Smart City 360°

Leon-Garcia, Alberto; Lenort, Radim; Holman, David; Staš, David; Krutilova, Veronika; Wicher, Pavel; Caganova, Dagmar; Špirková, Daniela; Golej, Julius; Nguyen, Kim Khoa

doi:10.1007/978-3-319-33681-7

Cited by 17 publications

(1 citation statement)

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“…We indicate here research on developed architecture for Big Data processing in ITS, [13] proposed a cluster-based platform called "sipresk" to collect process and storage data for historical analysis.. Their platform is based on the Godzilla conceptual framework; the platform is a cluster-based and leverages the cloud to achieve reliability, scalability and adaptability to the changing operating conditions. It can be leveraged for both online and retrospective analysis; it is also validated in a case study where it is used to estimate the average speed and the congested sections of a highway.…”

Section: The Proposed Platform 31 Related Workmentioning

confidence: 99%

Big Data Processing Platform on Intelligent Transportation Systems

Mendili¹

2019

IJATCSE

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Nowadays, with the incredible demographic explosion that we have witnessed in the last few decades, management of transport is of paramount importance. The reason for this is that we have to face the management of problems relating to traffic detection, traffic jams created by urban public transport, data on motorway tolls, meteorological data and traffic safety, etc. These types of traffic data are numerous and enormous. Traditional tools are now unable to solve these problems. With the rapid development of Big Data technologies, the new way of thinking about intelligent transport has become an obligation; as a result, new architectures are mainly needed to work with big data. . In order to overcome this problem, it is essential to create a Big Data modeling approach for ITS, which pays particular attention to the creation of multiple layers. Among these we find Management and Processing layer which in its turn contains three levels: processing, analyzing and storing. In this paper, we are interested in the processing level, which attracts the attention of researchers. In fact, we will propose a Big Data processing design applied to Intelligent Transportation Systems. We will adopt a data modeling approach that treats both the transmission and the processing data.

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Section: The Proposed Platform 31 Related Workmentioning

confidence: 99%

Big Data Processing Platform on Intelligent Transportation Systems

Mendili¹

2019

IJATCSE

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Transportation System Using Deep Learning Algorithms in Industry 4.0 Towards Society 5.0

Sagar,

Pradhan,

Poongodi

2024

Disruptive Technologies and Digital Transformations for Society 5.0

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AI and robotics in the European restaurant sector: Assessing potentials for process innovation in a high-contact service industry

Blöcher

Alt

2020

Electron Markets

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The restaurant technology market is rapidly evolving and is transforming the restaurant business as a significant sector of tourism and hospitality. Enabled by artificial intelligence (AI), mobile apps, kiosks and chatbots revolutionize the guest experience and robots automate restaurant operations. Despite the increasing interest, the use of AI and robotics in restaurants is still in its early stage and restaurant managers are seeking guidance to leverage these technologies for service excellence. In this high-contact service sector, emotional skills need to be balanced with the possible automation potentials. The present research analyzes the current state of AI and robotics in the restaurant sector and proposes a systematic identification of process innovation potentials. For this purpose, a market analysis of the European AI and robotics market for restaurant operations is conducted, which yields a first knowledge base for future research and conceptual work. Besides detailed empirical data, a reference process is developed for leveraging new technologies for process innovation.

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Smart City 360°

Cited by 17 publications

References 0 publications

Big Data Processing Platform on Intelligent Transportation Systems

Big Data Processing Platform on Intelligent Transportation Systems

Transportation System Using Deep Learning Algorithms in Industry 4.0 Towards Society 5.0

AI and robotics in the European restaurant sector: Assessing potentials for process innovation in a high-contact service industry

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