The arrival of new devices and techniques has brought tracking out of the investigational stage and into the wider world. Using Wi-Fi signals is an attractive and reasonably affordable option to deal with the currently unsolved problem of widespread tracking in an indoor environment. Here we present a system which aims at overcoming weaknesses in existing Real Time Location Systems (RTLS) by us...

Despite the increasing role of the data warehouse as a strategic information source for decision makers, academic research has been lacking, especially from an organizational perspective. An exploratory study was conducted to improve general understanding of data warehousing issues from the perspective of IS success. For this, the effect of variables pertaining to system quality, information qu...

Data warehouse systems are used by decision makers for performance measurement and decision support. Measures such as the number of transactions per customer or the increase of sales during a promotion are used to recognize warning signs and to decide on future investments with regard to the strategic goals of the organization. Currently, the main focus of the data warehouse research field is o...

Data warehouse is one of the most rapidly growing areas in management information systems. With this approach, data for EIS and DSS applications is separated from operational data and stored in a separate database called a data warehouse. Some of the advantages of this approach are improved performance, better data quality, and the ability to consolidate and summarize data from heterogeneous le...

Data warehouse is a collection of huge database which is subject oriented, integrated, time-variant and non volatile. As it is a set of huge database, fast data access is the major performance parameter of any data warehouse. Generally the information retrieved from Data Warehouse is summarized or aggregated as it is required for some decision making process of organization. To retrieve such a ...

Data warehouse is considered as the core component of the modern decision support systems. Due to the major support of data warehouse in the daily transaction of an enterprise, the requirements for the design and the implementation of DW are dynamic and subjective. This dynamic nature of the data warehouse may reflect the evolution in the data warehouse. Data warehouse evolution may be focused ...

Traditional enterprise data warehouse, an integral part of decision support systems (DSS), provides a variety of granularity data to satisfy requirements of different users. It is estimated that about 80% of the information stored in data warehouse is geo-spatial related. However, traditional data warehouse cannot efficiently process spatial data. With the increasing amount of spatial data stor...

This paper presents an intelligent multi-agent system aimed at improving healthcare and assistance to elderly and dependent people in geriatric residences and their homes. The system is based on the PANGEA and HERA platforms and integrates a set of autonomous reactive and deliberative agents designed to support the carers’ activities and to guarantee that the patients are given the right care. ...

DEFINITION Extraction, Transformation, and Loading (ETL) processes are responsible for the operations taking place in the back stage of a data warehouse architecture. In a high level description of an ETL process, first, the data are extracted from the source data stores that can be On-Line Transaction Processing (OLTP) or legacy systems, files under any format, web pages, various kinds of docu...

The recent trends in logistics outsourcing have led to the need investigate 3PL (third-party logistics) industry better. However, attention has always been focused on operative performance, and role of warehouse skimmed over. This research aims define relationship between features performance indicators 3PLs, filling literature gap. provides insight into 3PLs’ way thinking, helping 3PLs identif...