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An open standards-based service infrastructure for industrial telematics

An open standards-based service infrastructure for industria...

2nd IEEE International Conference on Industrial Informatics: Collaborative automation - One Key for Intelligent Industrial Environments, INDIN'04

作者： Sierla, Seppo A. Peltola, Jukka P. Mattila, Marko Koskinen, Kari O. Information and Computer Systems in Automation Helsinki University of Technology P.O.Box 5500 FIN-02015 HUT Finland

ISBN: (纸本)0780385136

The business opportunities in after-sales services such as condition based maintenance were noticed by many vendors of process and automation equipment before adequate standards and architectures became available. Consequently, at a client's premises there are many units of process equipment, software modules and Internet connections that have been installed by different vendors, and this uncoordinated work has created serious interoperability, maintainability and security problems. This paper proposes an open standards-based service architecture for industrial telematics that supports interoperability, software component lifecycle management and secure execution and communication of components in a multi-vendor environment. © 2004 IEEE.

关键词： Industrial management

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Exploiting Multiple Paths in Multi-hop Co-operative Ad-Hoc Networks for Providing Security without Trusted Third Party 33rd

Exploiting Multiple Paths in Multi-hop Co-operative Ad-Hoc N...

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33rd International Conference on Advanced information Networking and Applications, AINA-2019

作者： Dinesh Ram Kumar, T. Bhatia, Ashutosh Hansdah, R.C. Department of Computer Science and Information Systems Birla Institute of Technology and Science Pilani India Department of Computer Science and Automation Indian Institute of Science Bangalore India

ISBN: (纸本)9783030150310

Ensuring secure communication in large scale wireless networks is a challenging issue, especially when the nodes participating in the network itself cannot be trusted fully. This situation is very much pertinent in the case of multi-hop wireless cooperative networks, where the nodes co-operate with each other to support multi-hop communication in the network. In such networks, assuming the presence of a trusted third party to provide key exchange and authentication services in the network is not viable. Additionally, the classical Diffie-Hellman based key establishment mechanism as such cannot be used because of Man-In-The-Middle and impersonation attacks, as the nodes participating in a multi-hop path from source to destination cannot be trusted. In this paper, we investigate the use of the multi-paths and secret sharing in multi-hop cooperative adhoc networks to provide practical secure communication between the nodes in the network. We propose a couple of routing algorithms that give multiple-paths to send different segments of information required to be communicated securely, under various behavioral models of the participating nodes. The simulation results show that the majority of times, we are able to find the multiple paths in the network through which the different segments of a piece of information can be sent to achieve desirable security. © 2020, Springer Nature Switzerland AG.

关键词： Secure communication

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Real time monitoring of packet loss in software defined networks 1st

Real time monitoring of packet loss in software defined netw...

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1st International Conference on Ubiquitous Communications and Network Computing, UBICNET 2017

作者： Sinha, Yash Vashishth, Shikhar Haribabu, K. Department of Computer Science and Information Systems BITS Pilani Pilani Campus Pilani India Department of Computer Science and Automation Indian Institute of Science Bangalore India

ISBN: (纸本)9783319734224

In order to meet QoS demands from customers, currently, ISPs over-provision capacity. Networks need to continuously monitor performance metrics, such as bandwidth, packet loss etc., in order to quickly adapt forwarding rules in response to changes in the workload. The packet loss metric is also required by network administrators and ISPs to identify clusters in network that are vulnerable to congestion. However, the existing solutions either require special instrumentation of the network or impose significant measurement overhead. Software-Defined Networking (SDN), an emerging paradigm in networking advocates separation of the data plane and the control plane, separating the network’s control logic from the underlying routers and switches, leaving a logically centralized software program to control the behavior of the entire network, and introducing network programmability. Further, OpenFlow allows to implement fine-grained Traffic Engineering (TE) and provides flexibility to determine and enforce end-to-end QoS parameters. In this paper, we present an approach for monitoring and measuring online per-flow as well as per-port packet loss statistics in SDN. The controller polls all the switches of the network periodically for port and flow statistics via OpenFlow 1.3 multipart messages. The OpenFlow compliant switches send cumulative statistics of sent and received packets to the controller that includes raw packets (control, non-user generated packets responsible for network management);which, although not being part of the end-to-end data traffic, get counted and act as noise in the statistics. The proposed method takes into account the effect of raw packets and thus, hamper the accuracy of methods. Other implementations propose approaches for per-flow packet loss only. We also take into account the effect of raw packets (control, non-user generated packets) which makes our packet loss estimation more accurate than other implementations. We also present a study of e

关键词： Quality of service

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Estimation of raw packets in SDN 1st

Estimation of raw packets in SDN

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1st International Conference on Ubiquitous Communications and Network Computing, UBICNET 2017

ISBN: (纸本)9783319734224

In SDN based networks, for network management such as monitoring, performance tuning, enforcing security, configurations, calculating QoS metrics etc. a certain fraction of traffic is responsible. It consists of packets for many network protocols such as DHCP, MLD, MDNS, NDP etc. Most of the time these packets are created and absorbed at midway switches. We refer to these as raw packets. Cumulative statistics of sent and received traffic is sent to the controller by OpenFlow compliant switches that includes these raw packets. Although, not part of the data traffic these packets get counted and leads to noise in the measured statistics and thus, hamper the accuracy of methods that depend on these statistics such as calculation of QoS metrics. In this paper, we propose a method to estimate the fraction of the network traffic that consists of raw packets in Software Defined Networks. The number of raw packets transferred depends on the number of switches and hosts in the network and it is a periodic function of time. Through experiments on several network topologies, we have estimated a way to find a cap on the generated raw packets in the network, using spanning tree information about the topology. © 2018, ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Packet networks

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Moving into Mass Customization 1

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1000年

作者： Claus Rautenstrauch Ralph Seelmann-Eggebert Klaus Turowski

ISBN: (数字)9783642561924

ISBN: (纸本)9783540436119

Mass Customization leads the strategy of today`s well succeeded companies. It indulges the customer with the so long yearned for product and/or service that exactly fits his desires and specifications. This book compiles a hand-selected variety of testimonies from Mass Customization experts worldwide with different experiences both on an academic research basis as well as on practical case studies. This diversity makes it a compulsory guide to use in any enterprise throughout the world that wants to take its business into new and more ambitious dimensions. Furthermore, its contents are structured in a way that will help everyone that wants to learn, teach or put into practice the concepts of Mass Customization.

关键词： IT in Business information systems Applications (incl. Internet) Control, Robotics, Mechatronics

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Parallel Planning:A New Motion Planning Framework for Autonomous Driving

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IEEE/CAA Journal of Automatica Sinica 2019年第1期6卷 236-246页

作者： Long Chen Xuemin Hu Wei Tian Hong Wang Dongpu Cao Fei-Yue Wang IEEE School of Data and Computer Science Sun Yat-sen University the School of Computer Science and Information Engineering Hubei University Institute of Measurement and Control Systems Karlsruhe Institute of Technology Department of Mechanical and Mechatronics Engineering University of Waterloo the State Key Laboratory of Management and Control for Complex Systems.Institute of Automation Chinese Academy of Sciences the Research Center for Military Computational Experiments and Parallel Systems Technology National University of Defense Technology

Motion planning is one of the most significant technologies for autonomous driving. To make motion planning models able to learn from the environment and to deal with emergency situations, a new motion planning framework called as"parallel planning" is proposed in this paper. In order to generate sufficient and various training samples, artificial traffic scenes are firstly constructed based on the knowledge from the reality.A deep planning model which combines a convolutional neural network(CNN) with the Long Short-Term Memory module(LSTM) is developed to make planning decisions in an end-toend mode. This model can learn from both real and artificial traffic scenes and imitate the driving style of human ***, a parallel deep reinforcement learning approach is also presented to improve the robustness of planning model and reduce the error rate. To handle emergency situations, a hybrid generative model including a variational auto-encoder(VAE) and a generative adversarial network(GAN) is utilized to learn from virtual emergencies generated in artificial traffic scenes. While an autonomous vehicle is moving, the hybrid generative model generates multiple video clips in parallel, which correspond to different potential emergency scenarios. Simultaneously, the deep planning model makes planning decisions for both virtual and current real scenes. The final planning decision is determined by analysis of real observations. Leveraging the parallel planning approach, the planner is able to make rational decisions without heavy calculation burden when an emergency occurs.

关键词： Autonomous driving artificial traffic scene deep learning emergencies motion planning parallel planning

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Multimodal Fusion and Vision-Language Models: A Survey for Robot Vision

arXiv

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arXiv 2025年

作者： Han, Xiaofeng Chen, Shunpeng Fu, Zenghuang Feng, Zhe Fan, Lue An, Dong Wang, Changwei Guo, Li Meng, Weiliang Zhang, Xiaopeng Xu, Rongtao Xu, Shibiao The State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences China School of Artificial Intelligence Beijing University of Posts and Telecommunications China Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center China

Robot vision has greatly benefited from advancements in multimodal fusion techniques and vision-language models (VLMs). We systematically review the applications of multimodal fusion in key robotic vision tasks, including semantic scene understanding, simultaneous localization and mapping (SLAM), 3D object detection, navigation and localization, and robot manipulation. We compare VLMs based on large language models (LLMs) with traditional multimodal fusion methods, analyzing their advantages, limitations, and synergies. Additionally, we conduct an in-depth analysis of commonly used datasets, evaluating their applicability and challenges in real-world robotic scenarios. Furthermore, we identify critical research challenges such as cross-modal alignment, efficient fusion strategies, real-time deployment, and domain adaptation, and propose future research directions, including self-supervised learning for robust multimodal representations, transformer-based fusion architectures, and scalable multimodal frameworks. Through a comprehensive review, comparative analysis, and forward-looking discussion, we provide a valuable reference for advancing multimodal perception and interaction in robotic vision. A comprehensive list of studies in this survey is available at https://***/Xiaofeng-Han-Res/MF-RV. Copyright © 2025, The Authors. All rights reserved.

关键词： Supervised learning

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Investing and Pricing with Supply Uncertainty in Electricity Market:A General View Combining Wholesale and Retail Market

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China Communications 2015年第3期12卷 20-34页

作者： LI Xiaobo GAO Li WANG Gongpu GAO Feifei WU Qingwei Beijing University of Posts and Telecommunications School of Digital Media and Design Arts Beijing University of Posts and Telecommunications School of Computer and Information Technology Beijing Jiaotong University Department of Automation Tsinghua UniversityState Key Lab of Intelligent Technologies and SystemsTsinghua National Laboratory for Information Science and Technology(TNList)

Renewable energy,such as wind and solar energy,may vary signifi cantly over time and locations depending on the weather and the climate *** leads to the supply uncertainty in the electricity(power) market with renewable energy integrated to power *** this paper,electricity in the market is classified into two types:stablesupply electricity(SSE) and unstablesupply electricity(USE).We investigate the investment and pricing strategies under the electricity supply uncertainty in wholesale and retail electricity *** particular,our model combines the wholesale and retail market and capture the dominant players,i.e.,consumers,power plant(power operator),and electricity *** derive the market behaviors of these players,we formulate the market decision problems as a multistage Stackelberg *** solving the game model,we obtain the optimal,with closedform,wholesale investment and retail pricing strategy for the *** also obtain the energy supplier's best price mechanism numerically under certain *** fi nd the price of SSE being about 1.4 times higher than that of USE will benefi t energy supplieroptimally,under which power plant's optimal strategy of investing is to purchase USE about 4.5 times much more than SSE.

关键词： electricity supply with uncertainty electricity investment electricity pricing wholesale market retail market Stackelberg game

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Delays in Model Reduction of Chemical Reaction Networks

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IFAC-PapersOnLine 2018年第14期51卷 100-105页

作者： Lipták, György Hangos, Katalin M. Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences P.O. Box 63 BudapestH-1518 Hungary Department of Electrical Engineering and Information Systems University of Pannonia Veszprém Hungary

A novel engineering model reduction method is proposed in this paper that can be applied to a chemical reaction network (CRN) with chains of linear reactions. The reduced model is a delayed CRN with possibly different delays but with less state variables than the original model. As the first step of the model reduction, a decomposition method is also developed to transform chains with joint reactions into independent chains of linear reactions. The well known example of McKeithan's network is used as a case study to illustrate the basic concepts and the design method. © 2018

关键词： Reduction

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Application of a NewmAnt-MinerPRAlgorithm in Classification Rule Mining

Journal of Digital Information Management

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Journal of Digital information Management 2015年第5期13卷 311-320页

作者： Yang, L. Li, K.S. Zhang, W.S. Wang, Y. Ke, Z.X. College of Mathematics and Informatics South China Agricultural University Guangzhou China Institute of Automation Chinese Academy of Sciences Beijing China Department of Computer Science and Information Systems Bradley University PeoriaIL United States

A new classification algorithm based on multi-ant and pheromone repulsion principles is studied and proposed in this paper to improve the prediction accuracy of the classification rule based on the traditional Ant-Miner algorithm. The proposed algorithm uses multiant colony construction method to reduce dependence on random initial term. The volatile coefficient of pheromone update is added to prevent premature convergence. The new state transition function based on pheromone repulsion principle is also presented to avoid falling into local optimum, whereas a rule quality formula is improved. Several aspects of the proposed algorithm are investigated by experimenting of benchmark data sets from the University of California at Irvine repository. We study the performance of our proposed approach and compare it with several commonly used classification algorithms, such as Ant-Miner and Ant-Miner with graphical user interface. Experimental results indicate that the proposed approach builds more accurate models than the compared algorithms. The high accuracy supplemented by the comprehensibility of the discovered rule sets is the main advantage of this method.

关键词： Data mining

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