Simulation of human behaviours for the validation of Ambient Intelligence services: A methodological approach

2012 ◽  
Vol 4 (3) ◽  
pp. 163-181 ◽  
Author(s):  
Teresa Garcia-Valverde ◽  
Francisco Campuzano ◽  
Emilio Serrano ◽  
Ana Villa ◽  
Juan A. Botia
Keyword(s):  
Ambient Intelligence ◽  
Methodological Approach ◽  
Intelligence Services

Engineering Ambient Intelligence Services by Means of MABS

2010 ◽  
pp. 37-44 ◽  
Author(s):  
Teresa García-Valverde ◽  
Alberto García-Sola ◽  
Francisco Lopez-Marmol ◽  
Juan A. Botia
Keyword(s):  
Ambient Intelligence ◽  
Intelligence Services

Ambient Intelligence Services in IoT Environments

2019 ◽  
Author(s):  
Dmitry Korzun ◽  
Ekaterina Balandina ◽  
Alexey Kashevnik ◽  
Sergey Balandin ◽  
Fabio Viola
Keyword(s):  
Ambient Intelligence ◽  
Intelligence Services

scholarly journals A Knowledge Oriented Approach for Composing Ambient Intelligence Services

2017 ◽  
Vol 109 ◽  
pp. 584-591 ◽  
Author(s):  
Dalal Toudji ◽  
Mohamed Hilia ◽  
Karim Djouani ◽  
Abdelghani Chibani
Keyword(s):  
Ambient Intelligence ◽  
Intelligence Services ◽  
Oriented Approach

Emerging Case Studies of Ambient Intelligence Services

2019 ◽  
pp. 27-54
Keyword(s):  
Case Studies ◽  
Ambient Intelligence ◽  
Technology Development ◽  
Real Life ◽  
Use Cases ◽  
Location Awareness ◽  
Case Examples ◽  
Intelligence Services ◽  
Definition Of

Analysis of currently dominating and emerging use cases provide extremely valuable information for understanding of the key drivers of a technology development. In this chapter, the authors particularly focus on introducing and making an overview of the emerging case studies on top of the ambient intelligence technology. They discuss several case studies that illustrate opportunities and design details for development of highly personalized smart services. The chapter provides definition of the key enablers of the service smartness (e.g., location-awareness, design principles, and restrictions, etc.). The discussion on provided definitions and presented enablers is supported by a few use case examples in the field of e-tourism and e-healthcare. In addition, the chapter introduces the general principles of ZeroUI concept and role of virtual and augmented reality in delivering the new user experience. The chapter is targeted to clearly ground the book scope to the real-life use cases and most relevant trends.

Combining the real world with simulations for a robust testing of Ambient Intelligence services

2012 ◽  
Vol 42 (4) ◽  
pp. 723-746 ◽  
Author(s):  
Teresa Garcia-Valverde ◽  
Emilio Serrano ◽  
Juan A. Botia
Keyword(s):  
Real World ◽  
Ambient Intelligence ◽  
The Real ◽  
Robust Testing ◽  
Intelligence Services

Of Frames and Cultures - A Cross-Cultural Comparison of TV Newscasts

2006 ◽  
Vol 18 (4) ◽  
pp. 160-173 ◽  
Author(s):  
Maria Senokozlieva ◽  
Oliver Fischer ◽  
Gary Bente ◽  
Nicole Krämer
Keyword(s):  
Content Analysis ◽  
Arab World ◽  
Methodological Approach ◽  
Cross Cultural ◽  
Cultural Comparison ◽  
Explorative Study ◽  
Cross Cultural Comparison ◽  
Tv News ◽  
The Usa ◽  
The Relationship

Abstract. TV news are essentially cultural phenomena. Previous research suggests that the often-overlooked formal and implicit characteristics of newscasts may be systematically related to culture-specific characteristics. Investigating these characteristics by means of a frame-by-frame content analysis is identified as a particularly promising methodological approach. To examine the relationship between culture and selected formal characteristics of newscasts, we present an explorative study that compares material from the USA, the Arab world, and Germany. Results indicate that there are many significant differences, some of which are in line with expectations derived from cultural specifics. Specifically, we argue that the number of persons presented as well as the context in which they are presented can be interpreted as indicators of Individualism/Collectivism. The conclusions underline the validity of the chosen methodological approach, but also demonstrate the need for more comprehensive and theory-driven category schemes.

A novel methodological approach to systematically analyse pandemic influenza response programs within health systems

2010 ◽  
Vol 72 (08/09) ◽  
Author(s):  
A Ahmad ◽  
R Krumkamp ◽  
S Mounier-Jack ◽  
R Reintjes ◽  
R Coker
Keyword(s):  
Health Systems ◽  
Pandemic Influenza ◽  
Methodological Approach

Some statistical and CI models to predict chaotic high-frequency financial data

2020 ◽  
Vol 39 (5) ◽  
pp. 6419-6430
Author(s):  
Dusan Marcek
Keyword(s):  
Time Series Data ◽  
Moving Average ◽  
Methodological Approach ◽  
Back Propagation ◽  
Large Data ◽  
Series Data ◽  
Data Set ◽  
Training Time ◽  
Optimal Population ◽  
Forecast Time

To forecast time series data, two methodological frameworks of statistical and computational intelligence modelling are considered. The statistical methodological approach is based on the theory of invertible ARIMA (Auto-Regressive Integrated Moving Average) models with Maximum Likelihood (ML) estimating method. As a competitive tool to statistical forecasting models, we use the popular classic neural network (NN) of perceptron type. To train NN, the Back-Propagation (BP) algorithm and heuristics like genetic and micro-genetic algorithm (GA and MGA) are implemented on the large data set. A comparative analysis of selected learning methods is performed and evaluated. From performed experiments we find that the optimal population size will likely be 20 with the lowest training time from all NN trained by the evolutionary algorithms, while the prediction accuracy level is lesser, but still acceptable by managers.

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