The impact of CCT on driving safety in the normal and accident situation: A VR-based experimental study

Correlated color temperature (CCT) of the light source inside the road tunnel plays a crucial role in ensuring driving safety, which is demonstrated by previous studies that CCT influences not only visual effects but also non-visual effects. Although conventional laboratory experiments could simulate the CCT environment inside the tunnel to some extent, they fail to restore driving experience, let alone simulate driving behavior in the accident situation. It has largely remained unclear whether and how CCT would influence visual/non-visual performance of the subjects who are performing driving tasks, especially in the accident situation. Motivated by this gap, a virtual-reality-based framework for assessing the influence of CCT on the visual and non/visual performance in normal driving situation and in accident situation was proposed. In this study, tunnel models under seven different CCTs were created and a rear-end accident was designed in the tunnel. By integrating analog driving equipment, all participants were required to perform virtual driving tasks both in the normal situation and in the accident situation. The non-visual performance (driving fatigue) and the visual performance (reaction time) of the participants were collected and analyzed. Results show that the CCT of light source inside the tunnel was significant on the driving fatigue of the driver who was performing driving task, and it also had a significant impact on the visual performance when the driver was faced with a rear-end accident. Detailed experimental methodology, behavioral explanations underlying these findings, validity of results and practical implications are also discussed in the paper.     

Teaching and Learning Crystal structures through Virtual Reality based systems

Teaching and learning through Virtual Reality(VR) is an emerging technology in the last few years. In this article, the development and use of a VR based teaching–learning system for crystal structures are discussed. The VR system is designed as a lab environment where a user can do experiments related to crystal structures. The VR system is designed in Unity,¹ and Oculus Rift S² is used as a VR headset. Currently, the system consists of three phases; in the first phase user can visualize the crystal lattice structures, wherein the second one a user can visualize the light interaction with the crystal lattice structure using a virtual torch ray. The third phase is the X-ray Diffraction (XRD) experiment. In this phase, users can perform the XRD experiment in the lab environment by taking a random crystal from a crystal dispenser machine and placing it in the X-ray machine which identifies the chosen crystalline material and analyses the unit cell. The incident ray colour changes when there is a peak found in the crystal for a better understanding of the user. There is also an interactive display where users can increase/decrease the angles of the radiation and also lock and unlock the experiment to view the diffraction plot for the crystal structure. In many cases, it was found that XRD and the crystal structure is available in the course syllabus but there are no experiments to enhance their learning. Therefore an experiment with 39 participants was performed where the maximum participants are new to crystallography. The study was conducted in two phases; in the first phase, participants are asked to watch video tutorials of the topic followed by questionnaires; in the second phase participants are asked to do the VR based experiment and followed by questionnaires related to overall study and experiment. From the analysis of the study we found that everyone found VR based teaching methods are better than traditional book/video studies. Study results give an average score of 56.74% in comparison to VR based learning approach with an average score of 93.81%. Participants who took part in the experiment found the experience interactive and motivating and found it helpful to learn elusive concepts, which can be learned when simulated. For example, one participant wrote: “The VR experience was surreal and was easy to control. Lucid user experience. Got a view of XRD like never seen before”.     

考虑用户偏好和平台收益的共享泊位分配模型

与机动车数量激增类似,泊位短缺也是导致城市交通拥堵主要问题之一,在不增加车位的情况下提高泊车位利用率也是解决交通拥堵的一种方法。针对城市“泊车难”和部分泊车场利用率较低的问题,考虑了用户的偏好特征,研究了一种具有用户偏好的泊车位共享策略。考虑存在三种不同的泊车方式,在中央商务区（CBD）等待泊车、共享私人泊位、共享公共泊位,运用累积前景理论分析用户的泊车成本,发现用户在不同情形下的选择存在差异。平台通过对关键路径法修改,采用了偏好分组法进行分配。算例对偏好分组的结果与采用关键路径法的分配结果进行了比较,结果表明,基于偏好分组法的分配满足了更多的用户需求,平台收益更高,为管理者提供决策参考。     

网络中多节点故障定位的探测路径选择算法

针对现有故障定位技术不能满足多节点故障定位的要求,尤其当网络中存在大量故障节点时,提出了一种基于主动探测的探测路径选择算法。该算法主要包括用于故障检测的贪婪路径选择算法和用于故障定位的禁忌链路搜索算法。在故障检测阶段,使用贪婪路径选择算法迭代地选择具有最小权重的探测路径覆盖网络中的节点。在故障定位阶段,使用禁忌链路搜索算法多次生成候选路径集以选择最合适的探测路径来解决多节点故障定位问题。在随机网络拓扑和真实网络拓扑上的仿真结果表明,与现有的节点故障定位算法相比,探测路径选择算法具有更高的成功定位率和更低的探测成本。     

基于多层注意力机制—柔性AC算法的机器人路径规划

针对行动者—评论家（AC）算法存在的经验学习样本维度高、策略梯度模型鲁棒性低等问题,依据多代理系统的信息协作优势,构建注意力机制网络并作为代理体,引入多层并行注意力机制网络模型对AC算法进行改进,提出一种基于多层并行注意力机制的柔性AC算法。将其用于解决动态未知环境下的机器人路径规划问题,可增强行动者的策略梯度鲁棒性并降低评论家的回归误差,实现机器人路径规划最优方案的快速收敛。实验结果表明,该算法有效克服机器人路径规划的局部最优,具有计算速度快、稳定收敛的优点。     

SFT中的因素作用路径与作用历史

为了描述SFT中系统或元件在不同工作环境状态下经历变化的特征,提出了因素作用路径和作用历史的概念。作用路径描述系统或元件在不同工作状态变化过程中所经历状态的集合。作用历史描述经历作用路径过程中的可积累状态量。给出使用作用路径和作用历史分析问题的步骤。列举一例子,计算在设定条件下的元件维护成本。计算作用路径分别为AB和ACB两种,作用历史中使元件故障概率等于20%的维护成本,该维护成本是通过调整使用时间t和使用温度c产生的。最后给出以实例为背景的作用历史计算方法的不足、面临的问题和可能的解决方法。     

基于二分内包围盒的玉米光照逆光线跟踪算法

为了在玉米仿真中构建逼真有效的光环境,提出一种基于二分内包围盒的玉米光照逆光线跟踪算法。首先,在玉米表面建立二分内包围盒进行预处理,减少光线与玉米相交运算量;其次,引入遮挡因子简化光能计算的复杂度;最后,通过调整光能阈值达到光环境逼真度和算法效率的统一。为了验证算法的快速有效性,建立玉米模型,对比不同包围盒求交运算的速率,得出二分内包围盒的求交速度最快,逆光线跟踪算法模拟出的玉米生长效果较为逼真。     

复杂直纹面加工中电极丝中心轨迹的求取算法研究

针对电火花线切割加工复杂直纹面的问题，以直纹面理论为基础，从实际加工要求出发，提出了求取电极丝中心轨迹的“广义电极丝”模型。分析了直导线直纹面电极丝中心轨迹的变化趋势，计算结果表明直接用电极丝中心轨迹两端点的连线近似表示该中心轨迹是欠妥的，为提高代码精度应对求取的电极丝中心轨迹进行同步线性化处理。     

并联机床的历史、现状及展望

本文介绍了并联机床的基本概念、分类方法及其基本特性，详细地阐述了并联机床在国内外的发展历史、研究状况以及关键基础零部件的发展状况，在此基础上，分析了并联机床结构上的优缺点，表明了并联机床走向实用化所面临的一些问题，本文的最后对并联机床的发展趋势作了展望。     

基于Pro/E的原子滑车底盘虚拟设计技术研究

原子滑车作为一种大型的高空翻滚滑行游艺机，是一种吸引入的、冒险的、令人兴奋的娱乐形式，其设计是一个很庞大的系统工程。探讨了基于虚拟样机技术的原子滑车设计技术，介绍了用Pro/E软件对原子滑车底盘进行虚拟设计，构建产品的数字化模型，进行虚拟装配过程仿真。该技术的应用，缩短了产品的开发周期，提高了生产效率。