The operation of many classical and quantum systems in nonequilibrium steady state is constrained by cost-precision (dissipation-fluctuation) tradeoff relations, delineated the thermodynamic uncertainty relation (TUR). However, coherent electronic nanojunctions can escape such a constraint, showing finite charge current nonzero entropic cost with vanishing fluctuations. Here, we analyze absence...

Exhaustive key search is the simplest attack against a cryptosystem, but it is sometimes the most realistic. This is specially true for carefully designed block ciphers for which advanced cryptanalysis (e.g. linear, differential) is not applicable. In this paper, we first update the cost of an exhaustive key search of the Data Encryption Standard (DES) using Field Programmable Gate Arrays (FPGA...

The time, quality, and cost are three important but contradictive objectives in a building construction project. It is a tough challenge for project managers to optimize them since they are different parameters. This paper presents a time-cost-quality optimization model that enables managers to optimize multiobjectives. The model is from the project breakdown structure method where task resourc...

This paper deals with the discrete time-cost tradeoff problem (DTCTP) which is well-known to be NP-hard. We propose to compute lower bounds based on Lagrangean relaxation. The basic idea is to decompose the activity-on-node network into subnetworks by relaxing some precedence constraints. Partial solutions provided by the lower bounds are used also to compute upper bounds, that is feasible solu...

Anytime algorithms offer a tradeoff between solution quality and computation time that has proved useful in applying artificial intelligence techniques to time-critical problems. To exploit this tradeoff, a system must be able to determine the best time to stop deliberation and act on the currently available solution. When the rate of improvement of solution quality is uncertain, monitoring the...

Anytime algorithms offer a tradeoff between solution quality and computation time that has proved useful in applying artificial intelligence techniques to time-critical problems. To exploit this tradeoff, a system must be able to determine the best time to stop deliberation and act on the currently available solution. When the rate of improvement of solution quality is uncertain, monitoring the...

A multiobjective optimization model integrating with high-resolution geographical data was applied to examine the optimal switchgrass supply system in Tennessee that considers both feedstock cost and greenhouse gas (GHG) emissions in the system. Results suggest that the type of land converted into switchgrass production is crucial to both plant gate cost and GHG emissions of feedstock. In addit...

It is of interest to understand the tradeoff between the communication resource comsumption and the achievable system performance in networked control systems. In this paper we explore a general framework for tradeoff analysis and decision making in such systems by studying joint quantization, estimation, and control of a hidden Markov chain. Dynamic programming is used to find the optimal quan...