Christian Fernández-Campusano

• Phd in Computer Science.
• Researcher at USACH - UPV / EHU

This study presents how integrating natural language processing (NLP) and machine learning (ML) optimizes strategic management in the port sector. Using hybrid NLP-ML models, the accuracy of classification and prediction of strategic information is significantly improved by analyzing large sets of textual data, both unstructured and semi-structured...

Currently, telecommunications companies seek to optimize wireless communication networks. This work proposes a practical method for classifying the coverage of the Long Term Evolution (LTE) network based on measurements of the Reference Signal Received Power (RSRP) parameter. Initially, the RSRP is captured by an industrial router, and a Federated...

The core problem of a multimodal transportation system is integrating various transportation modes into a cohesive, efficient, and user-friendly network. This study introduces a novel centralized load concentration approach for regions facing geographic challenges. The principal aim is improving multimodal transportation systems by mitigating CO2 e...

This study aims to enhance multimodal transportation systems by mitigating CO2 emissions and enhancing operational efficiency. It introduces a novel centralized cargo concentration approach tailored for regions facing geographical challenges. The method proposes for direct transportation of cargo from its loading origin to export ports, bypassing i...

Wireless sensor networks (WSNs) are faced with the challenge of energy conservation, which makes efficient routing protocols crucial for prolonging network lifetime. In addition, delay time from sensors to the base station is critical in applications such as military, medical, and security monitoring systems. Chain‐based protocols like PEGASIS, CCB...

Background: In the modern world, mobile apps are essential for human advancement, and pandemic control is no exception. The use of mobile apps and technology for the detection and diagnosis of COVID-19 has been the subject of numerous investigations, although no thorough analysis of COVID-19 pandemic prevention has been conducted using mobile apps,...

Autonomous Vehicles (AVs) and driverless cars which are equipped with communication capabilities, advanced sensing, and Intelligent Control Systems (ICS), aim to modernize the transportation system. It increases user satisfaction by enhancing personal safety, reducing infrastructure costs, decreasing environmental interruption, and saving time for...

The method of indeterminate monitoring of household appliances involves analyzing voltage and current signals detected at the power supply. Each electrical appliance exhibits a distinct consumption pattern (e.g., vacuum cleaners, ovens, etc.), including their switch-on and switch-off timings. The monitoring system determines these consumption patte...

The technological shifts driven by Industry 4.0 and the impact of the COVID-19 pandemic has ushered new challenges for seaports, necessitating a transformation in their information and communications systems to enhance global competitiveness. As the United Nations (UN) International Maritime Organization mandates the adoption of a Maritime Single W...

Owing to increased energy demand, renewable energy sources have recently reached greater heights in the power industry. In this regard, integrating renewable energy with the power grid system has become essential in meeting consumer's energy demands. The novelty in this article is the design of an advanced Aalborg inverter with a reduced number of...

BACKGROUND In the modern world, mobile applications are essential to human advancement and pandemic control is no exception. The use of mobile applications and technology for the detection and diagnosis of COVID-19 disease has been the subject of numerous investigations. Objective: Since no thorough analysis of the COVID-19 epidemic prevention has...

Background In the modern world, mobile apps are essential for human advancement, and pandemic control is no exception. The use of mobile apps and technology for the detection and diagnosis of COVID-19 has been the subject of numerous investigations, although no thorough analysis of COVID-19 pandemic prevention has been conducted using mobile apps,...

is study deals with identifying the accident blackspots and the in uencing factors causing accidents using factored analysis in a medium-sized city (Tirunelveli) in India. From the literature review, the geospatial technique to identify the blackspots and the factors causing accidents was used for analysis. e most in uencing factors driving the acc...

This paper deals with identifying the accident black spots and the influencing factors causing accidents using factored analysis in the medium-sized city (Tirunelveli) in India. From the literature review, the geospatial technique to identify the black spots and the factors causing accidents was used for analysis. The most influencing factors drivi...

With the increasing availability of high-resolution satellite and drone images and the Internet of Things (IoT) has begun transforming remote sensing of agriculture by improving accessibility and frequency of updates. Modern IoT-based smart agriculture systems use Wireless Sensor Networks (WSNs) to gather information from an ecosystem that regulate...

Blockchain technology (BC) offers an innovation platform for decentralized and transparent transactions in the maritime port industry. This technology allows guaranteeing trust, transparency and traceability of cargo and data to be tracked. Today, in the port systems of emerging market countries, BC technology is increasingly being incorporated int...

This work focuses on an analysis of the public health system with emphasis on the healthcare network and tertiary care, whose objectives are designed to respond to the needs of each patient. A review of the literature and a field study of the problem of studying the perception of internal and external users is presented.

The Public Health Service in Chile consists of different levels of complexity and coverage depending on the severity and degree of specialization of the pathology to be treated. From primary to tertiary care, tertiary care is highly complex and has low coverage. This work focuses on an analysis of the public health system with emphasis on the healt...

Predicting copper price is essential for making decisions that can affect companies and governments dependent on the copper mining industry. Copper prices follow a time series that is nonlinear and non-stationary, and that has periods that change as a result of potential growth, cyclical fluctuation and errors. Sometimes, the trend and cyclical com...

Predicting copper price is essential for making decisions that can affect companies and governments dependent on the copper mining industry. Copper prices follow a time series that is non-linear, non-stationary, and which have periods that change as a result of potential growth, cyclical fluctuation and errors. Sometimes the trend and cyclical comp...

The use of genetic algorithms and techniques of big data support the decision-making of manner effective in problems, such as the variation in copper prices. Today, the price of copper and its variations represent a significant financial issue for mining companies and the Chilean government because of its high impact on the national economy. This p...

Distributed applications are present in many aspects of everyday life. Banking, healthcare or transportation are examples of such applications. These applications are built on top of distributed systems. Roughly speaking, a distributed system is composed of a set of processes that collaborate among them to achieve a common goal. When building such...

Recently, IoT has greatly influenced our daily lives through various applications. One of the most promising application is smart city that leverages IoT devices to manage cities without any human intervention. The high possibility of sensing and publishing sensitive data in this smart environment leads to three significant issues: (1) privacy-pres...

Smart City is an application of the Internet of Things (IoT) with the aim of managing cities without human intervention. Each IoT device that is producing data may sense a sensitive one that should not be disclosed unintentionally. Due to the existence of a large number of devices in the near future, the possibility of information leakage, privacy...

Nowadays sensors play nearly a crucial play in our daily live. Because of their important impacts like investigation of non-reachable places for human kind, etc. Sensor networks consist of tiny sensors that can be homogenous or heterogeneous. Sensors will not mange by human so they have to be self-management. Most of Sensors works with low-producer...

We introduce "DPSmartCity," a context-aware dynamic software-defined networking (SDN) framework that preserves privacy in smart cities. Enhancing the Internet of Things (IoT)-centric infrastructure with dynamic network management, the SDN controller employs contextual information and trust evaluation, determining secure routes from IoT devices to t...

This paper presents a distributed leader election algorithm for crash-recovery and omission environments. Contrary to previous works, our algorithm tolerates the occurrence of crash-recoveries and message omissions to any process during some finite but unknown time, after which a majority of processes in the system remains up and does not omit mess...

Leader election is a key service for many dependable distributed systems. It eases the consistent management of replicas in current highly available computing scenarios. This paper presents a new leader election algorithm for crash-recovery and omission environments, in order to support fault-tolerant agreement protocols, e.g., Paxos. As a novelty...

In this work we consider the problem of leader election, abstraction used by many distributed services to select a unique process for coordinating actions. We propose an eventual leader election algorithm for partially synchronous systems prone to concurrent crash-recovery and omission failures where any process may suffer failures forever as long...

In this work we consider the problem of leader election, abstraction used by many distributed services to select a unique process for coordinating actions. We propose an eventual leader election algorithm for partially synchronous systems prone to concurrent crash-recovery and omission failures where any process may suffer failures forever as long...

Leader election is a key service for many dependable distributed systems. It eases the consistent management of replicas in current highly available computing scenarios. This brief announcement presents a new leader election algorithm for crash-recovery and omission environments, in order to support fault-tolerant agreement protocols, e.g., Paxos....

Fault-tolerant leader election is a basic building block for dependable distributed computing, since it allows coordinating decisions among replicas such that they remain consistent. Indeed, several fault-tolerant agreement protocols rely on an eventual leader election service. This problem has been initially studied in crash-prone systems, and mor...

Leader election is a key service for many dependable ubiquitous systems. It eases the consistent management of replicas in current highly available computing scenarios. This paper presents our work on the design of a leader election service for crash-recovery and omission environments, in order to support fault-tolerant agreement protocols, e.g., P...

Leader election is a key service for many dependable distributed systems. It eases the consistent management of replicas in current highly available computing scenarios. This paper presents a new distributed leader election algorithm for crash-recovery and omission environments, in order to support fault-tolerant agreement protocols, e.g., Paxos. C...

Ubiquitous computing has inherent features, e.g., a number of elements in the system with restricted communication and computation capabilities, which make harder to achieve dependability. In this work we explore this research line through the study of TrustedPals, a smartcard-based framework that allows implementing security policies in ubiquitous...

We investigate the performance of the ChandraToueg and Paxos consensus algorithms, using as case study TrustedPals, a smartcard-based framework which allows to implement security policies in distributed systems. The current architecture of TrustedPals uses the Chandra-Toueg consensus algorithm adapted to the omission failure model. In this work, we...

Ubiquitous computing has inherent features, e.g., a number of elements in the system with restricted communication and compu-tation capabilities, which make harder to achieve dependability. In this work we explore this research line through the study of TrustedPals, a smartcard-based framework which allows implementing security policies in ubiquito...

TrustedPals is a smartcard-based framework which allows to implement security policies in distributed systems. More precisely, TrustedPals allows to solve the Secure Multiparty Computation problem in a fully distributed way, i.e., without the need of a Trusted Third Party. The current architecture of TrustedPals considers a static set of processes,...

Ubiquitous computing has inherent features, e.g., a number of elements in the system with restricted communication and compu-tation capabilities, which make harder to achieve dependability. In this work we explore this research line through the study of TrustedPals, a smartcard-based framework which allows implementing security policies in ubiquito...