Detecting And Spotting Bomb Using Wireless Sensor Network And Expert System
Abstract & Details
Research Area
Computer Engineering
Keywords
Explosive detection
sensor networks
surveillance system
terrorist attacks
metal
Abstract
A combination of wireless bomb detection sensor/stick connected by an expert system . Surveillance is monitoring by 24X7 round the clock with effective notification systems. Entering and creation of bomb will be observed initially. The sensors/stick are connected to expert systems, which are installed at different locations and areas. Kalmann algorithm removes noise from the sensor data which is received. The expert system makes decision using ID3 algorithm and it automatically recognizes the type of bomb planted.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Karuna Ananda Gaware | Matoshri College Of Engineering And Research Centre Nashik |
| 2 | Kandekar Parineeta Subhash | Matoshri College Of Engineering And Research Centre Nashik |
| 3 | Hastak Jaya Ashok | Matoshri College Of Engineering And Research Centre Nashik |
| 4 | Khairnar Roshni Shivdas | Matoshri College Of Engineering And Research Centre Nashik |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Gaware, Karuna Ananda, Subhash, Kandekar Parineeta, Ashok, Hastak Jaya, & Shivdas, Khairnar Roshni (2019). Detecting And Spotting Bomb Using Wireless Sensor Network And Expert System. International Journal of Advance Research and Innovative Ideas In Education, 5(1), 684-687.
MLA Style
Gaware, Karuna Ananda, et al. "Detecting And Spotting Bomb Using Wireless Sensor Network And Expert System." International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 1, 2019, pp. 684-687.
IEEE Style
Karuna Ananda Gaware, Kandekar Parineeta Subhash, Hastak Jaya Ashok, and Khairnar Roshni Shivdas, "Detecting And Spotting Bomb Using Wireless Sensor Network And Expert System," International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 1, pp. 684-687, 2019.
Vancouver Style
Gaware Karuna Ananda, Subhash Kandekar Parineeta, Ashok Hastak Jaya, Shivdas Khairnar Roshni. Detecting And Spotting Bomb Using Wireless Sensor Network And Expert System. International Journal of Advance Research and Innovative Ideas In Education. 2019;5(1):684-687.
Harvard Style
Gaware, Karuna Ananda, Subhash, Kandekar Parineeta, Ashok, Hastak Jaya, & Shivdas, Khairnar Roshni (2019) 'Detecting And Spotting Bomb Using Wireless Sensor Network And Expert System', International Journal of Advance Research and Innovative Ideas In Education, 5(1), pp. 684-687.
Chicago Style
Gaware, Karuna Ananda, et al. "Detecting And Spotting Bomb Using Wireless Sensor Network And Expert System." International Journal of Advance Research and Innovative Ideas In Education 5, no. 1 (2019): 684-687.
Turabian Style
Gaware, Karuna Ananda, et al. "Detecting And Spotting Bomb Using Wireless Sensor Network And Expert System." International Journal of Advance Research and Innovative Ideas In Education 5, no. 1 (2019): 684-687.
Related Research
Comprehensive Review of Existing Chatbot Systems for Career Assistance, Resume Support, and ATS-Aware Guidance
PDF Unavailable
Development of an AI-Powered Multimodal Web Assistant with Intelligent Resume Building and ATS Enhancement
PDF Unavailable
A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
PDF Unavailable
Civic Engagement & Empowerment Platform
PDF Unavailable
Recent Developments in Microneedle Technology and Its Diverse Biomedical Applications
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
PDF Unavailable
Employee Performance Portal
PDF Unavailable