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There is a direct correlation between proposal success and proposal ethics, a fact which is independent of the proposal scope or the type of customer. To be successful, a proposal must result in a profit when measured within the t...
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There is a direct correlation between proposal success and proposal ethics, a fact which is independent of the proposal scope or the type of customer. To be successful, a proposal must result in a profit when measured within the total environment of present and future sales. A misleading or unethical proposal has little chance of leading to an immediate contract, is most likely to incur cost penalties if a contract does result, and is certain to reduce the probabilities for future sales. Unfortunately proposals tend to deal in that gray area between fact and fiction; the normal desire to present things in their most favorable light leads to misrepresentation. In his own professional interests the proposal engineer must learn to give an honest and accurate portrayal of his plan and his product.
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A novel technique is proposed to improve shallow induced polarization (IP) and resistivity survey results. We propose the apparent resistivity and apparent chargeability of second potential differences (SPD), employing two focused...
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A novel technique is proposed to improve shallow induced polarization (IP) and resistivity survey results. We propose the apparent resistivity and apparent chargeability of second potential differences (SPD), employing two focused sources (FS) mathematically manipulated by superposition. To test the idea, a synthetic model is developed with two bodies. The first body is a small shallow heterogeneity which is above the second and larger body. This synthetic model illustrates the shape and response of the apparent resistivity and chargeability for FS under the random noise and masking effect. These processes reduce electromagnetic coupling, telluric noise, contamination in channel links, and small heterogeneous responses. A field test of the SPD for FS was carried out in an agricultural site irrigated with wastewater, where contaminated water laden with metals has been accumulating for years in the soil. Soil samples were collected and analyzed throughout the geophysical survey to correlate the resistivity-IP results. Soil laboratory analysis included metal content, moisture content and texture. The parameters computed after applying the SPD for FS depicted a better lateral resolution where vertical and horizontal boundaries of the anomaly zones were well defined. It was possible to determine the low permeability horizontal layer made of clay-soil (called tepetate), which is a barrier for water and metals.
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Object detection in images is an important task in image processing and computer vision. Many approaches are available for object detection. For example, there are numerous algorithms for object positioning and classification in i...
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Object detection in images is an important task in image processing and computer vision. Many approaches are available for object detection. For example, there are numerous algorithms for object positioning and classification in images. However, the current methods perform poorly and lack experimental verification. Thus, it is a fascinating and challenging issue to position and classify image objects. Drawing on the recent advances in image object detection, this paper develops a region-based efficient network for accurate object detection in images. To improve the overall detection performance, image object detection was treated as a twofold problem, involving object proposal generation and object classification. First, a framework was designed to generate high-quality, class-independent, accurate proposals. Then, these proposals, together with their input images, were imported to our network to learn convolutional features. To boost detection efficiency, the number of proposals was reduced by a network refinement module, leaving only a few eligible candidate proposals. After that, the refined candidate proposals were loaded into the detection module to classify the objects. The proposed model was tested on the test set of the famous PASCAL Visual Object Classes Challenge 2007 (VOC2007). The results clearly demonstrate that our model achieved robust overall detection efficiency over existing approaches using fewer or more proposals, in terms of recall, mean average best overlap (MABO), and mean average precision (mAP).
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In this study, a simple and efficient process to purify fructo-oligosaccharides (FOS) from a fermentative broth was proposed using a single activated charcoal column. The FOS adsorption onto the activated charcoal was modeled by a...
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In this study, a simple and efficient process to purify fructo-oligosaccharides (FOS) from a fermentative broth was proposed using a single activated charcoal column. The FOS adsorption onto the activated charcoal was modeled by a pseudo-second order model. Several volumes and concentrations of water/ ethanol were studied to optimize the selective desorption of sugars from the broth mixture at 25℃. Mixtures containing 50.6% (w/w) of FOS (FOS content in the fermentative broth) were purified to 92.9% (w/w) with a FOS recovery of 74.5% (w/w). Moreover, with the proposed process, fractions with purity up to 97% (w/w) of FOS were obtained. This purification process was also found to be efficient in the desalting of the fermentative broth.
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In the present paper an estimator of the scale parameter was proposed which incorporates a preliminary test of significance. The expressions for bias and mean squared error (MSE) have been derived and compared the proposed estimat...
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In the present paper an estimator of the scale parameter was proposed which incorporates a preliminary test of significance. The expressions for bias and mean squared error (MSE) have been derived and compared the proposed estimator with the minimum variance unbiased (MVU). Numerical values of relative efficiency have been computed and also made the recommendation where the proposed estimator performs better than the MVU estimator.
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Sengupta and Sengupta (Int Econ Rev 35:347-359, 1994) consider a payoff configuration of a TU game as a viable proposal if it challenges each legitimate contender. Lauwers (Int Econ Rev 43:1369-1371, 2002) prove that the set of vi...
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Sengupta and Sengupta (Int Econ Rev 35:347-359, 1994) consider a payoff configuration of a TU game as a viable proposal if it challenges each legitimate contender. Lauwers (Int Econ Rev 43:1369-1371, 2002) prove that the set of viable proposals is nonempty for every game. In the present paper, we prove that the set of viable proposals coincides with the coalition structure core if there exists an undominated proposal; otherwise, it coincides with the set of accessible proposals. This characterization result implies that a proposal is a viable proposal if and only if it is undominated or accessible. Moreover, we prove that the set of viable proposals includes the minimal dominant set, which is another nonempty extension of the coalition structure core introduced by Koczy and Lauwers (Games Econ Behav 61:277-298, 2007). In particular, we prove that the set of viable proposals of a cohesive game coincides with the minimal dominant set.
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By solving the three-dimensional time-dependent Schrodinger equation, we study how to control the high-order harmonic generation (HHG) in a hydrogenlike neon, which is exposed to an extreme-ultraviolet (xuv) attosecond laser pulse...
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By solving the three-dimensional time-dependent Schrodinger equation, we study how to control the high-order harmonic generation (HHG) in a hydrogenlike neon, which is exposed to an extreme-ultraviolet (xuv) attosecond laser pulse followed by an infrared (ir) femtosecond pulse. The xuv pulse prepares the atom as a superposition of the ground state, the excited states, and the continuum. These three types of states provide different contributions to the high-order harmonics generated by the following it pulse. In particular, the contributions from the excited states and the continuum extend the cutoff frequency of the harmonic spectrum. Moreover, the effect of the carrier-envelope phase of the it pulse on the HHG has been studied. The structure of the laser-dressed atom can be imaged using this two-color scheme.
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摘要 :
By solving the three-dimensional time-dependent Schrodinger equation, we study how to control the high-order harmonic generation (HHG) in a hydrogenlike neon, which is exposed to an extreme-ultraviolet (xuv) attosecond laser pulse...
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By solving the three-dimensional time-dependent Schrodinger equation, we study how to control the high-order harmonic generation (HHG) in a hydrogenlike neon, which is exposed to an extreme-ultraviolet (xuv) attosecond laser pulse followed by an infrared (ir) femtosecond pulse. The xuv pulse prepares the atom as a superposition of the ground state, the excited states, and the continuum. These three types of states provide different contributions to the high-order harmonics generated by the following it pulse. In particular, the contributions from the excited states and the continuum extend the cutoff frequency of the harmonic spectrum. Moreover, the effect of the carrier-envelope phase of the it pulse on the HHG has been studied. The structure of the laser-dressed atom can be imaged using this two-color scheme.
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Many Americans take vacations this time of year. If the laboratory sector is resting, it is doing so uneasily at best. That's because the Centers for Medicare & Medicaid Services is not resting at all, distributing proposed rules and regulations that will pretty much determine how most labs will be paid in the coming year....
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Many Americans take vacations this time of year. If the laboratory sector is resting, it is doing so uneasily at best. That's because the Centers for Medicare & Medicaid Services is not resting at all, distributing proposed rules and regulations that will pretty much determine how most labs will be paid in the coming year.
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In this paper, a new method for generating object and action proposals in images and videos is proposed. It builds on activations of different convolutional layers of a pretrained CNN, combining the localization accuracy of the ea...
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In this paper, a new method for generating object and action proposals in images and videos is proposed. It builds on activations of different convolutional layers of a pretrained CNN, combining the localization accuracy of the early layers with the high informativeness (and hence recall) of the later layers. To this end, we build an inverse cascade that, going backward from the later to the earlier convolutional layers of the CNN, selects the most promising locations and refines them in a coarse-to-fine manner. The method is efficient, because (i) it re-uses the same features extracted for detection, (ii) it aggregates features using integral images, and (iii) it avoids a dense evaluation of the proposals thanks to the use of the inverse coarse-to-fine cascade. The method is also accurate. We show that DeepProposals outperform most of the previous object proposal and action proposal approaches and, when plugged into a CNN-based object detector, produce state-of-the-art detection performance.
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