{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T13:33:57Z","timestamp":1762522437443,"version":"build-2065373602"},"reference-count":66,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2020,2,27]],"date-time":"2020-02-27T00:00:00Z","timestamp":1582761600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002322","name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","doi-asserted-by":"publisher","award":["304783\/2017-0"],"award-info":[{"award-number":["304783\/2017-0"]}],"id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003593","name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","doi-asserted-by":"publisher","award":["315513\/2018-7"],"award-info":[{"award-number":["315513\/2018-7"]}],"id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>In control engineering education, the possibility of using a real control system in the learning process motivates professors to improve both students\u2019 knowledge and skills, thus avoiding an approach only based on control theory. While considering that control engineering laboratories are expensive, mainly because educational plants should reproduce classical problems that are found in the industry, the use of virtual laboratories appears as an interesting strategy for reducing costs and improving the diversity of experiments. In this research, remote experimentation was assumed regarding the ball and beam process as an alternative didactic methodology. While assuming a nonlinear and unstable open-loop process, this study presents how students should proceed to control the plant focusing on the topic that is associated with multiobjective optimization. Proportional-Integral-Derivative (PID) controller was tuned considering the Non-dominated Sorting Genetic Algorithm (NSGA-II) to illustrate the WebLab learning procedures described in this research. The proposed strategy was compared to the \u00c5str\u00f6m\u2019s robust loop shaping method to emphasize the performance of the multiobjective optimization technique. Analyzing the feedback provided by the students, remote experimentation can be seen as an interesting approach for the future of engineering learning, once it can be directly associated with industry demand of connected machines and real-time information analysis.<\/jats:p>","DOI":"10.3390\/info11030132","type":"journal-article","created":{"date-parts":[[2020,2,28]],"date-time":"2020-02-28T09:30:36Z","timestamp":1582882236000},"page":"132","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["A Generic WebLab Control Tuning Experience Using the Ball and Beam Process and Multiobjective Optimization Approach"],"prefix":"10.3390","volume":"11","author":[{"given":"Ricardo Massao","family":"Kagami","sequence":"first","affiliation":[{"name":"Industrial and Systems Engineering Graduate Program\u2013PPGEPS, Polytechnic School, Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1\u2013PUCPR, Curitiba 80215-901, Brazil"}]},{"given":"Guinther Kovalski","family":"da Costa","sequence":"additional","affiliation":[{"name":"Control and Automation Engineering Department, Polytechnic School, Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1\u2013PUCPR, Curitiba 80215-901, Brazil"}]},{"given":"Thiago Schaedler","family":"Uhlmann","sequence":"additional","affiliation":[{"name":"Industrial and Systems Engineering Graduate Program\u2013PPGEPS, Polytechnic School, Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1\u2013PUCPR, Curitiba 80215-901, Brazil"}]},{"given":"Luciano Ant\u00f4nio","family":"Mendes","sequence":"additional","affiliation":[{"name":"Industrial and Systems Engineering Graduate Program\u2013PPGEPS, Polytechnic School, Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1\u2013PUCPR, Curitiba 80215-901, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9041-8782","authenticated-orcid":false,"given":"Roberto Zanetti","family":"Freire","sequence":"additional","affiliation":[{"name":"Industrial and Systems Engineering Graduate Program\u2013PPGEPS, Polytechnic School, Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1\u2013PUCPR, Curitiba 80215-901, Brazil"}]}],"member":"1968","published-online":{"date-parts":[[2020,2,27]]},"reference":[{"key":"ref_1","unstructured":"Ogata, K. (2010). Modern Control Engineering, Pearson. [5th ed.]."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Hern\u00e1ndez-Guzm\u00e1n, V.M., and Silva-Ortigoza, R. (2019). Automatic Control with Experiments, Springer International Publishing. Advanced Textbooks in Control and Signal Processing.","DOI":"10.1007\/978-3-319-75804-6"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"652","DOI":"10.1016\/j.chb.2014.12.048","article-title":"Enhancing students\u2019 learning process through interactive digital media: New opportunities for collaborative learning","volume":"51","author":"Gan","year":"2015","journal-title":"Comput. Hum. Behav."},{"key":"ref_4","unstructured":"Roberto, J., Pe\u00f1a, Q., Oliveira, J., Leonel, M., Henrique, L., and Rodrigues, N. (2018, January 17\u201320). Active Methodologies in Education of Electronic Instrumentation Using Virtual Instrumentation Platform Based on Labview and Elvis II. Proceedings of the 2018 IEEE Global Engineering Education Conference (EDUCON), Islas Canarias, Spain."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Maskeliunas, R., Dama\u0161evi\u010dius, R., Lethin, C., Paulauskas, A., Esposito, A., Catena, M., and Aschettino, V. (2019). Serious game iDO: Towards better education in dementia care. Information, 10.","DOI":"10.3390\/info10110355"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Araujo, V., Mendez, D., and Gonzalez, A. (2019). A Novel Approach to Working Memory Training Based on Robotics and AI. Information, 10.","DOI":"10.3390\/info10110350"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Cheng, K.W.E., and Chan, C.L. (2019). Remote hardware controlled experiment virtual laboratory for undergraduate teaching in power electronics. Educ. Sci., 9.","DOI":"10.3390\/educsci9030222"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1205\/ece06018","article-title":"Weblabs in Chemical Engineering Education","volume":"2","author":"Selmer","year":"2007","journal-title":"Educ. Chem. Eng."},{"key":"ref_9","first-page":"5273","article-title":"Research Landscape in Brazil: Challenges and Opportunities","volume":"120","author":"Oliveira","year":"2016","journal-title":"J. Phys. Chem."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1007\/s11465-018-0499-5","article-title":"Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives","volume":"13","author":"Zheng","year":"2018","journal-title":"Front. Mech. Eng."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Raz, A.K., Blasch, E., Cruise, R., and Natarajan, S. (2019). Enabling Autonomy in Command and Control Via Game-Theoretic Models and Machine Learning with a Systems Perspective. AIAA Scitech Forum.","DOI":"10.2514\/6.2019-0381"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Carreras Guzman, N.H., and Mezovari, A.G. (2019). Design of IoT-based Cyber\u2014Physical Systems: A Driverless Bulldozer Prototype. Information, 10.","DOI":"10.3390\/info10110343"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"934","DOI":"10.1109\/TII.2015.2443721","article-title":"The Ball and Beam System: A Case Study of Virtual and Remote Lab Enhancement With Moodle","volume":"11","author":"Guinaldo","year":"2015","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1109\/9.119645","article-title":"Nonlinear control via approximate input-output linearization: The ball and beam example","volume":"37","author":"Hauser","year":"1992","journal-title":"IEEE Trans. Automat. Control"},{"key":"ref_15","unstructured":"Chang, B.C., Kwtany, H., and Hu, S.-S. (1998, January 4). An Application of Robust Feedback Linearization to a Ball and Beam Control Problem. Proceedings of the IEEE International Conference on Control Applications, Trieste, Italy."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1109\/91.705510","article-title":"Decoupled Fuzzy Sliding-Mode Control","volume":"6","author":"Lo","year":"1998","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"ref_17","first-page":"21","article-title":"Stability Control of Ball and Beam System Using Heuristic Computation Based PI-D and PI-PD Controller","volume":"24","author":"Ali","year":"2019","journal-title":"Tech. J. Univ. Eng. Technol."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1080\/21642583.2019.1575297","article-title":"Position control for ball and beam system based on active disturbance rejection control","volume":"7","author":"Ding","year":"2019","journal-title":"Syst. Sci. Control Eng."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1007\/s11071-009-9534-8","article-title":"On the sliding mode control of a Ball on a Beam system","volume":"59","author":"Almutairi","year":"2010","journal-title":"Nonlinear Dyn."},{"key":"ref_20","first-page":"14","article-title":"Modeling and control of ball and beam system using model based and non-model based control approaches","volume":"5","author":"Keshmiri","year":"2012","journal-title":"Int. J. Smart Sens. Intell. Syst."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2251","DOI":"10.1109\/TIE.2012.2192891","article-title":"Fuzzy Model-Based Adaptive Dynamic Surface Control for Ball and Beam System","volume":"60","author":"Chang","year":"2013","journal-title":"IEEE Trans. Ind. Electron."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Osinski, C., La, A., and Silveira, R. Control of Ball and Beam System Using Fuzzy PID Controller. Proceedings of the 2018 13th IEEE International Conference on Industry Applications (INDUSCON), S\u00e3o Paulo, Brazil, 12\u201314 November 2018.","DOI":"10.1109\/INDUSCON.2018.8627251"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1023\/A:1008202821328","article-title":"Differential Evolution\u2014A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces","volume":"11","author":"Storn","year":"1997","journal-title":"J. Glob. Optim."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Shah, M., Ali, R., and Malik, F.M. (2018, January 12\u201313). Control of Ball and Beam with LQR Control Scheme using Flatness Based Approach. Proceedings of the 2018 International Conference on Computing, Electronic and Electrical Engineering (ICE Cube), Quetta, Pakistan.","DOI":"10.1109\/ICECUBE.2018.8610968"},{"key":"ref_25","unstructured":"Tecquipment Academia (1993). Ball and beam apparatus. CE106: User manual, Tecquipment."},{"key":"ref_26","first-page":"1237","article-title":"Relay Approach for tuning of PID controller","volume":"3","author":"Khalore","year":"2012","journal-title":"Int. J. Comput. Technol. Appl."},{"key":"ref_27","unstructured":"\u00c5str\u00f6m, K.J. (1995). PID controllers: Theory, Design and Tuning, Instrument society of America."},{"key":"ref_28","first-page":"9","article-title":"PID, I-PD and PD-PI controller design for the ball and beam system: A comparative study","volume":"9","author":"Sain","year":"2016","journal-title":"Int. J. Control Theory Appl."},{"key":"ref_29","unstructured":"\u00c5str\u00f6m, K., and H\u00e4gglund, T. (2006). Advanced PID Control, ISA\u2014Instrumentation Systems and Automation Society."},{"key":"ref_30","unstructured":"Goldberg, D.E. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley. [2nd ed.]."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.ifacol.2019.09.122","article-title":"Control of a Refrigeration System Benchmark Problem: An Approach based on COR Metaheuristic Algorithm and TOPSIS Method","volume":"52","author":"Kagami","year":"2019","journal-title":"IFAC-PapersOnLine"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1007\/s00158-003-0368-6","article-title":"Survey of multi-objective optimization methods for engineering","volume":"26","author":"Marler","year":"2004","journal-title":"Struct. Multidiscip. Optim."},{"key":"ref_33","first-page":"19","article-title":"Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems","volume":"7","year":"2016","journal-title":"Int. J. Ind. Eng. Comput."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Tangherloni, A., Rundo, L., and Nobile, M.S. (2017, January 5\u20138). Proactive Particles in Swarm Optimization: A Settings-Free Algorithm for Real-Parameter Single Objective Optimization Problems. Proceedings of the 2017 IEEE Congress on Evolutionary Computation (CEC), San Sebastian, Spain.","DOI":"10.1109\/CEC.2017.7969538"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Rueda, J., and Erlich, I. (2018, January 8\u201313). Hybrid Population Based MVMO for Solving CEC 2018 Test Bed of Single-Objective Problems. Proceedings of the 2018 IEEE Congress on Evolutionary Computation (CEC), Rio de Janeiro, Brazil.","DOI":"10.1109\/CEC.2018.8477822"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Fan, Z., Fang, Y., Li, W., Yuan, Y., Wang, Z., and Bian, X. (2018, January 8\u201313). LSHADE44 with an Improved \u03f5 Constraint-Handling Method for Solving Constrained Single-Objective Optimization Problems. Proceedings of the 2018 IEEE Congress on Evolutionary Computation, Rio de Janeiro, Brazil.","DOI":"10.1109\/CEC.2018.8477943"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"31305","DOI":"10.1109\/ACCESS.2019.2900925","article-title":"Hunting optimization: An new framework for single objective optimization problems","volume":"7","author":"Zhao","year":"2019","journal-title":"IEEE Access"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Azlan, N.A., and Yahya, N.M. (2019, January 8\u20139). Modified Adaptive Bats Sonar Algorithm with Doppler Effect Mechanism for Solving Single Objective Unconstrained Optimization Problems. Proceedings of the 2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA), Penang, Malaysia.","DOI":"10.1109\/CSPA.2019.8696057"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1007\/s10898-016-0427-3","article-title":"A Bayesian approach to constrained single- and multi-objective optimization","volume":"67","author":"Feliot","year":"2017","journal-title":"J. Glob. Optim."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"3067","DOI":"10.1109\/TCYB.2017.2756874","article-title":"Adaptive gradient multiobjective particle swarm optimization","volume":"48","author":"Han","year":"2017","journal-title":"IEEE Trans. Cybern."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Azwan, A., Razak, A., Jusof, M.F.M., Nasir, A.N.K., and Ahmad, M.A. (2018, January 13\u201317). A multiobjective simulated Kalman filter optimization algorithm. Proceedings of the 2018 IEEE International Conference on Applied System Invention (ICASI), Chiba, Japan.","DOI":"10.1109\/ICASI.2018.8394257"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1007\/s12293-017-0237-2","article-title":"Hybrid multi-objective cuckoo search with dynamical local search","volume":"10","author":"Zhang","year":"2018","journal-title":"Memetic Comput."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Antunes, C.H., Alves, M.J., and Cl\u00edmaco, J. (2016). Multiobjective Linear and Integer Programming, Springer International Publishing.","DOI":"10.1007\/978-3-319-28746-1_6"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1109\/TCST.2012.2185698","article-title":"Controller tuning by means of multi-objective optimization algorithms: A global tuning framework","volume":"21","author":"Sanchis","year":"2013","journal-title":"IEEE Trans. Control Syst. Technol."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Miettinen, K. (1998). Nonlinear Multiobjective Optimization, Springer.","DOI":"10.1007\/978-1-4615-5563-6"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1504\/IJBIC.2019.101640","article-title":"A review of multi-objective optimisation and decision making using evolutionary algorithms","volume":"14","author":"Ojha","year":"2019","journal-title":"Int. J. Bio-Inspired Comput."},{"key":"ref_47","unstructured":"Coello, C.C.A., Lamont, G.B., and Van Veldhuizen, D.A. (2007). Evolutionary Algorithms for Solving Multi-Objective Problems, Springer."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Reynoso-Meza, G., Blasco Ferragud, X., Sanchis Saez, J., and Herrero Dur\u00e1, J.M. (2017). Controller Tuning with Evolutionary Multiobjective Optimization, Springer International Publishing. Intelligent Systems, Control and Automation: Science and Engineering.","DOI":"10.1007\/978-3-319-41301-3"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Yano, H. (2017). Interactive Multi-Objective Decision Making under Uncertainty, CRC Press.","DOI":"10.1201\/9781315466049"},{"key":"ref_50","unstructured":"Ljung, L. (1987). System Identification: Theory for the User, PTR Prentice-Hall."},{"key":"ref_51","unstructured":"Reynoso-Meza, G. (2014). Controller Tuning by Means of Evolutionary Multiobjective Optimization: A Holistic Multiobjective Optimization Design Procedure, Universitat Polit\u00e8cnica de Val\u00e8ncia."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1016\/j.energy.2017.02.174","article-title":"Review: Multi-objective optimization methods and application in energy saving","volume":"125","author":"Cui","year":"2017","journal-title":"Energy"},{"key":"ref_53","unstructured":"Das, I., and Dennis, J. (1996). Normal-Boundary Intersection: An Alternate Method for Generating Pareto Optimal Points in Multicriteria Optimization. Nasa Contract. Rep."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1023\/A:1021179727569","article-title":"Generating well-distributed sets of pareto points for engineering design using physical programming","volume":"3","author":"Messac","year":"2002","journal-title":"Optim. Eng."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1007\/s00158-002-0276-1","article-title":"The normalized normal constraint method for generating the Pareto frontier","volume":"25","author":"Messac","year":"2003","journal-title":"Struct. Multidiscip. Optim."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Gunantara, N. (2018). A review of multi-objective optimization: Methods and its applications. Cogent Eng., 5.","DOI":"10.1080\/23311916.2018.1502242"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/4235.996017","article-title":"A fast and elitist multiobjective genetic algorithm: NSGA-II","volume":"6","author":"Deb","year":"2002","journal-title":"IEEE Trans. Evol. Comput."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Huo, J., and Liu, L. (2017). An improved multi-objective artificial bee colony optimization algorithm with regulation operators. Information, 8.","DOI":"10.3390\/info8010018"},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Yu, X., and Estevez, C. (2018). Adaptive multiswarm comprehensive learning particle swarm optimization. Information, 9.","DOI":"10.3390\/info9070173"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1237","DOI":"10.1016\/S1574-0005(05)80067-0","article-title":"Cooperative Models of Bargaining","volume":"Volume 2","author":"Aumann","year":"1994","journal-title":"Handbook of Game Theory with Economic Applications"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"931","DOI":"10.1109\/JPROC.2008.921607","article-title":"The iLab Shared Architecture: A Web Services Infrastructure to Build Communities of Internet Accessible Laboratories","volume":"96","author":"Harward","year":"2008","journal-title":"Proc. IEEE"},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Uhlmann, T.S., Lima, H.D., Luppi, A.L., and Mendes, L.A. (2019, January 12\u201314). ELSA-SP-Through-The-Cloud Subscribe-Publish Scheme for Interactive Remote Experimentation under iLab Shared Architecture and Its Application to an Educational PID Control Plant. Proceedings of the 2019 5th Experiment at International Conference, exp.at 2019, Funchal, Portugal.","DOI":"10.1109\/EXPAT.2019.8876567"},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"O\u2019Dwyer, A. (2009). Handbook of PI and PID Controller Tuning Rules, Imperial College Press. [3rd ed.].","DOI":"10.1142\/9781848162433"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1504\/IJPEC.2018.092687","article-title":"Design of new controller for load frequency control of isolated microgrid considering system uncertainties","volume":"9","author":"Esmaeili","year":"2018","journal-title":"Int. J. Power Energy Convers."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"4971","DOI":"10.3233\/JIFS-169781","article-title":"Multi-objective non dominated sorting genetic algorithm-II optimized PID controller for automatic voltage regulator systems","volume":"35","author":"Yegireddy","year":"2018","journal-title":"J. Intell. Fuzzy Syst."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"1023","DOI":"10.1177\/0954407017753446","article-title":"NSGA-II multi-objectives optimization algorithm for energy management control of hybrid electric vehicle","volume":"233","author":"Deng","year":"2019","journal-title":"Proc. Inst. Mech. Eng. Part D J. Automob. Eng."}],"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/11\/3\/132\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T09:02:05Z","timestamp":1760173325000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/11\/3\/132"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2,27]]},"references-count":66,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2020,3]]}},"alternative-id":["info11030132"],"URL":"https:\/\/doi.org\/10.3390\/info11030132","relation":{},"ISSN":["2078-2489"],"issn-type":[{"type":"electronic","value":"2078-2489"}],"subject":[],"published":{"date-parts":[[2020,2,27]]}}}