We explored how people learn to cope with the limited range of electric vehicles (EVs), and examined the relationship between personality traits and the amount of practice needed to achieve a maximum available range. Data from 56 participants who leased an EV in a 6-month field study were analyzed. The amount of practice needed until a participant achieved his maximum available range was assess...

In the work presented in this paper, we use data collected from mobile users over several weeks to develop a neural network-based prediction model for the power consumed by a smartphone. Battery life is critical to the designers of smartphones, and being able to assess scenarios of power consumption, and hence energy usage is of great value. The models developed attempt to correlate power consu...

----------------------------------------------------------------------ABSTRACT----------------------------------------------------------Ever since the advent of computing, managing data has been of extreme importance. With innumerable devices getting added to network infrastructure, there has been a proportionate increase in the data which needs to be stored. With the advent of Internet of Thin...

With the prevalence of multi-user environments, it has become an increasingly challenging task to precisely identify who is doing what on an enterprise network. Current management systems that rely on inferring user identity and application usage via log files from routers and switches are not capable of accurately reporting and managing a large-scale network due to the coarseness of the collec...

This paper presents an integrated tool for performance and content analysis, management, SLA evaluation and smart presentation for video-on-demand services. The improvement in the users’ access lines has originated the appearance of several video-on-demand services. Due to the elevated resources consumption of this kind of services, it is extremely important to obtain a high-quality configurati...

Many studies of ubiquitous computing systems involve deploying a system to a group of users who will be studied through direct observation, interviews and the gathering of system log data. However, such studies are often limited in the number of participants and duration of the trial, particularly if the researchers are providing the participants with hardware. Apple’s App Store and similar app...

A temperature logger, called “Niphargus”, was developed at the Geological Survey of Belgium to monitor temperature of local natural processes with sensitivity of the order of a few hundredths of degrees to monitor temperature variability in open air, caves, soils and rivers. The newly developed instrument uses a state-of-the-art band-gap silicon temperature sensor with digital output. This sens...

The analysis techniques of system log messages (syslog messages) have a long history from when the syslog mechanism was invented. Typically, the analysis consists of two parts, one is a message template generation, and the other is finding something interesting using the messages classified by the inferred templates. It is important to generate better templates to achieve better, precise, or co...

I firms frequently employ a two-stage approach to promotional activities. In Stage 1, they attract customers to their websites through advertising. In Stage 2, firms generate sales transactions or sales leads through their website. Comprehensive assessment of the promotional performance of pure online firms requires the study of Stage 1 and of Stage 2 jointly. In this paper we develop a joint t...