WLAN mdoor location method based on artificial neural network （ANN） is analyzed. A three layer feed-forward ANN model offers the benefits of reducing time cost of the layout of an indoor location system, saving stor...WLAN mdoor location method based on artificial neural network （ANN） is analyzed. A three layer feed-forward ANN model offers the benefits of reducing time cost of the layout of an indoor location system, saving storage cost of the radio map establishment and enhancing real-time capacity in the on-line phase. According to the analysis of SNR distributions of recorded beacon signal samples and discussion about the multi-mode phenomenon, the one map method is proposed for the purpose of simplifying ANN input values and increasing location performances. Based on the simulations and comparison analysis with other two typical indoor location methods, K-nearest neighbor （KNN） and probability, the feasibility and effectiveness of ANN-based indoor location method are verified with average location error of 2.37m and location accuracy of 78.6% in 3m.展开更多
This review study was designed to map out the research trends through an intensive text analysis of 1,366 research articles （RAs） of applied linguistics during the past 40 years （from 1976 to 2015）. RAs were coded...This review study was designed to map out the research trends through an intensive text analysis of 1,366 research articles （RAs） of applied linguistics during the past 40 years （from 1976 to 2015）. RAs were coded and analyzed by four analysts to identify their content of research, research methods, and statistical procedures. It was found that there has been an increase in the number and the average length of articles. The average length has been on the rise from 8.09 pages in 1976-1985 to 14.38 during 2006-2015. The extensive review of the RAs also revealed a broad range of themes that belonged to 34 research domains. SLA, Technology 8： Language Learning, Language Teaching Methodology, Language Testing, and Psycholinguistics were the most widely researched areas. The qualitative method with 33.97% was the dominant research method in the journals. Regarding the statistical techniques, it was illustrated that descriptive statistics, Pearson correlation, ANOVA, and t-test were the most commonly used procedures in the applied linguistic RAs.展开更多
Based on a differentiable merit function proposed by Taji et al. in ＂Math. Prog. Stud., 58, 1993, 369-383＂, the authors propose an affine scaling interior trust region strategy via optimal path to modify Newton meth...Based on a differentiable merit function proposed by Taji et al. in ＂Math. Prog. Stud., 58, 1993, 369-383＂, the authors propose an affine scaling interior trust region strategy via optimal path to modify Newton method for the strictly monotone variational inequality problem subject to linear equality and inequality constraints. By using the eigensystem decomposition and affine scaling mapping, the authors form an affine scaling optimal curvilinear path very easily in order to approximately solve the trust region subproblem. Theoretical analysis is given which shows that the proposed algorithm is globally convergent and has a local quadratic convergence rate under some reasonable conditions.展开更多
This paper proposes an arlene scaling derivative-free trust region method with interior backtracking technique for bounded-constrained nonlinear programming. This method is designed to get a stationary point for such ...This paper proposes an arlene scaling derivative-free trust region method with interior backtracking technique for bounded-constrained nonlinear programming. This method is designed to get a stationary point for such a problem with polynomial interpolation models instead of the objective function in trust region subproblem. Combined with both trust region strategy and line search technique, at each iteration, the affine scaling derivative-free trust region subproblem generates a backtracking direction in order to obtain a new accepted interior feasible step. Global convergence and fast local convergence properties are established under some reasonable conditions. Some numerical results are also given to show the effectiveness of the proposed algorithm.展开更多
For thermal conduction cases,one can detect the size of an object explicitly by measuring the temperature distribution around it.If the temperature is the only signature we can obtain,we will give an incorrect judgmen...For thermal conduction cases,one can detect the size of an object explicitly by measuring the temperature distribution around it.If the temperature is the only signature we can obtain,we will give an incorrect judgment on the shape or size of the object by disturbing the distribution of it.According to this principle,in this article,we develop a transformation method and design a dual-functional thermal device,which can create a thermal illusion that the object inside it ＂seems＂ to appear bigger or smaller than its original size.This device can functionally switch among magnifier and miniGer at will The proposed device consists of two layers：the cloak and the complementary material.A thermal cloak can make the internal region thermally ＂invisible＂ while the complementary layer offsets this effect.The combination leads to the illusion of magnification and minification.As a result of finite element simulations,the performances of the illusions are confirmed.展开更多
文摘WLAN mdoor location method based on artificial neural network （ANN） is analyzed. A three layer feed-forward ANN model offers the benefits of reducing time cost of the layout of an indoor location system, saving storage cost of the radio map establishment and enhancing real-time capacity in the on-line phase. According to the analysis of SNR distributions of recorded beacon signal samples and discussion about the multi-mode phenomenon, the one map method is proposed for the purpose of simplifying ANN input values and increasing location performances. Based on the simulations and comparison analysis with other two typical indoor location methods, K-nearest neighbor （KNN） and probability, the feasibility and effectiveness of ANN-based indoor location method are verified with average location error of 2.37m and location accuracy of 78.6% in 3m.
文摘This review study was designed to map out the research trends through an intensive text analysis of 1,366 research articles （RAs） of applied linguistics during the past 40 years （from 1976 to 2015）. RAs were coded and analyzed by four analysts to identify their content of research, research methods, and statistical procedures. It was found that there has been an increase in the number and the average length of articles. The average length has been on the rise from 8.09 pages in 1976-1985 to 14.38 during 2006-2015. The extensive review of the RAs also revealed a broad range of themes that belonged to 34 research domains. SLA, Technology 8： Language Learning, Language Teaching Methodology, Language Testing, and Psycholinguistics were the most widely researched areas. The qualitative method with 33.97% was the dominant research method in the journals. Regarding the statistical techniques, it was illustrated that descriptive statistics, Pearson correlation, ANOVA, and t-test were the most commonly used procedures in the applied linguistic RAs.
基金the National Natural Science Foundation of China(No.10471094)the Doctoral Programmer Foundation of the Ministry of Education of China(No.0527003)+1 种基金the Shanghai Leading Academic Discipline Project(No.T0401)and the Science Foundation Grant of Shanghai Municipal Education Committee(Nos.05DZ11,06A110).
文摘Based on a differentiable merit function proposed by Taji et al. in ＂Math. Prog. Stud., 58, 1993, 369-383＂, the authors propose an affine scaling interior trust region strategy via optimal path to modify Newton method for the strictly monotone variational inequality problem subject to linear equality and inequality constraints. By using the eigensystem decomposition and affine scaling mapping, the authors form an affine scaling optimal curvilinear path very easily in order to approximately solve the trust region subproblem. Theoretical analysis is given which shows that the proposed algorithm is globally convergent and has a local quadratic convergence rate under some reasonable conditions.
基金supported by the National Science Foundation of China under Grant No.11371253
文摘This paper proposes an arlene scaling derivative-free trust region method with interior backtracking technique for bounded-constrained nonlinear programming. This method is designed to get a stationary point for such a problem with polynomial interpolation models instead of the objective function in trust region subproblem. Combined with both trust region strategy and line search technique, at each iteration, the affine scaling derivative-free trust region subproblem generates a backtracking direction in order to obtain a new accepted interior feasible step. Global convergence and fast local convergence properties are established under some reasonable conditions. Some numerical results are also given to show the effectiveness of the proposed algorithm.
基金Support by the National Natural Science Foundation of China under Grant No.11222544by the Fok Ying Tung Education Foundation under Grant No.131008+1 种基金by the Program for New Century Excellent Talents in University(NCET-12-0121)by the Chinese National Key Basic Research Special Fund under Grant No.2011CB922004
文摘For thermal conduction cases,one can detect the size of an object explicitly by measuring the temperature distribution around it.If the temperature is the only signature we can obtain,we will give an incorrect judgment on the shape or size of the object by disturbing the distribution of it.According to this principle,in this article,we develop a transformation method and design a dual-functional thermal device,which can create a thermal illusion that the object inside it ＂seems＂ to appear bigger or smaller than its original size.This device can functionally switch among magnifier and miniGer at will The proposed device consists of two layers：the cloak and the complementary material.A thermal cloak can make the internal region thermally ＂invisible＂ while the complementary layer offsets this effect.The combination leads to the illusion of magnification and minification.As a result of finite element simulations,the performances of the illusions are confirmed.
