The ability to physically cluster a database table on multiple dimensions is a powerful technique that offers significant performance benefits in many OLAP, warehousing, and decision-support systems. An industrial implementation of this technique for the DB2® Universal DatabaseTM (DB2 UDB) product, called multidimensional clustering (MDC), which co-exists with other classical forms of data stor...

With the advancement of wireless communication, Internet Things (IoT), and big data, high performance data analytic tools algorithms are required. Data clustering, a promising technique is widely used to solve IoT big-data-based problems, since it does not require labeled datasets. Recently, metaheuristic have been efficiently various clustering problems. However, handle datasets produced from ...

Wireless sensor networks (WSNs) are an emerging, fast-growing technology, and the growing interest can be attributed to new applications enabled by large-scale networks. WSN applications are used in both industrial and commercial environments, some of the applications are object tracking, habitat monitoring, fire detection, traffic monitoring, and area monitoring. We concern adaptive clustering...

This article extends environmental risk perception research by exploring how potential health risk from exposure to industrial and vehicular air pollutants, as well as other contextual and socio-demographic factors, influence racial/ethnic differences in air pollution health risk perception. Our study site is the Greater Houston metropolitan area, Texas, USA-a racially/ethnically diverse area f...

In this study, the controlability of the Kappa number in two cooking applications is investigated. The Kappa number is one of the quality measures in the pulp cooking process and usually the only on-line measurement. It is a measure of the residual lignin content in the pulp. The cooking of the pulp mainly takes place in the digester, where the significant part of the lignin is removed from the...

Software systems evolve and change with time due to change in business needs with the result that at some stage, the original design and architecture descriptions may not give exact representation of the actual software system. Accurate understanding of software architecture is very important for software maintenance because it helps in estimating scope of change, re-usability, cost, and risk i...

The aim of this paper is twofold: first, to explore the effects of industrial cluster on innovation capacity, and second, to study the impact of external resources on firms’ innovation capacity especially under Chinese regional economic policy. This is a critical subject that lacks sufficient analysis. Through years of investment and effort, several IT industrial clusters have developed in Chin...

This paper proposes a method which combines a clustering technique with asset allocation methods, to improve portfolio Sharpe ratios and weights stability. The portfolio weights are computed based on cluster members and cluster portfolios, which are decided by an optimal cluster pattern. The optimized cluster pattern tells the belonging of assets to particular clusters, which is identified by u...

Depending on the big data analysis becomes important, yield prediction using data from the semiconductor process is essential. In general, yield prediction and analysis of the causes of the failure are closely related. The purpose of this study is to analyze pattern affects the final test results using a die map based clustering. Many researches have been conducted using die data from the semic...