Topic mechatronics

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Presentazione di Gianpiero Negri, durante il suo talk dal titolo "Maccatronica, macchine intelligenti e nuove frontiere". L'incontro si è tenuto il giorno 24 Gennaio 2015 all'interno del progetto SSC (Scientific Storming Café). Durante il seminario sono stati illustrati i concetti principali e la definizioni della Meccatronica. Ci si è concentrati in particolare nelle applicazioni di questa disciplina con esempi concreti e tramite l'illustrazione di software specifici (come Simulink, Scilab e Modelica). In conclusione si è parlato di intelligenza artificiale, di biomeccatronica, e sistemi di sicurezza meccatronici e, in generale, di tutte le nuove frontiere di questa disciplina. Nell'ultima slide tutti i riferimenti per poter approfondire le nozioni presentate.

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Mechatronics Engineering is concerned with the design of automated machines. It is based on a combination of mechanical, electronics, communication system, control system and software engineering, but is a distinctly different discipline to all three. Mechatronics engineering differs from automation engineering in that its practitioners have a deep understanding of the performance analysis and design of complex machines. It differs from mechanical engineering in that its practitioners understand how automations can be designed and integrated into a machine very effectively to achieve an outcome. Mechatronic engineers can work with electrical and mechanical systems together and solve problems that cross discipline boundaries. Their strength in IT, computer hardware and networking, as well as software, also helps them to be very versatile problem solvers. Writing and testing software for specialized computer systems and micro-controllers forms a major part of the work of many mechatronics engineers.

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International Journal of Automation & Computer Applications(IJACA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Automation & Computer Applications . The journal focuses on all technical and practical aspects of Automation & Computer Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Automation & Computer Applications and establishing new collaborations in these areas.

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The International Journal of Chaos, Control, Modelling and Simulation is a Quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Chaos Theory, Control Systems, Scientific Modelling and Computer Simulation. In the last few decades, chaos theory has found important applications in secure communication devices and secure data encryption. Control methods are very useful in several applied areas like Chaos, Automation, Communication, Robotics, Power Systems, and Biomedical Instrumentation. The journal focuses on all technical and practical aspects of Chaos, Control, Modelling and Simulation. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on chaotic systems and applications, control theory, process control, automation, modelling concepts, computational methods, computer simulation and establishing new collaborations in these areas.

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International Journal of Automation and Computing(IJAMC) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Automation and Computing. The journal focuses on all technical and practical aspects of Automation and Computing. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Automation and Computing concepts and establishing new collaborations in these areas.

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In BC’s nearly-decade-old “new” curriculum, the curricular competencies describe the processes that students are expected to develop in areas of learning such as mathematics. They reflect the “Do” in the “Know-Do-Understand” model. Under the “Communicating” header falls the curricular competency “Explain and justify mathematical ideas and decisions.” Note that it contains two processes: “Explain mathematical ideas” and “Justify mathematical decisions.” I have broken it down into its separate parts in order to understand--or reveal--its meaning. The first part is commonplace in classrooms. By now, BC math teachers—and students—understand that “Explain mathematical ideas” means more than “Show your work.” Teachers consistently ask “What did you do?” and “How do you know?” This process is about retelling, not just of steps but of thinking. The second part happens less frequently. Think back to the last time that you observed a student make—a necessary precursor to justify—a mathematical decision. “Justify” is about defending. Like “explain,” it involves reasoning; unlike “explain,” it also involves opinion and debate. In order to reinterpret the curricular competency “Explain and justify mathematical ideas and decisions,” I will continue to take apart its constituent part “Justify mathematical decisions” and carefully examine the term “mathematical decisions.” What, exactly, is a “mathematical decision”? Below, I will categorize answers to this question. These categories, and the provided examples, may help to suggest new opportunities for students to justify.

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