With the application of internet of things and artificial intelligence in the field of smart home, smart home has the ability of active interaction. Aiming at the problem of balancing information transmission and user experience in active interaction of smart home, a design strategy for active interaction of smart home system is proposed. Firstly, through literature research and summary, this paper summarizes the development status of the active interaction of the smart home system, and summarizes it into three characteristics:the interaction strategy gradually adopts the adaptive scene mode, the interaction channel gradually shifts to multi-modality, and the degree of interaction gradually presents low disturbance, which provides theoretical support for the strategy design.Secondly, sort out the scene elements of smart home and the level of disturbance of different interaction modes,and propose the corresponding active interaction strategy of smart home under the tasks of different scenes. Finally, the “Wizard of Oz” method is used to conduct experiments in the experimental scene built by ourselves.Using the SUS scale and the USE questionnaire as evaluation indicators, the usability and satisfaction of the proposed strategy are verified. In this paper, the corresponding relationship between different scenarios of smart home and the degree of active interaction disturbance is constructed to provide reference for follow-up research.

随着全球服务贸易经济的发展,制造业服务化视野下的用户需求呈现出模糊和复杂的特征,传统聚焦成品的产品创新思维和传统服务模式难以应对这一挑战,迫使企业亟需变革.研究基于价值共创理论提出一种准确获取与表达服务接触点、集成知识与共创的群智能化服务设计方法.以基于异质信息网络用户生成内容层级为数据源头,而后整合模型优化的推理、发明问题的解决理论、知识图谱提出了群智能的集成服务设计模型.模型集成了3个关键的设计步骤:(1)在用户生成内容的智能化采集阶段,采用异质网络对用户生成内容进行文本挖掘并生成异质网络,而后经过三角验证生成用户结构层级.(2)在多方利益相关者协作共创的解决方案生成阶段,结合模型优化推理和发明问题的解决理论的优势互补特点,将用户需求进行解构、重组;(3)在融合设计知识管理阶段,结合人工智能知识图谱构建矩阵,进行元素级和结构级的多样化匹配,确定各服务要素的组合方案.以共享汽车企业的服务设计为例,基于该模型设计了新的交通共享服务系统,验证了本研究提出的基于数据智能的全链条服务设计模型具有一定的普适性,揭示了服务共创价值中各参与者的角色以及资源智能配置方式,为企业生产者逻辑和用户逻辑的价值共创过程提供了智能化实现途径.

为响应国家颁布的《新一代人工智能发展规划》中提出的发展智慧教育的政策,加速中小学STEM教育的普及与发展,围绕STEM教育教学发展目标,检索分析国内外相关文献,探索发展现状.运用案例分析、使用场景、问卷分析等方法,分析STEM教育产品的功能形态特征,总结在智慧课堂中的相关用户需求与数据.通过对智慧课堂STEM课程的需求提取,最终设计开发一套基于实体交互的模块化、情感化智能机器人产品"AMIGO",该智能机器人产品由十余种传感器、电子元件和主板组成,同时结合了在线编程课程内容中的多人竞赛与合作功能.

目的 基于生物力学原理,评价自动驾驶情景中座椅靠背和座面的多种组合对睡眠舒适度的影响,从而指导智能座舱的设计研发.方法 基于Tekscan的CONFORmat座椅压力分布测量系统,设计了座面角度(15°,25°,35°)和靠背角度(140°,150°,160°)的实验装置,获取了20位被试的客观多维数据与主观评价数据,随后应用人工神经网络构建了舒适度预测模型.结果 重复测量方差分析表明,随着座面平移角度的增加,可有效地均衡界面接触压力分布,座椅靠背角度为160°与座面角度35°的组合设计,其压力的加权平均值、总接触面积、界面压力分布指数、适应性等级与其他实验条件有显著性差异.结论 最后应用人工神经网络预测模型的精确验证,研究建议将35°的座面角度与160°的椅背应用于智能座舱的睡眠位置.

目的 探索中国儿童国学教育的创新性学习模式,将实体与数字设计在儿童学习体验中融合,采用增强现实技术实践开发智能儿童国学教育产品.方法 围绕用户、产品、技术3个要素,引入访谈、问卷调研、行为观察、竞品分析等方法全面分析儿童学习国学的需求及问题,并从中提取设计的机会点.结论 基于增强现实及图像识别技术,创建了多模交互体验国学产品——嘟嘟熊,全面改变了传统国学教育的学习模式,支持提升儿童在学习过程中的认知能力、动手能力及情感交流.同时,帮助儿童体验趣味性、互动性、益智性的学习享乐过程,提高了儿童国学学习的效率与兴趣.设计方案对于儿童国学教育的创新模式研究具有里程碑的意义,为中国儿童国学教育的未来奠定了发展方向.

目的 基于学龄前儿童玩具收纳的交互行为和收纳习惯,设计智能收纳玩具的产品,引导儿童养成良好的收纳习惯.方法 主要采用了问卷调研、竞品分析、用户访谈、用户画像等定性和定量的研究方法,将儿童的生理特征、收纳行为以及收纳过程中的问题进行了需求提炼,同时引用了实体交互设计方法对其进行创新设计实践.结果 设计出了一款软硬件结合的儿童智能玩具收纳装置《Yummy》,其具有智能化自定义需求设置、管控游戏时间等功能;并通过多通道交互提供可视化、音效化等多感官交互方式;最终将开发原型进行了可用性测试,验证了箱体造型、收纳方式、数据传输形式等符合儿童的收纳情感化需求.结论 通过对智能玩具收纳交互装置的研究,实现了儿童玩具收纳方式的互动性、趣味性、益智性的创新设计,最后以此设计为媒介,帮助儿童养成良好的收纳习惯以及分类管理能力,促进亲子间的情感交流.

At present, the evaluation index of path planning is difficult to unity and path evaluation function depends more on subjective experience. The two problems cause decision makers feel hard to choose final path in alternative paths. Aiming to the situation,a relatively complete UCAV path evaluation index system is established. And then, in the case of known alternative paths information,BPNeural Networkmethod is proposed to comprehensively evaluate the alternative paths and give the paths'final sorting,which provides reasonable suggestion for decision makers. At last, actual calculations are introduced to demonstrate the feasibility of the method in the paper.

Aiming at different threat level and different kinds of threat in actual operational environment,the path planning space on the basis of improved Voronoi diagram is established. Because evaluation function of A* algorithm requires different sensitiveness to indicator at different stage,based on traditional heuristic A*algorithm,dynamic weights A* algorithm is proposed to improve efficiency of path searching and combine the rapidity and the veracity of path planning. By Matlab software,the optimal path is acquired and the path is smoothed. The simulation shows the feasibility of improved Voronoi diagram and dynamic weights A*algorithm.

In usual threat modeling,the information exchange among the threats is often ignored. To solve the problem,a target instruction probability model was established. On which basis,a threat netting model based on detection probability was built up. Common path cost function was improved by using the threat netting model. The Differential Evolution Algorithm( DEA) was introduced,and analysis was made to the effect of threat netting on threat intensity and threat cost of waypoint by using the method. Simulation was made to the effect of the threat netting model on path planning,which shows the necessity and feasibility of threat netting model.

A software simulation method based on virtual reality was proposed to simulate the display and control system of an aircraft in three-dimensional environment.Virtual panels were applied to create main man-machine interfaces;Vega Prime virtual reality development environment and dynamic texture technology based on OpenGL were used to produce three-dimensional scenes and animations;and multi-threading technology was adopted to improve the real-time performance of software.The result of simulation proves this method can fulfill anticipated functions and meet the requirement for the real-time performance.

A path planning method based on the hierarchical decomposition strategy was proposed for multi-UAV cooperative path planning in the battle field.First,the planning space was obtained by means of skeletonization algorithm,and K backup paths were generated for each UAV based on Evolutionary Multiple Route Planner(EMRP) algorithm.The EMRP algorithm was used together with mathematical morphology for solving the problem of multi-UAV cooperative path planning.The initial paths generated were smoothed,and the feasible paths that satisfied the maneuvering requirement of the UAV was obtained.Then a cooperative planning model was established,which could plan a feasible path for each UAV,which meeted both the requirements of time-coordination and the minimum cost.The simulation shows that this method is viable.

For real-time simulation of the complicated display and control system of aircrafts in a simple and quick way,a design scheme of distributed display and control simulation system based on Client/Server structure is presented with its functional features.Through using C/S structure,the system is divided into one server and multi clients,between which communication interfaces are established.And multithreading technology is applied to the division of the system software into modularized threads,to improve the real-time performance of system.The simulation results show that both display rate and communication rate meet the real-timere quirements,which lays the foundation for the simulation of a more complex display and control system.

A software simulation method available for display and control interfaces of various aircrafts was introduced,according to the requirement of avionics system simulation and the features of display and control units.Through using modularization technology,the same program flow,module structure and class hierarchy was applied to various objects simulated.Object-oriented technology was applied to design code-reusable classes for all modules,in order to share resources and support the simulation of various avionics systems.

By using the technology of image segmentation based on watershed algorithm of mathematical morphology,we distilled the lowest point of the real terrain.And we realized 3-D path planning which solved the problem of dimension explosion and building model hard caused by using real 3-D terrain.The result of simulation demonstrates that the method needs less space,time and is easy to be realized.

A path planning strategy is developed for the coordinated multiple unmanned vehicles(UAVs).Firstly,an initial path from the projection start position to the target position can be devised by constructing a Voronoi diagram based upon the locations of the threats.Then the initial path is discretized for adjustment and smoothing.At last the desirable paths to the target are obtained by simulating the dynamic chain in a potential field.The result for multiple vehicles is a set of smooth and flyable paths with equal length that reduces exposure to threats.The simulation result shows that this strategy woks well and makes it possible for the simultaneous arrival of UAVs formation at the target.

A path planning method for UAV is proposed based on edge extraction algorithm of mathematical morphology,which emphases on initial path planning of expedite planning scheme based on real terrain data and irregular fire threat area.Results of simulation show the initial layout is undersize and easily implemented,especially shortening re-planning time when fire threat situation changes.

To improve the efficiency in combat mission,the target assignment problem is a very important but very difficult problem.The adaptive Ant-Q System algorithm is studied in the paper,which looks quite promising for the target assignment problem.In the full paper,we present the situation model;then based on the ant colony algorithm;a new method is put forward.Algorithm experimental result is given in the end,which shows that this new target assignment method is valid with a fast convergence raise and high precision.

A path planning scheme for UAV is studied based on improved A* algorithm,which resolves the problem that the A* algorithm needs much more time when searching in big space.Results of simulation show the the computing speed is fast and it's wieldy realization.

A path planning scheme for UAV is studied based on mathematical morphology,which emphasis on initial path planning layout based on real terrain data and erose fire threats.Results of simulation show the initial layout is un- dersize and wieldy realization.

Firstly,this paper brings in one kind of arithmetic of TV-guidance and template's adaptive updating,based on partial derivative correlation tracking,for TV-guided bombs.Secondly,it simulates the TV-guided tracker which uses this kind of arithmetic.