Improving Network Coverage and Life-Time in a Cooperative Wireless Mobile Sensor Network

Vijayan, V.; Gopinathan, E.

doi:10.1109/icacc.2014.16

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…According to [4], the image obtained is advanced through a RetinaNet based hand detector to extract the hand regions and then they are detected, extracted and passed through a light -weight Convolutional Neural Network(CNN) for recognizing the hand gestures.. In [5,14] [8,15], during the feature extraction localized contour sequences and block based features are extracted which helps in a much better characterisation of static hand gesture.…”

Section: Related Workmentioning

confidence: 99%

A Software based ASL Translator and ASL to Voice Emulation System

Joel¹

2020

IJITI

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Sign languages use the visual modality to convey meaning. People who are hearing and speech impaired are left behind video consultations as there is no easier way for non vocal people to communicate with vocal people and express themselves to the hearing world. Since they can't sign themselves they are forced to use a basic text chat to hold their consults. To overcome this issue, we have developed a real time software based ASL Translator and voice emulation system where the image captured is converted into predicted text. We use Deep Neural Networks like Convolutional Neural Network for performing feature extraction and the SVM classifier for classification. The system returns top and most probable predictions. We obtained an accuracy rate of 93.75%.

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Section: Related Workmentioning

confidence: 99%

A Software based ASL Translator and ASL to Voice Emulation System

Joel¹

2020

IJITI

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“…IOT [3,6] based wireless sensor network [4,7] arrangement for gathering the parked car information makes the system smart but effective use of gathered information need to be ensured otherwise the system cannot be considered as cost effective. The sensor network always suffer from coverage and network lifetime, computational complexity or cost also a challenging issue here.…”

Section: Introductionmentioning

confidence: 99%

“…As the industrialization [5] of the world increases, the parking related issues also increased and it become crucial for the development of a city. The Expert [4] system with agent based approach or multi-agent system, fuzzy based decision making, wireless sensor based monitoring, Vehicular ad-hoc network based communication etc are the different approach used to improve the traditional parking system. Even though all the above techniques could solve few classical issues but the system performance in terms of various parameters could not be reached to the benchmark.…”

Section: Introductionmentioning

confidence: 99%

IOT based Wireless Sensor Network for Retracing the parked Vehicle

Sadasivan¹

2019

IJNS

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It is expected to be in the next 100 years, world's maximum population is going to be living in cities. Hence the usage of vehicle and its related services will be crucial. As the number of vehicles increases, parking of the vehicle in cities are going to be challenging issue, especially in terms of pollution and maintaining the eco system of the area. Many people are not interested to use traditional or automated parking area because of the difficulty they face during the usage. Even people find it difficult to trace the return path to their own vehicle. The larger number of smart car parking systems is implemented in various countries which normally solve the problem of parking space and effective utilization of utilities. But in a highly populated area safety of the people in a parking slot and retracing of the vehicle is going to be very challenging due to its nature of heterogeneous people and variety of vehicles. An IOT enabled Sensor network based Advanced parking space with camera and audio sensors will be able to collect large amount of data which can be utilized to generate interesting pattern using suitable machine learning algorithm. As the environment is complex and heterogeneous; a better optimization always will be able to provide improved safety to the people as well as vehicle in the area.

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Flood Prediction Using IoT Enabled Sensor Network and Machine Learning

Suresh¹

2020

IJCCN

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Improving Network Coverage and Life-Time in a Cooperative Wireless Mobile Sensor Network

Cited by 4 publications

References 7 publications

A Software based ASL Translator and ASL to Voice Emulation System

A Software based ASL Translator and ASL to Voice Emulation System

IOT based Wireless Sensor Network for Retracing the parked Vehicle

Flood Prediction Using IoT Enabled Sensor Network and Machine Learning

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