Transportation research. part c, emerging technologies

Keynote David Rose The New Vanguard for Business: Connectivity, Design, and the Internet of Things The Internet of Things is the hottest topic of the moment a shift predicted to be as momentous as the impact of the internet itself. The internet has allowed us to share ideas and data largely input by humans. What about a world where data from objects as diverse as umbrellas, fridges, and gas tanks all flows through the internet?

The Internet of things.

Future generation communication systems, such as 5G and 6G wireless systems, exploit the combined satellite-terrestrial communication infrastructures to extend network coverage and data throughput for data-driven applications. These ground-breaking techniques have promoted the rapid development of Internet of Things (IoT) in maritime industries. In maritime IoT applications, intelligent vessel traffic services can be guaranteed by collecting and analyzing high volume of spatial data flows from automatic identification system (AIS). This AIS system includes a highly integrated automatic equipment, including functionalities of core communication, tracking, and sensing. The increased utilization of shipboard AIS devices allows the collection of massive trajectory data. However, the received raw AIS data often suffers from undesirable outliers (i.e., poorly tracked timestamped points for vessel trajectories ) during signal acquisition and analog-to-digital conversion. The degraded AIS data will bring negative effects on vessel traffic services (e.g., maritime traffic monitoring, intelligent maritime navigation, vessel collision avoidance, etc.) in maritime IoT scenarios. To improve the quality of vessel trajectory records from AIS networks, we propose to develop a two-phase data-driven machine learning framework for vessel trajectory reconstruction. In particular, a density-based clustering method is introduced in the first phase to automatically recognize the undesirable outliers. The second phase proposes a bidirectional long short-term memory (BLSTM)-based supervised learning technique to restore the timestamped points degraded by random outliers in vessel trajectories. Comprehensive experiments on simulated and realistic data sets have verified the dominance of our two-phase vessel reconstruction framework compared to other competing methods. It thus has the capacity of promoting intelligent vessel traffic services in 6G-enabled maritime IoT systems.

Data-Driven Trajectory Quality Improvement for Promoting Intelligent Vessel Traffic Services in 6G-Enabled Maritime IoT Systems

Computer processing of remotely sensed images

The coronavirus disease (COVID-19) pandemic has affected the world in an unexpected manner The human race is battling against the pandemic while schools, universities, industries, hospitals, and governments are seeking new methods and technologies to seamlessly continue their usual operations In response, this article presents how 5G and Internet of Things (IoT) related technologies can be efficiently utilized and developed to fight against the COVID-19 pandemic Several use-cases on how 5G and IoT can be enablers to provide innovative solutions in the areas of telehealth, contact tracing, education, retail and supply chains, e-government/ remote office/ information sharing, smart manufacturing and factory automation, e-tourism, and entertainment are presented along with their technical requirements and challenges It is envisaged that the proposed solutions will be instrumental to facilitate the usual lifestyle, work, and other day-to-day activities of humans in the postpandemic world

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The Fight Against the COVID-19 Pandemic With 5G Technologies

Virtual Reality and Augmented Reality, these days, is offering many useful applications that is attracting greater attention from tourism researchers and professionals. As, AR and VR technologies are evolving, the number of scientific applications is also at increase. VR and AR are proving their worth especially when planning, marketing, education, tourist sport preservation coming to light. The aim of this research paper is to highlight top technologies for Tourism and Hospitality with regard to AR and VR.

Virtual Reality (VR) & Augmented Reality (AR) technologies for tourism and hospitality industry

With the rapid advancements in technologies like smart grid, network communication, information infrastructures, bidirectional communication medium’s, energy conservation methodologies and diverse techniques, Home area networks (HANs) have undergone a revolutionary change pertaining to various areas of power consumption domains like electricity usage patterns, energy conservation at consumption premises, etc. Under a robust smart grid paradigm, modern home equipped with HEMS contributes significantly towards efficiency improvement, economizing energy usage, reliability, as well as conserving energy for distributed systems. The objective of the paper is to present a comprehensive review covering the various technical and conceptual aspects of efficient power management at home front. A systematic review proposed by several researchers till date in this area is considered. The study focuses on the concepts, technical background, architecture and infrastructure along with various schemes as well as goals including various issues and challenges faced with HEMS systems. The research paper proposes a novel methodology for improvising the home design architecture by incorporating the concept of green building in order to reduce the energy consumption done by a resident at their home front. The concept of HEM systems or SHEMS is not just about proposing new models to save energy, power management, or making energy efficient appliances to be used at home front but also about creating awareness among the consumers and motivating them to participate in the activities related to power conservation in active manner. The study have shown the, impact of various schemes over the peak load reduction with Optimization based residential energy management (OREM) technique showing the reduction in power consumption showing a cut down of about 35% in the overall electricity bill.

Home energy management system (HEMS): concept, architecture, infrastructure, challenges and energy management schemes

Smart cities are composed of interlinked components with constant data transfer and services targeted at increasing the life style of the people. The chapter focuses on diverged smart city components as well as the security models designed to be implemented. The four major paradigms discussed in this chapter are smart grids, building automation system (BAS), unmanned aerial vehicle (UAV), and smart vehicles. Apart from addressing the security concerns of every component, the major highlights of this chapter are architecture, smart environment, industry, lifestyle, services, and digital lifestyle quality. Finally, the chapter focuses on privacy preserving mechanisms, its essence over smart cities, strong architecture related to privacy, preserving mechanism, and various approaches available that can retaliate these issues in a smart city environment.

Cyber Security Challenges for Smart Cities

The use of unmanned aerial vehicle (UAV) as a dynamic node in point to point communication of 5G and beyond 5G cellular networks is an emerging technology. It provides a reliable and efficient mode of wireless communication network in the sky. Existing architectures include single tier and multi-tier drone architecture. Major challenges in multi-tier architecture is in establishing an air traffic control system and in efficient resource sharing between the drones. To overcome the challenges associated with the multitier drone and cellular drone networks, a bidirectional multitier cognitive swarm drone network (BMCSDN) is proposed and investigated in terms of spectrum efficiency and allocation of optimized altitude and power for down link transmission. The proposed method uses the cognitive swarm drone (CSD) concept and provides enhancement of capacity and coverage with optimized transmission efficiency. The work also analyses the effect of interference when all CSDs transmit and receive with static and dynamic frequency allocations.

Bidirectional Multi-tier Cognitive Swarm Drone 5G Network

Buildings across the world consume a significant amount of energy which is equivalent to one third of total primary energy resources available. This has led to lots of challenges with regard to supplies of energy, energy resources quick depletion, increase in building service demands, improvised comfort lifestyle along with time increase spend in builds; this all has increased the energy consumption. Even the global sustainability is also pushing the implementation of green buildings in the real world. Researchers and scientists have been working on this issue for a very long time, but still the issue is prevalent. The aim of this chapter is to present comprehensive and significant research conducted to date with regard to green buildings. The chapter provides in-depth analysis of design technologies (i.e., passive and active technologies) that lay a strong foundation for green building. The chapter also highlights the smart automation technologies which help in energy conservation along with various performance metrics.

Bandana Mahapatra

Papers

Virtual Reality (VR) & Augmented Reality (AR) technologies for tourism and hospitality industry

Home energy management system (HEMS): concept, architecture, infrastructure, challenges and energy management schemes

Cyber Security Challenges for Smart Cities

Bidirectional Multi-tier Cognitive Swarm Drone 5G Network

Green and Smart Buildings: A Key to Sustainable Global Solutions