Generalized Space Shift Keying(GSSK)modulation is a low-complexity spatial nmltiplexing technique for nmltiple-antenna wireless systems.However,effective transmit antenna combinations have to be preselected,and there ...Generalized Space Shift Keying(GSSK)modulation is a low-complexity spatial nmltiplexing technique for nmltiple-antenna wireless systems.However,effective transmit antenna combinations have to be preselected,and there exist redundant antenna combinations which are not used in GSSK.In this paper,a novel adaptive mapping scheme for GSSK modulation,named as Adaptive Mapping Generalized Space Shift Keying(AMGSSK),is presented.Compared with GSSK,the antenna combinations are updated adaptively according to the Channel State Inforrmtion(CSI)in the proposed AMGSSK system,and the perfonrance of average Symbol Error Rate(SER)is reduced considerably.In the proposed scheme,two algorithrrs for selecting the optimum antenna combinations are described.The SER perfonmnce of AMGSSK is analyzed theoretically,and validated by Monte Carlo sinmlation.It is shown that the proposed AMGSSK scheme has good perfonmnce in SER and spectral efficiency.展开更多
A novel adaptive non-linear mapping （ANLM）, integrating an adaptive mapping error （AME） with a chaosgenetic algorithm （CGA） including chaotic variable, was proposed to overcome the deficiencies of non-linear map...A novel adaptive non-linear mapping （ANLM）, integrating an adaptive mapping error （AME） with a chaosgenetic algorithm （CGA） including chaotic variable, was proposed to overcome the deficiencies of non-linear mapping （NLM）. The value of AME weight factor is determined according to the relative deviation square of distance between the two mapping points and the corresponding original objects distance. The larger the relative deviation square between two distances is, the larger the value of the corresponding weight factor is. Due to chaotic mapping operator, the evolutional process of CGA makes the individuals of subgenerations distributed ergodieally in the defined space and circumvents the premature of the individuals of subgenerations. The comparison results demonstrated that the whole performance of CGA is better than that of traditional genetic algorithm. Furthermore, a typical example of mapping eight-dimenslonal olive oil samples onto two-dimensional plane was employed to verify the effectiveness of ANLM. The results showed that the topology-preserving map obtained by ANLM can well represent the classification of original objects and is much better than that obtained by NLM.展开更多
In this paper, we discuss the development of electronic atlas in China, with focus on the issues of visualization. We particularly categorise this development into four periods, and then analyse the characters in each...In this paper, we discuss the development of electronic atlas in China, with focus on the issues of visualization. We particularly categorise this development into four periods, and then analyse the characters in each period and discuss the visualization issues. The four periods are highlighted: 1) Infant period (<1990) characterized as computer assisted mapping with products of screen maps; 2) Starting period (1991-1995) characterized as object-oriented mapping with products of interactive maps/atlases; 3) Advancing period (1996-2000) characterized as integrated mapping with products of multimedia cartographic maps; 4) New era (> 2001) characterized as web mapping and adaptive map design with products of Internet maps and atlas as well as adaptive maps. It is obvious that the development follows the logical way from static to dynamic, and even real time visualization, from single user to multiple users, from presentation to exploration for effective communication and knowledge construction. Current research and development projects are focused on customisation of atlas information systems for real-time tasks, Internet operability, small displays and mobile environments. The major challenges involved in each of such customisation processes are identified and commented in relation to the further development of visualization.展开更多
In urban construction,the“Urban Optimal Map(UOM)”serves as a key tool for integrating social resources and natural elements,and it plays a significant role in promoting sustainable urban development.With the advent ...In urban construction,the“Urban Optimal Map(UOM)”serves as a key tool for integrating social resources and natural elements,and it plays a significant role in promoting sustainable urban development.With the advent of the digital era,various data collection devices deployed in cities have accumulated massive amounts of data,forming multi-source,high-dimensional urban databases.While visualizing these data helps uncover patterns of urban operations,the overlay of large volumes of data also complicates the visualization,making it difficult to interpret.From an animal behavior perspective,this study integrates natural geographical data of London,distribution data of different animal species,urban social information data,and comparative data on animal habits.Through GIS analysis,data visualization,and weight overlay to generate adaptability maps,a digital model is constructed and an animal behavior simulation program is developed.On this basis,multi-criteria analysis(MCA)is employed to comprehensively evaluate the simulation results and optimize decision-making,and planning solutions that balance ecological and social needs are derived.The findings demonstrate that by mining and integrating multi-source data,along with future scenario simulations,the complex relationships among urban environment,society,and sustainable development can be effectively explored.This provides scientific and objective data support for promoting harmonious coexistence between urban development and nature,and can assist decision-makers in formulating more rational urban planning strategies.As urban data continues to be updated,the“UOM”will evolve into a dynamic map system.By incorporating machine learning methods to mine temporal dimension information,it can further achieve predictions of future urban development trends,and offer scientific support for urban resource allocation and planning strategies.展开更多
基金supported partially by the National Key Basic Research Program of China under Grant No.2007CB310605the Science and Technology Development Fund of Tianjin Colleges and Universities under Grant No.20080708the Research Fund of Tianjin University of Technology and Education under Grants No.KJ09-012,No.KJ10-06
文摘Generalized Space Shift Keying(GSSK)modulation is a low-complexity spatial nmltiplexing technique for nmltiple-antenna wireless systems.However,effective transmit antenna combinations have to be preselected,and there exist redundant antenna combinations which are not used in GSSK.In this paper,a novel adaptive mapping scheme for GSSK modulation,named as Adaptive Mapping Generalized Space Shift Keying(AMGSSK),is presented.Compared with GSSK,the antenna combinations are updated adaptively according to the Channel State Inforrmtion(CSI)in the proposed AMGSSK system,and the perfonrance of average Symbol Error Rate(SER)is reduced considerably.In the proposed scheme,two algorithrrs for selecting the optimum antenna combinations are described.The SER perfonmnce of AMGSSK is analyzed theoretically,and validated by Monte Carlo sinmlation.It is shown that the proposed AMGSSK scheme has good perfonmnce in SER and spectral efficiency.
基金Supported by the National Natural Science Foun-dation of China (20506003) the National Basic Research ProgramofChina (973 Program2002CB312200) the ShangHai Science andTechnology of Phosphor of China (04QMX1433)
文摘A novel adaptive non-linear mapping （ANLM）, integrating an adaptive mapping error （AME） with a chaosgenetic algorithm （CGA） including chaotic variable, was proposed to overcome the deficiencies of non-linear mapping （NLM）. The value of AME weight factor is determined according to the relative deviation square of distance between the two mapping points and the corresponding original objects distance. The larger the relative deviation square between two distances is, the larger the value of the corresponding weight factor is. Due to chaotic mapping operator, the evolutional process of CGA makes the individuals of subgenerations distributed ergodieally in the defined space and circumvents the premature of the individuals of subgenerations. The comparison results demonstrated that the whole performance of CGA is better than that of traditional genetic algorithm. Furthermore, a typical example of mapping eight-dimenslonal olive oil samples onto two-dimensional plane was employed to verify the effectiveness of ANLM. The results showed that the topology-preserving map obtained by ANLM can well represent the classification of original objects and is much better than that obtained by NLM.
基金National Research Program of China No.2003BA808A14
文摘In this paper, we discuss the development of electronic atlas in China, with focus on the issues of visualization. We particularly categorise this development into four periods, and then analyse the characters in each period and discuss the visualization issues. The four periods are highlighted: 1) Infant period (<1990) characterized as computer assisted mapping with products of screen maps; 2) Starting period (1991-1995) characterized as object-oriented mapping with products of interactive maps/atlases; 3) Advancing period (1996-2000) characterized as integrated mapping with products of multimedia cartographic maps; 4) New era (> 2001) characterized as web mapping and adaptive map design with products of Internet maps and atlas as well as adaptive maps. It is obvious that the development follows the logical way from static to dynamic, and even real time visualization, from single user to multiple users, from presentation to exploration for effective communication and knowledge construction. Current research and development projects are focused on customisation of atlas information systems for real-time tasks, Internet operability, small displays and mobile environments. The major challenges involved in each of such customisation processes are identified and commented in relation to the further development of visualization.
文摘In urban construction,the“Urban Optimal Map(UOM)”serves as a key tool for integrating social resources and natural elements,and it plays a significant role in promoting sustainable urban development.With the advent of the digital era,various data collection devices deployed in cities have accumulated massive amounts of data,forming multi-source,high-dimensional urban databases.While visualizing these data helps uncover patterns of urban operations,the overlay of large volumes of data also complicates the visualization,making it difficult to interpret.From an animal behavior perspective,this study integrates natural geographical data of London,distribution data of different animal species,urban social information data,and comparative data on animal habits.Through GIS analysis,data visualization,and weight overlay to generate adaptability maps,a digital model is constructed and an animal behavior simulation program is developed.On this basis,multi-criteria analysis(MCA)is employed to comprehensively evaluate the simulation results and optimize decision-making,and planning solutions that balance ecological and social needs are derived.The findings demonstrate that by mining and integrating multi-source data,along with future scenario simulations,the complex relationships among urban environment,society,and sustainable development can be effectively explored.This provides scientific and objective data support for promoting harmonious coexistence between urban development and nature,and can assist decision-makers in formulating more rational urban planning strategies.As urban data continues to be updated,the“UOM”will evolve into a dynamic map system.By incorporating machine learning methods to mine temporal dimension information,it can further achieve predictions of future urban development trends,and offer scientific support for urban resource allocation and planning strategies.
