Do retailers benefit from the long tail phenomenon?

The Internet and related technologies have vastly expanded the variety of products that can be profitably promoted and sold by online retailers. As a result, while in most offline markets, a few best selling products (blockbusters) generate the bulk of demand, online demand for blockbusters is often accompanied by sales for a huge number of less-selling products (niches). In response to emerging long-tailed sales distribution patterns, Anderson (2004, 2006) coined the phrase Long Tail to describe the phenomenon that niche products can gain a significant share in total sales. Most important from a retailers' perspective is whether additionally offered niche products mainly substitute former existing ones or if consumers expand their demand. While the latter can generate additional profit, substitution is only beneficial if substitutes have higher margins than products that were purchased before. By using a unique data set of a monopolistic video-on-demand operator in Germany that covers all individual sales since its launch from December 2004 until August 2007, we disentangle demand for additional offered films into substitution and additional consumption. Our results reveal that demand of additionally offered films is driven by on average 86.10% additional consumption and only 13.90% substitution, suggesting huge profit potential for retailers by increasing their assortments. © 2010 IADIS

Eine präzise Multilevel-Testbench zur Systemsimulation und Charakterisierung einer 2,5 GHz PLL

In diesem Aufsatz wird eine präzise Multilevel-Testbench zur PLL-Charakterisierung vorgestellt. Die Schwerpunkte dieses Beitrags sind einerseits das 10 GHz VCO-Design und andererseits die vorhersagefähigen Ergebnisse der mit Hilfe dieses Multilevelansatzes durchgeführten PLL-Systemsimulationen. <br><br> Bei dem VCO-Design wurden folgende Ergebnisse erreicht: Abstimmbereich ≈26% bzw. kvco≈1300 MHz/V, Phasenrauschen PN=–101,4 dBc/Hz @1 MHz Offset vom 10 GHz Träger, Leistungsverbrauch = 5,5 mW. Als realistisches Demonstrationsbeispiel ist das „analog mixed signal“-Verhalten eines 2,5 GHz PLL-Systems für „dual-conversion“-Strukturen bei IEEE 802.11a WLAN-Anwendungen gewählt worden. Für dieses Beispiel wird eine effiziente PLL-Modellierung kritischer PLL-Blöcke (Frequenzteiler und Phasenfrequenzdetektor) auf der Basis der PSS-Analyse und neuer Verilog-A/MS Befehle demonstriert. Die dabei verwendete Testbench kann im Prinzip in verschiedenen aktuellen Wireless Kommunikationssystemen bis 10 GHz wieder verwendet werden (Reuse-IP). Dieser Ansatz führt einerseits zur Verbesserung der Simulationszeiten (verglichen mit dem Transistorlevel) und andererseits zu genaueren und realistischeren Ergebnissen, vor allem am VCO-Ausgang (verglichen mit dem HDL-Level)

Mathematical and physical approaches to infer absolute zenith wet delays from double differential interferometric observations using ERA5 atmospheric reanalysis

Atmospheric water vapor (WV) is one of the driving constituents of the atmosphere. The modelling and forecasting of WV and derived quantities like precipitable water is reliable on regional scales but challenging on small scales because of its high spatial and temporal variation. Interferometric synthetic aperture radar (InSAR) can be exploited to retrieve integrated atmospheric water vapor (IWV) from path delay observations along the radar line of sight. InSAR-derived IWV maps feature a very high spatial resolution but the double-differential interferometric observations only provide changes of IWV between acquisition times and with respect to a certain spatial reference. In this study we present a method to derive the absolute IWV by combining ERA5 numerical weather model data with differential path delay observations from InSAR time series. We propose different functional approaches to merge the regional trend of WV from ERA5 with the high resolution IWV signal from InSAR. We apply this to a Sentinel-1 Persistent Scatterer InSAR time series in the Upper Rhine Graben and validate against IWV observations at GNSS stations of the Upper Rhine Graben Network

Summer Field Day Scheduled for ISU Northern Iowa Research Farm

Crop management, nitrogen management, and crops grown for an energy source will be highlighted topics of the summer field day at the Iowa State University Northern Research and Demonstration Farm. The field day will take place June 25, at the farm’s northern location at 310 S. Main St., Kanawha, immediately south of town on county road R-35

Mapping with Skysat Images

The very high-resolution space imagery now competes with some functions that were previously solved with aerial images. Several very high-resolution optical satellites with a ground sampling distance (GSD) of 1 m and smaller are currently active. Not all of these satellites take images worldwide. Nevertheless, it is not a problem to obtain up-to-date satellite images with a very high resolution. Mapping projects not only need to consider access and quality, but also cost-effectiveness. Of course, the economic framework conditions are decisive for the decision as to whether space images or very high-resolution satellite images should be used. With a total 21 SkySat satellites, low-cost satellites with very high resolution have changed the economic conditions. To keep costs and weights down, the Skysat satellites were not designed to offer the best direct geo-referencing performance, but this problem can be solved by automatic orientation in relation to existing orthoimages.In North Rhine-Westphalia, the cadastral maps must be checked at regular intervals to ensure that the buildings are complete. A test project examined whether this is possible with SkySat images. The geometric conditions and the image quality with the effective ground resolutions are investigated. Experiences from earlier publications could not be used. First the specific problem had to be solved, the resolution of the SkySat images was improved by lowering the satellite orbit altitude from 500 km to 450 km and by a better super resolution with 0.50 m ground sampling distance for the SkySat Collect orthoimages and in addition Planet improved their generation of Collect images. The required standard deviation of the object details of 4 m was achieved clearly as the effective ground resolution of 0.5 m if the angle of incidence is below 20°

ReS²tAC—UAV-borne real-time SGM stereo optimized for embedded ARM and CUDA devices

With the emergence of low-cost robotic systems, such as unmanned aerial vehicle, the importance of embedded high-performance image processing has increased. For a long time, FPGAs were the only processing hardware that were capable of high-performance computing, while at the same time preserving a low power consumption, essential for embedded systems. However, the recently increasing availability of embedded GPU-based systems, such as the NVIDIA Jetson series, comprised of an ARM CPU and a NVIDIA Tegra GPU, allows for massively parallel embedded computing on graphics hardware. With this in mind, we propose an approach for real-time embedded stereo processing on ARM and CUDA-enabled devices, which is based on the popular and widely used Semi-Global Matching algorithm. In this, we propose an optimization of the algorithm for embedded CUDA GPUs, by using massively parallel computing, as well as using the NEON intrinsics to optimize the algorithm for vectorized SIMD processing on embedded ARM CPUs. We have evaluated our approach with different configurations on two public stereo benchmark datasets to demonstrate that they can reach an error rate as low as 3.3%. Furthermore, our experiments show that the fastest configuration of our approach reaches up to 46 FPS on VGA image resolution. Finally, in a use-case specific qualitative evaluation, we have evaluated the power consumption of our approach and deployed it on the DJI Manifold 2-G attached to a DJI Matrix 210v2 RTK unmanned aerial vehicle (UAV), demonstrating its suitability for real-time stereo processing onboard a UAV

Contextual classification of point cloud data by exploiting individual 3d neigbourhoods

The fully automated analysis of 3D point clouds is of great importance in photogrammetry, remote sensing and computer vision. For reliably extracting objects such as buildings, road inventory or vegetation, many approaches rely on the results of a point cloud classification, where each 3D point is assigned a respective semantic class label. Such an assignment, in turn, typically involves statistical methods for feature extraction and machine learning. Whereas the different components in the processing workflow have extensively, but separately been investigated in recent years, the respective connection by sharing the results of crucial tasks across all components has not yet been addressed. This connection not only encapsulates the interrelated issues of neighborhood selection and feature extraction, but also the issue of how to involve spatial context in the classification step. In this paper, we present a novel and generic approach for 3D scene analysis which relies on (i) individually optimized 3D neighborhoods for (ii) the extraction of distinctive geometric features and (iii) the contextual classification of point cloud data. For a labeled benchmark dataset, we demonstrate the beneficial impact of involving contextual information in the classification process and that using individual 3D neighborhoods of optimal size significantly increases the quality of the results for both pointwise and contextual classification

Water vapor mapping by fusing InSAR and GNSS remote sensing data and atmospheric simulations

Data fusion aims at integrating multiple data sources that can be redundant or complementary to produce complete, accurate information of the parameter of interest. In this work, data fusion of precipitable water vapor (PWV) estimated from remote sensing observations and data from the Weather Research and Forecasting (WRF) modeling system are applied to provide complete grids of PWV with high quality. Our goal is to correctly infer PWV at spatially continuous, highly resolved grids from heterogeneous data sets. This is done by a geostatistical data fusion approach based on the method of fixed-rank kriging. The first data set contains absolute maps of atmospheric PWV produced by combining observations from the Global Navigation Satellite Systems (GNSS) and Interferometric Synthetic Aperture Radar (InSAR). These PWV maps have a high spatial density and a millimeter accuracy; however, the data are missing in regions of low coherence (e.g., forests and vegetated areas). The PWV maps simulated by the WRF model represent the second data set. The model maps are available for wide areas, but they have a coarse spatial resolution and a still limited accuracy. The PWV maps inferred by the data fusion at any spatial resolution show better qualities than those inferred from single data sets. In addition, by using the fixed-rank kriging method, the computational burden is significantly lower than that for ordinary kriging. © 2015 Author(s)

Prevalence in Primary School Youth of Pica and Rumination Behavior: The Understudied Feeding

Objective: Little epidemiological evidence exists on rumination disorder behavior (RB) and pica behavior (PB). We examined prevalence of RB and PB and presence of comorbid feeding/eating disorder symptoms among school-aged children. Methods: In elementary schools in Switzerland, 1,430 children (54.0% female) ages seven to 13 completed Eating Disorder Examination-Questionnaire for children (ChEDE-Q) and Eating Disturbances in Youth Questionnaire (EDY-Q). Results: EDY-Q data behavior frequency showed 9.7% reported RB only, 10.0% reported PB only, and 3.1% reported RB+PB (≥1 on 0-6 Likert scale). At a clinical cut-off score of ≥4 (at least “often true”), 1.7% had RB only, 3.8% had PB only, and 1.1% had RB+PB. Avoidant/restrictive food intake disorder symptoms were most common in those with RB+PB, and more common in those with RB or PB than those without. Degree of eating disorder symptoms (by ChEDE-Q) over the past 28 days were similar among those with RB, PB, or RB+PB, but less common in those without RB or PB. Discussion: RB and PB were commonly reported in our sample of school-aged children, even at a potential clinically significant cut-off. Our findings also suggest that degree of eating disorder symptom comorbidity is similar between those with RB and PB