• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 2,331
Next 10 →

An analysis of a large scale habitat monitoring application

by Robert Szewczyk, Alan Mainwaring, Joseph Polastre, John Anderson, David Culler - IN PROCEEDINGS OF THE SECOND ACM CONFERENCE ON EMBEDDED NETWORKED SENSOR SYSTEMS (SENSYS , 2004
"... Habitat and environmental monitoring is a driving application for wireless sensor networks. We present an analysis of data from a second generation sensor networks deployed during the summer and autumn of 2003. During a 4 month deployment, these networks, consisting of 150 devices, produced unique d ..."
Abstract - Cited by 397 (19 self) - Add to MetaCart
able to accurately predict lifetime of the single-hop network, but we underestimated the impact of multihop traffic overhearing and the nuances of power source selection. While initial packet loss data was commensurate with lab experiments, over the duration of the deployment, reliability

The Coherence Predictor Cache: A Resource-Efficient and Accurate Coherence Prediction Infrastructure

by Jim Nilsson, Anders Landin, Per Stenström
"... Two-level coherence predictors have shown great promise to reduce coherence overhead in shared memory multiprocessors. However, to be accurate they require a memory overhead that on e.g. a 64-processor machine can be as high as 50%. ..."
Abstract - Cited by 6 (0 self) - Add to MetaCart
Two-level coherence predictors have shown great promise to reduce coherence overhead in shared memory multiprocessors. However, to be accurate they require a memory overhead that on e.g. a 64-processor machine can be as high as 50%.

Bug Isolation via Remote Program Sampling

by Ben Liblit, Alex Aiken, Alice X. Zheng, Michael I. Jordan - In Proceedings of the ACM SIGPLAN 2003 Conference on Programming Language Design and Implementation , 2003
"... We propose a low-overhead sampling infrastructure for gathering information from the executions experienced by a program 's user community. Several example applications illustrate ways to use sampled instrumentation to isolate bugs. Assertion-dense code can be transformed to share the cost of a ..."
Abstract - Cited by 335 (16 self) - Add to MetaCart
We propose a low-overhead sampling infrastructure for gathering information from the executions experienced by a program 's user community. Several example applications illustrate ways to use sampled instrumentation to isolate bugs. Assertion-dense code can be transformed to share the cost

Dynamically Forecasting Network Performance Using the Network Weather Service

by Rich Wolski , 1998
"... this paper, we outline its design and detail the predictive performance of the forecasts it generates. While the forecasting methods are general, we focus on their ability to predict the TCP/IP end-to-end throughput and latency that is attainable by an application using systems located at different ..."
Abstract - Cited by 291 (37 self) - Add to MetaCart
this paper, we outline its design and detail the predictive performance of the forecasts it generates. While the forecasting methods are general, we focus on their ability to predict the TCP/IP end-to-end throughput and latency that is attainable by an application using systems located at different

On the constancy of Internet path properties

by Yin Zhang, Nick Duffield, Vern Paxson, Scott Shenker - In Proceedings of ACM SIGCOMM Internet Measurement Workshop , 2001
"... Abstract — Many Internet protocols and operational procedures use measurements to guide future actions. This is an effective strategy if the quantities being measured exhibit a degree of constancy: that is, in some fundamental sense, they are not changing. In this paper we explore three different no ..."
Abstract - Cited by 294 (15 self) - Add to MetaCart
notions of constancy: mathematical, operational, and predictive. Using a large measurement dataset gathered from the NIMI infrastructure, we then apply these notions to three Internet path properties: loss, delay, and throughput. Our aim is to provide guidance as to when assumptions of various forms

Infrastructure, Geographical Disadvantage and Transport Costs

by Anthony J. Venables, A. J. Venables, Nuno Limao, Nuno Limão , 2000
"... : We use several different data sets to investigate the dependence of transport costs on geography and infrastructure. Poor infrastructure accounts for 40% of predicted transport costs for coastal countries and 60% for landlocked. Landlocked countries can substantially reduce their high transport c ..."
Abstract - Cited by 187 (7 self) - Add to MetaCart
: We use several different data sets to investigate the dependence of transport costs on geography and infrastructure. Poor infrastructure accounts for 40% of predicted transport costs for coastal countries and 60% for landlocked. Landlocked countries can substantially reduce their high transport

infrastructures

by Christopher W. Johnson
"... Abstract: On the 14th August 2003, a complex combination of immediate events and longer term vulnerabilities led to a domino-effect in which 50 million people had their power supplies interrupted. Consequent losses were between $5-10 billion. It is, therefore, one of the most serious disruptions to ..."
Abstract - Add to MetaCart
to a national power distribution network. The causes included technical issues to do with network capacity and the algorithms used to predict potential distribution problems. It also had managerial and human factors causes; these arguably included an over-reliance on automated monitoring systems

and Infrastructure

by David Newman, Youn Noh, Sarvnaz Karimi, Timothy Baldwin, Edmund Talley
"... Topic models could have a huge impact on improving the ways users find and discover content in digital libraries and search interfaces, through their ability to automatically learn and apply subject tags to each and every item in a collection, and their ability to dynamically create virtual collecti ..."
Abstract - Add to MetaCart
, Google and medline as external data sources – performs well at predicting human scores. This automated scoring of topics is an important first step to integrating topic modeling into digital libraries. 1.

Failure trends in a large disk drive population

by Eduardo Pinheiro, Wolf-dietrich Weber, Luiz André Barroso - In Proceedings of the 5th USENIX Conference on File and Storage Technologies , 2007
"... It is estimated that over 90 % of all new information produced in the world is being stored on magnetic media, most of it on hard disk drives. Despite their importance, there is relatively little published work on the failure patterns of disk drives, and the key factors that affect their lifetime. M ..."
Abstract - Cited by 240 (1 self) - Add to MetaCart
. Most available data are either based on extrapolation from accelerated aging experiments or from relatively modest sized field studies. Moreover, larger population studies rarely have the infrastructure in place to collect health signals from components in operation, which is critical information

Image Change Detection Algorithms: A Systematic Survey

by Richard J. Radke, Srinivas Andra, Omar Al-Kofahi, Badrinath Roysam - IEEE Transactions on Image Processing , 2005
"... Detecting regions of change in multiple images of the same scene taken at different times is of widespread interest due to a large number of applications in diverse disciplines, including remote sensing, surveillance, medical diagnosis and treatment, civil infrastructure, and underwater sensing. T ..."
Abstract - Cited by 236 (3 self) - Add to MetaCart
Detecting regions of change in multiple images of the same scene taken at different times is of widespread interest due to a large number of applications in diverse disciplines, including remote sensing, surveillance, medical diagnosis and treatment, civil infrastructure, and underwater sensing
Next 10 →
Results 1 - 10 of 2,331
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University