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논문검색

An Intelligent Neural-Wireless Sensor Network Based Schema for Energy Resources Forecast

초록

영어

The energy resources being scarce, their efficient utilization and over use remained a heated topic on International forums. The average energy consumption per person per annum is expected to cross the value of 2000 kilograms of energy/fuel resources figure. The gauged estimations are limited. There is no mechanism for regular checks on idle losses. The estimation/ predication of consumptions have been neglected for years, resulting in huge financial losses. In view of the arising problems, the paper proposes a model design based on Image Processing, Wireless Sensors Networks and Artificial Neural Networks. The model has low design cost and is ideal for miscellaneous gauged analog estimations in close-spaced industrial environments.

목차

Abstract
 1. Introduction
 2. Proposed Architecture
  Step1: Acquire the Image from the Digital Camera.
  Step2: Acquire the Required Data from the Image and Add Required Encryption to it
  Step3: Transmit the Encrypted Data to ANN Device.
  Step4: Disseminate the Information Received to their Specific Entities and Plotting the Achieved Results on Prescribed Format.
 3. An Intelligent Neural Sensor Network Based Energy Forecast Estimation Schema - Proof of Concept.
 4. An Intelligent Neural Sensor Network Based Energy Forecast Estimation Schema - A Critical Approach
 5. An Intelligent Neural Sensor Network Based Energy Forecast Estimation Schema - An Alternate Point of View
 6. Conclusion
 References

저자정보

  • Aaqif Afzaal Abbasi National University of Sciences and Technology (NUST), Islamabad
  • Asif Kamal University of Engineering and Technology, Peshawar

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