Search results for "Information System"

Achieving agility and quality in product development -an empirical study of hardware startups

2020

Context: Startups aim at scaling their business, often by developing innovative products with limited human and financial resources. The development of software products in the startup context is known as opportunistic, agility-driven, and with high tolerance for technical debt. The special context of hardware startups calls for a better understanding of state-of-the-practice of hardware startups’ activities. Objective: This study aimed to identify whether and how startups can achieve product quality while maintaining focus on agility. Method: We conducted an exploratory study with 13 hardware startups, collecting data through semi-structured interviews and analysis of documentation. We pro…

Diversity in search strategies for ensemble feature selection

2005

Ensembles of learnt models constitute one of the main current directions in machine learning and data mining. Ensembles allow us to achieve higher accuracy, which is often not achievable with single models. It was shown theoretically and experimentally that in order for an ensemble to be effective, it should consist of base classifiers that have diversity in their predictions. One technique, which proved to be effective for constructing an ensemble of diverse base classifiers, is the use of different feature subsets, or so-called ensemble feature selection. Many ensemble feature selection strategies incorporate diversity as an objective in the search for the best collection of feature subse…

Problematic internet use prior to and during the COVID-19 pandemic

2021

The health and socio-economic challenges arising from the COVID-19 pandemic have led to greater reliance on the internet to meet basic needs and responsibilities. Greater engagement in online activities may have negative mental and physical health consequences for some vulnerable individuals, particularly under mandatory self-isolation or ‘lockdown’ conditions. The present study investigated whether changes in levels of involvement in online activities during the COVID-19 pandemic (i.e., watching TV series,online sexual activities, video games, social networks, gambling, online shopping, and instant messaging) were associated with problematic internet use, as well as whether certain psychol…

Improving big-data automotive applications performance through adaptive resource allocation

2019

In automotive applications, connected vehicles (CVs) can collect various information (external temperature, speed, location, etc.) and send them to a central infrastructure for exploitation in a wide range of applications: Eco-Driving, fleet management, environmental monitoring, etc. Such applications are known to generate a massive volume of data that is processed in real or near real time (i.e., data streams) depending on the target application requirements. To handle this data volume, big data architectures, based on stream computing paradigm, are usually adopted. Within this paradigm, data are continuously processed by a set of operators (elementary operations) instances. Further, a str…

Terrain data compression using wavelet-tiled pyramids for online 3D terrain visualization

2013

Last years have witnessed the widespread use of online terrain visualization applications. However, the significant improvements achieved in sensing technologies have allowed an increasing size of the terrain databases. These increasing sizes represent a serious drawback when terrain data must be transmitted and rendered at interactive rates. In this paper, we propose a novel wavelet-tiled pyramid for compressing terrain data that replaces the traditional multiresolution pyramid usually used in wavelet compression schemes. The new wavelet-tiled pyramid modifies the wavelet analysis and synthesis processes, allowing an efficient transmission and reconstruction of terrain data in those applic…

Processing privacy information and decision-making for smartphone apps among young German smartphone users

2018

While privacy behaviour is generally equated with self-disclosure, other forms of behaviour that potentially infringe an individual’s privacy, such as downloading an app, are being neglected by research. We seek to fill this gap by modelling app decision-making within a dual-process model of the attitude–behaviour relationship and the role of privacy attitudes in two kinds of information processing: (1) spontaneous, heuristic processes that rely on automated attitude activation and (2) elaborate, cognitive processes that rely on behavioural intentions to guide behaviour. We used a quasi-experimental design to investigate app decision-making processes for N = 89 participants in N = 254 decis…

Virtual Team Leadership and Collaborative Engineering Advancements

2009

A Framework for Comparing Financial Sustainability in EU Countries: National Accounts, Governmental Accounting and the Challenge of Harmonization

2019

The information prepared in accordance with the national accounts and public finance statistics criteria plays a decisive role in evaluating and comparing the financial sustainability of governments in the European Union (EU). As national accounts are prepared on the basis of information generated by governmental reporting systems, the elaboration of the information requires adjustments due to the lack of comparability of accounting systems. The chapter contains an analysis of the main differences between the two systems and the adjustments required, as well as their importance for EU countries. It includes a study of the level of correlation between the size of the adjustments and the acco…

View Planning Approach for Automatic 3D Digitization of Unknown Objects

2012

International audience; This paper addresses the view planning problem for the digitization of 3D objects without prior knowledge on their shape and presents a novel surface approach for the Next Best View (NBV) computation. The proposed method uses the concept of Mass Vector Chains (MVC) to define the global orientation of the scanned part. All of the viewpoints satisfying an orientation constraint are clustered using the Mean Shift technique to construct a first set of candidates for the NBV. Then, a weight is assigned to each mode according to the elementary orientations of its different descriptors. The NBV is chosen among the modes with the highest weights and which comply with the rob…

Using crowdsourcing for a safer society: When the crowd rules

2020

Neighbours sharing information about robberies in their district through social networking platforms, citizens and volunteers posting about the irregularities of political elections on the Internet, and internauts trying to identify a suspect of a crime: in all these situations, people who share different degrees of relationship collaborate through the Internet and other technologies to try to help with or solve an offence. The crowd, which is sometimes seen as a threat, in these cases becomes an invaluable resource that can complement law enforcement through collective intelligence. Owing to the increasing growth of such initiatives, this article conducts a systematic review of the litera…