find out which secret the buyer picked. This cryptographic problem is customarily called all-or-nothing disclosure of secrets (ANDOS). Previous ANDOS schemes have a few defects: neither the number of the secrets is restricted within narrow limits, …
Public Bicycle Traffic Flow Prediction Based On A Hybrid Model, Haitao Xu, Jing Ying, Hao Wu, Fei Lin
Public Bicycle Traffic Flow Prediction Based On A Hybrid Model, Haitao Xu, Jing Ying, Hao Wu, Fei Lin
Applied Mathematics & Information Sciences
In China, Hangzhou is the first city to set up the Public Bicycle System. Now, the system has been the largest bike sharing program in the world. The software of Hangzhou Public Bicycle System was developed by our team. Accurate and precise prediction of public bicycle traffic flow is important in traffic planning, design, operations, etc. According to the highly complexity, nonlinearity and uncertainty of traffic flow, a single prediction model is difficult to ensure the prediction accuracy and efficiency. To overcome the lack of the single prediction method, this paper uses a hybrid model that combining clustering with support …
Automatic Clustering Of Social Tag Using Community Detection, Weisen Pan, Shizhan Chen, Zhiyong Feng
Automatic Clustering Of Social Tag Using Community Detection, Weisen Pan, Shizhan Chen, Zhiyong Feng
Applied Mathematics & Information Sciences
Automatically clustering social tags into semantic communities would greatly boost the ability of Web services search engines to retrieve the most relevant ones at the same time improve the accuracy of tag-based service recommendation. In this paper, we first investigate the different collaborative intention between co-occurring tags in Seekda as well as their dynamical aspects. Inspired by the relationships between co-occurring tags, we designed the social tag network. By analyzing the networks constructed, we show that the social tag network have scale free properties. In order to identify densely connected semantic communities, we then introduce a novel graph-based clustering algorithm …
An Optimization Algorithm Of Variable Allocation Based On Block Architecture, Xu Chao, He Yan-Xiang, Chen Yong, Wu Wei, Zeng Xiao-Ling
An Optimization Algorithm Of Variable Allocation Based On Block Architecture, Xu Chao, He Yan-Xiang, Chen Yong, Wu Wei, Zeng Xiao-Ling
Applied Mathematics & Information Sciences
In this paper, an optimization algorithm of selection block instruction (heuristic allocation algorithm) based on 8-bit mi- croprocessor of block memory architecture as experiment platform is proposed to solve the problem of variable allocation and reduce the number of selection instructions. First the RAM space allocation is designed in an optimizational way, then an heuristic allocation algorithm of variable is designed, finally the position inserted by selection block instructions is optimized. This method can reduce the number of selection block instructions effectively and produce a good effect in code compression. To verify the correctness and efficiency of the above algorithm, …
The Upper Preferred Multiple Directed Acyclic Graph Support Vector Machines For Classification, Kan Li, Hang Xu, Wenxiong Huang, Zhonghua Huang
The Upper Preferred Multiple Directed Acyclic Graph Support Vector Machines For Classification, Kan Li, Hang Xu, Wenxiong Huang, Zhonghua Huang
Applied Mathematics & Information Sciences
The current classification algorithms have weak fault-tolerance. In order to solve the problem, a multiple support vector machines method, called Upper preferred Multiple Directed Acyclic Graph Support Vector Machines (UMDAG-SVMs), is proposed. Firstly, we present least squares projection twin support vector machine (LSPTSVM) with confidence-degree for generating binary classifiers. It uses the idea that “when the confidence-degree outputted from the node in the directed graph, is below the threshold, the decision-making process will go on along with the two branches of the node at the same time.”, which strengthens the algorithm’s fault-tolerance. In order to select the parameters of the …
A Novel Nonlinear Control Law With Trajectory Tracking Capability For Nonholonomic Mobile Robots: Closed-Form Solution Design, Yung-Hsiang Chen, Tzuu-Hseng S. Li, Yung-Yue Chen
A Novel Nonlinear Control Law With Trajectory Tracking Capability For Nonholonomic Mobile Robots: Closed-Form Solution Design, Yung-Hsiang Chen, Tzuu-Hseng S. Li, Yung-Yue Chen
Applied Mathematics & Information Sciences
A novel nonlinear robust trajectory tracking control law for nonholonomic mobile robot is presented in this paper. This approach can be applied to generate trajectory tracking control commands on nonholonomic mobile robot movement. The design objective is to specify one nonlinear robust control law that satisfies the H2 performance, for the nonlinear trajectory tracking control of nonholonomic mobile robot. In general, it is hard to obtain the closed-form solution from this nonlinear trajectory-tracking problem. Fortunately, because of the skew symmetric property of the trajectory tracking system of the nonholonomic mobile robot and adequate choice of state variable transformation, the H2 …
A Fast Regular Expressions Matching Algorithm For Nids, Meng-Meng Zhang, Yan Sun, Jing-Zhong Wang
A Fast Regular Expressions Matching Algorithm For Nids, Meng-Meng Zhang, Yan Sun, Jing-Zhong Wang
Applied Mathematics & Information Sciences
In this paper, we propose a new algorithm to accelerate the searching speed in network intrusion detection system (NIDS) and we implement our algorithm in Snort, a popular open-source intrusion detection system. The algorithm is based on the fact that normal data stream rarely matches any virus signature and different packets need to check different keys. The algorithm does not need preprocessing and can check multiple characters in parallel. Experimental results show that our implementation is faster than original NFA/DFA based algorithms to deal with the same real packet traces while consuming an order of magnitude less memory.
Research On Vehicle Swing Model Based On Road Structure: Driving Safety And Comfort, Lunhui Xu, Qiang Luo, Yanguo Huang
Research On Vehicle Swing Model Based On Road Structure: Driving Safety And Comfort, Lunhui Xu, Qiang Luo, Yanguo Huang
Applied Mathematics & Information Sciences
The vehicle swing is a major factor on driving safety and comfort, while the acceleration noise is exactly a description of vehicle swing. Thus, acceleration noise can be a good evaluation indicator of driving safety and comfort. First, the vehicle forces are analyzed in three dimensions, and six vehicle swing models (VSMs) are established based on different road structure by combining acceleration noise theory. Then, the time discrete method is used to further discretize these models for easy calculation and application in practice projects. Finally, a large number of simulation experiments are performed with appropriate roads. The simulation results show …
An Improved Cuckoo Search Algorithm For Solving Planar Graph Coloring Problem, Yongquan Zhou, Hongqing Zheng, Qifang Luo, Jinzhao Wu
An Improved Cuckoo Search Algorithm For Solving Planar Graph Coloring Problem, Yongquan Zhou, Hongqing Zheng, Qifang Luo, Jinzhao Wu
Applied Mathematics & Information Sciences
In this paper, we proposed an improved cuckoo search optimization (ICS) algorithm for solving planar graph coloring problem. The improved cuckoo search optimization algorithm is consisting of the walking one strategy, swap and inversion strategy and greedy strategy. The proposed improved cuckoo search optimization algorithm can solve the planar graph coloring problem using four-colors more efficiently and accurately. The experimental results show that we proposed improved cuckoo search optimization algorithm can get smaller average iterations and higher correction coloring rate.
Cppm: A Comprehensive Power-Aware Processor Manager For A Multicore System, Slo-Li Chu, Shiue-Ru Chen, Sheng-Fu Weng
Cppm: A Comprehensive Power-Aware Processor Manager For A Multicore System, Slo-Li Chu, Shiue-Ru Chen, Sheng-Fu Weng
Applied Mathematics & Information Sciences
The growing functionality of mobile devices explains increasing system performance requirements and the subsequent wide adoption of multicore processors. As mobile systems are battery powered, battery life largely limits these high performing multicore mobile devices. Developing an efficient power-aware processor manager for mobile multicore systems has received considerable attention. The conventional processor management system of embedded systems e.g., the Linux kernel scheduler incorporates an automatic scheme to control peripheral operations and processor frequency. However, this mechanism fails to consider user requirements, task loading, and operating status of processors in the multicore system to satisfy operating requirements. Therefore, this work presents …
Novel Memory Access Scheduling Algorithms For A Surveillance System, Slo-Li Chu, Min-Jen Lo
Novel Memory Access Scheduling Algorithms For A Surveillance System, Slo-Li Chu, Min-Jen Lo
Applied Mathematics & Information Sciences
The continuously growing functionality of digital video surveillance make the surveillance system integrate more streaming processors for serving more cameras to recoding their raw video streaming data. But the memory subsystem can not provide necessary bandwidth and become the bottleneck of whole system. Therein how to improve the performance of the accessing memory will become a major challenge of designing a modern surveillance system. This study proposes novel memory accessing scheduling algorithms, with a corresponding memory controller, called Self-Adjustable Memory System (SAMS), for a multiple-channel streaming systemon- a-chip. By integrating Access Buffers, Frontend Scheduler, Reorder Block, Backend Scheduler, and two …
Automatic Removal Of Ocular Artifact From Eeg With Dwt And Ica Method, Mingai Li, Yan Cui, Jinfu Yang
Automatic Removal Of Ocular Artifact From Eeg With Dwt And Ica Method, Mingai Li, Yan Cui, Jinfu Yang
Applied Mathematics & Information Sciences
Ocular artifact (OA) is one of the main interferences in electroencephalogram (EEG) recordings. It appears as a big pulse and has a strong impact to EEG signals. To overcome OA interference in EEG data, a novel automatic method of OA removal, denoted as DWICA, was proposed in this paper. In DWICA, the discrete wavelet transform (DWT) is applied to every recorded signal to obtain multiple scale coefficients. Then the independent component analysis (ICA) algorithm is used, and its input is the coefficients connected in series. Thus the independent components are acquired quickly in wavelet domain. The criterion of angle cosine …
On The Pac-Bayes Bound Calculation Based On Reproducing Kernel Hilbert Space, Li Tang, Hua Yu, Xiu-Jun Gong
On The Pac-Bayes Bound Calculation Based On Reproducing Kernel Hilbert Space, Li Tang, Hua Yu, Xiu-Jun Gong
Applied Mathematics & Information Sciences
PAC-Bayes risk bound combining Bayesian theory and structure risk minimization for stochastic classifiers has been considered as a framework for deriving some of the tightest generalization bounds. A major issue for calculating the bound is the unknown prior and posterior distributions of the concept space. In this paper, we formulated the concept space as Reproducing Kernel Hilbert Space (RKHS) using the kernel method. We further demonstrated that the RKHS can be constructed using the linear combination of kernels, and the support vectors and their corresponding weights of SVM outputs describe the complexity of concept space. Therefore the calculation of PAC-Bayes …
Knowledge Entropy And Feature Selection In Incomplete Decision Systems, Jiucheng Xu, Lin Sun
Knowledge Entropy And Feature Selection In Incomplete Decision Systems, Jiucheng Xu, Lin Sun
Applied Mathematics & Information Sciences
In this paper, concepts of knowledge entropy and knowledge entropy-based uncertainty measures are given in incomplete information systems and decision systems, and some important properties of them are investigated. From these properties, it can be shown that these measures provide important approaches to measure the uncertainty ability of different knowledge in incomplete decision systems. Then the relationships among these knowledge entropies proposed are discussed as well. A new definition of reduct is proposed and a heuristic algorithm with low computational complexity is constructed to improve computational efficiency of feature selection in incomplete decision systems. Experimental results demonstrate that our algorithm …
Influence Of Working Lining Parameters On Temperature And Stress Field Of Ladle, Gongfa Li, Et Al
Influence Of Working Lining Parameters On Temperature And Stress Field Of Ladle, Gongfa Li, Et Al
Applied Mathematics & Information Sciences
Ladle is an important apparatus in metallurgical industry and takes charge of transferring molten steel from a converter to procedure of continuous casting or ingot casting. It not only improves production efficiency, product quality and production flexibility massively, but also decreases energy and material consumption. The ladle lifetime influences economic benefit of iron and steel enterprises directly. Distribution of its temperature field and stress field has a vital effect on the lifetime. Thermal expansion stress is one of important reasons for damage as ladles operate under the condition of high temperature and overload. Under high temperature, thermal expansion is generated …