A realization of multiple-output logic functions using an irredundant cascade is presented. First, a multiple-output function is represented by an encoded characteristic function for non-zeros (ECFN). Then, it is represented by a cascade of look-up tables (LUTs). Multiple-output functions for benchmark functions are realized by cascades of LUTs, and the number of LUTs and levels of cascades are...

Reversible functions are of interest in the design of low power CMOS circuits and in quantum computing. We describe a synthesis method for a proposed regular structure of generalized Toffoli gates. Multiple output functions are transformed into reversible functions with a minimum of number garbage outputs. The synthesis algorithm is greedy with one level look ahead. The synthesis results from b...

In this paper, we propose a new benchmark for scientific data management systems called SS-DB. This benchmark, loosely modeled on an astronomy workload, is intended to simulate applications that manipulate array-oriented data through relatively sophisticated user-defined functions. SS-DB is representative of the processing performed in a number of scientific domains in addition to astronomy, in...

in this paper, a new genetic algorithm (ga) is presented for solving the multi-mode resource-constrained project scheduling problem (mrcpsp) with minimization of project makespan as the objective subject to resource and precedence constraints. a random key and the related mode list (ml) representation scheme are used as encoding schemes and the multi-mode serial schedule generation scheme (mssg...

Results of a recent comparative experimental assessment of methods for network community detection applied to benchmark graphs indicate that the two best methods use different objective functions but a similar local search-based optimization (LSO) procedure. This observation motivates the following research question: Given the LSO optimization procedure, how much does the choice of the objectiv...

This paper presents a modified version of the water cycle algorithm (WCA). The fundamental concepts and ideas which underlie the WCA are inspired based on the observation of water cycle process and how rivers and streams flow to the sea. New concept of evaporation rate for different rivers and streams is defined so called evaporation rate based WCA (ER-WCA), which offers improvement in search. ...

This paper presents a new multi-sensor data fusion method based on the combination of wavelet transform (WT) and extended Kalman filter (EKF). Input data are first filtered by a wavelet transform via Daubechies wavelet “db4” functions and the filtered data are then fused based on variance weights in terms of minimum mean square error. The fused data are finally treated by extended Kalman filter...

Design optimization of cable-stayed bridges is a challenging optimization problem because a large number of variables is usually involved in the optimization process. For these structures the design variables are cross-sectional areas of the cables. In this study, an efficient metaheuristic algorithm namely, momentum search algorithm (MSA) is used to optimize the design of cable-stayed bridges....