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Gaetanino Paolone, Romolo Paesani, Martina Marinelli and Paolino Di Felice
Many scholars have reported that the adoption of Model Driven Engineering (MDE) in the industry is still marginal. Real-life case studies, completed with convincing empirical data about the quality of the developed source code, is an effective way to per...
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Knut Jetlund, Erling Onstein and Lizhen Huang
This study aims to improve interoperability between Geographic Information Systems (GIS) and geospatial databases for Intelligent Transport Systems (ITS). Road authorities maintain authoritative information for legal and safe navigation in GIS databases....
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Knut Jetlund, Erling Onstein and Lizhen Huang
This study aims to improve the implementation of models of geospatial information in Web Ontology Language (OWL). Large amounts of geospatial information are maintained in Geographic Information Systems (GIS) based on models according to the Unified Mode...
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Héctor Cardona-Reyes, Jaime Muñoz-Arteaga, Andres Mitre-Ortiz and Klinge Orlando Villalba-Condori
The video game and entertainment industry has been growing in recent years, particularly those related to Virtual Reality (VR). Therefore, video game creators are looking for ways to offer and improve realism in their applications in order to improve use...
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Ngo Van Hien, Ngo Van He, Van-Thuan Truong and Ngoc-Tam Bui
In this paper, a hybrid realization model is proposed for the controllers of autonomous underwater vehicles (AUVs). This model is based on the model-based systems engineering (MBSE) methodology, in combination with the model-driven architecture (MDA), th...
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Karina Hauser, Helgi S. Sigurdsson, Katherine M. Chudoba
Enterprise Applications are difficult to implement and maintain because they require a monolith of code to incorporate required business processes. Service-oriented architecture is one solution, but challenges of dependency and software complexity remain...
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Woo Sung Jang and R. Young Chul Kim
In requirement engineering, it is a very important issue to generate test cases with natural language automatically. However, no test case tools deal with informal Korean requirement specifications. In the Korean military software system and airspace ind...
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Imane Essebaa, Salima Chantit and Mohammed Ramdani
Model-driven engineering (MDE) uses models during the application development process. Thus, the MDE is particularly based on model-driven architecture (MDA), which is one of the important variants of the Object Management Group (OMG). MDA aims to genera...
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Carlos Enrique Montenegro Marín, Juan Manuel Cueva Lovelle, Oscar Sanjuán Martínez, Paulo Alonso Gaona Garcia
Abstract AuthorsDownloadsReferencesHow to Cite
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Yushan Li and Satoshi Fujita
This paper proposes a novel event-driven architecture for enhancing edge-based vehicular systems within smart transportation. Leveraging the inherent real-time, scalable, and fault-tolerant nature of the Elixir language, we present an innovative architec...
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Javensius Sembiring, Rianto Adhy Sasongko, Eduardo I. Bastian, Bayu Aji Raditya and Rayhan Ekananto Limansubroto
This paper investigates the development of a deep learning-based flight control model for a tilt-rotor unmanned aerial vehicle, focusing on altitude, speed, and roll hold systems. Training data is gathered from the X-Plane flight simulator, employing a p...
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Yang Shi, Zhenbo Wang, Tim J. LaClair, Chieh (Ross) Wang, Yunli Shao and Jinghui Yuan
The advent of connected vehicle (CV) technology offers new possibilities for a revolution in future transportation systems. With the availability of real-time traffic data from CVs, it is possible to more effectively optimize traffic signals to reduce co...
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Guisheng Zhao, Shaonan Chen, Yixiang Liu and Kai Guo
In real-world applications, hydraulic pressure control performance is influenced by model uncertainties, the control bandwidths of valves and pumps, and deviations from the linear working region. To overcome the aforementioned obstacles, a novel referenc...
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Paolo Bocciarelli, Andrea D?Ambrogio, Tommaso Panetti and Andrea Giglio
The ever-increasing adoption of innovative technologies, such as big data and cloud computing, provides significant opportunities for organizations operating in the IT domain, but also introduces considerable challenges. Such innovations call for develop...
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Mohammad Masum Billah, Jing Zhang and Tianchi Zhang
Data-driven technologies and automated identification systems (AISs) provide unprecedented opportunities for maritime surveillance. As part of enhancing maritime situational awareness and safety, in this paper, we address the issue of predicting a ship?s...
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Usman T. Khan, Caterina Valeo
Pág. 1 - 24
A fuzzy neural network method is proposed to predict minimum daily dissolved oxygen concentration in the Bow River, in Calgary, Canada. Owing to the highly complex and uncertain physical system, a data-driven and fuzzy number based approach is preferred ...
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João Angelo Martini, Marcos Antonio Cavenaghi, Claudinei Geraldo (Author)
Pág. 1459 - 1467
Performance analysis of interconnection networks for Wolf architecture is provided. Based on communication requirements, an optical interconnection network model for the architecture, an architectural modification, a new model for the Wolf architecture w...
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Ilia Zaznov, Julian Martin Kunkel, Atta Badii and Alfonso Dufour
This paper introduces a novel deep learning approach for intraday stock price direction prediction, motivated by the need for more accurate models to enable profitable algorithmic trading. The key problems addressed are effectively modelling complex limi...
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Eric Fotsing,Severin Vianey Tuekam Kakeu,Eric Desire Kameni,Marcellin Julius Antonio Nkenlifack
Pág. 16 - 37
Nowadays, there is an increasing need to rapidly build more realistic models to solve environmental problems in an interdisciplinary context. In particular, agent-based and spatial modeling have proven to be useful for understanding land use and land cov...
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Shiva Gopal Shrestha and Soni M. Pradhanang
The general practice of rainfall-runoff model development towards physically based and spatially explicit representations of hydrological processes is data-intensive and computationally expensive. Physically based models such as the Soil Water Assessment...
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