Interconnected Sensor Networks Research Articles

Artificial Internet of Things, Sensor-Based Digital Twin Urban Computing Vision Algorithms, and Blockchain Cloud Networks in Sustainable Smart City Administration

The aim of this paper is to synthesize and analyze existing evidence on interconnected sensor networks and digital urban governance in data-driven smart sustainable cities. The research topic of this systematic review is whether and to what extent smart city governance can effectively integrate the Internet of Things (IoT), Artificial Intelligence of Things (AIoT), intelligent decision algorithms based on big data technologies, and cloud computing. This is relevant since smart cities place special emphasis on the involvement of citizens in decision-making processes and sustainable urban development. To investigate the work to date, search outcome management and systematic review screening procedures were handled by PRISMA and Shiny app flow design. A quantitative literature review was carried out in June 2024 for published original and review research between 2018 and 2024. For qualitative and quantitative data management and analysis in the research review process, data extraction tools, study screening, reference management software, evidence map visualization, machine learning classifiers, and reference management software were harnessed. Dimensions and VOSviewer were deployed to explore and visualize the bibliometric data.

Interconnected Sensor Networks and Digital Urban Governance in Data-driven Smart Sustainable Cities

Interconnected Sensor Networks and Digital Urban Governance in Data-driven Smart Sustainable Cities

Autonomous Vehicle Algorithms, Big Geospatial Data Analytics, and Interconnected Sensor Networks in Urban Transportation Systems

Autonomous Vehicle Algorithms, Big Geospatial Data Analytics, and Interconnected Sensor Networks in Urban Transportation Systems

Interconnected Sensor Networks and Machine Learning-based Analytics in Data-driven Smart Sustainable Cities

Employing recent research results covering interconnected sensor networks and machine learning-based analytics in data-driven smart sustainable cities, and building my argument by drawing on data collected from BDO, Capgemini, ICMA, KPMG, McKinsey, Philips, SCC, SmartCitiesWorld, and World Economic Forum, I performed analyses and made estimates regarding the progress of smart cities toward sustainability. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

Autonomous Vehicle Decision-Making Algorithms, Interconnected Sensor Networks, and Big Geospatial Data Analytics in Smart Urban Mobility Systems

Autonomous Vehicle Decision-Making Algorithms, Interconnected Sensor Networks, and Big Geospatial Data Analytics in Smart Urban Mobility Systems

Big Data-driven Urban Geopolitics, Interconnected Sensor Networks, and Spatial Cognition Algorithms in Smart City Software Systems

Big Data-driven Urban Geopolitics, Interconnected Sensor Networks, and Spatial Cognition Algorithms in Smart City Software Systems

Interconnected Sensor Networks and Decision-Making Self-Driving Car Control Algorithms in Smart Sustainable Urbanism

Interconnected Sensor Networks and Decision-Making Self-Driving Car Control Algorithms in Smart Sustainable Urbanism

Urban Internet of Things Systems and Interconnected Sensor Networks in Sustainable Smart City Governance

Urban Internet of Things Systems and Interconnected Sensor Networks in Sustainable Smart City Governance

Kinect Sensor Gesture and Activity Recognition: New Applications for Consumer Cognitive Systems

Cognitive consumer electronics (CE), the fastest-growing sector worldwide that is driven by machine intelligence and cognitive systems, is triggered and enabled by audio- and video-capturing devices, smart sensors, health- and fitness-monitoring devices, security and education electronics, and intelligent systems. Smart consumer sensors and cognitive systems are synergized through the Internet of Things (IoT) for optimal information sharing, communication, real-time updates, data analytics, and enhanced support for decision making. Biometric-based devices, originally intended for large-scale applications in airports, border controls, disaster zones, or refugee migration zones, are enabling a wide range of applications in commercial and consumer sectors as standalone systems or with interconnected sensor networks. This article introduces the applications of Microsoft Kinect in cognitive systems for smart CE, and, using Kinect sensors, a human-behavior cognition technology is presented for gesture and activity recognition. As a novel front end of pervasive cognitive systems, the challenges and applications of a Kinect sensor-based system will be explored in CE, such as smart automobiles, health care, surveillance, and activity recognition.