EAI Endorsed Transactions on Context-aware Systems and Applications

Issue 22, 2020

Editor(s)-in-Chief: Phan Cong Vinh

Articles
Information

Editorial from the Editor-in-Chief
Appears in:
casa 20(22): e1

Author:
Phan Cong Vinh

Abstract:
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Essential Context-derived Reasons Formation from Context Information of Museum Ubiquitous Visitors
Appears in:
casa 20(22): e2

Authors:
Preeti Khanwalkar, Pallapa Venkataram

Abstract:
INTRODUCTION: Recent advances in ubiquitous computing technologies have enabled anywhere, anytimepersonalized services to the museum ubiquitous visitors without any explicit requests. The system utilizes visitor, device, network, and other application related context information to provide required…INTRODUCTION: Recent advances in ubiquitous computing technologies have enabled anywhere, anytimepersonalized services to the museum ubiquitous visitors without any explicit requests. The system utilizes visitor, device, network, and other application related context information to provide required services to the museum ubiquitous visitors. OBJECTIVES: In this work, we propose the formation of Essential Context-derived Reasons (ECR) from the context information of the museum ubiquitous visitors, which enables to provide required exhibit information museum services to the visitors. METHODS: Context information of museum ubiquitous visitors is acquired and processed with multiplecombinations to formulate into Composite Context which further leads to ECR. ECR provides an accurate understanding of museum ubiquitous visitor’s requirements to provide the required services. We conducted simulation with relevant context information parameters and their percentage accuracy of acquisition and evaluates the accuracy of ECR. RESULTS: Over 200 experiments, we found that for 90% context information available with high accuracy, the accuracy of CC ranges from 0.69 to 0.89, and the accuracy of ECR ranges from 0.77 to 0.95. This indicates that the effect of some of the inaccurately available context information of the museum ubiquitous visitors is proportionally mitigated by the other accurately available context information with their multiple combinations. CONCLUSION: The simulation results show that the accuracy of ECR increases with the increase in reference structures of multiple combinations of accurately available context information of the museum ubiquitous visitors, which further enables to provide required exhibit information museum services to the visitors.
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Toward Computing Linguistic Fuzzy Graphs And Applying to Illegal Immigration Problem
Appears in:
casa 20(22): e3

Authors:
Nguyen Van Han, Phan Cong Vinh

Abstract:
In this paper, we study linguistic fuzzy graph properties which consist of fuzzy paths, cut vertex and bridge. We use hedge algebra and linguistic variables for modeling to reduce complexity in computation. Modeling the Illegal immigration problem is also introduced.In this paper, we study linguistic fuzzy graph properties which consist of fuzzy paths, cut vertex and bridge. We use hedge algebra and linguistic variables for modeling to reduce complexity in computation. Modeling the Illegal immigration problem is also introduced.
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Towards an Online Empathy Assisted Counselling Web Application
Appears in:
casa 20(22): e4

Authors:
Aarif Mawani, Lawrence Nderu

Abstract:
INTRODUCTION: In today's society mental health is becoming increasingly important. As a result, more and more individuals need guidance and counselling. This care giving becomes even more important in a person’s life during times of hardship, for instance during pandemics like COVID-…INTRODUCTION: In today's society mental health is becoming increasingly important. As a result, more and more individuals need guidance and counselling. This care giving becomes even more important in a person’s life during times of hardship, for instance during pandemics like COVID-19 where social isolation makes it even more difficult to cope with mental anguish. Whereas there exist various interventions, guidance and counselling activities are not easily accessible for resource stricken communities and where it exists, then its efficacy is hard to measure. With appropriate guidance voluntary counsellors could assist fill the void for such societies and provide counselling to them for various mental anguishes thereby providing relief for such conditions some of which are quite debilitating.

OBJECTIVES: The main objective of this paper is to encourage the uptake of counselling services to resource stricken communities in particular, by leveraging technology resulting in an increased ‘counselling culture’ that has empathy at its core.

METHODS: Incorporating National Language processing (NLP) into online unstructured chat discourses during a counselling session with an end goal of achieving positive efficacies driven by empathetic approaches. These approaches were adopted after rigorous consultations with a Counselling psychologist and also via views derived from an online questionnaire sent anonymously.

RESULTS: An online web-based application that provides a counsellor the platform to provide ‘counselling services’ to persons in distress by way of chat discourses. These Chat discourses are then filtered through the IBM Watson platform providing NLP and Artificial Intelligence capabilities to undertake lexical analysis in order to derive the emotional measure of the empathy level adopted in a chat discourse. As a result of the analysis, important statistical components like Precision and Recall are adopted in measuring the performance of the solution in terms of measuring, for instance, empathy inclusivity. Once Precision and Recall values are derived, the F1 score is calculated.

CONCLUSION: This study highlighted the critical need for counselling services especially in resource-stricken areas. In addition, socio-cultural norms sometimes are an impediment to effective counselling service delivery. The approach adopted in this paper resulted in an online web-based application that not only provides chat functionalities which are put through lexical analysis from where an ‘Empathy quotient’ is derived but also leverages the Natural Language Processing and Artificial Intelligence technologies. In this way, technology can provide an effective outreach methodology that provides in the very least a first-level counselling support structure. With purposive testing undertaken, it is evident that this study needs to be taken further to cover more areas of counselling and to strengthen the adoption of artificial intelligence in order to, for instance, leverage volunteers’ efforts vis-à-vis providing counselling services.
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Review of Network on Chip Routing Algorithms
Appears in:
casa 20(22): e5

Authors:
Khurshid Ahmad, Muhammad Athar Javed Sethi

Abstract:
System on chip (SoC) is an integrated circuit in which components are communicating through the bus interconnection system. Network on chip (NoC) is a communication network for a multiprocessor system on chip (MPSoC). In NoC architecture node/ component of MPSOC are c…System on chip (SoC) is an integrated circuit in which components are communicating through the bus interconnection system. Network on chip (NoC) is a communication network for a multiprocessor system on chip (MPSoC). In NoC architecture node/ component of MPSOC are communicating through a network. The performance of NoC architecture depends on topology, routing algorithm and switching technique. In this paper, different NoC routing algorithms are review using basic parameters of NoC architecture and also provide some information about these parameters. It is concluded that most of the researchers are interested in design of the NoC routing algorithm, which efficiently transmits data from source to destination. When the routing algorithm is congestion aware, fault-tolerant, deadlock-free and live-lock free, then the latency of algorithm decreases and throughput increases.
more »

Scope

This journal is a place for highly original ideas about how CA is going to shape computing and communication of the future. Hence, it focuses on rigorous approaches and cutting-edge solutions which break new ground in dealing with the properties of CA.

Its purpose is to make a formal basis more…

Its purpose is to make a formal basis more accessible to researchers, scientists, professionals and students as well as developers and practitioners in computer science by providing them with state-of-the-art research results and future opportunities and trends.

The feature scope of topics includes all aspects of CA in both computing and communication Original papers are solicited for this journal. In particular, theoretical contributions should be formally stated and justified, and practical applications should be based on their firm formal basis.

Topics

The works that will be presented in the journal will focus on the following topics:

Context-awareness of Computation and Communication

Fundamentals:

• Context-aware models

• Context-aware control

• Context-aware algorithms

• Context-aware networks

• Context-aware compu…

The works that will be presented in the journal will focus on the following topics:

Context-awareness of Computation and Communication

Fundamentals:

• Context-aware models

• Context-aware control

• Context-aware algorithms

• Context-aware networks

• Context-aware computing

• Context-awareness calculi

• Context-awareness representation

• Context-awareness-based systems

• Logic in context-awareness

• Context-awareness reasoning

• Formal methods of context-awareness

• Context-awareness-based optimization and swarm Intelligence

• Theory, computational models and algorithms in context detection for computing

• Awareness of context in collaboration or crowdsourcing

• Context recognition and artificial intelligence (AI)

• Privacy issues

Context-aware Systems:

• Routing, transport, and reliability issues of context-aware systems

• Data dissemination and replication in context-aware systems

• Applications and middleware support, mobile social networking applications

• Mobility models and statistical analysis of mobility traces

• Context and social awareness mechanisms and algorithms

• Co-existence of opportunistic networks with infrastructure mobile wireless networks

• Service composition in autonomic and opportunistic networks

• Cognition-driven information processing and decision making

• Performance modeling, scaling laws, and fundamental limits for autonomic and opportunistic communications

• Game-theoretic insights into the operation of autonomic and opportunistic networks

• Participatory and urban sensing in autonomic and opportunistic networks

• Trust, security, and reputation in context-aware systems

• Autonomic and opportunistic communication testbeds and prototypes, measurement data from real experiments

• Socio-economic models for autonomic and opportunistic communications

• Mobile data measurement and collection platforms for context detection

• Automated systems to model and detect context

Context-aware Technologies and Applications

• Context-aware information retrieval

• Context-aware profiling, clustering, and collaborative filtering

• Machine learning for context-aware information retrieval and ontology learning

• Context-aware e-learning/tutoring

• Ubiquitous and context-aware computing

• Use of context-aware technologies in UI/HCI

• Context-aware advertising

• Recommendations for mobile users

• Context-awareness in portable devices

• Context-aware services

• Social Agents and Avatars

• Emotion and Personality

• Virtual Humans

• Autonomous Actors

• Awareness-based Animation

• Social and Conversational Agents

• Inter-Agent Communication

• Social Behavior

• Crowd Simulation

• Understanding Human Activity

• Memory and Long-term Interaction

• Context representations and signal characteristics that describe and identify the context

• Context detection algorithms/approaches using data collected with mobile devices, wearable devices, and pervasive sensors (e.g. RF sensors)

• User studies and evaluation techniques for context detection

• The novel use of context information in computing applications

• Integration of context into lifelogging applications.

• Applications of context information for the work-life balance, for a healthier life and behavior

• Applications of context information in situational or social awareness

• Application of context information in health care

• Applications of context information in industrial production

• Applications of context information in pervasive games

• Applications of context information in mobile multimedia devices

Nature of Computation and Communication

• autonomic computing/communicating

• Amorphous computing

• Artificial Intelligence

• Artificial immune computing

• Artificial Life

• Artificial neural computing

• Big data

• Biologically-inspired computing/communicating

• Cellular automata

• Cellular computing

• Collective intelligence in computing/communicating

• Collision-based computing

• Computation/communication based on chaos and dynamical systems

• Computation based on physical principles such as relativistic, optical, spatial, collision-based computing

• Cognitive computing

• Context-aware computing/communicating

• Data Mining

• DNA computing

• Evolutionary computing

• Fractal geometry

• Fuzzy computing

• Hypercomputation

• Image Processing

• Machine Learning

• Massive parallel computing

• Membrane computing

• Molecular computing

• Morphological computing

• Natural Language Processing

• Optical computing/communicating

• Physarum computing

• Quantum computing/communicating

• Relativistic computing

• Spatial computing

• Swarm intelligence in computing/communicating

• Wetware computing

DOAJ
DBLP
CrossRef
[OCLC Discovery Services](https://www.worldcat.org/title/eai-endorsed-transactions-on-context-aware-systems-and-applications/oclc/947091…

Abdur Rakib (The University of Nottingham, UK, Malaysia Campus)
Adina Magda Florea (University Politehnica of Bucharest, Romania)
Ashad Kabir (Swinburne University of Technology, Australia)
Chien-Chih Yu (National ChengChi University, Taiwan)
David Sundaram (University of Auckland, NZ)
…

Abdur Rakib (The University of Nottingham, UK, Malaysia Campus)
Adina Magda Florea (University Politehnica of Bucharest, Romania)
Ashad Kabir (Swinburne University of Technology, Australia)
Chien-Chih Yu (National ChengChi University, Taiwan)
David Sundaram (University of Auckland, NZ)
Emil Vassev (University of Limerick, Ireland)
Giacomo Cabri (Università di Modena e Reggio Emilia, Italy)
Giovanna Di Marzo Serugendo (University of Geneva, Switzerland)
Giuseppe De Pietro (ICAR-CNR, Italy)
Kurt Geihs (University of Kessel, Germany)
Mirko Viroli (University of Bologna, Italy)
Ondrej Krejcar (University of Hradec Kralove, Czech Republic)
Vangalur Alagar (Concordia University, Canada)
Muhammad Athar Javed Sethi (University of Engineering and Technology Peshawar Pakistan)
Yaser Jararweh (Jordan University of Science and Technology, Jordan)

Journal Blurb

Visit the new journal website to submit and consult our contents: https://publications.eai.eu/index.php/casa/index

Publisher: EAI
ISSN: 2409-0026
Volume: 7

Published: 2020-12-23

Editorial from the Editor-in-Chief

Essential Context-derived Reasons Formation from Context Information of Museum Ubiquitous Visitors

Toward Computing Linguistic Fuzzy Graphs And Applying to Illegal Immigration Problem

Towards an Online Empathy Assisted Counselling Web Application

Review of Network on Chip Routing Algorithms

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