In the era of network live broadcasting for everyone,the development of live broadcasting platforms is also more intelligent and diversified.However,in the face of a large group of elderly users,the interface interact...In the era of network live broadcasting for everyone,the development of live broadcasting platforms is also more intelligent and diversified.However,in the face of a large group of elderly users,the interface interaction design mode used is still mainly based on the interaction mode for young groups,and is not designed for elderly users.Therefore,a design method for optimizing the interaction interface of live broadcasting platform for elderly users was proposed in this study.Firstly,the case study method and Delphi expert survey method were used to determine the design needs of elderly users and the design mode was analysed.Secondly,the orthogonal design principle was used to design a test sample of the interactive interface of live broadcasting platform applicable for the elderly users,and then a user evaluation system was established to calculate the weights of the design elements using hierarchical analysis,and then the predictive relationship between the design mode of the interactive interface of live broadcasting platform and the elderly users was established by Quantitative Theory I.Finally,Genetic Algorithm was applied to generate the optimized design scheme.The results showed that the design method based on the Genetic Algorithm and the combination of Quantitative Theory can scientifically and effectively optimize the design of the interactive interface of the live broadcasting platform for the elderly users,and improve the experience of the elderly users.展开更多
This paper improves the resampling step of particle filtering(PF) based on a broad interactive genetic algorithm to resolve particle degeneration and particle shortage.For target tracking in image processing,this pa...This paper improves the resampling step of particle filtering(PF) based on a broad interactive genetic algorithm to resolve particle degeneration and particle shortage.For target tracking in image processing,this paper uses the information coming from the particles of the previous fame image and new observation data to self-adaptively determine the selecting range of particles in current fame image.The improved selecting operator with jam gene is used to ensure the diversity of particles in mathematics,and the absolute arithmetical crossing operator whose feasible solution space being close about crossing operation,and non-uniform mutation operator is used to capture all kinds of mutation in this paper.The result of simulating experiment shows that the algorithm of this paper has better iterative estimating capability than extended Kalman filtering(EKF),PF,regularized partide filtering(RPF),and genetic algorithm(GA)-PF.展开更多
A fast interactive segmentation algorithm of image-sequences based on relative fuzzy connectedness is presented. In comparison with the original algorithm, the proposed one, with the same accuracy, accelerates the seg...A fast interactive segmentation algorithm of image-sequences based on relative fuzzy connectedness is presented. In comparison with the original algorithm, the proposed one, with the same accuracy, accelerates the segmentation speed by three times for single image. Meanwhile, this fast segmentation algorithm is extended from single object to multiple objects and from single-image to image-sequences. Thus the segmentation of multiple objects from complex hackground and batch segmentation of image-sequences can be achieved. In addition, a post-processing scheme is incorporated in this algorithm, which extracts smooth edge with one-pixel-width for each segmented object. The experimental results illustrate that the proposed algorithm can obtain the object regions of interest from medical image or image-sequences as well as man-made images quickly and reliably with only a little interaction.展开更多
为了满足固沙机功能集成化、智能化方向发展需求,设计了一种智能草沙障固沙机控制系统,采用主从式控制系统结构,以双Arduino Mega 2560为核心主控器,使用模块化对控制系统的硬件和软件进行设计;纵向铺设控制模块、底盘升降控制模块和播...为了满足固沙机功能集成化、智能化方向发展需求,设计了一种智能草沙障固沙机控制系统,采用主从式控制系统结构,以双Arduino Mega 2560为核心主控器,使用模块化对控制系统的硬件和软件进行设计;纵向铺设控制模块、底盘升降控制模块和播种控制模块采用增量式PID控制算法;横向铺设控制模块采用位置式PID控制算法,并结合YOLOv3实现草沙障的检测追踪;以触摸屏和基于蓝牙的固沙机控制Android APP为人机交互界面。控制系统试验结果表明:基于PID算法检测追踪方式与直插式铺设方式相比,采用检测追踪方式固沙机的横向犁沙宽度减小了78.7%,整车振动减小了42.6%,草沙障铺设和播种测试功能均达到样机设计预期,为智能化固沙机研究提供了一种切实可行的设计方案。展开更多
文摘In the era of network live broadcasting for everyone,the development of live broadcasting platforms is also more intelligent and diversified.However,in the face of a large group of elderly users,the interface interaction design mode used is still mainly based on the interaction mode for young groups,and is not designed for elderly users.Therefore,a design method for optimizing the interaction interface of live broadcasting platform for elderly users was proposed in this study.Firstly,the case study method and Delphi expert survey method were used to determine the design needs of elderly users and the design mode was analysed.Secondly,the orthogonal design principle was used to design a test sample of the interactive interface of live broadcasting platform applicable for the elderly users,and then a user evaluation system was established to calculate the weights of the design elements using hierarchical analysis,and then the predictive relationship between the design mode of the interactive interface of live broadcasting platform and the elderly users was established by Quantitative Theory I.Finally,Genetic Algorithm was applied to generate the optimized design scheme.The results showed that the design method based on the Genetic Algorithm and the combination of Quantitative Theory can scientifically and effectively optimize the design of the interactive interface of the live broadcasting platform for the elderly users,and improve the experience of the elderly users.
基金supported by the National Natural Science Foundation of China(61302145)
文摘This paper improves the resampling step of particle filtering(PF) based on a broad interactive genetic algorithm to resolve particle degeneration and particle shortage.For target tracking in image processing,this paper uses the information coming from the particles of the previous fame image and new observation data to self-adaptively determine the selecting range of particles in current fame image.The improved selecting operator with jam gene is used to ensure the diversity of particles in mathematics,and the absolute arithmetical crossing operator whose feasible solution space being close about crossing operation,and non-uniform mutation operator is used to capture all kinds of mutation in this paper.The result of simulating experiment shows that the algorithm of this paper has better iterative estimating capability than extended Kalman filtering(EKF),PF,regularized partide filtering(RPF),and genetic algorithm(GA)-PF.
文摘A fast interactive segmentation algorithm of image-sequences based on relative fuzzy connectedness is presented. In comparison with the original algorithm, the proposed one, with the same accuracy, accelerates the segmentation speed by three times for single image. Meanwhile, this fast segmentation algorithm is extended from single object to multiple objects and from single-image to image-sequences. Thus the segmentation of multiple objects from complex hackground and batch segmentation of image-sequences can be achieved. In addition, a post-processing scheme is incorporated in this algorithm, which extracts smooth edge with one-pixel-width for each segmented object. The experimental results illustrate that the proposed algorithm can obtain the object regions of interest from medical image or image-sequences as well as man-made images quickly and reliably with only a little interaction.
文摘为了满足固沙机功能集成化、智能化方向发展需求,设计了一种智能草沙障固沙机控制系统,采用主从式控制系统结构,以双Arduino Mega 2560为核心主控器,使用模块化对控制系统的硬件和软件进行设计;纵向铺设控制模块、底盘升降控制模块和播种控制模块采用增量式PID控制算法;横向铺设控制模块采用位置式PID控制算法,并结合YOLOv3实现草沙障的检测追踪;以触摸屏和基于蓝牙的固沙机控制Android APP为人机交互界面。控制系统试验结果表明:基于PID算法检测追踪方式与直插式铺设方式相比,采用检测追踪方式固沙机的横向犁沙宽度减小了78.7%,整车振动减小了42.6%,草沙障铺设和播种测试功能均达到样机设计预期,为智能化固沙机研究提供了一种切实可行的设计方案。