| 查看: 4649 | 回复: 354 | |||||
| 当前只显示满足指定条件的回帖,点击这里查看本话题的所有回帖 | |||||
[交流]
【2015-10-2】【SCI】IJDSN--《体感网特刊》,IF:0.923,刊物征稿
|
|||||
新开的IJDSN的特刊,关于体感网,传感器网络方向的,欢迎大家踊跃投稿 。IF:0.923Recent Advances on Body Sensor Networks Call for Papers Body sensor network (BSN) is a special purpose sensor network located both outside and inside of a human body. BSN is designed to autonomously connect a variety of sensors for satisfying the personalized requirements of certain users, such as healthcare monitoring, environment detection, or application-specific guidance. The devices that a user is equipped with have wirelessly connected sensors embedded inside. The design of the BSN normally needs to satisfy three basic requirements: firstly, a BSN node being an intelligent device must be able to search and find the optimal communication link and then transmit data to the remote server for storage; secondly, a BSN must be flexible for integration and fusion of various data; finally, a BSN must connect itself to the Internet in a noninvasive manner. Beyond satisfying the above mentioned requirements, there is a wide variety of other challenges in designing BSNs. This includes not only system modeling and communication concerns but also the need to exchange the information among devices without interference. Other important aspects to account for in designing BSNs include human behavior prediction, energy efficiency, and sensors deployment. For example, the appropriate design of ultra-low-power modules and their energy management schemes will substantially extend a BSN’s lifetime. The vision is that sensors will be mass-produced with relatively low cost due to the increasing demand of BSNs, especially in healthcare and athletics industries. It is expected that this will bring forth substantial social benefits, such as triggering the expansion of the advanced electronics and service markets and significantly improving people’s quality of life. We invite academics and professionals to contribute original research articles as well as review articles on recent advances of BSNs techniques. Potential topics include, but are not limited to: Development trends for BSNs Sensory data fusion and mining for BSNs Security and privacy for BSNs Contextual awareness for BSNs Human behaviors sensing and prediction for BSNs Wearable computing for BSNs Computational intelligence for BSNs Energy management or energy harvesting for BSNs Communication protocol design for BSNs Interference management for BSNs Applications, experimental platforms, and prototypes for BSNs Radio propagation issues for BSN Antenna and other subsystem designs for BSN Biomedical signal processing for body sensor networks Low power IC design for body sensor networks Affective computing combined with BSNs Authors can submit their manuscripts via the Manuscript Tracking System at http://mts.hindawi.com/submit/journals/ijdsn/rabsns/. Manuscript Due Friday, 2 October 2015 First Round of Reviews Friday, 25 December 2015 Publication Date Friday, 19 February 2016 |
» 本帖附件资源列表
-
欢迎监督和反馈:小木虫仅提供交流平台,不对该内容负责。
本内容由用户自主发布,如果其内容涉及到知识产权问题,其责任在于用户本人,如对版权有异议,请联系邮箱:xiaomuchong@tal.com - 附件 1 : RABSNS.pdf
2015-04-01 10:08:37, 110.29 K
» 猜你喜欢
论文终于录用啦!满足毕业条件了
已经有21人回复
不自信的我
已经有5人回复
磺酰氟产物,毕不了业了!
已经有4人回复
投稿Elsevier的杂志(返修),总是在选择OA和subscription界面被踢皮球
已经有8人回复
» 抢金币啦!回帖就可以得到:
求一个访问学者邀请函,非常非常感谢
+1/691
科瑞赛生物内皮细胞培养基试用装限时大放送,助力你的实验高效进阶!
+1/86
澳门大学智慧城市物联网国重“结构智能感知、健康监测与无损检测”研究方向博士后招聘
+1/79
中科院长春光机所 招收计算材料学博士/硕士研究生(含机器学习辅助材料设计方向)
+1/76
美国密歇根州立大学林学系杜海顺课题组招收全奖博士生及联合培养博士生
+1/76
急招碳材料相关特任研究人员/博士后/科研助理/26级博士和硕士
+1/43
中国科学院大连化学物理研究所DNL0902研究组招聘博士后和职工
+1/32
衡水学院招收食品与营养方向联合培养研究生
+1/30
SCI,计算机相关可以写
+1/24
SCI,计算机相关可以写
+1/23
SCI,计算机相关可以写
+1/22
杨老师招收联合培养硕士、博士生或客座学生
+1/21
南京工业大学招收2026年全日制学术博士(供热、供燃气通风与空调)
+1/14
【博士后/科研助理招聘-北京理工大学-集成电路与电子学院-国家杰青团队】
+1/4
土木、交通工程专业博士后站有吗?(无博士毕业3年要求+可接受兼职博后)
+1/4
乙酸乙酯如何除丙烯酸甲酯
+1/4
海南大学化学院—功能分子器件团队2026博士/研究助理招生
+1/3
深容SCI智能体四大模块:Method, Introduction, Discussion, Abstract
+1/3
海南大学化学院—功能分子器件团队博士后招聘
+1/3
中国矿业大学黄赳课题组联合中国科学院南京土壤研究所朱晓芳研究员诚聘博士后
+1/2
★
xlzlty(金币+1): 谢谢参与
xlzlty(金币+1): 谢谢参与
|
本帖内容被屏蔽 |
87楼2015-04-01 11:36:30




。IF:0.923
回复此楼