conclusions independent variables such as sex, age, hdl-c, sys-bp, bmi, smoking, cholesterol and hs-crp were considered as influencing variables, and education, marital status, disease history, height, waist circumference, diastolic blood pressure and low density lipoprotein were removed from the models. background cardiovascular disease is considered as one of the most common diseases, causing...

Abstract The objective of this chapter is to provide practical guidelines for implementing various logistic-oriented applications. In particular, part starts with a crucial point pertaining access control using KIS.Devices and external RFID readers. Subsequently, an application concerning monitoring product levels in small warehouse proposed. remaining three sections deal transportation systems...

A new statistical profile monitoring technique to monitor and detect changes in logistic profiles with an application in the tourism industry is presented in this paper. In the statistical process control literature, profile is usually referred to as a relationship between a response variable and one or more explanatory variables. In the tourism case study presented in this paper, time is consi...