We report the world's first all-season training and validation sample sets for global land cover classification with Landsat-8 data.Prior to this,such samples were only available at a single date primarily from th...We report the world's first all-season training and validation sample sets for global land cover classification with Landsat-8 data.Prior to this,such samples were only available at a single date primarily from the growing season.It is unknown how much limitation such a single-date sample has to mapping global land cover in other seasons of the year.To answer this question,we selected available Landsat-8 images from four seasons and collected training and validation samples from them.We compared the performances of training samples in different seasons using Random Forest algorithm.We found that the use of training samples from any individual season would result in the best overall classification accuracy when validated by samples in the same season.The global overall accuracy from combined best seasonal results was 67.2% when classifying the 11 Level-1 classes in the Finer Resolution Observation and Monitoring of Global Land Cover(FROM-GLC) classification system.The use of training samples from all seasons(named all-season training sample set hereafter) produced an overall accuracy of 67.0%.We also tested classification within 10° latitude 60° longitude zones using all-season training subsample within each zone and obtained an overall accuracy of 70.2%.This indicates that properly grouped subsamples in space can help improve classification accuracies.All the results in this study seem to suggest that it is possible to use an all-season training sample set to reach global optimality with universal applicability in classifying images acquired at any time of a year for global land cover mapping.展开更多
A tortuous labyrinth passage consists of a series of right angle turns in a disk of high pressure control valve.In this paper,numerical simulations are made for the velocity and pressure distributions in this passage....A tortuous labyrinth passage consists of a series of right angle turns in a disk of high pressure control valve.In this paper,numerical simulations are made for the velocity and pressure distributions in this passage.It is shown that the “series passage” can induce a pressure dropping more effectively.The main function of the “series passage” is to induce a pressure dropping while the “parallel passage” is mainly to regulate the flow-rate.As a cross sectional area process,a series of reduction and expansion,the pressure will also see dropping and partial recovery,which is called the multistage pressure drop.By this way,the velocity can be controlled in a reasonable level anywhere in this tortuous labyrinth passage.With the fluid pressure dropping in a downwards serrated way,the pressure is higher than the local saturate vapor pressure,therefore,no cavitation is induced by the phase transition.展开更多
This research paper explores the significance of the “A360 Bot Framework” in Automation 360 (A360) platform. A360 is Automation Anywhere’s cloud-based automation platform designed to make business processes more ef...This research paper explores the significance of the “A360 Bot Framework” in Automation 360 (A360) platform. A360 is Automation Anywhere’s cloud-based automation platform designed to make business processes more efficient. It’s known for its user-friendly interface, which allows both technical and non-technical users to use it effectively. Automation 360 is versatile, offering a range of tools to automate tasks, manage complex workflows, and integrate various applications. It empowers users to create customized solutions for their specific needs. Being cloud-based it ensures scalability, security, and real-time updates, making it a top choice in the fast-paced digital world. As demand for A360 rises, having a structured way to develop bots becomes crucial. The paper introduces the “A360 Bot Framework” as a guiding approach for bot developments. This framework ensures consistency and scalability, especially when working with both professional developers and non-technical users. It outlines key elements like setting up work folders, managing logs, dealing with errors, and ensuring secure bot execution. Ultimately, the “A360 Bot Framework” is presented as a foundational structure that enhances consistency, resiliency, and development efficiency. By following predefined practices and templates, bot developers can mitigate risks and streamline debugging processes. This framework accelerates the bot development lifecycle, allowing developers to focus on specific functionalities and value-added features. The research paper aims to provide insights into the benefits of adopting the A360 Bot Framework and its potential to revolutionize A360 bot development practices, leading to more efficient and effective automation solutions.展开更多
随着自动气象站在气象业务中越来越广泛的应用,接收其数据的中心站软件的使用也越来越多,在业务使用过程中对中心站软件的功能要求的也逐渐增高。但在业务运行过程中,很多功能并没有在其用户使用手册中加以介绍,所以就需要对中心站软件...随着自动气象站在气象业务中越来越广泛的应用,接收其数据的中心站软件的使用也越来越多,在业务使用过程中对中心站软件的功能要求的也逐渐增高。但在业务运行过程中,很多功能并没有在其用户使用手册中加以介绍,所以就需要对中心站软件进行更为深入的研究与实验以便可以使其适用气象业务的需要。根据对中国华云技术开发公司的中心站软件CAWS AnyWhere Server 2010的研究与实验,得到了一些适应气象业务需要的功能的设置方法。展开更多
云技术在游戏方面已创造了一个新的产业:云游戏。云计算使得性能差的机器变得智能并且高效。云游戏充分利用了云端资源来把几乎所有的工作负荷转移到了云端,然后通过云计算,再把视频流传回给用户。笔者介绍了云游戏的框架和实现,利用三...云技术在游戏方面已创造了一个新的产业:云游戏。云计算使得性能差的机器变得智能并且高效。云游戏充分利用了云端资源来把几乎所有的工作负荷转移到了云端,然后通过云计算,再把视频流传回给用户。笔者介绍了云游戏的框架和实现,利用三个主要的平台Gaming Anywhere、Onlive和Stream My Game来进行分析。实验结果表明,交互延迟和图像质量限制了体验的效果,但是存在新的算法降低云游戏对网络的需求。云游戏是最近才实现的,所以还面临着很多问题,解决这些问题将能让云游戏更好地适应现在的时代。虽然云游戏现在还不流行,但是它将最终成为游戏爱好者体验现代游戏的主要方式。展开更多
基金partially supported by the National High Technology Program(2013AA122804)the Special Fund for Meteorology Scientific Research in the Public Welfare(GYHY201506023)of ChinaOpen Fund of State Key Laboratory of Remote Sensing Science(OFSLRSS201514)
文摘We report the world's first all-season training and validation sample sets for global land cover classification with Landsat-8 data.Prior to this,such samples were only available at a single date primarily from the growing season.It is unknown how much limitation such a single-date sample has to mapping global land cover in other seasons of the year.To answer this question,we selected available Landsat-8 images from four seasons and collected training and validation samples from them.We compared the performances of training samples in different seasons using Random Forest algorithm.We found that the use of training samples from any individual season would result in the best overall classification accuracy when validated by samples in the same season.The global overall accuracy from combined best seasonal results was 67.2% when classifying the 11 Level-1 classes in the Finer Resolution Observation and Monitoring of Global Land Cover(FROM-GLC) classification system.The use of training samples from all seasons(named all-season training sample set hereafter) produced an overall accuracy of 67.0%.We also tested classification within 10° latitude 60° longitude zones using all-season training subsample within each zone and obtained an overall accuracy of 70.2%.This indicates that properly grouped subsamples in space can help improve classification accuracies.All the results in this study seem to suggest that it is possible to use an all-season training sample set to reach global optimality with universal applicability in classifying images acquired at any time of a year for global land cover mapping.
基金supported by the National Natural Science Foun-dation of China(Grant Nos.51176127,51106099)the Shanghai Science and Technology Commission(Grant No.13DZ2260900)
文摘A tortuous labyrinth passage consists of a series of right angle turns in a disk of high pressure control valve.In this paper,numerical simulations are made for the velocity and pressure distributions in this passage.It is shown that the “series passage” can induce a pressure dropping more effectively.The main function of the “series passage” is to induce a pressure dropping while the “parallel passage” is mainly to regulate the flow-rate.As a cross sectional area process,a series of reduction and expansion,the pressure will also see dropping and partial recovery,which is called the multistage pressure drop.By this way,the velocity can be controlled in a reasonable level anywhere in this tortuous labyrinth passage.With the fluid pressure dropping in a downwards serrated way,the pressure is higher than the local saturate vapor pressure,therefore,no cavitation is induced by the phase transition.
文摘This research paper explores the significance of the “A360 Bot Framework” in Automation 360 (A360) platform. A360 is Automation Anywhere’s cloud-based automation platform designed to make business processes more efficient. It’s known for its user-friendly interface, which allows both technical and non-technical users to use it effectively. Automation 360 is versatile, offering a range of tools to automate tasks, manage complex workflows, and integrate various applications. It empowers users to create customized solutions for their specific needs. Being cloud-based it ensures scalability, security, and real-time updates, making it a top choice in the fast-paced digital world. As demand for A360 rises, having a structured way to develop bots becomes crucial. The paper introduces the “A360 Bot Framework” as a guiding approach for bot developments. This framework ensures consistency and scalability, especially when working with both professional developers and non-technical users. It outlines key elements like setting up work folders, managing logs, dealing with errors, and ensuring secure bot execution. Ultimately, the “A360 Bot Framework” is presented as a foundational structure that enhances consistency, resiliency, and development efficiency. By following predefined practices and templates, bot developers can mitigate risks and streamline debugging processes. This framework accelerates the bot development lifecycle, allowing developers to focus on specific functionalities and value-added features. The research paper aims to provide insights into the benefits of adopting the A360 Bot Framework and its potential to revolutionize A360 bot development practices, leading to more efficient and effective automation solutions.
文摘随着自动气象站在气象业务中越来越广泛的应用,接收其数据的中心站软件的使用也越来越多,在业务使用过程中对中心站软件的功能要求的也逐渐增高。但在业务运行过程中,很多功能并没有在其用户使用手册中加以介绍,所以就需要对中心站软件进行更为深入的研究与实验以便可以使其适用气象业务的需要。根据对中国华云技术开发公司的中心站软件CAWS AnyWhere Server 2010的研究与实验,得到了一些适应气象业务需要的功能的设置方法。
文摘云技术在游戏方面已创造了一个新的产业:云游戏。云计算使得性能差的机器变得智能并且高效。云游戏充分利用了云端资源来把几乎所有的工作负荷转移到了云端,然后通过云计算,再把视频流传回给用户。笔者介绍了云游戏的框架和实现,利用三个主要的平台Gaming Anywhere、Onlive和Stream My Game来进行分析。实验结果表明,交互延迟和图像质量限制了体验的效果,但是存在新的算法降低云游戏对网络的需求。云游戏是最近才实现的,所以还面临着很多问题,解决这些问题将能让云游戏更好地适应现在的时代。虽然云游戏现在还不流行,但是它将最终成为游戏爱好者体验现代游戏的主要方式。
