Call for Papers:Special Issue on Artificial Intelligence

Artificial intelligence(AI)has been attracting more and more concerns from nearly every comer of the human society globally,through a number of high level international open competitions,such as the one between IBM Deeper     

Special Issue on Using Artificial Intelligence in Internet of Things

Interact of Things has received much attention over the past de cade. With the rapid increase in the use of smart devices, we are now able to collect big data on a daily basis. The data we are gather ing and related problems arc becoming more complex and uncer tain. Researchers have therefore turned to AI as an efficient way of dealing with the problems created by big data.     

Call for Papers Journal of Electronic Science and Technology Announcing a Special Issue on Artificial Intelligence with Rough Sets

Submission Deadline:10 December 2010 Since the introduction of rough sets in 1982 by Professor Zdzislaw Pawlak,we have witnessed great advances in both     

Special Issue on Using Artificial Intelligence in Internet of Things Guest Editors: Fuji Ren,Yu Gu

Internet of Things has received much attention over the past de-cade.With the rapid increase in the use of smart devices,we arenow able to collect big data on a daily basis.The data we are gather-ing and related problems are becoming more complex and uncer-tain.Researchers have therefore turned to AI as an efficient way ofdealing with the problems created by big data.This special issue of ZTE Communications will be dedicated to     

ZTE Communications Call for Papers Special Issue on Using Artificial Intelligence in Internet of Things

Internet of Things has received much attention over the past decade.With the rapid increase in the use of smart devices,we are now able to collect big data on a daily basis.The data we are gathering and related problems are becoming more complex and uncertain.Researchers have therefore turned to AI as an efficient way of dealing with the problems created by big data.This special issue of ZTE Communications will be dedicated to development,trends,challenges,and current practices in artificial intelligence for the Internet of Things.Position papers,technology     

数据挖掘与人工智能技术研究

数据挖掘是通过数据采集、处理进行知识表示的过程,是进行海量数据中有效数据挖掘的重要技术;而人工智能则是通过充分利用计算机技术以及其他学科技术进行智能学习、自动控制的人脑模拟技术手段。二者都是前沿的数据控制处理技术,都有非常广泛的应用前景。文章分别介绍了二者的核心内容以及互相联系,并简单的进行了相关领域的展望,希望能够以此对发展智能化管理控制技术发展有一定的帮助。     

Special Issue on Educational Technology

Much of the promise of educational technology lies in what can be done to aid the typical, non-remote student both in and out of the classroom.     

Special Issue on Nanowire Transistors: Modeling, Device Design, and Technology

The 31 papers in this special issue focus on nanowire transistors and cover the modeling, device design and technology of these transistors. Other papers on the same topic are appearing in a special issue of the IEEE Transactions on Nanotechnology.     

基于人工智能的跨媒体感知与分析技术研究

随着新媒体技术的飞速发展,传统方法已难以准确表达具有人工智能属性的复杂知识结构,跨媒体成为大家关注的焦点。当前,媒体数据感知与分析已经从文本、语音、图像以及视频等单一媒体形态向覆盖网络空间与物理空间的跨媒体融合转变。研究满足新一代人工智能发展规划的跨媒体感知和分析技术体系,并依托知识图谱、长短时记忆网络以及卷积神经网络等技术,实现多通道网络数据爬取、实体统一表征、文本语义识别以及视图像分类等,可有效支撑舆情分析、新闻追踪以及情报获取等领域的跨媒体应用。     

Special Issue on Flexible Electronics Technology, Part II: Materials and Devices

Presents an introduction to a special issue of Proceedings of the IEEE. Flexible electronics is entering an exciting phase in the technology development cycle. After a decade of fundamental materials and device research, we are now witnessing the first major push toward commercialization. Productization requires device architectures and materials processes that are reliable and suitably qualified for high volume manufacturing. While the focus of the July issue of the Proceedings of the IEEE was on electronic systems and applications, the theme of the current issue is on materials and device technology, process development, and manufacturing technology. The fifteen papers in this issue provide a good overview of the status of flexible electronic materials and manufacturing technology.     

跨代雷达微波光子技术：机遇与挑战

本文阐述了跨代雷达技术发展趋势以及五代雷达应具备的阵列化、宽带化、网络化、综合化、智能化等典型特征,总结了微波光子的技术优势以及在跨代雷达典型应用场景中可为系统提供的效能增量。文中重点分析了当前微波光子技术在链路性能、集成度、阵列化、工程化等方面面向光子雷达实际应用所需要解决的主要问题,并分别阐述了解决这些问题的基本思路和方法。最后给出了相干光新体制的基于光子集成的未来全光雷达系统的基本架构、实现方法与技术发展建议。     

基于计算机网络技术的人工智能技术研究

随着互联网的高速发展,人们对计算机网络的使用越来越频繁,互联网已经深入影响到人们日常生活的各个方面。然而在网络使用的过程中产生的各种漏洞及一些其他因素导致的网络安全方面的问题时有发生,如何让网络在为人们提供高效、迅速服务的同时也能满足不同程度的安全问题,一直是业界研究的课题。文章将研究使用人工智能技术,将人工智能融入网络安全领域,这样不仅可以提高网络整体性能,而且在安全方面能得到有效可靠保障。Agent技术在人工智能中发挥着重要作用,不断促进着网络性能的提高。