Engineering Commons^™

Autonomous Indoor Localization Via Field Mapping Techniques, With Agricultural Big Data Application, Yan Cui, Kartik Ariyur, Benjamin D. Branch

Libraries Faculty and Staff Presentations

This joint collaboration between the library, the Mechanical Engineering department shows the current research of localizing an Android smartphone using big data collection and sensor fusion techniques. The original work is Autonomous Indoor Localization via Field Mapping Techniques which primarily designed as indoor fire and safety aid.

For Agricultural Big Data Use, the Android smartphone is being applied to in indoor greenhouse fire, safety and data knowledge design. Such may aid big data tool value to greenhouse fire and safety design and any data that may be important fieldwork considerations.

The indoor agricultural mapping application may be application to greenhouses …

The International Charter And Flood Mapping, Jie Shan

GIS Day

An overview of recent Purdue activities related to the International Charter for Space and Major Disasters, including general information about The Charter, 3 Indiana flood examples, and a summary of the lessons learned therefrom.

Support Vector Selection And Adaptation For Classification Of Remote Sensing Images, Gulsen Taskin Kaya, Okan Ersoy

Department of Electrical and Computer Engineering Technical Reports

Classification of nonlinearly separable data by nonlinear support vector machines is often a difficult task especially due to the necessity of a choosing a convenient kernel type. In this study, we propose a new classification method called support vector selection and adaptation (SVSA) that is applicable to both linearly and nonlinearly separable data in terms of some reference vectors generated by processing of support vectors obtained from the linear SVM. The method consists of two steps called selection and adaptation. In these two steps, once the support vectors are obtained by a linear SVM, some of them are rejected and …