1,093,853 research outputs found
ECONOMIC IMPACT OF PRODUCTION AND PROCESSING OF IRRIGATED POTATOES IN CENTRAL NORTH DAKOTA
Agricultural areas can be significantly impacted by high-value crops. Irrigated potato production has significantly affected central North Dakota. Interested growers in the Jamestown area recognized the need and the potential for irrigated potato production and processing, and eventually convinced a private company to build a processing plant to make frozen potato products from their irrigated potatoes. Securing a private entity to process their product freed up capital for irrigation development and other potato enterprise purchases. Economic impacts resulting from the addition of irrigated potatoes and associated processing were analyzed in this study. This analysis is divided into two parts, construction/start-up (one-time) and operational (on-going) impacts. Construction/start-up phase includes plant construction, purchases of irrigation equipment, farmer purchases of potato machinery, and grower spending for potato storage facilities. The operational-phase includes processing plant expenditures and grower production expenditures net of the most likely non-irrigated crop. Direct expenditures for the construction/start-up phase were over 10.5 million for plant construction, 3.4 million for potato grower machinery, and 55 million, with the processing plant expenditures being 22.0 million. These direct expenditures were applied to the North Dakota Input-Output model to determine the economic impact of this project. Construction/start-up phase economic impact was estimated to be nearly 44 million in new retail sales, and a total gross business volume of 48 million, increased retail sales of almost 148 million. Increased tax collections to the state were estimated to total 3.1 million annually during the operational phase. This economic development activity resulted in a peak of 260 plant construction jobs and a permanent plant work force of 250 full-time equivalents. In addition, operational-phase secondary employment was estimated to be 1,569 full-time equivalent workers.economic impact, economic development, agricultural processing, high-value crop production, Crop Production/Industries,
How students blend conceptual and formal mathematical reasoning in solving physics problems
Current conceptions of expert problem solving depict physical/conceptual
reasoning and formal mathematical reasoning as separate steps: a good problem
solver first translates a physical Current conceptions of quantitative
problem-solving expertise in physics incorporate conceptual reasoning in two
ways: for selecting relevant equations (before manipulating them), and for
checking whether a given quantitative solution is reasonable (after
manipulating the equations). We make the case that problem-solving expertise
should include opportunistically blending conceptual and formal mathematical
reasoning even while manipulating equations. We present analysis of interviews
with two students, Alex and Pat. Interviewed students were asked to explain a
particular equation and solve a problem using that equation. Alex used and
described the equation as a computational tool. By contrast, Pat found a
shortcut to solve the problem. His shortcut blended mathematical operations
with conceptual reasoning about physical processes, reflecting a view -
expressed earlier in his explanation of the equation - that equations can
express an overarching conceptual meaning. Using case studies of Alex and Pat,
we argue that this opportunistic blending of conceptual and formal mathematical
reasoning (i) is a part of problem-solving expertise, (ii) can be described in
terms of cognitive elements called symbolic forms (Sherin, 2001), and (iii) is
a feasible instructional target.Comment: Pre-reviewed draft, now published in Science Educatio
Synchronized sweep algorithms for scalable scheduling constraints
This report introduces a family of synchronized sweep based filtering
algorithms for handling scheduling problems involving resource and
precedence constraints. The key idea is to filter all constraints of a
scheduling problem in a synchronized way in order to scale better. In
addition to normal filtering mode, the algorithms can run in greedy
mode, in which case they perform a greedy assignment of start and end
times. The filtering mode achieves a significant speed-up over the
decomposition into independent cumulative and precedence constraints,
while the greedy mode can handle up to 1 million tasks with 64 resources
constraints and 2 million precedences. These algorithms were implemented
in both CHOCO and SICStus
Spectral reflectance library of selected biotic and abiotic coral reef features In Heron Reef
A Real-Time GPP Software-Defined Radio Testbed for the Physical Layer of Wireless Standards
We present our contribution to the general-purpose-processor-(GPP)-based radio. We describe a baseband software-defined radio testbed for the physical layer of wireless LAN standards. All physical layer functions have been successfully mapped on a Pentium 4 processor that performs these functions in real time. The testbed consists of a transmitter PC with a DAC board and a receiver PC with an ADC board. In our project, we have implemented two different types of standards on this testbed, a continuous-phase-modulation-based standard, Bluetooth, and an OFDM-based standard, HiperLAN/2. However, our testbed can easily be extended to other standards, because the only limitation in our testbed is the maximal channel bandwidth of 20 MHz and of course the processing capabilities of the used PC. The transmitter functions require at most 714 M cycles per second and the receiver functions need 1225 M cycles per second on a Pentium 4 processor. In addition, baseband experiments have been carried out successfully
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