Journal ArticleDOI
Exploiting IoT and big data analytics: Defining Smart Digital City using real-time urban data
TLDR
This paper has established an IoT-based Smart City by using Big Data analytics while harvesting real-time data from the city by using existing smart systems and IoT devices as city data sources to develop the Smart Digital City.About:
This article is published in Sustainable Cities and Society.The article was published on 2018-07-01. It has received 260 citations till now. The article focuses on the topics: Smart city & Smart system.read more
Citations
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Journal ArticleDOI
Modeling and forecasting building energy consumption: A review of data-driven techniques
TL;DR: A review of studies developing data-driven models for building scale applications with a focus on the input data characteristics and data pre-processing methods, the building typologies considered, the targeted energy end-uses and forecasting horizons, and accuracy assessment.
Journal ArticleDOI
A survey on internet of things security: Requirements, challenges, and solutions
TL;DR: A taxonomy that taps into the three-layer IoT architecture as a reference to identify security properties and requirements for each layer is built upon, classifying the potential IoT security threat and challenges by an architectural view.
Journal ArticleDOI
Blockchain for smart cities: A review of architectures, integration trends and future research directions
Bharat Bhushan,Aditya Khamparia,K. Martin Sagayam,Sudhir Kumar Sharma,Mohd Abdul Ahad,Narayan C. Debnath +5 more
TL;DR: This paper presents the state-of-the-art blockchain technology to solve the security issues of smart cities and surveys the utility of blockchain in various smart communities such as healthcare, transportation, smart grid, supply chain management, financial systems and data center networks.
Journal ArticleDOI
On the sustainability of smart and smarter cities in the era of big data: an interdisciplinary and transdisciplinary literature review
TL;DR: This study shows that smart and smarter cities are associated with misunderstanding and deficiencies as regards their incorporation of, and contribution to, sustainability, and tremendous opportunities are available for utilising big data analytics and its application in smart cities of the future.
Journal ArticleDOI
IoT-Based Intelligent Modeling of Smart Home Environment for Fire Prevention and Safety
TL;DR: A wireless sensor network using multiple sensors for early detection of house fires that is able to detect early fire, even when a sensor is not working, while keeping the energy consumption of the sensors at an acceptable level is designed.
References
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Journal ArticleDOI
Critical questions for big data
danah boyd,Kate Crawford +1 more
TL;DR: The era of Big Data has begun as discussed by the authors, where diverse groups argue about the potential benefits and costs of analyzing genetic sequences, social media interactions, health records, phone logs, government records, and other digital traces left by people.
Journal ArticleDOI
Context Aware Computing for The Internet of Things: A Survey
TL;DR: This paper surveys context awareness from an IoT perspective and addresses a broad range of techniques, methods, models, functionalities, systems, applications, and middleware solutions related to context awareness and IoT.
Journal ArticleDOI
An Information Framework for Creating a Smart City Through Internet of Things
TL;DR: A framework for the realization of smart cities through the Internet of Things (IoT), which encompasses the complete urban information system, from the sensory level and networking support structure through to data management and Cloud-based integration of respective systems and services, and forms a transformational part of the existing cyber-physical system.
Book
Big Data: Principles and best practices of scalable realtime data systems
Nathan Marz,James Warren +1 more
TL;DR: Big Data describes a scalable, easy to understand approach to big data systems that can be built and run by a small team that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data.
Journal ArticleDOI
Dimensionality reduction of hyperspectral data using discrete wavelet transform feature extraction
TL;DR: The dyadic discrete wavelet transform approach is shown to significantly increase the overall classification accuracy and is tested using hyperspectral data for various agricultural applications.