Social Media and Trust during the Gezi Protests in Turkey

The Gezi Protests, an environmental sit‐in that turned into a social movement in Turkey, is often compared to the Arab Spring and the Occupy movement with regard to the importance attributed to social media. This paper examines the role that social media played during the protests, with an emphasis on how trust was built and maintained among the protestors. In‐depth interviews with 21 active Gezi protestors revealed that social trust and system trust were intertwined in actual practices. On one side, technological affordances worked as an interface that facilitated social identification, which helped in trusting the person behind the information. On the other side, technological affordances themselves invited different levels of trust, subject to both physical constraints and technological barriers.     

Emotional clouds: Showing arousal and valence through the movement and darkness of digital cartoonish clouds

While nowadays the most usual way to show emotions in digital contexts is via virtual characters, its use may raise false expectations (the user attributes human abilities to the virtual character). This paper proposes and explores an approach to express emotions which intends to minimize the user's expectations by using a non-anthropomorphic model. Emotions are represented in terms of arousal and valence dimensions. They are visualized in a simple way through the behaviour and appearance of a series of cartoonish clouds. In particular, the arousal value is expressed through the movement of these clouds (controlled by a flocking algorithm), while the valence value is expressed through their degree of darkness. Furthermore, the paper describes a user experiment which investigated whether the arousal and valence expressed by our model are appropriately interpreted by the users or not. The results suggest that movement and darkness are interpreted as arousal and valence respectively and that they are independent of each other.     

Movement of smallmouth bass within the Beaver Island Archipelago, northern Lake Michigan

Fish movement may vary across a wide array of aquatic ecosystems and may be related to the overall size of the system inhabited. We investigated movement of smallmouth bass in Lake Michigan because this information is lacking for larger systems. A total of 16 smallmouth bass were surgically implanted with ultrasonic transmitters within the Beaver Archipelago, northern Lake Michigan. During 2007-2008, a maximum of one location per individual was recorded daily during three specific tracking periods - pre-spawn, spawning, and post-spawn - to determine diurnal movement patterns. Movement was evaluated as site fidelity, minimum displacement rate, maximum excursion rate, and distance from shore. Smallmouth bass exhibited greater maximum excursion rates during the spawn period compared to pre-spawn. Movement rates did not differ between tracking periods; however, movement rates were greater during the spawn period in 2007 than 2008. Both sexes moved further offshore to deeper water during post-spawn, but females were located further offshore than males during this period. Annual site fidelity was more evident during post-spawn than during spawning for both sexes. Two smallmouth bass emigrated outside of the Archipelago, suggesting this population may be more “open” in terms of individuals moving throughout northern Lake Michigan than previously thought. These results indicate smallmouth bass may move greater distances in larger aquatic systems and therefore larger management units (in terms of total area) should be established in Lake Michigan to account for these greater excursion distances.     

大型建筑物人员疏散仿真系统及实现

人员疏散仿真的关键是模型的选择,为了使仿真结果更加接近实际,基于元胞自动机模型,改进和优化了人员疏散仿真算法,设计了目标元胞选择算法,提出个体竞争力的定义和计算方法,在疏散仿真模型中引入环境熟悉程度和运动方向等因子,设计并实现了疏散仿真系统,实验结果表明,系统能够更加真实地仿真紧急状况下人员疏散的全过程.     

The movement patterns and the experiential components of virtual environments

Human movement in virtual environments (VEs) is a largely unstudied area, and there are no well-established methods of measuring it in VEs. Consequently, it is unclear how movement affects the experiential side of VEs. We introduce a novel method of measuring and modelling human movement. A specific information entropy-based modelling method enabled us to identify different movement patterns and analyse the experiential components related to them. The data was collected by registering the movement patterns of 68 participants who were in a virtual house doing a search task. The experiential side of the VE was measured with the Experimental Virtual Environment Questionnaire (EVEQ). Four movement patterns were identified. In addition, fluent movement in VEs was related to a high sense of presence. Moreover, the participants who moved fluently in the environment assessed their skills high. The results show how movement is related the way in which people experience the VE. The movement analysis method introduced here is applicable to other related research areas as well.     

织机经纱张力自适应控制的研究

本文首先分析了一类喷气织机的电子送经控制系统,通过分析经纱的受力情况和经纱的形变情况,建立经纱张力模型。给出了系统的控制方案,推导出了经轴半径在线辨识公式。通过现场调试,该系统已实现正常工作,经纱张力稳定,织物的质量提高了。     

型传感器测量断路器动特性的研究

通过对断路器触头运动特性的分析,提出采用硅压阻MEMS技术的加速度传感器来测量断路器触头运动特性的方法,并详细介绍了3031型加速度计的特点。同时采用滤波算法对测量数据的进行修正。使用MEMS型加速度传感器,测量准确、安装方便,建议在全国范围内推广使用。     

磨盘山水库防洪及兴利调度系统软件的开发及运行

按照设计深度要求,对磨盘山水库防洪及兴利调度系统软件开发及运行进行技术分析,并在实际项目中得到应用,取得良好效果。     

救援救生仿真系统中虚拟人运动控制的实现

利用起点终点的直线距离生成Hermite曲线的方法,用该方法生成的曲线能有效地逼近原始曲线.将生成Hermite曲线的方法应用到救援救生视景仿真系统中,根据全局坐标系中建立局部坐标系以确定位姿,同时将坐标系中的位姿用矩阵形式表示,利用起点坐标和终点坐标计算得到控制点坐标,并能够保证虚拟人可以运动到终点位置.结合DOF节点作为控制虚拟人运动的控制点,同时获取正确的DOF节点相对于船的位姿,实现了虚拟人随时间变化沿Hermite曲线在摇晃的船上运动.     

Spatial-temporal analysis of safety risks in trajectories of construction workers based on complex network theory

Understanding the traffic patterns of construction workers on high-risk construction sites is important for implementing behaviour-based safety management. However, safety risks in worker trajectories are a complex system with high uncertainty. This resulted in few studies focusing on analysing the spatial–temporal risk in workers' trajectories from a systematic perspective. This study designs a new framework to explore the spatial–temporal patterns of safety risks in the trajectories of construction workers based on complex network theory. First, an integrated site safety risk classification method by combining hazard sources and group trajectory distribution is developed to accurately describe the spatial distribution of site risks. Second, a new complex network chronnet is used to construct complex networks containing risk information for spatial–temporal analysis. Finally, key risk areas and risk transition patterns are identified through the analysis of network measures. The study also developed a computational program that allows the network to be constructed and analysed in real-time. The feasibility and effectiveness of the method are verified through a case study. The results show that the method can reveal the risk distribution at the micro level, and explore the risk clustering and transition features in worker trajectories at the macro level. The study allows for an accurate analysis of dynamic risk patterns in construction workers' trajectories from a systematic perspective. It can also provide theoretical and practical support for personalized and adaptive behaviour-based safety management for construction workers.