The Design of an Energy Harvesting Wireless Sensor Node for Tracking Pink Iguanas

Loreti, Paola; Catini, Alexandro; Luca, Michele De; Bracciale, Lorenzo; Gentile, Gabriele; Natale, Corrado Di

doi:10.3390/s19050985

Cited by 40 publications

(29 citation statements)

References 26 publications

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“…Analyzing the complexity of surfaces is a very hard problem, which is of interest in different fields of research, e.g., biomimetics [23], virtual reality [24], medical applications [25], [26], energy production [27], animal monitoring [28], [29]. The paper reports two new methods for estimating the fractal dimension in 3D space with an average space component, and its application in analyzing complex surfaces.…”

Section: Discussionmentioning

confidence: 99%

New Method for Estimating Fractal Dimension in 3D Space and Its Application to Complex Surfaces

Babič¹,

Miliaresis

Mikoš

et al. 2019

Int. J. Adv. Sci. Eng. Inf. Technol.

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The concept of "surface modeling" generally describes the process of representing a physical or artificial surface by a geometric model, namely a mathematical expression. Among the existing techniques applied for the characterization of a surface, terrain modeling relates to the representation of the natural surface of the Earth. Cartographic terrain or relief models as threedimensional representations of a part of the Earth's surface convey an immediate and direct impression of a landscape and are much easier to understand than two-dimensional models. This paper addresses a major problem in complex surface modeling and evaluation consisting in the characterization of their topography and comparison among different textures, which can be relevant in different areas of research. A new algorithm is presented that allows calculating the fractal dimension of images of complex surfaces. The method is used to characterize different surfaces and compare their characteristics. The proposed new mathematical method computes the fractal dimension of the 3D space with the average space component of Hurst exponent H, while the estimated fractal dimension is used to evaluate, compare and characterize complex surfaces that are relevant in different areas of research. Various surfaces with both methods were analyzed and the results were compared. The study confirms that with known coordinates of a surface, it is possible to describe its complex structure. The estimated fractal dimension is proved to be an ideal tool for measuring the complexity of the various surfaces considered.

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Section: Discussionmentioning

confidence: 99%

New Method for Estimating Fractal Dimension in 3D Space and Its Application to Complex Surfaces

Babič¹,

Miliaresis

Mikoš

et al. 2019

Int. J. Adv. Sci. Eng. Inf. Technol.

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“…We developed a new "Wireless Sensor Node" (WSN) able to collect several environmental data. The architecture of the node has been described elsewhere [5,10]. The device integrates solar panels and supercapacitors as key components to allow its continuous functioning ( Fig.…”

Section: Device and Satellite Gateway Wireless Sensor Nodementioning

confidence: 99%

“…Challenging environmental constraints and/or strict ecological species requirements call for a continuous interaction between conservationists and engineers to produce sound technological solutions that best fit case studies, yet maintaining the potential for a wide spectrum of applications [5]. A compelling example in this regard is represented by the Galápagos pink land iguana, Conolophus marthae.…”

Section: Introductionmentioning

confidence: 99%

Assessment and validation of miniaturized technology for the remote tracking of critically endangered Galápagos pink land iguana (Conolophus marthae)

et al. 2020

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Background: Gathering ecological data for species of conservation concern inhabiting remote regions can be daunting and, sometimes, logistically infeasible. We built a custom-made GPS tracking device that allows to remotely and accurately collect animal position, environmental, and ecological data, including animal temperature and UVB radiation. We designed the device to track the critically endangered Galápagos pink land iguana, Conolophus marthae. Here we illustrate some technical solutions adopted to respond to challenges associated with such task and present some preliminary results from controlled trial experiments and field implementation. Results: Our tests show that estimates of temperature and UVB radiation are affected by the design of our device, in particular by its casing. The introduced bias, though, is systematic and can be corrected using linear and quadratic regressions on collected values. Our data show that GPS accuracy loss, although introduced by vegetation and orientation of the devices when attached to the animals, is acceptable, leading to an average error gap of less than 15 m in more than 50% of the cases. Conclusions: We address some technical challenges related to the design, construction, and operation of a custommade GPS tracking device to collect data on animals in the wild. Systematic bias introduced by the technological implementation of the device exists. Understanding the nature of the bias is crucial to provide correction models. Although designed to track land iguanas, our device could be used in other circumstances and is particularly useful to track organisms inhabiting locations that are difficult to reach or for which classic telemetry approaches are unattainable.

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“…1 greenBag first prototype and Fig. 2 greenBag final prototype The greenBag bin is based on an embedded architecture similar to [15][16][17], since it allows to enter in deep sleep states and to save the device battery.…”

Section: A the Greenbag Binmentioning

confidence: 99%

The greenBag, the New Solution in Waste Separation

Sperandio¹,

Luca

Catini

2019

Int. J. Adv. Sci. Eng. Inf. Technol.

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The greenBag is an innovative households' Used Cooking Oil (UCO) disposal solution aiming to allow the collection of this feedstock interesting European but also Chinese and US market. The possibility to collect UCO produced by households represents the possibilities to increase the amount of biodiesel, respecting the ILUC directive, of the 60%. So far, there are no concrete solutions able to properly respond to this need, due to their huge prizes and due to the low performances, they provide. greenBag is a solution coming from an intensive research activity completed by an infield validation. It has been designed to reply to all the requirements coming from families and from the waste management companies, the two actors involved in UCO disposal. Indeed, two different types of users in general, and in particular the UCO collection, characterize waste collection solutions: families-that want simple solutions, easy to use and able to reward them; waste collection companies-that want cheap solutions, able to trace waste disposals and able to assure them a high quality of wastes. The currently available market solutions are all focused on waste companies and the current innovative ideas designed by Universities and Startups focus their attention only on one of the two involved actors. greenBag is currently the sole solution that aims to satisfy both actors, exploiting the disposal traceability not only to know how many waste people produces but also to quantify their efforts and making them aware about the overall disposal process.

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The Design of an Energy Harvesting Wireless Sensor Node for Tracking Pink Iguanas

Cited by 40 publications

References 26 publications

New Method for Estimating Fractal Dimension in 3D Space and Its Application to Complex Surfaces

New Method for Estimating Fractal Dimension in 3D Space and Its Application to Complex Surfaces

Assessment and validation of miniaturized technology for the remote tracking of critically endangered Galápagos pink land iguana (Conolophus marthae)

The greenBag, the New Solution in Waste Separation

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