462 research outputs found
Fuzzy Logic
The capability of Fuzzy Logic in the development of emerging technologies is introduced in this book. The book consists of sixteen chapters showing various applications in the field of Bioinformatics, Health, Security, Communications, Transportations, Financial Management, Energy and Environment Systems. This book is a major reference source for all those concerned with applied intelligent systems. The intended readers are researchers, engineers, medical practitioners, and graduate students interested in fuzzy logic systems
Computational intelligence approaches to robotics, automation, and control [Volume guest editors]
No abstract available
Reinforcement Learning
Brains rule the world, and brain-like computation is increasingly used in computers and electronic devices. Brain-like computation is about processing and interpreting data or directly putting forward and performing actions. Learning is a very important aspect. This book is on reinforcement learning which involves performing actions to achieve a goal. The first 11 chapters of this book describe and extend the scope of reinforcement learning. The remaining 11 chapters show that there is already wide usage in numerous fields. Reinforcement learning can tackle control tasks that are too complex for traditional, hand-designed, non-learning controllers. As learning computers can deal with technical complexities, the tasks of human operators remain to specify goals on increasingly higher levels. This book shows that reinforcement learning is a very dynamic area in terms of theory and applications and it shall stimulate and encourage new research in this field
Formation control of autonomous vehicles with emotion assessment
Autonomous driving is a major state-of-the-art step that has the potential to transform the mobility of individuals and goods fundamentally. Most developed autonomous ground vehicles (AGVs) aim to sense the surroundings and control the vehicle autonomously with limited or no driver intervention. However, humans are a vital part of such vehicle operations. Therefore, an approach to understanding human emotions and creating trust between humans and machines is necessary. This thesis proposes a novel approach for multiple AGVs, consisting of a formation controller and human emotion assessment for autonomous driving and collaboration. As the interaction between multiple AGVs is essential, the performance of two multi-robot control algorithms is analysed, and a platoon formation controller is proposed. On the other hand, as the interaction between AGVs and humans is equally essential to create trust between humans and AGVs, the human emotion assessment method is proposed and used as feedback to make autonomous decisions for AGVs. A novel simulation platform is developed for navigating multiple AGVs and testing controllers to realise this concept. Further to this simulation tool, a method is proposed to assess human emotion using the affective dimension model and physiological signals such as an electrocardiogram (ECG) and photoplethysmography (PPG). The experiments are carried out to verify that humans' felt arousal and valence levels could be measured and translated to different emotions for autonomous driving operations. A per-subject-based classification accuracy is statistically significant and validates the proposed emotion assessment method. Also, a simulation is conducted to verify AGVs' velocity control effect of different emotions on driving tasks
Improving Access and Mental Health for Youth Through Virtual Models of Care
The overall objective of this research is to evaluate the use of a mobile health smartphone application (app) to improve the mental health of youth between the ages of 14–25 years, with symptoms of anxiety/depression. This project includes 115 youth who are accessing outpatient mental health services at one of three hospitals and two community agencies. The youth and care providers are using eHealth technology to enhance care. The technology uses mobile questionnaires to help promote self-assessment and track changes to support the plan of care. The technology also allows secure virtual treatment visits that youth can participate in through mobile devices. This longitudinal study uses participatory action research with mixed methods. The majority of participants identified themselves as Caucasian (66.9%). Expectedly, the demographics revealed that Anxiety Disorders and Mood Disorders were highly prevalent within the sample (71.9% and 67.5% respectively). Findings from the qualitative summary established that both staff and youth found the software and platform beneficial
The Impact of Digital Technologies on Public Health in Developed and Developing Countries
This open access book constitutes the refereed proceedings of the 18th International Conference on String Processing and Information Retrieval, ICOST 2020, held in Hammamet, Tunisia, in June 2020.* The 17 full papers and 23 short papers presented in this volume were carefully reviewed and selected from 49 submissions. They cover topics such as: IoT and AI solutions for e-health; biomedical and health informatics; behavior and activity monitoring; behavior and activity monitoring; and wellbeing technology. *This conference was held virtually due to the COVID-19 pandemic
Computational intelligence approaches to robotics, automation, and control [Volume guest editors]
No abstract available
Decentralized data fusion and data harvesting framework for heterogeneous dynamic network systems
Diese Dissertation behandelt das Thema der dezentralisieren Sammlung und
Fusion von Daten in heterogenen, ressourcenbeschraekten und dynamischen
Netzwerkszenarien.
Dazu wird ein generisches Framework vorgestellt, dass
es erlaubt die Datensammlung, den Datenaustausch und auch die Datenfusion
dynamisch zu konfigurieren. Im Zuge dessen wird auch eine Methode zur
gerichteten Fusion von Daten auf graphentheoretischer Basis eingefrt, die
es erlaubt eine logische Struktur fuer die Fusion von Informationen zu
modellieren. Eine Markup-Sprache, die sowohl menschen- als auch
maschinenlesbar ist, erlaubt es diese Struktur leicht zu editieren.
Im
Bereich der Protokolle zum Datenaustausch liegt der Fokus dieser Arbeit auf
Energieeffizienz, um auch ressourcenbeschraenkte Geraete einzubinden. Ein
weiterer Schwerpunkt liegt auf Robustheit fuer die betrachteten dynamischen
Szenarien.
Diese Dissertation schlaet zudem Design-Richtlinien vor, um
verschiedene Ziele fuer unterschiedliche Applikationen umzusetzen. Diese
lassen sich leicht in das vorgestellte Framework integrieren und darueber
konfigurieren. Dadurch ergibt sich im Ganzen eine flexible Architektur, die
sich leicht an dynamische Umgebungen anpassen laesst.With the increasing number of available smart phones, sensor nodes, and
novel mobile smart devices such as Google glass, a large volume of data
reflecting the environment is generated in the form of sensing data sources
(such as GPS, received signal strength identification, accelerometer,
microphone, images, videos and gyroscope, etc.). Some context-aware and
data centric applications require the online processing of the data
collected. The thesis researches on the decentralized data fusion and data
harvesting framework for heterogeneous dynamic network system consisting of
various devices with resource constraints. In order to achieve the flexible
design, a general architecture is provided while the detailed data fusion
and data exchange functions can be dynamically configured. A novel method
to use directed fusion graph to model the logical structure of the
distributed information fusion architecture is introduced. This directed
fusion graph can accurately portray the interconnection among different
data fusion components and the data exchange protocols, as well as the
detailed data streams. The directed fusion graph is then transformed into a
format with marked language, so that both human and machine can easily
understand and edit. In the field of data exchange protocols, this thesis
targets energy-efficiency considering the resource constraints of the
devices and robustness, as the dynamic environment might cause failures to
the system. It proposes a refined gossip strategy to reduce retransmission
of redundant data. The thesis also suggests a design guideline to achieve
different design aims for different applications. These results in this
field can be integrated into the framework effortlessly. The configuration
mechanism is another feature of this framework. Different from other
research work which consider configuration as a post-design work separated
from the main design of any middle-ware. This thesis considers the
configuration part as another dimension of the framework. The whole
strategy in configuration sets up the foundation for the flexible
architecture, and makes it easy to adapt to the dynamic environment. The
contributions in the above fields lead to a light-weight data fusion and
data harvesting framework which can be deployed easily above wireless
based, heterogeneous, dynamic network systems, even in extreme conditions,
to handle data-centric applications
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