Indoor position System using KNN algorithm

Research proposal to show how KNN will increase the acuracy of Indoor Positioning Systems. The algorithms are to be tested on research tools, preferbly Omnetpp. I want two results to compare! The one with KNN algorithim and the other with only triangulation algorithms.

The algorithm uses RSSI from RFID tags to estimate the position.

Also along with KNN kalman filter is used to increase the accuracy.

I need to see openly how the algorithms works.

Kemahiran: Algoritma, Pengaturcaraan C++, GPS, Qualitative Research, Kajian Saintifik

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Tentang Majikan:
( 0 ulasan ) Tanzania, United Republic of

ID Projek: #16540596

7 pekerja bebas membida secara purata $431 untuk pekerjaan ini


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Hi, I am a telecom engineer, based in Spain, with many years of experience building custom applications for my clients. I am an expert in .NET (C#, VB.NET), WPF, Windows Services, Web Services, REST APIs, C/C++ and Lagi

$555 USD dalam 10 hari
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Hi there, I am interested in your project. I have experience working with KNN models and would love to apply it for your particular project. Please send me a message and I can get started. Thanks, Mitchell

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-Professional Machine Learning, ANN, KNN expert ! Best Result in Time!------------------------------ Hello sir. I've really rich experience for your project, so your project is very interesting to me. I'm really con Lagi

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HIGHLY interested with your project. I'm ready to start right now. My completion rate is always 100% and I STRICTLY BITE WHICH I CAN CHEW. Knock me please

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