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Panagiotis Karamolegkos, Argyro Mavrogiorgou, Athanasios Kiourtis and Dimosthenis Kyriazis
Big Data is a phenomenon that affects today?s world, with new data being generated every second. Today?s enterprises face major challenges from the increasingly diverse data, as well as from indexing, searching, and analyzing such enormous amounts of dat...
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Gëzim Hoxha, Arjanit Fandaj and Xhevahir Bajrami
This paper presents research on the collection, analysis, and evaluation of the fundamental data needed for road traffic systems. The basis for the research, analysis, planning and projections for traffic systems are traffic counts and data collection re...
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Sangil Park and Jun-Ho Huh
With the smartization and autonomous navigation of vessels through ICT (Information and Communications Technologies)?combining IoT, artificial intelligence (AI), and Big Data?changes in the shipbuilding industry will progress quickly; we must acquire sup...
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Yongjie Zhu, Yi Zuo and Tieshan Li
In the current shipping industry, quantitative measures of ship fuel consumption (SFC) have become one of the most important research topics in environmental protection and energy management related to shipping operations. In particular, the rapid develo...
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Ryan Feng, Yu Yao and Ella Atkins
Autonomous vehicles require fleet-wide data collection for continuous algorithm development and validation. The smart black box (SBB) intelligent event data recorder has been proposed as a system for prioritized high-bandwidth data capture. This paper ex...
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Apostolos Anagnostopoulos and Fotini Kehagia
Research into collecting and measuring reliable, accurate, and naturalistic microscopic traffic data is a fundamental aspect in road network planning scientific literature. The vehicle trajectory is one of the main variables in traffic flow theory that a...
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Mouhamadou Saliou Diallo, Sid Ahmed Mokeddem, Agnès Braud, Gabriel Frey and Nicolas Lachiche
Industry 4.0 is characterized by the availability of sensors to operate the so-called intelligent factory. Predictive maintenance, in particular, failure prediction, is an important issue to cut the costs associated with production breaks. We studied mor...
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Pelin Vardarlier, Gokhan Silahtaroglu
Pág. 1 - 14
Big Data has recently been used for many purposes like medicine, marketing and sports. It has helped improve management decisions. However, for almost each case a unique data warehouse should be built to benefit from the merits of data mining and Big Dat...
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Martin Margreiter, Foteini Orfanou, Philipp Mayer
Pág. 497 - 510
Many cities around the world have to deal with severe parking problems as the continuously increasing demand cannot be served by the existing supply. Research has showed that a high percentage of the overall traffic in cities derives from the parking pla...
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Syed Mustafa Ali, Rachel Powers, Jeffrey Beorse, Arif Noor, Farah Naureen, Naveed Anjum, Muhammad Ishaq, Javariya Aamir and Richard Anderson
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Syed Mustafa Ali, Rachel Powers, Jeffrey Beorse, Arif Noor, Farah Naureen, Naveed Anjum, Muhammad Ishaq, Javariya Aamir and Richard Anderson
The present grievous tuberculosis situation can be improved by efficient case management and timely follow-up evaluations. With the advent of digital technology, this can be achieved through quick summarization of the patient-centric data. The aim of our...
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Sung-Sam Hong, Jaekang Lee, Suwan Chung and Byungkon Kim
The quality of road pavements is highly impacted by environmental variables, such as temperature, humidity, and weather; and construction-related variables, such as material quality and time. In this paper, an advanced data collection and analysis system...
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Jifeng Zhu, Xiaohe Pan, Zheng Peng, Mengzhuo Liu, Jingqian Guo and Jun-Hong Cui
The establishment of the Underwater Internet of Things (UIoT) and the realization of interconnection between heterogeneous underwater intelligent devices are urgent global challenges. Underwater acoustic networking is the most suitable technology to achi...
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Wentao Shi, Yongqi Tang, Mingqi Jin and Lianyou Jing
The Underwater Internet of Things (IoUT) shows significant future potential in enabling a smart ocean. Underwater sensor network (UWSN) is a major form of IoUT, but it faces the problem of reliable data collection. To address these issues, this paper con...
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Woping Xu and Li Gu
Recently, unmanned aerial vehicle (UAV)-assisted maritime communication systems have drawn considerable attention due to their potential for broadband maritime communication applications. However, their limited energy resources remains a critical issue i...
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Yanhua Pei, Fen Hou, Guoying Zhang and Bin Lin
With the high flexibility and low cost of the deployment of UAVs, the application of UAV-assisted data collection has become widespread in the Internet of Things (IoT) systems. Meanwhile, the age of information (AoI) has been adopted as a key metric to e...
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José Alejandro Ruiz-Chután, Marie Kalousová, Anna Manourová, Hewan Demissie Degu, Julio Ernesto Berdúo-Sandoval, Carlos Enrique Villanueva-González and Bohdan Lojka
Guatemala?s wild avocado germplasm holds vital genetic value, but lacking conservation strategies imperils it. Studying its diversity is pivotal for conservation and breeding. The study aimed to comprehensively assess the wild avocado germplasm in Guatem...
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Alberto del Rio, Giuseppe Conti, Sandra Castano-Solis, Javier Serrano, David Jimenez and Jesus Fraile-Ardanuy
The digital transition that drives the new industrial revolution is largely driven by the application of intelligence and data. This boost leads to an increase in energy consumption, much of it associated with computing in data centers. This fact clashes...
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Yifei Jiang, Wanxia He, Wenzheng Liu, Shufan Wu, Xiao Wei and Qiankun Mo
In beyond 5G (B5G) non-terrestrial network (NTN) systems, satellite technologies play an important role. Especially for data collection systems (DCS), low-earth orbit satellites have many advantages. Such as global coverage, low latency, and high efficie...
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Jeong-Myeong Choi, Yoon-Kyoung Lee, Jong-Dae Kim, Chan-Young Park and Yu-Seop Kim
To assess a child?s language development, utterance data are required. The approach of recording and transcribing the conversation between the expert and the child is mostly utilized to obtain utterance data. Because data are obtained through one-on-one ...
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