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Proposed Framework for Improving Localization Using Bluetooth Low Energy Beacons
Published in Monika Mangla, Ashok Kumar, Vaishali Mehta, Megha Bhushan, Sachi Nandan Mohanty, Real-Life Applications of the Internet of Things, 2022
Rakhi Akhare, Monika Mangla, Narendra Shekokar, Smita Sanjay Ambarkar
In this section, we discuss some use cases of BLE in terms of localization. According to authors in Ref. [27], BLE can be employed for the realization of smart cities, automotive industry, agriculture, airport, and museum, etc. Authors suggest that BLE can be used to control the brightness of the lights at road junctions in response to the approaching vehicles. According to Ref. [27], California has adopted LED streetlights which operates in response to real time data. Similarly, it aids managers and ground staff of smart sports venues to take decisions regarding up keeping of the pitch or ground. BLEs can also be integrated in agriculture to gain other useful information like temperature and chlorophyll levels in plants. Thus, it brings a sustainable and efficient revolutionary transformation in food production. Usage of BLE is also recommended to improve passengers’ experience at airport by helping them to find their baggage, restaurants, and other services. Moreover, it can also improve operational efficiency at airport using predictive analytics.
Thin Film Growth, Structure, and Properties
Published in Fredrick Madaraka Mwema, Esther Titilayo Akinlabi, Oluseyi Philip Oladijo, Sputtered Thin Films, 2021
Fredrick Madaraka Mwema, Esther Titilayo Akinlabi, Oluseyi Philip Oladijo
The market for sensors is predicted to rise between 2019 and 2022 due to (i) the increasing demand for wearable devices, (ii) growing use of IoT, (iii) increasing demand for smartphones, (iv) adoption of industry 4.0, (v) advancements in the sensor technologies, and (vi) the expansion of the automotive industry [19–21]. The increasing adoption of smart systems in modern cars and vehicles coupled with the growing production of vehicles throughout the world implies that there will be more demand for sensors in the automotive industry. The rising need for vehicles with better performance and very high levels of safety means comprehensive monitoring and control of the vehicle systems. The cars of the future will be autonomous, connected, electric, and shared (ACES) and such cars are said to be ‘smart’. It is predicted that beyond 2020, 90% of the cars will be connected and shared [22]. Figure 1.4 shows the key features of the car of the future (smart). As shown, there are various devices needed to achieve the features of the smart car and all the devices are related to each other in different ways. To achieve a synchronized performance from various devices, several sensors are required, which means that smart cars will considerably contribute to the expansion of the sensor market.
Lightweight Security Protocols for Blockchain Technology
Published in Gautam Kumar, Dinesh Kumar Saini, Nguyen Ha Huy Cuong, Cyber Defense Mechanisms, 2020
Jangirala Srinivas, Ashok Kumar Das
Sharma et al. [42] proposed another “blockchain-based distributed framework for automotive industry in a smart city.” In these days due to the advancements in the technologies and digitalization and also adaptation of such technologies in the field of automotive industry, it helps in transforming the current business models and the manufacturer’s operating mode. For example, the raise in the production and usage of autonomous cars has boosted the expectations of users, but at the cost of disruption of government regulations, maintenance services, insurance policies, and product manufacturing. Keeping the users into consideration, these were continuously updated to provide on-demand services, personalized, integrated, and connected features to build the smart city for a sustainable ecosystem. In their work, they proposed a framework that considers blockchain-based distributed network architecture that includes a minor node selection algorithm. The simulation of the proposed model was executed on the private Ethereum blockchain platform (litecoinpool.org) using captured dataset of mined blocks.
Readiness and Maturity of Smart and Sustainable Supply Chains: A Model Proposal
Published in Engineering Management Journal, 2023
Sercan Demir, Mehmet Akif Gunduz, Yasanur Kayikci, Turan Paksoy
In today’s highly competitive markets, companies must integrate both smart and sustainable practices in their processes to maintain their competitive edges (Garcia-Muiña et al, 2018; Ghobakhloo, & Fathi, 2019). To the best of our knowledge, our study is the first to propose a maturity model that assesses both the smartness and sustainability dimensions of supply chains. We propose a model that can measure supply chain readiness and maturity by simultaneously taking smart and sustainable dimensions into account and validating the model by conducting a case study in the automotive industry. This study is organized as follows: Section 2 reviews the existing Industry 4.0, sustainability, and readiness and maturity models literature. Section 3 presents the methodological framework of the proposed model. Section 4 discusses the results and implications for engineering managers. Finally, Section 5 summarizes the conclusions.
Road crack avoidance: a convolutional neural network-based smart transportation system for intelligent vehicles
Published in Journal of Intelligent Transportation Systems, 2023
Majumder Haider, Mahmudul Kabir Peyal, Tao Huang, Wei Xiang
The rapid progress of wireless communication technologies and the availability of high speed internet connection almost everywhere transform the perceptions of Internet of Things (IoT) in a reality in plenty of areas nowadays. The implementation and convergence of IoT in vehicular ad hoc networks (VANETs) has coined a new type of network called Internet of Vehicles (IoV) (Kaiwartya et al., 2016; Qureshi et al., 2021; Mahmood, 2020). The concept of IoV connects smart vehicles to a heterogeneous global network to provide a wide gamut of advanced driver assistance services and commercial applications for passengers while driving on the road (Kaiwartya et al., 2016; Iqbal et al., 2020). Moreover, Vehicle to everything (V2X) communication is considered as one of the auspicious technologies in the era of 5G and beyond wireless communications (Gonzalez-Martín et al., 2019; Husain et al., 2019; Xiang et al., 2019; Zhou et al., 2020; Huang et al., 2020). To make this amenity available in a real environment, developing smart vehicles and even unmanned vehicles are getting notable attention to the automotive industry to meet up the rising demands of the customers prioritizing mostly the passengers comfort and safety.
Evaluating Industry 4.0 technology and sustainable development goals – a social perspective
Published in International Journal of Production Research, 2023
Chunguang Bai, Hua Zhou, Joseph Sarkis
In our case, it is difficult for decision makers to assess the impact of each I4.0T on the SDGs. Each I4.0T may appear in different I4.0 applications across various industries. For example, Big Data and Analytics can be used for most applications in the automotive industry such as ‘Short Loop Recycling for Manufacturing’, ‘Bio-based Plastics and Composites’, ‘Smart Digital Twins’, ‘Augmented Workforce’ and ‘Robotic Disassembly for Remanufacturing’. The impact of these five I4.0 applications on SDGs can reflect the possible impact of Big Data and Analytics on SDGs to a certain extent. Then, these five I4.0 disruptive applications can be used to assess the impact of Big Data and Analytics on various SDGs. Figures 3, 5, 7 and 9 in the WEF report describe the impact of various I4.0 applications on the SDGs. In this uncertain and multiple situations environment, we use HFE to express the impact of I4.0T on each SDG, which represents the I4.0T performance across all I4.0 applications for this SDG.