Manuel Castejón Limas

Manuel Castejón Limas
Universidad de León | UNILEON · School of Industrial and Computer Engineering

Dr.

About

106
Publications
30,970
Reads
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668
Citations
Additional affiliations
November 2002 - present
Universidad de León
Position
  • Professor (Assistant)
January 2000 - November 2002
Universidad de La Rioja (Spain)
Position
  • Becario FPI

Publications

Publications (106)
Article
Mathematical modeling and data-driven methodologies are frequently required to optimize industrial processes in the context of Cyber-Physical Systems (CPS). This paper introduces the PipeGraph software library, an open-source python toolbox for easing the creation of machine learning models by using Directed Acyclic Graph (DAG)-like implementations...
Chapter
Manufacturing processes require to satisfy quality standards in the produced parts. In particular, the edge finishing must be burr-free, avoiding that it yields different problems such as wasting time removing them what increases the production cost and time. A burr can be noticed microscopically, but it can contain imperfections or evidence of poo...
Chapter
Quality standards involve objective procedures that guarantee the criteria keep constant during the process. In manufacturing, an important task that operators do by visual inspection is the evaluation of the surface finish of a machined workpiece. In this paper, a vision-based system that represents the image texture by a Local Binary Pattern vect...
Article
Micro milling is a versatile machining process owing to its capability to machine, by material removal, micro-sized components with complex geometrical features. However, micro milling tools wear quickly, being a key issue to determine tool wear condition in order to prevent excessive tool wear or a sudden tool breakage while machining, which would...
Article
Metallic pieces are typically machined by continuous tool passes, which usually causes regular patterns in the form of straight edges in the surface of the pieces. An irregular pattern on the surface of the piece implies a decrease of the quality of the machined piece. In this paper, we propose an acquisition system and a machine-vision based metho...
Article
Full-text available
Parallel Programming skills may require a long time to acquire. “Think in parallel” is a skill that requires time, effort, and experience. In this work, we propose to facilitate the students’ learning process in parallel programming by using instant messaging. Our aim was to find out whether students’ interaction through instant messaging tools is...
Article
This paper reports the experience of using the PAELLA algorithm as a helper tool in robust regression instead of as originally intended for outlier identification and removal. This novel usage of the algorithm takes advantage of the occurrence vector calculated by the algorithm in order to strengthen the effect of the more reliable samples and less...
Article
This paper reports the usage of the occurrence vector provided by the PAELLA algorithm in the context of robust regression. PAELLA was originally conceived as an outlier detection and data cleaning technique. A novel approach is to use this algorithm not for discarding outliers but to generate information related to the reliability of the observati...
Conference Paper
Parallel Programming skills may require long time to acquire. "Think in parallel" is a skill which requires time, effort, and experience. In this work, we propose to facilitate the learning process in parallel programming by using instant messaging by students. Our aim is to find out if students' interaction through instant messaging is beneficial...
Article
Full-text available
Positioning asynchronous architectures based on time measurements are reaching growing importance in Local Positioning Systems (LPS). These architectures have special relevance in precision applications and indoor/outdoor navigation of automatic vehicles such as Automatic Ground Vehicles(AGVs) and Unmanned Aerial Vehicles (UAVs). The positioning er...
Article
Full-text available
Positioning asynchronous architectures based on time measurements are reaching growing importance in Local Positioning Systems (LPS). These architectures have special relevance in precision applications and indoor/outdoor navigation of automatic vehicles such as Automatic Ground Vehicles (AGVs) and Unmanned Aerial Vehicles (UAVs). The positioning...
Chapter
Milling workpiece present a regular pattern when they are correctly machined. However, if some problems occur, the pattern is not so homogeneous and, consequently, its quality is reduced. This paper proposes a method based on the use of texture descriptors in order to detect workpiece wear in milling automatically. Images are captured by using a bo...
Article
Full-text available
The accuracy requirements for sensor network positioning have grown over the last few years due to the high precision demanded in activities related with vehicles and robots. Such systems involve a wide range of specifications which must be met through positioning devices based on time measurement. These systems have been traditionally designed wit...
Article
Full-text available
Time difference of arrival (TDOA) positioning methods have experienced growing importance over the last few years due to their multiple applications in local positioning systems (LPSs). While five sensors are needed to determine an unequivocal three-dimensional position, systems with four nodes present two different solutions that cannot be discard...
Article
Full-text available
This paper proposes a methodology for dealing with an issue of crucial practical importance in real engineering systems such as fault detection and recovery of a sensor. The main goal is to define a strategy to identify a malfunctioning sensor and to establish the correct measurement value in those cases. As study case, we use the data collected fr...
Article
Full-text available
This paper presents a new texture descriptor booster, Complete Local Oriented Statistical Information Booster (CLOSIB), based on statistical information of the image. Our proposal uses the statistical information of the texture provided by the image gray-levels differences to increase the discriminative capability of Local Binary Patterns (LBP)-bas...
Book
This volume constitutes the refereed proceedings of the 14th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2019, held in León, Spain, in September 2019. The 64 full papers published in this volume were carefully reviewed and selected from 134 submissions. They are organized in the following topical sections: data mining, k...
Article
Ground-level ozone is a pollutant, greenhouse gas, and respiratory irritant which may facilitate skin cancer development and be involved in cardiovascular, respiratory and a range of other diseases. A re-distribution in the hourly ozone concentrations has occurred in the past decades while the interest in obtaining precise methods for the predictio...
Conference Paper
This paper reports the use of the PAELLA algorithm in the context of weighted regression. First, an experiment comparing this new approach versus probabilistic macro sampling is reported, as a natural extension of previous work. Then another different experiment is reported where this approach is tested against a state of the art regression techniq...
Conference Paper
Public health in developed countries is heavily affected by pollution specially in highly populated areas. Amongst the pollutants with greatest impact in health, ozone is particularly addressed in this paper due to importance of its effect on cardiovascular and respiratory problems and their prevalence on developed societies. Local authorities are...
Conference Paper
The present study aims at understanding the challenges and identifying opportunities for improving teaching and learning in higher education institutions of diverse background. The case study used for data collection was the examinations and assignments developed along a course in project management for obtaining of the bachelor degree in Mechanica...
Conference Paper
According to the situated learning theory, meaningful learning cannot be considered outside an authentic context in which it normally occurs. Thus, this work presents a virtual learning environment that seeks to improve the quality of teaching and learning processes in higher education in the field of project management. To achieve these goals, we...
Conference Paper
This paper explores the benefit of using the PAELLA algorithm in an innovative way. The PAELLA algorithm was originally developed in the context of outlier detection and data cleaning. As a consequence, it is usually seen as a discriminant tool that categorizes observations into two groups: core observations and outliers. A new look at the informat...
Chapter
This research addresses a sensor fault detection and recovery methodology oriented to a real system as can be a geothermal heat exchanger installed as part of the heat pump installation at a bioclimatic house. The main aim is to stablish the procedure to detect the anomaly over a sensor and recover the value when it occurs. Therefore, some experime...
Chapter
This paper presents a reliable machine vision system to automatically estimate and visualize tool wear in micro milling manufacturing. The estimation of tool wear is very important for tool monitoring systems and image sensors configure a cheap and reliable solution. This system provides information to decide whether a tool should be replaced so th...
Article
This paper presents a method to evaluate the learning-teaching process using machine learning techniques and the conclusions drawn in an experience on eight courses of very diverse fields. The method is based on data visualization supported by multidimensional scaling. Students’ learning behavior can be visually interpreted from the graphical resul...
Article
This paper proposes a novel method for in situ localization of multiple inserts by means of machine vision techniques, a challenging issue in the field of tool wear monitoring. Most existing research works focus on evaluating the wear of isolated inserts after been manually extracted from the head tool. The method proposed solves this issue of para...
Conference Paper
This paper reports the insights obtained during an experience on eight courses in fields of diverse nature. A methodology based on data visualization supported by multidimensional scaling is presented. These techniques might be useful for instructors interested in identifying those factors with larger impact on the learning-teaching process. Graphi...
Article
With the size digital collections are currently reaching, retrieving the best match of a document from large collections by comparing hundreds of tags is a task that involves considerable algorithm complexity, even more so if the number of tags in the collection is not fixed. For these cases, similarity search appears to be the best retrieval metho...
Article
This paper presents an innovative project management teaching approach to complement technical concepts with competences in the area of human skills. In the proposed model, the authors decided to develop a project-based and collaborative learning model combined with a transversal coordination between the same subjects in different engineering degre...
Article
This paper presents the results of investigating two teaching approaches to students studying a course on Numerical Simulation in Aerospace Engineering. In one approach a group of students used Simulink only and in the second another group used Simulink and a physical flight simulator. The impact on students' motivation and academic achievement was...
Article
Production of mushrooms and wine has a very significant economic impact on the Region of La Rioja (Spain). A direct consequence of these activities is the production of large volumes of agricultural wastes. Since composting may be a viable alternative means to reduce the environmental problems currently associated with the management of these resid...
Article
Full-text available
This paper analyses the effect of the effort distribution along the software development lifecycle on the prevalence of software defects. This analysis is based on data that was collected by the International Software Benchmarking Standards Group (ISBSG) on the development of 4,106 software projects. Data mining techniques have been applied to gain...
Article
This work presents an application of the quality function deployment method to the development of a new automatic device for supplying food additives for preserved foods, specifically in the form of tablets. The system operates at high speed with no increase in the proportion of improperly dosed containers. In short, this innovative system permits...
Article
The aim of this paper is to analyze the impact of developing projects in collaborative environments within the Bologna Process framework and the European Space for Higher Education context as a rewarding tool for the professional future of University students, attempting not only to provide them with the traditional technical competences, but also...
Article
This paper presents a system based on data mining and statistical modelling tools that permits the prediction of the development of oxide scale defects in high quality flat products after the steel industry’s hot strip mill process (HSM), but before the coil becomes processed on the pickling line (PL). The economic impact of the improvement provide...
Conference Paper
Scale-Invariant Feature Transform (SIFT) features have been widely accepted as an effective local keypoint descriptor for its robust description of digital image content. This method extracts distinctive invariant features from images that can be used to perform reliable matching between different views of an object. Object recognition proceeds by...
Article
Full-text available
In the industrial arena, artificial neural networks are among the most significant techniques in system modelling because of their efficiency and simplicity. In this paper, we present an application of artificial neural networks, along with other techniques stemming from data mining, to model the yield strength, tensile strength, elongation, strain...
Article
Full-text available
This paper reports the results obtained from use of project complexity parameters in modeling effort estimates. It highlights the attention that complexity has recently received in the project management area. After considering that traditional knowledge has consistently proved to be prone to failure when put into practice on actual projects, the...
Conference Paper
Full-text available
This paper presents a formal initiative for monitoring the competence acquisition by a team of students with different backgrounds facing the experience of being working by projects and in a project. These students are inexperienced in the project management field and they play this game on a time-shared manner along with other activities. The goal...
Article
Full-text available
This paper describes the process for optimising the annealing cycle on a hot dip galvanising line based on a combination of the techniques of artificial intelligence and genetic algorithms for creating two types of regression models. The first model can predict the furnace operating temperature for each coil and is trained to learn from the experie...
Conference Paper
Full-text available
The goal of this paper is to show the results of an on-going experience on teaching project management to grade students by following a development scheme of management related competencies on an individual basis. In order to achieve that goal, the students are organized in teams that must solve a problem and manage the development of a feasible so...
Chapter
This paper reports an experience on setting a multi-agent system to control a complex production environment, a steelmaking manufacturing plant. The decentralized character of such a plant fits perfectly with the approach of a control system by means of a multi-agent configuration. The agents devoted to rendering the superficial and internal defect...
Article
A better control of extrusion processes offers clear advantages in the manufacturing of rubber profiles for the automotive industry. This work reports our experience in developing a support system aimed to ease the work of the extruder machinist while improving the quality of the profiles obtained. In order to build the system, an approach based on...
Conference Paper
Full-text available
This work compares supervised and unsupervised techniques to classify images of boar sperm heads according to their membrane integrity. We have used 5 different descriptors to characterize the texture of the acrosomes: Laws method, Legendre moments, Zernike moments and 4 and 13 of the features proposed by Haralick extracted from the co-occurrence m...
Article
This chapter reports five experiences in successfully applying different data mining techniques in a hotdip galvanizing line. Engineers working in steelmaking have traditionally built mathematical models either for their processes or products using classical techniques. Their need to continuously cut costs down while increasing productivity and pro...
Conference Paper
Full-text available
This work presents a method to perform a surface finish control using a computer vision system. Test parts used were made of AISI 303 stainless steel and were machined with a MUPEM CNC multi-turret parallel lathe. Using a Pulnix PE2015 B/W camera, a diffuse illumination and a industrial zoom, 140 images were acquired. We have applied a vertical Pre...
Article
The problem of clustering subpopulations on the basis of samples is considered within a statistical framework: a distribution for the variables is assumed for each subpopulation and the dissimilarity between any two populations is defined as the likelihood ratio statistic which compares the hypothesis that the two subpopulations differ in the param...
Conference Paper
This paper reports the recent experiences gained at applying data mining techniques to projects performance data. The projects considered are those collected by the International Software Benchmarking Standards Group (ISBSG). These are software development projects but the approaches described can be extended to other areas seamlessly although thes...
Article
The widely used criteria to determine the need for tool replacement are too much conservative. The consequence is that tools are only used for a small fraction of their possible useful life. The economical influence of tool replacement costs over total production costs demands better criteria according to current technology. The use of different mo...
Data
Full-text available
The widely used criteria to determine the need for tool replacement are too much conservative. The consequence is that tools are only used for a small fraction of their possible useful life. The economical influence of tool replacement costs over total production costs demands better criteria according to current technology. The use of different mo...
Chapter
The industrial plants, beyond subsisting, pursue to be leaders in increasingly competitive and dynamic markets. In this environment, quality management and technological innovation is less a choice than a must. Quality principles, such as those comprised in ISO 9000 standards, recommend companies to make their decisions with a based on facts approa...
Conference Paper
Full-text available
In the last years computer vision techniques have developed significantly, not with respect to hardware aspects but also to image processing applications. For decades initiatives for application of these techniques in the production facilities were intended, mainly at inspection and control processes. However, only in the last decade this technolog...
Conference Paper
Full-text available
This paper introduces a set of decision rules and a connected methodology designed to aid in the segmentation of the wear region caused in the cutting tool by the machining process. Every image undergoes a previous segmentation process that encompasses diverse techniques. If the cutting tool shows low wear level with this method a segmented region...
Article
A new method based on a computer vision and statistical learning system is proposed to estimate the wear level in cutting inserts in order to identify the time for its replacement. A CNC parallel lathe and a computer vision system have been used to obtain 1383 flank images. A binary image for each of the former wear flank images have been obtained...