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The form factor of mobile devices and their associated thermal dissipation characteristics present practical limits to SoC (and specifically CPU) power consumption. Multiple maximum temperature constraints interact with the thermal “time constant” of package and product to limit allowable die temperature. This can constrain maximum CPU frequency in real use cases. The co-design of product and process...
This paper proposes a new multi-objective optimization model to minimize congestion cost, load curtailment and generation cost simultaneously to restore the equilibrium of operating point of the system under contingency. The solution algorithms of the proposed method are based on the Particle Swarm Optimization (PSO) in which load curtailment and generation cost have been optimized without breaching...
This paper presents a methodology based on Particle Swarm Optimization technique for rescheduling of generation patterns to manage congestion in contingent power networks. In deregulated systems, line congestion attract additional penalties which add on to the overall operational cost to be incurred by the Independent System Operators (ISO), apart from causing limit violations, and stability problems...
This paper presents a new Multiobjective Evolutionary Algorithm (MOEA) based on decomposition, with fuzzy dominance (MOEA/DFD). The algorithm introduces a fuzzy Pareto dominance concept to compare two solutions and uses the scalar decomposition method only when one of the solutions fails to dominate the other in terms of a fuzzy dominance level. The diversity is maintained through the uniformly distributed...
We address a unique security threat that arises due to channel fragmentation (or aggregation or bonding) in dynamic spectrum access (DSA) based IEEE 802.22 networks. Typically, channel fragmentation, aggregation and bonding have been studied in the literature as a means to enhance the spectrum utilization. However, the loss of orthogonality between the spectrum bands due to channel fragmentation,...
This paper proposes a systematic method for reactive loss optimization using Genetic Algorithm (GA) and load flow analysis for deregulated transmission systems. Due to nonlinear nature of power flow, tracing the loss and power flow through the mesh network becomes more complicated. In this paper, in genetic algorithm, the loss optimization using equivalent optimal power flow model has been treated...
We discuss malicious interference based denial of service (DoS) attacks in multi-band covert timing networks using an adversarial game theoretic approach. A covert timing network operating on a set of multiple spectrum bands is considered. Each band has an associated utility which represents the critical nature of the covert data transmitted in the band. A malicious attacker wishes to cause a DoS...
A systematic analysis of the problem of determining optimal feeding strategies for immobilized enzyme reactions in fed batch bioreactor is presented in this paper. The optimal control theory is applied to a heterogeneous bioreactor model consisting of a bulk liquid phase and an immobilized enzyme phase. The optimal feeding policy and singular interval are obtained in terms of state variables alone...
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