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» Compiling business process models for sensor networks
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HICSS
2006
IEEE
132views Biometrics» more  HICSS 2006»
14 years 1 months ago
Supporting the Module Sequencing Decision in the ERP Implementation Process
An important part of the Enterprise Resource Planning (ERP) system implementation process is the decision, which modules are implemented and in which order. We posit that the deci...
Petri Hallikainen, Harri Kimpimäki, Hannu Kiv...
DATE
2009
IEEE
131views Hardware» more  DATE 2009»
14 years 2 months ago
Communication minimization for in-network processing in body sensor networks: A buffer assignment technique
—Body sensor networks are emerging as a promising platform for healthcare monitoring. These systems are composed of battery-operated embedded devices which process physiological ...
Hassan Ghasemzadeh, Nisha Jain, Marco Sgroi, Roozb...
DMSN
2007
ACM
13 years 11 months ago
Declarative temporal data models for sensor-driven query processing
Many sensor network applications monitor continuous phenomena by sampling, and fit time-varying models that capture the phenomena's behaviors. We introduce Pulse, a framework...
Yanif Ahmad, Ugur Çetintemel
ICDCS
2008
IEEE
14 years 2 months ago
Toward Predictive Failure Management for Distributed Stream Processing Systems
Distributed stream processing systems (DSPSs) have many important applications such as sensor data analysis, network security, and business intelligence. Failure management is ess...
Xiaohui Gu, Spiros Papadimitriou, Philip S. Yu, Sh...
UML
2005
Springer
14 years 1 months ago
Modeling Turnpike Frontend System: A Model-Driven Development Framework Leveraging UML Metamodeling and Attribute-Oriented Progr
This paper describes and empirically evaluates a new model-driven development framework, called Modeling Turnpike (or mTurnpike). It allows developers to model and program domain-s...
Hiroshi Wada, Junichi Suzuki