Building Wearables for Geology

Delabrida, Saul; D'Angelo, Thiago; Oliveira, Ricardo Augusto Rabelo; Loureiro, Antônio A. F.

doi:10.1145/2903267.2903275

Cited by 17 publications

(4 citation statements)

References 36 publications

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“…The portable electronic and wearable electronic devices are widely used for environmental and healthcare monitoring in order to support the needs of the end-users. [1][2][3][4][5][6] With the rapid growth of these sensing devices, the demand for the portable and sustainable power supply devices has also increased dedicated to hybridizing solar cells with rain energy harvesters since the supply of solar energy is severely reduced on rainy days. [27][28][29][30][31][32] The TENGs and PENGs can convert electro-static energy and mechanical impact energy of raindrops into electrical energy, respectively.…”

Section: Introductionmentioning

confidence: 99%

Flexible Hybrid Nanogenerator for Self‐Powered Weather and Healthcare Monitoring Sensor

Lee

Kim

2021

Adv Elect Materials

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The reliability of energy supplies is required for sensing devices to collect data continuously in long-term monitoring. [7] Rechargeable batteries are unable to meet the sustainable energy demand due to their inherent defects of limited working time period. Furthermore, bulky and rigid power supply devices are inappropriate for portable and wearable electronics that require lightness and flexibility. [8] The self-powered sensors based on energy harvesting technology are an attractive alternative for powering these portable and wearable electronic devices. [9][10] The energy harvesting is the conversion of ambient energy into electrical energy. Due to the cost-effectiveness and high output characteristics, solar cells that convert solar energy into electricity have become the most widely used energy harvesting devices. However, on cloudy, rainy days, or at night, the supply of solar energy is severely reduced. Moreover, the contaminants on the surface of the solar cell can degrade the energy conversion efficiency of a solar cell. [11] To address these issues, solar cells can be integrated with other suitable energy harvesters to sustainably generate electricity under various environmental conditions.The mechanical energy from rain drops, wind flowing, or the human body can be great energy resources since these energies are eco-friendly and widely distributed in the living environment. The triboelectric nanogenerators (TENGs) and piezoelectric nanogenerators (PENGs) can harvest these energy resources. The TENGs are based on the coupling of contact electrification and electrostatic induction. [12][13] In earlier research, the water demonstrated to be one of the materials to generate triboelectricity and the contact-electrification on the solid/liquid interfaces was also studied. [14] On the other hand, the PENGs can generate electrical power under a tiny deformation. [15] The TENGs and PENGs are easy to be integrated with other energy harvesters and show the advantages of low cost and small volume. [9,15] Thus, many researchers have published papers about hybridization of the solar cells-TENGs or the solar cells-PENGs. [16][17][18][19][20][21][22][23][24] To sustainably generate energy from various energy sources, the solar cells were integrated with other types of energy harvesters, such as triboelectric wind energy harvesters or wearable triboelectric human-body energy harvesters. [25][26] Particularly, the tremendous efforts have been Nowadays, people can receive several types of information from portable and wearable devices. However, the limited working time period, rigid characteristic, and bulky size of the conventional power sources need to be improved for rocketing the compatibility with portable and wearable devices. In this paper, a flexible hybrid nanogenerator (FHNG) is presented by combining a solar cell, a transparent triboelectric nanogenerator (TENG), and a piezoelectric nanogenerator (PENG). The FHNG can sustainably collect energy from various energy sources. The FHNG can act as a self-powered wea...

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Section: Introductionmentioning

confidence: 99%

Flexible Hybrid Nanogenerator for Self‐Powered Weather and Healthcare Monitoring Sensor

Lee

Kim

2021

Adv Elect Materials

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“…Some solutions tend to claim fewer resources, while other ones frequently use more powerful assets. For instance, some devices do not require high processing, and others may use system on chips (SoCs) and specific graphics processing units (GPUs) [4,25].…”

Section: Introductionmentioning

confidence: 99%

Software and Hardware Requirements and Trade-Offs in Operating Systems for Wearables: A Tool to Improve Devices’ Performance

Amorim

Silva

Oliveira

2019

Sensors

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Wearable device requirements currently vary from soft to hard real-time constraints. Frequently, hardware improvements are a way to speed-up the global performance of a solution. However, changing some parts or the whole hardware may increase device complexity, raising the costs and leading to development delays of products or research prototypes. This paper focuses on software improvements, presenting a tool designed to create different versions of operating systems (OSs) fitting the specifications of wearable devices projects. Authors have developed a software tool allowing the end-user to craft a new OS in just a few steps. In order to validate the generated OS, an original wearable prototype for mining environments is outlined. Resulting data presented here allows for measuring the actual impact an OS has in different variables of a solution. Finally, the analysis also allows for evaluating the performance impact associated with each hardware part. Results suggest the viability of using the proposed solution when searching for performance improvements on wearables.

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“…Such a method is able to detect overlapped circular objects, and such objects are detected as a collection of pixels with the same gray threshold; therefore, it can be viewed as a segmentation procedure. This procedure has been applied in previous investigations for diverse purposes and has been amply documented . Firstly, a set of 100 images with groups of synthetic bubbles with different configurations in sizes and shapes (circular, elliptical, clusters) were created.…”

Section: Introductionmentioning

confidence: 99%

Experimental measurements of bubble size distributions in a water model and its influence on the aluminum kinetics degassing

et al. 2019

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An experimental study of the gas-liquid dynamics in a water model of an aluminum ladle was conducted. The rotor degassing performance was evaluated for two commercial rotor-injector devices compared to a new rotor design. In this work, the influence of the turbulent properties of the flow fields on the bubble size distribution is analyzed for a better understanding of its impact on the degassing efficiency in aluminum refinement operations. The degassing process was analyzed by two different methods: (a) a high-speed camera was used to obtain the bubble size distribution into the container; and (b) the particle image velocimetry technique (PIV) was employed to obtain the liquid flow properties. It was found that the rotor geometry plays an important role on the average size and distribution of the bubbles. The energy dissipation rate contours show significant differences for the distinct rotors tested. These hydrodynamic states and bubbles distribution dominate the kinetic and efficiency of the degassing processes. It was shown that the new rotor configuration enhances the degassing kinetics, due to a more suitable bubble dispersion compared to the commercial rotors tested.

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Building Wearables for Geology

Cited by 17 publications

References 36 publications

Flexible Hybrid Nanogenerator for Self‐Powered Weather and Healthcare Monitoring Sensor

Flexible Hybrid Nanogenerator for Self‐Powered Weather and Healthcare Monitoring Sensor

Software and Hardware Requirements and Trade-Offs in Operating Systems for Wearables: A Tool to Improve Devices’ Performance

Experimental measurements of bubble size distributions in a water model and its influence on the aluminum kinetics degassing

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