With the development of artificial intelligence technology, the robot arm will be applied in more fields, undertake more work, and become an important assistant of humans. Especially in the manufacturing industry, if ...
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An optimal waste collection is a very complicated task in different countries. However, this task is more intricate, when there is not an organized procedure between people, government and technology. In this research...
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ISBN:
(纸本)9781665409858
An optimal waste collection is a very complicated task in different countries. However, this task is more intricate, when there is not an organized procedure between people, government and technology. In this research it was studied and proposed strategies, to optimize the waste collection by technical suggestions, that were based on mathematical analysis and new technologies applications of sensors based on nanostructures due to this kind of sensors have good performance to measure physical variables in not simple places and conditions, such as around waste. Hence the reason, this work is prepared to contribute in the development of sensors based on nanostructures according to detect the physical variables: temperature, humidity, infrared reflection, moreover carbon dioxide (CO2) and methane (CH4) gases, which help to monitor the consequences of a not correct waste *** dependence on central and local government rules of waste management, it could be possible to find solution about organized waste collection, in which every family and walkers in streets would have the task to select the organic and inorganic garbage before the government trucks take the contents of the garbage trash cans to the landfill garbage dumps. However, many times the trash cans are not taken on time by the government trucks and garbage from them are producing gases and decomposition that causes contamination that damages health. Therefore, in this work there are proposed designed intelligent sensors, which are fixed in the trash cans due to measure physical parameters to give alarm for administrators controllers of boxes and to enhance the garbage selections from homes and streets to the main garbage landfills of the city. In other side, there will not be right solution in the waste collection, no matter the high advantage technologies, while humans could not be sensitive under this problematic. There are cleaned areas in cities, as for example touristic places, nevertheless, there
This paper presents the context of the Ubiquitous Computing course carried out in an Industrial engineering undergraduate program throughout 2020 and the first semester of 2021. This course took advantage of the Insti...
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ISBN:
(纸本)9781665424899
This paper presents the context of the Ubiquitous Computing course carried out in an Industrial engineering undergraduate program throughout 2020 and the first semester of 2021. This course took advantage of the Institutional Modernization Program led by the control and automationengineering Undergraduate Program, which consists in the modernization of undergraduate engineering programs at the Pontifical Catholic University of Paraná. The course aimed to help develop competencies, i.e., a set of knowledge, skills, and attributes aligned with Student Outcomes suggested by ABET. Also, the course proposal brought the productive sector very close to the academic environment, proposing real engineering problems as challenges. However, what are the methods and assessment tools for practical learning in a course with modern elements? This paper proposed the flipped learning and the Challenge-Based Learning Framework with the support of the CDIO Framework as learning methodologies to answer such question. Additionally, quizzes, tests, presentations, rubrics, and peer evaluation were applied as assessment tools to measure the student's progress. Finally, students were listened to about their perceptions during the course. The results suggested that the learning methodologies and assessment tools are suitable for the course context, although some improvements are expected for the following course offers. Moreover, students approved the initiative to bring in real challenges proposed by companies, the mentoring hours, and the feedback about the projects.
The current field of automotive energy recovery primarily focuses on vehicle inertia, tire motion, and component vibrations. However, the potential for collecting vibrational energy from the fluid–structure interacti...
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Noise in stochastic resonance (SR) is beneficial to enhance weak useful information and has been widely stuided and applied to real-world signal detection. In tristable SR, however, the depth of middle potential well ...
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Noise in stochastic resonance (SR) is beneficial to enhance weak useful information and has been widely stuided and applied to real-world signal detection. In tristable SR, however, the depth of middle potential well is not equal to those of both left and right potential wells and adjusting the system parameters would change the depth and width of three potential wells simultaneously. Therefore, the role of potential-well width and potential-barrier height or potential-well depth in a triple-well potential on SR has not been investigated separately yet and the effect of a both uniform depth and different depth between left/right potential well and middle well in a triple-well potential on SR has not been explored yet. Meanwhile, SR is used to weak signal detection and early fault diagnosis, but it ofter processes a complex signal into a sine shaped one, resulting in the loss of multi-harmonic signature embedded in the raw signal. To advoid this, this paper investigates underdamped SR induced by a symmetric triple-well potential with a uniform depth. Then, a SR array based noise-boosted filter bank method is proposed to enhance weak multi-harmonic fault characteristics for early fault diagnosis of machinery. Theoretical results using spectral amplification factor to quantify SR indicate that tristable SR induced by a symmetric triple-well potential with a uniform depth is supperior to that induced by a symmetric triple-well potential with a different depth, increasing the potential-well width would maximize the spectral amplification factor of the tristable SR but keep the optimal noise intensity unchange basically, and increasing the potential-well depth would decrease the spectral amplification factor of the tristable SR but enlarge the optimal noise intensity obviously. Experimental results demonstrate that the proposed method is able to enhance weak multi-harmonic fault characteristics for early fault diangosis of roller bearings. Comparing with accugram and mini
Designers physically engage with a material to experience how certain characteristics allow the fabrication of unique expressions. In digital fabrication, however, this improvisational negotiation is typically replace...
Designers physically engage with a material to experience how certain characteristics allow the fabrication of unique expressions. In digital fabrication, however, this improvisational negotiation is typically replaced by a virtual simulation that predicts how a material expression can be fabricated, limiting the resulting design language to algorithmic forms. In contrast, we believe that digital fabrication can also produce ‘emergent’ material expressions that are so confounded that they appear slightly differently even when being produced by identical operations. This paper argues that such expressions can be executed by a domain-driven feedback paradigm, which integrates a human-in-the-loop to encode the tacit fabrication knowledge that is generated by reviewing intermediate outcomes. We encode this tacit knowledge by fabrication grammars, rule-based descriptions that causally relate fabrication parameters to qualitative descriptions of material expressions. By documenting a set of Single Point Incremental Forming experiments, this paper demonstrates how emergent material expressions can be controlled by semantically meaningful fabrication grammars, which even can be combined towards purposeful design goals. We believe our findings might allow the digital fabrication of material expressions that appear to have been produced manually or naturally; and support the future sharing of tacit fabrication knowledge.
This paper proposes a Nonlinear Model-Predictive control (NMPC) method capable of finding and converging to energy-efficient regular oscillations, which require no control action to be sustained. The approach builds u...
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ISBN:
(数字)9781665467612
ISBN:
(纸本)9781665467629
This paper proposes a Nonlinear Model-Predictive control (NMPC) method capable of finding and converging to energy-efficient regular oscillations, which require no control action to be sustained. The approach builds up on the recently developed Eigenmanifold theory, which defines the sets of line-shaped oscillations of a robot as an invariant two-dimensional submanifold of its state space. By defining the control problem as a nonlinear program (NLP), the controller is able to deal with constraints in the state and control variables and be energy-efficient not only in its final trajectory but also during the convergence phase. An initial implementation of this approach is proposed, analyzed, and tested in simulation.
Obstacle avoidance methods play a vital role in robotic navigation tasks. In this work, we are proposing a novel obstacle avoidance framework for mobile robots equipped with 2d lidars. This method is inspired by previ...
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ISBN:
(数字)9781728156354
ISBN:
(纸本)9781728156361
Obstacle avoidance methods play a vital role in robotic navigation tasks. In this work, we are proposing a novel obstacle avoidance framework for mobile robots equipped with 2d lidars. This method is inspired by previously proposed methods: FGM, SND and their variants. In this work, FGM-I was used as a base. FGM-I was selected for its easy applicability and adequate performance on moderate problems. However, there are certain drawbacks associated with the use of this algorithm in cluttered environments. This method suffers from narrow openings and not having a collision checking procedure. To increase the navigation safety and control robustness, proposed FGM-I2 method uses extra avoidance functions and control procedures. The results of this study indicate that according to overall results, FGM-I2 outperforms four different FGM and SND variants when evaluated w.r.t safety and speed.
In the study, a low-cost acoustic system which classifies different roads using acoustic signal processing tool is proposed (group1 road types: asphalt, gravel, stony and snowy road;group2 road types: asphalt data wit...
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Derived from the current implementation of the production plan as well as the production schedule, Enterprise Resource Planning software with a built-in production scheduling algorithm helps optimize the uses of resou...
Derived from the current implementation of the production plan as well as the production schedule, Enterprise Resource Planning software with a built-in production scheduling algorithm helps optimize the uses of resources, reduce production time, increase productivity, and increase customer service levels. In this research, the available management platform (Odoo) with Python as the main programming language is proposed to build a system to support suitable schedule production plans helps shorten processing time and reduce order delay. In addition, the results are shown in detail and can be flexibly modified manually on the Gantt chart. The feasibility of the production scheduling application is shown by the Gantt chart before and after the scheduling. Moreover, the order delay rate has been reduced from 15% to 3.33%.
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