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Advances in databases, computational intelligence, and pervasive computing, which allow “anytime, anywhere” transparent access to information, provide fertile ground for radical changes in pedagogy. Cyberinfrastructure leveraging these technological advances can yield improvements in both instruction and learning, supporting a networked curricular model, facilitating collaboration within and among...
Cyber-physical systems, and the intelligent decision support systems that they enable, carry the promise of greater efficacy in environmental management. The complexity of the physical infrastructure subject to decisions by environmental management systems is often an impediment to this efficacy. Other challenges include fundamental differences in the operation of cyber and physical components, and...
Sensor network has given rise to a comprehensive view of various environments through their harnessed data. Usage of the data is, however, limited since the current sensor network paradigm promotes isolated networks that are statically tasked. In recent years, users have become mobile entities that require constant access to data for efficient processing. Under the current limitations of sensor networks,...
The development of accurate models for cyber-physical systems (CPSs) is hampered by the complexity of these systems, fundamental differences in the operation of cyber and physical components, and significant interdependencies among these components. Agent-based modeling shows promise in overcoming these challenges, due to the flexibility of software agents as autonomous and intelligent decision-making...
Advances in database management, distributed computing, computational intelligence, and especially pervasive systems, provide fertile ground for radical changes in pedagogy. We propose a pervasive educational platform that builds on these technologies to facilitate customization of courses and degree programs to the needs, interests, and backgrounds of individual students. Computer-based teaching...
In cyber-physical systems (CPSs), embedded computing systems and communication capability are used to streamline and fortify the operation of a physical system. Intelligent critical infrastructure systems are among the most important CPSs and also prime examples of pervasive computing systems, as they exploit computing to provide "anytime, anywhere" transparent services. The existing body...
This paper explains the chip design of a flood prediction system based on piezoelectric pressure sensors. The sensors are placed at different water levels and can dependably predict the occurrence of a flood. The main criteria considered in the design of the system are low cost, low power consumption, ease of installation, autonomy, reliability, and most importantly, provision of early alerts. Predicting...
This paper introduces several new developments in the SmartBrick structural health monitoring platform. The system, which has been described in previous papers, provides an extremely low-power, long-term method for remote structural health monitoring. The system is capable of monitoring a diverse range of environmental and structural phenomena, including strain, vibration, tilt, and temperature; and...
Sensor Networks consist of multiple devices equipped with some sensing apparatus. The devices in the network may be homogeneous or heterogeneous, yet they will coordinate in order to accomplish a pre-defined task. With the rising interest in the use of Sensor Networks in various applications, the sensor nodes need to subsist in a dynamic environment and react in a timely fashion to environmental stimuli...
The advanced electric power grid is a cyber-physical system comprised of physical components such as power generators and transmission lines, and cyber components that control the operation of the grid. The objective of the proposed doctoral research is to develop a reliability model for the grid that reflects interdependencies among cyber and physical failures, through capturing the semantics of...
The overarching objective of the proposed doctoral researches to build a qualitative and quantitative understanding of dependability in cyber physical systems (CPS).The existing body of knowledge includes frameworks and techniques for assessment, modeling, and simulation of the physical and cyber infrastructures, respectively, but such isolated analysis is incapable of fully capturing the interdependencies...
This paper explains the chip design of a flood prediction system based on piezoelectric pressure sensors, and its FPGA prototyping. The sensors are placed at different water levels and can dependably predict the occurrence of a flood. The main criteria considered in design of the system are low cost, low power consumption, ease of installation, autonomy, reliability, and most importantly, provision...
Wireless devices can be used to monitor and record a broad range of phenomena. Their advantages include ease of installation and maintenance and considerable reduction in wiring costs. The addition of battery power and radio communication to such wireless devices can result in a completely autonomous system. The operating environment of monitoring systems is often hostile, due to temperature fluctuations,...
Wireless sensor networks are becoming a basis for a rapidly increasing range of applications. Habitat, flood, and wildfire monitoring are interesting examples of such applications. Each application has different requirements in terms of node functionalities, network size, complexity and cost; therefore, it is worthwhile time investment to design and implement a general purpose framework for wireless...
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