The design of multilayer directional couplers with septum is often done using the spectral domain technique. This technique consists in taking the Fourier transform of the boundary conditions and then expressing the c...
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The design of multilayer directional couplers with septum is often done using the spectral domain technique. This technique consists in taking the Fourier transform of the boundary conditions and then expressing the charge distribution on the conductor, ρ i and the septum, ρ s as a function of G ij , the Green function . Galerkin optimization technique is then used to compute ρ i and ρ s as a summation of arbitrary chosen basis functions, e.g., equation A proper choice of basis functions determines the precision and convergence of results.
The authors have laid the foundations for a functional test generation procedure based on a cyclomatic complexity measure (CCM) and on the reduced, ordered binary decision diagram representation (ROBDD) for Boolean fu...
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The authors have laid the foundations for a functional test generation procedure based on a cyclomatic complexity measure (CCM) and on the reduced, ordered binary decision diagram representation (ROBDD) for Boolean function manipulation. The CCM has been defined for one-output and multi-output electronic circuits predicting a minimal number of test vectors. This new test generation approach, called Cyclogen, has been implemented, and the tests for several functional primitives as well as for the ISCAS-85 benchmark circuits have been generated successfully. The results show that this approach is effective and promising.< >
In Malhamé and Boukas (1991), we have shown that the transient statistical evolution of a single production manufacturing system under hedging control policies is characterized by a system of coupled partial diff...
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In Malhamé and Boukas (1991), we have shown that the transient statistical evolution of a single production manufacturing system under hedging control policies is characterized by a system of coupled partial differential equations. By exploiting the renewal structure of the controlled process, we have also derived statistical bounds on the speed of convergence to steady state. In this paper, we deal with the following questions: How does the theoretical bound in Malhamé and Boukas (1991) on the speed of convergence to steady state compare with the one obtained by numerically solving the coupled partial differential equations? Under which condition the transient regime must be considered, i.e. how short should the control horizon be that steady state based controllers start performing poorly? How are the values of a best hedging level policy affected by the length of the optimization interval?
The authors present an investigation of methods for land mobile radio (LMR) channel loading in voice dispatch systems. Queuing models for trunked LMR dispatch systems are reviewed. A decomposition approach is proposed...
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The authors present an investigation of methods for land mobile radio (LMR) channel loading in voice dispatch systems. Queuing models for trunked LMR dispatch systems are reviewed. A decomposition approach is proposed. The decomposed models take into account waiting times both at the system level and at the fleet level, as well as the traffic characteristics of many practical situations, within a consistent methodological framework. Model validation is presented, and some desiderata for monitoring these systems are formulated.< >
An adaptive motion control scheme for robotic manipulators is presented. This is an adaptive computed torque method (CTM) that requires only position measurements. These measurements and the input torques are used in ...
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An adaptive motion control scheme for robotic manipulators is presented. This is an adaptive computed torque method (CTM) that requires only position measurements. These measurements and the input torques are used in an extended Kalman filter (EKF) to estimate the inertial parameter of the full nonlinear robot model as well as the joint positions and velocities. These estimates are used by the CTM to generate the input torques. This combination of the EKF and the CTM was shown to result in a stable adaptive control scheme. Experimental results with a two-degree-of-freedom direct-drive robot illustrate the performance of this scheme.< >
This study addresses large-scale personnel scheduling problems in the service industry by combining mathematical programming with data mining techniques to enhance efficiency. The studied problem aims at efficiently s...
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This study addresses large-scale personnel scheduling problems in the service industry by combining mathematical programming with data mining techniques to enhance efficiency. The studied problem aims at efficiently scheduling skilled employees over a one-week planning horizon, minimizing costs while meeting diverse job demands. In service industries, shift planning is intricately tied to customer presence, leading to a multitude of potential shifts and a difficult optimization problem that cannot be easily solved using a commercial mixed-integer programming solver. Nevertheless, these problems are categorized as recurrent problems, where distinct instances share common characteristics and solution structures that differ only in a few parameters over time. We propose to use a data mining technique, namely, the \(k\)-nearest neighbors algorithm, to expedite the solution process while upholding solution quality. We suggest using schedules of past solutions to reduce the problem size. Thus, for an upcoming instance, we identify similar historical instances and streamline the enumeration of shifts to align with the comparable historical instances’ schedules. This approach allows us to solve the problem using a commercial solver within a reasonable timeframe while preserving solution quality. Moreover, our methodology offers decision-makers the flexibility to determine the extent to which they wish to scale down the problem. Our experiments conducted on instances generated from real historical data with up to 12 jobs and 252 employees, yield an average removal of up to 85.5% of decision variables. This resulted in an average speedup factor of up to 15.5, with a marginal average cost increase of approximately 1.2%.
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