Book ChapterDOI
User Localization in an Indoor Environment Using Fuzzy Hybrid of Particle Swarm Optimization & Gravitational Search Algorithm with Neural Networks
Jayant G. Rohra,Boominathan Perumal,Swathi Jamjala Narayanan,Priya Thakur,Rajen B. Bhatt +4 more
- pp 286-295
TLDR
An optimized model that could be deployed in monitoring and tracking devices used for locating users based on the Wi-Fi signal strength they receive in their personal devices is developed.Abstract:
Detecting users in an indoor environment based on Wi-Fi signal strength has a wide domain of applications. This can be used for objectives like locating users in smart home systems, locating criminals in bounded regions, obtaining the count of users on an access point etc. The paper develops an optimized model that could be deployed in monitoring and tracking devices used for locating users based on the Wi-Fi signal strength they receive in their personal devices. Here, we procure data of signal strengths from various routers, map them to the user’s location and consider this mapping as a classification problem. We train a neural network using the weights obtained by the proposed fuzzy hybrid of Particle Swarm Optimization & Gravitational Search Algorithm (FPSOGSA), an optimization strategy that results in better accuracy of the model.read more
Citations
More filters
Journal ArticleDOI
Indoor Intelligent Fingerprint-Based Localization: Principles, Approaches and Challenges
TL;DR: This work aims to study recent indoor localization technologies and systems based on various fingerprints, which use machine learning and intelligent algorithms, and presents the architecture of intelligent localization, which shows how to make localization become more “smart” by advanced techniques.
Journal ArticleDOI
Improved Symmetric and Nonnegative Matrix Factorization Models for Undirected, Sparse and Large-Scaled Networks: A Triple Factorization-Based Approach
TL;DR: Experiments show that the proposed TF-based SNLF model has a whelming ability of improving the estimation accuracy for the missing data as well as guaranteeing the symmetry of the target network and the nonnegativity of LFs at a little expense of the computation and storage burden.
Proceedings ArticleDOI
Home automation using IoT and a chatbot using natural language processing
TL;DR: A web application using which the fans, lights and other electrical appliances can be controlled over the Internet using a chatbot algorithm such that the user can text information to control the functioning of the electrical appliances at home.
Journal ArticleDOI
Multisource Selective Transfer Framework in Multiobjective Optimization Problems
TL;DR: A novel framework called multisource selective transfer optimization with three strategies to select sources reasonably is presented, which is beneficial to choose the most suitable sources, which could improve the search efficiency in solving multiobjective optimization problems.
Journal ArticleDOI
Unsupervised fuzzy model-based Gaussian clustering
TL;DR: Comparisons are made between the proposed UF-MB-Gauss clustering algorithm and these related clustering methods using numerical data and real data sets to demonstrate the superiority and usefulness of the proposed unsupervised fuzzy model-based Gaussian (UF-MB -Gauss) clustering algorithms.
References
More filters
Book
Fuzzy sets
TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Proceedings ArticleDOI
A new optimizer using particle swarm theory
TL;DR: The optimization of nonlinear functions using particle swarm methodology is described and implementations of two paradigms are discussed and compared, including a recently developed locally oriented paradigm.
Journal ArticleDOI
GSA: A Gravitational Search Algorithm
TL;DR: A new optimization algorithm based on the law of gravity and mass interactions is introduced and the obtained results confirm the high performance of the proposed method in solving various nonlinear functions.
Journal ArticleDOI
GPS-less low-cost outdoor localization for very small devices
TL;DR: This work reviews localization techniques and evaluates the effectiveness of a very simple connectivity metric method for localization in outdoor environments that makes use of the inherent RF communications capabilities of these devices.
Journal ArticleDOI
Neuro-fuzzy modeling and control
TL;DR: The essential part of neuro-fuzzy synergisms comes from a common framework called adaptive networks, which unifies both neural networks and fuzzy models, which possess certain advantages over neural networks.