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João Pedro Vitorino, José Simão, Nuno Datia and Matilde Pato
This paper presents IRONEDGE, an architectural framework that can be used in different edge Stream Processing solutions for ?Smart Infrastructure? scenarios, on a case-by-case basis. The architectural framework identifies the common components that any s...
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Theofanis P. Raptis, Claudio Cicconetti, Manolis Falelakis, Grigorios Kalogiannis, Tassos Kanellos and Tomás Pariente Lobo
In terms of the calibre and variety of services offered to end users, smart city management is undergoing a dramatic transformation. The parties involved in delivering pervasive applications can now solve key issues in the big data value chain, including...
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Kang-Ren Leow, Meng-Chew Leow and Lee-Yeng Ong
The Online Roadshow, a new type of web application, is a digital marketing approach that aims to maximize contactless business engagement. It leverages web computing to conduct interactive game sessions via the internet. As a result, massive amounts of p...
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Dohoon Lee, David Camacho and Jason J. Jung
Many vehicles are connected to the Internet, and big data are continually created. Various studies have been conducted involving the development of artificial intelligence, machine learning technology, and big data frameworks. The analysis of smart mobil...
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D.E. Savitsky,M.E. Dunaev,K.S. Zaytsev
Pág. 70 - 76
The purpose of this work is to study methods for detecting anomalies in the processing of data streams in distributed streams in real time. To do this, the authors carried out a modification of the K-Means algorithm, called K-Means in real time, and carr...
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Ferry Astika Saputra, Muhammad Salman, Jauari Akhmad Nur Hasim, Isbat Uzzin Nadhori and Kalamullah Ramli
Snort is a well-known, signature-based network intrusion detection system (NIDS). The Snort sensor must be placed within the same physical network, and the defense centers in the typical NIDS architecture offer limited network coverage, especially for re...
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R.A. Elchenkov,M.E. Dunaev,K.S. Zaytsev
Pág. 62 - 69
The purpose of this work is to study methods for predicting the values of time series when processing streaming data in distributed systems in real time. To do this, the authors propose a modification of the autoregressive model with a given AR order by ...
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Kuk Cho and Dooyong Cho
This paper describes a method that precisely estimates the position of images of traffic surveillance camera objects. We suggest a projection method with multiple traffic surveillance cameras through a local coordinate system into a global coordinate sys...
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Denis Zolotariov
Pág. 53 - 58
The article is devoted to the research and development of the mechanism of interaction between Wolfram Mathematica programs and Apache Kafka queue to provide the ability to build event-driven applications based on it. The subject of the research is the p...
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Aelee Yoo, Sooyeon Shin, Junwon Lee and Changjoo Moon
To provide a service that guarantees driver comfort and safety, a platform utilizing connected car big data is required. This study first aims to design and develop such a platform to improve the function of providing vehicle and road condition informati...
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