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Crowd monitoring was an essential measure to deal with over-tourism problems in urban destinations in the pre-COVID era. It will play a crucial role in the pandemic scenario when restarting tourism and making destinations safer. Notably, a Destination Management Organisation (DMO) of a smart destination needs to deploy a technological layer for crowd monitoring that allows data gathering in order to count visitors and distinguish them from residents. The correct identification of visitors versus residents by a DMO, while privacy rights (e.g., Regulation EU 2016/679, also known as GDPR) are ensured, is an ongoing problem that has not been fully solved. In this paper, we describe a novel approach to gathering crowd data by processing (i) massive scanning of WiFi access points of the smart destination to find SSIDs (Service Set Identifier), as well as (ii) the exposed Preferred Network List (PNL) containing the SSIDs of WiFi access points to which WiFi-enabled mobile devices are likely to connect. These data enable us to provide the number of visitors and residents of a crowd at a given point of interest of a tourism destination. A pilot study has been conducted in the city of Alcoi (Spain), comparing data from our approach with data provided by manually filled surveys from the Alcoi Tourist Info office, with an average accuracy of 83%, thus showing the feasibility of our policy to enrich the information system of a smart destination. This research was carried out within the research Project Alcoi Tourist Lab framework, co-funded by the Alcoi City Council & the Valencian Innovation Agency. The research was also partially funded by project UAPOSTCOVID19-10 from the University of Alicante. Finally, this research was partly supported by the EU CEF project GreenMov, CARM HORECOV-21 project (https://horecovid.com/ (accessed on 12 January 2022)). is financed through the Call for Public Aid destined to finance the Strategic projects contemplated in the Research and Innovation Strategy for Smart Specialization - RIS3MUR Strategy by the Autonomous Community of the Region of Murcia, through the Ministry of Economic Development, Tourism and Employment within the framework of the FEDER Region of Murcia Operational Program 2014–2020 within the framework Thematic Objective 1. Strengthen research, technological development and innovation by 80% and with CARM’s own funds in 20%, and finally the EU project H2020 NIoVE (833742).

This paper presents the design and validation of a traceability system, based on radio frequency identification (RFID) technology and Internet of Things (IoT) services, intended to address the interconnection and cost-implementation problems typical in traceability systems. The RFID layer integrates temperature sensors into RFID tags, to track and trace food conditions during transportation. The IoT paradigm makes it possible to connect multiple systems to the same platform, addressing interconnection problems between different technology providers. The cost-implementation issues are addressed following the Data as a Service (DaaS) billing scheme, where users pay for the data they consume and not the installed equipment, avoiding the big initial investment that these high-tech solutions commonly require. The developed system is validated in two case scenarios, one carried out in controlled laboratory conditions, monitoring chopped pumpkin. Another case, carried out in a real scenario, monitors oranges sent from Valencia, Spain to Cork, Ireland.

[EN] Dynamic laser speckle (DLS) is used as a reliable sensor of activity for all types of materials. Traditional applications are based on high-rate captures (usually greater than 10 frames-per-second, fps). Even for drying processes in conservation treatments, where there is a high level of activity in the first moments after the application and slower activity after some minutes or hours, the process is based on the acquisition of images at a time rate that is the same in moments of high and low activity. In this work, we present an alternative approach to track the drying process of protective layers and other painting conservation processes that take a long time to reduce their levels of activity. We illuminate, using three different wavelength lasers, a temporary protector (cyclododecane) and a varnish, and monitor them using a low fps rate during long-term drying. The results are compared to the traditional method. This work also presents a monitoring method that uses portable equipment. The results present the feasibility of using the portable device and show the improved sensitivity of the dynamic laser speckle when sensing the long-term process for drying cyclododecane and varnish in conservation., This work was partially funded by Generalitat Valenciana project AICO/2016/058 and by the Plan Nacional de I+D, Comision Interministerial de Ciencia y Tecnologia (FEDER-CICYT) under the project HAR2013-47895-C2-1-P and project HAR2017-85557-P

[EN] Internet of Things (IoT) technologies can facilitate the preventive conservation of cultural heritage (CH) by enabling the management of data collected from electronic sensors. This work presents an IoT architecture for this purpose. Firstly, we discuss the requirements from the artwork standpoint, data acquisition, cloud processing and data visualization to the end user. The results presented in this work focuses on the most critical aspect of the architecture, which are the sensor nodes. We designed a solution based on LoRa and Sigfox technologies to produce the minimum impact in the artwork, achieving a lifespan of more than 10 years. The solution will be capable of scaling the processing and storage resources, deployed either in a public or on-premise cloud, embedding complex predictive models. This combination of technologies can cope with different types of cultural heritage environments., This work was partially funded by the Generalitat Valenciana project AICO/2016/058 and by the Plan Nacional de I+D, Comision Interministerial de Ciencia y TecnologiA (FEDER-CICYT) under the project HAR2013-47895-C2-1-P.

Dynamic laser speckle is applied as a reliable sensor of activity in all sort of material. Traditional applications are based on a time rate that is usually higher than 10 frames-per-second (FPS). Even in drying processes, where there is a high activity in the first moments after the painting and a slow activity after some minutes or hours, the process is based on the acquisition of images in a time rate that is the same in both moments of high and low activity. In this work, we present an alternative approach to follow the drying of paint and the other processes related to restauration of paintings that takes long-term to reduce the activity. We illuminated, using three different wavelength lasers, an accelerator (Cyclododecane) and a varnish used in restauration of paintings and monitor them at long-term drying using an alternative fps, comparing the results to the traditional method. The work also presents a way to do the monitoring using a portable equipment. The results present the feasibility to use the portable device and show the improvement in the sensitivity of the dynamic laser speckle to sense long-term process regarding the drying of Cyclododecane and Varnish used in restauration.

[EN] The environment in livestock buildings must be controlled to ensure the health and welfare of both workers and animals, as well as to restrict the emission of pollutants to the atmosphere. Among the pollutants generated inside these premises, carbon dioxide (CO2) is of great interest in terms of animal welfare and ventilation control. The use of inexpensive sensors means that complete systems can be designed with a number of sensors located around the building. This paper describes a study of the suitability of multipoint simultaneous CO2 sensors operating in a wireless sensor network, which was found to operate satisfactorily under laboratory conditions and was found to be the best alternative for these applications. The sensors showed a highly linear response to CO2 concentrations, ranging from 500 to 5000 ppm. However, individual sensor response was found to differ, which made it necessary to calibrate each one separately. Sensor precision ranged between 80 and 110 ppm CO2, and sensor response to register a 95% change in concentration was estimated at around 5 min. These features mean this type of sensor network can be used to monitor animal welfare and also for environmental control in poorly ventilated livestock premises. According to the tests conducted in this study, a temporal drift may occur and therefore a regular calibration of sensors would be needed., This project was supported by the Vicerrectorado de Investigacion of the UPV (Programa de Apoyo a la Investigacion y Desarrollo, PAID-06-11 Program, Project No. 2843) and the Spanish Government under Projects CTM2011-29691-C02-01 and TIN2011-28435-C03-0. The translation of this paper was funded by the Universitat Politecnica de Valencia, Valencia, Spain.

Network simulators are useful for researching protocol performance, appraising new hardware capabilities and evaluating real application scenarios. However, these tasks can only be achieved when using accurate models and real parameters that enable the extraction of trustworthy results and conclusions. This paper presents an underwater wireless sensor network ecosystem for the ns-3 simulator. This ecosystem is composed of a new energy-harvesting model and a low-cost, low-power underwater wake-up modem model that, alongside existing models, enables the performance of accurate simulations by providing real weather and marine conditions from the location where the real application is to be deployed., The authors gratefully acknowledge financial support from CICYT (research projects CTM2011-29691-C02-01, TIN2011-28435-C03-01) and UPV (research project SP20120889).

The use of IT technologies plays an important role in the training of future engineers. In this paper, smartphones and multimedia technologies are proposed as an innovative way to tackle the formation of students, at different levels, in the Industrial Informatics (II) subject of the Industrial Electronics Engineering (IEE) degree. II instructs future Engineers in the design of IT systems to control industrial processes. In the first level, smartphones are used to display a web-based multimedia tool that is implemented to register the lecture explanations regarding the design of II systems, so as it facilitates student to guide him/her self in the learning process. In the second level, the smartphone is proposed as the control system of a medium size industrial process (e.g., water tank). Since II uses a problem-based learning methodology (miniproject) to instruct the design of II systems, for each lecture, laboratory practices are tackled, and the solutions obtained are embedded in the smartphone to control the corresponding part of the miniproject. An application of the Smartphone multimedia tool is presented to show how students interact with the developed system. The successful evaluation of the proposed tools, by more than 900 IEE students during three years, is shown., This work was supported in part by the Universitat Politecnica de Valencia, Valencia, Spain, under Grant 20090513-" Dynamizing the European Convergence Higher Education." Paper no. TII-11-308.

[EN] The early detection of pests is key for the maintenance of high-value masterpieces and historical buildings made of wood. In this work, we the present detailed design of an ultra-low power sensor device that permits the continuous monitoring of the presence of termites and other xylophagous insects. The operating principle of the sensor is based on the variations of reflected light induced by the presence of termites, and specific processing algorithms that deal with the behavior of the electronics and the natural ageing of components. With a typical CR2032 lithium battery, the device lasts more than nine years, and is ideal for incorporation in more complex monitoring systems where maintenance tasks should be minimized, This work was funded by the Generalitat Valenciana's project AICO/2016/058.

We present a set of novel low power wireless sensor nodes designed for monitoring wooden masterpieces and historical buildings, in order to perform an early detection of pests. Although our previous star-based system configuration has been in operation for more than 13 years, it does not scale well for sensorization of large buildings or when deploying hundreds of nodes. In this paper we demonstrate the feasibility of a cluster-based dynamic-tree hierarchical Wireless Sensor Network (WSN) architecture where realistic assumptions of radio frequency data transmission are applied to cluster construction, and a mix of heterogeneous nodes are used to minimize economic cost of the whole system and maximize power saving of the leaf nodes. Simulation results show that the specialization of a fraction of the nodes by providing better antennas and some energy harvesting techniques can dramatically extend the life of the entire WSN and reduce the cost of the whole system. A demonstration of the proposed architecture with a new routing protocol and applied to termite pest detection has been implemented on a set of new nodes and should last for about 10 years, but it provides better scalability, reliability and deployment properties. © 2011 by the authors; licensee MDPI, Basel, Switzerland., The authors gratefully acknowledge the financial support provided by CICYT research project PET-2008-0011 and AIDIMA (Furniture, Wood and Packaging Technology Institute). The translation of this paper was funded by the Universitat Politecnica de Valencia, Spain.

The seven engineering degrees of the Higher Technical School of Design Engineering (ETSID), Technical University of Valencia, include in their formation programs, subjects, and laboratory projects to instruct students in the aspects of the design, development, and validation of applications for process control, automation, industrial informatics, and embedded systems. Moreover, the authors participate in European projects of education such as the International Network of Embedded System (INES) and the European Project Semester (EPS), where exchange students remotely perform the first phase of their projects at ETSID from their home universities. To significantly reduce the cost of installing a huge number of real prototypes in labs and to fulfill the distance requirements of the exchange students, a remote laboratory architecture, i.e., simPROCes, has been designed. simPROCes not only permits the teleoperation of simulators/real prototypes but also allows that complete control applications be remotely tested and validated. simPROCes is precisely specified to be independent of the model of computer, data acquisition card, programming language, and operating system, and is transparent to the programmer and easy to use. This system is useful both for the education and development of control application purposes. A water tank process shows the installation procedure of simPROCes to test and validate control applications. The experience of applying simPROCes in the electronic engineering degree and within the framework of INES and EPS has been successfully rated by student surveys.

[EN] Wireless technology for underwater communication possesses a wide range of potential application, but it is still a relatively unexplored area in many aspects concerning modems physical design. A step towards future deployment of underwater networks is the reduction of power consumption. Therefore, asynchronous wakeup systems need to be integrated within the physical layer design while avoiding the use of additional transducers. This paper offers a practical and generic solution to adapt data reception and transmission together with asynchronous wakeup sub-systems in acoustic underwater modem architectures using a low power and low cost solution. The proposal has been implemented in a real prototype with success., The translation of this paper was funded by the Universitat Politècnica de València, Spain.The authors gratefully acknowledge financial support from the CICYT. ANDREA: Automated Inspection and Remote Performance of Marine Fish Farms (CTM2011-29691-C02-01) and RIDeWAN: Research on Improvement of the Dependability of WSN-based Applications by Developing a Hybrid Monitoring Platform. (TIN2011-28435-C03-01).

We present an approach for the modelling and simulating of the modem section of underwater sensor networks. The proposal is based on a specially designed modem architecture and the use of simulation tools and models that represent each of the communication elements: the water medium, physical transducers, electronics, and coding/decoding software. The algorithms can be simulated in the modelling environment; this framework does not require recoding and allows the combination of real and modelled elements. In physical terms, the modem engine provides a decoupled pipelined design of the processing path for the algorithms which allows users to run complex algorithms without requiring a highly demanding specific hardware. The proposal includes a methodology that has allowed us to significantly reduce the effort required in the process, from algorithm development to the effective deployment of the system. As a case study, this paper shows its application and results in the evaluation of a multipath and Doppler-shift correction algorithms., The authors gratefully acknowledge financial support from the CICYT ANDREA: Automated Inspection and Remote Performance of Marine Fish Farms (CTM2011-29691-C02-01), RIDeWAM: Research on Improvement of the Dependability of WSN based Applications by developing a hybrid monitoring platform (TIN2011-28435-C03-01), Valencian Regional Government under Research Project GV/2014/012, and Universitat Politecnica de Valencia under Research Project UPV PAID-02-12. The translation of this paper was funded by the Universitat Politecnica de Valencia, Spain.

This paper presents a multidisciplinary problem-based learning (PBL) project consisting of the development of a robot arm prototype and the implementation of its control system. The project is carried out as part of Industrial Informatics (II), a compulsory third-year course in the Automation and Electronic Engineering (AEE) degree program at the School of Engineering at Universitat Politècnica de València, València, Spain. The robot arm is a low-cost prototype, initially controlled with a joystick. The aim of the project is, first, to design and implement a full control system for the robot, including the necessary circuitry for microcomputer (ARM Cortex)-based control and, second, to pit the designed robot in competition against other students' robots. Incorporation of multidisciplinary PBL required changes in the organization of the course, which features various learning activities and their continuous evaluation; it also required knowledge of five other courses in the AEE program. PBL methodology is compared to a traditional method; the results obtained proved highly satisfactory. Moreover, the PBL robotic experience was highly rated by some 900 students.

Conventional misfire diagnosis techniques are based on the analysis of the instantaneous engine speed. Although they have proved their efficiency in some operating conditions and for the detection of total misfires, their performance could be insufficient in a near future. This paper presents a comparative study of different alternative detection principles for the detection of slight unevenness between cylinders in the injection process for a turbocharged Diesel engine. The selected techniques are the instantaneous exhaust manifold pressure, the instantaneous turbocharger speed and the mean temperature at the exhaust cylinder ports. All alternative techniques show improved performance and linearity compared to the conventional one, particularly at high engine speed and low load. All these techniques are compared with the conventional approach and main advantages and disadvantages are discussed.

An innovative educational methodology adapted to the requirements of a new era with new societal and industrial challenges for electronic engineers is proposed in this paper. This active methodology, known as the Educational Innovation Project (EIP), is being studied in the Electronic Engineering (EE) degree of the Higher Technical School of Design Engineering at the Polytechnic University of Valencia, Valencia, Spain. The main objective of the EIP methodology is to improve the process of teaching and learning in order to increase student success. To accomplish this objective, the EIP method addresses various issues. From an organizational viewpoint, different structural aspects of the EE degree have been adapted, such as balancing and integrating lectures and laboratory sessions, advancing into interdisciplinary studies coordinated among all the subjects of the course, and strengthening the work in teams to tackle real engineer problems. The industrial computer engineering (ICE) subject is taken as a reference to show how these aspects have been applied. Regarding the faculty, lecturers participate in an open and permanent process of further training; attitudes toward cooperation and exchanges of experience among them are promoted; and research and reflection on new methodologies is encouraged. One of the challenges of the implementation of the EIP project is the development of multidisciplinary projects by team workers. The knowledge acquired from all the subjects is put into practice through the development of a common project to undertake real engineering problems.

Communications between two autonomous vehicles has been always an important challenge, especially when one of the vehicles is intended for conducting submerged navigation most of its operational time. Underwater communications become in that case the one most common and feasible way for allowing data trasfering underneath the sea surface. Considering low cost of the final vehicle as one of the main features in the concept of this project, a low power low-cost acoustic modem initially intended for environmental sensor applications has been adopted. With the purpose of increasing at maximum the energy reservoir, this modem includes among others, self-wake capabilities and directional transmission. The present work continues in the validation of this acoustic device for application in Underwater Unmanned Vehicles (UUV) in multivehicle configurations. Different solutions for solving the problems associated to the difficulty of conducting robust and reliable data transfering by using this device are presented.

This paper is focused on the description of the physical layer of a new acoustic modem called ITACA. The modem architecture includes as a major novelty an ultra-low power asynchronous wake-up system implementation for underwater acoustic transmission that is based on a low-cost off-the-shelf RFID peripheral integrated circuit. This feature enables a reduced power dissipation of 10 ¿W in stand-by mode and registers very low power values during reception and transmission. The modem also incorporates clear channel assessment (CCA) to support CSMA-based medium access control (MAC) layer protocols. The design is part of a compact platform for a long-life short/medium range underwater wireless sensor network. © 2012 by the authors; licensee MDPI, Basel, Switzerland., This work has been partially funded by projects DPI2007-66796-C03-01 (Diseno, Evaluacion e Implementacion de una Red Subacuatica de Sensores-Ministerio de Educacion y Ciencia), PET2008-0011 (Investigacion basica fundamental sobre tecnologias constitutivas de un sistema de red inalambrica de sensores y su aplicacion para el desarrollo de una plataforma de redes inalambricas de sensores-Ministerio de Ciencia e Innovacion) and CTM2011-29691-C02-01 (Sonorizacion ambiental subacuatica para la inspeccion y monitorizacion de explotaciones de acuicultura marina-Ministerio de Ciencia e Innovacion).

[EN] Most e-maintenance approaches are oriented to big industries and are prohibitive for modest industries. This paper proposes an architecture for e-maintenance that tries to solve this gap. This architecture defines two domains, the floor-shop and the cloud domain. In the floor-shop domain, a mobile device is connected to the system to be maintained by means of a tether-free process interface. On the other hand, the cloud domain provides the resources to improve the maintenance in instrumented manufacturing systems via Internet connection. Also, the mobile device is responsible for joining both domains through its Internet capabilities. The proposed architecture combines mobile devices, cloud computing and Internet connectivity, allowing fresh technicians to supply its lack of expertise, reducing maintenance task time and minimizing the expert technician dependency. The expert now changes his role because his physical presence at the floor-shop domain is not required, being his know-how incorporated to the system. The proposal is human-centric, providing an intuitive usability such as any typical smartphone app. The results show that it is feasible to reduce drastically the economic requirements for deploying complex e-maintenance infrastructures, increasing the quality of the maintenance and enabling the applicability to small factories where maintenance is mostly outsourced. This is translated to higher availability and productivity of the manufacturing plant., This work has been partially supported by Spanish MICINN project TIN2011-28435-C03-01.

Concurrent and distributed simulation has proven its value reducing the time researchers spend in simulation model validation and execution. Our research group has developed distributed simulation tools applicable to any discrete-event simulator. PVM was used before as distributed execution environment, but the use of PVM is not transparent for final users. On the other hand, GRID frameworks are being used successfully to distribute execution of applications. Once a GRID framework is installed and configured, it is very easy to use for any user so we thought that GRID frameworks could be a better base system than PVM for our distributed simulation tool. The experience presented in this paper shows that GRID frameworks offer an environment that is easier to exploit, while providing similar efficiency than the PVM version used previously.

The use of locking caches has been recently proposed to ease the analysis of the performance and predictability of a cache when used in a real-time system. One promising method to adequately select the cache contents is the use of a genetic algorithm. However, this method requires the tuning of analysis parameters and this step requires a huge computational cost that can be reduced only if a massively parallel computing infrastructure is used. The work presented here analyses the specific requirements of the genetic algorithm tuning and the facilities provided by commercial grid software. Although the grid eases the resource management and job execution it lacks some communication link with submitted jobs, which is solved by the use of a specialized program called the Experiment Manager. This experiment manager supplements the grid and offers a completely automated environment for algorithm tuning to the researcher.

Cache memories can improve computer performance, but its unpredictable behaviour makes difficult to use them in hard real-time systems. Classical analysis techniques are not sufficient to accomplish schedulability analysis, and new hardware resources or complex analysis algorithms are needed. This work presents a comprehensive method to obtain predictability on the use of caches in real-time systems using an EDF scheduler. Reaching a predictable cache, schedulability analysis can be accomplished in a simple way through conventional algorithms.

Parallel simulation methods can be used to reduce the execution time of simulations of complex systems. This approach is being used to improve the execution time of a storage area network (SAN) simulator designed in our department. From our experience in planning simulation experiments, we have realized that, in most cases, a simulation experiment (group of simulations) is executed while varying only one input variable, which usually corresponds to the input, workload or a configuration model parameter. We propose two methods to reduce the overall execution time of a simulation experiment using a cluster of workstations. The first method uses the first simulation in order to tune the rest of the remaining work to be done in the experiment. The second method, based in the first one, tries to minimize the negative influence of the initial transient period by chaining the simulations in the experiment. We show that these two methods noticeably decrease the overall execution time needed to run the simulations that compose the experiment.