Earticle

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

키워드

저자

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

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Advanced Science and Technology

• 간기

  월간

• pISSN

  2005-4238

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605