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RISS 인기검색어
- 검색키워드
- 저자 : Krafft (검색결과 3 건)
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Krafft, Kunt N.,Martin, Manfred The Korean Ceramic Society 1998 The Korean journal of ceramics Vol.4 No.2
We have measured changes of the non-stoichiometry, $\Delta\delta$, in Fe-doped nicked oxide .$(Ni_{1-x}Fe_x)_{1-\delta}O$, by thermogravimetry for four iron fractions, x=0.01, 0.031, 0.057 and 0.10, and three temperatures, T=1273, 1373 and 1473 K. The obtained data can be modelled by a defect structure in which substitutional trivalent iron ions, FeNi, are compensated by cation vacancies, $V_{Ni}$", and (4:1)-clusters. These clusters consist of tetravalent interstitial iron, $Fe_i\;^4$</TEX., surrounded tetrahedrally by four cation vacancies and are four times negatively charged.rged.
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Cystoscopic depth estimation using gated adversarial domain adaptation
Peter Somers,Simon Holdenried-Krafft,Johannes Zahn,Johannes Schüle,Carina Veil,Niklas Harland,Simon Walz,Arnulf Stenzl,Oliver Sawodny,Cristina Tarín,Hendrik P. A. Lensch 대한의용생체공학회 2023 Biomedical Engineering Letters (BMEL) Vol.13 No.2
Monocular depth estimation from camera images is very important for surrounding scene evaluation in many technical fieldsfrom automotive to medicine. However, traditional triangulation methods using stereo cameras or multiple views with theassumption of a rigid environment are not applicable for endoscopic domains. Particularly in cystoscopies it is not possibleto produce ground truth depth information to directly train machine learning algorithms for using a monocular image directlyfor depth prediction. This work considers first creating a synthetic cystoscopic environment for initial encoding of depthinformation from synthetically rendered images. Next, the task of predicting pixel-wise depth values for real images is constrainedto a domain adaption between the synthetic and real image domains. This adaptation is done through added gatedresidual blocks in order to simplify the network task and maintain training stability during adversarial training. Training isdone on an internally collected cystoscopy dataset from human patients. The results after training demonstrate the ability topredict reasonable depth estimations from actual cystoscopic videos and added stability from using gated residual blocks isshown to prevent mode collapse during adversarial training.
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ONLINE SHOPPING CART ABANDONMENT - CONSUMER MOTIVES AND EFFECTIVE COUNTERMEASURES
Julian F Allendorf,Mirja Kroschke,Manfred Krafft 글로벌지식마케팅경영학회 2018 Global Marketing Conference Vol.2018 No.07
Shopping cart abandonment of the online shopping process is a major challenge for firms. It describes the phenomenon that a potential customer starts a check out process for an online order but drops out of the process before completing the purchase. On average, 650 out of 1,000 customers do not convert (Baymard Institute 2017), which highlights the managerial relevance and impact of this phenomenon for online firms. Since shopping cart abandonment directly affects an online firm’s sales and revenue, researchers and practitioners likewise are interested in understanding why people leave a website without completing the shopping process and, more importantly, how to reduce online shopping cart abandonment. However, to date, research on these questions is scarce (e.g., Kukar-Kinney and Close 2010) and firms lack guidance how to deal with online shopping cart abandonment. The goal of this study is to investigate effective countermeasures that firms can use to reduce and prevent the likelihood of abandonment and thereby to increase the likelihood of a conversion. We conducted a field experiment in cooperation with a German accessories online retailer over three weeks (n = 8,467 shopping carts) and tested the effectiveness of a reminder pop-up window with a 10% discount vs. a reminder pop-up window without a discount vs. a control group. All online store visitors within the period were randomly assigned to one of three groups once they have put an item in the shopping cart. The pop-up windows appeared once they were about to click on the exit button. Our results indicate that a reminder pop-up window with a 10% discount significantly increases the conversion rate on the website compared to the control group, leading to an increase in revenue of approximately € 5,000. In contrast, a reminder pop up window a discount does not seem to reduce shopping cart abandonment. Further, we will investigate how this campaign affects the retailer’s overall profitability. In addition, using a laboratory experiment (n = 1,041) we replicated and extended our insights on effective countermeasures for shopping cart abandonment. People seem to be more likely to convert when there is a guest checkout option available. In sum, our research has important implications for researchers and online firms how to deal with online shopping cart abandonment.
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