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Juan Bullón Pérez
Department of Chemical Engineering and Textile, University of Salamanca, 37008 Salamanca, Spain

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Journal article
Published: 11 September 2020 in Sustainability
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Traceability and monitoring of industrial processes are becoming more important to assure the value of final products. Blockchain technology emerged as part of a movement linked to criptocurrencies and the Internet of Things, providing nice-to-have features such as traceability, authenticity and security to sectors willing to use this technology. In the retail industry, blockchain offers users the possibility to monitor details about time and place of elaboration, the origin of raw materials, the quality of materials involved in the manufacturing processes, information on the people or companies that work on it, etc. It allows to control and monitor textile articles, from their production or importing initial steps, up to their acquisition by the end consumer, using the blockchain as a means of tracking and identification during the whole process. This technology can also be used by the apparel industry in general and, more specifically, for ready-to-wear clothing, for tracing suppliers and customers along the entire logistics chain. The goal of this paper is to introduce the more recent traceability schemes for the apparel industry together with the proposal of a framework for ready-to-wear clothing which allows to ensure the transparency in the supply chain, clothing authenticity, reliability and integrity, and validity of the retail final products, and of the elements that compose the whole supply chain. In order to illustrate the proposal, a case study on a women’s shirt from an apparel and fashion company, where a private and open blockchain is used for tracing the product, is included. Blockchain actors are proposed for each product stage.

ACS Style

Juan Bullón Pérez; Araceli Queiruga-Dios; Víctor Gayoso Martínez; Ángel Martín Del Rey. Traceability of Ready-to-Wear Clothing through Blockchain Technology. Sustainability 2020, 12, 7491 .

AMA Style

Juan Bullón Pérez, Araceli Queiruga-Dios, Víctor Gayoso Martínez, Ángel Martín Del Rey. Traceability of Ready-to-Wear Clothing through Blockchain Technology. Sustainability. 2020; 12 (18):7491.

Chicago/Turabian Style

Juan Bullón Pérez; Araceli Queiruga-Dios; Víctor Gayoso Martínez; Ángel Martín Del Rey. 2020. "Traceability of Ready-to-Wear Clothing through Blockchain Technology." Sustainability 12, no. 18: 7491.

Review
Published: 14 February 2019 in Sensors
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One of the diseases that could affect diabetic patients is the diabetic foot problem. Unnoticed minor injuries and subsequent infection can lead to ischemic ulceration, and may end in a foot amputation. Preliminary studies have shown that there is a positive relationship between increased skin temperature and the pre–ulceration phase. Hence, we have carried out a review on wearables, medical devices, and sensors used specifically for collecting vital data. In particular, we are interested in the measure of the foot–temperature. Since there is a large amount of this type of medical wearables, we will focus on those used to measure temperature and developed in Spain.

ACS Style

Jesús Martín-Vaquero; Ascensión Hernández Encinas; Araceli Queiruga-Dios; Juan José Bullón; Alfonso Martínez-Nova; Jose Torreblanca González; Cristina Bullón-Carbajo. Review on Wearables to Monitor Foot Temperature in Diabetic Patients. Sensors 2019, 19, 776 .

AMA Style

Jesús Martín-Vaquero, Ascensión Hernández Encinas, Araceli Queiruga-Dios, Juan José Bullón, Alfonso Martínez-Nova, Jose Torreblanca González, Cristina Bullón-Carbajo. Review on Wearables to Monitor Foot Temperature in Diabetic Patients. Sensors. 2019; 19 (4):776.

Chicago/Turabian Style

Jesús Martín-Vaquero; Ascensión Hernández Encinas; Araceli Queiruga-Dios; Juan José Bullón; Alfonso Martínez-Nova; Jose Torreblanca González; Cristina Bullón-Carbajo. 2019. "Review on Wearables to Monitor Foot Temperature in Diabetic Patients." Sensors 19, no. 4: 776.

Conference paper
Published: 21 June 2017 in Proceedings of the 2nd International Conference on Data Engineering and Communication Technology
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The design and development of wearable biosensor systems for health monitoring has garnered lots of attention in the scientific community and the industry during the last years. The Internet of Things (IoT) enables added value services by connecting smart objects in a secure way in different applications, such as transport, health, building, energy, ecology, or industry, through multiscale integration. This paper presents a preliminary study on the design of a smart sock for dia-betic patients. This smart sock will allow monitoring diabetic patient’s health condition and temperature levels using foot temperature sensors. Sensed vital signs will be transmitted to a dedicated transmitter/receiver pair, such as a PC, PDA, or a mobile phone. It would make possible for patients to have real time information about their health condition, including foot temperature levels and therefore managing their diet and/or medication. As the market’s demand for medical information increases, this smart sock will provide a significant part of the answer for patients.

ACS Style

J. Bullón Pérez; A. Hernández Encinas; J. Martín-Vaquero; A. Queiruga-Dios; Alfonso Martínez Nova; J. Torreblanca González. Proposal of Wearable Sensor-Based System for Foot Temperature Monitoring. Proceedings of the 2nd International Conference on Data Engineering and Communication Technology 2017, 165 -172.

AMA Style

J. Bullón Pérez, A. Hernández Encinas, J. Martín-Vaquero, A. Queiruga-Dios, Alfonso Martínez Nova, J. Torreblanca González. Proposal of Wearable Sensor-Based System for Foot Temperature Monitoring. Proceedings of the 2nd International Conference on Data Engineering and Communication Technology. 2017; ():165-172.

Chicago/Turabian Style

J. Bullón Pérez; A. Hernández Encinas; J. Martín-Vaquero; A. Queiruga-Dios; Alfonso Martínez Nova; J. Torreblanca González. 2017. "Proposal of Wearable Sensor-Based System for Foot Temperature Monitoring." Proceedings of the 2nd International Conference on Data Engineering and Communication Technology , no. : 165-172.

Conference paper
Published: 01 October 2016 in International Joint Conference SOCO’16-CISIS’16-ICEUTE’16
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Cyber-Physical Systems (CPS) is an emergent approach of physical processes, computer and networking, that focuses on the interaction between cyber and physical elements. These systems monitor and control the physical infrastructures, that is why they have a high impact in industrial automation. The implementation and operation of CPS just like the management of the resulting automation infrastructure is of key importance to the industry. The evolution towards Industry 4.0 is mainly based on digital technologies. We present the integration of Industry 4.0 within the textile industry.

ACS Style

Juan Bullón Pérez; Angélica González Arrieta; Ascensión Hernández Encinas; Araceli Queiruga-Dios. Industrial Cyber-Physical Systems in Textile Engineering. International Joint Conference SOCO’16-CISIS’16-ICEUTE’16 2016, 126 -135.

AMA Style

Juan Bullón Pérez, Angélica González Arrieta, Ascensión Hernández Encinas, Araceli Queiruga-Dios. Industrial Cyber-Physical Systems in Textile Engineering. International Joint Conference SOCO’16-CISIS’16-ICEUTE’16. 2016; ():126-135.

Chicago/Turabian Style

Juan Bullón Pérez; Angélica González Arrieta; Ascensión Hernández Encinas; Araceli Queiruga-Dios. 2016. "Industrial Cyber-Physical Systems in Textile Engineering." International Joint Conference SOCO’16-CISIS’16-ICEUTE’16 , no. : 126-135.

Conference paper
Published: 01 June 2016 in Advances in Intelligent Systems and Computing
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Textile Engineering relies increasingly on the use of computer models that seek to predict the properties and performance of certain textile structures. Those models have been using different computational tools to represent fabrics in a suitable computing environment and also to predict its final properties. Among others, the mathematical models to simulate the behavior of the studied textile structures (yarns, fabrics, kniting and nonwoven). The analysis of textile designs or structures through the Finite Element Method (FEM) has largely facilitated the prediction of their behavior of the textile structure under mechanical loads. For classification problems Artificial Neural Networks (ANNs) have proved to be a very effective tool for a quick and accurate solution. The Case-Based Reasoning (CBR) method is proposed, to complement the results of the those systems where the finite element simulation, mathematical modeling and neural networks can not be applied.

ACS Style

J. Bullón Pérez; A. González Arrieta; A. Hernández Encinas; A. Queiruga Dios. Textile Engineering and Case Based Reasoning. Advances in Intelligent Systems and Computing 2016, 423 -431.

AMA Style

J. Bullón Pérez, A. González Arrieta, A. Hernández Encinas, A. Queiruga Dios. Textile Engineering and Case Based Reasoning. Advances in Intelligent Systems and Computing. 2016; ():423-431.

Chicago/Turabian Style

J. Bullón Pérez; A. González Arrieta; A. Hernández Encinas; A. Queiruga Dios. 2016. "Textile Engineering and Case Based Reasoning." Advances in Intelligent Systems and Computing , no. : 423-431.