Augmented Intelligence

Rodrigues, João M. F.; Cardoso, Pedro J. S.; Monteiro, Jânio; Ramos, Célia M. Q.

doi:10.4018/978-1-7998-2112-0.ch001

Cited by 6 publications

(2 citation statements)

References 39 publications

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“…As future research directions, we suggest the three main issues that need to be further addressed as follows. First, it is important to explore the impact of ICT, mobile communication, cloud computing, artificial intelligence, and virtual reality on developing smart tourism [75]. Secondly, it is of great interest to investigate the interaction between smart tourism and sustainability.…”

Section: Discussionmentioning

confidence: 99%

A Methodological Framework for Developing a Smart-Tourism Destination in the Southeastern Adriatic–Ionian Area

2023

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This paper presents a methodological framework aiming to support the creation of a smart-tourism destination. Specifically, the study is realised in the frame of NEST, a European Union Interreg project aiming to create a smart-tourism destination in the Adriatic–Ionian area. Therefore, the study focuses on the southeastern Adriatic–Ionian area, as a portion of the European macro-region including the Italian regions of Molise and Apulia and the Balkan countries of Albania and Montenegro. This area presents a clear vocation for tourism, with a distinctive cultural heritage, attractive natural landscapes, and old culinary traditions offering a variety of eno-gastronomic and folk craft products. In the frame of the EU neighbour policies and in coherence with the objectives of the EU smart specialization strategy, several initiatives have been promoted for innovating the tourism offering in this area. Despite this, the full achievement of the creation of an Adriatic–Ionian smart destination calls for the adoption of a multidimensional strategy able to leverage knowledge-intensive dynamics of collaboration. This paper, therefore, aims to highlight the opportunities of adoptions and implications of this methodological framework for the cross-border marketing and management of the Adriatic–Ionian smart destination.

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Section: Discussionmentioning

confidence: 99%

A Methodological Framework for Developing a Smart-Tourism Destination in the Southeastern Adriatic–Ionian Area

2023

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“…The low-cost and power consumption of SBCs, their adaptability, as well as their stability in availability by key market manufacturers such as Texas Instruments, Inc., Advantech Co., Digi International, Inc., NXP Semiconductors, and Raspberry Pi Foundation, have enabled such products to be deployed into several cases where processing requirements are met by small and smart embedded devices [8,9]. The continuous increase in applications of SBCs has also led to the development of more powerful peripherals being included on such boards.…”

Section: Introductionmentioning

confidence: 99%

Timing and Performance Metrics for TWR-K70F120M Device

Adam

2023

Computers

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Currently, single-board computers (SBCs) are sufficiently powerful to run real-time operating systems (RTOSs) and applications. The purpose of this research was to investigate the timing performance of an NXP TWR-K70F120M device with μClinux OS on concurrently running tasks with real-time features and constraints, and provide new and distinct technical data not yet available in the literature. Towards this goal, a custom-built multithreaded application with specific compute-intensive sorting and matrix operations was developed and applied to obtain measurements in specific timing metrics, including task execution time, thread waiting time, and response time. In this way, this research extends the literature by documenting performance results on specific timing metrics. The performance of this device was additionally benchmarked and validated against commonly used platforms, a Raspberry Pi4 and BeagleBone AI SBCs. The experimental results showed that this device stands well both in terms of timing and efficiency metrics. Execution times were lower than with the other platforms, by approximately 56% in the case of two threads, and by 29% in the case of 32-thread configurations. The outcomes could be of practical value to companies which intend to use such low-cost embedded devices in the development of reliable real-time industrial applications.

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