Search results for "Data Science"

Blockchain Technology: Principles and Applications

2016

This paper expounds the main principles behind blockchain technology and some of its cutting-edge applications. Firstly, we present the core concepts at the heart of the blockchain, and we discuss the potential risks and drawbacks of public distributed ledgers, and the shift toward hybrid solutions. Secondly, we expose the main features of decentralized public ledger platforms. Thirdly, we show why the blockchain is a disruptive and foundational technology, and fourthly, we sketch out a list of important applications, bearing in mind the most recent evolutions.

Comparing Different Crowd Emergency Evacuation Models Based on Human Centered Sensing Criteria

2014

Emergency evacuation of crowds is a fascinating phenomenon that has attracted researchers from various fields. Better understanding of this class of crowd behavior opens up for improving evacuation policies and smarter design of buildings, increasing safety. Recently, a new class of disruptive technology has appeared: Human-centered sensing which allows crowd behavior to be monitored in real-time, and provides the basis for real-time crowd control. The question then becomes: to what degree can previous crowd models incorporate this development, and what areas need further research? In this paper, the authors provide a survey that describes some widely used crowd models and discuss the advan…

Event Reconstruction

2014

Event reconstruction is one of the most important step in digital forensic investigations. It allows investigators to have a clear view of the events that have occurred over time. Event reconstruction is a complex task which requires exploration of a large amount of events due to the pervasiveness of new technologies nowadays. Any evidence produced at the end of the investigative process must also meet the requirements of the courts, such as reproducibility, verifiability, validation, etc. After defining the most important concepts of event reconstruction, a survey of the challenges of this field and solutions proposed so far is given in this chapter. Irish Research Council Science Foundati…

Unraveling the Complexity of Tourist Experience with NFC Technology and Mobile Wallets

2014

By considering the tourist experience as a complex dynamic system, in this paper we depict the traveler as a kybernetes (κυβeρνήτης is the ancient Greek word for ‘sea captain’, ‘steersman’, or ‘governor’) in search of powerful tools to help him or her to obtain directions in the mare magnum of complexity, overcoming the fear of action and taking decisions. We focus our attention on the key role of Near Field Communication technology and mobile wallet as ‘attenuators of complexity’ in the travel and tourism industry.

Machine Learning and Creative Methods Used to Classify Customers in a CRM Systems

2013

Considering the fact that business processes are becoming more and more customer-oriented, marketing and connecting top management to the customers are extremely important, which should be given a special attention, taking into account the globalization and the increasing market competition. Due to the exponential growth of data volume, in any field, it was necessary to use and develop new methods and techniques for discovering hidden information in data, information almost impossible to be detected by traditional means, based on human analysis skills. This paper presents a pre-processing method for mining data in order to support decision makers in developing coherent and saleable strategi…

Preface to Data Mining in Biomedical Informatics and Healthcare

2013

SIGA3D: Semantic Combination of IFC and GIS to support Urban Facilities Management

2011

The interoperability of Information Systems has been a research topic for over thirty years. While some forms of heterogeneity have been settled by the adoption of standards, some domains, such as the Urban Information Modeling (UIM), require specific research. The UIM combines information from the domain of Building Information Modeling (BIM) with Geographic Information System (GIS) within a collaborative platform. Using this platform, a set of heterogeneous actors takes part in the lifecycle of the urban environment through a 3D digital model. This ambition is faced with several gaps such as resolution of semantic heterogeneity in the lifecycle management system, the resolution of structu…

Industrial Microreactor Process Development up to Production

2008

This chapter is about industrial applications of microprocess technology. Industry is not very active in publishing not only because of confidentiality reasons but also because of the absence of direct need for a corresponding profile. Thus, one cannot expect that the ongoing developments can be shown with a similar degree of completeness, clarity and detailedness, as this is possible for reviewing scientific contributions from academy with a wealth of peer-reviewed papers. Especially, the information of major interest of what has been transferred to production and how do the companies make profit with the new technology is usually kept secret. Thus, it has to be accepted that some informat…

Keeping Track of Samples in Multidisciplinary Fieldwork

2021

We here present methods, tools and results for efficiently collecting metadata and tracking samples collected in the field. The samples and metadata were collected during scientific cruises conducted by amongst others marine biologists, oceanographers, geochemists and marine geologists in the Nansen Legacy project. It is here reported on the successful development and implementation of a system for labeling, tracking and openly publishing metadata from the cruises. The results and tools have been made openly available, as they are suitable for a range of situations, from the individual scientist working in the field to large research missions.

USEDAT: USA-Europe Data Analysis Training Worldwide Program, 2019 ed.

2019

USA-Europe Data Analysis Training School (USEDAT) is a Multi-center Trans-Atlantic initiative offering hands-on training focused in both Introduction to Experimental Data Recording (NMR, MS, IR, 2DGE, EEG, etc.) and/or posterior Computational Data Analysis (Machine Learning, Complex Networks, etc.). We made emphasis on applications in for Cheminformatics, Bioinformatics, Medicinal Chemistry, Nanotechnology, Systems Biology, Biomedical Engineering, etc. The school also promotes training and knowledge of ethical and legal regulatory issues (GDPR, REACH, OECD, FDA, etc.) about data use and data protection in chemistry and biomedical research. The school is directed to researchers and students …