원문정보
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
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