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The paper is on generic service-level management tools that enable the reconfiguration of a distributed network application whenever there are resource-level changes or failures in the underlying network sub-systems. We present a formal model-based approach for monitoring compliance and adapting the system in response. In our model, the management entity maintains policy scripts and rules to coordinate...
In this paper, we introduce reinforcement learning as a methodology to solve complex multi-criteria optimization problems for ground water monitoring. Multiple analytical criteria are used to assess design decisions and human feedback is simulated by adding random noise. Different learning automata based reinforcement learning methods as well as a genetic algorithm based method are used in experimental...
Adequate monitoring and tracking of radiation at department of energy legacy sites requires deployment of highly sensitive detectors. Utilizing the high sensitivity of inorganic scintillation materials usually requires a photomultiplier tube, which increases the cost, size, and power consumption of the detector. A gamma-ray detector consisting of a CMOS-based solid-state photomultiplier (SSPM), which...
In this paper, we present a formal framework for developing distributed service-oriented systems in an event-driven secure synchronous programming environment. More precisely, we present a synchronous programming language called SOL (Secure Operations Language) that has (i) capabilities for handling service invocations asynchronously, (ii) strong typing to ensure enforcement of information flow and...
Simple ring-oscillator circuit has been used to estimate the degradation in circuit performance due to negative bias temperature instability (NBTI) effect but it fails to isolate the degradation from the NBTI for PMOS and the positive bias temperature instability (PBTI) for NMOS in high-K dielectric/metal gate CMOS technology. In this paper, we propose new circuit structures which monitor the NBTI...
In nanoscaled technologies, increased inter-die and intra-die variations in process parameters can result in large number of parametric failures in an SRAM array, thereby, degrading yield. In this paper, we propose a self-repairing SRAM to reduce parametric failures in memory. In the proposed technique, on-chip monitoring of leakage current and/or delay of a ring oscillator is used to determine the...
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