Jordi Mateo Fornes

Universitat de Lleida | UDL · Department of Computer and Industrial Engineerings

This report presents the preliminary results on the prediction of risk of cancer by the consumption of prescribed drugs.

Under many scenarios where resources may be scarce or a good Quality of Service is a requirement, appropriately sizing components and devices is one of the main challenges. New scenarios, such as IoT, mobile cloud computing, mobile edge computing or fog computing, have emerged recently. The ability to design, model and simulate those infrastructure...

Cloud systems and microservices are becoming powerful tools for businesses. The evidence of the advantages of offering infrastructure, hardware or software as a service (IaaS, PaaS, SaaS) is overwhelming. Microservices and decoupled applications are increasingly popular. These architectures, based on containers, have facilitated the efficient devel...

Energy as a service (EaaS) is an emerging business model that enables the otherwise passive energy consumers to play an active role and participate in the energy utility services. This platform is formed through smart contracts registering peer-to-peer (P2P) transactions of energy through price and quantity. Many industries, including finance, have...

The quality of such processed agrifood products as dehydrated apple is related to the quality and variety of fresh harvested products and connected with wastage reduction throughout the agrifood supply chain. For this purpose, cold-storage management is important to avoid or mitigate the quality decay of fresh products stored in refrigerated system...

With the growing adoption of the Internet of Things (IoT) technology in the agricultural sector, smart devices are becoming more prevalent. The availability of new, timely, and precise data offers a great opportunity to develop advanced analytical models. Therefore, the platform used to deliver new developments to the final user is a key enabler fo...

In the pig farming industrial sector, innovation is a crucial factor in maintaining competitiveness. On the research side, there exists a large body of models and decision analysis tools that too often do not reach the end-user. In this chapter, we propose a software-as-a-service based on a cloud-based Decision Support System architecture that shou...

Background: Previous works have shown that risk factors for some kinds of cancer depend on people's lifestyle (e.g. rural or urban residence). This article looks into this, seeking relationships between cancer, age group, gender and population in the region of Lleida (Catalonia, Spain) using Multiple Correspondence Analysis (MCA). Methods: The d...

BACKGROUND Previous works have shown that risk factors are associated with an increased risk of colorectal cancer. OBJECTIVE The purpose of this study was to detect these associations in the region of Lleida (Catalonia) using Multiple Correspondence Analysis (MCA) and K-means. METHODS The cross-sectional study was made up of 1,085 colorectal canc...

This work deals with language detection. It includes new proposals ranging from lexicon and morphological analysis to an increasing use of machine learning solutions. In this case, the language study is focused on Catalan, a minority language. In the context of the Twitter social network, this increases difficulty in detecting tweets (messages writ...

UNSTRUCTURED Background. Nowadays, healthy lifestyle is on the rise. Many people are aware of its benefits and this trend is increasingly spreading to all sectors of the population [22] [23]. Efforts are directed towards controlling dietary habits, monitoring healthy activity and sports. Current mobile-app diet services can be improved by providing...

Purpose Wine has been produced for thousands of years and nowadays we have seen a spread in the wine culture. E-commerce sales of wine have increased considerably and online customer's satisfaction is influenced by quality and price. This paper presents a case study of the company “QuieroVinos, S.L.”, an online wine shop founded in 2015 that sells...

In this paper we investigate, analyze and compare sentimental analysis methodologies in Catalan tweets. The main goal is to develop a high-performance Catalan classifier. There are three main steps: Catalan language preprocessing tool, classification model and corpus training. The preprocessing tool is used for cleaning and extracting features from...

Benders Decomposition (BD) is a method used to solve stochastic linear problems via scenario analysis. Cluster BD (CBD) is one of its smart improvements that speed up the execution time, taking advantage of tighter feasible cuts found by grouping scenarios into clusters. In this paper, we propose a new design for CBD, one which takes into account t...

This paper presents the development and adoption of a discrete event simulation model of a pig meat-packing plant located in Navarre (Spain). The simulation model was developed to represent all the tasks and pig meat cuts production performed in the plant and implemented in ExtendSim ™ 9.2. The development was incremental as the whole model was mad...

Cloud systems are becoming a powerful tool for business. The evidence of the advantages of offering infrastructure, hardware or software as a service (IaaS, PaaS, SaaS) is overwhelming. Therefore, for SaaS providers, it is essential to know the virtual resources required to optimise the service offered and keep the quality of service (QoS) at the d...

Reliability of power system in terms of investments in network maintenance and restructuring for power distribution network has gained importance due to increase in distributed generation. To determine the reliability of the power distribution network, the state of power apparatus, losses in the network and consumer satisfaction indices are key fac...

MetReS (Metabolic Reconstruction Server) is a genomic database that is shared between two software applications that address important biological problems. Biblio-MetReS is a data-mining tool that enables the reconstruction of molecular networks based on automated text-mining analysis of published scientific literature. Homol-MetReS allows function...

This work is a collaborative project with Chilean institutions. The main interest is combining the emerging trends in cloud computing with different agriculture supply chains. For this work, the Chilean dried apple supply is considered. Authors developed models and a DSS to help decision makers to improve the tactical decisions involved.

Optimization models are being more used to tackle agro-business problems. This way, cloud computing, machine learning, big data, internet of things and optimization are key factors in the innovation of the sector. This paper proposes a cloud architecture to execute and display models related to the agro-business in a fancy an easy way. Extending th...

IFORS 2017 - Presentation

The initial diagnosis of rare diseases is difficult because they are infrequent and doctors do not often see or recognize their symptoms. Developing tools to assist in this diagnosis would provide a way to facilitate medical practice in this area. The broader goal of this project is to develop such a tool, which we name Rare Disease Discovery, RDD...

Background: Hypertension or high blood pressure is on the rise. Not only does it affect the elderly but is also increasingly spreading to younger sectors of the population. Treating this condition involves exhaustive monitoring of patients. The current mobile health services can be improved to perform this task more effectively. Objective: To devel...

Background: Hypertension or high blood pressure is on the rise. Not only does it affect the elderly but is also increasingly spreading to younger sectors of the population. Treating this condition involves exhaustive monitoring of patients. The current mobile health services can be improved to perform this task more effectively. Objective: To devel...

Production planning models are achieving more interest for being used in the primary sector of the economy. The proposed model relies on the formulation of a location model representing a set of farms susceptible of being selected by a grocery shop brand to supply local fresh products under seasonal contracts. The main aim is to minimize overall pr...

Hypertension or high blood pressure is a condition on the rise. Not only does it affect the elderly but is also increasingly spreading to younger sectors of the population. Treating it involves exhaustive monitoring of patients. A tool adapted to the particular requirements of hypertension can greatly facilitate monitoring and diagnosis. This paper...

Hypertension or high blood pressure is a condition on the rise. Not only does it affect the elderly but is also increasingly spreading to younger sectors of the population. Treating it involves exhaustive monitoring of patients. A tool adapted to the particular requirements of hypertension can greatly facilitate monitoring and diagnosis. This paper...

Hypertension or high blood pressure is a condition on the rise. Not only does it affect the elderly but is also increasingly spreading to younger sectors of the population. Treating it involves exhaustive monitoring of patients. A tool adapted to the particular requirements of hypertension can greatly facilitate monitoring and diagnosis. This paper...

In biomedical sciences, the problem of modelling an outcome, in the ” small data ” context, is usually solved by providing one single model, associated with an acceptable goodness of fit. This is accomplished by using a set of predictors and a given modelling strategy. Thus, the same functional relationship is assumed between the predictors and the...

In biomedical sciences, the problem of modelling an outcome, in the " small data " context, is usually solved by providing one single model, associated with an acceptable goodness of fit. This is accomplished by using a set of predictors and a given modelling strategy. Thus, the same functional relationship is assumed between the predictors and the...

This work compares the parallelization between two of the classical decomposition methods such as the Benders Decomposition and the Lagrange Decomposition in the resolution of stochastic MILP models. Moreover, this work presents the advantages and the disadvantages of using the parallelization of both techniques. This work wonders whether or not th...

This work presents a Green Strategy model for cloud systems. Cloud Federation refers to the set of software, infrastructure and platform services accessed via the Internet. We provide a solution for consolidation of VMs that make up the nodes of the cloud. In addition to guaranteeing the Service Level Agreement (SLA), the main goal is to optimize e...

This work presents a Green Strategy model for cloud systems. Cloud Federation refers to the set of software, infrastructure and platform services accessed via the Internet. We provide a solution for consolidation of VMs that make up the nodes of the cloud. In addition to guaranteeing the Service Level Agreement (SLA), the main goal is to optimize e...

This work presents a Green Strategy model for cloud systems. Cloud Federation refers to the set of software, infrastructure and platform services accessed via the Internet. We provide a solution for consolidation of VMs that make up the nodes of the cloud. In addition to guaranteeing the Service Level Agreement (SLA), the main goal is to optimize e...

A new parallel algorithm for solving the dual problem corresponding to the Lagrangian Decomposition of two-stage stochastic mixed 0-1 models is proposed in this paper. The two-stage stochastic mixed problem is represented by splitting variable representation of the deterministic equivalent model (DEM), where 0-1 and continuous variables appear at a...

When designing a cloud infrastructure, it is critical to ensure beforehand that the system will be able to offer the desired level of QoS (Quality of Service). Our attention is focused here on efficient QoS accessing to a biological database in cloud computing systems. Our group developed two software applications that address important biological...

This paper presents a power-aware scheduling policy algorithm of Virtual Machines into nodes called Green Cloud (GreenC) for Heterogeneous cloud systems. GreenC takes into account optimal assignments according to physical and virtual machine heterogeneity, the current host workload and communication between the different virtual machines. An initia...

Providers of cloud environments must tackle the challenge of configuring their system to provide maximal performance while minimizing the cost of resources used. However, at the same time, they must guarantee an SLA (service-level agreement) to the users. The SLA is usually associated with a certain level of QoS (quality of service). As response ti...

Hypertension or high blood pressure is a condition on the rise. Not only does it affect the elderly but it is also increasingly spreading to younger sectors of the population. Treating it involves exhaustive monitoring of patients. Current health services can be improved to perform this task more effectively. A tool adapted to the particular requir...

Our group developed two biological applications, Biblio-MetReS and Homol-MetReS, accessing the same database of organisms with annotated genes. Biblio-MetReS is a data-mining application that facilitates the reconstruction of molecular networks based on automated text-mining analysis of published scientific literature. Homol-MetReS allows functiona...

This paper presents a power-aware scheduling policy algorithm called Green Preserving SLA (GPSLA) for cloud computing systems with high workload variability. GPSLA aims to guarantee the SLA (Service-Level Agreement) by minimizing the system response time and, at the same time, tries to reduce the energy consumption. We present a formal solution, ba...

This work proposes the parallelization of the Cluster Benders Decomposition proposed by Laureano et al., a newer and faster version of the L-shaped algorithm. The parallel version has been implemented in a multicore and in a cluster system, as the base frameworks of shared and distributed HPC systems respectively. Extensive performance evaluation a...

This paper presents a power-aware scheduling policy algorithm called Green Cloud (GreenC) for Heterogeneous cloud systems. As required by most cloud systems, GreenC must guarantee a SLA (Service-Level Agreement). Usually, the SLA is associated with a certain level of QoS (Quality of Service). As response time is perhaps the most widely used QoS met...

The ability to deliver guaranteed QoS (Quality of Service) is crucial for the commercial success of cloud platforms. This paper presents a model based on queuing theory to study computer service QoS in cloud computing. Cloud platforms are modeled with an open Jackson network that can be used to determine and measure the QoS guarantees the cloud can...

The main objective of this paper is to present a new program that facilitates the management of people who want to quit smoking, implemented through an e-treatment software called S-PC (Smoker Patient Control). S-PC is a web-based application that manages groups of patients, provides a bidirectional communication through mobile text messages and e-...

This short presents a prototype based on the PSysCal tool [1] to help ecologists in their daily tasks. One of these tasks consists of modeling the interaction between different species in complex ecosystems. Nowadays, the current tools that allow this task to be performed, such as PSysCal, require huge amounts of computational resources, and also a...

This paper deals with guaranteeing the SLA (Service-Level Agreement) on a cloud. We present an SLA scheduling algorithm named SLA&Power Aware that also takes power consumption into account. The proposal also offers insight into the scalability problem in cloud-based systems when changing the computing requirements, in other words, when there is a h...

This paper focuses on the scalability problem in cloud-based systems when changing the computing requirements, this is, when there is a high degree of requesting service variability in cloud-computing environments. We study a specific scenario for web-based application deployed in a cloud system, where the number of requests can change with time. T...