Data Logging Research Papers - Academia.edu (original) (raw)

Each solar thermal plant can provide different parameters to be treated and evaluated, mostly temperature measurements, pressure specifications, heat transfer values. This data collection can be quite expensive taking into account the... more

Each solar thermal plant can provide different parameters to be treated and evaluated, mostly temperature measurements, pressure specifications, heat transfer values. This data collection can be quite expensive taking into account the important number of sensors and data loggers and their specifications. Hence to assure flexibility in the data collection at a low cost, many hardware and software specifications can be adopted. Here we built an inexpensive data logger based on the Arduino board and IDE to collect and store incoming data from Resol DeltaSol regulators integrated in different solar water heating systems. The objective of this study is to allow massive synchronized measurements with high resolution to be stored into an SD card through the Arduino platform. The measurements are given by multiple sensors (temperature, pump speed, relay states) connected to the regulator. The results from the tests of the plant connected to the data logger are provided later on, alongside the commercial aspects of the built data logging device. After a month of daily measurements, the data logger showed an outstanding performance with an extreme low cost compared to industrial datalogger.

Repeat observations underpin our understanding of environmental processes but financial constraints often limit scientists’ ability to deploy dense networks of conventional commercial instrumentation. Rapid growth in the... more

Repeat observations underpin our understanding of environmental processes but financial constraints often limit scientists’ ability to deploy dense networks of conventional commercial instrumentation. Rapid growth in the Internet-Of-Things (IOT) and the maker movement is paving the way for low-cost electronic sensors to transform global environmental monitoring. Accessible and inexpensive sensor construction is also fostering exciting opportunities for citizen science and participatory research. Drawing on six years of developmental work with Arduino open-source hardware and software and active field research, we outline a series of successes, failures and lessons learned in designing and deploying environmental sensors. Six case studies are presented: a water table depth probe, air and water quality sensors, multi-parameter weather stations, a time-sequencing lake sediment trap and a sonic anemometer for monitoring sand transport. Sensor design and schematics are described alongsid...

Construction equipment manufacturers want to reduce the downtime of their equipment by moving from the typical reactive maintenance to a predictive maintenance approach. They would like to define a method to predict the failure of the... more

Construction equipment manufacturers want to reduce the downtime of their equipment by moving from the typical reactive maintenance to a predictive maintenance approach. They would like to define a method to predict the failure of the construction equipment ahead of time by leveraging the real-world data that is being logged by their vehicles. This data is logged as general event data and specific sensor data belonging to different components of the vehicle. For the scope of this study, the focus is on articulated hauler vehicles with engines as the specific component under observation. In the study, extensive time and resources are spent on preparing both the real-world data sources and coming up with methods such that both data sources are ready for predictive maintenance and can also be merged together. The prepared data is used to build respective remaining useful life machine learning models which classify whether there will be a failure in the next x days.

Repeat observations underpin our understanding of environmental processes, but financial constraints often limit scientists’ ability to deploy dense networks of conventional commercial instrumentation. Rapid growth in the... more

Repeat observations underpin our understanding of environmental processes, but financial constraints often limit scientists’ ability to deploy dense networks of conventional commercial instrumentation. Rapid growth in the Internet-Of-Things (IoT) and the maker movement is paving the way for low-cost electronic sensors to transform global environmental monitoring. Accessible and inexpensive sensor construction is also fostering exciting opportunities for citizen science and participatory research. Drawing on 6 years of developmental work with Arduino-based open-source hardware and software, extensive laboratory and field testing, and incorporation of such technology into active research programmes, we outline a series of successes, failures and lessons learned in designing and deploying environmental sensors. Six case studies are presented: a water table depth probe, air and water quality sensors, multi-parameter weather stations, a time-sequencing lake sediment trap, and a sonic anemometer for monitoring sand transport. Schematics, code and purchasing guidance to reproduce our sensors are described in the paper, with detailed build instructions hosted on our King’s College London Geography Environmental Sensors Github repository and the FreeStation project website. We show in each case study that manual design and construction can produce research-grade scientific instrumentation (mean bias error for calibrated sensors –0.04 to 23%) for a fraction of the conventional cost, provided rigorous, sensor-specific calibration and field testing is conducted. In sharing our collective experiences with build-it-yourself environmental monitoring, we intend for this paper to act as a catalyst for physical geographers and the wider environmental science community to begin incorporating low-cost sensor development into their research activities. The capacity to deploy denser sensor networks should ultimately lead to superior environmental monitoring at the local to global scales.

The present work relates to WINTeR, an open access, multi-user experimental facility, currently under development, to support implementation and evaluation of wireless sensor networks for industrial applications in radio-harsh... more

The present work relates to WINTeR, an open access, multi-user experimental facility, currently under development, to support implementation and evaluation of wireless sensor networks for industrial applications in radio-harsh environments. A brief review of existing testbeds is provided and the unique requirements of WINTeR are defined. The resulting WINTeR architecture provides remote accessibility to a full-scale industrial setting including a network of programmable motes each with a programmable attenuator and power monitor, a complex multipath environment, an EMI generator, and a data generator. Experimental analysis tools provide for data logging and graphing as experiments proceed. The resulting testbed will support development and evaluation of emerging physical layer technologies, propagation models, routing protocols, security protocols, power consumption models, the validation of wireless solutions for industrial processes, and most importantly cross-layer optimization. Some examples of how the testbed can be used are briefly presented.

We describe techniques for using the Computer-Stored Ambulatory Record (COSTAR) at the Massachusetts General Hospital to conduct a historical cohort study of the effect of nonsteroidal anti-inflammatory drugs (NSAIDs) on blood pressure... more

We describe techniques for using the Computer-Stored Ambulatory Record (COSTAR) at the Massachusetts General Hospital to conduct a historical cohort study of the effect of nonsteroidal anti-inflammatory drugs (NSAIDs) on blood pressure control. A query language was used to identify patients satisfying clinical and data-availability criteria, to match these patients with clinically similar patients not exposed to NSAIDs, and to collect data from the COSTAR records of both groups of patients to determine any differences in outcome. We analyzed over 30,000 patient records to select 90 pairs of patients used in the study. This approach to clinical research uses data collected for purpose of patient care and so does not require the separate recording of patient data for clinical research. Using computer-based medical record systems with a query language allows selection and matching of patients using detailed demographic and clinical criteria. The ability to conduct such studies is an advantage of computer-based medical record systems over the paper record system.

A cone penetrometer is widely used in tillage and off-road mobility research as an indicator of soil strength and density characteristics. Light-weight, manually operated units are especially useful in recording cone index determination... more

A cone penetrometer is widely used in tillage and off-road mobility research as an indicator of soil strength and density characteristics. Light-weight, manually operated units are especially useful in recording cone index determination at remote field locations. An electronically hand-pushed soil penetrometer with a
microcontroller-based data logging system was designed and fabricated to provide a portable penetrometer for determining soil resistance to penetration in tillage studies. The device consists of three main components: a cantilever beam strain-gauge load cell held by housing to measure penetration force, depth measurement mechanism with a photodiode sensor, and a data logging system for amplifying, digitizing, and acquiring data. Data from data logging system can be downloaded into a personal computer by an RS232 cable and a software program. In evaluation stage, the performance of the developed penetrometer was compared with a commercial Eijkelkamp hand-pushed digital penetrometer in a controlled soil bin conditions. No significant difference was found (p<0.05) between the two penetrometers. The penetrometer performance was reliable and the penetrometer’s mechanical and electrical parts worked well without any malfunctions. The device is very light, easy to use and more economical compared to the conventional types.

† Electrical and Computer Engineering Department ‡ Civil and Environmental Engineering Department Carnegie Mellon University Pittsburgh, PA 15213 {agr,mberges,gnb,ejgoldman,rajkumar,lucio }@andrew.cmu.edu ... We demonstrate Sensor Andrew,... more

† Electrical and Computer Engineering Department ‡ Civil and Environmental Engineering Department Carnegie Mellon University Pittsburgh, PA 15213 {agr,mberges,gnb,ejgoldman,rajkumar,lucio }@andrew.cmu.edu ... We demonstrate Sensor Andrew, an infrastructure for ...

Analytics as one of the recent fields in technology-based learning offers many benefits to educators, instructors, and administrators to improve the efficiency and quality of alternative educational materials, and learning experience... more

Analytics as one of the recent fields in technology-based learning offers many benefits to educators, instructors, and administrators to improve the efficiency and quality of alternative educational materials, and learning experience through tracking and storing students' log data on web platforms over an extended period of time. This mixed-method study investigates students' log data retrieved from the opencourseware (OCW) specifically launched for a required academic English speaking skills course offered at Middle East Technical University in Turkey with the aim of enhancing the quality and efficiency of the materials available for the course. By understanding the reasons behind students' behaviors via the interviews conducted with 50 students on this online courseware, this study also aims to provide useful practical hints to the instructors and guide them to act on future decisions. The analyzed data is based on learner behavior with a specific emphasis on average view duration, likes and dislikes, and comments. This study can serve as a starting point to guide and provide the instructors and administrators about the future of the aforementioned course which is also offered in a rotational hybrid learning format where the effectiveness of online materials gain even more importance.

Long‐term changes in the Normalized Difference Vegetation Index (NDVI) have been evaluated in several studies but results have not been conclusive due to differences in data processing as well as the length and time of the analysed... more

Long‐term changes in the Normalized Difference Vegetation Index (NDVI) have been evaluated in several studies but results have not been conclusive due to differences in data processing as well as the length and time of the analysed period. In this research a newly developed 1 km Advanced Very High Resolution Radiometer (AVHRR) satellite data record for the period 1985–2006 was used to rigorously evaluate NDVI trends over Canada. Furthermore, climate and land cover change as potential causes of observed trends were evaluated in eight sample regions. The AVHRR record was generated using improved geolocation, cloud screening, correction for sun‐sensor viewing geometry, atmospheric correction, and compositing. Results from both AVHRR and Landsat revealed an increasing NDVI trend over northern regions where comparison was possible. Overall, 22% of the vegetated area in Canada was found to have a positive NDVI trend based on the Mann–Kendal test at the 95% confidence level. Of these, 40% were in northern ecozones. The mean absolute difference of NDVI measurements between AVHRR and Landsat data was <7%. When compared with results from other studies, similar trends were found over northern areas, while in southern regions the results were less consistent. Local assessment of potential causes of trends in each region revealed a stronger influence of climate in the north compared to the south. Southern regions with strong positive trends appeared to be most influenced by land cover change.