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International Symposium on Stochastic Models in Reliability Engineering, Life Sciences and Operations Management (SMRLO'10) 370 UPON SCHEDULING AND CONTROLLING LARGE-SCALE STOCHASTIC NETWORK PROJECTS

Doron Greenberg, Dimitri Golenko-Ginzburg
unpublished
After observing the project's output at a routine control point and introducing proper control actions the aggregated network is transformed to the initial one, and the project's realization proceeds.  ...  The problem of controlling large-size stochastic network projects of PERT type is considered. A conclusion is drawn that the need of proper control models for PERT projects is very important.  ...  International Symposium on Stochastic Models in Reliability Engineering, Life Sciences and Operations Management (SMRLO'10) 373 Step 10.  ... 
fatcat:plim6iofancbxmt3vyjlwsgxju

A Preliminary Study On Effects Of Community Structures On Epidemic Spreading And Detection In Complex Networks

Yi Yu, Gaoxi Xiao
2013 Zenodo  
Community structures widely exist in almost all real-life networks. Extensive researches have been carried out on detecting community structures in complex networks.  ...  In this work, we examine the impacts of community structures on the epidemic spreading and detection in complex networks.  ...  communities in large-scale networks [17] , and methods for detecting community structures in directed networks [18] etc.  ... 
doi:10.5281/zenodo.1088563 fatcat:5hsjy6flqnbwpilo2xhxsxu4jm

The Changing Face of Scientific and Engineering Computing

Douglass Post
2013 Computing in science & engineering (Print)  
computers, are enabling significant advances in scientific research and engineering design. for example, theoretical chemistry is now done with large-scale hpc computer applications such as the general  ...  F r o m T h e E d i t o r s 4 Copublished by the IEEE CS and the AIP 1521-9615/13/$31.00 © 2013 IEEE Computing in SCienCe & engineering F r o m T h e E d i t o r s i recently participated in a federal  ...  Computing in SCienCe & engineering F r o m T h e E d i t o r s i recently participated in a federal agency workshop to identify ways to improve the productivity of science-based high-performance computing  ... 
doi:10.1109/mcse.2013.132 fatcat:cbfl565sojbqnbd6nsxkhtoddy

Building and managing production bioclusters

Chris Dagdigian
2004 Drug Discovery Today BIOSILICO  
methods has long been used in the field of life science informatics as a way to satisfy the vast computational and data mining needs of today's researchers.  ...  Of the several existing parallel application environments the most commonly seen on life science clusters are based on the Message Passing Interface (MPI) In silico experimentation via distributed computing  ...  Grid Engine and Platform LSF in particular are both well suited for life science environments. PBS is less suited primarily because of a lack of support for array job functionality.  ... 
doi:10.1016/s1741-8364(04)02406-0 fatcat:mjjpcobs7naz5g7mvg7u4djzei

Research Status and Development Trend of Bioheuristic Computing

zhijun Chai, Zhao Li
2019 IOP Conference Series: Materials Science and Engineering  
model and computing method, so as to serve the scientific research and engineering application of human society.  ...  A few future directions and research challenges are presented, such as parallel bio-in-spired computation, bio-inspired computation with reasoning and knowledge, bio-inspired dynamics computation, bio-inspired  ...  The theories of genetics, biological immunology, nervous system and endocrinology in life science, artificial intelligence in information science, adaptive theory, optimal control and cognitive science  ... 
doi:10.1088/1757-899x/646/1/012040 fatcat:kifjbw7ou5acpm4weph564cbji

Large-scale Experiment of Power Consumption Monitoring Using Wireless Sensor Nodes
無線センサを用いた大規模電力可視化ネットワーク実証実験

Akio SUZUKI, Jun FUJIMOTO, Toshihiro ITOH, Ryutaro MAEDA
2016 Transactions of the Society of Instrument and Control Engineers  
We conducted small-and mid-scale experiments and improved the sensor network. To reveal the scale-dependent problems, a large-scale sensor network experiment was important.  ...  We have developed sensor network using wireless sensor nodes in order to increase the convenience, safety and sustainability of society.  ...  distribution of interpolation Research Center for Ubiquitous MEMS and Micro Engineering, National Institute of Advanced Industrial Science and Technology, 1-2-1 Namiki, Tsukuba * * Graduate School of  ... 
doi:10.9746/sicetr.52.698 fatcat:fieuudq2mffq5afznxvtxcpfeq

Big Data

Weike Pan, Qiang Yang, Charu Aggarwal, Christoph Koch
2017 IEEE Intelligent Systems  
Pan received a PhD in computer science and engineering from the Hong Kong University of Science and Technology. Contact him at panweike@szu.edu.cn.  ...  Qiang Yang is a chair professor and department head in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology.  ... 
doi:10.1109/mis.2017.32 fatcat:f63q5p6alnhmnl4g3wxrx3hbuu

Multi-scale methodology: a key to deciphering systems biology

Xinhao, Ye
2005 Frontiers in Bioscience  
thus has become the focus in biological science.  ...  However, it should also be noted that common systematic analysis was restricted to large-scale analysis at a certain level, while the facts that the nature of complex systems is their multi-scale structures  ...  ACKNOWLEDGEMENTS The authors gratefully acknowledge support from the China's State 9th and 10th Five Year Key Program  ... 
doi:10.2741/1590 pmid:15569634 fatcat:t426dgh5r5balpbofsq7ndkm7y

Open service networks

Jorge Cardoso
2013 Proceedings of the International C* Conference on Computer Science and Software Engineering - C3S2E '13  
The challenge consists in developing a novel perspective by connecting models representing services (e.g. cloud computing and governmental services) into networks.  ...  Theories, methods, and applications to be developed will enable, afterwards, to understand, describe, explain, analyse, predict, and control the structure and behaviour of global service networks.  ...  Service network science can change this state of affairs and explore large scale, automated analysis.  ... 
doi:10.1145/2494444.2494455 dblp:conf/c3s2e/Cardoso13 fatcat:4wq3g2v4hzhtbkrb2cecqtnrnq

Cyber-physical systems

Ragunathan (Raj) Rajkumar, Insup Lee, Lui Sha, John Stankovic
2010 Proceedings of the 47th Design Automation Conference on - DAC '10  
Cyber-physical systems (CPS) are physical and engineered systems whose operations are monitored, coordinated, controlled and integrated by a computing and communication core.  ...  Many grand challenges await in the economically vital domains of transportation, health-care, manufacturing, agriculture, energy, defense, aerospace and buildings.  ...  Acknowledgments Many participants at several CPS workshops provided valuable inputs and ideas that are captured in this article.  ... 
doi:10.1145/1837274.1837461 dblp:conf/dac/RajkumarLSS10 fatcat:bopfcjxm2bezrmd25fsczmwxeu

A Challenge To Acquire Serious Victims' Locations During Acute Period Of Giant Disasters

Keiko Shimazu, Yasuhiro Maida, Tetsuya Sugata, Daisuke Tamakoshi, Kenji Makabe, Haruki Suzuki
2018 Zenodo  
In this paper, we report how to acquire serious victims' locations in the Acute Stage of Large-scale Disasters, in an Emergency Information Network System designed by us.  ...  Therefore, we noticed that we need interdisciplinary collaboration between science of disaster medicine, regional administrative sociology, satellite communication technology and systems engineering experts  ...  This function enables the mobile network and terminals in ordinary use to shift into the information sharing system for a medical emergency at the time of large-scale disasters.  ... 
doi:10.5281/zenodo.1317337 fatcat:7o6svkvktfbzfojsuvf2bmjbru

Using Iaas To Deploy Novel Ann For Asset Management Of Rotating Equipment On Sites Across The Globe (Industry Vertical Use Case Of Data Science And Big Data

Saeed Nusri
2018 Zenodo  
RESULTS: The artificial neural networks were tested to have an accuracy of over 97% in predicting fault in equipment and over 90 % in predicting RUL.  ...  AIM: To predict health of industrial assets across the globe by deploying IoT sensors and novel neural nets on IaaS that be scaled for over a million sensors METHODOLOGY: In-house designed sensors are  ...  KEYWORDS: Infrastructure as a Service, Platform as a Service, Machine Learning, Data Science, Artificial Neural Networks, Internet of Things BIOGRAPHY: Saeed Nusri has double major in science and engineering  ... 
doi:10.5281/zenodo.1189386 fatcat:cdo4crb44vf5himodyyn42ywou

Web Science: Understanding the Emergence of Macro-Level Features on the World Wide Web

Kieron O'Hara
2013 Foundations and Trends® in Web Science  
Scale is important: large linked networks of resources, infrastructure, people and ideas will foster innovation.  ...  Yet this concept is implicit in the interpretation of Web Science as a means for understanding the emergence of phenomena at scale, abetted by digital technologies and open networked communications.  ... 
doi:10.1561/1800000017 fatcat:zuoho6y5d5divp4qkgp5hexfbe

Deep learning in bioinformatics and biomedicine

Daniel Berrar, Werner Dubitzky
2021 Briefings in Bioinformatics  
His research interests are machine learning, data science, and their applications in the life sciences. Daniel  ...  His research interests are data science and bioinformatics. Berrar is an Associate Professor in the School of Engineering, Tokyo Institute of Technology.  ... 
doi:10.1093/bib/bbab087 pmid:33693457 pmcid:PMC8485073 fatcat:znwucse3gzfcfoywxq4qp66l6m

Tracing knowledge diffusion

Chaomei Chen, Diana Hicks
2004 Scientometrics  
Knowledge diffusion is the adaptation of knowledge in a broad range of scientific and engineering research and development.  ...  In particular, we analyze patent citations in the field of tissue engineering.  ...  Tissue engineering Tissue engineering is defined as the application of principles and methods of engineering and life sciences toward fundamental understanding of structure-function relationships in normal  ... 
doi:10.1023/b:scie.0000018528.59913.48 fatcat:vfm4hl7cebepxjo6ociw2m65ou
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