Nagender Kumar Suryadevara

PhD, (Computer Science and Engineering)
Study Completed: 2014
College of Sciences

Citation

Thesis Title
Real-Time Fusion of Wireless Sensor Network Data for Wellness Determination of the Elderly in a Smart Home

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Mr Suryadevara researched a methodology for developing an efficient electronic real time data processing system to recognize the daily activity behaviour of an elderly person living alone. He investigated the ability to determine the wellness of an elderly person living alone using an artificially intelligent system. He also modelled a framework integrating temporal and spatial contextual information for determining the wellness of an elderly person. In addition, he designed and developed a novel behaviour detection process based on the observed sensor data in performing essential daily activities. His model can update the behaviour knowledge base and simultaneously execute tasks that explore the intricacies of the generated behaviour pattern. An initial decline or change in regular daily activities can suggest changes to the health and functional abilities of the elderly person. The system can incorporate, understand, and act according to the requirements of a smart home environment.

Supervisors
Prof Subhas Mukhopadhyay
Dr Ramesh Kumar Rayudu
A/Pro Ruili Wang

Publications

·   Suryadevara N.K, Mukhopadhyay S.C, Wang R, Rayudu R.K, “Forecasting the behavior of an elderly using wireless sensors data in a smart home”, Elsevier: Engineering Applications of Artificial Intelligence,Vol:26, Issue:10, Page(s):2641-2652, 5 Yr Impact Factor : 1.947 (Thomson Reuters(SCI)-World’s leading journals Review). 

 ·  Kelly S.D.T, Suryadevara N.K, Mukhopadhyay S.C, “Towards the Implementation of IoT for Environmental Condition Monitoring in Homes”, IEEE Sensors Journal, Vol: 13, Issue: 10, Page(s): 3846 – 3853, 5 Yr Impact Factor: 1.758 (Thomson Reuters (SCI)-World’s leading journals Review).

·   Suryadevara N.K, Gaddam A, Rayudu R.K, Mukhopadhyay S.C, “Wireless Sensors Network Based Safe Home to Care Elderly People: Behaviour Detection”, Elsevier: Sensors and Actuators: A Physical (2012), Vol: 186, Page(s):277-283, 5 Yr Impact Factor: 2.084 - (Thomson Reuters (SCI)-World’s leading journals Review)

·     Suryadevara N.K, Mukhopadhyay S.C, “Wireless Sensor Network Based Home Monitoring System for Wellness Determination of Elderly”, IEEE Sensors Journal, Vol: 12, Issue: 06, Page(s):1965 – 1972, 5 Yr Impact Factor: 1.758 (Thomson Reuters (SCI)-World’s leading journals Review).

·  Suryadevara N.K, Mukhopadhyay S.C, “Wireless sensors network based safe home to care elderly people: A realistic approach”, Proceedings of the IEEE Recent Advances in Intelligent Computational Systems (RAICS)-2011, DoI: 10.1109/RAICS.2011.6069262, Page(s):001–005

·Suryadevara N.K, Gaddam A, Mukhopadhyay S.C, Rayudu R.K, “Wellness  determination of inhabitant based on daily activity behaviour in real-time monitoring using  Sensor Networks”, IEEE Proceedings of the Fifth International Conference on Sensing Technology (ICST), 2011, DoI: 10.1109 /ICSensT.2011.6137025, Page(s):474–481.

·Suryadevara N.K, Gaddam A, Rayudu R.K, Mukhopadhyay S.C, “Wireless Sensors Network Based Safe Home to Care Elderly People: Behaviour Detection”, Elsevier Proceedings of the EuroSensors XXV-2011, Procedia Engineering: Vol : 25, Pages : 96-99.

  ·  Suryadevara N.K, Quazi M.T and Mukhopadhyay S.C, “Intelligent Sensing Systems for measuring Wellness Indices of the Daily Activities for the Elderly”, Proceedings of the Eighth International Conference on Intelligent Environments (IE’12)-Guanajuato-Mexico-2012, IEEE Computer Society, DOI 10.1109/IE.2012.49,Pages:-346-350

· Suryadevara, N.K, Mukhopadhyay S. C, Rayudu R.K., Huang Y.M,  “Sensor data fusion to determine wellness of an elderly in intelligent home monitoring environment”, Proceedings of IEEE International Conference Instrumentation and Measurement Technology (I2MTC)-Austria-2012, DoI:10.1109/I2MTC.2012.6229645,Page(s): 947 – 952

 · Quazi, M.T.; Mukhopadhyay, S.C.; Suryadevara, N.K.; Huang, Y.M. “Towards the smart sensors based human emotion recognition”,Proceedings of IEEE International Conference Instrumentation and Measurement Technology (I2MTC)-Austria-2012, DoI:10.1109/I2MTC.2012.6229646, Page(s):2365 – 2370.

 · Alabri, H. M.; Mukhopadhyay, S. C.; Punchihewa, G. A.; Suryadevara, N.K.; Huang, Y.M, “Comparison of applying sleep mode function to the smart wireless environmental sensing stations for extending the life time”,Proceedings of IEEE International Conference Instrumentation and Measurement Technology (I2MTC)-Austria-2012, DoI:10.1109/I2MTC.2012.6229641,Page(s):2634 – 2639.

 · Suryadevara N.K, Mukhopadhyay S.C and Rayudu R.K, “Applying SARIMA Time Series to Forecast Sleeping Activity for Wellness Model of Elderly Monitoring in Smart Home” Proceedings of the IEEE 6th International Conference on Sensing Technology (ICST), India- 2012,Page(s):157-162

· Kelly S.D.T, Suryadevara N.K and Mukhopadhyay S.C, “Integration of Zigbee-IPv6 Networks for Smart Home Sensor Data Transmission to Augment Internet of Things”, IB2COM-Australia-2012

 · Gill S.P.S, Suryadevara N.K and Mukhopadhyay S.C, “Smart Power Monitoring System Using Wireless Sensor Networks”, Proceedings of the IEEE 6th International Conference on Sensing Technology (ICST), India- 2012, Page(s):444-44

 · Suryadevara N.K, Mukhopadhyay S.C, Wang R, Rayudu R.K and Huang Y.M , “Reliable Measurement of Wireless Sensor Network Data for Forecasting Wellness of Elderly at Smart Home”, Proceedings of the IEEE International Conference on Instrumentation and Measurement Technology (I2MTC)-Minneapolis-2013, Page(s):16-21.(Top 10 of the best student papers).

·Suryadevara N.K, Quazi T, Mukhopadhyay S.C, “Smart Sensing System for Human Emotion and Behaviour Recognition”, M.K.Kundu et al. (Eds): PerMIn 2012, Springer: Perception and Machine Intelligence, Verlag Berlin Heidelberg 2012, Lecture Notes in Computer Science, Vol: 7143, pp: 11-22.

· Mukhopadhyay S.C; Suryadevara N.K;Rayudu R.K, “Are Technologies Assisted Homes Safer for the Elderly?”, Pervasive and Mobile Sensing and Computing for Healthcare, SSM12, Springer-Verlag, Berlin Heidelberg, pp:51-68, 2013.

Google Scholar Citations:http://scholar.google.com/citations?user=S28OdGMAAAAJ&hl=en

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