咨询与建议

限定检索结果

文献类型

  • 1,412 篇 会议
  • 20 篇 期刊文献
  • 16 册 图书

馆藏范围

  • 1,448 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 930 篇 工学
    • 600 篇 计算机科学与技术...
    • 431 篇 信息与通信工程
    • 313 篇 软件工程
    • 303 篇 电气工程
    • 113 篇 控制科学与工程
    • 103 篇 测绘科学与技术
    • 70 篇 仪器科学与技术
    • 69 篇 机械工程
    • 59 篇 电子科学与技术(可...
    • 53 篇 动力工程及工程热...
    • 29 篇 生物工程
    • 27 篇 生物医学工程(可授...
    • 17 篇 化学工程与技术
    • 16 篇 光学工程
    • 16 篇 材料科学与工程(可...
    • 16 篇 建筑学
    • 14 篇 农业工程
    • 13 篇 土木工程
    • 13 篇 环境科学与工程(可...
  • 203 篇 理学
    • 114 篇 数学
    • 57 篇 物理学
    • 37 篇 统计学(可授理学、...
    • 31 篇 生物学
    • 22 篇 化学
    • 16 篇 系统科学
  • 117 篇 管理学
    • 72 篇 管理科学与工程(可...
    • 54 篇 图书情报与档案管...
    • 23 篇 工商管理
  • 35 篇 医学
    • 31 篇 临床医学
    • 17 篇 基础医学(可授医学...
  • 14 篇 农学
  • 9 篇 经济学
  • 4 篇 法学
  • 2 篇 文学
  • 2 篇 军事学

主题

  • 350 篇 wireless sensor ...
  • 85 篇 neural networks
  • 75 篇 sensor networks
  • 64 篇 monitoring
  • 61 篇 wireless communi...
  • 52 篇 sensor nodes
  • 48 篇 computer network...
  • 47 篇 sensor systems
  • 45 篇 information proc...
  • 43 篇 energy consumpti...
  • 43 篇 sensor phenomena...
  • 40 篇 signal processin...
  • 36 篇 routing
  • 36 篇 protocols
  • 36 篇 energy efficienc...
  • 30 篇 intelligent sens...
  • 29 篇 costs
  • 27 篇 artificial neura...
  • 27 篇 sensors
  • 27 篇 robustness

机构

  • 10 篇 pengcheng labora...
  • 10 篇 shenzhen interna...
  • 10 篇 risc-v internati...
  • 6 篇 school of inform...
  • 5 篇 national enginee...
  • 4 篇 department of el...
  • 3 篇 university of sc...
  • 3 篇 school of comput...
  • 3 篇 college of infor...
  • 3 篇 department of co...
  • 3 篇 australian insti...
  • 3 篇 department of el...
  • 3 篇 wearable computi...
  • 3 篇 national univers...
  • 3 篇 univ windsor sch...
  • 3 篇 univ melbourne d...
  • 3 篇 school of engine...
  • 3 篇 autonomous syste...
  • 3 篇 university of ne...
  • 3 篇 department of el...

作者

  • 10 篇 xinlei chen
  • 4 篇 pubudu n. pathir...
  • 4 篇 el-marakby randa
  • 4 篇 wendong xiao
  • 4 篇 tong xinglin
  • 4 篇 jiannong cao
  • 3 篇 loke seng wai
  • 3 篇 yan zhuo
  • 3 篇 soman k. p.
  • 3 篇 vinayakumar r.
  • 3 篇 stuart kininmont...
  • 3 篇 vetterli m
  • 3 篇 chen-khong tham
  • 3 篇 poornachandran p...
  • 3 篇 xuzhe wang
  • 3 篇 zhang xinman
  • 3 篇 gianluigi ferrar...
  • 3 篇 kininmonth stuar...
  • 3 篇 krishnaswamy sho...
  • 3 篇 tham chen-khong

语言

  • 1,386 篇 英文
  • 37 篇 其他
  • 25 篇 中文
  • 3 篇 土耳其文
检索条件"任意字段=3rd International Symposium on Information Processing in Sensor Networks"
1448 条 记 录,以下是891-900 订阅
排序:
A new application framework for intelligent surveillance sensor networks
A new application framework for intelligent surveillance sen...
收藏 引用
3rd international Conference on Intelligent information Hiding and Multimedia Signal processing
作者: Chou, Li-Ping Sun, Jenn-Dong Chen, Mei-Ling Chinese Culture Univ Dept Comp Sci Taipei Taiwan Chinese Culture Univ Sch Continuing Educ Dept Informat Management Taipei Taiwan
In this paper, we briefly introduce the importance of intelligent surveillance sensor networks. Then we propose a very simple application framework for intelligent surveillance sensor networks.
来源: 评论
Organizing context information processing in dynamic wireless sensor networks
Organizing context information processing in dynamic wireles...
收藏 引用
3rd Intelligent sensors, sensor networks and information processing Conference
作者: Lombriser, Clemens Marin-Perianu, Mihai Marin-Perianu, Raluca Roggen, Daniel Havinga, Paul Troester, Gerhard Swiss Fed Inst Technol Wearable Comp Lab Zurich Switzerland Univ Twente Pervas Syst Grp Enschede Netherlands
This paper presents the e-SENSE middleware architecture for distributed processing of context information in dynamic wireless sensor networks. At the lower layer, sensor nodes organize into clusters spontaneously base... 详细信息
来源: 评论
AirSenseWare: sensor-network middleware for information sharing
AirSenseWare: Sensor-network middleware for information shar...
收藏 引用
3rd Intelligent sensors, sensor networks and information processing Conference
作者: Muro, Keiro Urano, Takehiro Odaka, Toshiyuki Suzuki, Kei Hitachi Ltd Cent Res Lab Tokyo 1858601 Japan
AirSenseWare, a sensor-network middleware that provides abstraction models to user applications is described. The abstract modeling and its event-delivering mechanism let a user handle the real world model, instead of... 详细信息
来源: 评论
Machine learning techniques applied to wireless ad-hoc networks:: Guide and survey
Machine learning techniques applied to wireless ad-hoc netwo...
收藏 引用
3rd Intelligent sensors, sensor networks and information processing Conference
作者: Foerster, Anna Univ Lugano Lugano Switzerland
This work is a survey on the usage of machine learning techniques in wireless sensor networks (WSNs) and mobile ad-hoc networks (MANETs). Its focus lies on approaches for data routing. The goal of the work is two-fold... 详细信息
来源: 评论
sensor standards: Overview and experiences
Sensor standards: Overview and experiences
收藏 引用
3rd Intelligent sensors, sensor networks and information processing Conference
作者: Hu, Peizhao Robinson, Ricky Indulska, Jadwiga Univ Queensland Brisbane Qld 4072 Australia NICTA Brisbane Qld 4000 Australia
sensors are swiftly finding their way into real-world applications, from farming to factory floor monitoring. In parallel with this deployment, several standards are being developed to extend greater interoperability ... 详细信息
来源: 评论
Wireless sensor module for habitat monitoring
Wireless sensor module for habitat monitoring
收藏 引用
3rd Intelligent sensors, sensor networks and information processing Conference
作者: Pendock, Graeme J. Evans, Lisa Coulson, Graeme Univ Melbourne Natl ICT Australia Dept Elect Engn Parkville Vic 3010 Australia Univ Melbourne Fac Vet Sci Werribee Vic 3030 Australia Univ Melbourne Dept Zool Melbourne Vic 3010 Australia
Wireless sensor networks for outdoor applications, such as habitat monitoring, are expected to require wireless link ranges that are longer than achievable with commonly available platforms. We discuss ways to extend ... 详细信息
来源: 评论
RBATMWSN: Recursive Bayesian approach to trust management in wireless sensor networks
RBATMWSN: Recursive Bayesian approach to trust management in...
收藏 引用
3rd Intelligent sensors, sensor networks and information processing Conference
作者: Momani, Mohammad Aboura, Khalid Challa, Subhash Univ Technol Sydney Dept Engn Sydney NSW 2007 Australia Univ Melbourne Dept Engn Melbourne Vic 3010 Australia
This paper introduces a new trust model and a reputation system for wireless sensor networks based on a sensed continuous data. It establishes the continuous version of the beta reputation system introduced in [1] and... 详细信息
来源: 评论
A WSN system architecture to capture context information for beyond 3G communication systems
A WSN system architecture to capture context information for...
收藏 引用
3rd Intelligent sensors, sensor networks and information processing Conference
作者: Gluhak, Alexander Schott, Wolfgang Univ Surrey Ctr Commun Syst Res Guildford GU2 7XH Surrey England IBM Res GmbH Zurich Res Lab Zurich Switzerland
To enable new context-aware applications and services in future communication systems, wireless sensor networks (WSNs) are required to capture the context surrounding the service user and service related objects. This... 详细信息
来源: 评论
A study of transmission overheads for sensor network localization schemes
A study of transmission overheads for sensor network localiz...
收藏 引用
3rd Intelligent sensors, sensor networks and information processing Conference
作者: Pakkanen, Jussi Lai, Daniel T. H. Univ Melbourne Dept Elect & Elect Engn Melbourne Vic 3010 Australia
The problem of sensor network localization has been addressed with several localization algorithms. These algorithms can be categorized into centralized schemes which require that computations be performed at base nod... 详细信息
来源: 评论
Swarming network for intruder detection
Swarming network for intruder detection
收藏 引用
3rd Intelligent sensors, sensor networks and information processing Conference
作者: Krill, J. A. Day, D. A. O'Driscoll, M. J. O'Haver, K. W. Johns Hopkins Univ Appl Phys Lab Laurel MD 20723 USA
We describe a novel concept for an intrusion sensor network. The concept features two components. The first is a simple tone-based inter-node signaling system for autonomous interactive cueing, exhibiting a swarming b... 详细信息
来源: 评论