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Institution

University of Paderborn

EducationPaderborn, Nordrhein-Westfalen, Germany
About: University of Paderborn is a education organization based out in Paderborn, Nordrhein-Westfalen, Germany. It is known for research contribution in the topics: Control reconfiguration & Software. The organization has 6684 authors who have published 16929 publications receiving 323154 citations.


Papers
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Journal ArticleDOI
TL;DR: A novel level shifter circuit that is capable of converting subthreshold to above-threshold signal levels and does not require a static current flow and can therefore offer considerable static power savings is proposed.
Abstract: In this brief, we propose a novel level shifter circuit that is capable of converting subthreshold to above-threshold signal levels. In contrast to other existing implementations, it does not require a static current flow and can therefore offer considerable static power savings. The circuit has been optimized and simulated in a 90-nm process technology. It operates correctly across process corners for supply voltages from 100 mV to 1 V on the low-voltage side. At the target design voltage of 200 mV, the level shifter has a propagation delay of 18.4 ns and a static power dissipation of 6.6 nW. For a 1-MHz input signal, the total energy per transition is 93.9 fJ. Simulation results are compared to an existing subthreshold to above-threshold level shifter implementation from the paper of Chen et al.

163 citations

Journal ArticleDOI
TL;DR: In this article, the authors present three studies, two experiments and one survey, in support of the notion that a greater understanding of loyalty program performance demands an expanded theoretical framework, and they provide insights into why and when loyalty programs fail and into the complex trade-offs managers face.
Abstract: Loyalty programs are a ubiquitous marketing tactic, yet many of them perform poorly and the reasons for loyalty program failure remain unclear to both marketing managers and researchers. This article presents three studies—two experiments and one survey—in support of the notion that a greater understanding of loyalty program performance demands an expanded theoretical framework. Specifically, researchers and managers must account for loyalty programs’ effects on both target and bystander customers in the firm’s portfolio, the simultaneous effects of three performance-relevant mediating mechanisms (gratitude, status, unfairness), and the contingent effects of program delivery (rule clarity, reward exclusivity, reward visibility) on specific mediating linkages. The results provide insights into why and when loyalty programs fail and into the complex trade-offs managers face. Loyalty programs have opposing effects on target and bystander customers’ loyalty and sales. While rule clarity suppresses both negative bystander as well as positive target effects, reward visibility enhances both types of effects. Exclusive rewards offer a means to alleviate negative bystander effects without affecting targets. The article both conceptually and empirically establishes a comprehensive analysis framework that can help marketing managers and researchers evaluate and improve loyalty program effectiveness.

162 citations

Proceedings ArticleDOI
22 May 2005
TL;DR: This work develops streaming (1 + ε)-approximation algorithms for k-median, k-means, MaxCut, maximum weighted matching (MaxWM), maximum travelling salesperson, maximum spanning tree, and average distance over dynamic geometric data streams.
Abstract: A dynamic geometric data stream consists of a sequence of m insert/delete operations of points from the discrete space 1,…,Δd [26]. We develop streaming (1 + e)-approximation algorithms for k-median, k-means, MaxCut, maximum weighted matching (MaxWM), maximum travelling salesperson (MaxTSP), maximum spanning tree (MaxST), and average distance over dynamic geometric data streams. Our algorithms maintain a small weighted set of points(a coreset) that approximates with probability 2/3 the current point set with respect to the considered problem during the m insert/delete operations of the data stream. They use poly (e-1, log m, log Δ) space and update time per insert/delete operation for constant k and dimension dHaving a coreset one only needs a fast approximation algorithm for the weighted problem to compute a solution quickly. In fact, even an exponential algorithm is sometimes feasible as its running time may still be polynomial in n. For example one can compute in poly(log n, exp(O((1+log (1⁄e)⁄e)d-1))) time a solution to k-median and k-means [21] where n is the size of the current point set and k and d are constants. Finding an implicit solution to MaxCut can be done in poly(log n, exp((1⁄e)O(1))) time. For MaxST and average distance we require poly(log n, e-1) time and for MaxWM we require O(n3) time to do this.

162 citations

Journal ArticleDOI
01 Mar 2016
TL;DR: The results show that the most important priority for the company when delegating RL activities to 3PRLPs is to focus on the core business, while reducing costs constitutes one of its least important priorities.
Abstract: We study a criteria evaluation system for outsourcing reverse logistics (ORL).A hybrid SWOT and intuitionistic fuzzy AHP model evaluates strategic factors in ORL.Triangular intuitionistic fuzzy numbers are used to model ambiguity and uncertainty.The proposed model is validated through a case study.Focusing on core business is shown to be the organization's strategic priority. We consider the problem faced by a company that must outsource reverse logistics (RL) activities to third-party providers. Addressing RL outsourcing problems has become increasingly relevant issue in the management science and decision making literatures. The correct evaluation and ranking of the decision criteria/priorities determining the selection of the best third-party RL providers (3PRLPs) is essential for the competitive performance of the outsourcing company. The method proposed in this study allows to identify and classify these decision criteria. First, the relevant criteria and sub-criteria are identified using a SWOT analysis. Then, Intuitionistic Fuzzy AHP is used to evaluate the relative importance weights among the criteria and the corresponding sub-criteria. These relative weights are implemented in a novel extension of Mikhailov's fuzzy preference programming method to produce local weights for all criteria and sub-criteria. Finally, these local weights are used to assign a global weight to each sub-criterion and create a ranking. We discuss the results obtained by applying the proposed model to a case study of a real company. In particular, these results show that the most important priority for the company when delegating RL activities to 3PRLPs is to focus on the core business, while reducing costs constitutes one of its least important priorities.

162 citations


Authors

Showing all 6872 results

NameH-indexPapersCitations
Martin Karplus163831138492
Marco Dorigo10565791418
Robert W. Boyd98116137321
Thomas Heine8442324210
Satoru Miyano8481138723
Wen-Xiu Ma8342020702
Jörg Neugebauer8149130909
Thomas Lengauer8047734430
Gotthard Seifert8044526136
Reshef Tenne7452924717
Tim Meyer7454824784
Qiang Cui7129220655
Thomas Frauenheim7045117887
Walter Richtering6733214866
Marcus Elstner6720918960
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023131
2022242
20211,030
20201,010
2019948
2018967