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Pamela Al Alam, Joseph Constantin, Ibtissam Constantin and Clelia Lopez
Road traffic congestion has became a major problem in most countries because it affects sustainable mobility. Partitioning a transport network into homogeneous areas can be very useful for monitoring traffic as congestion is spatially correlated in adjac...
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Husam Suleiman
Cloud?fog computing is a large-scale service environment developed to deliver fast, scalable services to clients. The fog nodes of such environments are distributed in diverse places and operate independently by deciding on which data to process locally ...
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Faissal Ouardi, Zineb Lotfi and Bilal Elghadyry
This paper describes a fast algorithm for constructing directly the equation automaton from the well-known Thompson automaton associated with a regular expression. Allauzen and Mohri have presented a unified construction of small automata and gave a cons...
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Kun Chen, Yun Wang and Zenggang Lin
In the realm of building demolition, ensuring the uniform distribution of energy from multiple sources is of paramount significance for the systematic deconstruction of large structures. This study presents an integrated methodology that combines genetic...
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Shih Yu Chang, Hsiao-Chun Wu and Yifan Wang
In order to perform big-data analytics, regression involving large matrices is often necessary. In particular, large scale regression problems are encountered when one wishes to extract semantic patterns for knowledge discovery and data mining. When a la...
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Gabriel Valiente
Graph algorithms that test adjacencies are usually implemented with an adjacency-matrix representation because the adjacency test takes constant time with adjacency matrices, but it takes linear time in the degree of the vertices with adjacency lists. In...
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Piotr M. Marusak
A method for the advanced construction of the dynamic matrix for Model Predictive Control (MPC) algorithms with linearization is proposed in the paper. It extends numerically efficient fuzzy algorithms utilizing skillful linearization. The algorithms com...
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Semyon A. Vorobyov,Tatyana ?. Prikhodko
Pág. 22 - 30
The fact that people are equipped with smartphones and smartphones are equipped with a variety of different sensors and various communication protocols allows them to be used as ad-hoc network nodes for solving public sensing problems. Public sensing (PS...
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Derry Pramono Adi, Lukman Junaedi, Frismanda, Agustinus Bimo Gumelar, Andreas Agung Kristanto
Pág. 60 - 74
Initially, the goal of Machine Learning (ML) advancements is faster computation time and lower computation resources, while the curse of dimensionality burdens both computation time and resource. This paper describes the benefits of the Feature Selection...
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Yacouba Adama Koné, Jacqueline Konaté, Oumar Y. Maïga and Hamidou Tembiné
Strategic modelling with a panoramic view plays an important role in decision-making problems. It offers the possibility of generating different solutions before making a decision. This is particularly relevant in critical situations. This article addres...
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Christian Tipantuña and Xavier Hesselbach
The increasing worldwide energy demand, the CO2 emissions generated due to the production and use of energy, climate change, and the depletion of natural resources are important concerns that require new solutions for energy generation and management. In...
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Ilya V. Afanasyev,Alexander S. Antonov,Dmitry A. Nikitenko,Vadim V. Voevodin,Vladimir V. Voevodin,Kazuhiko Komatsu,Osamu Watanabe,Akihiro Musa,Hiroaki Kobayashi
Pág. 65 - 69
The main goal of this work is to demonstrate that the development of data-intensive appli- cations for vector systems is not only important and interesting, but is also very possible. In this paper we describe possible implementations of two fundamental ...
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Omar Dib, Marie-Ange Manier, Laurent Moalic, Alexandre Caminada
Pág. 134 - 143
Route planning in urban public transport systems constitutes a common decision problem faced by travelers. Therefore, building Advanced Traveler Information Systems (ATIS) that provide passengers with pre-trip information on navigating through the networ...
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Jie Yang ; Limin Jia ; Yunxiao Fu ; Shaofeng Lu
Pág. 76 - 90
Based on the characteristics of freight train control, which are nonlinear, time-delay, with multi-constraint and multiobjective, this paper focuses on speed tracking problem. Firstly, in a gradual process, a multi-modal fuzzy PID (MM-FPID) control algor...
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Hui-Ping Chen, Bi Yu Chen, Yafei Wang and Qingquan Li
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Jesus Carretero,Salvatore Distefano,Dana Petcu,Daniel Pop,Thomas Rauber,Gudula Rünger,David E. Singh
Pág. 77 - 104
The chances to reach Exascale or Ultrascale Computing are strongly connected with the problem of the energy consumption for processing applications. For physical as well as economical reasons, the energy consumption has to be reduced significantly to mak...
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Tamas Foldi, Chris von Csefalvay and Nicolas A. Perez
The new barrier mode in Apache Spark allows for embedding distributed deep learning training as a Spark stage to simplify the distributed training workflow. In Spark, a task in a stage does not depend on any other tasks in the same stage, and hence it ca...
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Yingjie Tang, Junmin Mou, Linying Chen and Yang Zhou
Through the continuous development of intellectualization, considering the lifecycle of ships, the future of a waterborne traffic system is bound to be a mixed scenario where intelligent ships of different autonomy levels co-exist, i.e., mixed waterborne...
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Sanjiv R. Das, Karthik Mokashi and Robbie Culkin
We examine the use of deep learning (neural networks) to predict the movement of the S&P 500 Index using past returns of all the stocks in the index. Our analysis finds that the future direction of the S&P 500 index can be weakly predicted by the...
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Jiaye Li, Tiejian Li, Suning Liu and Haiyun Shi
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