The problem of privacy in social networks is well documented within literature;users have pri- vacy concerns however, they consistently disclose their sensitive information and leave it open to unintended third partie...The problem of privacy in social networks is well documented within literature;users have pri- vacy concerns however, they consistently disclose their sensitive information and leave it open to unintended third parties. While numerous causes of poor behaviour have been suggested by re- search the role of the User Interface (UI) and the system itself is underexplored. The field of Per- suasive Technology would suggest that Social Network Systems persuade users to deviate from their normal or habitual behaviour. This paper makes the case that the UI can be used as the basis for user empowerment by informing them of their privacy at the point of interaction and remind- ing them of their privacy needs. The Theory of Planned Behaviour is introduced as a potential theoretical foundation for exploring the psychology behind privacy behaviour as it describes the salient factors that influence intention and action. Based on these factors of personal attitude, subjective norms and perceived control, a series of UIs are presented and implemented in con- trolled experiments examining their effect on personal information disclosure. This is combined with observations and interviews with the participants. Results from this initial, pilot experiment suggest groups with privacy salient information embedded exhibit less disclosure than the control group. This work reviews this approach as a method for exploring privacy behaviour and propos- es further work required.展开更多
为满足铁路接触网腕臂智能检修作业中机械臂自动导航需求,提出一种综合解决路径规划和障碍物避让问题的研究方法。该方法将双重目标转化为单一的约束优化问题。在此基础上,对标准快速搜索随机树(Rapidly exploring Random Tree,RRT)算...为满足铁路接触网腕臂智能检修作业中机械臂自动导航需求,提出一种综合解决路径规划和障碍物避让问题的研究方法。该方法将双重目标转化为单一的约束优化问题。在此基础上,对标准快速搜索随机树(Rapidly exploring Random Tree,RRT)算法进行改进,引入地图复杂程度评估策略和高斯混合分布采样策略,以约束随机采样点的生成方向。通过加入角度约束策略和临近障碍物的变步长机制,确保随机树始终向目标点方向生长,从而规划出渐进最优的路径。此外,设计一种基于甲虫嗅觉探测的递归神经网络(Recurrent Neural Network based on Beetle Olfactory Detection,RNNBOD)算法,配置最优关节角度,驱动冗余机械臂末端执行器沿规划的参考路径移动,从而降低其计算成本。仿真结果表明,该方法不仅有效提升了标准RRT算法的搜索效率、节点利用率和路径质量,还成功解决了冗余机械臂在运行过程中的跟踪控制难题。展开更多
文摘The problem of privacy in social networks is well documented within literature;users have pri- vacy concerns however, they consistently disclose their sensitive information and leave it open to unintended third parties. While numerous causes of poor behaviour have been suggested by re- search the role of the User Interface (UI) and the system itself is underexplored. The field of Per- suasive Technology would suggest that Social Network Systems persuade users to deviate from their normal or habitual behaviour. This paper makes the case that the UI can be used as the basis for user empowerment by informing them of their privacy at the point of interaction and remind- ing them of their privacy needs. The Theory of Planned Behaviour is introduced as a potential theoretical foundation for exploring the psychology behind privacy behaviour as it describes the salient factors that influence intention and action. Based on these factors of personal attitude, subjective norms and perceived control, a series of UIs are presented and implemented in con- trolled experiments examining their effect on personal information disclosure. This is combined with observations and interviews with the participants. Results from this initial, pilot experiment suggest groups with privacy salient information embedded exhibit less disclosure than the control group. This work reviews this approach as a method for exploring privacy behaviour and propos- es further work required.
文摘为满足铁路接触网腕臂智能检修作业中机械臂自动导航需求,提出一种综合解决路径规划和障碍物避让问题的研究方法。该方法将双重目标转化为单一的约束优化问题。在此基础上,对标准快速搜索随机树(Rapidly exploring Random Tree,RRT)算法进行改进,引入地图复杂程度评估策略和高斯混合分布采样策略,以约束随机采样点的生成方向。通过加入角度约束策略和临近障碍物的变步长机制,确保随机树始终向目标点方向生长,从而规划出渐进最优的路径。此外,设计一种基于甲虫嗅觉探测的递归神经网络(Recurrent Neural Network based on Beetle Olfactory Detection,RNNBOD)算法,配置最优关节角度,驱动冗余机械臂末端执行器沿规划的参考路径移动,从而降低其计算成本。仿真结果表明,该方法不仅有效提升了标准RRT算法的搜索效率、节点利用率和路径质量,还成功解决了冗余机械臂在运行过程中的跟踪控制难题。
