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Dr. Carlos Montenegro
Engineering Faculty, Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

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Article
Published: 04 August 2021 in Education and Information Technologies
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Nowadays, information and communication technologies (ICTs) and virtual training have increased the use of educational resources. This growth use has highlighted educational resource reuse and availability problems. Resource descriptions adapted to particular needs and the lack of metadata enrichment taking advantage of the benefits provided by the Semantic Web are some examples of these problems. The purpose of this paper is to expose an enhanced and interoperable set of metadata elements for describing OER (Open Educational Resources), which takes full advantage of the Openness and data enrichment. In this research, requirements such as data quality dimensions, Linked Data, and mapping into RDF (Resource Description Framework) Graph, have been taken into account to provide well‐described, available, reusable and enriched OER, in addition, to display them as Linked Data. These features contribute to the educational field strengthen the processes of Opening, Availability, Reuse, and Linking OER. In a nutshell, these features are necessary to facilitate innovative educational settings. Finally, this improved OER description can be extrapolated to other countries, serving as a potential Opening and reuse guidelines to publish OER on both applications and LOD (Linked Open Data) Cloud.

ACS Style

Jhon Francined Herrera-Cubides; Paulo Alonso Gaona-García; Carlos Enrique Montenegro-Marín; Salvador Sánchez-Alonso. Improving OER descriptions to enhance their availability, reuse, and enrichment. Education and Information Technologies 2021, 1 -29.

AMA Style

Jhon Francined Herrera-Cubides, Paulo Alonso Gaona-García, Carlos Enrique Montenegro-Marín, Salvador Sánchez-Alonso. Improving OER descriptions to enhance their availability, reuse, and enrichment. Education and Information Technologies. 2021; ():1-29.

Chicago/Turabian Style

Jhon Francined Herrera-Cubides; Paulo Alonso Gaona-García; Carlos Enrique Montenegro-Marín; Salvador Sánchez-Alonso. 2021. "Improving OER descriptions to enhance their availability, reuse, and enrichment." Education and Information Technologies , no. : 1-29.

Correction
Published: 07 May 2021 in Soft Computing
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ACS Style

Oscar Esneider Acosta Agudelo; Carlos Enrique Montenegro Marín; Rubén González Crespo. Correction to: Sound measurement and automatic vehicle classification and counting applied to road traffic noise characterization. Soft Computing 2021, 25, 12089 -12089.

AMA Style

Oscar Esneider Acosta Agudelo, Carlos Enrique Montenegro Marín, Rubén González Crespo. Correction to: Sound measurement and automatic vehicle classification and counting applied to road traffic noise characterization. Soft Computing. 2021; 25 (18):12089-12089.

Chicago/Turabian Style

Oscar Esneider Acosta Agudelo; Carlos Enrique Montenegro Marín; Rubén González Crespo. 2021. "Correction to: Sound measurement and automatic vehicle classification and counting applied to road traffic noise characterization." Soft Computing 25, no. 18: 12089-12089.

Focus
Published: 05 April 2021 in Soft Computing
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Increase in population density in large cities has increased the environmental noise present in these environments, causing negative effects on human health. There are different sources of environmental noise; however, noise from road traffic is the most prevalent in cities. Therefore, it is necessary to have tools that allow noise characterization to establish strategies that permit obtaining levels that do not affect the quality of life of people. This research discusses the implementation of a system that allows the acquisition of data to characterize the noise generated by road traffic. First, the methodology for obtaining acoustic indicators with an electret measurement microphone is described, so that it adjusts to the data collection needs for road traffic noise analyses. Then, an approach for the classification and counting of automatic vehicular traffic through deep learning is presented. Results showed that there were differences of 0.2 dBA in terms of RMSE between a type 1 sound level meter and the measurement microphone used. With reference to vehicle classification and counting for four categories, the approximate error is between 3.3% and -15.5%.

ACS Style

Oscar Esneider Acosta Agudelo; Carlos Enrique Montenegro Marín; Rubén González Crespo. Sound measurement and automatic vehicle classification and counting applied to road traffic noise characterization. Soft Computing 2021, 25, 12075 -12087.

AMA Style

Oscar Esneider Acosta Agudelo, Carlos Enrique Montenegro Marín, Rubén González Crespo. Sound measurement and automatic vehicle classification and counting applied to road traffic noise characterization. Soft Computing. 2021; 25 (18):12075-12087.

Chicago/Turabian Style

Oscar Esneider Acosta Agudelo; Carlos Enrique Montenegro Marín; Rubén González Crespo. 2021. "Sound measurement and automatic vehicle classification and counting applied to road traffic noise characterization." Soft Computing 25, no. 18: 12075-12087.

Journal article
Published: 26 March 2021 in Journal of Theoretical and Applied Electronic Commerce Research
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Aim: This paper aims to analyze, prepare, and review the general guidelines and rules that govern the development of key factors influencing the enhancement of emotionally supportive networks and selection models using fuzzy logic theory. The researchers have identified eight important components of the information society (IS), representing the computerized economy’s growth to explain a realistic framework for medium-term gauges and proposals. Materials and methods: A discrete-nonstop opportunity paradigm portrays the creation of the general framework, in which the mutual effects of each of the components are spoken to models within the state-space. The software’s mechanical quality offers improvement displayed along these lines that may indicate future interest to programing suppliers. The researchers have given supposed to the developments and interests of information technology (IT) professionals in R&D to provide insightful foundations. For example, this study will demonstrate the development of emotionally supportive networks and recommendations of choices for 3D-web-based businesses and their impact on mechanical advancement, examples of use and social behavior. Results: During an IS/IT foreknowledge undertaking completed in Poland in 2019 and sponsored by the Education Research and Development Foundation ERDF, the results were obtained.

ACS Style

Ke Zong; Yuan Yuan; Carlos Montenegro-Marin; Seifedine Kadry. Or-Based Intelligent Decision Support System for E-Commerce. Journal of Theoretical and Applied Electronic Commerce Research 2021, 16, 1150 -1164.

AMA Style

Ke Zong, Yuan Yuan, Carlos Montenegro-Marin, Seifedine Kadry. Or-Based Intelligent Decision Support System for E-Commerce. Journal of Theoretical and Applied Electronic Commerce Research. 2021; 16 (4):1150-1164.

Chicago/Turabian Style

Ke Zong; Yuan Yuan; Carlos Montenegro-Marin; Seifedine Kadry. 2021. "Or-Based Intelligent Decision Support System for E-Commerce." Journal of Theoretical and Applied Electronic Commerce Research 16, no. 4: 1150-1164.

Original research
Published: 15 March 2021 in Journal of Ambient Intelligence and Humanized Computing
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In recent days, many information and image evidence in the field of medicine is being designed and developed by the advancement of computer technology. Presently, sport medical data is an essential department for medical sector and it is responsible for assuring sports safety based on the recovery level after an injury due to sports activity. The approach to reliably interpretation and valuable data information using a vast number of medical sports data and events has become an important research path in the collection and analysis of medical data. This paper discusses the extraction, study, and lack of training and accuracy of complex algorithms for critical sporting medical data. This paper involves with an optimized convolutional neural network (OCNN) based on deep-learning model to ensure successful detection and risk assessments of sport-medicine diseases and adopts the Self-Adjustment Resizing algorithm (SAR) augmented by the self-coding method of the convolution (SCM). CNN model helps to evaluate sports medicine in multi-dimensional results and suggested OCNN classification constitutes two convolutional layers, two pool layers, a fully connected layer, and a SoftMax structure that can be used for the classification of sport-related medical data. The CNN facilitates multi-dimensional sports medicine data analysis and to conclude a cloud-based loop model to create an advanced medical data network for sports medicine. Experiments illustrate that this approach offers technical support and guide to deploying a specific cloud-based fusion system.

ACS Style

Hesheng Song; Xiu-Ying Han; Carlos Enrique Montenegro-Marin; Sujatha Krishnamoorthy. Secure prediction and assessment of sports injuries using deep learning based convolutional neural network. Journal of Ambient Intelligence and Humanized Computing 2021, 12, 3399 -3410.

AMA Style

Hesheng Song, Xiu-Ying Han, Carlos Enrique Montenegro-Marin, Sujatha Krishnamoorthy. Secure prediction and assessment of sports injuries using deep learning based convolutional neural network. Journal of Ambient Intelligence and Humanized Computing. 2021; 12 (3):3399-3410.

Chicago/Turabian Style

Hesheng Song; Xiu-Ying Han; Carlos Enrique Montenegro-Marin; Sujatha Krishnamoorthy. 2021. "Secure prediction and assessment of sports injuries using deep learning based convolutional neural network." Journal of Ambient Intelligence and Humanized Computing 12, no. 3: 3399-3410.

Journal article
Published: 04 March 2021 in Acta Agriculturae Scandinavica, Section B — Soil & Plant Science
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The Pacific Alliance is an economic and development initiative where four Latin American nations: Chile, Colombia, Mexico, and Peru, seek the growth in the economics of the four nations. It is in this way that agriculture plays an important role in this union since it is one of the greatest sources of income in each nation. However, the internal conflict that afflicts each country generates stagnation in economic growth, affecting its exports. Forced displacement is one of the main consequences of the internal conflict within the countries that make up the Pacific Alliance. Therefore, a model of Population Dynamics System P (PDP System) is proposed, viewing this phenomenon as a classic predator-prey model, where one ‘predator’ resources that in this case are the territories, and in this struggle one species predominates over the other. The simulations showed how the populations are being affected and how the analogy between the social conflict described above and the Lokta-Volterra model can be modelled with a topic that has always been considered to be social. Although much more complex scenarios can be simulated by adding other variables, this study is an approach that yields important results that can be considered in other studies

ACS Style

María Camila Guerrero-Giraldo; Miguel Angel Vega-Alonso; Paulo Alonso Gaona-García; Carlos Enrique Montenegro-Marin. Model based on PDP System to simulate the forced displacement phenomenon in the Pacific Alliance. Acta Agriculturae Scandinavica, Section B — Soil & Plant Science 2021, 1 -14.

AMA Style

María Camila Guerrero-Giraldo, Miguel Angel Vega-Alonso, Paulo Alonso Gaona-García, Carlos Enrique Montenegro-Marin. Model based on PDP System to simulate the forced displacement phenomenon in the Pacific Alliance. Acta Agriculturae Scandinavica, Section B — Soil & Plant Science. 2021; ():1-14.

Chicago/Turabian Style

María Camila Guerrero-Giraldo; Miguel Angel Vega-Alonso; Paulo Alonso Gaona-García; Carlos Enrique Montenegro-Marin. 2021. "Model based on PDP System to simulate the forced displacement phenomenon in the Pacific Alliance." Acta Agriculturae Scandinavica, Section B — Soil & Plant Science , no. : 1-14.

Original article
Published: 04 February 2021 in Information Systems and e-Business Management
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At present, the efficiency of electronic technology is minimized the improper funding system which decreases the growth of information technology. Hence, in this research, an optimized financial model has been designed and developed step by step based on an e-commerce assisted framework of operational research (ECFOR). The use of the e-commerce platform has been integrated throughout life and a discussion has been conducted on the structure of the Operational Research-based advanced financing model. This model helps to examine the key parts involved in the funding process and improves the conventional advance payment in contrast with this modern funding model. The congenital superiority of this kind of funding system helps to improve the current financial model through operational research. Finally, it has concluded that the e-commerce-based prepaid financing model helps to reduce the risk of related parties and it has been used to improve the efficiency of financing.

ACS Style

Yang Zhao; Yanliang Yu; P. Mohamed Shakeel; Carlos Enrique Montenegro-Marin. Research on operational research-based financial model based on e-commerce platform. Information Systems and e-Business Management 2021, 1 -17.

AMA Style

Yang Zhao, Yanliang Yu, P. Mohamed Shakeel, Carlos Enrique Montenegro-Marin. Research on operational research-based financial model based on e-commerce platform. Information Systems and e-Business Management. 2021; ():1-17.

Chicago/Turabian Style

Yang Zhao; Yanliang Yu; P. Mohamed Shakeel; Carlos Enrique Montenegro-Marin. 2021. "Research on operational research-based financial model based on e-commerce platform." Information Systems and e-Business Management , no. : 1-17.

Research article
Published: 10 November 2020 in Acta Agriculturae Scandinavica, Section B — Soil & Plant Science
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In recent years an effort has been made to improve supply chain management (SCM) and traceability control in different industrial sectors, for example, in agriculture one of the main concerns is about to know where is the product in particular moment and where it will be next. Problem here is, as many other systems, the centralisation of information and trust problems derived from human interaction with transactions in the system. Based on this context of lack of trust, we propose the design and development of a platform using a database based on Blockchain technologies, the platform’s main effort is to propose a solution for agriculture SCM and control over internet taking as study case Colombian agriculture negotiation process.

ACS Style

Kevin Gordillo Orjuela; Paulo Alonso Gaona-García; Carlos Enrique Montenegro Marin. Towards an agriculture solution for product supply chain using blockchain: case study Agro-chain with BigchainDB. Acta Agriculturae Scandinavica, Section B — Soil & Plant Science 2020, 71, 1 -16.

AMA Style

Kevin Gordillo Orjuela, Paulo Alonso Gaona-García, Carlos Enrique Montenegro Marin. Towards an agriculture solution for product supply chain using blockchain: case study Agro-chain with BigchainDB. Acta Agriculturae Scandinavica, Section B — Soil & Plant Science. 2020; 71 (1):1-16.

Chicago/Turabian Style

Kevin Gordillo Orjuela; Paulo Alonso Gaona-García; Carlos Enrique Montenegro Marin. 2020. "Towards an agriculture solution for product supply chain using blockchain: case study Agro-chain with BigchainDB." Acta Agriculturae Scandinavica, Section B — Soil & Plant Science 71, no. 1: 1-16.

Call for paper
Published: 11 August 2020 in Expert Systems
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ACS Style

Carlos Enrique Montenegro Marin; Paulo Alonso Gaona Garcia; Edward Rolando Nuñez Valdez. Special issue on “Advances in Robotics for Healthcare”. Expert Systems 2020, 1 .

AMA Style

Carlos Enrique Montenegro Marin, Paulo Alonso Gaona Garcia, Edward Rolando Nuñez Valdez. Special issue on “Advances in Robotics for Healthcare”. Expert Systems. 2020; ():1.

Chicago/Turabian Style

Carlos Enrique Montenegro Marin; Paulo Alonso Gaona Garcia; Edward Rolando Nuñez Valdez. 2020. "Special issue on “Advances in Robotics for Healthcare”." Expert Systems , no. : 1.

Original research
Published: 31 July 2020 in Journal of Ambient Intelligence and Humanized Computing
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A sedentary routine at work can cause various muscular, skeletal or visual diseases, however these can be prevented with what is known as active pauses. This article is intended to illustrate how software can help reduce the risk of occupational disease due to the sedentary lifestyle of an office job, for this purpose a web application was developed under the SCRUM methodology, which makes use of the TensorFlow, Flask PoseNet model and python, for an active pause control application which is a proven practice of reducing the type of diseases already mentioned. With these tools it was possible to develop an algorithm capable of comparing two human figures; which serves to compare whether the user of the program is performing or not correctly performing the active pause exercise, with an average error squared on the order of 10−32. Finally, The application can keep track of the figure and exercises performed by the user just by using the user personal webcam and the comparison algorithm developed, leaving behind the use of tools such as Kinect.

ACS Style

Fabian Herrera; Rodrigo Niño; Carlos Enrique Montenegro-Marín; Paulo Alonso Gaona-García; Iñigo Sarría Martínez de Mendívil; Rubén González Crespo. Computational method for monitoring pauses exercises in office workers through a vision model. Journal of Ambient Intelligence and Humanized Computing 2020, 12, 3389 -3397.

AMA Style

Fabian Herrera, Rodrigo Niño, Carlos Enrique Montenegro-Marín, Paulo Alonso Gaona-García, Iñigo Sarría Martínez de Mendívil, Rubén González Crespo. Computational method for monitoring pauses exercises in office workers through a vision model. Journal of Ambient Intelligence and Humanized Computing. 2020; 12 (3):3389-3397.

Chicago/Turabian Style

Fabian Herrera; Rodrigo Niño; Carlos Enrique Montenegro-Marín; Paulo Alonso Gaona-García; Iñigo Sarría Martínez de Mendívil; Rubén González Crespo. 2020. "Computational method for monitoring pauses exercises in office workers through a vision model." Journal of Ambient Intelligence and Humanized Computing 12, no. 3: 3389-3397.

Journal article
Published: 29 July 2020 in IEEE Transactions on Industrial Informatics
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Internet of Things (IoT) has gained a significant importance due to its flexibility in integrating communication technologies and smart devices for ease of service provisioning. IoT services rely on heterogeneous cloud network for serving user demands ubiquitously. Service data management is a complex task in this heterogeneous environment due to random access and service compositions. In this manuscript, a machine learning aided information management scheme is proposed for handling data to ensure uninterrupted user request service. The neural learning process gains control over service attributes and data response to abruptly assign resource to the incoming requests in the data plane. The learning process operates in the data plane where requests and responses for service are instantaneous. This facilitates smoothing of learning process to decide upon the possible resources and more precise service delivery without duplication.

ACS Style

Gunasekaran Manogaran; Mamoun Alazab; Vijayalakshmi Saravanan; Bharat S. Rawal; P. Mohamed Shakeel; Revathi Sundarasekar; Senthil Murugan Nagarajan; Seifedine Nimer Kadry; Carlos Enrique Montenegro-Marin. Machine Learning Assisted Information Management Scheme in Service Concentrated IoT. IEEE Transactions on Industrial Informatics 2020, 17, 2871 -2879.

AMA Style

Gunasekaran Manogaran, Mamoun Alazab, Vijayalakshmi Saravanan, Bharat S. Rawal, P. Mohamed Shakeel, Revathi Sundarasekar, Senthil Murugan Nagarajan, Seifedine Nimer Kadry, Carlos Enrique Montenegro-Marin. Machine Learning Assisted Information Management Scheme in Service Concentrated IoT. IEEE Transactions on Industrial Informatics. 2020; 17 (4):2871-2879.

Chicago/Turabian Style

Gunasekaran Manogaran; Mamoun Alazab; Vijayalakshmi Saravanan; Bharat S. Rawal; P. Mohamed Shakeel; Revathi Sundarasekar; Senthil Murugan Nagarajan; Seifedine Nimer Kadry; Carlos Enrique Montenegro-Marin. 2020. "Machine Learning Assisted Information Management Scheme in Service Concentrated IoT." IEEE Transactions on Industrial Informatics 17, no. 4: 2871-2879.

Journal article
Published: 11 July 2020 in Computer Communications
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Sixth generation (6G) communication environment is unfolded in the recent years in order to provide high throughput less latency services for the mobile users. This environment encloses a variety of heterogeneous resources and communication standards to ensure seamless availability of services. In this open environment, security is a concerning issue due to heterogeneous standard integration and access delegations. This paper introduces blockchain-based integrated security measure (BISM) for providing secure access control and privacy preserving for the resources and the users. The access control process relies on the states of the virtualized resources at different time instances and the privacy preserving relies on longevity of service responses. The access delegation and denial is decided by the changeover of the states of the resources as aided by the Q-learning procedure for improving the service related performance. This performance for access control and privacy is verified using the metrics true positives, access denial and success ratio, access time and modification, memory utilization and time complexity.

ACS Style

Gunasekaran Manogaran; Bharat S. Rawal; Vijayalakshmi Saravanan; Priyan Malarvizhi Kumar; Oscar Sanjuán Martínez; Rubén González Crespo; Carlos Enrique Montenegro-Marin; Sujatha Krishnamoorthy. Blockchain based integrated security measure for reliable service delegation in 6G communication environment. Computer Communications 2020, 161, 248 -256.

AMA Style

Gunasekaran Manogaran, Bharat S. Rawal, Vijayalakshmi Saravanan, Priyan Malarvizhi Kumar, Oscar Sanjuán Martínez, Rubén González Crespo, Carlos Enrique Montenegro-Marin, Sujatha Krishnamoorthy. Blockchain based integrated security measure for reliable service delegation in 6G communication environment. Computer Communications. 2020; 161 ():248-256.

Chicago/Turabian Style

Gunasekaran Manogaran; Bharat S. Rawal; Vijayalakshmi Saravanan; Priyan Malarvizhi Kumar; Oscar Sanjuán Martínez; Rubén González Crespo; Carlos Enrique Montenegro-Marin; Sujatha Krishnamoorthy. 2020. "Blockchain based integrated security measure for reliable service delegation in 6G communication environment." Computer Communications 161, no. : 248-256.

Article
Published: 24 June 2020 in Current Psychology
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Increased issues in the health of urban migrant children induced by mental stress have attracted worldwide attention. The stable growth of migrant children, which affects the sustainable stability of the community, is adversely impacted by sustained pressures without adequate assistance and advice. Therefore, psychological stress from each post on microblog has been established through research focused on detecting migrant children. Nevertheless, after stressful times, it is more important to consider stress from aspect to recognize stressful periods and stressful incidents that cause each stressful period. This paper identifies the problem of the recognition of migrant children in the open social network microblog stressful periods and stressor events. Besides, the improved Poisson-dependent probability model has been developed and focused on the study of the postings of migrant children during stressful activities in schools to compare stressors with a set of postings on Tencent Weibo (microblog). Through this model the average stressed times of migrant children which obtains more information regarding potential stressors affecting stressed periods.

ACS Style

Fang Ji; Ching-Hsien Hsu; Carlos Enrique Montenegro-Marin. Evaluating and recognizing stressful periods and events of urban migrant children from microblog. Current Psychology 2020, 1 -9.

AMA Style

Fang Ji, Ching-Hsien Hsu, Carlos Enrique Montenegro-Marin. Evaluating and recognizing stressful periods and events of urban migrant children from microblog. Current Psychology. 2020; ():1-9.

Chicago/Turabian Style

Fang Ji; Ching-Hsien Hsu; Carlos Enrique Montenegro-Marin. 2020. "Evaluating and recognizing stressful periods and events of urban migrant children from microblog." Current Psychology , no. : 1-9.

Article
Published: 14 June 2020 in Current Psychology
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Wearable sensors devices play an important role in healthcare applications. Further, The Body Sensor Network is a monitoring system extended to a health care context based on IoT technologies, composed of connected or implantable sensors. Medical therapy and general fitness are important elements of public health services. Therefore this paper suggested that Wearable electromagnetic measurement systems help the clinicians in physical therapy track and assess important recovery criteria and performance indicators. The swimming mechanism is easily captured by the movement of truck and limb action. Hence this approach concentrates on Cloud Assisted Recurrent Neural Network (CA-RNN) with multi-target optimization technique is mainly used to control the swimming movement and to balance the synapse weight between motor neuron. RNN is used for balancing the swimming motion and to control the weight transmission between the sensor and motor neurons. Cloud assisted frameworks can offer additional value to the safety, education, and quality of life due to the wide adoption of wearable sensor technology-based applications.

ACS Style

Hongyan Zhou; Carlos Enrique Montenegro-Marin; Ching-Hsien Hsu. RETRACTED ARTICLE: Wearable IoT based cloud assisted framework for swimming persons in health monitoring system. Current Psychology 2020, 1 -10.

AMA Style

Hongyan Zhou, Carlos Enrique Montenegro-Marin, Ching-Hsien Hsu. RETRACTED ARTICLE: Wearable IoT based cloud assisted framework for swimming persons in health monitoring system. Current Psychology. 2020; ():1-10.

Chicago/Turabian Style

Hongyan Zhou; Carlos Enrique Montenegro-Marin; Ching-Hsien Hsu. 2020. "RETRACTED ARTICLE: Wearable IoT based cloud assisted framework for swimming persons in health monitoring system." Current Psychology , no. : 1-10.

Chapter
Published: 09 May 2020 in A Theory of Creative Thinking
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Online education is an educational proposal which tries to facilitate access to knowledge through the web. However, although it is an objective proposal, there are multiple problems to find interactive learning objects such as simulations, which can be easily located and used without restrictions. Currently, the majority of simulations are simple executable objects stored in various repositories of the Web which do not have adequate descriptions that provide them with semantics and allow the creation of relationships or references among them, which makes it difficult to find them and access their content. For the simulations to be visible on the web, this research exposes the use of the semantic web through the creation, design, and use of an ontological model which represents the necessary description for these types of objects, based on specifications and learning object standards, to facilitate access to these resources, create relationships among them, and allow interconnection with other data.

ACS Style

Jonathan Enrique Cuspoca Ruiz; Julio Baron Velandia; Jhon Francined Herrera-Cubides; Paulo Alonso Gaona-García; Carlos Enrique Montenegro-Marín. Ontological Model to Represent Interactive Simulation Objects. A Theory of Creative Thinking 2020, 131 -156.

AMA Style

Jonathan Enrique Cuspoca Ruiz, Julio Baron Velandia, Jhon Francined Herrera-Cubides, Paulo Alonso Gaona-García, Carlos Enrique Montenegro-Marín. Ontological Model to Represent Interactive Simulation Objects. A Theory of Creative Thinking. 2020; ():131-156.

Chicago/Turabian Style

Jonathan Enrique Cuspoca Ruiz; Julio Baron Velandia; Jhon Francined Herrera-Cubides; Paulo Alonso Gaona-García; Carlos Enrique Montenegro-Marín. 2020. "Ontological Model to Represent Interactive Simulation Objects." A Theory of Creative Thinking , no. : 131-156.

Articulos
Published: 01 April 2020 in Información tecnológica
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Se presenta el diseño de un modelo ontológico para mejorar la accesibilidad a la web de personas no videntes, mediante la implementación de la norma W3C (World Wide Web Consortium) y la Norma Técnica Colombiana NTC 5854. El modelo ontológico se desarrolló utilizando herramientas semánticas web y nuevas tecnologías de diseño web, que están conformadas por cuatro componentes principales: (1) la creación de un esquema de datos representativos, (2) la integración de la herramienta de desarrollo y ontología, (3) la visualización de cada uno de los elementos web etiquetados y la visualización de metadatos semánticos, y (4) validación y proceso de traducción/compilación. Los resultados permitieron identificar aspectos funcionales que facilitaron la generación de un esquema de desarrollo para crear un sitio web accesible para personas no videntes. Se presentan recomendaciones a diseñadores y programadores web para proporcionar estrategias en la creación de productos accesibles para personas no videntes.

ACS Style

Julián A. Gil; Paulo A. Gaona-García; Carlos E. Montenegro-Marin; Adriana C. Gómez-Acosta. Modelo ontológico de navegación en la red para personas con discapacidad visual. Información tecnológica 2020, 31, 31 -46.

AMA Style

Julián A. Gil, Paulo A. Gaona-García, Carlos E. Montenegro-Marin, Adriana C. Gómez-Acosta. Modelo ontológico de navegación en la red para personas con discapacidad visual. Información tecnológica. 2020; 31 (2):31-46.

Chicago/Turabian Style

Julián A. Gil; Paulo A. Gaona-García; Carlos E. Montenegro-Marin; Adriana C. Gómez-Acosta. 2020. "Modelo ontológico de navegación en la red para personas con discapacidad visual." Información tecnológica 31, no. 2: 31-46.

Original research
Published: 17 March 2020 in Journal of Ambient Intelligence and Humanized Computing
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Identifying emotions experienced by students in a learning environment contributes to measuring the impact when technologies such as augmented reality (AR) are implemented in the educational field. The most frequent methods for collecting emotional metrics are questionnaires, surveys, and observations, but each of these processes lacks objectivity and veracity. For this reason, this study proposes, develops and tests a learning analytics scheme, based on the density-based spatial clustering of applications with noise algorithm, as a clustering technique with time series analysis, using the brain- computer interface device, Emotiv EPOC, as a way to collect emotional metrics. The above, in order to perform emotional behavior characterization by using AR in a learning environment through AR-Sandbox. The proposed method shows a clear inclination in the tendency of each emotion in each cluster, allowing classification of children during their interaction with the immersive environment, as well as the ability to distinguish each group of students.

ACS Style

Andrés Ovidio Restrepo Rodríguez; Maddyzeth Ariza Riaño; Paulo Alonso Gaona García; Carlos Enrique Montenegro Marín; Rubén González Crespo; Xing Wu. Emotional characterization of children through a learning environment using learning analytics and AR-Sandbox. Journal of Ambient Intelligence and Humanized Computing 2020, 11, 5353 -5367.

AMA Style

Andrés Ovidio Restrepo Rodríguez, Maddyzeth Ariza Riaño, Paulo Alonso Gaona García, Carlos Enrique Montenegro Marín, Rubén González Crespo, Xing Wu. Emotional characterization of children through a learning environment using learning analytics and AR-Sandbox. Journal of Ambient Intelligence and Humanized Computing. 2020; 11 (11):5353-5367.

Chicago/Turabian Style

Andrés Ovidio Restrepo Rodríguez; Maddyzeth Ariza Riaño; Paulo Alonso Gaona García; Carlos Enrique Montenegro Marín; Rubén González Crespo; Xing Wu. 2020. "Emotional characterization of children through a learning environment using learning analytics and AR-Sandbox." Journal of Ambient Intelligence and Humanized Computing 11, no. 11: 5353-5367.

Journal article
Published: 21 February 2020 in International Journal of Medical Informatics
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Early detection of cardiovascular disease could make a difference in terms of treatment success. For that reason, it is important to test the reliability of tools used to deliver diagnoses and to measure the impact of external factors such as stressful situations on alterations in the data collected. Students are an interesting cohort for investigating the effects of stressful situations, as they have a variable number of stress-causing situations in their daily activity over a short period of time. This investigation used 50 students, each of whom underwent two 21 -h tests involving the measurement of heart rate in beats per minute while they were carrying out their normal daily activities with their own tools. In this case study, we measured the impact of stressful situations with a tool for the self-diagnosis of cardiovascular diseases, using data from students on holiday and during their final exams. We asked the students to select two days on which to use the device and perform the test. The requirements for the days were given to them as follows: for the first test, the students were required to select a day off when their main activity was rest; for the second test, the students were required to select a day in their final exams week that they expected to be the hardest day with the most stressful situations. This paper describes a case study in which we measured the impact of stressful situations with the students’ own tools for the self-diagnosis of cardiovascular diseases, using data from students on holiday and during their final exams week. These two datasets, as well as the results of the diagnosis, were compared. The analysis of the data showed that if the students were healthy, some cardiovascular conditions could change, and some tendencies could be found in the data, unrelated to stress. The addition of stressful situations does not have a direct impact on the diagnosis. Thus, we can assume that analysing the data with this methodology and technology will give us an accurate result independent of a person’s activities during the test. In this sense, and taking into account that the diagnosis was the same in both cases for all the students, we can say that stressful situations don’t modify cardiac dynamics, and the diagnosis is useful in all situations. For that reason, the tool is reliable enough to estimate the cardiovascular health of a patient while he or she performs various daily activities by taking advantage of smartphones, commercial heart rate sensors, and IoT platforms.

ACS Style

Juan Cubillos-Calvachi; Juan Piedrahita-Gonzalez; Carlos Gutiérrez-Ardila; Carlos Montenegro-Marín; Paulo Gaona-García; Daniel Burgos. Analysis of stress’s effects on cardiac dynamics: A case study on undergraduate students. International Journal of Medical Informatics 2020, 137, 104104 .

AMA Style

Juan Cubillos-Calvachi, Juan Piedrahita-Gonzalez, Carlos Gutiérrez-Ardila, Carlos Montenegro-Marín, Paulo Gaona-García, Daniel Burgos. Analysis of stress’s effects on cardiac dynamics: A case study on undergraduate students. International Journal of Medical Informatics. 2020; 137 ():104104.

Chicago/Turabian Style

Juan Cubillos-Calvachi; Juan Piedrahita-Gonzalez; Carlos Gutiérrez-Ardila; Carlos Montenegro-Marín; Paulo Gaona-García; Daniel Burgos. 2020. "Analysis of stress’s effects on cardiac dynamics: A case study on undergraduate students." International Journal of Medical Informatics 137, no. : 104104.

Conference paper
Published: 31 January 2020 in Advances in Intelligent Systems and Computing
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In order to create an immersive application that allows access to digital resources through the creation of a navigation structure based on recognition of tangible objects, a study is presented where a group of 12 people interact with the proposed model and evaluate the experience with the immersive model. The results showed a great acceptance in terms of ease of use and comfort surpassing the average usability scale system, the aspects to be taken into account has to do with the functionalities that are expected to implement according to the comments of the participants so it is concluded that the development of the application meets expectations. It is expected to add more features with the motivation of achieving a great reception by the community taking into account the future integrations and learning that makes part of the possibilities that this technology offers both visitors and researchers in the areas addressed by the implementation of this application.

ACS Style

D. M. Muñoz-Araque; Maycol Hernandez Garcia; Paulo Gaona Garcia; Carlos Montenegro. Navigation of Resources from Tangible Object Recognition to Improve Virtual Tours in Botanical Gardens. Advances in Intelligent Systems and Computing 2020, 525 -534.

AMA Style

D. M. Muñoz-Araque, Maycol Hernandez Garcia, Paulo Gaona Garcia, Carlos Montenegro. Navigation of Resources from Tangible Object Recognition to Improve Virtual Tours in Botanical Gardens. Advances in Intelligent Systems and Computing. 2020; ():525-534.

Chicago/Turabian Style

D. M. Muñoz-Araque; Maycol Hernandez Garcia; Paulo Gaona Garcia; Carlos Montenegro. 2020. "Navigation of Resources from Tangible Object Recognition to Improve Virtual Tours in Botanical Gardens." Advances in Intelligent Systems and Computing , no. : 525-534.

Conference paper
Published: 24 April 2019 in Advances in Intelligent Systems and Computing
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Currently the image recognition and classification implementing Convolutional Neural Networks is highly used, where one of the most important factors is the identification and extraction of characteristics, events, among other aspects; but in many situations this task is left only in charge of the neural network, without establish and apply a previous phase of image processing that facilitates the identification of patterns. This can cause errors at the time of image recognition, which in critical mission scenarios such as medical evaluations can be highly sensitive. The purpose of this paper is to implement a prediction model based on convolutional neural networks for geometric figures classification, applying a previous phase of color-space segmentation as image processing method to the test dataset. For this, it will be carried out the approach, development and testing of a scenario focused on the image acquisition, processing and recognition using an AR-Sandbox and data analysis tools. Finally, the results, conclusions and future works are presented.

ACS Style

Andrés Ovidio Restrepo-Rodríguez; Daniel Esteban Casas-Mateus; Paulo Alonso Gaona-García; Carlos Enrique Montenegro-Marín. Image Recognition Model over Augmented Reality Based on Convolutional Neural Networks Through Color-Space Segmentation. Advances in Intelligent Systems and Computing 2019, 326 -338.

AMA Style

Andrés Ovidio Restrepo-Rodríguez, Daniel Esteban Casas-Mateus, Paulo Alonso Gaona-García, Carlos Enrique Montenegro-Marín. Image Recognition Model over Augmented Reality Based on Convolutional Neural Networks Through Color-Space Segmentation. Advances in Intelligent Systems and Computing. 2019; ():326-338.

Chicago/Turabian Style

Andrés Ovidio Restrepo-Rodríguez; Daniel Esteban Casas-Mateus; Paulo Alonso Gaona-García; Carlos Enrique Montenegro-Marín. 2019. "Image Recognition Model over Augmented Reality Based on Convolutional Neural Networks Through Color-Space Segmentation." Advances in Intelligent Systems and Computing , no. : 326-338.