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. Kollias, P.; Oue, M.; Fridlind, A. M.; Matsui, T.; McLaughlin, D. 2017-12-01 For over half a century, radars operating in a wide range of frequencies have been the primary source of observational insights of clouds and precipitation microphysics and dynamics and contributed to numerous significant advancements in the field of cloud and precipitation physics. The development of multi-wavelength and polarization diversity techniques has further strengthened the quality of microphysical and dynamical retrievals from radars and has assisted in overcoming some of the limitations imposed by the physics of scattering. Atmospheric radars have historically employed a mechanically-scanning dish antenna and their ability to point to, survey, and revisit specific points or regions in the atmosphere is limited by mechanical inertia. Electronically scanned, or phased-array, radars capable of high-speed, inertialess beam steering, have been available for several decades, but the cost of this technology has limited its use to military applications.

During the last 10 years, lower power and lower-cost versions of electronically scanning radars have been developed, and this presents an attractive and affordable new tool for the atmospheric sciences. The operational and research communities are currently exploring phased array advantages in signal processing (i.e. Beam multiplexing, improved clutter rejection, cross beam wind estimation, adaptive sensing) and science applications (i.e.

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Tornadic storm morphology studies). Here, we will present some areas of atmospheric research where inertia-less radars with ability to provide rapid volume imaging offers the potential to advance cloud and precipitation research. We will discuss the added value of single phased-array radars as well as networks of these radars for several problems including: multi-Doppler wind retrieval techniques, cloud lifetime studies and aerosol-convection interactions. The performance of current (dish) and future (e-scan) radar systems for these atmospheric studies will be evaluated using.

Gwenzi, Willis; Chaukura, Nhamo; Noubactep, Chicgoua; Mukome, Fungai N D 2017-07-15 Approximately 600 million people lack access to safe drinking water, hence achieving Sustainable Development Goal 6 (Ensure availability and sustainable management of water and sanitation for all by 2030) calls for rapid translation of recent research into practical and frugal solutions within the remaining 13 years. Biochars, with excellent capacity to remove several contaminants from aqueous solutions, constitute an untapped technology for drinking water treatment. Doyel, Hoyt W.; McMillan, John D.

1980-01-01 Outlines eight low-cost employee benefits and summarizes their relative advantages. The eight include a stock ownership program, a sick leave pool, flexible working hours, production incentives, and group purchase plans. (IRT). Mahmud, Faisal; Hossain, S. M.; Bin, Jobair 2010-01-01 The use of robots in different fields is common and effective in developed countries. In case of incident management or emergency rescue after a disaster, robots are often used to lessen the human effort where it is either impossible or life-threatening for rescuers.

Though developed countries can afford robotic-effort for pro-disaster management, the scenario is totally opposite for developing and under-developed countries to engage such a machine-help due to high cost of the machines and high maintenance cost as well. In this research paper, the authors proposed a low-cost 'Rescue-Robot' for pro-disaster management which can overcome the budget-constraints as well as fully capable of rescue purposes for incident management.

Here, all the research works were performed in Bangladesh - a developing country in South Asia. A disaster struck structure was chosen and a thorough survey was performed to understand the real-life environment for the prototype. The prototype was developed considering the results of this survey and it was manufactured using all locally available components and facilities. A.; Chakrabarti, S.; Polidan, R.; Jaeger, T.; Hill, L. 2011-12-01 Early in the 20th century, automobiles appeared as extraordinary vehicles - and now they are part of life everywhere. Late in the 20th century, internet and portable phones appeared as innovations - and now omni-present requirements. At mid-century, the first satellites were launched into space - and now 50 years later - 'making a satellite' remains in the domain of highly infrequent events.

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Why do all universities and companies not have their own satellites? Why is the work force capable of doing so remarkably small?

Why do highly focused science objectives that require just a glimpse from space never get a chance to fly? Historically, there have been two primary impediments to place an experiment in orbit - high launch costs and the high cost of spacecraft systems and related processes. The first problem appears to have been addressed through the availability of several low-cost (hands-on training for these participants and will leave an important legacy in developing a scientifically and technically competent workforce. M.; Affinito, J. D.; Gross, M.

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E.; Bennett, W. 1995-03-01 The objectives of this project were to develop and evaluate promising low-cost dielectric and polymer-protected thin-film reflective metal coatings to be applied to preformed continuously-curved solar reflector panels to enhance their solar reflectance, and to demonstrate protected solar reflective coatings on preformed solar concentrator panels. The opportunity for this project arose from a search by United Solar Technologies (UST) for organizations and facilities capable of applying reflective coatings to large preformed panels. PNL was identified as being uniquely qualified to participate in this collaborative project. Nole, Gabriele; Lasaponara, Rosa 2015-04-01 Up to nowadays, satellite data have become increasingly available, thus offering a low cost or even free of charge unique tool, with a great potential for operational monitoring of vegetation cover, quantitative assessment of urban expansion and urban sprawl, as well as for monitoring of land use changes and soil consumption. This growing observational capacity has also highlighted the need for research efforts aimed at exploring the potential offered by data processing methods and algorithms, in order to exploit as much as possible this invaluable space-based data source. The work herein presented concerns an application study on the monitoring of vegetation cover and urban sprawl conducted with the use of satellite Landsat TM data.

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The selected test site is the Iguazu park highly significant, being it one of the most threatened global conservation priorities (In order to produce synthetic maps of the investigated areas to monitor the status of vegetation and ongoing subtle changes, satellite Landsat TM data images were classified using two automatic classifiers, Maximum Likelihood (MLC) and Support Vector Machines (SVMs) applied by changing setting parameters, with the aim to compare their respective performances in terms of robustness, speed and accuracy. All process steps have been developed integrating Geographical Information System and Remote Sensing, and adopting free and open source software. Results pointed out that the SVM classifier with RBF kernel was generally the best choice (with accuracy higher than 90%) among all the configurations compared, and the use of multiple bands globally improves classification. One of the critical elements found in the case of monitoring of urban area expansion is given by the presence of urban garden mixed with urban fabric. The use of different configurations for the SVMs, i.e. Different kernels and values of the setting parameters, allowed us to calibrate the classifier also to. Ham, J.

2016-12-01 New microprocessor boards, open-source sensors, and cloud infrastructure developed for the Internet of Things (IoT) can be used to create low-cost monitoring systems for environmental research. This project describes two applications in soil science and hydrology: 1) remote monitoring of the soil temperature regime near oil and gas operations to detect the thermal signature associated with the natural source zone degradation of hydrocarbon contaminants in the vadose zone, and 2) remote monitoring of soil water content near the surface as part of a global citizen science network. In both cases, prototype data collection systems were built around the cellular (2G/3G) 'Electron' microcontroller (www.particle.io). This device allows connectivity to the cloud using a low-cost global SIM and data plan. The systems have cellular connectivity in over 100 countries and data can be logged to the cloud for storage. Users can view data real time over any internet connection or via their smart phone. For both projects, data logging, storage, and visualization was done using IoT services like Thingspeak (thingspeak.com).

The soil thermal monitoring system was tested on experimental plots in Colorado USA to evaluate the accuracy and reliability of different temperature sensors and 3D printed housings. The soil water experiment included comparison opens-source capacitance-based sensors to commercial versions. Results demonstrate the power of leveraging IoT technology for field research.