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Eun-Seok Lee and Byeong-Seok Shin
The extended reality (XR) environment demands high-performance computing and data processing capabilities, while requiring continuous technological development to enable a real-time integration between the physical and virtual worlds for user interaction...
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Ryo Fukano and Masato Ishikawa
In science and engineering using edge-embedded software, it is necessary to demonstrate the validity of results; therefore, the software responsible for operating an edge system is required to guarantee its own validity. The aim of this study is to guara...
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Mais Haj Qasem,Alaa Abu-Srhan,Hutaf Natoureah,Esra Alzaghoul
Pág. pp. 109 - 125
Fog-computing is a new network architecture and computing paradigm that uses user or near-users devices (network edge) to carry out some processing tasks. Accordingly, it extends the cloud computing with more flexibility the one found in the ubiquitous n...
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Rachana Jannapureddy, Quoc-Tuan Vien, Purav Shah and Ramona Trestian
Processing big data on traditional computing infrastructure is a challenge as the volume of data is large and thus high computational complexity. Recently, Apache Hadoop has emerged as a distributed computing infrastructure to deal with big data. Adoptin...
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Obaid Rafiq Jan, Hudyjaya Siswoyo Jo, Riady Siswoyo Jo and Jonathan Kua
Natural disasters such as severe flooding can cause catastrophic losses to properties and human lives. Constant real-time water level monitoring prior to a flooding event can minimise damages and casualties. Many of the currently deployed water level mon...
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Javier Panadero, Majsa Ammouriova, Angel A. Juan, Alba Agustin, Maria Nogal and Carles Serrat
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Octavio Navarro-Hinojosa and Moisés Alencastre-Miranda
Modeling and simulation of the skeletal muscles are usually solved using the Finite Element method (FEM) which, although accurate, commonly needs a complex mesh and the solution is not processed in real-time. In this work, a meshfree model that simulates...
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Jia-Shing Sheu, Chen-Yin Han
Pág. 10 - 17
This study developed scene recognition and cloud computing technology for real-time environmental image-based regional planning using artificial intelligence. TensorFlow object detection functions were used for artificial intelligence technology. First, ...
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Jia-Shing Sheu, Chen-Yin Han
This study developed scene recognition and cloud computing technology for real-time environmental image-based regional planning using artificial intelligence. TensorFlow object detection functions were used for artificial intelligence technology. First, ...
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Amjad Mahmood, Salman A. Khan and Rashed A. Bahlool
In the Infrastructure-as-a-Service cloud computing model, virtualized computing resources in the form of virtual machines are provided over the Internet. A user can rent an arbitrary number of computing resources to meet their requirements, making cloud ...
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Amjad Mahmood, Salman A. Khan and Rashed A. Bahlool
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Kyoung-Don Kang, Liehuo Chen, Hyungdae Yi, Bin Wang and Mo Sha
In data-intensive real-time applications, e.g., cognitive assistance and mobile health (mHealth), the amount of sensor data is exploding. In these applications, it is desirable to extract value-added information, e.g., mental or physical health condition...
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Kyoung-Don Kang, Liehuo Chen, Hyungdae Yi, Bin Wang and Mo Sha
In data-intensive real-time applications, e.g., cognitive assistance and mobile health (mHealth), the amount of sensor data is exploding. In these applications, it is desirable to extract value-added information, e.g., mental or physical health condition...
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Moon-Il Joo, Dong-Yoon Kang, Min-Soo Kang and Hee-Cheol Kim
Edge computing can provide core functions such as data collection and analysis without connecting to a centralized server. The convergence of edge computing and IoT devices has enabled medical institutions to collect patient data in real time, improving ...
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Kejia Huang, Chenliang Wang, Runying Liu and Guoxiong Chen
High-performance spatial target snapping is an essential function in 3D scene modeling and mapping that is widely used in mobile augmented reality (MAR). Spatial data snapping in a MAR system must be quick and accurate, while real-time human?computer int...
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Ahmed Abdelmoamen Ahmed and Sheikh Ahmed
Automatic Number Plate Recognition (ANPR) has been widely used in different domains, such as car park management, traffic management, tolling, and intelligent transport systems. Despite this technology?s importance, the existing ANPR approaches suffer fr...
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Luca Bixio, Giorgio Delzanno, Stefano Rebora and Matteo Rulli
The Internet of Things (IoT) has created new and challenging opportunities for data analytics. The IoT represents an infinitive source of massive and heterogeneous data, whose real-time processing is an increasingly important issue. IoT applications usua...
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Mengyu Ma, Ye Wu, Wenze Luo, Luo Chen, Jun Li and Ning Jing
Buffer analysis, a fundamental function in a geographic information system (GIS), identifies areas by the surrounding geographic features within a given distance. Real-time buffer analysis for large-scale spatial data remains a challenging problem since ...
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Juyong Lee, Daeyoub Kim and Jihoon Lee
Recently, new mobile applications and services have appeared thanks to the rapid development of mobile devices and mobile network technology. Cloud computing has played an important role over the past decades, providing powerful computing capabilities an...
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Abhilash Sreeramaneni, Hyungjin Im, Won Min Kang, Chan Koh and Jong Hyuk Park
Mobile users spend a tremendous amount of time surfing multimedia contents over the Internet to pursue their interests. A resource-constrained smart device demands more intensive computing tasks and lessens the battery life. To address the resource limit...
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