检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

45 篇 会议

馆藏范围

45 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

35 篇 工学
- 31 篇 计算机科学与技术...
- 26 篇 测绘科学与技术
- 8 篇 电气工程
- 7 篇 信息与通信工程
- 2 篇 仪器科学与技术
- 1 篇 机械工程
- 1 篇 动力工程及工程热...
- 1 篇 电子科学与技术（可...
- 1 篇 软件工程

主题

9 篇 wireless sensor ...
9 篇 sensor networks
4 篇 ieee 802.11 stan...
3 篇 air traffic cont...
2 篇 temperature
2 篇 timestamping
2 篇 ads-b
2 篇 buildings
2 篇 educational inst...
2 篇 nextgen
2 篇 servers
2 篇 trajectory
2 篇 smartphone
2 篇 smart phones
2 篇 opensky
2 篇 crowdsourcing
2 篇 accuracy
2 篇 sensors
2 篇 calibration
2 篇 energy efficienc...

机构

3 篇 tu kaiserslauter...
2 篇 univ oxford oxfo...
2 篇 adv digital sci ...
2 篇 armasuisse thun
1 篇 natl univ comp &...
1 篇 univ michigan co...
1 篇 nanyang technol ...
1 篇 agt int darmstad...
1 篇 kios research ce...
1 篇 department of co...
1 篇 michigan state u...
1 篇 skysquitter gbr ...
1 篇 penn state univ ...
1 篇 nanyang technol ...
1 篇 department of co...
1 篇 king abdullah un...
1 篇 cister/inesc-tec...
1 篇 illinios singapo...
1 篇 aalto univ dept ...
1 篇 school of comput...

作者

4 篇 tan rui
3 篇 li yang
3 篇 lenders vincent
2 篇 strohmeier marti...
2 篇 claudel christia...
2 篇 dutta prabal
2 篇 martinovic ivan
2 篇 yau david k. y.
2 篇 wilhelm matthias
2 篇 schaefer matthia...
1 篇 liu xiaoming
1 篇 wen jianjun
1 篇 zhang lin
1 篇 mousa mustafa
1 篇 zhao xuan
1 篇 wang shiguang
1 篇 dargie waltenegu...
1 篇 li linglong
1 篇 jantti riku
1 篇 roedig utz

语言

45 篇 英文

检索条件"任意字段=13th IEEE/ACM International Conference on Information Processing in Sensor Networks, IPSN 2014"

共 45 条记录，以下是1-10 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Watching the Grid: Utility-Independent Measurements of Electricity Reliability in Accra, Ghana 20

Watching the Grid: Utility-Independent Measurements of Elect...

引用

20th acm/ieee international conference on information processing in sensor networks (ipsn)

作者： Klugman, Noah Adkins, Joshua Paszkiewicz, Emily Hickman, Molly G. Podolsky, Matthew Taneja, Jay Dutta, Prabal Univ Calif Berkeley Berkeley CA 94720 USA Virginia Tech Blacksburg VA USA Univ Massachusetts Amherst MA 01003 USA

ISBN: (纸本)9781450380980

In much of the world, electricity grids are not instrumented at the customer level, limiting insights into the power quality experienced by utility customers. Moreover, to understand grid performance, regulators and investors must depend on utilities to self-report reliability data. To address these challenges, we introduce PowerWatch, an agile methodology to directly measure customer experience and aggregated grid performance without relying on the utility for deployment or management. PowerWatch employs a system of distributed sensors coupled with cloud-based analytics. We evaluate the PowerWatch methodology by deploying 462 sensors in homes and businesses in Accra, Ghana for over a year, yielding the largest open-source data set on electricity reliability at the customer-level in the region. We describe the architecture, design, and performance of PowerWatch, as well as the data that are collected, explaining how we determine the accuracy and coverage of our methodology without ground truth. Finally, we report on grid performance issues, finding nearly twice as many outages as the utility observed, suggesting a need for better grid performance monitoring.

关键词： sensor deployments Grid reliability metering

来源：评论

学校读者我要写书评

暂无评论

SolarFinder: Automatic Detection of Solar Photovoltaic Arrays 19

SolarFinder: Automatic Detection of Solar Photovoltaic Array...

引用

19th acm/ieee international conference on information processing in sensor networks (ipsn)

作者： Li, Qi Feng, Yuzhou Leng, Yuyang Chen, Dong Florida Int Univ Miami FL 33199 USA

ISBN: (纸本)9781728154978

Smart cities, utilities, third-parties, and government agencies are having pressure on managing stochastic power generation from distributed rooftop solar photovoltaic (PV) arrays, such as predicting and reacting to the variations in electric grid. Recently, there is a rising interest to identify solar PV arrays automatically and passively. Traditional approaches such as online assessment and utilities interconnection filings are time consuming and costly, and limited in geospatial resolution, and thus do not scale up to every location. Significant recent work focuses on using aerial imagery to train machine learning or deep learning models to automatically detect solar PV arrays. Unfortunately, these approaches typically require Very High Resolution (VHR) images and human handcrafted solar PV array templates for training, which have a minimum cost of $15 per km(2) and are not always available at every location. To address the problem, we design a new system-SolarFinder that can automatically detect: distributed solar PV arrays in a given geospatial region without any extra cost. SolarFinder first automatically fetches regular resolution satellite images within the region using publicly-available imagery APIs. then, SolarFinder leverages multi-dimensional K-means algorithm to automatically segment solar arrays on rooftop images. Eventually, SolarFinder employs hybrid linear regression approach that integrates support vector machine (SVM) modeling with a deep convolutional neural networks (CNNs) approach to accurately identify solar PV arrays and characterize each solar deployment. We evaluate SolarFinder using 269,632 satellite images that include 1,143,636 contours from 13 geospatial regions in U.S. We find that pre-trained-SolarFinder yields a Matthews Correlation Coefficient (MCC) of 0.17, which is 3 times better than the most recent: pre-trained CNNs approach and the same as a re-trained CNNs approach.

关键词： Solar Detection Deep Learning Image processing Energy

来源：评论

学校读者我要写书评

暂无评论

SolarFinder: Automatic Detection of Solar Photovoltaic Arrays

SolarFinder: Automatic Detection of Solar Photovoltaic Array...

引用

international Symposium on information processing in sensor networks (ipsn)

作者： Qi Li Yuzhou Feng Yuyang Leng Dong Chen Florida International University

ISBN: (数字)9781728154978

ISBN: (纸本)9781728154985

Smart cities, utilities, third-parties, and government agencies are having pressure on managing stochastic power generation from distributed rooftop solar photovoltaic (PV) arrays, such as predicting and reacting to the variations in electric grid. Recently, there is a rising interest to identify solar PV arrays automatically and passively. Traditional approaches such as online assessment and utilities interconnection filings are time consuming and costly, and limited in geospatial resolution, and thus do not scale up to every location. Significant recent work focuses on using aerial imagery to train machine learning or deep learning models to automatically detect solar PV arrays. Unfortunately, these approaches typically require Very High Resolution (VHR) images and human handcrafted solar PV array templates for training, which have a minimum cost of $15 per km 2 and are not always available at every *** address the problem, we design a new system-SolarFinder that can automatically detect distributed solar PV arrays in a given geospatial region without any extra cost. SolarFinder first automatically fetches regular resolution satellite images within the region using publicly-available imagery APIs. then, SolarFinder leverages multi-dimensional K-means algorithm to automatically segment solar arrays on rooftop images. Eventually, SolarFinder employs hybrid linear regression approach that integrates support vector machine (SVM) modeling with a deep convolutional neural networks (CNNs) approach to accurately identify solar PV arrays and characterize each solar deployment. We evaluate SolarFinder using 269,632 satellite images that include 1,143,636 contours from 13 geospatial regions in U.S. We find that pre-trained SolarFinder yields a Matthews Correlation Coefficient (MCC) of 0.17, which is 3 times better than the most recent pre-trained CNNs approach and the same as a re-trained CNNs approach.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Monitoring Meteorological Parameters With Crowdsourced Air Traffic Control Data 17

Monitoring Meteorological Parameters With Crowdsourced Air T...

引用

17th acm/ieee international conference on information processing in sensor networks (ipsn)

作者： Trub, Roman Moser, Daniel Schafer, Matthias Pinheiro, Rui Lenders, Vincent Swiss Fed Inst Technol Zurich Switzerland Swiss Fed Inst Technol Dept Comp Sci Zurich Switzerland TU Kaiserslautern Kaiserslautern Germany OpenSky Network Burgdorf Switzerland Skysquitter GbR Hattersheim Germany Armasuisse Bern Switzerland

ISBN: (纸本)9781538652985

Up-to-date meteorological information about upper air conditions is crucial for accurate weather modeling and forecasting. Existing techniques to sense meteorological parameters in the atmosphere are costly and provide only limited temporal and spatial sensing resolutions. In this paper, we propose crowdsourcing air traffic control data as a new cost-efficient method to achieve a high temporal and spatial resolution, and large coverage. Our solution leverages Secondary Surveillance Radar Mode S and ADS-B transponder signals that are continuously transmitted by aircraft for air traffic control purposes. It builds on signals captured by the OpenSky Network, a global-scale sensor network crowdsourcing 15+ billions of transponder messages per day from aircraft up to an altitude of 13 km. Based on the decoded data, we infer meteorological conditions such as air temperature, wind speed, wind direction and atmospheric pressure. Our evaluation demonstrates that our approach is effective at estimating these parameters with high resolutions along the tracks of more than 50 percent of all aircraft monitored by the OpenSky Network. Our method delivers estimations for temperature with 0.11 degrees C, wind speed with 0.09 m/s, wind direction with 1.00 degrees, and air pressure with 0.10 hPa average deviation, making those measurements suitable for the assimilation in numerical weather models.

关键词： crowdsourcing atmosphere meteorology air traffic control sensor network temperature wind pressure

来源：评论

学校读者我要写书评

暂无评论

Natural timestamps in powerline electromagnetic radiation

Natural timestamps in powerline electromagnetic radiation

引用

作者： Li, Yang Tan, Rui Yau, David K. Y. Advanced Digital Sciences Center Illinois at Singapore Pte Ltd. 1 Create Way #14-02 Create Tower Singapore138602 Singapore School of Computer Science and Engineering Nanyang Technological University N4-02C-85 50 Nanyang Avenue Singapore639798 Singapore Information Systems Technology and Design Singapore University of Technology and Design 8 Somapah Road Building 1 Level 5 Singapore487372 Singapore

the continuous fluctuation of electric network frequency (ENF) presents a fingerprint indicative of time, which we call natural timestamp. this article studies the time accuracy of these natural timestamps obtained from powerline electromagnetic radiation (EMR), which is mainly excited by powerline voltage oscillations at the rate of the ENF. However, since the EMR signal is often weak and noisy, extracting the ENF is challenging, especially on resource-limited sensor platforms. We design an efficient EMR conditioning algorithm and evaluate the time accuracy of EMR natural timestamps on two representative classes of IoT platforms-a high-end single-board computer with a customized EMR antenna and a low-end mote with a normal conductor wire acting as EMR antenna. Extensive measurements at six sites in a city, which are away from each other for up to 24km, show that the high-end and low-end nodes achieve median time errors of about 50ms and 150ms, respectively. To demonstrate the use of the EMR natural timestamps, we discuss three applications: time recovery, runtime clock verification, and secure clock synchronization. © 2018 acm.

关键词： sensor networks

来源：评论

学校读者我要写书评

暂无评论

Demo Abstract: Natural Timestamping Using Electrical Power Grid 16

Demo Abstract: Natural Timestamping Using Electrical Power G...

引用

16th acm/ieee international conference on information processing in sensor networks (ipsn)

作者： Viswanathan, Sreejaya Li, Yang Tan, Rui Adv Digital Sci Ctr Illinois Singapore 1 Fusionopolis Way08-10 Connexis North Tower Singapore 138632 Singapore Nanyang Technol Univ Comp Sci & Engn N4-02C-8550 Nanyang Ave Singapore 639798 Singapore

ISBN: (纸本)9781450348904

the continuous fluctuation of electric network frequency (ENF) presents a fingerprint indicative of time, which we call natural timestamp. this live demo demonstrates the accuracy of the natural timestamps obtained by four wired voltage sensors and four wireless electromagnetic radiation (EMR) sensors that are geographically distributed in Singapore. the voltage sensors and the EMR sensors capture the minute fluctuations of the length of each voltage cycle and the average ENF over every 50 voltage cycles, respectively. the evaluation in our prior studies [1, 3] has shown that the natural timestamps recorded by the voltage sensors and the EMR sensors give sub-millisecond and sub-second average time errors, respectively. this demo will also show their time errors.

关键词： Timestamping sensor networks power grid

来源：评论

学校读者我要写书评

暂无评论

Natural Timestamping Using Powerline Electromagnetic Radiation 16

Natural Timestamping Using Powerline Electromagnetic Radiati...

引用

16th acm/ieee international conference on information processing in sensor networks (ipsn)

作者： Li, Yang Tan, Rui Yau, David K. Y. Adv Digital Sci Ctr Illinois Singapore 1 Fusionopolis Way08-10 ConnexisNorth Tower Singapore 138632 Singapore Nanyang Technol Univ Sch Comp Sci & Engn 50 Nanyang Ave Singapore 639798 Singapore Singapore Univ Technol & Design Informat Syst Technol & Design 8 Somapah Rd Singapore 487372 Singapore

ISBN: (纸本)9781450348904

the continuous fluctuation of electric network frequency (ENF) presents a fingerprint indicative of time, which we call natural timestamp. this paper studies the time accuracy of these natural timestamps obtained from powerline electromagnetic radiation (EMR), which is mainly excited by powerline voltage oscillations at the rate of the ENF. However, since the EMR signal is often weak and noisy, extracting the ENF is challenging, especially on resource-limited sensor platforms. We design an efficient EMR conditioning algorithm and evaluate the time accuracy of EMR natural timestamps on two representative classes of IoT platforms - a high-end single-board computer with a customized EMR antenna and a low-end mote with a normal conductor wire acting as EMR antenna. Extensive measurements at five sites in a city, which are away from each other for up to 24 km, show that the high-end and low-end nodes achieve median time errors of about 50 ms and 150 ms, respectively. To demonstrate the use of the EMR natural timestamps, we discuss two applications, namely time recovery and runtime clock verification.

关键词： Timestamping electromagnetic radiation sensor networks

来源：评论

学校读者我要写书评

暂无评论

A ENERGY-ORIENTED DISTRIBUTED TDMA SCHEDULING ALGORIthM FOR WIRELESS sensor networks 13

A ENERGY-ORIENTED DISTRIBUTED TDMA SCHEDULING ALGORITHM FOR ...

引用

13th ieee international Computer conference on Wavelet Active Media Technology and information processing (ICCWAMTIP)

作者： Zeng, Jun Zhang, Xiao-Tong Tang, Jing Wang, Peng Bai, Hongying Ma, Fuqiang Zhao, Xuan Univ Sci & Technol Beijing Sch Comp & Commun Engn Beijing 100083 Peoples R China Univ Sci & Technol Beijing Sch Mech Engn Beijing 100083 Peoples R China

ISBN: (纸本)9781509061266

Considering the industrial field, the problems of limited energy and changed topology of the network restrict the development of the centralized resource allocation. Although the traditional distributed resource allocation algorithm solves the network topology change partly, there is still no breakthrough in terms of energy consumption. In this paper, we simulate the Distributed Randomized TDMA scheduling (DRAND) on the OMNeT++ platform, and it was found that the resource allocation algorithm based on random probability leads to a high collision of the message, which results in the waste of energy. According to the above questions, the author propose a dynamic priority allocation algorithm called RE-DRAND. Compared with DRAND, the algorithm can obviously reduce the execution time about 28.6%, and it provides a solution of topology changes and scarce energy problems in the industrial wireless sensor networks and the traditional self-organizing networks.

关键词： Wireless sensor networks(WSNs) media access control distributed residual energy

来源：评论

学校读者我要写书评

暂无评论

Topic-Aware Social Sensing with Arbitrary Source Dependency Graphs

Topic-Aware Social Sensing with Arbitrary Source Dependency ...

引用

international Symposium on information processing in sensor networks (ipsn)

作者： Chao Huang Dong Wang Department of Computer Science and Engineering University of Notre Dame Notre Dame IN

this work is motivated by the emergence of social sensing as a new paradigm of collecting observations about the physical environment from humans or devices on their behalf. these observations may be true or false, and hence are viewed as binary claims. A fundamental problem in social sensing applications lies in ascertaining the correctness of claims and the reliability of data sources without knowing either of them a priori. We refer to this problem as truth discovery. Prior works have made significant progress to addressing the truth discovery problem, but two significant limitations exist: (i) they ignored the fact that claims reported in social sensing applications can be either relevant or irrelevant to the topic of interests. (ii) they either assumed the data sources to be independent or the source dependency graphs can be represented as a set of disjoint trees. these limitations led to suboptimal truth discovery results. In contrast, this paper presents the first social sensing framework that explicitly incorporates the topic relevance feature of claims and arbitrary source dependency graphs into the solutions of truth discovery problem. the new framework solves a multidimensional maximum likelihood estimation problem to jointly estimate the truthfulness and topic relevance of claims as well as the reliability and topic awareness of sources. We compared our new scheme with the state-of-the-art truth discovery solutions using three real world data traces collected from Twitter in the aftermath of Paris Shooting event (2015), Hurricane Arthur (2014) and Boston Bombing event (2013) respectively. the evaluation results showed that our schemes significantly outperform the compared baselines by identifying more relevant and truthful claims in the truth discovery results.

关键词： sensors Reliability Twitter Maximum likelihood estimation Media Wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

Reducing Multi-Hop Calibration Errors in Large-Scale Mobile sensor networks 14

Reducing Multi-Hop Calibration Errors in Large-Scale Mobile ...

引用

14th ieee/acm international conference on information processing in sensor networks (ipsn)

作者： Saukh, Olga Hasenfratz, David thiele, Lothar Swiss Fed Inst Technol Comp Engn & Networks Lab Zurich Switzerland

ISBN: (纸本)9781450334754

Frequent sensor calibration is essential in sensor networks with low-cost sensors. We exploit the fact that temporally and spatially close measurements of different sensors measuring the same phenomenon are similar. Hence, when calibrating a sensor, we adjust its calibration parameters to minimize the differences between co-located measurements of previously calibrated sensors. In turn, freshly calibrated sensors can now be used to calibrate other sensors in the network, referred to as multi-hop calibration. We are the first to study multi-hop calibration with respect to a reference signal (micro-calibration) in detail. We show that ordinary least squares regression-commonly used to calibrate noisy sensors-suffers from significant error accumulation over multiple hops. In this paper, we propose a novel multi-hop calibration algorithm using geometric mean regression, which (i) highly reduces error propagation in the network, (ii) distinctly outperforms ordinary least squares in the multi-hop scenario, and (iii) requires considerably fewer ground truth measurements compared to existing network calibration algorithms. the proposed algorithm is especially valuable when calibrating large networks of heterogeneous sensors with different noise characteristics. We provide theoretical justifications for our claims. then, we conduct a detailed analysis with artificial data to study calibration accuracy under various settings and to identify different error sources. Finally, we use our algorithm to accurately calibrate 13 million temperature, ground ozone (O-3), and carbon monoxide (CO) measurements gathered by our mobile air pollution monitoring network.

关键词： Calibration

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共5页 << < 1 2 3 4 5 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：