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| 1 | Tunnel vision optimization method for VR flood scenes based on Gaussian blur显示文摘The visualization of flood disasters in virtual reality(VR)scenes is useful for the representation and sharing of disaster knowledge and can effectively improve users’cognitive efficiency in comprehending disaster information.However,the existing VR methods of visualizing flood disaster scenes have some shortcomings,such as low rendering efficiency and poor user experience.In this paper,a tunnel vision optimization method for VR flood scenes based on Gaussian blur is proposed.The key techniques are studied,such as region of interest(ROI)calculation and tunnel vision optimization considering the characteristics of the human visual system.A prototype system has been developed and used to carry out an experimental case analysis.The experimental results show that the number of triangles drawn in a flood VR scene is reduced by approximately 30%–40%using this method and that the average frame rate is stable at approximately 90 frames per second(fps),significantly improving the efficiency of scene rendering and reducing motion sickness. | Lin Fu Jun Zhu Weilian Li Qing Zhu Bingli Xu Yakun Xie Yunhao Zhang Ya Hu Jingtao Lu Pei Dang Jigang You | 2021 | International Journal of Digital Earth2021，14，7： | 1 |
| 2 | An improved social force model (ISFM)-based crowd evacuation simulation method in virtual reality with a subway fire as a case study显示文摘Crowd evacuation simulation using virtual reality(VR)is significant for digital emergency response construction.However,existing evacuation simulation studies suffer from poor adaptation to complex environments,inefficient evacuations,and poor simulation effects and do not fully consider the impacts of specific disaster environments on crowd evacuation.To more realistically express the crowd evacuation results obtained under the influence offire environments and the subjective consciousness of pedestrians in subway stations,we designed a dynamic pedestrian evacuation path planning method under multiple constraints,analysed the influences of an‘environmental role’and a‘subjective initiative’on crowd evacuation,established an improved social force model(ISFM)-based crowd evacuation simulation method in VR,developed a prototype system and conducted experimental analyses.The experimental results show that the crowd evacuation time of the ISFM is affected by the disaster severity.In simulation experiments without disaster scenarios,the improved model’s crowd evacuation efficiency improved by averages of 12.53%and 15.37%over the commercial Pathfinder software and the original social force model,respectively.The method described herein can effectively support real-time VR crowd evacuation simulation under multiexit and multifloor conditions and can provide technical support for emergency evacuation learning and management decision analyses involving subwayfires. | Jinbin Zhang Jun Zhu Pei Dang Jianlin Wu Yuxuan Zhou Weilian Li Lin Fu Yukun Guo Jigang You | 2023 | International Journal of Digital Earth2023，16，1： | 1 |
| 3 | Bioorthogonal microglia-inspired mesenchymal stem cell bioengineering system creates livable niches for enhancing ischemic stroke recovery via the hormesis显示文摘Mesenchymal stem cells(MSCs)experience substantial viability issues in the stroke infarct region,limiting their therapeutic efficacy and clinical translation.High levels of deadly reactive oxygen radicals(ROS)and proinflammatory cytokines(PC)in the infarct milieu kill transplanted MSCs,whereas low levels of beneficial ROS and PC stimulate and improve engrafted MSCs’viability.Based on the intrinsic hormesis effects in cellular biology,we built a microglia-inspired MSC bioengineering system to transform detrimental high-level ROS and PC into vitality enhancers for strengthening MSC therapy.This system is achieved by bioorthogonally arming metabolic glycoengineered MSCs with microglial membrane-coated nanoparticles and an antioxidative extracellular protective layer.In this system,extracellular ROSscavenging and PC-absorbing layers effectively buffer the deleterious effects and establish a microlivable niche at the level of a single MSC for transplantation.Meanwhile,the infarct’s inanimate milieu is transformed at the tissue level into a new living niche to facilitate healing.The engineered MSCs achieved viability five times higher than natural MSCs at seven days after transplantation and exhibited a superior therapeutic effect for stroke recovery up to 28 days.This vitality-augmented system demonstrates the potential to accelerate the clinical translation of MSC treatment and boost stroke recovery. | Jianpei Xu Yinzhe Sun Yang You Yuwen Zhang Dan Huang Songlei Zhou Yipu Liu Shiqiang Tong Fenfen Ma Qingxiang Song Chengxiang Dai Suke Li Jigang Lei Zhihua Wang Xiaoling Gao Jun Chen | 2024 | Acta Pharmaceutica Sinica B2024，14，3： | 0 |
| 4 | A dynamic holographic modelling method of digital twin scenes for bridge construction显示文摘Holographic projection technology can provide a more intuitive and efficient visualization effect for a digital twin bridge construction scene.However,pre-rendering methods in the existing research work are usually used to implement holographic visualization,which is static display.The above-mentioned methods for static display have many shortcomings,such as poor adaptability,low rendering efficiency and lack of real-time.A dynamic holographic modelling approach is proposed for the augmented visualization of digital twin scenes for bridge construction.Firstly,a dynamic segmentation algorithm with adaptive screen size was designed to high-efficiently generate holographic scenes.Secondly,a motion blur control method was designed to improve the rendering efficiency of holographic scenes according to human visual characteristics.Finally,a prototype system was developed,and the corresponding experimental analysis was completed.The experimental results show that the method proposed in this article can support adaptive screen size image segmentation and real-time generation of holographic scenes for bridge construction.The amount of scene data can be reduced to more than 30%,which significantly improves rendering efficiency and reduces glare. | Jianlin Wu Jun Zhu Jinbin Zhang Pei Dang Weilian Li Yukun Guo Lin Fu Jianbo Lai Jigang You YaKun Xie Ce Liang | 2023 | International Journal of Digital Earth2023，16，1： | 0 |
| 5 | ROl-constrained visualization of flood scenes to improve perception efficiency显示文摘Efficient and intuitive representation of floods can improve people's perception,which is useful for flood emergency management_and decision making.However,the current methods of visualizing flood disaster scenes have the shortcomings of data redundancy and low-efficiency.The interference of the complex background can be avoided through region of interest(ROl)extraction,because the attention will be quickly attracted by a few salient visual objects.First,the characteristics of the flood disaster scene object are analysed,and the method for scene division and data organization is established.Second,the region of interest is extracted according to the time series data of the flood evolution process simulated using cellular automata,and the dynamic identification model of the objects of interest is established.Then,a dynamic scheduling queue model with service interruption is designed to optimize the rendering efficiency of flood scenes and improve the perception efficiency.Finally,a prototype visualization system was developed and the experimental results show that approximately 30%of the redundant data are reduced,and the scene rendering efficiency is increased by approximately 15%.The non-ROl visualization is weakened by using the rules of human visual cognition,which improves the perception efficiency of flood scenes. | Jigang You Jun Zhu Weilian Li Yukun Guo Lin Fu Pei Dang | 2023 | International Journal of Digital Earth2023，16，1： | 0 |
| 6 | A real 3D scene rendering optimization method based on region of interest and viewing frustum prediction in virtual reality显示文摘As an important technology of digital construction,real 3D models can improve the immersion and realism of virtual reality(VR)scenes.The large amount of data for real 3D scenes requires more effective rendering methods,but the current rendering optimization methods have some defects and cannot render real 3D scenes in virtual reality.In this study,the location of the viewing frustum is predicted by a Kalman filter,and eye-tracking equipment is used to recognize the region of interest(ROI)in the scene.Finally,the real 3D model of interest in the predicted frustum is rendered first.The experimental results show that the method of this study can predict the frustrum location approximately 200 ms in advance,the prediction accuracy is approximately 87%,the scene rendering efficiency is improved by 8.3%,and the motion sickness is reduced by approximately 54.5%.These studies help promote the use of real 3D models in virtual reality and ROI recognition methods.In future work,we will further improve the prediction accuracy of viewing frustums in virtual reality and the application of eye tracking in virtual geographic scenes. | Pei Dang Jun Zhu Jianlin Wu Weilian Li Jigang You Lin Fu Yiqun Shi Yuhang Gong | 2022 | International Journal of Digital Earth2022，15，1： | 0 |
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