Klaus Meyer-Wegener

Bio: Klaus Meyer-Wegener is an academic researcher from University of Erlangen-Nuremberg. The author has contributed to research in topics: Query optimization & Multimedia database. The author has an hindex of 17, co-authored 101 publications receiving 994 citations. Previous affiliations of Klaus Meyer-Wegener include Kaiserslautern University of Technology & Dresden University of Technology.

PRIMA - a DBMS Prototype Supporting Engineering Applications

Abstract: The design of the Molecule-Atom Data model, aimed at the effective support of engineering applications, is justified and described with its essential properties and features. MAD offers direct and symmetric management of network structures and recursiveness, dynamic object definition and object handling allowing for both vertical and horizontal access. Its prototype implementation PRIMA is discussed using a multi-level model for the DBMS architecture. Our DBMS kernel provides a variety of access path structures, tuning mechanisms, and performance enhancements transparent at the data model interface. PRIMA is assumed to be used in different run-time environments including workstation coupling and multi-processor systems. In particular, it serves as a research vehicle to investigate the exploitation of ‘semantic parallelism’ in single user operations.

Standardising on workflow-management—the OMG workflow management facility

Abstract: With over 800 members, the Object Management Group (OMG) is the largest international consortium of the software industry. Its goal is not only to promote the use of object technology in general but also to define and standardise on a common architectural framework across heterogeneous hardware platforms and operating systems, called the Object Management Architecture (OMA) [13]. In the standardisation process, the OMG focuses on commercially available object technology. So far, the OMG's efforts have been very successful; most of the specifications have met broad acceptance and are implemented by commercial products. Since 1995, the OMG has followed the plan to extend their reference architecture (see [13,18,36]) with a component that supports workflow management. OMG technology, especially the Common Object Request Broker Architecture (CORBA), and workflow management primarily address the same target users: large, distributed organisations with heterogeneous IT platforms. Therefore, it is quite obvious that a big synergy grows out of the integration of both technologies in building large-scale enterprise solutions.The promotion of workflow management standards is also the goal of another international body, the Workflow Management Coalition (WfMC) [3,31]. Since 1993, the WIMC has produced a number of specifications, mainly an interface model together with interface specifications for workflow management systems [32,33,34,35]. The OMG always assumed that the WIMC standards would fit nicely into the OMA. But in late 1996 it was recognized [23] that the interfaces of the WfMC specifications do not fit seemlessly into the OMG model and that the WfMC will probably fall to meet OMG's expectations (see also [19,22]). Therefore, in January 1997, the OMG Common Facility Task Force voted to reject the WfMC's motion to submit their standards to OMG on a fast-track approval process rather than going through the usual OMG standardisation procedure. The usual OMG process is based on a RFP (Request For Proposals) seeking for submissions for a particular area of standardisation. In almost all cases several submissions emerge which are combined into one revised submission. This submission is voted on and in case of a positive vote adopted by OMG. In early 1997, the OMG established the Workflow workgroup [30] with the charter to create and issue an RFP for an OMG Workflow Management Facility (WfMF). In May 1997, the RFP [15] was issued, asking the software industry for submissions for this new architectural component.This report gives a brief overview of the architectural context, the requirements of the RFP and a short evaluation of the initial submissions. An outlook to potential topics for future workflow RFPs that are collected in a Workflow roadmap document concludes the report.

From radio telemetry to ultra-low-power sensor networks: tracking bats in the wild

Abstract: Sensor networks have successfully been used for wildlife monitoring and tracking of different species. When it comes to small animals such as smaller birds, mammals, or even insects, the current approach is to use extremely lightweight RF tags located using radio telemetry. A new quantum leap in technology is needed to overcome this limitation and enable new ways to observe larger numbers of small animals. In an interdisciplinary team, we are working on the different aspects of such a new technology. In particular, we report on our findings on a sensor- network-based tracking solution for bats. Our system is based on integrated localization and wireless communication protocols for ultra-lowpower systems. This requires coding techniques for improved reliability as well as ranging solutions for tracking hunting bats. We address the technological and methodical problems related to system design, software support, and protocol design. First field experiments have been conducted that showcase the capabilities of our system.

Runtime adaptation in a service-oriented component model

Abstract: Developing software applications which manage, optimize or adapt themselves at runtime requires an architecture which provides adaptation of software components at runtime. An architecture model that has gained a lot of attention in recent years is SOA (service-oriented architecture). In a SOA environment services as well as applications build up complex dependencies. Therefore it is crucial for self-managing SOA applications to adapt services at runtime without interference of the application execution and the service availability. In this paper, we discuss the problems arising from the requirement of runtime adaptation and present our solution by replacing service implementations at execution time in a service-oriented component model. For a seamless integration we strive for a transparent and atomic replacement of a service implementation in respect to the other services/applications.

NEOCR: a configurable dataset for natural image text recognition

Abstract: Recently growing attention has been paid to recognizing text in natural images. Natural image text OCR is far more complex than OCR in scanned documents. Text in real world environments appears in arbitrary colors, font sizes and font types, often affected by perspective distortion, lighting effects, textures or occlusion. Currently there are no datasets publicly available which cover all aspects of natural image OCR. We propose a comprehensive well-annotated configurable dataset for optical character recognition in natural images for the evaluation and comparison of approaches tackling with natural image text OCR. Based on the rich annotations of the proposed NEOCR dataset new and more precise evaluations are now possible, which give more detailed information on where improvements are most required in natural image text OCR.

Consistent set of interfaces derived from a business object model

Abstract: Methods and systems consistent with the present invention provide a data processing system having a business object model reflecting the data used during a business transaction. Consistent interfaces are generated from the business object model. These interfaces are suitable for use across industries, across businesses, and across different departments within a business during a business transaction.

Multivariate Density Estimation

Abstract: Exploring and identifying structure is even more important for multivariate data than univariate data, given the difficulties in graphically presenting multivariate data and the comparative lack of parametric models to represent it. Unfortunately, such exploration is also inherently more difficult.

Designing an Super-Peer Network

Abstract: A super-peer is a node in a peer-to-peer network that operates both as a server to a set of clients, and as an equal in a network of super-peers. Super-peer networks strike a balance between the efficiency of centralized search, and the autonomy, load balancing and robustness to attacks provided by distributed search. Furthermore, they take advantage of the heterogeneity of capabilities (e.g., bandwidth, processing power) across peers, which recent studies have shown to be enormous. Hence, new and old P2P systems like KaZaA and Gnutella are adopting super-peers in their design. Despite their growing popularity, the behavior of super-peer networks is not well understood. For example, what are the potential drawbacks of super-peer networks? How can super-peers be made more reliable? How many clients should a super-peer take on to maximize efficiency? we examine super-peer networks in detail, gaming an understanding of their fundamental characteristics and performance tradeoffs. We also present practical guidelines and a general procedure for the design of an efficient super-peer network.

Text Detection and Recognition in Imagery: A Survey

Abstract: This paper analyzes, compares, and contrasts technical challenges, methods, and the performance of text detection and recognition research in color imagery It summarizes the fundamental problems and enumerates factors that should be considered when addressing these problems Existing techniques are categorized as either stepwise or integrated and sub-problems are highlighted including text localization, verification, segmentation and recognition Special issues associated with the enhancement of degraded text and the processing of video text, multi-oriented, perspectively distorted and multilingual text are also addressed The categories and sub-categories of text are illustrated, benchmark datasets are enumerated, and the performance of the most representative approaches is compared This review provides a fundamental comparison and analysis of the remaining problems in the field