The elderly's perception of their environment largely depends on acquired visual information.This study provides a quantitative analytical method for designing bedrooms in nursing homes by developing a computation...The elderly's perception of their environment largely depends on acquired visual information.This study provides a quantitative analytical method for designing bedrooms in nursing homes by developing a computational model that uses viewing distance,viewing angle,and viewing field as variables.The model is utilized to measure a range of visual environmental properties,including privacy,accessibility,permeability,and visibility,which reflect the quality of bedrooms in nursing homes.The suitability levels of bedroom planes for the elderly and their main living functions as well as the fitting degree of the functional layout are calculated based on these data.After validating the computational moders feasibility,this study optimizes the typical schemes of single and double rooms in nursing homes.Results reveal certain advantages of the arrangement where bathroom doors are set toward the inside of the bedroom and double rooms have a large width.The computational model can be used in measuring the spatial quality of bedrooms in nursing homes and as a mathematical model for related algorithm design and software programming to assist in the design and optimization of bedrooms for the elderly.展开更多
This research documents and visualizes the intricate relationships among sunlight,built form,and public life specifically within Toronto’s core.Utilizing photographs and stop-motion videos,the study captured the dyna...This research documents and visualizes the intricate relationships among sunlight,built form,and public life specifically within Toronto’s core.Utilizing photographs and stop-motion videos,the study captured the dynamic movement of sunlight and observed corresponding differences in human behavior under varying light conditions.Maps and diagrams,generated using Rhino3D/Ladybug software,were employed to visualize the annual sunlight conditions throughout the defined study area.Building upon existing scholarship,this research affirms a strong relationship between sunlight and public life,noting that this relationship shifts with the changing seasons.The study concludes with a series of recommendations focused on the protection,expansion,and intensification of public space exposed to winter sunlight,particularly along pedestrian-oriented shopping streets,and advocates for the strategic use of large deciduous trees to manage sunlight across different seasons.The rapid transformation of downtown Toronto’s built form necessitates swift action to address these issues.While the research and its recommendations are centered on Toronto,they are potentially applicable to other cities that share similar climates,sunlight conditions,and built environments.展开更多
Long-time driving and monotonous visual environment increase the safety risk of driving in an extra-long tunnel.Driving fatigue can be effectively relieved by setting the visual fatigue relief zone in the tunnel.Howev...Long-time driving and monotonous visual environment increase the safety risk of driving in an extra-long tunnel.Driving fatigue can be effectively relieved by setting the visual fatigue relief zone in the tunnel.However,the setting form of visual fatigue relief zone,such as its length and location,is difficult to be designed and quantified.By integrating virtual reality(VR)apparatus with wearable electroencephalogram(EEG)-based devices,a hybrid method was proposed in this study to assist analyzers to formulate the layout of visual fatigue relief zone in the extra-long tunnel.The virtual environment of this study was based on an 11.5 km extra-long tunnel located in Yunnan Province in China.The results indicated that the use of natural landscape decoration inside the tunnel could improve driving fatigue with the growth rate of attention of the driver increased by more than 20%.The accumulation of driving fatigue had a negative effect on the fatigue relief.The results demonstrated that the optimal location of the fatigue relief zone was at the place where driving fatigue had just occurred rather than at the place where a certain amount of driving fatigue had accumulated.展开更多
随着物联网技术的快速发展,实训室作为高校实践教学的重要场所,面临着日益复杂的安全挑战。传统的安全管理手段已难以满足现代实训室对风险实时感知与动态响应的需求。本研究基于多源数据采集与双通道深度学习模型的实训室安全管理系统...随着物联网技术的快速发展,实训室作为高校实践教学的重要场所,面临着日益复杂的安全挑战。传统的安全管理手段已难以满足现代实训室对风险实时感知与动态响应的需求。本研究基于多源数据采集与双通道深度学习模型的实训室安全管理系统。系统采用“端-边-云”协同架构,结合LoRaWAN与5G双通道通信、改进型随机森林(Improved Random Forest, IRF)与LSTM融合模型,以及基于Drools规则引擎的应急响应机制,实现对实训室环境的多维感知、动态风险预测和智能响应。本研究不仅为实训室安全管理提供新的技术路径,也为物联网在工业安全领域的应用提供可借鉴的系统架构与算法模型。展开更多
Monitoring techniques are a key technology for examining the conditions in various scenarios, e.g., structural conditions, weather conditions, and disasters. In order to understand such scenarios, the appropriate extr...Monitoring techniques are a key technology for examining the conditions in various scenarios, e.g., structural conditions, weather conditions, and disasters. In order to understand such scenarios, the appropriate extraction of their features from observation data is important. This paper proposes a monitoring method that allows sound environments to be expressed as a sound pattern. To this end, the concept of synesthesia is exploited. That is, the keys, tones, and pitches of the monitored sound are expressed using the three elements of color, that is, the hue, saturation, and brightness, respectively. In this paper, it is assumed that the hue, saturation, and brightness can be detected from the chromagram, sonogram, and sound spectrogram, respectively, based on a previous synesthesia experiment. Then, the sound pattern can be drawn using color, yielding a “painted sound map.” The usefulness of the proposed monitoring technique is verified using environmental sound data observed at a galleria.展开更多
Geographical information systems (GIS) are often used to design environmental justice (EJ) policy interventions. Leveraging GIS and other graphics, overburdened EJ communities can learn from maps that geographically l...Geographical information systems (GIS) are often used to design environmental justice (EJ) policy interventions. Leveraging GIS and other graphics, overburdened EJ communities can learn from maps that geographically link environmental burden (EB) and social disparity (SD) data. Visually representing EB and SD data concretizes the unjust distributions of environmental and broader inequitable societal policies. These maps can be used to efficaciously assess EJ disparities created by such policies through exploring socioeconomic characteristics with local communities. Given the great variation in how GIS EJ applications measure and visualize EB and SD, we present a community-based participatory design (CBPD) lens to collaboratively work across overburdened communities and support making EJ data accessible to all stakeholders. Our location proximity approach is a powerful way to assess overburdened EJ communities because it relies on user-predefined boundaries, and it doesn’t use a single fixed unit of reference to prioritize areas of intervention. Moreover, most areal unit applications use ordinal measures, such as percentiles, and multidimensional indexes, which are intelligible to understand by many residents. Leveraging a community-based participatory design methodology, we present our novel Proximity to Hazards Dashboard (PHD) that includes data on asphalt plants and industrial corridors, hazards often missing from state-level dashboards but very relevant for city policymaking, as well as more traditionally used environmental hazard sources. The use of the tool by policymakers and community members suggests that EJ categorization should focus less on procedural benchmarks and more on systemic change for policy impacts in ways that sustain the participatory nature of our approach.展开更多
基金This research received support from the “Research into Basic Space Design Parameters of Disabled Elderly Care in Severe Cold Region on the Basis of Behavioral Experiment”(E2018029)Natural Science Foundation Project of Heilongjiang Province of China.
文摘The elderly's perception of their environment largely depends on acquired visual information.This study provides a quantitative analytical method for designing bedrooms in nursing homes by developing a computational model that uses viewing distance,viewing angle,and viewing field as variables.The model is utilized to measure a range of visual environmental properties,including privacy,accessibility,permeability,and visibility,which reflect the quality of bedrooms in nursing homes.The suitability levels of bedroom planes for the elderly and their main living functions as well as the fitting degree of the functional layout are calculated based on these data.After validating the computational moders feasibility,this study optimizes the typical schemes of single and double rooms in nursing homes.Results reveal certain advantages of the arrangement where bathroom doors are set toward the inside of the bedroom and double rooms have a large width.The computational model can be used in measuring the spatial quality of bedrooms in nursing homes and as a mathematical model for related algorithm design and software programming to assist in the design and optimization of bedrooms for the elderly.
文摘This research documents and visualizes the intricate relationships among sunlight,built form,and public life specifically within Toronto’s core.Utilizing photographs and stop-motion videos,the study captured the dynamic movement of sunlight and observed corresponding differences in human behavior under varying light conditions.Maps and diagrams,generated using Rhino3D/Ladybug software,were employed to visualize the annual sunlight conditions throughout the defined study area.Building upon existing scholarship,this research affirms a strong relationship between sunlight and public life,noting that this relationship shifts with the changing seasons.The study concludes with a series of recommendations focused on the protection,expansion,and intensification of public space exposed to winter sunlight,particularly along pedestrian-oriented shopping streets,and advocates for the strategic use of large deciduous trees to manage sunlight across different seasons.The rapid transformation of downtown Toronto’s built form necessitates swift action to address these issues.While the research and its recommendations are centered on Toronto,they are potentially applicable to other cities that share similar climates,sunlight conditions,and built environments.
基金Project(2018YFB2101000) supported by the National Key R&D Program of ChinaProject(20YF1451400) supported by Shanghai Sailing Program,ChinaProject(SLDRCE19-A-14) supported by the Research Fund of State Key Laboratory for Disaster Reduction in Civil Engineering,China。
文摘Long-time driving and monotonous visual environment increase the safety risk of driving in an extra-long tunnel.Driving fatigue can be effectively relieved by setting the visual fatigue relief zone in the tunnel.However,the setting form of visual fatigue relief zone,such as its length and location,is difficult to be designed and quantified.By integrating virtual reality(VR)apparatus with wearable electroencephalogram(EEG)-based devices,a hybrid method was proposed in this study to assist analyzers to formulate the layout of visual fatigue relief zone in the extra-long tunnel.The virtual environment of this study was based on an 11.5 km extra-long tunnel located in Yunnan Province in China.The results indicated that the use of natural landscape decoration inside the tunnel could improve driving fatigue with the growth rate of attention of the driver increased by more than 20%.The accumulation of driving fatigue had a negative effect on the fatigue relief.The results demonstrated that the optimal location of the fatigue relief zone was at the place where driving fatigue had just occurred rather than at the place where a certain amount of driving fatigue had accumulated.
文摘随着物联网技术的快速发展,实训室作为高校实践教学的重要场所,面临着日益复杂的安全挑战。传统的安全管理手段已难以满足现代实训室对风险实时感知与动态响应的需求。本研究基于多源数据采集与双通道深度学习模型的实训室安全管理系统。系统采用“端-边-云”协同架构,结合LoRaWAN与5G双通道通信、改进型随机森林(Improved Random Forest, IRF)与LSTM融合模型,以及基于Drools规则引擎的应急响应机制,实现对实训室环境的多维感知、动态风险预测和智能响应。本研究不仅为实训室安全管理提供新的技术路径,也为物联网在工业安全领域的应用提供可借鉴的系统架构与算法模型。
文摘Monitoring techniques are a key technology for examining the conditions in various scenarios, e.g., structural conditions, weather conditions, and disasters. In order to understand such scenarios, the appropriate extraction of their features from observation data is important. This paper proposes a monitoring method that allows sound environments to be expressed as a sound pattern. To this end, the concept of synesthesia is exploited. That is, the keys, tones, and pitches of the monitored sound are expressed using the three elements of color, that is, the hue, saturation, and brightness, respectively. In this paper, it is assumed that the hue, saturation, and brightness can be detected from the chromagram, sonogram, and sound spectrogram, respectively, based on a previous synesthesia experiment. Then, the sound pattern can be drawn using color, yielding a “painted sound map.” The usefulness of the proposed monitoring technique is verified using environmental sound data observed at a galleria.
文摘Geographical information systems (GIS) are often used to design environmental justice (EJ) policy interventions. Leveraging GIS and other graphics, overburdened EJ communities can learn from maps that geographically link environmental burden (EB) and social disparity (SD) data. Visually representing EB and SD data concretizes the unjust distributions of environmental and broader inequitable societal policies. These maps can be used to efficaciously assess EJ disparities created by such policies through exploring socioeconomic characteristics with local communities. Given the great variation in how GIS EJ applications measure and visualize EB and SD, we present a community-based participatory design (CBPD) lens to collaboratively work across overburdened communities and support making EJ data accessible to all stakeholders. Our location proximity approach is a powerful way to assess overburdened EJ communities because it relies on user-predefined boundaries, and it doesn’t use a single fixed unit of reference to prioritize areas of intervention. Moreover, most areal unit applications use ordinal measures, such as percentiles, and multidimensional indexes, which are intelligible to understand by many residents. Leveraging a community-based participatory design methodology, we present our novel Proximity to Hazards Dashboard (PHD) that includes data on asphalt plants and industrial corridors, hazards often missing from state-level dashboards but very relevant for city policymaking, as well as more traditionally used environmental hazard sources. The use of the tool by policymakers and community members suggests that EJ categorization should focus less on procedural benchmarks and more on systemic change for policy impacts in ways that sustain the participatory nature of our approach.
