An Open Source Low-Cost Device Coupled with an Adaptative Time-Lag Time-Series Linear Forecasting Modeling for Apple Trentino (Italy) Precision Irrigation

Precision irrigation represents those strategies aiming to feed the plant needs following the soil’s spatial and temporal characteristics. Such a differential irrigation requires a different approach and equipment with regard to conventional irrigation to reduce the environmental impact and the resources use while maximizing the production and thus profitability. This study described the development of an open source soil moisture LoRa (long-range) device and analysis of the data collected and updated directly in the field (i.e., weather station and ground sensor). The work produced adaptive supervised predictive models to optimize the management of agricultural precision irrigation practices and for an effective calibration of other agronomic interventions. These approaches are defined as adaptive because they self-learn with the acquisition of new data, updating the on-the-go model over time. The location chosen for the experimental setup is a cultivated area in the municipality of Tenna (Trentino, Alto Adige region, Italy), and the experiment was conducted on two different apple varieties during summer 2019. The adaptative partial least squares time-lag time-series modeling, in operative field conditions, was a posteriori applied in the consortium for 78 days during the dry season, producing total savings of 255 mm of irrigated water and 44,000 kW of electricity, equal to 10.82%.

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RAPID-MOLT: A Meso-scale, Open-source, Low-cost Testbed for Robot Assisted Precision Irrigation and Delivery

2019 IEEE 15th International Conference on Automation Science and Engineering (CASE) ◽

10.1109/coase.2019.8842877 ◽

2019 ◽

Cited By ~ 1

Author(s):

Marius Wiggert ◽

Leela Amladi ◽

Ron Berenstein ◽

Stefano Carpin ◽

Joshua Viers ◽

...

Keyword(s):

Open Source ◽

Low Cost ◽

Robot Assisted ◽

Precision Irrigation ◽

Meso Scale

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Rapid mapping accuracy assessment using low-cost UAV and open-source Structure from Motion

Rendiconti online della Società Geologica Italiana ◽

10.3301/rol.2020.19 ◽

2020 ◽

Vol 52 ◽

pp. 55-61

Author(s):

Ettore Potente ◽

Cosimo Cagnazzo ◽

Alessandro Deodati ◽

Giuseppe Mastronuzzi

Keyword(s):

Open Source ◽

Structure From Motion ◽

Accuracy Assessment ◽

Low Cost ◽

Mapping Accuracy ◽

Rapid Mapping ◽

Source Structure

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Characterization of a Polymeric Membrane for the Separation of Hydrogen in a Mixture with CO2

The Open Fuels & Energy Science Journal ◽

10.2174/1876973x01609010126 ◽

2016 ◽

Vol 9 (1) ◽

pp. 126-136 ◽

Cited By ~ 1

Author(s):

Dionisio H. Malagón-Romero ◽

Alexander Ladino ◽

Nataly Ortiz ◽

Liliana P. Green

Keyword(s):

Carbon Dioxide ◽

Hydrogen Production ◽

Test Performance ◽

Low Cost ◽

Time Lag ◽

Polymeric Membrane ◽

Biological Processes ◽

Scanning Calorimetry ◽

Environmentally Sustainable ◽

Production Of Hydrogen

Hydrogen is expected to play an important role as a clean, reliable and renewable energy source. A key challenge is the production of hydrogen in an economically and environmentally sustainable way on an industrial scale. One promising method of hydrogen production is via biological processes using agricultural resources, where the hydrogen is found to be mixed with other gases, such as carbon dioxide. Thus, to separate hydrogen from the mixture, it is challenging to implement and evaluate a simple, low cost, reliable and efficient separation process. So, the aim of this work was to develop a polymeric membrane for hydrogen separation. The developed membranes were made of polysulfone via phase inversion by a controlled evaporation method with 5 wt % and 10 wt % of polysulfone resulting in thicknesses of 132 and 239 micrometers, respectively. Membrane characterization was performed using scanning electron microscopy (SEM), differential scanning calorimetry (DSC), atomic force microscopy (AFM), and ASTM D882 tensile test. Performance was characterized using a 23 factorial experiment using the time lag method, comparing the results with those from gas chromatography (GC). As a result, developed membranes exhibited dense microstructures, low values of RMS roughness, and glass transition temperatures of approximately 191.75 °C and 190.43 °C for the 5 wt % and 10 wt % membranes, respectively. Performance results for the given membranes showed a hydrogen selectivity of 8.20 for an evaluated gas mixture 54% hydrogen and 46% carbon dioxide. According to selectivity achieved, H2 separation from carbon dioxide is feasible with possibilities of scalability. These results are important for consolidating hydrogen production from biological processes.

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PyDOSS: An open-source Python-based communicable disease outbreak surveillance system designed and used in a COVID-19 community care facility (Preprint)

10.2196/preprints.21760 ◽

2020 ◽

Author(s):

Andrew Fang ◽

Jonathan Kia-Sheng Phua ◽

Terrence Chiew ◽

Daniel De-Liang Loh ◽

Lincoln Ming Han Liow ◽

...

Keyword(s):

Open Source ◽

Surveillance System ◽

Community Care ◽

Communicable Disease ◽

Low Cost ◽

Real Life ◽

Disease Outbreak ◽

Disease Spread ◽

Healthcare Team ◽

Increased Risk

BACKGROUND During the Coronavirus Disease 2019 (COVID-19) outbreak, community care facilities (CCF) were set up as temporary out-of-hospital isolation facilities to contain the surge of cases in Singapore. Confined living spaces within CCFs posed an increased risk of communicable disease spread among residents. OBJECTIVE This inspired our healthcare team managing a CCF operation to design a low-cost communicable disease outbreak surveillance system (CDOSS). METHODS Our CDOSS was designed with the following considerations: (1) comprehensiveness, (2) efficiency through passive reconnoitering from electronic medical record (EMR) data, (3) ability to provide spatiotemporal insights, (4) low-cost and (5) ease of use. We used Python to develop a lightweight application – Python-based Communicable Disease Outbreak Surveillance System (PyDOSS) – that was able perform syndromic surveillance and fever monitoring. With minimal user actions, its data pipeline would generate daily control charts and geospatial heat maps of cases from raw EMR data and logged vital signs. PyDOSS was successfully implemented as part of our CCF workflow. We also simulated a gastroenteritis (GE) outbreak to test the effectiveness of the system. RESULTS PyDOSS was used throughout the entire duration of operation; the output was reviewed daily by senior management. No disease outbreaks were identified during our medical operation. In the simulated GE outbreak, PyDOSS was able to effectively detect an outbreak within 24 hours and provided information about cluster progression which could aid in contact tracing. The code for a stock version of PyDOSS has been made publicly available. CONCLUSIONS PyDOSS is an effective surveillance system which was successfully implemented in a real-life medical operation. With the system developed using open-source technology and the code made freely available, it significantly reduces the cost of developing and operating CDOSS and may be useful for similar temporary medical operations, or in resource-limited settings.

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Implementation of a Six-Layer Smart Factory Architecture with Special Focus on Transdisciplinary Engineering Education

Sensors ◽

10.3390/s21092944 ◽

2021 ◽

Vol 21 (9) ◽

pp. 2944

Author(s):

Benjamin James Ralph ◽

Marcel Sorger ◽

Benjamin Schödinger ◽

Hans-Jörg Schmölzer ◽

Karin Hartl ◽

...

Keyword(s):

Open Source ◽

User Interfaces ◽

Industrial Revolution ◽

Low Cost ◽

Material Behavior ◽

Sensor Data ◽

Management Tool ◽

Special Focus ◽

Programming Environments ◽

Metal Processing

Smart factories are an integral element of the manufacturing infrastructure in the context of the fourth industrial revolution. Nevertheless, there is frequently a deficiency of adequate training facilities for future engineering experts in the academic environment. For this reason, this paper describes the development and implementation of two different layer architectures for the metal processing environment. The first architecture is based on low-cost but resilient devices, allowing interested parties to work with mostly open-source interfaces and standard back-end programming environments. Additionally, one proprietary and two open-source graphical user interfaces (GUIs) were developed. Those interfaces can be adapted front-end as well as back-end, ensuring a holistic comprehension of their capabilities and limits. As a result, a six-layer architecture, from digitization to an interactive project management tool, was designed and implemented in the practical workflow at the academic institution. To take the complexity of thermo-mechanical processing in the metal processing field into account, an alternative layer, connected with the thermo-mechanical treatment simulator Gleeble 3800, was designed. This framework is capable of transferring sensor data with high frequency, enabling data collection for the numerical simulation of complex material behavior under high temperature processing. Finally, the possibility of connecting both systems by using open-source software packages is demonstrated.

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Induction of Neural Plasticity Using a Low-Cost Open Source Brain-Computer Interface and a 3D-Printed Wrist Exoskeleton

Sensors ◽

10.3390/s21020572 ◽

2021 ◽

Vol 21 (2) ◽

pp. 572

Author(s):

Mads Jochumsen ◽

Taha Al Muhammadee Janjua ◽

Juan Carlos Arceo ◽

Jimmy Lauber ◽

Emilie Simoneau Buessinger ◽

...

Keyword(s):

Open Source ◽

Neural Plasticity ◽

Motor Evoked Potentials ◽

Low Cost ◽

True Positive Rate ◽

Positive Rate ◽

3D Printed ◽

Major Factors ◽

And Control ◽

Bci System

Brain-computer interfaces (BCIs) have been proven to be useful for stroke rehabilitation, but there are a number of factors that impede the use of this technology in rehabilitation clinics and in home-use, the major factors including the usability and costs of the BCI system. The aims of this study were to develop a cheap 3D-printed wrist exoskeleton that can be controlled by a cheap open source BCI (OpenViBE), and to determine if training with such a setup could induce neural plasticity. Eleven healthy volunteers imagined wrist extensions, which were detected from single-trial electroencephalography (EEG), and in response to this, the wrist exoskeleton replicated the intended movement. Motor-evoked potentials (MEPs) elicited using transcranial magnetic stimulation were measured before, immediately after, and 30 min after BCI training with the exoskeleton. The BCI system had a true positive rate of 86 ± 12% with 1.20 ± 0.57 false detections per minute. Compared to the measurement before the BCI training, the MEPs increased by 35 ± 60% immediately after and 67 ± 60% 30 min after the BCI training. There was no association between the BCI performance and the induction of plasticity. In conclusion, it is possible to detect imaginary movements using an open-source BCI setup and control a cheap 3D-printed exoskeleton that when combined with the BCI can induce neural plasticity. These findings may promote the availability of BCI technology for rehabilitation clinics and home-use. However, the usability must be improved, and further tests are needed with stroke patients.

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Mapping agroecological zones and time lag in vegetation growth by means of fourier analysis of time series of NDVI images

Advances in Space Research ◽

10.1016/0273-1177(93)90550-u ◽

1993 ◽

Vol 13 (5) ◽

pp. 233-237 ◽

Cited By ~ 103

Author(s):

M. Menenti ◽

S. Azzali ◽

W. Verhoef ◽

R. van Swol

Keyword(s):

Time Series ◽

Fourier Analysis ◽

Time Lag ◽

Vegetation Growth ◽

Agroecological Zones ◽

Analysis Of Time Series

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PRODUCT DEVELOPMENT IN OPEN DESIGN COMMUNITIES: A PROCESS PERSPECTIVE

International Journal of Innovation and Technology Management ◽

10.1142/s021987701100260x ◽

2011 ◽

Vol 08 (04) ◽

pp. 557-575 ◽

Cited By ~ 14

Author(s):

CHRISTINA RAASCH

Keyword(s):

Product Development ◽

Open Source ◽

Low Cost ◽

Industrial Practice ◽

Open Design ◽

Open Development ◽

Development Processes ◽

Design Projects ◽

Process Perspective ◽

Significant Attention

Open source (OS) has raised significant attention in industrial practice and in scholarly research as a new and successful mode of product development. This paper is among the first to study open source development processes outside their original context, the software industry. In particular, we investigate the development of tangible products in so-called open design projects. We study how open design projects address the challenges usually put forward in the literature as barriers to the open development of tangible products. The analysis rests on the comparative qualitative investigation of four cases from different industries. We find that, subject to certain contingencies, open design processes can be organized to resemble OSS development processes to a considerable degree. Some practices are established specifically to uphold OS principles in the open design context, while others starkly differ from those found in OSS development. Our discussion focusses on different aspects of modularity as well as the availability of low-cost tools.

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