Matrix multiplication is very important in many types of applications including image and signal processing and it depends on kernel operation. This paper presents three designs for matrix-matrix multiplication. These design reduced the requirement of hardware, increase the speed of operation which is required to different application requirements. These designs have been implemented on Xilinx ...

This paper investigates the off-line use of the dependency structure matrix genetic algorithm (DSMGA). In particular, a problemspecific crossover operator is design by performing dependency structure matrix (DSM) analysis. The advantages and disadvantages of such an off-line use are discussed. Two schemes that helps the off-line usage are proposed. Finally, those off-line schemes are demonstrat...

Engineering projects are facing a growing complexity and are thus exposed to numerous and interdependent risks. In this paper, we present a quantitative method for modelling propagation behaviour in the project risk network. The construction of the network requires the involvement of the project manager and related experts using the Design Structure Matrix (DSM) method. A matrix-based risk prop...

This study outlines a methodology for the valuation of the architecture of an integrated product or system through an appropriate level of modularization to maximize the societal value created. This method is developed through the application of the design structure matrix (DSM) and real options theory. The DSM method is utilized to develop an improved visibility estimate for non-hierarchic sys...

l a Abstract: To manage a new product development process is difficult because of the coupled tasks. Design structure matrix (DSM) is an effective tool to resolve this problem. The early research on DSM describes the tasks’ relationships by Boolean sign, and the focus of further research is how to measure the coupled strength and how to sequence the coupled tasks module. Based on the existent r...

In this section, we present a three-organization example to illustrate more about how the A and the C matrices can differ. Recall our simple example from Section IG (see Figure 1). There are two organizations, i = 1, 2, each of which has a 50% stake in the other organization. The associated crossholdings matrix C and the dependency matrix A are as follows. (Recall that Ĉii is equal to 1 minus t...

Structure-preserving numerical techniques for computation of eigenvalues and stable deflating subspaces of complex skew-Hamiltonian/Hamiltonian matrix pencils, with applications in control systems analysis and design, are presented. The techniques use specialized algorithms to exploit the structure of such matrix pencils: the skew-Hamiltonian/Hamiltonian Schur form decomposition and the periodi...

although the genome is defined by its primary sequence, its functional properties, are determined by far more complex mechanisms and depend on multiple layers of nuclear organization. the architecture of the nucleus includes two overlapping structures: the chromatin and a framework structure named the nuclear matrix. ultra-structural studies reveal that the nuclear matrix is a network consistin...