检索结果-内蒙古大学图书馆

29th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2024

作者： Redeker, Magnus Quirin, Dennis Schroeder, Rafael Klausmann, Tobias Löwen, Alexander Wollbrink, Alexander Stichweh, Heiko Althoff, Simon Bender, Amelie Sextro, Walter Hesse, Marc Fraunhofer Iosb IOSB-INA Lemgo Fraunhofer Institute of Optronics System Technologies and Image Exploitation Germany Bielefeld University Cognitronics & Sensor Systems Germany Friedrich Remmert GmbH Germany R & D Systems Engineering Lenze Se Germany Paderborn University Faculty of Mechanical Engineering Dynamics and Mechatronics Paderborn33098 Germany Weidmüller Group Germany

ISBN: (纸本)9798350361230

The holistic application of data-driven value-adding services (DDSs) to shop-floor assets (SFAs;e.g. equipment, machines, components) is a major obstacle, particularly for small and medium-sized enterprises (SMEs): Due to the high complexity and required expertise in various disciplines. It is necessary to i) select suitable DDSs for a relevant component in production, ii) provide data for their training, iii) deploy the DDSs in the given IT/OT infrastructure, and iv) setup data-streams between SFAs, DDSs, and dashboards. Currently, many companies are implementing flagship projects that go through the necessary steps for individual components, but these isolated solutions are not scalable due to the need for manual intervention. This paper describes how to completely automatize the four steps and their consolidation in a scalable Industry 4.0 one-stop-shop solution. To achieve this goal, each asset is equipped with an Asset Administration Shell (AAS) that specifies, in particular, the represented asset's capabilities, the data required to apply such a capability and the data generated by a capability. Based on the AASs of SFAs, DDSs, and computing resources (CRs), a matching service suggests automatically which DDSs would add value to which SFAs and, for each SFA-DDS match, in which CR to deploy the DDS. A trade fair demonstration provides strong support for the statements made: The one-stop-shop solution including the automatic matching greatly simplifies the application of data-driven services and, in some cases, even makes it possible at all. © 2024 IEEE.

关键词： AAS-based one-stop-shop Industry 4.0-solution Data-driven value-adding services Shop-floor optimization

来源：评论

学校读者我要写书评

暂无评论

Efficient Domain Adaptation Using Individual Standardization in Bearing Fault Detection

Efficient Domain Adaptation Using Individual Standardization...

引用

International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Tarek Renusch Alexander Boschmann Michael Thies Bielefeld University Bielefeld Germany Weidmüller Interface GmbH & Co. KG Detmold Germany Cognitronics and Sensor Systems Group Bielefeld University Bielefeld Germany

ISBN: (数字)9798350361230

ISBN: (纸本)9798350361247

Condition monitoring of unseen machines or operating conditions has received increasing attention in recent years. This study presents a computationally efficient approach to domain adaptation inspired by individual standardization for different subjects employed in EEG emotion recognition. On unseen working conditions, the individual standardization approach increases model performance by 15% for ROC and by 34% for accuracy, compared to models without domain adaptation. The approach achieves competitive scores without changing any other model parameters.

关键词： Employee welfare Performance evaluation Adaptation models Computational modeling Standardization Performance gain Brain modeling Data models Optimization Monitoring

来源：评论

学校读者我要写书评

暂无评论

Towards a One-Stop-Shop Solution for the Application of Data-Driven Value-Adding Services in Production

Towards a One-Stop-Shop Solution for the Application of Data...

引用

International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Magnus Redeker Dennis Quirin Rafael Schroeder Tobias Klausmann Alexander Löwen Alexander Wollbrink Heiko Stichweh Simon Althoff Amelie Bender Walter Sextro Marc Hesse Fraunhofer IOSB IOSB-INA Lemgo Fraunhofer Institute of Optronics System Technologies and Image Exploitation Bielefeld University Cognitronics & Sensor Systems Friedrich Remmert GmbH R & D Systems Engineering - Lenze SE Faculty of Mechanical Engineering Chair of Dynamics and Mechatronics Paderborn University Paderborn Germany Weidmüller Group

ISBN: (数字)9798350361230

ISBN: (纸本)9798350361247

The holistic application of data-driven value-adding services (DDSs) to shop-floor assets (SFAs; e.g. equipment, machines, components) is a major obstacle, particularly for small and medium-sized enterprises (SMEs): Due to the high complexity and required expertise in various disciplines. It is necessary to i) select suitable DDSs for a relevant component in production, ii) provide data for their training, iii) deploy the DDSs in the given IT/OT infrastructure, and iv) setup data-streams between SFAs, DDSs, and dashboards. Currently, many companies are implementing flagship projects that go through the necessary steps for individual components, but these isolated solutions are not scalable due to the need for manual intervention. This paper describes how to completely automatize the four steps and their consolidation in a scalable Industry 4.0 one-stop-shop solution. To achieve this goal, each asset is equipped with an Asset Administration Shell (AAS) that specifies, in particular, the represented asset's capabilities, the data required to apply such a capability and the data generated by a capability. Based on the AASs of SFAs, DDSs, and computing resources (CRs), a matching service suggests automatically which DDSs would add value to which SFAs and, for each SFA-DDS match, in which CR to deploy the DDS. A trade fair demonstration provides strong support for the statements made: The one-stop-shop solution including the automatic matching greatly simplifies the application of data-driven services and, in some cases, even makes it possible at all.

关键词： Training Space vehicles Production systems Remotely guided vehicles Semantics sensors Laser beam cutting Streams Space stations Monitoring

来源：评论

学校读者我要写书评

暂无评论

A Bidirectional Object Tracking and Navigation System using a True-Range Multilateration Method

A Bidirectional Object Tracking and Navigation System using ...

引用

International Conference on Indoor Positioning and Indoor Navigation (IPIN)

作者： Cung Lian Sang Michael Adams Timo Korthals Timm Hörmann Marc Hesse Ulrich Rückert Cognitronics and Sensor Systems Group Bielefeld Univeristy Bielefeld Germany

In the past, several contributions and proposals for the implementation of Ultra-wideband (UWB)-based localization and positioning solutions on the system level were made. However, most of them are limited to a unidirectional approach, i.e. data communication is in one direction (from a transmitter to a receiver). This restricts the systems' use-case to either navigation or tracking. In this paper, we demonstrate an UWB-based bidirectional localization system which is capable of acting as both a navigation and tracking system in a single wireless platform. Regarding this, we proposed a complete set of such a system and outline the implementation process in the paper. A true-range multilateration method is used as a positioning algorithm in the implemented system, for which we proposed a novel Non-Line-of-Sight (NLOS) mitigation technique. The experimental evaluation of the proposed system was done in comparison with a commercially available UWB system. In the experiments, we used a Vicon camera system as a reference.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Comparative Study of UWB-based True-Range Positioning Algorithms using Experimental Data

A Comparative Study of UWB-based True-Range Positioning Algo...

引用

Workshop on Positioning, Navigation and Communication, WPNC

作者： Cung Lian Sang Michael Adams Marc Hesse Timm Hörmann Timo Korthals Ulrich Rückert Cognitronics and Sensor Systems Group CITEC Bielefeld Univeristy Bielefeld Germany

In this paper, we analyze five true-range positioning algorithms for UWB-based localization systems. The evaluated algorithms are: (i) trilateration using a geometric method, (ii) a closed-form multilateration solution using least squares, (iii) an iterative approach using first-order Taylor series, a recursive solution based on (iv) the Extended Kalman Filter (EKF), and (v) the Unscented Kalman Filter (UKF). In contrast to the existing comparative studies in literature, which are solely based on simulation results, our analysis is based on experimental evaluations. The evaluated algorithms are strictly chosen for a scenario, where a true-range multilateration method is applicable. True-range means the accuracy of the measured ranges is not influenced by the clock drift errors. The performance comparison of the five algorithms is examined and discussed in the paper.

关键词： Kalman filters Covariance matrices Q measurement Navigation Taylor series Standards Noise measurement

来源：评论

学校读者我要写书评

暂无评论

M2VAE – Derivation of a Multi-Modal Variational Autoencoder Objective from the Marginal Joint Log-Likelihood

arXiv

引用

arXiv 2019年

作者： Korthals, Timo Bielefeld University Cognitronics & Sensor Systems Inspiration 1 Bielefeld33619 Germany

This work gives an in-depth derivation of the trainable evidence lower bound (ELBO) obtained from the marginal joint log-Likelihood with the goal of training a multi-modal variational Autoencoder (M2VAE). Copyright &#... 详细信息

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Jointly Trained Variational Autoencoder for Multi-Modal sensor Fusion

Jointly Trained Variational Autoencoder for Multi-Modal Sens...

引用

International Conference on Information Fusion

作者： Timo Korthals Marc Hesse Jürgen Leitner Andrew Melnik Ulrich Rückert Bielefeld University Cognitronics & Sensor Systems Bielefeld Germany Australian Centre for Robotic Vision Queensland University of Technology Brisbane Australia

ISBN: (数字)9780996452786

ISBN: (纸本)9781728118406

This work presents the novel multi-modal Variational Autoencoder approach M 2 VAE which is derived from the complete marginal joint log-likelihood. This allows the end-to-end training of Bayesian information fusion on raw data for all subsets of a sensor setup. Furthermore, we introduce the concept of in-place fusion - applicable to distributed sensing - where latent embeddings of observations need to be fused with new data. To facilitate in-place fusion even on raw data, we introduced the concept of a re-encoding loss that stabilizes the decoding and makes visualization of latent statistics possible. We also show that the M 2 VAE finds a coherent latent embedding, such that a single naïve Bayes classifier performs equally well on all permutations of a bi-modal Mixture-of-Gaussians signal. Finally, we show that our approach outperforms current VAE approaches on a bi-modal MNIST & fashion-MNIST data set and works sufficiently well as a preprocessing on a tri-modal simulated camera & LiDAR data set from the Gazebo simulator.

关键词： Biological system modeling Encoding Robot sensing systems sensor fusion Training Decoding Laser radar

来源：评论

学校读者我要写书评

暂无评论

An Analytical Study of Time of Flight Error Estimation in Two-Way Ranging Methods

An Analytical Study of Time of Flight Error Estimation in Tw...

引用

International Conference on Indoor Positioning and Indoor Navigation (IPIN)

作者： Cung Lian Sang Michael Adams Timm Hörmann Marc Hesse Mario Porrmann Ulrich Rückert Cognitronics and Sensor Systems Group (CITEC) Bielefeld University Bielefeld Germany

In absence of clock synchronization, Two-Way Ranging (TWR) is the most commonly used technique for measuring the distance between two wireless transceivers. The existing time-of-flight (TOF) error estimation model, the IEEE 802.15.4-2011 standard, is specifically based on clock drift error. However, it is insufficient when an in-depth comparative analysis of different TWR methods is required. In this paper, we propose an extended TOF error estimation model for TWR methods, based on the IEEE 802.15.4 standard. Using the proposed model, we perform an analytical study of TOF error estimation among different TWR methods. The model is validated with numerical simulation results. Moreover, we demonstrate the pitfalls of the symmetric double-sided TWR (SDS-TWR) method, which is commonly used to reduce the TOF error due to clock drifts.

关键词： Delays Clocks Distance measurement Error analysis Delay effects Wireless communication Transceivers

来源：评论

学校读者我要写书评

暂无评论

Path evaluation via HMM on semantical occupancy grid maps

arXiv

引用

arXiv 2018年

作者： Korthals, Timo Exner, Julian Schöpping, Thomas Hesse, Marc Bielefeld University Cluster of Excellence Cognitive Interaction Technologies Cognitronics & Sensor Systems Inspiration 1 Bielefeld33619 Germany

Traditional approaches to mapping of environments in robotics make use of spatially discretized representations, such as occupancy grid maps. Modern systems, e.g. in agriculture or automotive applications, are equipped with a variety of different sensors to gather diverse process-relevant modalities from the environment. The amount of data and its associated semantic information demand for broader data structures and frameworks, like semantical occupancy grid maps (SOGMs). This multi-modal representation also calls for novel methods of path planning. Due to the sequential nature of path planning as a consecutive execution of tasks and their ability to handle multi-modal data as provided by SOGMs, Markovian models, such as Hidden Markov Models (HMM) or Partially Observable Markov Decision Processes, are applicable. Furthermore, for these techniques to be applied effectively and efficiently, data from SOGMs must be extracted and refined. Superpixel algorithms, originating from computer vision, provide a method to de-noise and re-express SOGMs in an alternative representation. This publication explores and extends the use of superpixel segmentation as a post-processing step and applies Markovian models for path decoding on SOGMs. Copyright © 2018, The Authors. All rights reserved.

关键词： Hidden Markov models

来源：评论

学校读者我要写书评

暂无评论

Development of Energy Models for Design Space Exploration of Embedded Many-Core systems

arXiv

引用

arXiv 2018年

作者： Klarhorst, Christian Flasskamp, Martin Ax, Johannes Jungeblut, Thorsten Kelly, Wayne Porrmann, Mario Rückert, Ulrich Cognitronics and Sensor Systems Group Bielefeld University Citec Bielefeld Germany Science and Engineering Faculty Queensland University of Technology Brisbane Australia

This paper introduces a methodology to develop energy models for the design space exploration of embedded many-core systems. The design process of such systems can benefit from sophisticated models. Software and hardware can be specifically optimized based on comprehensive knowledge about application scenario and hardware behavior. The contribution of our work is an automated framework to estimate the energy consumption at an arbitrary abstraction level without the need to provide further information about the system. We validated our framework with the configurable many-core system CoreVA-MPSoC. Compared to a simulation of the CoreVAMPSoC on gate level in a 28nm FD-SOI standard cell technology, our framework shows an average estimation error of about 4 %. Copyright © 2018, The Authors. All rights reserved.

关键词： Energy utilization

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：