software architecture is considered one of the most important indices of software engineering today. software architecture is a technical description of a system indicating its component structures and their relationships, and is the principles and rules governing designing. the success of the software depends on whether the system can satisfy the quality attributes. one of the most critical as...

In some statistical process control applications, the combination of both variable and attribute quality characteristics which are correlated represents the quality of the product or the process. In such processes, identification the time of manifesting the out-of-control states can help the quality engineers to eliminate the assignable causes through proper corrective actions. In this paper, f...

with regard to the society’s need for complicated software and high level of expenses on its development, it is necessary to take all stakeholders’ requirements and the demands into consideration, before any investments and put on the design and utilization stages. software architecture is a technical description of a software system that indicates components and their relationships between the...

This study investigates the impact of firm attributes on financial performance deposit money banks in Nigeria’s sector. The scope this research covered period 2007 – 2018 using audited statements and reports nine (9) listed Nigerian Stock Exchange. results revealed that bank liquidity has significant negative effect, while growth insignificant effect performance. On other hand, size leverage ha...

in some statistical process control applications, the quality of the product is characterized by thecombination of both correlated variable and attributes quality characteristics. in this paper, we propose anovel control scheme based on the combination of two multi-layer perceptron neural networks forsimultaneous monitoring of mean vector as well as the covariance matrix in multivariate-attribu...

The attribute hierarchy method (AHM) (Leighton, Gierl, & Hunka, 2004), which is based on the assumption that test items can be described by a set of hierarchically ordered attributes, is designed to estimate examinees’ level of competency as well as their profiles for mastering a set of attributes. The AHM, by incorporating the assumption of attribute dependency, brings an important cognitive p...

In some statistical process control applications, the quality of the product is characterized by thecombination of both correlated variable and attributes quality characteristics. In this paper, we propose anovel control scheme based on the combination of two multi-layer perceptron neural networks forsimultaneous monitoring of mean vector as well as the covariance matrix in multivariate-attribu...

In some statistical process control applications, the process data are not Normally distributed and characterized by the combination of both variable and attributes quality characteristics. Despite different methods which are proposed separately for monitoring multivariate and multi-attribute processes, only few methods are available in the literature for monitoring multivariate-attribute proce...

It has been demonstrated that the speech recognition performance can be improved by adding extra articulatory information, and subsequently, how to use such information effectively becomes a challenging problem. In this paper, we propose an attribute-based knowledge integration architecture which is realized by modeling and learning both acoustic and articulatory cues simultaneously in a unifor...

One of the existing problems of multi-attribute process monitoring is the occurrence of high number of false alarms (Type I error). Another problem is an increase in the probability of not detecting defects when the process is monitored by a set of independent uni-attribute control charts. In this paper, we address both of these problems and consider monitoring correlated multi-attributes proce...