Since the Beijing 2022 Winter Olympics was the first Winter Olympics in history held in continental winter monsoon climate conditions across complex terrain areas,there is a deficiency of relevant research,operational...Since the Beijing 2022 Winter Olympics was the first Winter Olympics in history held in continental winter monsoon climate conditions across complex terrain areas,there is a deficiency of relevant research,operational techniques,and experience.This made providing meteorological services for this event particularly challenging.The China Meteorological Administration(CMA)Earth System Modeling and Prediction Centre,achieved breakthroughs in research on short-and medium-term deterministic and ensemble numerical predictions.Several key technologies crucial for precise winter weather services during the Winter Olympics were developed.A comprehensive framework,known as the Operational System for High-Precision Weather Forecasting for the Winter Olympics,was established.Some of these advancements represent the highest level of capabilities currently available in China.The meteorological service provided to the Beijing 2022 Games also exceeded previous Winter Olympic Games in both variety and quality.This included achievements such as the“100-meter level,minute level”downscaled spatiotemporal resolution and forecasts spanning 1 to 15 days.Around 30 new technologies and over 60 kinds of products that align with the requirements of the Winter Olympics Organizing Committee were developed,and many of these techniques have since been integrated into the CMA’s operational national forecasting systems.These accomplishments were facilitated by a dedicated weather forecasting and research initiative,in conjunction with the preexisting real-time operational forecasting systems of the CMA.This program represents one of the five subprograms of the WMO’s high-impact weather forecasting demonstration project(SMART2022),and continues to play an important role in their Regional Association(RA)II Research Development Project(Hangzhou RDP).Therefore,the research accomplishments and meteorological service experiences from this program will be carried forward into forthcoming highimpact weather forecasting activities.This article provides an overview and assessment of this program and the operational national forecasting systems.展开更多
高精度、高分辨率的地形地貌数据是活动构造定量研究的基础。摄影测量方法的出现和快速发展为获取高精度地形地貌数据提供了一种经济有效的技术手段。相比于传统的测量方法,摄影测量方法可在大范围内同时进行,不受地面通视条件的限制,...高精度、高分辨率的地形地貌数据是活动构造定量研究的基础。摄影测量方法的出现和快速发展为获取高精度地形地貌数据提供了一种经济有效的技术手段。相比于传统的测量方法,摄影测量方法可在大范围内同时进行,不受地面通视条件的限制,且测量成本相对较低。尤其近年来,随着计算机视觉理论及高效的自动特征匹配算法的发展,一种名为"Structure from Motion"(SfM)的三维重建技术被引入摄影测量方法中,极大地提高了摄影测量的自动化程度。文中介绍了摄影测量方法的基本原理及发展历程,并综述了摄影测量方法在活动构造研究中的应用,最后通过SfM摄影测量方法在活动构造研究中的1个具体应用实例,展示了摄影测量方法在活动构造定量研究中的巨大应用潜力。展开更多
Antimony selenide(Sb2Se3) films are widely used in phase change memory and solar cells due to their stable switching effect and excellent photovoltaic properties. These properties of the films are affected by the film...Antimony selenide(Sb2Se3) films are widely used in phase change memory and solar cells due to their stable switching effect and excellent photovoltaic properties. These properties of the films are affected by the film thickness. A method combining the advantages of Levenberg–Marquardt method and spectral fitting method(LM–SFM) is presented to study the dependence of refractive index(RI), absorption coefficient, optical band gap, Wemple–Di Domenico parameters, dielectric constant and optical electronegativity of the Sb2Se3films on their thickness. The results show that the RI and absorption coefficient of the Sb2Se3films increase with the increase of film thickness, while the optical band gap decreases with the increase of film thickness. Finally, the reasons why the optical and electrical properties of the film change with its thickness are explained by x-ray diffractometer(XRD), energy dispersive x-ray spectrometer(EDS), Mott–Davis state density model and Raman microstructure analysis.展开更多
In the recent years spam became as a big problem of Internet and electronic communication. There developed a lot of techniques to fight them. In this paper the overview of existing e-mail spam filtering methods is giv...In the recent years spam became as a big problem of Internet and electronic communication. There developed a lot of techniques to fight them. In this paper the overview of existing e-mail spam filtering methods is given. The classification, evaluation, and comparison of traditional and learning-based methods are provided. Some personal anti-spam products are tested and compared. The statement for new approach in spam filtering technique is considered.展开更多
In large-scale social media,sentiment classification is a significant one for connecting gaps among social media contents as well as real-world actions,including public emotional status monitoring,political election p...In large-scale social media,sentiment classification is a significant one for connecting gaps among social media contents as well as real-world actions,including public emotional status monitoring,political election prediction,and so on.On the other hand,textual sentiment classification is well studied by various platforms,like Instagram,Twitter,etc.Sentiment classification has many advantages in various fields,like opinion polls,educa-tion,and e-commerce.Sentiment classification is an interesting and progressing research area due to its applications in several areas.The information is collected from vari-ous people about social,products,and social events by web in sentiment analysis.This review provides a detailed survey of 50 research papers presenting sentiment classifica-tion schemes such as active learning-based approach,aspect learning-based method,and machine learning-based approach.The analysis is presented based on the categorization of sentiment classification schemes,the dataset used,software tools utilized,published year,and the performance metrics.Finally,the issues of existing methods considering conventional sentiment classification strategies are elaborated to obtain improved contri-bution in devising significant sentiment classification strategies.Moreover,the probable future research directions in attaining efficient sentiment classification are provided.展开更多
基金This work was jointly supported by the National Natural Science Foundation of China(Grant Nos.41975137,42175012,and 41475097)the National Key Research and Development Program(Grant No.2018YFF0300103).
文摘Since the Beijing 2022 Winter Olympics was the first Winter Olympics in history held in continental winter monsoon climate conditions across complex terrain areas,there is a deficiency of relevant research,operational techniques,and experience.This made providing meteorological services for this event particularly challenging.The China Meteorological Administration(CMA)Earth System Modeling and Prediction Centre,achieved breakthroughs in research on short-and medium-term deterministic and ensemble numerical predictions.Several key technologies crucial for precise winter weather services during the Winter Olympics were developed.A comprehensive framework,known as the Operational System for High-Precision Weather Forecasting for the Winter Olympics,was established.Some of these advancements represent the highest level of capabilities currently available in China.The meteorological service provided to the Beijing 2022 Games also exceeded previous Winter Olympic Games in both variety and quality.This included achievements such as the“100-meter level,minute level”downscaled spatiotemporal resolution and forecasts spanning 1 to 15 days.Around 30 new technologies and over 60 kinds of products that align with the requirements of the Winter Olympics Organizing Committee were developed,and many of these techniques have since been integrated into the CMA’s operational national forecasting systems.These accomplishments were facilitated by a dedicated weather forecasting and research initiative,in conjunction with the preexisting real-time operational forecasting systems of the CMA.This program represents one of the five subprograms of the WMO’s high-impact weather forecasting demonstration project(SMART2022),and continues to play an important role in their Regional Association(RA)II Research Development Project(Hangzhou RDP).Therefore,the research accomplishments and meteorological service experiences from this program will be carried forward into forthcoming highimpact weather forecasting activities.This article provides an overview and assessment of this program and the operational national forecasting systems.
文摘高精度、高分辨率的地形地貌数据是活动构造定量研究的基础。摄影测量方法的出现和快速发展为获取高精度地形地貌数据提供了一种经济有效的技术手段。相比于传统的测量方法,摄影测量方法可在大范围内同时进行,不受地面通视条件的限制,且测量成本相对较低。尤其近年来,随着计算机视觉理论及高效的自动特征匹配算法的发展,一种名为"Structure from Motion"(SfM)的三维重建技术被引入摄影测量方法中,极大地提高了摄影测量的自动化程度。文中介绍了摄影测量方法的基本原理及发展历程,并综述了摄影测量方法在活动构造研究中的应用,最后通过SfM摄影测量方法在活动构造研究中的1个具体应用实例,展示了摄影测量方法在活动构造定量研究中的巨大应用潜力。
基金supported by the National Natural Science Foundation of China (Grant Nos. 62075109, 62135011, 62075107, and 61935006)K. C. Wong Magna Fund in Ningbo University。
文摘Antimony selenide(Sb2Se3) films are widely used in phase change memory and solar cells due to their stable switching effect and excellent photovoltaic properties. These properties of the films are affected by the film thickness. A method combining the advantages of Levenberg–Marquardt method and spectral fitting method(LM–SFM) is presented to study the dependence of refractive index(RI), absorption coefficient, optical band gap, Wemple–Di Domenico parameters, dielectric constant and optical electronegativity of the Sb2Se3films on their thickness. The results show that the RI and absorption coefficient of the Sb2Se3films increase with the increase of film thickness, while the optical band gap decreases with the increase of film thickness. Finally, the reasons why the optical and electrical properties of the film change with its thickness are explained by x-ray diffractometer(XRD), energy dispersive x-ray spectrometer(EDS), Mott–Davis state density model and Raman microstructure analysis.
文摘In the recent years spam became as a big problem of Internet and electronic communication. There developed a lot of techniques to fight them. In this paper the overview of existing e-mail spam filtering methods is given. The classification, evaluation, and comparison of traditional and learning-based methods are provided. Some personal anti-spam products are tested and compared. The statement for new approach in spam filtering technique is considered.
文摘In large-scale social media,sentiment classification is a significant one for connecting gaps among social media contents as well as real-world actions,including public emotional status monitoring,political election prediction,and so on.On the other hand,textual sentiment classification is well studied by various platforms,like Instagram,Twitter,etc.Sentiment classification has many advantages in various fields,like opinion polls,educa-tion,and e-commerce.Sentiment classification is an interesting and progressing research area due to its applications in several areas.The information is collected from vari-ous people about social,products,and social events by web in sentiment analysis.This review provides a detailed survey of 50 research papers presenting sentiment classifica-tion schemes such as active learning-based approach,aspect learning-based method,and machine learning-based approach.The analysis is presented based on the categorization of sentiment classification schemes,the dataset used,software tools utilized,published year,and the performance metrics.Finally,the issues of existing methods considering conventional sentiment classification strategies are elaborated to obtain improved contri-bution in devising significant sentiment classification strategies.Moreover,the probable future research directions in attaining efficient sentiment classification are provided.
