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Article ; Online: Solution strategy based on Gaussian mixture models and dispersion reduction for the capacitated centered clustering problem.

PeerJ. Computer science

2021 Volume 7, Page(s) e332

Abstract: The Capacitated Centered Clustering Problem (CCCP)-a multi-facility location model-is very important within the logistics and supply chain management fields due to its impact on industrial transportation and distribution. However, solving the CCCP is a ... ...

Abstract	The Capacitated Centered Clustering Problem (CCCP)-a multi-facility location model-is very important within the logistics and supply chain management fields due to its impact on industrial transportation and distribution. However, solving the CCCP is a challenging task due to its computational complexity. In this work, a strategy based on Gaussian mixture models (GMMs) and dispersion reduction is presented to obtain the most likely locations of facilities for sets of client points considering their distribution patterns. Experiments performed on large CCCP instances, and considering updated best-known solutions, led to estimate the performance of the GMMs approach, termed as Dispersion Reduction GMMs, with a mean error gap smaller than 2.6%. This result is more competitive when compared to Variable Neighborhood Search, Simulated Annealing, Genetic Algorithm and CKMeans and faster to achieve when compared to the best-known solutions obtained by Tabu-Search and Clustering Search.
Language	English
Publishing date	2021-02-03
Publishing country	United States
Document type	Journal Article
ISSN	2376-5992
ISSN (online)	2376-5992
DOI	10.7717/peerj-cs.332
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Innovation as recovery strategy for SMEs in emerging economies during the COVID-19 pandemic.

Caballero-Morales, Santiago-Omar

Research in international business and finance

2021 Volume 57, Page(s) 101396

Abstract: The quarantine and disruption of non-essential activities as measure to contain the COVID-19 pandemic has negatively affected all economies around the World. This has had a deeper impact on small and medium enterprises (SMEs) in emerging economies ... ...

Abstract	The quarantine and disruption of non-essential activities as measure to contain the COVID-19 pandemic has negatively affected all economies around the World. This has had a deeper impact on small and medium enterprises (SMEs) in emerging economies because they have very limited resources and vulnerable supply chain and business-to-business/business-to-clients relationships. In this context, it is expected that after the pandemic many of these enterprises will disappear as the "new normality" will require changes in business and infrastructure management. To reduce this risk, innovation is identified as a key aspect of business recovery in the ongoing and post-COVID-19 pandemic period. This work presents a multidisciplinary methodological approach to guide these enterprises to innovate their products for new markets and making a better use of their limited available resources. As an example of this approach, the research-supported development of a new product for a family-owned SME was performed in a zone with high COVID-19 risk. The results provide insight regarding innovation as a survival tool for SMEs during and after the COVID-19 contingency, and the use of digital resources is identified as the main facilitator for networking and research-based design of innovative products within the "social distance" context.
Language	English
Publishing date	2021-02-04
Publishing country	United States
Document type	Journal Article
ISSN	1878-3384
ISSN (online)	1878-3384
DOI	10.1016/j.ribaf.2021.101396
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Development of a coded suite of models to explore relevant problems in logistics.

Caballero-Morales, Santiago-Omar

PeerJ. Computer science

2020 Volume 6, Page(s) e329

Abstract: Logistics is the aspect of the supply chain which is responsible of the efficient flow and delivery of goods or services from suppliers to customers. Because a logistic system involves specialized operations such as inventory control, facility location ... ...

Abstract	Logistics is the aspect of the supply chain which is responsible of the efficient flow and delivery of goods or services from suppliers to customers. Because a logistic system involves specialized operations such as inventory control, facility location and distribution planning, the logistic professional requires mathematical, technological and managerial skills and tools to design, adapt and improve these operations. The main research is focused on modeling and solving logistic problems through specialized tools such as integer programing and meta-heuristics methods. In practice, the use of these tools for large and complex problems requires mathematical and computational proficiency. In this context, the present work contributes with a coded suite of models to explore relevant problems by the logistic professional, undergraduate/postgraduate student and/or academic researcher. The functions of the coded suite address the following: (1) generation of test instances for routing and facility location problems with real geographical coordinates; (2) computation of Euclidean, Manhattan and geographical arc length distance metrics for routing and facility location problems; (3) simulation of non-deterministic inventory control models; (4) importing/exporting and plotting of input data and solutions for analysis and visualization by third-party platforms; and (5) designing of a nearest-neighbor meta-heuristic to provide very suitable solutions for large vehicle routing and facility location problems. This work is completed by a discussion of a case study which integrates the functions of the coded suite.
Language	English
Publishing date	2020-11-30
Publishing country	United States
Document type	Journal Article
ISSN	2376-5992
ISSN (online)	2376-5992
DOI	10.7717/peerj-cs.329
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Solution strategy based on Gaussian mixture models and dispersion reduction for the capacitated centered clustering problem

Santiago-Omar Caballero-Morales

PeerJ Computer Science, Vol 7, p e

2021 Volume 332

Abstract: The Capacitated Centered Clustering Problem (CCCP)—a multi-facility location model—is very important within the logistics and supply chain management fields due to its impact on industrial transportation and distribution. However, solving the CCCP is a ... ...

Abstract	The Capacitated Centered Clustering Problem (CCCP)—a multi-facility location model—is very important within the logistics and supply chain management fields due to its impact on industrial transportation and distribution. However, solving the CCCP is a challenging task due to its computational complexity. In this work, a strategy based on Gaussian mixture models (GMMs) and dispersion reduction is presented to obtain the most likely locations of facilities for sets of client points considering their distribution patterns. Experiments performed on large CCCP instances, and considering updated best-known solutions, led to estimate the performance of the GMMs approach, termed as Dispersion Reduction GMMs, with a mean error gap smaller than 2.6%. This result is more competitive when compared to Variable Neighborhood Search, Simulated Annealing, Genetic Algorithm and CKMeans and faster to achieve when compared to the best-known solutions obtained by Tabu-Search and Clustering Search.
Keywords	Capacitated centered clustering problem ; Gaussian mixture models ; Dispersion reduction ; Expectation-maximization ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	006
Language	English
Publishing date	2021-02-01T00:00:00Z
Publisher	PeerJ Inc.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Recognition of emotions in Mexican Spanish speech: an approach based on acoustic modelling of emotion-specific vowels.

Caballero-Morales, Santiago-Omar

TheScientificWorldJournal

2013 Volume 2013, Page(s) 162093

Abstract: An approach for the recognition of emotions in speech is presented. The target language is Mexican Spanish, and for this purpose a speech database was created. The approach consists in the phoneme acoustic modelling of emotion-specific vowels. For this, ... ...

Abstract	An approach for the recognition of emotions in speech is presented. The target language is Mexican Spanish, and for this purpose a speech database was created. The approach consists in the phoneme acoustic modelling of emotion-specific vowels. For this, a standard phoneme-based Automatic Speech Recognition (ASR) system was built with Hidden Markov Models (HMMs), where different phoneme HMMs were built for the consonants and emotion-specific vowels associated with four emotional states (anger, happiness, neutral, sadness). Then, estimation of the emotional state from a spoken sentence is performed by counting the number of emotion-specific vowels found in the ASR's output for the sentence. With this approach, accuracy of 87-100% was achieved for the recognition of emotional state of Mexican Spanish speech.
MeSH term(s)	Acoustics ; Emotions ; Humans ; Mexico ; Models, Theoretical ; Spain ; Speech
Language	English
Publishing date	2013-07-10
Publishing country	United States
Document type	Journal Article
ZDB-ID	2075968-X
ISSN	1537-744X ; 1537-744X
ISSN (online)	1537-744X
ISSN	1537-744X
DOI	10.1155/2013/162093
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: On the development of speech resources for the Mixtec language.

Caballero-Morales, Santiago-Omar

TheScientificWorldJournal

2013 Volume 2013, Page(s) 170649

Abstract: The Mixtec language is one of the main native languages in Mexico. In general, due to urbanization, discrimination, and limited attempts to promote the culture, the native languages are disappearing. Most of the information available about the Mixtec ... ...

Abstract	The Mixtec language is one of the main native languages in Mexico. In general, due to urbanization, discrimination, and limited attempts to promote the culture, the native languages are disappearing. Most of the information available about the Mixtec language is in written form as in dictionaries which, although including examples about how to pronounce the Mixtec words, are not as reliable as listening to the correct pronunciation from a native speaker. Formal acoustic resources, as speech corpora, are almost non-existent for the Mixtec, and no speech technologies are known to have been developed for it. This paper presents the development of the following resources for the Mixtec language: (1) a speech database of traditional narratives of the Mixtec culture spoken by a native speaker (labelled at the phonetic and orthographic levels by means of spectral analysis) and (2) a native speaker-adaptive automatic speech recognition (ASR) system (trained with the speech database) integrated with a Mixtec-to-Spanish/Spanish-to-Mixtec text translator. The speech database, although small and limited to a single variant, was reliable enough to build the multiuser speech application which presented a mean recognition/translation performance up to 94.36% in experiments with non-native speakers (the target users).
MeSH term(s)	Dictionaries as Topic ; Language ; Mexico ; Narration ; Natural Language Processing ; Speech Recognition Software ; Translating
Language	English
Publishing date	2013-04-16
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2075968-X
ISSN	1537-744X ; 1537-744X
ISSN (online)	1537-744X
ISSN	1537-744X
DOI	10.1155/2013/170649
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Estimation of phoneme-specific HMM topologies for the automatic recognition of dysarthric speech.

Caballero-Morales, Santiago-Omar

Computational and mathematical methods in medicine

2013 Volume 2013, Page(s) 297860

Abstract: Dysarthria is a frequently occurring motor speech disorder which can be caused by neurological trauma, cerebral palsy, or degenerative neurological diseases. Because dysarthria affects phonation, articulation, and prosody, spoken communication of ... ...

Abstract	Dysarthria is a frequently occurring motor speech disorder which can be caused by neurological trauma, cerebral palsy, or degenerative neurological diseases. Because dysarthria affects phonation, articulation, and prosody, spoken communication of dysarthric speakers gets seriously restricted, affecting their quality of life and confidence. Assistive technology has led to the development of speech applications to improve the spoken communication of dysarthric speakers. In this field, this paper presents an approach to improve the accuracy of HMM-based speech recognition systems. Because phonatory dysfunction is a main characteristic of dysarthric speech, the phonemes of a dysarthric speaker are affected at different levels. Thus, the approach consists in finding the most suitable type of HMM topology (Bakis, Ergodic) for each phoneme in the speaker's phonetic repertoire. The topology is further refined with a suitable number of states and Gaussian mixture components for acoustic modelling. This represents a difference when compared with studies where a single topology is assumed for all phonemes. Finding the suitable parameters (topology and mixtures components) is performed with a Genetic Algorithm (GA). Experiments with a well-known dysarthric speech database showed statistically significant improvements of the proposed approach when compared with the single topology approach, even for speakers with severe dysarthria.
MeSH term(s)	Algorithms ; Communication Aids for Disabled ; Dysarthria/physiopathology ; Dysarthria/rehabilitation ; Humans ; Markov Chains ; Neural Networks, Computer ; Speech Acoustics ; Speech Recognition Software
Language	English
Publishing date	2013-10-08
Publishing country	United States
Document type	Journal Article
ZDB-ID	2252430-7
ISSN	1748-6718 ; 1748-670X ; 1027-3662
ISSN (online)	1748-6718
ISSN	1748-670X ; 1027-3662
DOI	10.1155/2013/297860
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Design and Development of a I4.0 Engineering Education Laboratory with Virtual and Digital Technologies Based on ISO/IEC TR 23842-1 Standard Guidelines

José-de-Jesús Cordero-Guridi / Luis Cuautle-Gutiérrez / Ricardo-Iván Alvarez-Tamayo / Santiago-Omar Caballero-Morales

Applied Sciences, Vol 12, Iss 5993, p

2022 Volume 5993

Abstract: Knowledge transfer associated with education in the automotive manufacturing and production fields is challenging due to the requirements of physical prototyping of mechanical components and laboratory-assisted testing. In this regard, aspects of ... ...

Abstract	Knowledge transfer associated with education in the automotive manufacturing and production fields is challenging due to the requirements of physical prototyping of mechanical components and laboratory-assisted testing. In this regard, aspects of Industry 4.0 such as virtual environments and enhanced human–computer interaction have been studied as important resources to improve teaching practices and achieve the equivalent Education 4.0 paradigm. Within the context of modern manufacturing techniques in the Industry 4.0 era and advanced tools for analysis and mechanical design, the present work describes the development of a virtual/augmented reality (VR/AR) laboratory to support learning, training, and collaborative ventures related to additive manufacturing for the automotive industry. The development was performed in accordance with the guidelines of the ISO/IEC TR 23842-1 standard, to ensure that the academic programs and the conditions of use of the laboratory were optimal. Experiences with students through the development of industry-related automotive projects support confidence in the suitability of the laboratory and the expectation of positive outcomes for future developments.
Keywords	virtual reality laboratory ; automotive industry ; Education 4.0 ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Language	English
Publishing date	2022-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: On the Use of the Humanoid Bioloid System for Robot-Assisted Transcription of Mexican Spanish Speech

Santiago-Omar Caballero-Morales

Applied Sciences, Vol 6, Iss 1, p

2015 Volume 1

Abstract: Within the context of service robotics (SR), the development of assistive technologies has become an important research field. However, the accomplishment of assistive tasks requires precise and fine control of the mechanic systems that integrate the ... ...

Abstract	Within the context of service robotics (SR), the development of assistive technologies has become an important research field. However, the accomplishment of assistive tasks requires precise and fine control of the mechanic systems that integrate the robotic entity. Among the most challenging tasks in robot control, the handwriting task (transcription) is of particular interest due to the fine control required to draw single and multiple alphabet characters to express words and sentences. For language learning activities, robot-assisted speech transcription can motivate the student to practice pronunciation and writing tasks in a dynamic environment. Hence, this paper is aimed to provide the techniques and models to accomplish accurate robot-assisted transcription of Spanish speech. The transcriptor is integrated by a multi-user speech recognizer for continuous speech and the kinematic models for the Mexican Spanish alphabet characters. The Bioloid system with the standard humanoid configuration and no special modifications or tools was considered for implementation. Particularly, the proposed transcriptor could perform the handwriting task with the Bioloid’s two two DOF (degrees-of-freedom) arms. This enabled writing of one-line short and long sentences with small alphabet characters (width <1.0 cm). It is expected that the technique and models that integrate the transcriptor can provide support for the development of robot-assisted language learning activities for children and young adults.
Keywords	service robotics ; robot-assisted transcription ; Bioloid robot ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	629
Language	English
Publishing date	2015-12-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Building Cost Function 3D Benchmarks to Improve the Economic Statistical Design of Control Charts

Santiago-Omar Caballero-Morales

Mathematical Problems in Engineering, Vol

2014 Volume 2014

Keywords	Mathematics ; QA1-939 ; Science ; Q ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Technology ; T
Language	English
Publishing date	2014-01-01T00:00:00Z
Publisher	Hindawi Publishing Corporation
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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