The primary network technologies of Internet and Intranet are discussed respectively from the following aspects:connection between the Web server and the database,application of Java in Intranet,connecting technology ...The primary network technologies of Internet and Intranet are discussed respectively from the following aspects:connection between the Web server and the database,application of Java in Intranet,connecting technology of HTTP,network management and mail accessing management.展开更多
课题来源于咸阳职业技术学院《计算机应用基础》在线考试系统开发研究,主要是如何利用强大的校园网络服务功能实现网上考试。本文探讨应用B/S模式结构,整个系统依靠Asp.net作为技术支持,利用Microsoft Visual Studio 2010软件进行系统开...课题来源于咸阳职业技术学院《计算机应用基础》在线考试系统开发研究,主要是如何利用强大的校园网络服务功能实现网上考试。本文探讨应用B/S模式结构,整个系统依靠Asp.net作为技术支持,利用Microsoft Visual Studio 2010软件进行系统开发,从而构建一个从组卷--考试---评卷---查分的完整的、可操作的在线考试应用系统。展开更多
Much like genomics, brain connectomics has rapidly become a core component of most national brain projects around the world. Beyond the ambitious aims of these projects, a fundamental challenge is the need for an effi...Much like genomics, brain connectomics has rapidly become a core component of most national brain projects around the world. Beyond the ambitious aims of these projects, a fundamental challenge is the need for an efficient, robust, reliable and easy-to-use pipeline to mine such large neuroscience datasets. Here, we introduce a computational pipeline--namely the Connectome Compu- tation System (CCS)-for discovery science of human brain connectomes at the macroscale with multimodal magnetic resonance imaging technologies. The CCS is designed with a three-level hierarchical structure that includes data cleaning and preprocessing, individual connectome mapping andconnectome mining, and knowledge discovery. Several functional modules are embedded into this hierarchy to implement quality control procedures, reliability analysis and connectome visualization. We demonstrate the utility of the CCS based upon a publicly available dataset, the NKI- Rockland Sample, to delineate the normative trajectories of well-known large-scale neural networks across the natural life span (6-85 years of age). The CCS has been made freely available to the public via GitHub (https://github.com/ zuoxinian/CCS) and our laboratory's Web site (http://lfcd. psych.ac.cn/ccs.html) to facilitate progress in discovery science in the field of human brain connectomics.展开更多
Geographic Hypermedia(GH)is a rich and interactive map document with geo-tagged graphics,sound and video ele-ments.A Geographic Hypermedia System(GHS)is designed to manage,query,display and explore GH resources.Recogn...Geographic Hypermedia(GH)is a rich and interactive map document with geo-tagged graphics,sound and video ele-ments.A Geographic Hypermedia System(GHS)is designed to manage,query,display and explore GH resources.Recognizing emerging geo-tagged videos and measurable images as valuable geographic data resources,this paper aims to design a web-based GHS using web mapping,geoprocessing,video streaming and XMLHTTP services.The concept,data model,system design and implementation of this GHS are discussed in detail.Geo-tagged videos are modeled as temporal,spatial and metadata entities such as video clip,video path and frame-based descriptions.Similarly,geo-tagged stereo video and derived data are modeled as interre-lated entities:original video,rectified video,stereo video,video path,frame-based description and measurable image(rectified and disparity image with baseline,interior and exterior parameters).The entity data are organized into video files,GIS layers with linear referencing and XML documents for web publishing.These data can be integrated in HTML pages or used as Rich Internet Appli-cations(RIA)using standard web technologies such as the AJAX,ASP.NET and RIA frameworks.An SOA-based GHS is designed using four types of web services:ArcGIS Server 9.3 web mapping and geoprocessing services,Flash FMS 3.0 video streaming ser-vices and GeoRSS XMLHTTP services.GHS applications in road facility management and campus hypermapping indicate that the GH data models and technical solutions introduced in this paper are useful and flexible enough for wider deployment as a GHS.展开更多
文摘The primary network technologies of Internet and Intranet are discussed respectively from the following aspects:connection between the Web server and the database,application of Java in Intranet,connecting technology of HTTP,network management and mail accessing management.
文摘课题来源于咸阳职业技术学院《计算机应用基础》在线考试系统开发研究,主要是如何利用强大的校园网络服务功能实现网上考试。本文探讨应用B/S模式结构,整个系统依靠Asp.net作为技术支持,利用Microsoft Visual Studio 2010软件进行系统开发,从而构建一个从组卷--考试---评卷---查分的完整的、可操作的在线考试应用系统。
基金partially supported by the National Basic Research Program (973) of China (2015CB351702)the National Natural Science Foundation of China (81220108014, 81471740, 81201153, 81171409, and 81270023)+4 种基金the Key Research Program (KSZD-EW-TZ-002)the Hundred Talents Program of the Chinese Academy of SciencesDr. Xiu-Xia Xing acknowledges the Beijing Higher Education Young Elite Teacher Project (No. YETP1593)Dr. Zhi Yang acknowledges the Foundation of Beijing Key Laboratory of Mental Disorders (2014JSJB03)the Outstanding Young Researcher Award from Institute of Psychology, Chinese Academy of Sciences (Y4CX062008)
文摘Much like genomics, brain connectomics has rapidly become a core component of most national brain projects around the world. Beyond the ambitious aims of these projects, a fundamental challenge is the need for an efficient, robust, reliable and easy-to-use pipeline to mine such large neuroscience datasets. Here, we introduce a computational pipeline--namely the Connectome Compu- tation System (CCS)-for discovery science of human brain connectomes at the macroscale with multimodal magnetic resonance imaging technologies. The CCS is designed with a three-level hierarchical structure that includes data cleaning and preprocessing, individual connectome mapping andconnectome mining, and knowledge discovery. Several functional modules are embedded into this hierarchy to implement quality control procedures, reliability analysis and connectome visualization. We demonstrate the utility of the CCS based upon a publicly available dataset, the NKI- Rockland Sample, to delineate the normative trajectories of well-known large-scale neural networks across the natural life span (6-85 years of age). The CCS has been made freely available to the public via GitHub (https://github.com/ zuoxinian/CCS) and our laboratory's Web site (http://lfcd. psych.ac.cn/ccs.html) to facilitate progress in discovery science in the field of human brain connectomics.
基金Supported by the National Natural Science Foundation of China (No.40771166 )the Henan University Foundation (No.SBGJ090605)
文摘Geographic Hypermedia(GH)is a rich and interactive map document with geo-tagged graphics,sound and video ele-ments.A Geographic Hypermedia System(GHS)is designed to manage,query,display and explore GH resources.Recognizing emerging geo-tagged videos and measurable images as valuable geographic data resources,this paper aims to design a web-based GHS using web mapping,geoprocessing,video streaming and XMLHTTP services.The concept,data model,system design and implementation of this GHS are discussed in detail.Geo-tagged videos are modeled as temporal,spatial and metadata entities such as video clip,video path and frame-based descriptions.Similarly,geo-tagged stereo video and derived data are modeled as interre-lated entities:original video,rectified video,stereo video,video path,frame-based description and measurable image(rectified and disparity image with baseline,interior and exterior parameters).The entity data are organized into video files,GIS layers with linear referencing and XML documents for web publishing.These data can be integrated in HTML pages or used as Rich Internet Appli-cations(RIA)using standard web technologies such as the AJAX,ASP.NET and RIA frameworks.An SOA-based GHS is designed using four types of web services:ArcGIS Server 9.3 web mapping and geoprocessing services,Flash FMS 3.0 video streaming ser-vices and GeoRSS XMLHTTP services.GHS applications in road facility management and campus hypermapping indicate that the GH data models and technical solutions introduced in this paper are useful and flexible enough for wider deployment as a GHS.