José Luís Santos

ORCID: 0000-0002-2727-6774
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Data Management and Algorithms
  • Advanced Combinatorial Mathematics
  • Vehicle Routing Optimization Methods
  • graph theory and CDMA systems
  • Multi-Criteria Decision Making
  • Software-Defined Networks and 5G
  • Transportation Planning and Optimization
  • Coding theory and cryptography
  • Optimization and Search Problems
  • Fuel Cells and Related Materials
  • Banking stability, regulation, efficiency
  • Composite Material Mechanics
  • Advanced MIMO Systems Optimization
  • Advanced Optical Network Technologies
  • Iterative Methods for Nonlinear Equations
  • Topology Optimization in Engineering
  • Elasticity and Material Modeling
  • ECG Monitoring and Analysis
  • Differential Equations and Numerical Methods
  • semigroups and automata theory
  • Railway Engineering and Dynamics
  • Advanced Graph Theory Research
  • HIV-related health complications and treatments
  • Microbial Fuel Cells and Bioremediation
  • Matrix Theory and Algorithms

University of Coimbra
2012-2024

University of Nebraska–Lincoln
2013-2020

AT&T (United States)
2009

The shortest path problem is a classical network that has been extensively studied. of determining not only the path, but also listing K paths (for given integer K>1) one studied so intensively, despite its obvious practical interest. Two different types problems are usually considered: unconstrained and constrained problem. While in former no restriction considered definition all have to satisfy some condition – for example, be loopless. In this paper new algorithms proposed uncontrained...

10.1142/s0129054199000186 article EN International Journal of Foundations of Computer Science 1999-09-01

10.1016/s0167-6377(97)00008-4 article EN Operations Research Letters 1997-05-01

Eco-routing distributes traffic in cities to improve mobility sustainability. The implementation of eco-routing real-life requires a diverse set information, including different kinds sensors. These sensors are often already integrated city infrastructure, some technologically outdated, and operated by multiple entities. In this work, we provide use case-oriented system design for an service leveraging Internet-of-Things (IoT) technologies. methodology involves six phases: (1) defining case...

10.1016/j.scs.2022.104180 article EN cc-by-nc-nd Sustainable Cities and Society 2022-10-04

Abstract To keep up with the increasing number of connected devices in people’s daily lives, it is necessary to develop intelligent mechanisms that perform entire network management, interconnecting Wi-Fi, and emerging beyond Fifth-Generation (5G) communications. Hence, essential consider multiple usage scenarios, while managing end devices’ limitations. As a result, developing system allows operators link Wi-Fi services on their main networks becomes critical issue. These include new...

10.1007/s10922-023-09788-3 article EN cc-by Journal of Network and Systems Management 2023-11-30

In this paper we present a variant of the Accelerated Overrelaxation iterative method (AOR), denoted by modified AOR-like (MAOR-like method) for solving augmented systems, i.e., with three real parameters $\omega$, $r$ and $\alpha$. For special values $\alpha$ get MSOR-like method, SOR-like method. An equation relating involved eigenvalues iteration matrix MAOR-like is obtained. Furthermore, some convergence conditions are derived. This generalizes main results Li, Nie, Evans 2004 Shao, Li...

10.1090/s0025-5718-2011-02483-x article EN Mathematics of Computation 2011-06-17

In this paper, we present a comprehensive survey of currently available train approach detection methods and discuss some the more innovative techniques for addressing safety at highway-rail intersections (HRI) as well railway workers by providing sufficient early warning oncoming locomotives. A review various sensor technologies is provided, all which have been attempted in experimental settings academia transportation agencies. Our goal to highlight remaining research issues help foster...

10.1109/vtcfall.2013.6692407 article EN 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall) 2013-09-01

The advances made in sustainable energy technology to power small Internet of Things (IoT) devices have raised the challenge how prolong neutral operation (ENO), which no node depletes its battery and all nodes prevent batteries from overcharging. Extending operational time IoT networks through environmental friendly sources (e.g., <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">solar, thermal, vibration</i> ) is first stage toward...

10.1109/jiot.2021.3133615 article EN IEEE Internet of Things Journal 2021-12-08

Abstract The multiobjective shortest path problem (MSPP) consists of finding the best nondominated linking two specified nodes in a network where k &gt; 1 different criteria are considered for arc costs. Solving MSPP implies determining all paths; there may be many such paths, making selection process very hard task to accomplish. A traditional way dealing with difficulty is using utility function parameters aggregated weights. In this work, an alternative based on norm value associated each...

10.1002/net.10077 article EN Networks 2003-05-07

This paper presents a mixed-integer linear programming model for two-stage one-dimensional cutting stock problem that appears in the make-to-order steel industry. In this problem, ingots must be cut into intermediate pieces (billets) to heated furnace and then molded bar with section indicated production order. is obtain final bars desired lengths. The main objective reduce waste production. A heuristic approach proposed can easily implemented industry produces solutions an optimal gap less...

10.1109/isie.2018.8433734 article EN 2018-06-01

The continued growth and popularity of IoT-based wearables coupled with wireless body area sensor network (BASN) communication architectures continues to gain widespread adoption for e-Health applications. Challenges facing the this vision require e- Health wearable IoT/BASNs make effective use bandwidth, energy stores extended continuous transmission physiological data, mitigation computational burden when analyzing data in cloud at a global scale and, most importantly, ensuring features...

10.1109/icc.2018.8422796 article EN 2018-05-01

Personnel safety is a cornerstone of railroad operations. However, various activities such as track maintenance and repair require workers to be physically present on or near tracks that are potentially active. This creates significant risk the workers, especially at very high train speeds in places where geographical topography reduces direct line sight. In fact, fatalities injuries continue reported. A common approach lessen this problem employ specifically act lookouts — observe...

10.1115/jrc2014-3729 article EN 2014-04-02

Let ${\mathcal W}_n$ denote any of the three families classical Weyl groups: symmetric groups S}_n$, hyperoctahedral (signed permutation groups) S}^B_n$, or even-signed S}^D_n$. In this paper we give an uniform construction a Hamilton cycle for restriction to involutions on these with respect inverse-closed connecting set involutions. This is optimal Hamming distance only group S}_n$. We also recall algorithm Gray code type $B$ A modification would provide Code $D$ two, which be optimal....

10.48550/arxiv.2401.12839 preprint EN cc-by-nc-nd arXiv (Cornell University) 2024-01-01

Abstract In this work we focus on the development of a numerical algorithm for inverse elastography problem. The goal is to perform an efficient material parameter identification knowing elastic displacement field induced by mechanical load. We propose define problem through quadratic optimization program which uses direct formulation objective function. way, end up with convex minimization attains its minimum at solution linear system. effectiveness our method illustrated numeral examples.

10.21203/rs.3.rs-4000256/v1 preprint EN cc-by Research Square (Research Square) 2024-03-06

Abstract In this work we focus on the development of a numerical algorithm for inverse elastography problem. The goal is to perform an efficient material parameter identification knowing elastic displacement field induced by mechanical load. We propose define problem through quadratic optimization program which uses direct formulation objective function. way, end up with convex minimization attains its minimum at solution linear system. effectiveness our method illustrated numeral examples.

10.1186/s13362-024-00156-7 article EN cc-by Journal of Mathematics in Industry 2024-08-19
Coming Soon ...