Technological and Economic Analysis of the Application of Surface Miner on the Example of a Limestone Deposit in Poland

Mining a deposit utilizing surface miner is very popular in many countries. Presently, a surfaceminer has also experimented with extracting different deposits: bauxite, hematite, sandstone, shale etc.Surface miners can completely eliminate drilling and blasting operation and primary crushing unit, thusreducing their associated environmental hazards. Apart from this, the sized excavated material increasestransport or conveying efficiency and saves the energy requirement in processing. So far, these machineshave not been used in Poland. To evaluate this technology, tests were carried out on one of the limestonedeposit in Poland. During these tests, basic parameters of efficiency, output quantity and mining costswere defined. The conducted tests have shown that this technology cannot be used in all geological andmining conditions. Therefore, the article presents the advantages and disadvantages of using surfaceminer, taking into account the Polish geological and mining conditions.

Effect of Land Cover Change on Discharge in Pangkajene Watershed

Land cover changes that occur impact on the hydrological conditions in a watershed. The hydrological condition referred to as the output quantity of the watershed is discharge which describes the quantity of water. This study aims to determine the effect of land cover change on streamflow in the Pangkajene Watershed. The results showed that there was a decrease in average peak discharge in January of 213.73 m3/s to 95.79 m3/s in the same month in 2017. Land cover changes that occurred were mixed dryland farming of bushes into paddy fields, shrubs, and settlements while forests was experienced a slight change to open land by 0.69 ha. The increase in the area of paddy fields and shrubs as large as it causes the average discharge to decrease. A decrease in the average monthly discharge in the Pangkajene watershed due to rainfall on its way into the rice irrigation water experienced process begin from, is accommodated, evaporates, so that the flow up to the river becomes small. In addition, rainfall in 2009 which is the input of the Pangkajene watershed is higher than in 2017.

“WHAT’S THE POINT OF THE TASK?” EXPLORING THE INFLUENCE OF TASK MEANING ON CREATIVITY IN CROWDSOURCING

In pursuit of product innovation, companies increasingly use crowdsourcing for idea generation. Apart from financial motives, previous studies on the motivation of crowd workers identified intrinsic motivation, such as task meaningfulness, to play a key role. These studies, however, focused on routine tasks such as image labelling, using output quantity as the variable of interest. Since the primary goal for a creative task such as idea generation is not abundance but high quality, we investigate the influence of task meaning on workers’ effort and on output creativity. In a field experiment involving idea generation by an online crowdsourcing platform, we vary the task meaning in two different conditions, and evaluate the quality of the ideas generated. We find that higher task meaning has no positive influence on either the quantity or the creativity of the output, which carries practical implications for both commissioners and crowdsourcing platform designers.

Semantic Processing Theory Could Help Explain the Effectiveness of Creativity Incentives: A Numerical Experiment

ABSTRACT Two seminal accounting studies find that output creativity is insensitive to creative effort: workers simplify creativity-weighted contracts by focusing on increasing creativity, but they cannot increase output creativity enough to compensate for sacrifices they make to output quantity. Other studies, however, find evidence that output creativity is sensitive to creative effort. To examine these differing results, I use a numerical experiment: I model workers in quantity contracts and creativity-weighted contracts, and I proxy creative effort as workers' choice between fine semantic processing (less creative) and coarse semantic processing (more creative). My numerical experiment's results show (1) output creativity's sensitivity to creative effort when the task is less inherently creative and (2) output creativity's insensitivity to creative effort when the task is more inherently creative. More inherently creative tasks effectively require coarse semantic processing in both contracts, limiting workers' ability to give incrementally more creative effort in response to creativity incentives. Data Availability: Data are available upon request.

Progressive Full Data Convolutional Neural Networks for Line Extraction from Anime-Style Illustrations

Anime-style comics are popular world-wide and an important industry in Asia. However, the output quantity and quality control of art workers have become the biggest obstacle to industrialization, and it is time consuming to produce new manga without the help of an intelligence assisted tool. As deep learning techniques have achieved great successes in different areas, it is worth exploring them to develop algorithms and systems for computational manga. Extracting line drawings from finished illustrations is one of the main tasks in drawing a manuscript and also a crucial task in the common painting process. However, traditional filters such as Sobel, Laplace, and Canny cannot output good results and require manual adjustments of the parameters. In order to address these problems, in this paper, we propose progressive full data convolutional neural networks for extracting lines from anime-style illustrations. Experimental results show that our progressive full data convolutional neural networks not only can learn as much as processing methods for the detailed regions, but also can accomplish the target extraction work with only a small training dataset.

Asymptotic Expansion Technique for Evaluating the Uncertainty of Moist-Air Density Formula

Asymptotic expansion technique can evaluate the measurement uncertainty by classifying an output quantity into a measured value and its correction values. The asymptotic expansion technique combines simultaneous observations of input quantities into the output measured value. The asymptotic expansion technique is useful in evaluating a multi-variate output quantity such as the moist-air density formula (CIPM-2007), in which covariances among input quantities could complicate the evaluation of measurement uncertainty. This study demonstrates that both the Taylor’s series expansion and the chain rule of differentiation are enough to calculate the sensitivity coefficients for the CIPM-2007 air density formula. The measurement uncertainty is found to be greater than the original CIPM-2007 formula by two orders of magnitude. It is because the uncertainty of correction values come from a commercial instrument for monitoring laboratory environments. Nevertheless, the asymptotic expansion technique is useful for measurement uncertainty evaluation to avoid subtle problems of ignoring covariance of input quantities in the literature.

An Optical Inclinometer Exploiting Magnetic Fluids

Among sensors using magnetic fluids, inclinometers are seriously addressed by the scientific community. This paper deals with an optical inclinometer exploiting a ferrofluid (FF) mass, a magnetic shaping system and an InfraRed (IR) readout strategy. A dedicated paradigm is also proposed, with the aim of defining a calibration model relating the inclinometer output quantity to the imposed tilt. The working range of the inclinometer is [−15°–15°]; the sensor accuracy and resolution are 0.61° and 0.005°, respectively. Moreover, the device shows a span-to-resolution ratio of 6 × 103.