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RF-Based Thermal Validation and Monitoring Software for Temperature Sensitive Products

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Computational Intelligence in Data Mining

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 556))

Abstract

Pharmaceutical and healthcare industries are highly controlled industries all around the world. Nowadays, millions of temperature sensitive products are manufactured, warehoused, or circulated all over the world. For all these sensitive products, the control of temperature is essential. In some developing nations, they are offering no automated processes such as manual recordings of sensed information by supervisors of the organization or thermometers or USB Data loggers-means bringing the sensor node in contact with USB Data reader which aids as the interface between loggers and the system software and also enables pre-study programming and data can be download only after the study completion in some cases proved inefficient and most of the cases as burdensome. To overcome the problems raised by non-automated processes in this paper, RF-based temperature validation and monitoring software for Pharma, food processing, and warehouses is introduced. Reliant on the nature of the application, sensor nodes are deployed into the area of sensing where base station and loggers communicate by means of radio waves and temperature reading is recorded from base station which is connected to PC through Ethernet or USB.

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Author information

Authors and Affiliations

  1. Sri Vidyanikethan Engineering College, Tirupathi, Andhra Pradesh, India

    P. Siva Sowmya & P. Srinivasa Reddi

Authors
  1. P. Siva Sowmya
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  2. P. Srinivasa Reddi
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Correspondence to P. Siva Sowmya .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering & Information Technology, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India

    Himansu Sekhar Behera

  2. Department of CSE, National Institute of Technology (NIT), Rourkela, Odisha, India

    Durga Prasad Mohapatra

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Siva Sowmya, P., Srinivasa Reddi, P. (2017). RF-Based Thermal Validation and Monitoring Software for Temperature Sensitive Products. In: Behera, H., Mohapatra, D. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 556. Springer, Singapore. https://doi.org/10.1007/978-981-10-3874-7_24

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  • DOI: https://doi.org/10.1007/978-981-10-3874-7_24

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3873-0

  • Online ISBN: 978-981-10-3874-7

  • eBook Packages: EngineeringEngineering (R0)

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