作者：
Oliveira, VitorBrazil, GustavoRodrigues, PauloAlmeida, PedroInstituto Superior de Engenharia de Lisboa
Avenida Conselheiro Emídio Navarro No. 1 Lisboa 1059-007 Portugal CeFEMA
Center of Physics and Engineering of Advanced Materials Instituto Superior de Engenharia de Lisboa Avenida Conselheiro Emídio Navarro No. 1 Lisboa 1059-007 Portugal CENIMAT
Faculdade de Ciências e Tecnologia Universidade Nova de Lisboa Campus da Caparica Caparica 2829-516 Portugal
We present a low-cost experimental apparatus designed for studying the rotational dynamics of a meter stick. This apparatus uses everyday laboratory supplies, 3D printed parts, and an arduino board for data acquisitio...
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Energy-saving potential in lighting is significant in office buildings due to their primary occupancy during the daytime. This potential can be realised with an advanced daylighting system being particularly able to d...
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Energy-saving potential in lighting is significant in office buildings due to their primary occupancy during the daytime. This potential can be realised with an advanced daylighting system being particularly able to deliver more uniform and steadier illumination. This paper presents prototyping and experimental validation of an automated louver with parametrically-angled reflective slats, in order to reflect sunlight to evenly distributed target positions on a ceiling. The illuminated ceiling acts as a source of diffuse light to the room. The physical rotation of the automated louver is controlled parametrically using Grasshopper software together with arduino board, motors for the motion and illuminance sensors. Validation is an essential stage to ensure the performance of such systems. Two prototypes of the proposed system with different scales are presented, 1:20 and 1:1 scaled mock-ups. The monitoring results verify the principle and aim of the proposed design, i.e., more uniform and distributed daylight illumination, automation control method besides its practicality. (C) 2020 Elsevier B.V. All rights reserved.
Solar irradiation is a green and sustainable renewable energy source which is largely harnessed through photovoltaic and thermal cell surfaces. It is one of the fastest growing clean power technologies with high-globa...
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Solar irradiation is a green and sustainable renewable energy source which is largely harnessed through photovoltaic and thermal cell surfaces. It is one of the fastest growing clean power technologies with high-global growth figures, due to its simplicity, affordability and abundant availability. Solar power systems is one of the fastest growing interventions augmenting fossil power and its application is now expanding beyond domestic utilization to commercial and industrial dependence. Due to continuous change in the position of the sun together with other salient factors, only a fraction of the suns energy potential is harnessed. The paper is focused on sharing an optimization option that has effectively addressed a major gap experienced in conventional solar power system installation as applicable to light emitting diodes traffic light systems. The continuous movement of the sun limits maximum sun light irradiation absorption and solar trackers are practical solutions to this drawback. The high cost of solar trackers has however been the major limitation to their adoption. The Introduction of microcontroller-based solar tracking systems using arduino board was found to be cost effective, and it improved the efficiency of the solar cells significantly. In the study, the maximum power point tracking algorithm was designed and developed using multiple-axis servo-motor feedback tracking system, which increased the efficiency of the solar panel array by 23.95%.
This article describes a simple setup of electrospinning using widely available resources. The arduino board, an electronic platform that is commonly accessible was adapted for a controller. Specifically, recycled par...
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The paper presents proposal of practical implementation simple IoT gateway based on arduino microcontroller, dedicated to use in home IoT environment. Authors are concentrated on research of performance and security a...
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ISBN:
(纸本)9781509000463
The paper presents proposal of practical implementation simple IoT gateway based on arduino microcontroller, dedicated to use in home IoT environment. Authors are concentrated on research of performance and security aspects of created system. By performed load tests and denial of service attack were investigated performance and capacity limits of implemented gateway.
The current work concentrates on the conception, design, and implementation of an intelligent multi-input multi-output fuzzy logic controller for the energy management of a hybrid renewable energy system including sol...
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The current work concentrates on the conception, design, and implementation of an intelligent multi-input multi-output fuzzy logic controller for the energy management of a hybrid renewable energy system including solar power and storage battery in laboratory dimensions. In proposed topology, to guarantee the sustainability of accessing electricity in the case of peak time and different weather conditions, connection to the power grid is considered, as well. The experimental effort is based on the powerful arduino boards that attempted to provide a software and hardware prototype platform for the further worldwide development of using renewable energy resources. The main purpose of the designed intelligent fuzzy controller is to extract instantaneously the generated power by the solar panel to keep the storage battery adequately charged for various conditions of the system and ensure the reduction of grid electricity consumption. The proposed intelligent multi-input multi-output fuzzy controller has been attained and verified through simulation and experimental examinations, the output control signals are investigated and the hybrid renewable energy system performance ratio is underscored.
This study investigates the potential of deploying a neural network model on an advanced programmable logic controller (PLC), specifically the Finder Opta (TM), for real-time inference within the predictive maintenanc...
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This study investigates the potential of deploying a neural network model on an advanced programmable logic controller (PLC), specifically the Finder Opta (TM), for real-time inference within the predictive maintenance framework. In the context of Industry 4.0, edge computing aims to process data directly on local devices rather than relying on a cloud infrastructure. This approach minimizes latency, enhances data security, and reduces the bandwidth required for data transmission, making it ideal for industrial applications that demand immediate response times. Despite the limited memory and processing power inherent to many edge devices, this proof-of-concept demonstrates the suitability of the Finder Opta (TM) for such applications. Using acoustic data, a convolutional neural network (CNN) is deployed to infer the rotational speed of a mechanical test bench. The findings underscore the potential of the Finder Opta (TM) to support scalable and efficient predictive maintenance solutions, laying the groundwork for future research in real-time anomaly detection. By enabling machine learning capabilities on compact, resource-constrained hardware, this approach promises a cost-effective, adaptable solution for diverse industrial environments.
One of the major challenges in the science of maxillofacial radiology imaging is the various artifacts created in images taken by cone beam computed tomography (CBCT) imaging systems. Among these artifacts, motion art...
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One of the major challenges in the science of maxillofacial radiology imaging is the various artifacts created in images taken by cone beam computed tomography (CBCT) imaging systems. Among these artifacts, motion artifact, which is created by the patient, has adverse effects on image quality. In this paper, according to the conditions and limitations of the CBCT imaging room, the goal is the design and development of a cable-driven parallel robot to create repeatable movements of a dry skull inside a CBCT scanner for studying motion artifacts and building up reference datasets with motion artifacts. The proposed robot allows a dry skull to execute motions, which were selected on the basis of clinical evidence, with 3-degrees of freedom during imaging in synchronous manner with the radiation beam. The kinematic model of the robot is presented to investigate and describe the correlation between the amount of motion and the pulse width applied to DC motors. This robot can be controlled by the user through a smartphone or laptop wirelessly via a Wi-Fi connection. Using wireless communication protects the user from harmful radiation during robot driving and functioning. The results show that the designed robot has a reproducibility above 95% in performing various movements.
Information and communication technologies have aided advancements in providing a healthy and safe working environment at the workplace. Using ICT-based Personal Protective Equipment (PPE) minimizes the likelihood of ...
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Information and communication technologies have aided advancements in providing a healthy and safe working environment at the workplace. Using ICT-based Personal Protective Equipment (PPE) minimizes the likelihood of workplace accidents due to the technology embedded equipment able to make decisions based on environmental factors. The Internet of Things (IoT) and Communication Technologies enable the generation of PPE models and devices with innovative features such as environmental sensing, monitoring, and risk identification, among others. Human resources working underground are confronted with various real-time issues resulting in significant health problems or even death. Human resources involved in working underground are confronted with various real-time issues that can result in significant health problems or even death. Mine workers are particularly vulnerable to toxic gases and changes in ambient conditions such as temperature, humidity, and so on. Various warning generation devices have been created, with a few implanted in mining fields. Existing warning generation systems are ineffective in protecting and saving workers' life pneumoconiosis diseases. They cannot recognize health symptoms that occur in real-time, such as choking, heart rate fluctuations, and others. The proposed work emphasizes the development of a real-time surveillance helmet that incorporates IoT Sensors that can rescue with early-warning intelligence on the presence of fire, silicosis dust particles, temperature, harmful gases, and others that will reduce worker health risks. A builtin GPS tracker will aid in tracking the miner's current location. Proposed work will reduce the number of hazardous accidents and deaths in such areas. Based on the accuracy parameter, this work is evaluated in three different working environments. According to the analysis, the proposed prototype's accuracy in the coal mine working environment is approximately 96 percent, 99 percent in the indoor, and 97
Rapid expansion in the quantity and variety of solid and hazardous waste because of ongoing economic development, urbanization, and industrialization is posing a growing challenge for national and municipal government...
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