设为首页
收藏本站
网站地图
|
English
|
公务邮箱
About the library
Background
History
Leadership
Organization
Readers' Guide
Opening Hours
Collections
Help Via Email
Publications
Electronic Information Resources
常用资源
电子图书
期刊论文
学位会议
外文资源
特色专题
内部出版物
GSW全文库(27)
Springer电子图书(26)
CNKI会议论文(60)
知网期刊论文(91685)
中国地质文献-英文(4847)
院士团队服务(2)
CNKI学位论文(25253)
万方学位论文(1)
馆藏书目(3)
万方学术会议(2)
CNKI期刊论文0611(123)
在“
Elsevier电子期刊
”中,
命中:
2,315
条,耗时:0.1359339 秒
在所有数据库中总计命中:
122,029
条
1.
Crowding cost estimation with large scale
smart
card and vehicle location
data
作者:
Daniel Hö
;
rcher
;
d.horcher@imperial.ac.uk
;
Daniel J. Graham
;
Richard J. Anderson
关键词:
Public transport
;
Crowding
;
Revealed preference
;
Smart
card
data
;
AVL
data
刊名:Transportation Research Part B: Methodological
出版年:2017
2.
Understanding commuting patterns using transit
smart
card
data
作者:
Xiaolei Ma
a
;
b
;
1
;
xiaolei@buaa.edu.cn
;
Congcong Liu
b
;
vincent_liu@buaa.edu.cn
;
Huimin Wen
c
;
d
;
1
;
wenhm@bjtrc.org.cn
;
Yunpeng Wang
b
;
ypwang@buaa.edu.cn
;
Yao-Jan Wu
e
;
yaojan@email.arizona.edu
关键词:
Commuting
;
Human mobility
;
Public transportation
;
Travel behavior
;
Transit
smart
card
data
刊名:Journal of Transport Geography
出版年:2017
3.
Identifying services for short-term load forecasting using
data
driven models in a
Smart
City platform
作者:
Joaquim Massana
;
joaquim.massana@udg.edu
;
Carles Pous
carles.pous@udg.edu
;
Llorenç
;
Burgas
llorenc.burgas@udg.edu
;
Joaquim Melendez
joaquim.melendez@udg.edu
;
Joan Colomer
joan.colomer@udg.edu
关键词:
Short-term load forecasting
;
Data
mining
;
Services
;
Building
;
Smart
City architecture
刊名:Sustainable Cities and Society
出版年:2017
4.
Bus arrival time calculation model based on
smart
card
data
作者:
Yuyang Zhou
;
zyy@bjut.edu.cn
;
Lin Yao
;
Yanyan Chen
;
Yi Gong
;
Jianhui Lai
关键词:
Public transit
;
Bus arrival time
;
Smart
card
data
;
Ridership
;
Seating capacity
刊名:Transportation Research Part C: Emerging Technologies
出版年:2017
5.
VLC-based location
data
transferal for
smart
devices
作者:
Jae-Hoon Kim
a
;
jayhoon@ajou.ac.kr
;
Suk-Yon Kang
b
;
sukyon.kang@sk.com
;
Seung-Taek Lee
c
;
leest208@gmail.com
关键词:
VLC
;
Image processing
;
Smart
device
刊名:Optical Switching and Networking
出版年:2017
6.
Mining Urban
Data
(Part C)
作者:
Gennady Andrienko
a
;
b
;
Dimitrios Gunopulos
c
;
Yannis Ioannidis
c
;
Vana Kalogeraki
d
;
Ioannis Katakis
c
;
1
;
katak@di.uoa.gr
;
Katharina Morik
e
;
Olivier Verscheure
f
关键词:
Urban
data
;
Smart
cities
;
Data
mining
;
Data
management
;
Sensor networks
;
Social networks
刊名:Information Systems
出版年:2017
7.
A hybrid-learning based broker model for strategic power trading in
smart
grid markets
作者:
Xishun Wang
;
xw357@uowmail.edu.au
;
Minjie Zhang
minjie@uow.edu.au
;
Fenghui Ren
fren@uow.edu.au
关键词:
Smart
grid market
;
Broker model
;
Data
-driven
;
Hybrid learning
刊名:Knowledge-Based Systems
出版年:2017
8.
Utilizing Cloud Computing to address big geospatial
data
challenges
作者:
Chaowei Yang
;
cyang3@gmu.edu
;
Manzhu Yu
;
Fei Hu
;
Yongyao Jiang
;
Yun Li
关键词:
Big
Data
;
Cloud Computing
;
Spatiotemporal
data
;
Geospatial science
;
Smart
cities
刊名:Computers, Environment and Urban Systems
出版年:2017
9.
Modeling and performance evaluation of stealthy false
data
injection attacks on
smart
grid in the presence of corrupted measurements
作者:
Adnan Anwar
;
Adnan.Anwar@adfa.edu.au" class="auth_mail" title="E-mail the corresponding author
;
Abdun Naser Mahmood
;
Mark Pickering
关键词:
Smart
grid
;
False
data
injection
;
Blind attack
;
Principal component analysis (PCA)
刊名:Journal of Computer and System Sciences
出版年:2017
10.
Privacy-preserving attribute-keyword based
data
publish-subscribe service on cloud platforms
作者:
Kan Yang
;
1
;
a
;
b
;
kan.yang@uwaterloo.ca
;
Kuan Zhang
b
;
k52zhang@uwaterloo.ca
;
Xiaohua Jia
c
;
csjia@cityu.edu.hk
;
M. Anwar Hasan
b
;
ahasan@uwaterloo.ca
;
Xuemin (Sherman) Shen
b
;
sshen@uwaterloo.ca
关键词:
AKPS
;
Data
publish-subscribe
;
Searchable encryption
;
Trapdoor privacy
;
Tag privacy
;
Data
privacy
刊名:Information Sciences
出版年:2017
1
2
3
4
5
6
7
8
9
按检索点细分(2315)
题名(171)
作者(1)
关键词(163)
文摘(1674)
NGLC 2004-2010.National Geological Library of China All Rights Reserved.
Add:29 Xueyuan Rd,Haidian District,Beijing,PRC. Mail Add: 8324 mailbox 100083
For exchange or info please contact us via
email
.