3419898
Gain in Transparency versus Investment in the EPC Network - Analysis and Results of a Discrete Event Simulation Based on a Case Study in the Fashion Industry
The diffusion rate of Radio Frequency Identification (RFID) technology in supply chains is lower than expected. The main reason is the doubtful Return On Investment (ROI) mainly due to high tag prices. In this contribution, we leverage a prototypical RFID implementation in the fashion industry, extend this prototype by a discrete event simulation, and discuss the impact of an Electronic Product Code (EPC)-enabled supply chain concerning higher visibility. Thereby, we illustrate the benefit of the EPC network for Supply Chain Event Management (SCEM). Future researchers are provided with the simulation data which is available online and can be investigated.
9477654
An Aggregating Discovery Service for the EPCglobal Network
Although the achievements of EPCglobal standardization efforts in the last years are substantial and the diffusion of the EPCglobal network continues, a service to access item-level information stored at potentially unknown supply chain partners is still missing. Without this 'Discovery Service' the EPCglobal network cannot be used with unknown business partners. In this contribution we present a novel Discovery Service approach. In contrast to other Discovery Service approaches we use the Discovery Service to aggregate the data of interest. This eliminates problems other approaches cannot solve, e.g. assuring data ownership, low access control maintenance effort, and minimal complexity for the information requester. We present a requirements model, describe the implementation of our Discovery Service approach, and compare it to existing Discovery Service approaches. Finally we show how to overcome scalability challenges to implement our Discovery Service approach in a real-world environment.
44711307
Estimation of class membership functions for grey-level based image fusion
In this paper we propose a new unsupervised method for estimating class membership functions from statistical data. It combines in an original way information derived from the histogram as well as prior knowledge of the requirements that the functions must satisfy and that cannot be derived from the histogram. The method has been tested successfully on MR brain images, and applications to image fusion are illustrated.
9329311
Intersection Line Length Normalization in CT Projection Data
We present a method to improve the quality of common sinogram restoration algorithms, which are used for metal-artifact reduction in X-ray CT. The presented approach is based on the idea that the intersection length of all beams through the object of interest can approximately be calculated from a preliminary reconstruction of the object. Incorporating this information to the reconstruction allows significant reduction of streak artifacts. Additionally, it is shown that the information about intersection length may also be used to improve the detection of metal shadows within the sinogram.
16200249
Collaborative Smart Items
Business information systems provide computer support for decision making across huge data sets. Smart Items are miniaturized computer and sensing systems embedded into physical goods, items and assets. This paper proposes collaborative Smart Items for pushing business relevant computing as close as possible into the real world. Collaboration is enabled through an auction-based negotiation mechanism running distributed between the Smart Items. This mechanism serves as an abstraction across Smart Items in order to enable a common reasoning on business critical contexts as they may occur in logistics, safety and highly dynamic planning scenarios. In this paper, we investigate auction-based collaboration for Smart Items and present first experimental results. We conclude that auctions facilitate reliable business information processing even under harsh industrial conditions such as information loss or device failure.
13567817
Data Security in Service-Oriented Architectures
Due to standardized interfaces and loose coupling of services, serviceoriented architectures provide the possibility for close interaction between different organizations and communities. But this also introduces new risks: To have under control where which data is processed becomes increasingly difficult. This paper highlights that current approaches for ensuring data privacy and required security mechanisms are no longer adequate under these changing conditions and presents possible solutions discussed by researchers and developers. Additionally, economic implications of data privacy and security are considered.
205705738
A lacunary version of Mergelian's approximation theorem
Let K be a compact plane set having connected complement. Then Mergelian's theorem states that the linear span of the monomials z^n, i.e. the polynomials, are dense in the Banach space A(K) of all functions continuous on K and holomorphic in the interior of K endowed with the sup-norm. We consider the question under which conditions the linear span of z^n, with n running through a sequence of nonnegative integers having upper density one, is dense in A(K) or appropriate subspaces.