EAI Endorsed Transactions on Context-aware Systems and Applications

Issue 20, 2020

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

Articles
Information

Energy Efficiency to Improve Network Life Time Using Particle Swarm Optimization Algorithm
Appears in:
casa 20(20): e1

Authors:
S. Kannadhasan, S. Deepa, M. Shanmuganantham

Abstract:
Remote Sensor Networks (WSNs) have a developing innovation for different applications in reconnaissance, condition, natural surroundings observing, medicinal services and fiasco administration. It has monitor through environment by using sensing device that means of physical properties. WSN is a …Remote Sensor Networks (WSNs) have a developing innovation for different applications in reconnaissance, condition,
natural surroundings observing, medicinal services and fiasco administration. It has monitor through environment by using
sensing device that means of physical properties. WSN is a network that can transmit and receive through the wireless
medium by using the sensor devices for various nodes. There are various base stations to control final destination of data
from one place to other place. It includes the dense ad-hoc deployment, dynamic topology, spatial distribution, and
Network topology, Graph Theory with constraint the bandwidth, energy life time and memory. Based on the problem size
increases, it can require as various efforts by using the optimization techniques. This paper is to distinguish the
deficiencies in Wireless Sensor Networks the hubs have transmitted starting with one place then onto the next by utilizing
the particle swarm enhancement. PSO calculation is contrasted and the different calculations PCA, Neural system and
OPAST. Based on the algorithm, the performance analysis is done on specificity, fault detection and fault coverage. The
simulation result shows the energy life time, throughput, packet delivery ratio produces good performance when compared
to the other algorithms.
more »
Improving farmers’ net revenue in traditional context: Analytic Hierarchy Process, Expert System, and Linear Programming
Appears in:
casa 20(20): e2

Authors:
J. L.E.K Fendji, R. N. Kongne, C. Thron, B. O. Yenke, A. Ngakou, J. C. Kamgang

Abstract:
The low yield of the agricultural sector in Sub-Saharan Africa (SSA) is not solely due to the type of agriculture (mainly traditional), but also to the crop selection process which is typically based on impressions or past experience. This approach cannot always ensure an optimal crop selection e…The low yield of the agricultural sector in Sub-Saharan Africa (SSA) is not solely due to the type of agriculture (mainly
traditional), but also to the crop selection process which is typically based on impressions or past experience. This approach
cannot always ensure an optimal crop selection even for subsistence farming. To improve farmers’ net revenue, this work
proposes a three-stage approach for crop selection in the context of traditional agriculture. Firstly, since crops’ yields are
influenced by several environmental parameters, an analytic hierarchy process is used to set the weights of those parameters.
Secondly, an expert system using a rule-based inference engine is designed to determine the appropriateness of crops
depending on environmental and time constraints. Finally, the net revenue of the farmer is formulated as a linear
programming problem, considering the operating account of the various crops selected during the previous stages. In
addition, a web interface has been developed to allow farmers to benefit from the whole system. Scenarios have been
designed from a collection of crop technical itineraries, and they have been compared with the outputs of the expert system.
The result shown that the system can effectively help farmers to improve their net revenues.
more »
Reproducibility of AOD Algorithm: An Experimental evaluation for Key-Predictors Identification
Appears in:
casa 20(20): e3

Authors:
Monika Monika, Kamaldeep Kaur

Abstract:
INTRODUCTION: Today surveillance systems are widespread across the globe for monitoring of various activities. Abandoned Object Detection (AOD) and identifying its location is one of them. In this paper, we evaluated the reproducibility of an existing AOD algorithm on benchmark video datasets. …INTRODUCTION: Today surveillance systems are widespread across the globe for monitoring of various activities.
Abandoned Object Detection (AOD) and identifying its location is one of them. In this paper, we evaluated the
reproducibility of an existing AOD algorithm on benchmark video datasets.

OBJECTIVES: The purpose of the study is to identify the key predictors for developing a generalized AOD algorithm.

METHODS: The algorithm selection is performed by a detailed exploration of repositories through various research
questions (RQs).

RESULTS: After the study video summarization, Correct Detection Rate (CDR), generalized Region of Interest (ROI),
background learning, and interaction factor considered for enhancing the AOD algorithm.

CONCLUSION: Identification of suspiciousness has various measures depending upon perception, on the basis of results
explored the existing algorithm can be improved using key-predictors with observational parameters.
more »
Open Data for Environment Sensing: Crowdsourcing Geolocation Data
Appears in:
casa 20(20): e4

Authors:
Ngoan Thanh Trieu, Zachary E. S. Williams, Jean-François M. Dorville, Hiep Xuan Huynh, Vincent Rodin, Bernard Pottier

Abstract:
There are numerous situations where the digital representation of the environment appears critical for understanding and decision-making: threats on soils, water, seashores, risk of fires, pollutions are evident applications. If spatial cellular decomposition is evidence in the more common applicat…There are numerous situations where the digital representation of the environment appears critical for understanding and decision-making: threats on soils, water, seashores, risk of fires, pollutions are evident applications. If spatial cellular decomposition is evidence in the more common applications, there remains a large field for environment and activities modelling. The integration and composition of several information sources is perhaps the main difficulty with the need to deal with data interpretation and semantics inside concurrent simulators. Besides, the data on population, people's behaviours, people's perceptions are essential in environmental assessments, where the technical aspect is not counted as much as the common acceptance of impact technology. We provide a model for building environmental services with open data systems. A case study is given for getting information from the public about their relationship with freshwater and its scarcity in Jamaica.
more »
Automatic FPGA-based Hardware Accelerator Design: A Case Study with Image Processing Applications
Appears in:
casa 20(20): e5

Author:
Cuong Pham-Quoc

Abstract:
We present a case study of automatic FPGA-based hardware accelerator design using our proposed framework with the image processing domain. With the framework, the ultimate systems are optimized in both performance and energy consumption. Moreover, using the framework, designers can implement FPGA p…We present a case study of automatic FPGA-based hardware accelerator design using our proposed framework with the image processing domain. With the framework, the ultimate systems are optimized in both performance and energy consumption. Moreover, using the framework, designers can implement FPGA platforms without manually describing any hardware cores or the interconnect. The systems offer accelerations in execution time compared to traditional general purpose processors and accelerator systems designed manually. We use two applications in the image processing domain as experiments to report our work. Those are Canny edge detection and jpeg converter. The experiments are conducted in both embedded and high-performance computing platforms. Results show that we achieve overall speed-ups by up to 3.15´ and 2.87´ when compared to baseline systems in embedded and high-performance platforms, respectively. Our systems consume less energy than other FPGA-based systems by up to 66.5%.
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: 2020-05-12

Energy Efficiency to Improve Network Life Time Using Particle Swarm Optimization Algorithm

Improving farmers’ net revenue in traditional context: Analytic Hierarchy Process, Expert System, and Linear Programming

Reproducibility of AOD Algorithm: An Experimental evaluation for Key-Predictors Identification

Open Data for Environment Sensing: Crowdsourcing Geolocation Data

Automatic FPGA-based Hardware Accelerator Design: A Case Study with Image Processing Applications

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