Based on the general solutions of the governing equation for linear buckling of Timoshenko beam under axial force, exact shape functions for transverse shear deformable beam are constructed and corresponding exact element stifiness matrix and geometrical stifiness matrix are formulated for stability analysis of frame structures. Two new algorithms are developed for the determination of a given number of critical load factors or all critical load factors in a given range. In addition to the conventional eigenvalue extraction method, the well-known Wittrick-Williams method is employed in both algorithms. Numerical examples are presented to demonstrate the efiectiveness of the proposed element and algorithms.
{"title":"Exact Beam Element and Algorithms for Stability Analysis of Frame Structures Including Transverse Shear Deformation","authors":"Wenxiong Li, Haitao Ma, Taicong Chen","doi":"10.12733/JICS20105674","DOIUrl":"https://doi.org/10.12733/JICS20105674","url":null,"abstract":"Based on the general solutions of the governing equation for linear buckling of Timoshenko beam under axial force, exact shape functions for transverse shear deformable beam are constructed and corresponding exact element stifiness matrix and geometrical stifiness matrix are formulated for stability analysis of frame structures. Two new algorithms are developed for the determination of a given number of critical load factors or all critical load factors in a given range. In addition to the conventional eigenvalue extraction method, the well-known Wittrick-Williams method is employed in both algorithms. Numerical examples are presented to demonstrate the efiectiveness of the proposed element and algorithms.","PeriodicalId":213716,"journal":{"name":"The Journal of Information and Computational Science","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114683879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cost-sensitive learning is an important issue in both data mining and machine learning. Most existing research works focus on decision systems where test-costs are additive. However, in some applications there is a common-cost within a group of tests. In this paper, we design an attribute reduction algorithm with a heuristic function and a parameter adjusting scheme to deal with this situation. The heuristic function has two parameters serving as the reward and the penalty exponent, respectively. The parameter adjusting scheme is based on the competition approach. Experimental results on four UCI (University of California-Irvine) datasets indicate that the algorithm obtains optimal reducts in most cases.
成本敏感学习是数据挖掘和机器学习中的一个重要问题。大多数现有的研究工作都集中在测试成本是附加的决策系统上。然而，在某些应用程序中，在一组测试中存在共同的成本。本文设计了一种带有启发式函数的属性约简算法和参数调整方案来处理这种情况。启发式函数有两个参数，分别作为奖励指数和惩罚指数。参数调整方案基于竞争法。在四个UCI (University of California-Irvine)数据集上的实验结果表明，该算法在大多数情况下获得了最优约简。
{"title":"A Heuristic Algorithm to Attribute Reduction with Simple Common-cost","authors":"Ji Dong, Yu Fang, F. Min, Zhong-Hui Liu","doi":"10.12733/JICS20105758","DOIUrl":"https://doi.org/10.12733/JICS20105758","url":null,"abstract":"Cost-sensitive learning is an important issue in both data mining and machine learning. Most existing research works focus on decision systems where test-costs are additive. However, in some applications there is a common-cost within a group of tests. In this paper, we design an attribute reduction algorithm with a heuristic function and a parameter adjusting scheme to deal with this situation. The heuristic function has two parameters serving as the reward and the penalty exponent, respectively. The parameter adjusting scheme is based on the competition approach. Experimental results on four UCI (University of California-Irvine) datasets indicate that the algorithm obtains optimal reducts in most cases.","PeriodicalId":213716,"journal":{"name":"The Journal of Information and Computational Science","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132348848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The paper presented a mesh-free method to assess ship structures employing Daubechies Wavelet scaling function to construct the fleld approximation function of the ship structures. Firstly, the basis function is employed as Daubechies wavelet basis which is compactly supported and normal function, and the approximation function of the 2D ship structures is obtained by the tensor products of the wavelet scaling function. The paper proposed an incremental method to solve the approximation mesh-free fleld function of the ship structures. Numerical examples show the solutions are good agreement between FEM-ANSYS and the proposed method, which verifles the validity of the presented method for stress analysis of the ship structures.
{"title":"A Mesh-free Analysis of the Ship Structures Based on Daubechies Wavelet Basis Theory","authors":"Jianping Chen, Wenyong Tang, Man-ping Xu","doi":"10.12733/JICS20105581","DOIUrl":"https://doi.org/10.12733/JICS20105581","url":null,"abstract":"The paper presented a mesh-free method to assess ship structures employing Daubechies Wavelet scaling function to construct the fleld approximation function of the ship structures. Firstly, the basis function is employed as Daubechies wavelet basis which is compactly supported and normal function, and the approximation function of the 2D ship structures is obtained by the tensor products of the wavelet scaling function. The paper proposed an incremental method to solve the approximation mesh-free fleld function of the ship structures. Numerical examples show the solutions are good agreement between FEM-ANSYS and the proposed method, which verifles the validity of the presented method for stress analysis of the ship structures.","PeriodicalId":213716,"journal":{"name":"The Journal of Information and Computational Science","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130339552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Defense spending should flt for economic development and social afiord ability, thus study on the equilibrium relationship between defense spending and economic development is very important. This paper applies functional data clustering algorithm to categorize the countries by defense burden. It excludes interference of unexpected factors, transforms discrete data to continuous data, and flnally gets two groups of countries with higher and lower defense burden respectively. According to the clustering results, through panel data model, it explores the relationship between defense expenditure and economic development of each category. Results show that using functional data clustering algorithm, we can get difierent cluster results from traditional classiflcation. Each category includes both developing and developed countries. In addition, there exists long-term stable equilibrium relationship between defense expenditure and GDP in each class, but defense expenditure difierently impacts on economic growth in difierent countries.
{"title":"Empirical Study on Relationship between Defense Expenditure and Economic Development Based on Functional Data Cluster Algorithm","authors":"Liming Zhao, Jiayue Liu","doi":"10.12733/JICS20105583","DOIUrl":"https://doi.org/10.12733/JICS20105583","url":null,"abstract":"Defense spending should flt for economic development and social afiord ability, thus study on the equilibrium relationship between defense spending and economic development is very important. This paper applies functional data clustering algorithm to categorize the countries by defense burden. It excludes interference of unexpected factors, transforms discrete data to continuous data, and flnally gets two groups of countries with higher and lower defense burden respectively. According to the clustering results, through panel data model, it explores the relationship between defense expenditure and economic development of each category. Results show that using functional data clustering algorithm, we can get difierent cluster results from traditional classiflcation. Each category includes both developing and developed countries. In addition, there exists long-term stable equilibrium relationship between defense expenditure and GDP in each class, but defense expenditure difierently impacts on economic growth in difierent countries.","PeriodicalId":213716,"journal":{"name":"The Journal of Information and Computational Science","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125720093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, a distributed inter-network power control scheme for WBAN called D-NCG is proposed which aims at solving the interference problem among WBANs. The proposed D-NCG power control algorithm not only realizes the fairness of WBAN users, but also reduces the interference between networks which is based on non-cooperative game and through rationally designing the cost function and the utility function parameters. The existence and uniqueness of the Nash equilibrium in D-NCG is proved. Simulation results show that higher priority user’s throughput is larger and it ensures the effectiveness of communication with larger sending power. But with the increase of cost factor c, the final throughput does not reduce, where a revelation can be obtained: when the number of WBAN users is small, throughput can be guaranteed by appropriately increasing the value of c in the cost function, which also leads the degradation of the sending power.
{"title":"Distributed Inter-network Power Control Scheme in Wireless Body Area Network ⋆","authors":"Changbiao Xu, Li Zhang, Yongdan Yang","doi":"10.12733/JICS20105603","DOIUrl":"https://doi.org/10.12733/JICS20105603","url":null,"abstract":"In this paper, a distributed inter-network power control scheme for WBAN called D-NCG is proposed which aims at solving the interference problem among WBANs. The proposed D-NCG power control algorithm not only realizes the fairness of WBAN users, but also reduces the interference between networks which is based on non-cooperative game and through rationally designing the cost function and the utility function parameters. The existence and uniqueness of the Nash equilibrium in D-NCG is proved. Simulation results show that higher priority user’s throughput is larger and it ensures the effectiveness of communication with larger sending power. But with the increase of cost factor c, the final throughput does not reduce, where a revelation can be obtained: when the number of WBAN users is small, throughput can be guaranteed by appropriately increasing the value of c in the cost function, which also leads the degradation of the sending power.","PeriodicalId":213716,"journal":{"name":"The Journal of Information and Computational Science","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127918924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aiming at the characteristics of Alternative Direction Implicit (ADI) scheme that is used in the discretization of the governing equations of most ocean models, a hybrid parallel tridiagonal linear system algorithm, based on the Parallel Diagonal Dominant (PDD) and the Parallel Cyclic Reduction (PCR) algorithm, is developed in this paper. The main concept of the hybrid parallel algorithm is that the processes in the parallel system are divided into groups and the PDD algorithm is used to implement parallelization between groups. In each group, the PCR is used to implement the parallelization instead of PDD. By doing so, parallel efficient and computational accuracy could be obtained in the same time. To examine the algorithm of the hybrid parallel efficiency, a Global Reduced Gravity Ocean model (GRGO) is paralyzed, and the results show that this hybrid parallel algorithm can give us a better accuracy and higher efficiency compared to that using the traditional domain decomposition method.
{"title":"A Hybrid Parallel Algorithm to Solve Tridiagonal System of Ocean Model","authors":"X. Fu, Hongping Li","doi":"10.12733/JICS20105613","DOIUrl":"https://doi.org/10.12733/JICS20105613","url":null,"abstract":"Aiming at the characteristics of Alternative Direction Implicit (ADI) scheme that is used in the discretization of the governing equations of most ocean models, a hybrid parallel tridiagonal linear system algorithm, based on the Parallel Diagonal Dominant (PDD) and the Parallel Cyclic Reduction (PCR) algorithm, is developed in this paper. The main concept of the hybrid parallel algorithm is that the processes in the parallel system are divided into groups and the PDD algorithm is used to implement parallelization between groups. In each group, the PCR is used to implement the parallelization instead of PDD. By doing so, parallel efficient and computational accuracy could be obtained in the same time. To examine the algorithm of the hybrid parallel efficiency, a Global Reduced Gravity Ocean model (GRGO) is paralyzed, and the results show that this hybrid parallel algorithm can give us a better accuracy and higher efficiency compared to that using the traditional domain decomposition method.","PeriodicalId":213716,"journal":{"name":"The Journal of Information and Computational Science","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134313997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, we investigate the problem of image de-noising. Here, the theory of morphological component analysis is employed to separate the image to be de-noised into some layers with different morphological components. In this paper, images are decomposed into two parts: smooth and textural parts. As noise only exists in the textural parts, we utilize bilateral filter to smooth textural parts. Finally, the smooth parts and the filtered textual parts are combined to get the image free of noise. The algorithm is tested experimentally, and the results show that it is superior to other state-of-art algorithms.
{"title":"Image De-nosing with Morphological Component Analysis ⋆","authors":"Chengjia Yang, Xiong-fei Li","doi":"10.12733/JICS20105630","DOIUrl":"https://doi.org/10.12733/JICS20105630","url":null,"abstract":"In this paper, we investigate the problem of image de-noising. Here, the theory of morphological component analysis is employed to separate the image to be de-noised into some layers with different morphological components. In this paper, images are decomposed into two parts: smooth and textural parts. As noise only exists in the textural parts, we utilize bilateral filter to smooth textural parts. Finally, the smooth parts and the filtered textual parts are combined to get the image free of noise. The algorithm is tested experimentally, and the results show that it is superior to other state-of-art algorithms.","PeriodicalId":213716,"journal":{"name":"The Journal of Information and Computational Science","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130193993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Due to the noise-sensitive characteristic of Kalman filter, the accuracy of state estimation is dramatically decreased and the divergence of the filter is even caused. In this paper, a new adaptive Kalman filter, namely interval Type-2 Fuzzy Logic-based Adaptive Kalman Filter (T2FL-AKF), is designed to overcome the problem. Based on the ratio of the actual value of the residual covariance to its theoretical value, the proposed T2FL-AKF online adjusts the measurement noise covariance by utilizing an interval type-2 fuzzy logic. Then this adjustment changes the value of the filter gain such that the state estimate is corrected. Extensive simulations were performed to validate the effectiveness of the proposed T2FLAKF in terms of estimation accuracy. Experimental results have shown that the average variance of the proposed T2FL-AKF can be up to 10:3% lower than that of the benchmarking schemes SKF and T1FL-AKF. At last, a suggestion of future research is also mentioned.
{"title":"A New Adaptive Kalman Filter Based on Interval Type-2 Fuzzy Logic System ⋆","authors":"Jing Hua, Hua Zhang, Jizhong Liu","doi":"10.12733/JICS20105563","DOIUrl":"https://doi.org/10.12733/JICS20105563","url":null,"abstract":"Due to the noise-sensitive characteristic of Kalman filter, the accuracy of state estimation is dramatically decreased and the divergence of the filter is even caused. In this paper, a new adaptive Kalman filter, namely interval Type-2 Fuzzy Logic-based Adaptive Kalman Filter (T2FL-AKF), is designed to overcome the problem. Based on the ratio of the actual value of the residual covariance to its theoretical value, the proposed T2FL-AKF online adjusts the measurement noise covariance by utilizing an interval type-2 fuzzy logic. Then this adjustment changes the value of the filter gain such that the state estimate is corrected. Extensive simulations were performed to validate the effectiveness of the proposed T2FLAKF in terms of estimation accuracy. Experimental results have shown that the average variance of the proposed T2FL-AKF can be up to 10:3% lower than that of the benchmarking schemes SKF and T1FL-AKF. At last, a suggestion of future research is also mentioned.","PeriodicalId":213716,"journal":{"name":"The Journal of Information and Computational Science","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124201034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Logistic model has a simple and apparent reality in mathematics, it can well characterize the feedback mechanism of energy consumption and economic growth. Based on the Logistic model, this paper proposes a new method for solving Logistic. With China’s total energy consumption in 2000-2013 as raw data, it uses Logistic model to predict our country’s total energy consumption. And then, it improves the predicted results with Markov chain. The results show that: the average relative error is 4.71 percent if it uses Logistic model, while the average relative error is only 2.45 percent if it is improved. The prediction accuracy is improved of 2.26 percent. Therefore, this paper uses Logistic-Markov method to predict energy consumption of 2014-2020. Finally, it analyzes energy consumption trends by predicting, and proposes the corresponding energy conservation measures.
{"title":"Forecasting on Energy Consumption in China Based on Logistic-Markov ⋆","authors":"Jinying Li, Jiajia Fan","doi":"10.12733/JICS20105572","DOIUrl":"https://doi.org/10.12733/JICS20105572","url":null,"abstract":"Logistic model has a simple and apparent reality in mathematics, it can well characterize the feedback mechanism of energy consumption and economic growth. Based on the Logistic model, this paper proposes a new method for solving Logistic. With China’s total energy consumption in 2000-2013 as raw data, it uses Logistic model to predict our country’s total energy consumption. And then, it improves the predicted results with Markov chain. The results show that: the average relative error is 4.71 percent if it uses Logistic model, while the average relative error is only 2.45 percent if it is improved. The prediction accuracy is improved of 2.26 percent. Therefore, this paper uses Logistic-Markov method to predict energy consumption of 2014-2020. Finally, it analyzes energy consumption trends by predicting, and proposes the corresponding energy conservation measures.","PeriodicalId":213716,"journal":{"name":"The Journal of Information and Computational Science","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126297904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhenzhen Li, Meimin Wu, Jinhui Duan, Hailong Zhang, Xiaoxu He
Three-dimensional (3D) video systems based on Depth-image-based Rendering (DIBR) include both texture videos and corresponding depth maps. The joint coding of texture and depth video is important for the 3D video data. In this paper, a joint bit allocation and rate control method is proposed for 3D video coding. First, the characteristics of bit allocation and rate control are investigated. Second, a generic exponential distortion model is derived for joint video coding. Finally, based on the distortion model, the joint bit allocation problem is formulated as a constrained optimization problem and solved through the Lagrangian multiplier method. The system performance has been evaluated with several 3D video sequences. Experimental results demonstrate that the proposed method achieves excellent rate-distortion performance.
{"title":"Joint Bit Allocation and Rate Control for Texture and Depth Video Coding","authors":"Zhenzhen Li, Meimin Wu, Jinhui Duan, Hailong Zhang, Xiaoxu He","doi":"10.12733/JICS20105645","DOIUrl":"https://doi.org/10.12733/JICS20105645","url":null,"abstract":"Three-dimensional (3D) video systems based on Depth-image-based Rendering (DIBR) include both texture videos and corresponding depth maps. The joint coding of texture and depth video is important for the 3D video data. In this paper, a joint bit allocation and rate control method is proposed for 3D video coding. First, the characteristics of bit allocation and rate control are investigated. Second, a generic exponential distortion model is derived for joint video coding. Finally, based on the distortion model, the joint bit allocation problem is formulated as a constrained optimization problem and solved through the Lagrangian multiplier method. The system performance has been evaluated with several 3D video sequences. Experimental results demonstrate that the proposed method achieves excellent rate-distortion performance.","PeriodicalId":213716,"journal":{"name":"The Journal of Information and Computational Science","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126593813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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