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Using vertical areas in finite set model predictive control of a three-level inverter aimed at computation reduction
(Turkiye Klinikleri, 2022) Ja’Afari, Alireza; Davari, S. Alireza; Garcia, Cristian; Rodriguez, Jose
In power electronics applications, finite set model predictive control (FS-MPC) has proven to be a viable strategy. However, due to the high processing power required, using this technology in multilevel converters is difficult. This strategy, which is based on predicting the behavior of the system for all conceivable states, has an issue with a numerous of possible switching states. A recent and useful strategy for dealing with the problem is the limiting of calculations based on triangle regions. Despite its success, this method has several limitations, including the computation required to locate the right triangle and the boundary modes. In this research, the vertical areas are used for the limiting of calculations. Not only determining the right zone is an easy task with this strategy, but the number of possible candidates is also reduced to two. Furthermore, the boundary mode will not occur. In the proposed method, two key advantages can be seen in the discussion of reduction of calculations: (1) new zoning, which eliminates the calculations related to the slope of the lines. (2) The number of options placed in the cost function has been reduced to 2 candidates. Simulations are used to validate the approach, which is applied to a three-level neutral point clamped (NPC) inverter. © 2022 Turkiye Klinikleri. All rights reserved.
Procedimiento de agrupación de estudiantes según riesgo de abandono para mejorar la gestión estudiantil en educación superior
(Lundiana, 2022) Hinojosa, Mauricio; Derpich, Iván; Alfaro, Miguel; Ruete, David; Caroca, Alejandro; Gatica, Gustavo
The complex problem of student dropout represents an opportunity for the application of data mining technology and methods in higher education. The objective of this research is to obtain the profile of students at risk of dropping out and thus generate student management plans that impact on the variables that explain this situation. For this, it is proposed to use a CRISP-DM methodological structure, applying statistical tools and unsupervised machine learning. The cross-sectional analysis was carried out on a universe of freshmen day students at a private Chilean university. The sociodemographic and behavioural variables used were based on attrition theory and expert judgment, and the data were obtained from the historical records available at the Institution. To obtain the variables that most influenced dropout, correlation and principal component analyses were performed. The application of agglomerative hierarchical clustering and rough sets technique produced four profiles of students with their respective association rules and five academic variables that allowed the design of a support system to reduce dropout and promote retention. © 2022 Universidade Federal de Minas Gerais. All rights reserved.
Analytical Calculation of Harmonics and Harmonic Losses in Five-Phase Carrier-Based PWM Voltage Source Inverters
(Institute of Electrical and Electronics Engineers Inc., 2022) Hamedani, Pegah; Garcia, Cristian; Rodriguez, Jose
The main purpose of this paper is to analyze a five-phase Voltage Source Inverter (VSI) that is operated with the Pulse Width Modulation (PWM) switching technique. Double Fourier integral (DFI) analysis has been used to extract the harmonics of the line-to-line voltages. Moreover, the harmonic current ripple has been calculated for an effective inductive five-phase load with a regular pentagon connection. Correspondingly, a new closed-form solution for calculating the harmonic losses in five-phase VSIs has been derived. In addition, a new equation for the weighted total harmonic distortion (WTHD) index has been extracted for five-phase VSIs. To validate the suggested analytical solutions (i.e., harmonic losses and WTHD equations), the results are compared with the DFI calculation method and the method of applying the fast Fourier transform (FFT) to a simulated waveform. The results show that the proposed analytical method has high accuracy and requires less mathematical effort, especially at high-frequency ratio values. Finally, the study includes simulation results and the implementation of an experimental setup. © 2013 IEEE.
Innovative use of micronized biomass silica-GGBS as agro-industrial by-products for the production of a sustainable high-strength geopolymer concrete
(Elsevier Ltd, 2023-07) Jayanthi V; Avudaiappan, Siva; Amran, Mugahed; Arunachalam, Krishna Prakash; Qader, Diyar N.; Delgado, Manuel Chávez; Saavedra Flores, Erick I.; Rashid, Raizal S.M.
Micronized biomass silica (MBS) and ground granulated blast furnace slag (GGBS) are agro-industrial byproducts generated by incinerating of rice husk (grinding in jar mill) and blast furnaces that used produce iron, respectively. MBS accounts for 20% of the world's total paddy output of 590 million tons. These by-products (MBS and GGBS) have a high concentration of amorphous silica, which is utilized as a mineral additive in concrete. This amorphous silica interacts with hydration products, resulting in the formation of additional CSH gel. This improves concrete's strength and durability properties. Therefore, it is proven that inclusion of agro-industrial by-products in concrete helps to promote sustainable and greener development, which in turn reduces carbon footprints and waste that must be disposed of in landfills. There have been few investigations on concrete using MBS and demonstrated the great potential of employing MBS as a cement substitute or additive in normal concrete. Also, the utilization of MBS as partial replace to GGBS in geopolymer concrete (GPC) with different molarity is a novel aspect of this study. However, this study has the aim and limit to develop a high-strength eco-friendly GPC with agro-industrial byproducts (MBS and GGBS) for use in sustainable construction. The impact of incorporating MBS as a partial replacement of GGBS on compressive and split tensile strengths, sorptivity, and chloride permeability was tested up to the age of 28 days. MBS was used to replace GGBS in varying percentages in the preparation of concretes. MBS were used in concrete at 0%, 10%, 20%, and 30% replacement by weight. It was discovered that a GPC combination containing MBS 20% and the balance GGBS as the binder had the best performance in terms of its strength and durability. The compressive strengths of all GPC mixtures exceeded the intended design strength. The main findings of this study demonstrated clearly that MBS may be employed as a binder in the production of GPC. © 2023 The Authors
Fall Risk Classification Using Trunk Movement Patterns from Inertial Measurement Units and Mini-BESTest in Community-Dwelling Older Adults: A Deep Learning Approach
(Multidisciplinary Digital Publishing Institute (MDPI), 2024) Robles Cruz, Diego; Puebla Quiñones, Sebastián; Lira Belmar, Andrea; Quintana Figueroa, Denisse; Reyes Hidalgo, María; Taramasco Toro, Carla
Falls among older adults represent a critical global public health problem, as they are one of the main causes of disability in this age group. We have developed an automated approach to identifying fall risk using low-cost, accessible technology. Trunk movement patterns were collected from 181 older people, with and without a history of falls, during the execution of the Mini-BESTest. Data were captured using smartphone sensors (an accelerometer, a gyroscope, and a magnetometer) and classified based on fall history using deep learning algorithms (LSTM). The classification model achieved an overall accuracy of 88.55% a precision of 90.14%, a recall of 87.93%, and an F1 score of 89.02% by combining all signals from the Mini-BESTest tasks. The performance outperformed the metrics we obtained from individual tasks, demonstrating that aggregating all cues provides a more complete and robust assessment of fall risk in older adults. The results suggest that combining signals from multiple tasks allowed the model to better capture the complexities of postural control and dynamic gait, leading to better prediction of falls. This highlights the potential of integrating multiple assessment modalities for more effective fall risk monitoring.
Comparison of Faster R-CNN, YOLO, and SSD for Third Molar Angle Detection in Dental Panoramic X-rays
(Multidisciplinary Digital Publishing Institute (MDPI), 2024-09) Vilcapoma, Piero; Parra Meléndez, Diana; Fernández, Alejandra; Vásconez, Ingrid Nicole; Hillmann, Nicolás Corona; Gatica, Gustavo; Vásconez, Juan Pablo
The use of artificial intelligence algorithms (AI) has gained importance for dental applications in recent years. Analyzing AI information from different sensor data such as images or panoramic radiographs (panoramic X-rays) can help to improve medical decisions and achieve early diagnosis of different dental pathologies. In particular, the use of deep learning (DL) techniques based on convolutional neural networks (CNNs) has obtained promising results in dental applications based on images, in which approaches based on classification, detection, and segmentation are being studied with growing interest. However, there are still several challenges to be tackled, such as the data quality and quantity, the variability among categories, and the analysis of the possible bias and variance associated with each dataset distribution. This study aims to compare the performance of three deep learning object detection models—Faster R-CNN, YOLO V2, and SSD—using different ResNet architectures (ResNet-18, ResNet-50, and ResNet-101) as feature extractors for detecting and classifying third molar angles in panoramic X-rays according to Winter’s classification criterion. Each object detection architecture was trained, calibrated, validated, and tested with three different feature extraction CNNs which are ResNet-18, ResNet-50, and ResNet-101, which were the networks that best fit our dataset distribution. Based on such detection networks, we detect four different categories of angles in third molars using panoramic X-rays by using Winter’s classification criterion. This criterion characterizes the third molar’s position relative to the second molar’s longitudinal axis. The detected categories for the third molars are distoangular, vertical, mesioangular, and horizontal. For training, we used a total of 644 panoramic X-rays. The results obtained in the testing dataset reached up to 99% mean average accuracy performance, demonstrating the YOLOV2 obtained higher effectiveness in solving the third molar angle detection problem. These results demonstrate that the use of CNNs for object detection in panoramic radiographs represents a promising solution in dental applications.
Breaking the Ring of Fire: How Ridge Collision, Slab Age, and Convergence Rate Narrowed and Terminated the Antarctic Continental Arc
(John Wiley and Sons Inc, 2023-05) Burton-Johnson, Alex; Bastias, Joaquin; Kraus, Stefan
The geometry of the Antarctic-Phoenix Plate system, with the Antarctic Plate forming both the overriding plate and the conjugate to the subducting oceanic plate, allows quantification of slab age and convergence rate back to the Paleocene and direct comparison with the associated magmatic arc. New Ar-Ar data from Cape Melville (South Shetland Islands, SSI) and collated geochronology shows Antarctic arc magmatism ceased at ∼19 Ma. Since the Cretaceous, the arc front remained ∼100 km from the trench whilst its rear migrated trenchward at 6 km/Myr. South of the SSI, arc magmatism ceased ∼8–5 Myr prior to each ridge-trench collision, whilst on the SSI (where no collision occurred) the end of arc magmatism predates the end of subduction by ∼16 Myr. Despite the narrowing and successive cessation of the arc, geochemical and dyke orientation data shows the arc remained in a consistently transitional state of compressional continental arc and extensional backarc tectonics. Numerically relating slab age, convergence rate, and slab dip to the Antarctic-Phoenix Plate system, we conclude that the narrowing of the arc and the cessation of magmatism south of the SSI was primarily in response to the subduction of progressively younger oceanic crust, and secondarily to the decreasing convergence rate. Increased slab dip beneath the SSI migrated the final magmatism offshore. Comparable changes in the geometry and composition are observed on the Andean arc, suggesting slab age and convergence rate may affect magmatic arc geometry and composition in settings currently attributed to slab dip variation. © Wiley Periodicals LLC. The Authors.
Desafíos en la vigilancia de todos los casos de cáncer en Chile: Registro Nacional de Cáncer
(Medwave Estudios Ltda, 2024-01) Taramasco, Carla; Rimassa, Carla; Acevedo, Johana
El cáncer causa millones de muertes a nivel mundial por lo que su registro es fundamental, existiendo registros clínicos, hospitalarios y poblacionales. Estos últimos son el estándar de oro para la información sobre incidencia y supervivencia de cáncer en una región definida. En Chile se cuenta con cinco registros poblacionales ubicados en ciertas zonas del país. El Registro Nacional del Cáncer chileno surge como un desafío para conformar una herramienta transversal a los tres tipos de registro con la finalidad de, al menos, conocer la cantidad de casos por tipo de cáncer. Su diseño implicó un despliegue de acciones orientadas a lograr consensos entre diversos actores respecto de la información, validación y eventos necesarios de registrar. Se identificaron cuatro etapas en el proceso de atención y el registro: sospecha de diagnóstico, confirmación morfológica (biopsia), resolución clínica (comité oncológico incluyendo la indicación de tratamiento), tratamiento y seguimiento oncológico. A su vez, el desarrollo de la plataforma (años 2018 a 2021) implicó levantamiento de información y acuerdos sobre los requerimientos para el co-diseño del registro, incluyendo un exitoso pilotaje con más de 20 establecimientos de salud del sector público y privado con registro de cerca de 7500 casos de cáncer. El despliegue y uso del Registro Nacional de Cáncer a nivel nacional depende de la autoridad sanitaria. Se trata de un sistema de información que recolecta, almacena, procesa y analiza de forma continua y sistemática datos sobre todos los casos y tipos de cánceres que ocurren en el país. En este trabajo se presenta el diseño y desarrollo de la herramienta, los desafíos abordados, sus fortalezas y debilidades.
Applying the Delphi method with early-career researchers to explore a genderissues agenda in STEM education
(Modestum LTD, 2022) Hernandez-Martinez, Paul; Dominguez, Angeles; Zavala, Genaro; Kambouri, Maria; Zubieta, Judith; Clark, Robin
The Delphi method (DM) was initially conceived as a forecasting technique whose results are based on the consensus of a panel of experts. It has been used in many fields, assisting researchers, policymakers, and others in setting directions and future agendas. This study presents an application of the DM, with a broader interpretation of the notion of “expert” as a qualitative tool to explore gender issues in science, technology, engineering, and mathematics (STEM) education. Its aim is to analyze the use of the DM as a technique to achieve agreement among a group of early-career researchers from the UK and Mexico, who are not considered “experts” in the traditional sense. The other aim was to explore the advantages and disadvantages of using the DM in this context. We used three stages to collect information and reach a consensus. The first two were online activities, and the last consisted of a five-day face-to-face workshop. In the first stage, participants sent research questions, and organizers categorized them into themes. Participants responded to a survey ranking all research questions in the second stage. In the last, organizers analyzed the highest scored questions and arranged them into research topics in which participants worked on research proposals. The DM worked successfully with this group of participants by combining their interest in the field and engagement with the activities. The research strands and proposals of using this method are usable. The method used in this paper can serve as a model to develop research graduate courses to develop students’ skills © 2022 by the authors; licensee Modestum. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution License
Chaotic Honeybees Optimization Algorithms Approach for Traveling Salesperson Problem
(Hindawi Limited, 2022) Palominos, Pedro; Ortega, Carla; Alfaro, Miguel; Fuertes, Guillermo; Vargas, Manuel; Camargo, Mauricio; Parada, Victor; Gatica, Gustavo
Due to the difficulty in solving combinatorial optimization problems, it is necessary to improve the performance of the algorithms by improving techniques to deal with complex optimizations. This research addresses the metaheuristics of marriage in honey-bees optimization (MBO) based on the behavior of bees. The current study proposes a technique for solving combinatorial optimization problems within proper computation times. The purpose of this study focuses on the travelling salesperson problem and the application of chaotic methods in important sections of the MBO metaheuristic. Three experiments were conducted to measure the efficiency and quality of the solutions: (1) MBO with chaos to generate initial solutions (MBO2); (2) MBO with chaos in the workers (MBO3); and (3) MBO with chaos to generate initial solutions and the workers (MBO4). The application of chaotic functions in MBO was significantly better at solving the travelling salesperson problem. © 2022 Pedro Palominos et al.
Hack4women: a step in the direction of gender equality
(Lundiana, 2022) Costa-Lizama, Giannina; San-Martin, Lilian; Pinto, Oscar; Gatica, Gustavo
Women who decide to study programs related to science, technology, engineering or mathematics (STEM), are significantly less than men. In the Chile of 2020, 53.9% of enrollments in higher education institutions correspond to women. However, only 20.3% are enrolled in STEM programs. The gap is due to factors that negatively impact women before entering and during their studies. Therefore, public policies are needed to help encourage more women to study STEM-related programs, along with improving their retention rate. The objective of the research is to propose solutions that contribute to gender equity. The proposal considers a quantitative, explanatory and non-experimental methodology. Through a survey of 3500 citizens, the main conditions and challenges faced by women in STEM programs were identified. Subsequently, a quantitative analysis of the results obtained was carried out, and the main causes of the conditions can be grouped into five areas of action. Finally, Hack4women is developed as a collaborative and co-creation space, where the participation of the State, companies, citizens, academia and students is highlighted. Thus, a set of 18 proposals are generated with the objective of mitigating or providing solutions to the detected areas of action that cause the demotivation of women to study STEM careers. © 2022 Universidade Federal de Minas Gerais. All rights reserved.
Design of an Information System for optimizing the Programming of Nursing Work Shifts
(Institute of Physics Publishing, 2020) Osores F.; Cabrera G.; Linfati R.; Umãa-Ibãez S.; Coronado-Henández J.; Gatica G.
Health institutions operate twenty-four hours a day, seven days a week. They face a demand that fluctuates daily. Unlike jobs with fixed hours and obligatory days off, in health, operational continuity is required. The allocation for nursing shifts generates a rotation of people for health services according to legal and casuistic guidelines. Assigning and planning shifts results in a workload that takes an average of five to six extra hours. Existing applications offer a partial solution because they do not consider the news and contingencies of a health service. A web application is presented that, given a list of nurses, historical shifts and restrictions, a work shift planning is generated. This application comes to support the current shift allocation method based on electronic spreadsheets. The development consists of two modules. The first module has a shift allocation algorithm developed in C ++ and the second module has a graphical interface. As a case study, a set of health services from Chile and Colombia was used. The services have a defined number of nurses, who work different shifts according to the role and need of the institution. The results obtained are similar to a historical one. The proposed system takes less time and delivers various files and parameters that can be useful for nurses, the service and the health institution. © Published under licence by IOP Publishing Ltd.
Global and local spatial autocorrelation of motorcycle crashes in Chile
(SciTePress, 2019) Blazquez, Carola; Fuentes, María José
In Chile, the usage of motorcycles as a mode of transport is growing in unison with the number of crashes that have arisen in recent years. Spatial statistical methods were used in this study to determine whether motorcycle crashes showed spatial clustering over time from a global and local perspective. The global spatial autocorrelation results indicate that high intensity clusters of collisions at intersections with traffic signals and curved road sections resulting in fatalities persisted during the five-year study period. Locally, recurrent high spatial patterns of motorcycle collisions arose along straight road sections and on sunny days due to the loss of control of the vehicle, or the imprudence of the driver or pedestrian. Communes located in the centre zone of Chile, particularly in the city of Santiago and the surrounding areas, presented a large number of highly clustered crash attributes. The findings of this study may help authorities to target efforts towards policy measures to improve motorcycle safety in Chile. © 2019 by SCITEPRESS - Science and Technology Publications, Lda.
Multiprocessor scheduling meets the industrial wireless: A brief review
(Universidade do Porto - Faculdade de Engenharia, 2019) Gutiérrez-Gaitán, Miguel; Yomsi, Patrick Meumeu
This survey covers the schedulability analysis approaches that have recently been proposed for multi-hop and multi-channel wireless sensor and actuator networks in the industrial control process domain. It reviews the noticeable results with a focus on IEC 62591 (WirelessHART) and ANSI/ISA100.11a-2011 (ISA100.11a), the two major wireless standards in the process automation industry. The paper addresses the mapping of multi-channel transmission scheduling to multiprocessor scheduling theory, and recognizes this mapping as a key research direction. It also provides a taxonomy of the existing approaches and discusses the main features and recent evolutions. The survey identifies a number of open issues, key research challenges, and promising future directions. © 2019, Universidade do Porto - Faculdade de Engenharia. All rights reserved.
Modulated Model Predictive Speed Control for PMSM Drives
(IEEE, 2018) Garcia, Cristian; Rodriguez, Jose; Odhano, Shafiq; Zanchetta, Pericle; Davari, S. Alireza
Model predictive control (MPC) presents important advantages in the control of the power converter and drives such as, fast dynamic response and capability to include nonlinear constrains. These have positioned MPC as a powerful and realistic control strategy, however, it also has disadvantages such as variable switching frequency and parameter sensitivity. This paper applied a modulated model predictive speed control that guarantees a fix switching frequency and, thanks to disturbance compensation, robustness to parameters variation. The strategy is validated and compared to finite set model predictive speed control through simulation results. © 2018 IEEE.
High School Students' Perceptions about Biology, Related Influence of Factors and Players
(Institute of Electrical and Electronics Engineers Inc., 2019-03) Dominguez, Angeles; Hernandez, Itzel; Beltran-Sanchez, Jesus
Research about students' viewpoints regarding STEM fields mostly address two target groups: physics/mathematics/engineering areas and undergraduate students. The purpose of this paper is to explore 9th-grade students' perceptions about biology and some of the factors and players that influence them in pursuing an academic or professional career in these fields of knowledge. A 13-item survey graded on a 5-point Likert scale was administered to 350 Mexican students from two states, Chiapas and Nuevo Leon, as part of a broad research project that aims to determine which factors and players influence the perceptions of teenagers, from a gender perspective, about STEM fields. Results show statistically significant differences among group participants in the perceptions of the value of biology to their academic futures (T-Test, p=0.035) between genders in the state of Nuevo Leon (T-Test, p=0.037, 0.083). Results also show significant correlation between parents' levels of education and students' self-efficacy (Pearson correlations). Conclusions drawn from this paper discuss the relatedness of teenagers' STEM perceptions and their academic and professional futures with respect to gender, geographic residency, family and self-efficacy. The research also highlights the need for a profound comprehension of students' appreciation for science, technology, engineering and mathematics. © 2019 IEEE.
A new genotype-phenotype genetic algorithm for the two-dimensional strip packing problem with rotation of 90°
(Pontificia Universidad Javeriana, 2016-01) Gatica, Gustavo; Villagrán, Gonzalo; Contreras-Bolton, Carlos; Linfati, Rodrigo; Escobar, John Willmer
Given a set of rectangular pieces and a fixed width with infinite length, the strip-packing problem (SPP) of two dimensions (2D), with a rotation of pieces in 90° consists of orthogonally placing all the pieces on the strip, without overlapping them, minimizing the height of the strip used. Several algorithms have been proposed to solve this problem, being Genetic Algorithms one of the most popular approach due to it effectiveness solving NP-Hard problems. In this paper, three binary representations, and classic crossover and mutation operators are introduced. A comparison of the three binary representations on a subset of benchmarking instances is performed. The representation R2 outperforms the results obtained by representation R1 and R3. Indeed, some of the bestknown results found by previous published approaches are improved. © 2015, Pontificia Universidad Javeriana. All rights reserved.
Overview of model predictive control for induction motor drives
(Institute of Electrical and Electronics Engineers Inc., 2016-06) Zhang, Yongchang; Xia, Bo; Yang, Haitao; Rodriguez, Jose
Model predictive control (MPC) has attracted widespread attention in both academic and industry communities due to its merits of intuitive concept, quick dynamic response, multi-variable control, ability to handle various nonlinear constraints, and so on. It is considered a powerful alternative to field oriented control (FOC) and direct torque control (DTC) in high performance AC motor drives. Compared to FOC, MPC eliminates the use of internal current control loops and modulation block, hence featuring very quick dynamic response. Compared to DTC, MPC uses a cost function rather than a heuristic switching table to select the best voltage vector, producing better steady state performance. In spite of the merits above, MPC also presents some drawbacks such as high computational burden, nontrivial weighting factor tuning, high sampling frequency, variable switching frequency, model/parameter dependence and relatively high steady ripples in torque and stator flux. This paper presents the state of the art of MPC in high performance induction motor (IM) drives, and in particular the progress on solving the drawbacks of conventional MPC. Finally, one of the improved MPC is compared to FOC to validate its superiority. It is shown that the improved MPC has great potential in the future high performance AC motor drives. © 2016 IEEE. All rights reserved.
Taking the Challenge: An Exploratory Study of the Challenge-Based Learning Context in Higher Education Institutions across Three Different Continents
(MDPI, 2023-03) van den Beemt, Antoine; Vázquez-Villegas, Patricia; Gómez Puente, Sonia; O’Riordan, Fiona; Gormley, Clare; Chiang, Feng-Kuang; Leng, Chuntao; Caratozzolo, Patricia; Zavala, Genaro; Membrillo-Hernández, Jorge
Teaching by subjects and contents where students passively receive knowledge is increasingly obsolete. Universities are opting for teaching strategies supporting skills development to face the labor, social, environmental, and economic conditions afflicting us. Employers demand increasingly complex skills; universities have identified experiential learning as giving access to real situations and learning by doing. One of the most advanced strategies is Challenge-Based Learning (CBL). Through real problem situations, faculty and students collaborate to solve an established challenge, with or without external stakeholders. This educational advancement has been global and is developing graduates with international skills, which ensures a world-class standard. Here we report a global study carried out in universities from three different continents, and we analyze the implementations of CBL in educational programs through cases in Mexico, The Netherlands, Ireland, and China. Developing skills and competencies is evident, and CBL is a viable way to ensure the success of Higher Education graduates. Obstacles in the transformation of faculty towards CBL are a similar fence in all cases. For CBL, the path needs to be explored, as it is on the frontline of educational developments that can be most helpful for developing a new paradigm in education. © 2023 by the authors.
Barriers and Facilitators of Ambient Assisted Living Systems: A Systematic Literature Review
(MDPI, 2023-03) Márquez, Gastón; Taramasco, Carla
Ambient Assisted Living Systems (AALSs) use information and communication technologies to support care for the growing population of older adults. AALSs focus on providing multidimensional support to families, primary care facilities, and patients to improve the quality of life of the elderly. The literature has studied the qualities of AALSs from different perspectives; however, there has been little discussion regarding the operational experience of developing and deploying such systems. This paper presents a literature review based on the PRISMA methodology regarding operational facilitators and barriers of AALSs. This study identified 750 papers, of which 61 were selected. The results indicated that the selected studies mentioned more barriers than facilitators. Both barriers and facilitators concentrate on aspects of developing and configuring the technological infrastructure of AALSs. This study organizes and describes the current literature on the challenges and opportunities regarding the operation of AALSs in practice, which translates into support for practitioners when developing and deploying AALSs. © 2023 by the authors.

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