Ecway Technologies provides IEEE projects and software developments from its offices located in multiple cities across Tamil Nadu, India. The company's website and contact information is provided.
The document discusses an algorithm for optimizing the autonomous deployment of mobile sensors to cover predefined Points of Interest while maintaining connectivity between the sensors and a base station. Each sensor moves toward a Point of Interest but also maintains connectivity with a subset of neighboring sensors that are part of a Relative Neighborhood Graph, which is reduced to provide global connectivity locally. The deployment scheme aims to minimize connectivity sensors and maximize monitoring sensors. Analytical results, simulations, and a practical implementation demonstrate the efficiency of the algorithm.
Predicting Autism Spectrum Disorder in Children based on Facial Morphological...Nuwan Sriyantha Bandara
Through this research presentation, we propose an autism spectrum disorder (ASD) prediction model for children using facial morphology in images and a deep convolutional neural network (via transfer learning), which collaboratively quantify the binary classification problem of distinguishing subjects with ASD from healthy subjects based on unconstrained two-dimensional images.
The corresponding oral presentation was presented at the IEEE EMBS International Student Conference 2021 - Moratuwa on 6th February 2021.
Abstract Link: http://dx.doi.org/10.13140/RG.2.2.36128.30724
Team Phantom became the International Audience Award Winner and the National Overall Winner at the ActInSpace 2020, initiated by the National Centre for Space Studies in France along with the European Space Agency. ActInSpace is an international space entrepreneurial innovation contest that is bi-annually organized in over 100 cities on 5 continents.
For the contest, team Phantom developed a front-end user-ergonomic mobile and desktop application integrated with a deep convolutional neural network to detect and predict defined air quality parameters in order to help individuals, communities, and necessary authorities to take action against the deterioration of the air quality.
Independent Study on a Pulse Oximetry IoT System Based on Powerline TechnologyNuwan Sriyantha Bandara
Since the Internet of Things (IoT) has become an emerging technology in the fourth technological paradigm, various communication technologies have been introduced to drive the IoT systems forward into commercialization. Even though Wi-Fi has proved applicable in numerous IoT systems, the drawbacks of Wi-Fi in specific environments, such as in "radio-quiet zones", have paved the way to develop alternative technologies such as the "powerline technology".
In this independent study, such an alternative approach, using powerline technology, for a clinical setting [1] has been thoroughly discussed as part of the module: IoT Design and Competition.
[1] Giovanni Bucci et al., “2019 ieee workshop on metrology for industry 4.0 and internet of things : proceedings: Naples, italy, june 4-6, 2019.”
Towards internet of things iots integration of wireless sensor network to clo...IJCNCJournal
Cloud computing provides great benefits for applications hosted on the Web that also have special
computational and storage requirements. This paper proposes an extensible and flexible architecture for
integrating Wireless Sensor Networks with the Cloud. We have used REST based Web services as an
interoperable application layer that can be directly integrated into other application domains for remote
monitoring such as e-health care services, smart homes, or even vehicular area networks (VAN). For proof
of concept, we have implemented a REST based Web services on an IP based low power WSN test bed,
which enables data access from anywhere. The alert feature has also been implemented to notify users via
email or tweets for monitoring data when they exceed values and events of interest.
Predicting Autism Spectrum Disorder in Children based on Facial Morphological...Nuwan Sriyantha Bandara
Through this research presentation, we propose an autism spectrum disorder (ASD) prediction model for children using facial morphology in images and a deep convolutional neural network (via transfer learning), which collaboratively quantify the binary classification problem of distinguishing subjects with ASD from healthy subjects based on unconstrained two-dimensional images.
The corresponding oral presentation was presented at the IEEE EMBS International Student Conference 2021 - Moratuwa on 6th February 2021.
Abstract Link: http://dx.doi.org/10.13140/RG.2.2.36128.30724
Team Phantom became the International Audience Award Winner and the National Overall Winner at the ActInSpace 2020, initiated by the National Centre for Space Studies in France along with the European Space Agency. ActInSpace is an international space entrepreneurial innovation contest that is bi-annually organized in over 100 cities on 5 continents.
For the contest, team Phantom developed a front-end user-ergonomic mobile and desktop application integrated with a deep convolutional neural network to detect and predict defined air quality parameters in order to help individuals, communities, and necessary authorities to take action against the deterioration of the air quality.
Independent Study on a Pulse Oximetry IoT System Based on Powerline TechnologyNuwan Sriyantha Bandara
Since the Internet of Things (IoT) has become an emerging technology in the fourth technological paradigm, various communication technologies have been introduced to drive the IoT systems forward into commercialization. Even though Wi-Fi has proved applicable in numerous IoT systems, the drawbacks of Wi-Fi in specific environments, such as in "radio-quiet zones", have paved the way to develop alternative technologies such as the "powerline technology".
In this independent study, such an alternative approach, using powerline technology, for a clinical setting [1] has been thoroughly discussed as part of the module: IoT Design and Competition.
[1] Giovanni Bucci et al., “2019 ieee workshop on metrology for industry 4.0 and internet of things : proceedings: Naples, italy, june 4-6, 2019.”
Towards internet of things iots integration of wireless sensor network to clo...IJCNCJournal
Cloud computing provides great benefits for applications hosted on the Web that also have special
computational and storage requirements. This paper proposes an extensible and flexible architecture for
integrating Wireless Sensor Networks with the Cloud. We have used REST based Web services as an
interoperable application layer that can be directly integrated into other application domains for remote
monitoring such as e-health care services, smart homes, or even vehicular area networks (VAN). For proof
of concept, we have implemented a REST based Web services on an IP based low power WSN test bed,
which enables data access from anywhere. The alert feature has also been implemented to notify users via
email or tweets for monitoring data when they exceed values and events of interest.
« Market Perspectives » est notre revue mensuelle des marchés. Elle présente de la façon la plus synthétique possible :
- notre analyse des principaux faits marquants et indicateurs macro susceptibles de dessiner les marchés sur le mois.
- notre vision sur les différentes classes d’actifs
Cette revue sera continument enrichie avec nos indicateurs quantitatifs.
La plupart de nos analyses sont disponibles sur www.finlightresearch.com
Our monthly publication “Market Perspectives” presents a synthetic view of all the asset classes we cover.
The report is composed of six sections covering Macro, Equities, FI & credit, FX, Commodities and Alternatives.
Each section is preceded by a summary of our views on the related asset class.
Most of our publications are available on our web site www.finlightresearch.com
YouTube Tools To The Rescue - Tots & Technology 2015Diana Benner
Come learn how to use various YouTube tools in order to safely share videos without worrying about inappropriate comments and other hazards. Also learn how to easily shorten YouTube videos so your students watch only the portions you intend.
« Market Perspectives » est notre revue mensuelle des marchés. Elle présente de la façon la plus synthétique possible :
- notre analyse des principaux faits marquants et indicateurs macro susceptibles de dessiner les marchés sur le mois.
- notre vision sur les différentes classes d’actifs
Cette revue sera continument enrichie avec nos indicateurs quantitatifs.
La plupart de nos analyses sont disponibles sur www.finlightresearch.com
Our monthly publication “Market Perspectives” presents a synthetic view of all the asset classes we cover.
The report is composed of six sections covering Macro, Equities, FI & credit, FX, Commodities and Alternatives.
Each section is preceded by a summary of our views on the related asset class.
Most of our publications are available on our web site www.finlightresearch.com
YouTube Tools To The Rescue - Tots & Technology 2015Diana Benner
Come learn how to use various YouTube tools in order to safely share videos without worrying about inappropriate comments and other hazards. Also learn how to easily shorten YouTube videos so your students watch only the portions you intend.
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Autonomous sensing order selection strategies exploiting channel access infor...
Covering points of interest with mobile sensors
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COVERING POINTS OF INTEREST WITH MOBILE SENSORS
ABSTRACT:
The coverage of Points of Interest (PoI) is a classical requirement in mobile wireless sensor
applications. Optimizing the sensors self-deployment over a PoI while maintaining the
connectivity between the sensors and the base station is thus a fundamental issue. This paper
addresses the problem of autonomous deployment of mobile sensors that need to cover a
predefined PoI with a connectivity constraint.
Our algorithm, each sensor moves toward a PoI but has also to maintain the connectivity with a
subset of its neighboring sensors that are part of the Relative Neighborhood Graph (RNG). The
Relative Neighborhood Graph reduction is chosen so that global connectivity can be provided
locally. Our deployment scheme minimizes the number of sensors used for connectivity thus
increasing the number of monitoring sensors. Analytical results, simulation results and practical
implementation are provided to show the efficiency of our algorithm.
