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Smart-Object-Based Reasoning System for Indoor Acoustic Profiling of Elderly Inhabitants

Jeannette Chin, Alin Tisan, Victor Callaghan, David Chik
2021 Electronics  
This paper explores the potential for ambient intelligence to address this challenge by creating a system that is able to passively monitor the home environment, detecting abnormal situations which may  ...  The experimental system we built was composed of an innovative combination of acoustic sensing, artificial intelligence (AI), and the Internet-of-Things (IoT), which we argue in the paper that it provides  ...  Intelligence & Computing'.  ... 
doi:10.3390/electronics10121433 fatcat:w4645y2aybfr5guzryfy6v32sm

Development of Intelligent Wireless Sensor Networks for Human Comfort Index Measurement

Mohd Izani Mohamed Rawi, Adnan Al-Anbuky
2011 Procedia Computer Science  
This paper presents wireless sensor networks (WSN) based Human Comfort Ambient Intelligence (HCAmI) system.  ...  Conventional WHAN lacks higher "intelligence" in term of managing compound human comfort where as it deals with multitude of human comfort factors individually instead of collectively.  ...  Furthermore, WSN is examined as technology enabler of Ambient Intelligence (AmI) by means of embedding the intelligent within the WSN itself.  ... 
doi:10.1016/j.procs.2011.07.031 fatcat:4tflmqu5wbff5klwgup7gi5ym4

Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications

Mohammad Abu Alsheikh, Shaowei Lin, Dusit Niyato, Hwee-Pink Tan
2014 IEEE Communications Surveys and Tutorials  
In this paper, we present an extensive literature review over the period 2002-2013 of machine learning methods that were used to address common issues in wireless sensor networks (WSNs).  ...  We also provide a comparative guide to aid WSN designers in developing suitable machine learning solutions for their specific application challenges.  ...  The proposed framework, named "Ambient Intelligence Compliant Object" (AICO), facilities the human interaction with the home electric devices in a more intelligent manner (e.g., automatic power supply  ... 
doi:10.1109/comst.2014.2320099 fatcat:wdrvvsw325aq7pgb3hmojlyk2a

DropIn: Making Reservoir Computing Neural Networks Robust to Missing Inputs by Dropout [article]

Davide Bacciu and Francesco Crecchi and Davide Morelli
2017 arXiv   pre-print
, such as in pervasive wireless sensor networks and ambient intelligence.  ...  The paper presents a novel, principled approach to train recurrent neural networks from the Reservoir Computing family that are robust to missing part of the input features at prediction time.  ...  The choice of ESN as reference model is motivated, on the one hand, by its relevance and popularity in ambient intelligence, pervasive computing and IoT applications.  ... 
arXiv:1705.02643v1 fatcat:yffticcokncmxpcfreyxbxnwma

Giving Neurons to Sensors: An Approach to QoS Management Through Artificial Intelligence in Wireless Networks [chapter]

Julio Barbancho, Carlos León, Javier Molina, Antonio Barbancho
2006 Lecture Notes in Computer Science  
on the introduction of neural networks in every sensor node.  ...  Extensive simulations over our wireless sensor network simulator, OLIMPO, have been carried out to study the efficiency of the introduction of neural networks.  ...  Our approach to enhance this solution is based on the introduction of artificial intelligence techniques in the WSNs: expert systems, artificial neural networks, fuzzy logic and genetic algorithms.  ... 
doi:10.1007/11872153_30 fatcat:lv4cgtjsnvgelmpisx5dbyipve

IoT based intelligent irrigation support system for smart farming applications

Neha Kailash NAWANDAR, Vishal SATPUTE
2019 Advances in Distributed Computing and Artificial Intelligence Journal  
Results show that there is tolerable error in the reconstructed data and 62.5% and 67.5% compression is achieved for ambient temperature, humidity and soil moisture respectively.  ...  The decisions are only 2% erroneous when done using Neural Networks using this data.  ...  Neha Kailash Nawandar y Vishal Satpute IoT based intelligent irrigation support system for smart farming applications ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal  ... 
doi:10.14201/adcaij2019827585 fatcat:3kco2j7qwzh3ho7avr7653wuvm

Artificial Intelligence for Wireless Sensor Networks Enhancement [chapter]

Demetrio Ovalle, Diana Restrepo, Alcides
2010 Smart Wireless Sensor Networks  
Below is presented three different layers that let to perform intelligence through agents over a WSN.  ...  The types of artificial intelligence techniques widely used in industries are: Artificial Neural Network (ANN), Fuzzy Logic and Neuro-Fuzzy.  ... 
doi:10.5772/12962 fatcat:2pdptgdifrghtkll6a5tizpz3q

Localization Method for Low-power Wireless Sensor Networks

Diego Francisco Larios, Julio Barbancho, Francisco Javier Molina, Carlos León
2013 Journal of Networks  
Context awareness is an important issue in ambient intelligence to anticipate the desire of the user and, in consequence, to adapt the system.  ...  In context awareness, localization is very important to enable a responsive environment for the users.  ...  The use of WSN in ambient intelligence offers many advantages [16] .  ... 
doi:10.4304/jnw.8.1.45-58 fatcat:wwtajrlm7jcchonih6l7y66xvm

Hybrid Energy Management Technique: A Paradigm Shift to Energy Conservation in Wireless Sensor Networks

Onuekwusi Nnaemeka Chiemezie, Okpara Chinedu Reginald, Ewunonu Toochi. C, Department of Electrical and Electronic Engineering, Federal University of Technology, Owerri, Imo State, Nigeria.
2020 International Journal of Engineering Research and  
Findings reveal that although some schemes offer improvements over others, yet no scheme can claim to completely overcome the perennial challenge of energy constraint in WSN.  ...  The need to overcome it has made energy management in WSNs a research destination in recent times. In this paper, a review of notable energy management schemes employed in WSNs is undertaken.  ...  Some of the algorithms developed within the classical artificial neural networks, can be easily adopted to WSN platforms and meet requirements like: energy management, simple-parallel distributed computation  ... 
doi:10.17577/ijertv9is010271 fatcat:pe75gqv55fcb5c5oz7aje34zmy

A Study of Machine Learning in Wireless Sensor Network

Zaki Ahmad Khan, Abdus Samad
2017 International Journal of Computer Networks And Applications  
In this investigation to address the design issues in WSNs is introduced.  ...  Utilizing machine learning based algorithms in WSNs need to deem numerous constraints, for instance, minimal sources of the network application that really needs distinct events to be tracked as well as  ...  Modeled Intelligent Lighting Control The Radial Basis Function neural network was accustomed for removing a computational thing known as Illuminance Matrix for determine level of illuminance in the lighted  ... 
doi:10.22247/ijcna/2017/49122 fatcat:24ttgh7kqzao5bgd32ptxsnda4

Special issue on new advanced techniques in security of artificial intelligence

Mohammed Atiquzzaman, Jin Li, Witold Pedrycz
2022 Journal of Ambient Intelligence and Humanized Computing  
We are grateful to the editors for providing us with the opportunity to present this special issue under the aegis of the Journal of Ambient Intelligence and Humanized Computing. malicious adversaries  ...  deep neural networks.  ... 
doi:10.1007/s12652-021-03645-4 fatcat:mte2dyq22zfjpext5zhnoqbqka

Fire Data Analysis and Feature Reduction Using Computational Intelligence Methods [chapter]

Majid Bahrepour, Berend Jan van der Zwaag, Nirvana Meratnia, Paul Havinga
2010 Smart Innovation, Systems and Technologies  
Recently, wireless sensor networks (WSNs) have been used for environmental monitoring and real-time event detection because of their low implementation costs and their capability of distributed sensing  ...  In this paper, the authors investigate spatial analysis of data for indoor and outdoor fires using data-mining approaches for WSN-based fire detection purposes.  ...  Acknowledgements This paper describes work in part undertaken in the context of the SEN-SEI project, "Integrating the Physical with the Digital World of the Network of the Future" (www.senseiproject.eu  ... 
doi:10.1007/978-3-642-14616-9_28 fatcat:zxz52yg5pjhixa3epaw2oeulca

Robotic UBIquitous COgnitive Network [chapter]

Giuseppe Amato, Mathias Broxvall, Stefano Chessa, Mauro Dragone, Claudio Gennaro, Rafa López, Liam Maguire, T. Martin Mcginnity, Alessio Micheli, Arantxa Renteria, Gregory M. P. O'Hare, Federico Pecora
2012 Ambient Intelligence - Software and Applications  
Ambient Intelligence -Software and Applications : Advances in Intelligent and Soft Computing Volume 153 Conference details Abstract Robotic ecologies are networks of heterogeneous robotic devices pervasively  ...  embedded in everyday environments, where they cooperate to perform complex tasks.  ...  To these ends, we make use of Recurrent Neural Networks (RNN), and specifically of Reservoir Computing (RC) models [6] , due to their modular, networked structure, which can be naturally distributed and  ... 
doi:10.1007/978-3-642-28783-1_23 dblp:conf/isami/AmatoBCDGLMMMROP12 fatcat:5pp3zpl2hvfm7iz43cnflchbbu

AF-DHNN: Fuzzy Clustering and Inference-Based Node Fault Diagnosis Method for Fire Detection

Shan Jin, Wen Cui, Zhigang Jin, Ying Wang
2015 Sensors  
In this paper, a new diagnosis mechanism for WSN nodes is proposed, which is based on fuzzy theory and an Adaptive Fuzzy Discrete Hopfield Neural Network (AF-DHNN).  ...  Wireless Sensor Networks (WSNs) have been utilized for node fault diagnosis in the fire detection field since the 1990s.  ...  , distributed fault detection, neural network algorithms and so on.  ... 
doi:10.3390/s150717366 pmid:26193280 pmcid:PMC4541939 fatcat:utozz6fi6baqhdv65jzndc2w4u

From machine-to-machine communications towards cyber-physical systems

Jiafu Wan, Min Chen, Feng Xia, Li Di, Keliang Zhou
2013 Computer Science and Information Systems  
In this article, we first present the correlations among machine-to-machine (M2M), wireless sensor networks (WSNs), CPS and internet of things (IoT), and introduce some research activities in M2M, including  ...  Through these reviews, we propose CPS is an evolution of M2M by the introduction of more intelligent and interactive operations, under the architecture of IoT.  ...  However, the intelligent information processing, such as artificial neural networks and data-fusion, and distributed real-time control, are not the main emphasis in the terms of M2M design.  ... 
doi:10.2298/csis120326018w fatcat:ze4mfnzdkfgaziawvzearyirp4
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