ED-Ged:Nighttime Image Semantic Segmentation Based on Enhanced Detail and Bidirectional Guidance

Semantic segmentation of driving scene images is crucial for autonomous driving.While deep learning technology has significantly improved daytime image semantic segmentation,nighttime images pose challenges due to factors like poor lighting and overexposure,making it difficult to recognize small objects.To address this,we propose an Image Adaptive Enhancement(IAEN)module comprising a parameter predictor(Edip),multiple image processing filters(Mdif),and a Detail Processing Module(DPM).Edip combines image processing filters to predict parameters like exposure and hue,optimizing image quality.We adopt a novel image encoder to enhance parameter prediction accuracy by enabling Edip to handle features at different scales.DPM strengthens overlooked image details,extending the IAEN module’s functionality.After the segmentation network,we integrate a Depth Guided Filter(DGF)to refine segmentation outputs.The entire network is trained end-to-end,with segmentation results guiding parameter prediction optimization,promoting self-learning and network improvement.This lightweight and efficient network architecture is particularly suitable for addressing challenges in nighttime image segmentation.Extensive experiments validate significant performance improvements of our approach on the ACDC-night and Nightcity datasets.

High-quality Development of the Pearl River Night Tour in the Context of Deep Integration of Culture and Tourism

Urban night tourism is a new form of urban tourism development and an important driving force for the prosperity of urban night economy.As the most prestigious business card among many night tour projects in Guangzhou,the Pearl River water night tour has contributed to the development of Guangzhou s night economy,which cannot be underestimated.However,in the process of rapid development,there are also problems such as diversified operators,insufficient integration of intangible cultural elements,excessive commercial attributes,issues of tourism facilities and service facilities.Under the new stage of integrated development of culture and tourism,how to use mutual promotion of culture and tourism in the Pearl River night tour to seek innovative paths for high-quality development in the future is the main problem expected to be solved in this paper.Therefore,based on the perspective of culture and tourism integration,this paper analyzes the general situation and development status of the Pearl River night tour,and proposes five development strategies:the overall planning of culture and tourism integration,the deep integration of intangible cultural elements,the balance of commercial attributes and tourism attributes,the high integration of culture,business,tourism and education,and the creation of tourism atmosphere,in order to provide inspiration for the healthy,orderly and high-quality development of the Pearl River night tour.

Strategies for Applying LED Lights in Night Space Lighting for Bridges

LED lights have been widely used in urban night space lighting in recent years as they are small,energy-saving,and efficient.This article explores the use of LEDs in bridge night space lighting and their application strategies.The aim is to offer valuable insights and references for urban planners and bridge lighting designers in China.By advancing the application of LED technology in bridge night lighting,the goal is to enhance the city’s nighttime ambiance,making the bridge an iconic landmark and a defining feature of the city.

Short-term night lighting disrupts lipid and glucose metabolism in Zebra Finches:Implication for urban stopover birds

Night lighting has been shown to affect wild animals.To date,the effects of night lighting on the metabolic homeostasis of birds that spend short time in urban environments remain unclear.Using model bird species Zebra Finch(Taeniopygia guttata),we investigated the effects of short-term night lighting on liver transcriptome,blood glucose,triglyceride,and thyroxine(T4 and T3)levels in birds exposed to two different night lighting duration periods(three days and six days).After three days of night lighting exposure,the expression of genes involved in fat synthesis in the liver was upregulated while the expression of genes involved in fatty acid oxidation and triglyceride decomposition was downregulated.There was also a reduction in blood triglyceride,glucose,and T3 concentrations.However,after six days of night lighting,the expression of genes associated with fatty acid decomposition and hyperglycemia in the liver was upregulated,while the expression of genes involved in fat synthesis was downregulated.Simultaneously,blood glucose levels and T3 concentration increased.These findings indicate that short-term exposure to night lighting can disrupt the lipid and glucose metabolism of small passerine birds,and longer stopovers in urban area with intense night lighting may cause birds to consume more lipid energy.

High-quality Development Path of Night Tourism in Guangzhou:A Case Study of Firefly Night Tour

Night tourism often involves a large number of lighting facilities,which consume a large amount of energy.Therefore,one of the unique low energy consumption natural ecological tourism activities—firefly night tour has attracted attention and become an important breakthrough point for night tourism in tourist destinations.In this paper,Guangzhou firefly night tour project is taken as the research object.Based on the comprehensive economic,environmental,and socio-cultural benefits brought by the development of firefly night tour,the resources distribution,current development status,and existing problems of firefly night tour in Guangzhou are analyzed,and its high-quality development paths are proposed from three levels:government,industry,and tourist.The aim is to explore a new model for the economic development of Guangzhou night tour,boosting the transformation and upgrading of the night tourism economy,while also providing reference ideas and value for the development of night tourism economy in other tourist destinations.

Night Economy Glows with New Vitality

According to data from ii-Media Research,China’s night economy has grown rapidly since 2016.By the end of 2020,the scale of China’s night economy had exceeded RMB 30 trillion,an increase of 5.0%over the same period of last year,and it is expected to exceed RMB 48 trillion in 2023.According to the latest survey data of the Ocean Engine City Institute in 2023,more than 60%of respondents will go out for activities or consumption at night,among which citizens in high-speed cities have a higher preference for going out at night because of the relatively perfect urban infrastructure.

Single-image night haze removal based on color channel transfer and estimation of spatial variation in atmospheric light

The visible-light imaging system used in military equipment is often subjected to severe weather conditions, such as fog, haze, and smoke, under complex lighting conditions at night that significantly degrade the acquired images. Currently available image defogging methods are mostly suitable for environments with natural light in the daytime, but the clarity of images captured under complex lighting conditions and spatial changes in the presence of fog at night is not satisfactory. This study proposes an algorithm to remove night fog from single images based on an analysis of the statistical characteristics of images in scenes involving night fog. Color channel transfer is designed to compensate for the high attenuation channel of foggy images acquired at night. The distribution of transmittance is estimated by the deep convolutional network DehazeNet, and the spatial variation of atmospheric light is estimated in a point-by-point manner according to the maximum reflection prior to recover the clear image. The results of experiments show that the proposed method can compensate for the high attenuation channel of foggy images at night, remove the effect of glow from a multi-color and non-uniform ambient source of light, and improve the adaptability and visual effect of the removal of night fog from images compared with the conventional method.

Bonfire Night

In the UK,Bonfire Night or Guy Fawkes Night is celebrated on 5 November and the night skies are filled with colour.It’s a special day in honour of a historic event.

Night Vision Object Tracking System Using Correlation Aware LSTM-Based Modified Yolo Algorithm

Improved picture quality is critical to the effectiveness of object recog-nition and tracking.The consistency of those photos is impacted by night-video systems because the contrast between high-profile items and different atmospheric conditions,such as mist,fog,dust etc.The pictures then shift in intensity,colour,polarity and consistency.A general challenge for computer vision analyses lies in the horrid appearance of night images in arbitrary illumination and ambient envir-onments.In recent years,target recognition techniques focused on deep learning and machine learning have become standard algorithms for object detection with the exponential growth of computer performance capabilities.However,the iden-tification of objects in the night world also poses further problems because of the distorted backdrop and dim light.The Correlation aware LSTM based YOLO(You Look Only Once)classifier method for exact object recognition and deter-mining its properties under night vision was a major inspiration for this work.In order to create virtual target sets similar to daily environments,we employ night images as inputs;and to obtain high enhanced image using histogram based enhancement and iterative wienerfilter for removing the noise in the image.The process of the feature extraction and feature selection was done for electing the potential features using the Adaptive internal linear embedding(AILE)and uplift linear discriminant analysis(ULDA).The region of interest mask can be segmen-ted using the Recurrent-Phase Level set Segmentation.Finally,we use deep con-volution feature fusion and region of interest pooling to integrate the presently extremely sophisticated quicker Long short term memory based(LSTM)with YOLO method for object tracking system.A range of experimentalfindings demonstrate that our technique achieves high average accuracy with a precision of 99.7%for object detection of SSAN datasets that is considerably more than that of the other standard object detection mechanism.Our approach may therefore satisfy the true demands of night scene target detection applications.We very much believe that our method will help future research.

基于夜游行为特征的夜游产品优化策略研究——以马鞍山市为例

文章选取马鞍山市若干个典型地点,对本地居民及外地游客的夜游行为特征进行调查,继而提出夜游产品优化策略:打造文化内涵丰富的特色街巷,优化夜间旅游环境设施,提升夜间旅游服务质量,细分夜间旅游产品市场,以期实现马鞍山夜游市场的可持续发展。

以提升患者就医体验为导向的中医药特色夜门诊实践探索

满足不同就医人群的需求,提供夜间诊疗服务,是改善患者就医体验的重要途径之一。夜门诊的开设有利于医院科学合理调整门诊空间,整合有限的医疗资源。为了提升患者就医体验,保障患者医疗安全,夜门诊开设需要优化医护技等人员的合理配置,加强医院多部门间的配合联动。浙江省中医院通过前期调研,结合中医医院特色、特长,开设具有中医药特色的夜门诊后,门诊运行效率进一步提高,医疗服务质量得到持续改进,得到患者的一致好评。

术前夜间血压与结肠癌患者腹腔镜微创全结肠系膜切除术后发生并发症的关系

目的探讨术前夜间血压和结肠癌患者腹腔镜微创全结肠系膜切除术后发生并发症的关系。方法选择2017年3月-2023年3月于该院行腹腔镜微创全结肠系膜切除术的174例结肠癌患者。将术前夜间血压下降率≥0%的患者作为下降组,例数为92例;将术前夜间血压下降率<0%的患者作为上升组,例数为82例。分别收集患者在入室时、手术开始即刻、手术开始至30 min后、手术开始至60 min后、手术开始至120 min后和手术完成时的平均动脉压(MAP)。记录患者住院期间术后并发症发生情况;采用多因素Logistic回归模型,分析结肠癌患者行腹腔镜微创全结肠系膜切除术后发生并发症的独立危险因素。结果术前,下降组糖尿病发生率与左心室质量指数明显低于上升组(P<0.05);术前24 h动态血压参数中,两组患者术前夜间舒张压与夜间收缩压比较,差异有统计学意义(P<0.05);两组患者术中MAP各时间点比较,差异均无统计学意义(P>0.05);两组患者手术开始后各时间点MAP明显低于入室时(P<0.05);下降组术后住院时急性肾损伤的发生率为10.87%,明显低于升高组的31.71%(P<0.05);多因素Logistic回归分析结果显示,术前夜间血压上升为结肠癌患者行腹腔镜微创全结肠系膜切除术后发生急性肾损伤的独立危险因素(P<0.05)。结论术前夜间血压上升为结肠癌患者行腹腔镜微创全结肠系膜切除术后发生急性肾损伤的独立危险因素。

不同风格驾驶员眼动特性分析——夜间快速路分流区

为提高驾驶员在夜间快速路分流区换道的安全性,以不同风格的驾驶员为研究对象,分析不同风格驾驶员换道时眼动参数的变化规律。首先在前人研究基础上自编夜间快速路驾驶风格量表,对量表进行信度和Pearson相关系数法的效度检验;然后通过主成分分析法对问卷调查法得出的结果进行分析,得出驾驶风格综合得分量化模型,并使用K均值聚类分析法划分驾驶风格;最后基于眼动仪进行实车试验,获取三种风格驾驶员换道的眼动数据。试验结果表明:谨慎型、一般型、激进型驾驶员对于后视镜平均注视次数占比为48%、27%、25%;对左右两侧的平均累计注视时间占比是31%、25%、19%;平均瞳孔面积占比为56.3%、27.6%、16.1%。试验结果可以为提高驾驶员换道的行车安全性研究提供一定的数据支持。

1990-2020年长三角地区生境质量与夜间灯光的空间关系

基于1990-2020年长三角地区的土地利用数据和夜间灯光数据,运用InVEST生境质量评估模型、双变量空间自相关、相关系数对生境质量与夜间灯光的时空关系进行研究,并应用地理加权回归和归纳法分析两者的响应规律,结果表明:(1)浙江省总体上生境最优且城镇发展最快,安徽省在城镇快速发展的同时生境相对下降最少,生境质量和夜间灯光空间分布格局呈现出与区位、地形等因素的空间耦合性。(2)长三角地区生境质量与夜间灯光指数随着时间的发展空间上的依赖性越来越强,聚类模式主要为高-低、低-高及低-低3种。高-低聚类区域主要分布在浙江省和安徽省的南部、西部的山地丘陵,研究期内呈现缩小的趋势;低-高聚类区域在长三角东部平原区呈集聚分布、北部平原丘陵区呈零散分布,呈现扩张趋势。(3)不同年份各省份生境质量与夜间灯光指数呈显著负相关,且经济越发达的省份,生境质量与夜间灯光指数的负相关关系越强;生境质量与夜间灯光指数呈高度负相关的区县主要分布在长江下游沿岸和浙江省东部,相关性不显著的区县主要分布在安徽省、江苏省的北部,变化类型以负相关关系持续增强型占比最高。(4)生境质量与夜间灯光指数的相关关系随着城市发展呈U型变化,即随着城市发展,生境质量与夜间灯光指数的负相关关系先增强后下降。研究结果可为长三角城市可持续发展、生境调控提供前期基础。

夜景照明亮度比例视觉适宜性评价仿真研究

夜景照明设备的整体亮度跨度较小,且存在很多限高区域,导致环境中整体亮度较差,为了提高夜景照明亮度与人眼视觉的适宜性,提出了夜景照明亮度比例视觉适宜性评价方法。通过夜景照明观测建模数据的标准化处理,采集夜景照明的亮度信息,利用二维数据矩阵分解所得信息,确定夜景照明的环境因素,利用亮度监测模型,计算亮度数据的统计量,完成夜景照明亮度的监测。根据视觉感知的亮度与照明设备亮度之间的关系,计算出光照强度对比度,将驱动电源安装到夜景照明设备中,调节夜景照明亮度比例。将人眼视觉范围划分成多个区域,计算出视觉适宜度判定准则,依据人眼视觉可以承受的亮度与照明亮度的映射关系,定义夜景照明亮度的空间函数,通过夜景照明亮度通道适宜度叠加,实现夜景照明亮度比例视觉适宜性评价。实验结果表明,上述方法适用于夜景照明亮度比例视觉适宜性评价,可以提高评价结果准确性。

关乎衰退的冒险之旅——格吕克诗集《忠贞之夜》中的衰老书写

“衰老”是路易丝·格吕克后期诗作的一大主题,在评论《忠贞之夜》时诗人称其承担了一次宏大的关乎“衰退”的冒险之旅。该文通过文本细读探究诗人如何展现“衰老”主题以及该主题如何折射诗人老年时期的内心世界。结合形式诗学和文化诗学分析,文章认为诗人通过聚焦“旅行”隐喻、重复使用相同意象并融入自身晚年经历,来展现“人”所面对的身体机能衰退、灵感枯竭等内在和外在困境。诗人对衰老或刻意或隐喻的书写,是对人生与艺术的不懈思考。

吕梁山两次夜间暴雨的边界层特征及能量来源与转换

利用常规观测、NCEP/NCAR 1°×1°再分析、FY-2E卫星数据等资料,对分别由β-中尺度持续拉长状对流系统(MβECS)和中尺度对流复合体(MCC)造成的两次吕梁山夜间暴雨过程进行数值模拟和粒子后向轨迹追踪,结果表明:过程1受边界层南风急流和西南气流影响,山西西部低空急流偏西分量和晋中盆地边界层西南气流的增强是对流不稳定能量重建的重要因子。过程2则受边界层南风和东风急流作用,南风急流被显著抬升到对流层中高层,形成含有冰晶层的中高层云系,东风急流则供应低空水汽。两次过程边界层(0.8-1.2 km)粒子携带的水汽均明显超过低层(1.5-3 km),是夜间短时强降水所需水汽的最大贡献者。700 hPa及以上非绝热作用产生扰动有效位能,之后向扰动动能的转化是两次过程中短时强降水发生所需能量的主要来源。

改进YOLOX的夜间安全帽检测算法

安全帽检测是保障建筑施工现场安全的一个有效手段。为保证暗光条件下图像分辨度,塔机吊钩摄像头夜间经常需采集灰度图像。由于摄像头晃动和人员走动,安全帽目标区域还经常会出现模糊现象。为解决模糊灰度图像中目标特征丢失所导致的检测精度下降问题,以YOLOX为基准模型,提出一种用于夜间安全帽检测的特征增强和回归权重自适应YOLOX(feature enhancement and regression weight adaptive,FERWA-YOLOX)算法。算法在输入层增加了融合不同大小感受野的多尺度残差(multi-scale residuals,MSR)模块,在同层网络中融合更多局部特征,降低目标局部模糊带来的影响;在解耦头的分类分支增加并行池化通道注意力(parallel pooling channel attention,PPCA)模块,弥补因目标颜色特征丢失所导致的网络分类能力的下降;设计了一种带双惩罚项的损失函数(double penalty items-Siou,DPI-Siou),自适应地降低形状固定目标的形状损失和模糊目标在回归时的权重,提高网络的检测精度。实验结果表明,FERWA-YOLOX较原YOLOX算法,mAP提升了4.88个百分点,参数量仅提升0.5 MB,且满足夜间实时检测需求。

数字经济发展与城市收缩——来自夜间灯光数据的证据

数字经济正成为社会经济发展的新动能,它对于抑制城市收缩、促进城市协调发展具有深远影响。利用2011—2021年夜间灯光数据,识别城市收缩,并考察数字经济发展对城市收缩的影响。研究发现,数字经济发展可以显著抑制城市收缩;数字经济发展抑制城市收缩的效应在收缩型城市以及市场化水平低、教育水平低的地区表现得更为明显;城市收入差距、产业结构升级、城市创新创业是数字经济发展抑制城市收缩的重要渠道,加强网络基础设施建设会更有利于数字经济抑制城市严重收缩。进一步研究发现,数字经济发展对城市收缩的影响具有门槛效应,即当数字经济发展达到一定水平后,它对城市收缩的抑制作用才会显现,同时抑制作用具有边际报酬递增的后发性优势。本研究有助于揭示数字经济发展影响城市收缩的作用机制,对于如何利用数字经济有效抑制城市收缩提供了经验支持。

美国公共图书馆夜间服务实践调研及启示

文章选取美国排名前25的公共图书馆作为研究对象,对美国公共图书馆夜间服务实践展开网络调研,从服务群体、服务空间和读者活动三方面分析了美国公共图书馆的夜间服务现状及服务特点。基于研究结果阐述了对我国公共图书馆夜间服务高质量发展的启示:创新思维,积极策划服务项目;细分受众,精准把控用户需求;吸引社会力量,加强跨界融合;深挖地域特色文化,打造夜间经济文化IP。