检索结果-内蒙古大学图书馆

IEEE Conference on Commerce and Enterprise Computing, CEC

作者： Stefan Biffl David Hoffmann Elmar Kiesling Kristof Meixner Arndt Lüder Dietmar Winkler CDL-SQI Institute of Information Systems Engineering TU Wien CDP Vienna Austria Institute of Factory Automation Otto von Guericke University Magdeburg Germany Institute of Data Process and Knowledge Management WU Wien Vienna Austria SBA Research gGmbH Vienna Austria

Information systems are key facilitators for production planning, configuration, and monitoring in increasingly flexible Cyber-Physical Production systems (CPPSs), such as automated welding lines for joining car parts. The guideline VDI 2206 provides a V-model to organize the engineering disciplines. It emphasizes the importance of validation in CPPS engineering but provides limited guidance on the up-front specification and validation of test scenarios. This paper introduces the Production Test Scenario Validation (PTSV) approach to validate to what extent a multi-view CPPS design model and associated data sources from production engineering and operation represent the concepts used in test scenarios. The PTSV (i) elicits concepts in pre- and post-conditions of production test scenarios, (ii) maps these concepts to a multi-view CPPS design model, such as a production asset network, and (iii) identifies mismatches between production test scenarios and CPPS design models, such as missing model elements or data sources required for validation. We evaluated the effectiveness and efficiency of the approach in a feasibility study on a real-world welding line for joining car parts. The results indicate that the PTSV is feasible and effective for improving the capability to measure and analyze outcomes of test scenarios in CPPS engineering according to the VDI 2206.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Continuous Shortest Path Vector Field Navigation on 3D Triangular Meshes for Mobile Robots

Continuous Shortest Path Vector Field Navigation on 3D Trian...

引用

IEEE International Conference on Robotics and Automation (ICRA)

作者： Sebastian Pütz Thomas Wiemann Malte Kleine Piening Joachim Hertzberg Knowledge Based Systems Institute of Computer Science Osnabrück University Plan-Based Robot Control German Research Center for Artificial Intelligence DFKI

We present a highly efficient approach to compute continuous shortest path vector fields on arbitrarily shaped 3D triangular meshes for robot navigation in complex real-world outdoor environments. The continuity of the vector field allows to query the shortest distance, direction and geodesic path to the goal at any point within the mesh triangles, resulting in accurate paths. In order to avoid impassable areas, our wavefront propagation method runs on a modular extendable multilayer map architecture taking different geometric cost layers into account. We describe the mathematical foundation of the geodesic distances and continuous vector field computation and demonstrate the performance in real-world and multilevel environments on our campus with a tunnel, ramps and stair- cases, and in a difficult, steep forest area with a stone quarry. For reproducibility, we provide a ready-to-use ROS software stack as well as Gazebo simulations.

关键词： Three-dimensional displays Runtime Costs Navigation Robot kinematics Computational modeling Forestry

来源：评论

学校读者我要写书评

暂无评论

A pan-crop metagenomic exploration of microbial communities linked to pesticide and xenobiotic degradation pathways in agricultural microbiomes

引用

Discover Agriculture 2025年第1期3卷 1-17页

作者： Prabha, Ratna Samota, Mahesh K. Verma, M. K. Gupta, Shailendra Rai, Anil Dubey, S. C. Singh, D. P. Division of Agricultural Bioinformatics ICA-Indian Agricultural Statistics Research Institute New Delhi India Agricultural Knowledge Management Unit (AKMU) ICAR-Indian Agricultural Research Institute New Delhi India Chhattisgarh Swami Vivekananda Technical University Bhilai India ICAR-CIPHET Abohar India Department of Systems Biology and Bioinformatics University of Rostock Rostock Germany Indian Council of Agricultural Research New Delhi India ICAR-Indian Institute of Vegetable Research Varanasi India

Microbes inhabiting rhizosphere and soils of close vicinity of plants play a pivotal role in plant growth promotion, enhance plant fitness, and improve soil fertility through the cycling of different nutrients like carbon, nitrogen, sulphur etc. The study of rhizosphere and soil-associated microbiome can enhance our knowledge about different genes (known and novel, both) and pathways associated with various metabolic activities of immense importance. Current agricultural system is heavily dependent on numerous synthetic chemicals like insecticides, fungicides, and herbicides. Regular application of such chemicals has raised the issues of environmental pollution and imposed severe risks on human beings. With extensive research, microbes are now established as the most important means of pesticide degradation. The current study focuses on the identification of different genes and pathways involved in the degradation and remediation of various xenobiotics and their components in the 105 different metagenome and metatranscriptome samples of rhizosphere or associated soil of seven different crops, i.e. wheat, oat, pea, soybean, sugarcane, kodo and common bean. For different kinds of xenobiotics components, biodegradation and associated metabolism were analyzed and numerous gene and enzymes associated with these processes were identified. Statistical and computational analyses revealed several significant pathways, including benzoate degradation, central meta-cleavage pathway, salicylate and gentisate catabolism, and phenylacetyl-CoA catabolic pathway. Identified genes/enzymes are important for degradation of various xenobiotic including constituents of different pesticides. To facilitate access to this information, the researchers developed XenMetaDB, a comprehensive online database cataloging all identified enzymes and pathways, accessible at http://***/xenmetadb/ . Identification of xenobiotics degradating enzymes, genes and their further utilization

关键词：

来源：评论

学校读者我要写书评

暂无评论

An Efficient Alternative for Modeling Spatial Prepositions with RDF Helper Nodes based on the Environment Perception of a Mobile Robot 28

An Efficient Alternative for Modeling Spatial Prepositions w...

引用

28th IEEE International Symposium on Industrial Electronics, ISIE 2019

作者： Mohammed Saeed, Nazeer T. Weber, Christian Fathi, Madjid Kuhnert, Klaus-Dieter Institute of Real-Time Learning Systems University of Siegen Siegen Germany Institute of Knowledge Based Systems and Knowledge Management University of Siegen Siegen Germany

ISBN: (纸本)9781728136660

Today, thanks to the advancement of robotics and intelligent new technologies, robots are entering more and more into different areas of human life. In doing so, the interaction between humans and robots, involving solving tasks both supervised and collaborative, becomes increasingly important as they both rely on smart approaches for communication. Throughout the human-robot and robot-robot communication, the utilized technology has to be able to describe information that is semantically rich, structurally efficient concerning description and time efficient regarding the retrieval of information. This work utilizes the resource description framework (RDF), as one of the core technologies of the semantic web to describe the navigation of a mobile robot semantically in an ontology which is populated in real-time. This research proposes a new and efficient way of expressing semantic relationships within the navigation ontology by using helper nodes. In contrast to existing approaches, it could be shown that the use of helper nodes can cut down the generation of nodes by a factor of two, improving the storage but also the utilization for a time efficient communication. © 2019 IEEE.

关键词： Navigation

来源：评论

学校读者我要写书评

暂无评论

A modified Weibull model for service life prediction and spare parts forecast in heat treatment industry

引用

Procedia Manufacturing 2021年 54卷 172-177页

作者： Klaudia Kovacs Fazel Ansari Wilfried Sihn Fraunhofer Austria Research GmbH Division of Production and Logistics Management Vienna 1040 Austria TU Wien Institute of Management Science Research Group of Smart and Knowledge-Based Maintenance Vienna 1040 Austria

The ongoing digitization of the industry leads to new opportunities in industrial maintenance. Several concepts for smart maintenance have been published in literature, however, their application remains limited in industrial practice. To close the existing gap between research and practice, a novel practice-oriented approach is presented. A modified Weibull model is developed and embodied into a digital assistance system to visualize and predict remaining service life and to forecast the required number of spare parts. The developed model has been implemented in the use case in the heat treatment industry, and the results are presented to demonstrate the effectiveness of the proposed approach.

关键词： Digitalization Smart maintenance Service life prediction Weibull distribution Spare parts forcast

来源：评论

学校读者我要写书评

暂无评论

引用

1st IEEE Industrial Electronics Society Annual On-Line Conference, ONCON 2022

作者： Constantin, Alexandru-Ionel Marin, Dorian Anghelita, Paula Serban, Ioan Tiberiu Morari, Cristian Iosif, Gabriela National Institute for Research and Development in Electrical Engineering ICPE-CA University Politehnica of Bucharest Laboratory of Photovoltaic Systems Romania National Institute for Research and Development in Electrical Engineering ICPE-CA Laboratory of Photovoltaic Systems Bucharest Romania University Politehnica of Bucharest National Institute for Research and Development in Electrical Engineering ICPE-CA Faculty of Power Engineering Bucharest Romania National Institute for Research and Development in Electrical Engineering ICPE-CA Bucharest Laboratory of Electromagnetic Compatibility Romania Office of Management for Knowledge and Information National Institute for Research and Development in Electrical Engineering ICPE-CA Bucharest Romania

ISBN: (纸本)9798350398069

The paper presents a case study related to the maintenance and on-site detection of faulty photovoltaic (PV) panels in a 14 years old on-grid system with a peak power of 17.82 kW from the National institute for Research and Development for Energy (INCDE ICEMENERG Bucharest) using a thermal camera, followed by the on-site measurement of the output power of a healthy and some PV panels with faults (hot spots and bypass activated diode) by Current-Voltage (I-V) and Power-Voltage (P-V) curves using an HT I-V 400. Laboratory tests were performed at Standard Test Condition (STC) at the National institute for Research and Development in Electrical Engineering ICPE-CA, Laboratory of Photovoltaic systems using a PASAN Highlight Solar Simulator for the same PV panels and also electroluminescence tests were performed in order to determine the cause of the faults. based on the results some panels can be repaired or changed with new ones in order to increase the PV system efficiency. © 2022 IEEE.

关键词： Infrared devices

来源：评论

学校读者我要写书评

暂无评论

Research on Conceptual Model of the Remote Sensing Big Data Workflow 5

Research on Conceptual Model of the Remote Sensing Big Data ...

引用

5th International Conference on E-Business, Information management and Computer Science, EBIMCS 2022

作者： Du, Ying Zhang, Shuo Kaabar, Mohammed K.A. Yue, Xiao-Guang School of Computer and Information Engineering Henan University Kaifeng475004 China Institute of Mathematical Sciences Faculty of Science University Malaya Kuala Lumpur50603 Malaysia Department of Computer Science and Engineering European University Cyprus Nicosia1516 Cyprus Department of Information and Knowledge Management School of Consumer Intelligence and Information Systems University of Johannesburg Apk Campus Johannesburg2006 South Africa

ISBN: (纸本)9781450397834

Remote sensing big data workflows are formed by combining workflow and the remote sensing data processing system, and have the capabilities of remote sensing data processing, analysis, and visualization. There are many issues such as numerous sensors, sophisticated processing algorithms, and lacking of a unified process management about the operation control of the remote sensing data processing system. Therefore, the concept and characteristics of remote sensing big data workflows is reanalysed and the metamodel of remote sensing big data workflows from different aspects is constructed in order to establish a conceptual framework of them, and thus establish concept framework of Remote Sensing Big Data Workflow. © 2022 ACM.

关键词： Remote sensing

来源：评论

学校读者我要写书评

暂无评论

Influence of Human Resource management Practices in Medium Sized Organization on Employee Performance

Influence of Human Resource Management Practices in Medium S...

引用

Disruptive Technologies (ICDT), International Conference on

作者： T. Varun Kaniphnath Malhari Kudale Kvb Ganesh M. Ramkumar Department of Management Studies Anna University Chennai Tamil Nadu India Department of Humanities and Social Sciences (H & SS) National Institute of Technology Warangal Telangana India Department of Business Management Koneru Lakshmaiah Education Foundation Andhra Pradesh India Department of Computer Science and Business Systems Knowledge Institute of Technology Salem Tamil Nadu India

The worker productivity is now widely recognized as a key factor in determining a company long-term viability. The productivity of an organization workers is a major factor in the company success. Employee productivity is given considerable weight in both organizational psychology and human resource management. Globalization, greater investor and consumer expectations, and fiercer product rivalry all contribute to a dynamic economic climate. Public agencies, faced with intense competition and a reducing cost, must constantly seek ways to boost their efficiency, effectiveness, and customer satisfaction. This action is taken to ensure one continued viability in this hostile ecosystem. In order to analyze the data collected here, a method known as quantitative research was employed.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Linking Data Sovereignty and Data Economy: Arising Areas of Tension 17

Linking Data Sovereignty and Data Economy: Arising Areas of ...

引用

17th International Conference on Wirtschaftsinformatik, WI 2022

作者： Lauf, Florian Scheider, Simon Bartsch, Jan Herrmann, Philipp Radic, Marija Rebbert, Marcel Nemat, André T. Schlueter-Langdon, Christoph Konrad, Ralf Sunyaev, Ali Meister, Sven Fraunhofer Institute for Software and Systems Engineering ISST Healthcare Dortmund Germany TU Dortmund Chair of Industrial Information Management Dortmund Germany Department of Economics and Management Karlsruhe Germany Fraunhofer Center for International Management and Knowledge Economy IMW Corporate Development in International Competition Division Leipzig Germany Witten/Herdecke University Institute for Digital Transformation in Healthcare GmbH Witten Germany T-Systems International GmbH Digital Solutions - Data Intelligence Hub Frankfurt Germany Claremont Graduate University Drucker School of Management Claremont United States KASTEL Security Research Labs Karlsruhe Germany Witten/Herdecke University Faculty of Health School of Medicine Witten Germany

In the emerging information economy, data evolves as an essential asset and personal data in particular is used for data-driven business models. However, companies frequently leverage personal data without considering individuals’ data sovereignty. Therefore, we strive to strengthen individuals’ position in data ecosystems by combining concepts of data sovereignty and data economy. Our research design comprises an approach to design thinking iteratively generating, validating, and refining such concepts. As a result, we identified ten areas of tension that arise when linking data sovereignty and data economy. Subsequently, we propose initial solutions to resolve these tensions and thus contribute to knowledge about the development of fair data ecosystems benefiting both individuals’ sovereignty and companies’ access to data. © 2022 17th International Conference on Wirtschaftsinformatik, WI 2022. All rights reserved.

关键词： Ecosystems

来源：评论

学校读者我要写书评

暂无评论

Crowd tracking and monitoring middleware via Map-Reduce

arXiv

引用

arXiv 2022年

作者： Gazis, Alexandros Katsiri, Eleftheria Department of Electrical and Computer Engineering School of Engineering Democritus University of Thrace Xanthi Greece Institute for the Management of Information Systems Athena Research Innovation Center in Information Communication & Knowledge Technologies Marousi Greece

This paper presents the design, implementation, and operation of a novel distributed fault-tolerant middleware. It uses interconnected WSNs that implement the MapReduce paradigm, consisting of several low-cost and low-power mini-computers (Raspberry Pi). Specifically, we explain the steps for the development of a novice, fault-tolerant Map-Reduce algorithm which achieves high system availability, focusing on network connectivity. Finally, we showcase the use of the proposed system based on simulated data for crowd monitoring in a real case scenario, i.e., a historical building in Greece (M. Hatzidakis' residence). The technical novelty of this article lies in presenting a viable low-cost and low-power solution for crowd sensing without using complex and resource-intensive AI structures or image/video recognition techniques. © 2022, CC BY.

关键词： Middleware

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：