Regarding the first of the twenty-four Solar Terms,there has been controversy since the Qin and Han dynasties.Some people think it is the Winter Solstice,while others believe it is the Beginning of Spring.However,whet...Regarding the first of the twenty-four Solar Terms,there has been controversy since the Qin and Han dynasties.Some people think it is the Winter Solstice,while others believe it is the Beginning of Spring.However,whether in traditional agricultural society or contemporary daily life,it is commonly believed that the Beginning of Spring should be the first which is more in line with the change of seasons.展开更多
Having devoted his life to building cultural,educational,and economic ties with China for over three decades,Tom Watkins shares his personal observations and perspectives on China’s latest development and its efforts...Having devoted his life to building cultural,educational,and economic ties with China for over three decades,Tom Watkins shares his personal observations and perspectives on China’s latest development and its efforts to build a community with shared future for all mankind.展开更多
It is not exaggerating to say that almost everybody in China knows about Tong Ren Tang, a traditional Chinese medicine drugstore in Beijing. And even many foreigners, who have never set foot on Chinese soil, know that...It is not exaggerating to say that almost everybody in China knows about Tong Ren Tang, a traditional Chinese medicine drugstore in Beijing. And even many foreigners, who have never set foot on Chinese soil, know that there is the Great Wall in China and a Tong Ren Tang in Beijing. Tong Ren Tang, which was opened in the eighth year (1669) of展开更多
EVERY year in China, one million people take up skiing. China. Skiing. Although the two aren’t yet synonymous, flocks of newly converted devotees, a booming industry and even faint Olympic hopes are snowballing the s...EVERY year in China, one million people take up skiing. China. Skiing. Although the two aren’t yet synonymous, flocks of newly converted devotees, a booming industry and even faint Olympic hopes are snowballing the sport into a cultural phenomenon.The Swiss Alps it isn’t, but the closest ski area to the capital is Nanshan Ski Village. Outfitted展开更多
The widespread application of new technologies,while empowering women with new opportunities,might also put them at disadvantage.For example,in comparison with males,the application of AI might be more likely to cost ...The widespread application of new technologies,while empowering women with new opportunities,might also put them at disadvantage.For example,in comparison with males,the application of AI might be more likely to cost them their jobs.Meanwhile,women are missing out the opportunity to participate in the policy-making process–they are absent from the table.If no change is made in the current policies,we will miss the goal to achieve gender equality,the fifth of the 17 Sustainable Development Goals set for UN’s 2030 Agenda for Sustainable Development,warned elite women scientists with the Organization for Women in Science for the Developing World(OWSD).What shall be done now?How can we make a difference?They are in action to help.展开更多
IN television and film it＇s common to hear the line ＂The moment I saw her, I told myself, ＇She＇s the one!＂ But in the real world, the typical phrase tends to be more along the lines of＂I never thought I would ha...IN television and film it＇s common to hear the line ＂The moment I saw her, I told myself, ＇She＇s the one!＂ But in the real world, the typical phrase tends to be more along the lines of＂I never thought I would have this kind of person as my soul mate.＂ And if you look at the person speaking, you＇ll surely see the glow of happiness on his face.展开更多
目标检测是计算机视觉领域的研究热点和基础任务,其中基于锚点(Anchor)的目标检测已在众多领域得到广泛应用。当前锚点选取方法主要面临两个问题:基于特定数据集的先验取值尺寸固定、面对不同场景泛化能力弱。计算锚框的无监督K-means算...目标检测是计算机视觉领域的研究热点和基础任务,其中基于锚点(Anchor)的目标检测已在众多领域得到广泛应用。当前锚点选取方法主要面临两个问题:基于特定数据集的先验取值尺寸固定、面对不同场景泛化能力弱。计算锚框的无监督K-means算法,受初始值影响较大,对目标尺寸较单一的数据集聚类产生的锚点差异较小,无法充分体现网络多尺度输出的特点。针对上述问题,本文提出一种基于多尺度的目标检测锚点构造方法(multi-scale-anchor,MSA),将聚类产生的锚点根据数据集本身的特性进行尺度的缩放和拉伸,优化的锚点即保留原数据集的特点也体现了模型多尺度的优势。另外,本方法应用在训练的预处理阶段,不增加模型推理时间。最后,选取单阶段主流算法YOLO(You Only Look Once),在多个不同场景的红外或工业场景数据集上进行丰富的实验。结果表明,多尺度锚点优化方法MSA能显著提高小样本场景的检测精度。展开更多
针对无人机航拍图像目标检测中视野变化大、时空信息复杂等问题,文中基于YOLOv5(You Only Look Once Version5)架构,提出基于图像低维特征融合的航拍小目标检测模型.引入CA(Coordinate Attention),改进MobileNetV3的反转残差块,增加图...针对无人机航拍图像目标检测中视野变化大、时空信息复杂等问题,文中基于YOLOv5(You Only Look Once Version5)架构,提出基于图像低维特征融合的航拍小目标检测模型.引入CA(Coordinate Attention),改进MobileNetV3的反转残差块,增加图像空间维度信息的同时降低模型参数量.改进YOLOv5特征金字塔网络结构,融合浅层网络中的特征图,增加模型对图像低维有效信息的表达能力,进而提升小目标检测精度.同时为了降低航拍图像中复杂背景带来的干扰,引入无参平均注意力模块,同时关注图像的空间注意力与通道注意力;引入VariFocal Loss,降低负样本在训练过程中的权重占比.在VisDrone数据集上的实验验证文中模型的有效性,该模型在有效提升检测精度的同时明显降低复杂度.展开更多
针对现有混凝土构件裂缝人工检测操作不仅费时、费力,而且易出现错检、误检、漏检,以及部分位置难以开展检测的问题,提出一种基于深度学习YOLOX(You Only Look Once)算法的混凝土构件裂缝智能化检测方法;首先采集、整理包含各类混凝土...针对现有混凝土构件裂缝人工检测操作不仅费时、费力,而且易出现错检、误检、漏检,以及部分位置难以开展检测的问题,提出一种基于深度学习YOLOX(You Only Look Once)算法的混凝土构件裂缝智能化检测方法;首先采集、整理包含各类混凝土构件的典型裂缝图像,并通过图像数据增强建立Pascal VOC数据集,然后基于Facebook公司开发的深度学习框架Pytorch,利用数据集训练YOLOX算法,并进行裂缝识别和验证;将训练完成后YOLOX算法移植至搭载安卓系统的手机端,进行现场实时检测操作。结果表明:在迭代次数为700时,混凝土构件裂缝识别精度可达88.84%,能有效筛分混凝土构件表面裂缝,并排除其他干扰项,证明了所提出的方法对裂缝具有较高的识别精度和广泛的适用性;经试验测试,移植至手机端的YOLOX算法能在提升便携性的同时保证高效、准确的检测效果,具有良好的应用前景。展开更多
About us:The College of Chemistry and Materials Engineering(CME)in Wenzhou University(Zhejiang Province,China)is looking for postdoctoral candidates(up to 25)specialized in Chemistry,Chemnical Engineering and Material...About us:The College of Chemistry and Materials Engineering(CME)in Wenzhou University(Zhejiang Province,China)is looking for postdoctoral candidates(up to 25)specialized in Chemistry,Chemnical Engineering and Materials Science.The college has its Chemistry program ranking ESI Top 6‰ worldwide,and Materials Science program ranking 589th in the world since 2023.展开更多
Time flies,in the blink of an eye,it is already 2023.The journal Biomedical and Environmental Sciences(BES)has been established for thirty-five years.Today,I am honored to participate in the BES’s 35^(th) anniversary...Time flies,in the blink of an eye,it is already 2023.The journal Biomedical and Environmental Sciences(BES)has been established for thirty-five years.Today,I am honored to participate in the BES’s 35^(th) anniversary symposium,organized by the Chinese Center for Disease Control and Prevention(China CDC).Seeing Director Hongbing Shen,Deputy Director Xiaoming Shi,along colleagues from the center’s affiliated units and departments,as well as fellow researchers,we have come together for this symposium under the theme of“Looking back and looking forward”,I am not only deeply appreciative and thankful,but also envisioning a bright future for BES in the next 35 years.I would like to share my thoughts and hopes under the theme of“Review and Development”.展开更多
Drone or unmanned aerial vehicle(UAV)technology has undergone significant changes.The technology allows UAV to carry out a wide range of tasks with an increasing level of sophistication,since drones can cover a large ...Drone or unmanned aerial vehicle(UAV)technology has undergone significant changes.The technology allows UAV to carry out a wide range of tasks with an increasing level of sophistication,since drones can cover a large area with cameras.Meanwhile,the increasing number of computer vision applications utilizing deep learning provides a unique insight into such applications.The primary target in UAV-based detection applications is humans,yet aerial recordings are not included in the massive datasets used to train object detectors,which makes it necessary to gather the model data from such platforms.You only look once(YOLO)version 4,RetinaNet,faster region-based convolutional neural network(R-CNN),and cascade R-CNN are several well-known detectors that have been studied in the past using a variety of datasets to replicate rescue scenes.Here,we used the search and rescue(SAR)dataset to train the you only look once version 5(YOLOv5)algorithm to validate its speed,accuracy,and low false detection rate.In comparison to YOLOv4 and R-CNN,the highest mean average accuracy of 96.9%is obtained by YOLOv5.For comparison,experimental findings utilizing the SAR and the human rescue imaging database on land(HERIDAL)datasets are presented.The results show that the YOLOv5-based approach is the most successful human detection model for SAR missions.展开更多
The United States appears poised to use the Hawaii APEC Summit to bolster its presence in the Asia Pacific The United States will host the 19th APEC Economic Leaders’ Meeting in Honolulu,
The Lunar New Year has increasingly become a common festival of people throughout the world.CHINESE people,and people throughout the world,are looking forward to welcoming the Year of the Dragon,which falls on Februar...The Lunar New Year has increasingly become a common festival of people throughout the world.CHINESE people,and people throughout the world,are looking forward to welcoming the Year of the Dragon,which falls on February 10,2024.The Dragon is considered the most auspicious of the 12 signs in the Chinese zodiac and this year is specifically the Year of the Wood Dragon,the first since 1964.According to Lifestyle Asia,“Wood Dragons enjoy fulfilling careers.They’re likely to materialize all their ambitions into actions,coming up with truly revolutionary ideas.”展开更多
I was pleasantly surprised when visiting the new Louvre Museum in Abu Dhabi,magnificently designed,and created by the great French architect Jean Nouvel to prove the creative force of the world's diverse civilisat...I was pleasantly surprised when visiting the new Louvre Museum in Abu Dhabi,magnificently designed,and created by the great French architect Jean Nouvel to prove the creative force of the world's diverse civilisations.All of them are represented in this imaginative space on the island of Saadiyat overlooking the Persian Gulf.展开更多
文摘Regarding the first of the twenty-four Solar Terms,there has been controversy since the Qin and Han dynasties.Some people think it is the Winter Solstice,while others believe it is the Beginning of Spring.However,whether in traditional agricultural society or contemporary daily life,it is commonly believed that the Beginning of Spring should be the first which is more in line with the change of seasons.
文摘Having devoted his life to building cultural,educational,and economic ties with China for over three decades,Tom Watkins shares his personal observations and perspectives on China’s latest development and its efforts to build a community with shared future for all mankind.
文摘It is not exaggerating to say that almost everybody in China knows about Tong Ren Tang, a traditional Chinese medicine drugstore in Beijing. And even many foreigners, who have never set foot on Chinese soil, know that there is the Great Wall in China and a Tong Ren Tang in Beijing. Tong Ren Tang, which was opened in the eighth year (1669) of
文摘EVERY year in China, one million people take up skiing. China. Skiing. Although the two aren’t yet synonymous, flocks of newly converted devotees, a booming industry and even faint Olympic hopes are snowballing the sport into a cultural phenomenon.The Swiss Alps it isn’t, but the closest ski area to the capital is Nanshan Ski Village. Outfitted
文摘The widespread application of new technologies,while empowering women with new opportunities,might also put them at disadvantage.For example,in comparison with males,the application of AI might be more likely to cost them their jobs.Meanwhile,women are missing out the opportunity to participate in the policy-making process–they are absent from the table.If no change is made in the current policies,we will miss the goal to achieve gender equality,the fifth of the 17 Sustainable Development Goals set for UN’s 2030 Agenda for Sustainable Development,warned elite women scientists with the Organization for Women in Science for the Developing World(OWSD).What shall be done now?How can we make a difference?They are in action to help.
文摘IN television and film it＇s common to hear the line ＂The moment I saw her, I told myself, ＇She＇s the one!＂ But in the real world, the typical phrase tends to be more along the lines of＂I never thought I would have this kind of person as my soul mate.＂ And if you look at the person speaking, you＇ll surely see the glow of happiness on his face.
文摘目标检测是计算机视觉领域的研究热点和基础任务,其中基于锚点(Anchor)的目标检测已在众多领域得到广泛应用。当前锚点选取方法主要面临两个问题:基于特定数据集的先验取值尺寸固定、面对不同场景泛化能力弱。计算锚框的无监督K-means算法,受初始值影响较大,对目标尺寸较单一的数据集聚类产生的锚点差异较小,无法充分体现网络多尺度输出的特点。针对上述问题,本文提出一种基于多尺度的目标检测锚点构造方法(multi-scale-anchor,MSA),将聚类产生的锚点根据数据集本身的特性进行尺度的缩放和拉伸,优化的锚点即保留原数据集的特点也体现了模型多尺度的优势。另外,本方法应用在训练的预处理阶段,不增加模型推理时间。最后,选取单阶段主流算法YOLO(You Only Look Once),在多个不同场景的红外或工业场景数据集上进行丰富的实验。结果表明,多尺度锚点优化方法MSA能显著提高小样本场景的检测精度。
文摘针对无人机航拍图像目标检测中视野变化大、时空信息复杂等问题,文中基于YOLOv5(You Only Look Once Version5)架构,提出基于图像低维特征融合的航拍小目标检测模型.引入CA(Coordinate Attention),改进MobileNetV3的反转残差块,增加图像空间维度信息的同时降低模型参数量.改进YOLOv5特征金字塔网络结构,融合浅层网络中的特征图,增加模型对图像低维有效信息的表达能力,进而提升小目标检测精度.同时为了降低航拍图像中复杂背景带来的干扰,引入无参平均注意力模块,同时关注图像的空间注意力与通道注意力;引入VariFocal Loss,降低负样本在训练过程中的权重占比.在VisDrone数据集上的实验验证文中模型的有效性,该模型在有效提升检测精度的同时明显降低复杂度.
文摘针对现有混凝土构件裂缝人工检测操作不仅费时、费力,而且易出现错检、误检、漏检,以及部分位置难以开展检测的问题,提出一种基于深度学习YOLOX(You Only Look Once)算法的混凝土构件裂缝智能化检测方法;首先采集、整理包含各类混凝土构件的典型裂缝图像,并通过图像数据增强建立Pascal VOC数据集,然后基于Facebook公司开发的深度学习框架Pytorch,利用数据集训练YOLOX算法,并进行裂缝识别和验证;将训练完成后YOLOX算法移植至搭载安卓系统的手机端,进行现场实时检测操作。结果表明:在迭代次数为700时,混凝土构件裂缝识别精度可达88.84%,能有效筛分混凝土构件表面裂缝,并排除其他干扰项,证明了所提出的方法对裂缝具有较高的识别精度和广泛的适用性;经试验测试,移植至手机端的YOLOX算法能在提升便携性的同时保证高效、准确的检测效果,具有良好的应用前景。
文摘About us:The College of Chemistry and Materials Engineering(CME)in Wenzhou University(Zhejiang Province,China)is looking for postdoctoral candidates(up to 25)specialized in Chemistry,Chemnical Engineering and Materials Science.The college has its Chemistry program ranking ESI Top 6‰ worldwide,and Materials Science program ranking 589th in the world since 2023.
文摘Time flies,in the blink of an eye,it is already 2023.The journal Biomedical and Environmental Sciences(BES)has been established for thirty-five years.Today,I am honored to participate in the BES’s 35^(th) anniversary symposium,organized by the Chinese Center for Disease Control and Prevention(China CDC).Seeing Director Hongbing Shen,Deputy Director Xiaoming Shi,along colleagues from the center’s affiliated units and departments,as well as fellow researchers,we have come together for this symposium under the theme of“Looking back and looking forward”,I am not only deeply appreciative and thankful,but also envisioning a bright future for BES in the next 35 years.I would like to share my thoughts and hopes under the theme of“Review and Development”.
文摘Drone or unmanned aerial vehicle(UAV)technology has undergone significant changes.The technology allows UAV to carry out a wide range of tasks with an increasing level of sophistication,since drones can cover a large area with cameras.Meanwhile,the increasing number of computer vision applications utilizing deep learning provides a unique insight into such applications.The primary target in UAV-based detection applications is humans,yet aerial recordings are not included in the massive datasets used to train object detectors,which makes it necessary to gather the model data from such platforms.You only look once(YOLO)version 4,RetinaNet,faster region-based convolutional neural network(R-CNN),and cascade R-CNN are several well-known detectors that have been studied in the past using a variety of datasets to replicate rescue scenes.Here,we used the search and rescue(SAR)dataset to train the you only look once version 5(YOLOv5)algorithm to validate its speed,accuracy,and low false detection rate.In comparison to YOLOv4 and R-CNN,the highest mean average accuracy of 96.9%is obtained by YOLOv5.For comparison,experimental findings utilizing the SAR and the human rescue imaging database on land(HERIDAL)datasets are presented.The results show that the YOLOv5-based approach is the most successful human detection model for SAR missions.
文摘The United States appears poised to use the Hawaii APEC Summit to bolster its presence in the Asia Pacific The United States will host the 19th APEC Economic Leaders’ Meeting in Honolulu,
文摘The Lunar New Year has increasingly become a common festival of people throughout the world.CHINESE people,and people throughout the world,are looking forward to welcoming the Year of the Dragon,which falls on February 10,2024.The Dragon is considered the most auspicious of the 12 signs in the Chinese zodiac and this year is specifically the Year of the Wood Dragon,the first since 1964.According to Lifestyle Asia,“Wood Dragons enjoy fulfilling careers.They’re likely to materialize all their ambitions into actions,coming up with truly revolutionary ideas.”
文摘I was pleasantly surprised when visiting the new Louvre Museum in Abu Dhabi,magnificently designed,and created by the great French architect Jean Nouvel to prove the creative force of the world's diverse civilisations.All of them are represented in this imaginative space on the island of Saadiyat overlooking the Persian Gulf.
