EAI Endorsed Transactions on Ambient Systems

Issue 18, 2019

Editor(s)-in-Chief: Gongliang Liu, Silvia Gabrielli and Tiziana Catarci

Articles
Information

Denial of Service Attacks Prevention using Traﬃc Pattern Recognition over Software-Defined Network
Appears in:
amsys 19(18): e1

Authors:
Steven Schmitt, Farah I. Kandah

Abstract:
Recent trends have shown a migration of software from local machines to server-based services. These service-based networks depend on high up-times and heavy resistance in order to compete in the market. Along with this growth, denial of service attacks have equally grown. Defending against these a…Recent trends have shown a migration of software from local machines to server-based services. These service-based networks depend on high up-times and heavy resistance in order to compete in the market. Along with this growth, denial of service attacks have equally grown. Defending against these attacks has become increasingly difficult with the growth of Internet of Things and the different varieties of denial of service attacks. For this, our research offers a solution of implementing software-defined networking and real-time metric based techniques to mitigate a denial of service attack within a smaller time window than other comparable solutions. The use of our method offers both efficient attack handling and also flexibility to fit a variety of implementations. The end result being a network that can automatically adapt against new attacks based on previous network activity.
more »
A search engine dedicated to the environment around the Congo basin area: Model and Architecture
Appears in:
amsys 19(18): e2

Authors:
Mouhamadou Saliou Diallo, Ousmane Sall, Marie N’diaye, Belmond Djomo

Abstract:
Considering the environmental field around the Congo Basin area (in Central Africa), many initiatives implement and communicate on their activities via the internet, yet the information they provide remains very little exploited, even inaccessible. The data is scattered on the internet and it is qu…Considering the environmental field around the Congo Basin area (in Central Africa), many initiatives implement and communicate on their activities via the internet, yet the information they provide remains very little exploited, even inaccessible. The data is scattered on the internet and it is quite difficult to find information in a fairly precise way. Despite the existence of Internet research services (search engines) developed to facilitate the search for information in the vast data network that is the Internet, there are still concerns about quality, and the relevance of information provided in as research results. In this context, we present in this paper a construction approach and the architecture of a search engine dedicated to the environment around the Congo Basin area. This paper develops a theoretical approach that uses scientific analysis and empirical approaches to conceptualize the optimization of the relevance of the results of a thematic search engine by aggregating tools. This approach is a compilation of ideas, methods and tools that, put together, will improve the relevance of the results of a thematic research.
more »
Activity recognition evaluation via machine learning
Appears in:
amsys 19(18): e3

Authors:
A.N.A. Rameka, A.M. Connor, J. Kruse

Abstract:
With the proliferation of relatively cheap Internet of Things (IoT) devices, smart environments have been highlighted as an example of how the IoT can make our lives easier. Each of these ‘things’ produces data which can work in unison to react to its users. Machine learning makes use of this dat…With the proliferation of relatively cheap Internet of Things (IoT) devices, smart environments have been
highlighted as an example of how the IoT can make our lives easier. Each of these ‘things’ produces data
which can work in unison to react to its users. Machine learning makes use of this data to make inferences
about our habits and activities, such as our buying preferences or likely commute destinations. However, this level of human inclusion within the IoT relies on indirect inferences from the usage of these devices or
services. Activity recognition is already a widely researched area and could provide a more direct way of including humans within this system. This research explores the feasibility of using a cost effective,
unobtrusive, single modality ground-based sensor matrix to track subtle pressure changes to predict user
activity, in an effort to assess its ability to act as an intermediary interface between humans and digital
systems such as the IoT.
more »
Sensor Modalities and Fusion for Robust Indoor Localisation
Appears in:
amsys 19(18): e5

Authors:
Michał Kozłowski, Raúl Santos-Rodríguez, Robert J. Piechocki

Abstract:
The importance of accurate and efficient positioning and tracking is widely understood. However, there is a pressing lack of progress in the standardisation of methods, as well as generalised framework of their evaluation. The aim of this survey is to discuss the currently prevalent and emerging …The importance of accurate and efficient positioning and tracking is widely understood. However, there is
a pressing lack of progress in the standardisation of methods, as well as generalised framework of their
evaluation. The aim of this survey is to discuss the currently prevalent and emerging types of sensors
used for location estimation. The intent of this review is to take account of this taxonomy and to provide
a wider understanding of the current state-of-the-art. To that end, we outline various sensor modalities,
as well as popular fusion and integration techniques, discussing how their combinations can help in
various application settings. Firstly, we present the fundamental mechanics behind sensors employed by
the localisation community. Furthermore we outline the formal theory behind prominent fusion methods
and provide exhaustive implementation examples of each. Finally, we provide points for future discussion
regarding localisation sensing, fusion and integration methods.
more »
Hypoglycemic Detection by Human Breath: A Mobile Health App that Alerts Diabetics of Low Blood Glucose
Appears in:
amsys 19(18): e4

Authors:
A. Faiola, H. Vatani, M. Agarwal

Abstract:
Low blood glucose (BG) or hypoglycemia (HYPO) can lead to severe health complications such as weakness and unconsciousness. To avoid problems BG self-management is needed. We developed a non-invasive breathing system (HYPOalert) to detect HYPO in human-breath, that sends warning alerts and data vis…Low blood glucose (BG) or hypoglycemia (HYPO) can lead to severe health complications such as weakness and unconsciousness. To avoid problems BG self-management is needed. We developed a non-invasive breathing system (HYPOalert) to detect HYPO in human-breath, that sends warning alerts and data visualization to monitor progress. This paper presents two HYPOalert prototype iterations with testing results. Of 14 Type 1/2 diabetics tested, only 10% were
pleased with existing monitoring systems and 85% expressed interest in using HYPOalert more than 20x a day. The usability study showed that 92% agreed-strongly agreed with the HYPOalert design, including color/menus/navigation/typography; and 64% felt positive about the apps consistency, flexibility, and info architecture. A post-test survey provided a satisfaction score: 6.64/10, with an open-ended interview showing that HYPOalert could positively impact lifestyle practices, self-managing, and help advance an understanding of the disease.
more »

Scope

The design of Ambient Systems is a cross-disciplinary endeavour aimed at supporting and augmenting people’s activities in everyday life, by embedding computational and artificial intelligence in the distributed network of devices available in their living environment.

While technology needs to …

While technology needs to become more and more invisible to provide smart support, novel forms of user experience and multimodal interaction need to be devised to enable fluid, intuitive and appealing transitions between the physical and digital world.

This journal seeks contributions from leading experts and visionary thinkers in industry and research, about the principles, interaction paradigms, methods and applications that best can drive the future design of Ambient Systems and their human-centred, situated interfaces.

Methods and tools for the development of Pervasive Environmental infrastructure
Design of highly immersive contents for Ambient Media
Trustful mechanisms for context awareness, social sensing and inference
AIterative design and evaluation studies of multimodal interfaces
Adaptive and …

Methods and tools for the development of Pervasive Environmental infrastructure
Design of highly immersive contents for Ambient Media
Trustful mechanisms for context awareness, social sensing and inference
AIterative design and evaluation studies of multimodal interfaces
Adaptive and personalized solutions for ambient intelligence
Embodied agents and affective interfaces
Personal, social, safety and ethical issues raised by Ambient system applications, such as Domotics, Ambient Assisted Living, Pervasive Edutainment Environments

DOAJ
DBLP
CrossRef
EBSCO Discovery Service
[OCLC Discovery Services](https://www.worldcat.o…

Andrea Marin (Università Ca' Foscari, Venezia) Ambient Pervasive Sensing and Applications
Aniruddha Bhattacharjya (Tsinghua National Laboratory for Information Science and Technology, Department of Electronics Engineering, Tsinghua University, Beijing, China)
Armir Bujari (Università …

Andrea Marin (Università Ca' Foscari, Venezia) Ambient Pervasive Sensing and Applications
Aniruddha Bhattacharjya (Tsinghua National Laboratory for Information Science and Technology, Department of Electronics Engineering, Tsinghua University, Beijing, China)
Armir Bujari (Università degli Studi di Padova)
Artur Lugmayr (Curtin University)
Binh P. Nguyen (Senior Lecturer, School of Mathematics and Statistics, Victoria University of Wellington, New Zealan)
Huynh Xuan Hiep (Can Tho University, Vietnam)
Issam W. Damaj (College of Arts and Sciences, American University of Kuwait)
Chien-Chih Yu (National ChengChi University)
Vijender Kumar Solanki (CMR Institute of Technology, Autonomous, Hyderabad, TS, India)
Giacomo Cabri (Università di Modena e Reggio Emilia)
Gabriellie Peko (The University of Auckland)
Huynh Xuan Hiep (Can Tho University, Vietnam)
Juan Carlos Augusto (Middlesex University at London, UK)
Khoa X. Le (Ulster University, United Kingdom)
Loc Nguyen (Director of International Engineering and Technology Institute)
Krishna Asawa (Associate Professor)
Manik Sharma (DAV University, India)
Muhammad Athar Javed Sethi (University of Engineering and Technology Peshawar)
Nguyen Ha Huy Cuong (Quang Nam University)
Oscar Mayora (CREATE-NET, Trento, Italy)
Pedro Santos (Fraunhofer IGD, Germany)
Pietro Cipresso (Applied Technology for Neuro-Psychology Lab - IRCCS Istituto Auxologico Italiano)
Prashant Vats(FIMT, GGSIPU, Delhi, India)
Rohin Mittal (State University of New York at Buffalo, NY, United States)
Silvia Mirri (Università degli Studi di Bologna)
Shahed Mohammadi (Ragheb Isfahani Higher Education Institute, Iran)

Journal Blurb

This journal has been renamed to:

EAI Endorsed Transactions on Bioengineering and Bioinformatics

This journal has been renamed to:

EAI Endorsed Transactions on Bioengineering and Bioinformatics

Publisher: EAI
ISSN: 2032-927X
Volume: 6

Published: 2019-12-12

Denial of Service Attacks Prevention using Traﬃc Pattern Recognition over Software-Defined Network

A search engine dedicated to the environment around the Congo basin area: Model and Architecture

Activity recognition evaluation via machine learning

Sensor Modalities and Fusion for Robust Indoor Localisation

Hypoglycemic Detection by Human Breath: A Mobile Health App that Alerts Diabetics of Low Blood Glucose

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