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How does Internationalisation affect the productivity of R&D activities in large innovative firms? A conditional nonparametric investigation

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Quality and Quantity 2023年第2期57卷 1079-1100页

作者： Laurens, Patricia Toma, Pierluigi Schoen, Antoine Daraio, Cinzia Larédo, Philippe LISIS Univ Gustave Eiffel ESIEE Paris CNRS INRAE Marne-laVallée 77447 France Department of Economics and Management University of Salento Lecce 73100 Italy Department of Computer Control and Management Engineering “A. Ruberti” Sapienza University of Rome Rome 00185 Italy University of Manchester AMBS Manchester Institute of innovation Research Manchester M156PB United Kingdom

This work explores the relationship between multinational R&D and innovation productivity among top corporate knowledge and R&D producers by adopting a twofold concept of internationalisation: (1) the firm’s degree of R&D internationalisation, and (2) the firm’s geographic diversification. We model the patent production process with an appropriate and robust conditional Data Envelopment Analysis (DEA) estimator, using a unique database of firms that matches financial indicators and patent information. Our results reinforce the fundamental role of internationalisation in the knowledge production process when the internationalisation process is properly and strategically managed. We interpret our empirical evidence through the theoretical lens of the learning theory of internationalisation, and we postulate that a high R&D intensity is a key driver to overcoming the challenges of internationalisation. © 2022, The Author(s).

关键词： Conditional efficiency DEA modelling Multinationality Patents R&D productivity

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Concept for Manufacturing a Microoptoelectromechanical Micro-G Accelerometer

Concept for Manufacturing a Microoptoelectromechanical Micro...

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2022 International Siberian Conference on control and Communications, SIBCON 2022

作者： Barbin, Evgenij S. Nesterenko, Tamara G. Koleda, Aleksej N. Shesterikov, Evgeniy V. Kulinich, Ivan V. Kokolov, Andrey Laboratory of Radiophotonics Tomsk State University of Control Systems and Radioelectronics Laboratory of Intelligent Computer Systems Institute of Optics and Atmosphere Siberian Branch of the Russian Academy of Sciences Tomsk Russia Laboratory of Radiophotonics Tomsk State University of Control Systems and Radioelectronics Division for Electronic Engineering National Research Tomsk Polytechnic University Tomsk Russia Tomsk State University of Control Systems and Radioelectronics Institute of Optics and Atmosphere Siberian Branch of the Russian Academy of Sciences Tomsk Russia

ISBN: (纸本)9781665476287

The paper presents the schemes for manufacturing a microoptoelectromechanical (MOEM) accelerometer for measuring small accelerations. MOEM-accelerometer includes three subsystems: mechanical, optical and electronic. The mechanical subsystem includes an inertial body, mounted on a spring suspension in a case. The optical subsystem includes a laser, moving and fixed waveguides. The electrical subsystem includes a photodiode and electronic components. To measure microdisplacements that correspond to measured microaccelerations, an optical system based on the optical tunnel effect was used. The work considers the schemes of the optical transducer for linear and angular displacements of the mechanical subsystem. The moving waveguide together with the inertial body are combined into the mechanical sensing element that diverges in the case of acceleration. A technological process for manufacturing a MOEM accelerometer based on the 'silicon on insulator' technology with additional layers of nitride and silicon oxide for optical functional elements is presented. Depending on the character of the movement of the sensing element, the functional schemes of the MOEM-accelerometer were developed with various changeable parameters: optical coupling length, gap, overlapping area between the moving and fixed waveguides. The article analyzes the advantages and drawbacks of the proposed schemes of accelerometers from the perspective of their manufacturing feasibility and the predicted accuracy. The highest sensitivity (6.25 × 10-6 m-1) belongs to schemes with changeable gap between the waveguides. The dynamic displacement ranges of them is ± 80 nm. Lower sensitivity (1.25 × 106 m-1) belongs to schemes with changeable overlapping area. The dynamic displacement range may reach ± 300 nm. Schemes with changeable optical coupling length possess the highest dynamic range which directly depends on a chosen optical coupling length and amounts to dozens of microns. The sensitivity of the last

关键词： Accelerometers

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Dbtcc: Unsupervised Pedestrian Re-Identification Combined Double-Branch Transformer and Clustering Contrastive Learning

SSRN

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SSRN 2023年

作者： Wang, Xuan Sun, Zhaojie Chehri, Abdellah Song, Yongchao School of Computer and Control Engineering Yantai University Qingquan Road 30 Yantai264005 China Department of Mathematics and Computer Science Royal Military College of Canada KingstonONK7K 7B4 Canada

Detecting pedestrians plays a crucial role in various computer vision applications such as surveillance, public security, intelligent transportation systems, improved safety for vulnerable road users, and driving assistance systems. Unsupervised pedestrian re-identification (re-ID) enables the full utilization of existing data resources by feature extraction and clustering pedestrian images. It promotes the development of sustainable computing system design. However, in unsupervised re-ID approaches, the progress of clustering updates is typically inconsistent because of the limits of convolutional neural networks in obtaining fine-grained cues from features. To address this issue, we proposed the double-branch transformer and clustering contrastive learning (DBTCC) method for unsupervised re-ID tasks. Specifically, we designed a double-branch structure (DBST) based on an improved vision transformer to obtain multi-granularity local and global features by reshaping and averaging operations on the extracted feature. Furthermore, we constructed a cluster-level memory dictionary so that a unique cluster representation describes each cluster. In addition, we applied cluster contrastive learning for updating features, which addresses the consistency issue in cluster updating. The multi-granularity features retrieved by DBST improved the clustering outcomes, and the consistency of clustering can also be maintained effectively throughout the pipeline. Extensive experiments have demonstrated that DBTCC shows significant improvements compared to pure unsupervised methods on the Market-1501, DukeMTMC-reID, and MSMT17 datasets. © 2023, The Authors. All rights reserved.

关键词： Learning systems

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ONLINE FEEDBACK OPTIMIZATION AND SINGULAR PERTURBATION VIA CONTRACTION THEORY∗

arXiv

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arXiv 2023年

作者： Cothren, Liliaokeawawa Bullo, Francesco Dall’Anese, Emiliano Department of Electrical Computer and Energy Engineering University of Colorado Boulder BoulderCO United States Center for Control Dynamical Systems and Computation UC Santa Barbara Santa BarbaraCA93101 United States Department of Electrical and Computer Engineering Boston University BostonMA02215 United States

In this paper, we provide a novel contraction-theoretic approach to analyze two-time scale systems, including those commonly encountered in Online Feedback Optimization (OFO). Our framework endows these systems with several robustness properties, enabling a more comprehensive characterization of their behaviors. The primary assumptions are the contractivity of the fast subsystem and the reduced model, along with an explicit upper bound on the time-scale parameter. For two-time scale systems subject to disturbances, we show that the distance between solutions of the nominal system and solutions of its reduced model is uniformly upper bounded by a function of contraction rates, Lipschitz constants, the time-scale parameter, and the variability of the disturbances over time. Applying these general results to the OFO context, we establish new individual tracking error bounds, showing that solutions converge to their time-varying optimizer, provided the plant and steady-state feedback controller exhibit contractivity and the controller gain is suitably bounded. Finally, we explore two special cases: for autonomous nonlinear systems, we derive sharper bounds than those in the general results, and for linear time-invariant systems, we present novel bounds based on induced matrix norms and induced matrix log norms. Copyright © 2023, The Authors. All rights reserved.

关键词： State feedback

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Efficient Joint Parameter Estimation and Soft Noncoherent Detection Scheme for LoRa-based IoT System

Efficient Joint Parameter Estimation and Soft Noncoherent De...

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Asia-Pacific Conference on Communications

作者： Zhongyang Yu Zhengying Wen Jixun Gao Yuqian Yan Chunhua Zhu School of Computer Science Henan University of Engineering Zhengzhou China School of Software Henan University of Engineering Zhengzhou China Key Laboratory of Grain Information Processing and Control (Henan University of Technology) Ministry of Education Zhengzhou China

Considering limited pilot overhead and large delay and Doppler shift in LoRa (Long Range)-based IoT (Internet of Things) systems, this paper presents an efficient joint parameter estimation and soft nonconherent detection scheme. During the parameter estimation, a joint delay and Doppler shift estimation method is proposed, which is called the JDDSE method. Different from the existing estimation methods, the proposed method utilizes the time-domain characteristic of the LoRa signal and only needs to estimate a joint offset of the delay and Doppler shift instead of their respective offsets. Then, a soft noncoherent detection is developed from the existing work in order to match the JDDSE method. Simulation results indicate the validity of the proposed method under the uplink IoT transmission.

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Model Reference Adaptive Stabilizing control for Leader-following Consensus

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IEEE Transactions on Automatic control 2025年

作者： Yue, Dongdong Shi, Jiantao Shi, Ling Frasca, Paolo Baldi, Simone Nanjing Tech University College of Electrical Engineering and Control Science Nanjing211816 China Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Clear Water Bay China Univ. Grenoble Alpes Cnrs Inria Grenoble Inp GIPSALab Grenoble38000 France Southeast University School of Mathematics Nanjing210096 China

Complex networks, neuroscience, and other applications have shown examples of multi-agent adaptive systems that must follow (over possibly short times) reference dynamics that are neither Hurwitz nor neutrally stable. However, such leader-following behavior would be impossible with existing adaptive consensus methods, e.g., based on model reference adaptive control (MRAC), since the stability of the reference dynamics is required. To fill this gap, we propose a novel model reference adaptive stabilizing control (MRASC) framework for leader-following consensus of multi-agent systems with unknown and heterogeneous dynamics. Differently from several approaches in the leader-following consensus literature, the proposed framework is free of any extra distributed observer layer for the leader's signal, as the reconstruction of such signals is intrinsic in the adaptive laws. Besides, the framework does not require Hurwitz or neutral stability of the leader and generalizes existing acyclic requirements on the communication graph among the follower. Starting from any weakly connected communication digraph, the proposed method allows to derive a lower bound, useful from the network design point of view, for the minimum number of followers that should be pinned by the leader. © 2025 IEEE.

关键词： Multi agent systems

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Traffic Signal control for Large-Scale Urban Traffic Networks: Real-World Experiments using Vision-based Sensors

Traffic Signal Control for Large-Scale Urban Traffic Network...

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International Conference on control and Automation (ICCA)

作者： Jiho Park Tong Liu Chieh Wang Hong Wang Qichao Wang Zhong-Ping Jiang Department of Electrical and Computer Engineering Control and Networks Lab Tandon School of Engineering New York University Brooklyn NY USA Oak Ridge National Laboratory Oak Ridge TN USA National Renewable Energy Laboratory Computational Science Center Golden CO USA

ISBN: (数字)9798350354409

ISBN: (纸本)9798350354416

Effective control of traffic signals plays a critical role in ensuring smooth vehicle flow in urban areas. Expertly engineered traffic signal controllers can considerably minimize travel delays and enhance sustainability. In this paper, the team proposes the Model Predictive control (MPC) traffic signal control strategy using real-time traffic flow data from a vision-based camera as feedback information. Also, a realistic signal timing plan that considers National Electrical Manufacturers Association (NEMA) constraints has been developed to be applied to real-world scenarios. The primary aim is to reduce the number of vehicles across all links in the controlled area, thereby optimizing traffic flow and reducing energy consumption. To validate the proposed method, several real-life experiments were conducted at 24 intersections in Chattanooga, Tennessee, by collaborating with traffic field engineers. These experiments demonstrated significant performance improvements in comparison to the existing method.

关键词： Energy consumption Urban areas Decentralized control Data processing Real-time systems Sensors Delays

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Significant enhancement in the electrical conductance properties of ethylene propylene diene monomer using the nano‐SiO_(2) particles

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High Voltage 2021年第3期6卷 487-494页

作者： Chunyu Xu Ruixue Zhao Chuanyang Li Yuanyuan Li Guodong Zhang Tohid Shahsavarian Mengqiang Yuan Zhipeng Lei Shanxi Key Laboratory of Mining Electrical Equipment and Intelligent Control College of Electrical and Power EngineeringTaiyuan University of TechnologyTaiyuanChina Electrical and Computer Engineering University of ConnecticutStorrsConnecticutUSA State Grid Jincheng Power Supply Company JinchengChina Shanxi Jincheng Anthracite Mining Group Co. LtdJinchengChina School of Electrical Engineering Shandong UniversityJinanChina

To study the effect of nano‐silica particles on the conductivity characteristics of ethylene propylene diene monomer(EPDM)insulation,EPDM nanocomposites with different mass fractions of nano silica were prepared via the melt‐blending *** electron microscopy was used to analyze the dispersion of nanoparticles in *** on the Fourier‐transform infrared spectrum,the bonding properties between the nanoparticles and EPDM were *** steady‐state current at 30-100°C and 1-20 kV/mm was ***,the conductivity characteristic was *** experimental results show that as the content of nano‐silica increases,the electrical conductivity of EPDM nanocomposite as well as the threshold field strength gradually *** with a small number of nanoparticles will increase the activation energy of the carrier conductivity,and the interface region effect introduced by nanoparticles will reduce the carrier mobility and concentration,resulting in a lower *** the calculated value of the dielectric constant with the measured value can conclude that the high‐field conductance process is a combination of the electrode effect and the body effect,which in this case,Schottky effect dominates.

关键词： propylene conductivity conductance

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Maintaining Balance of Mobile Manipulators for Safe Pick-Up Tasks

Maintaining Balance of Mobile Manipulators for Safe Pick-Up ...

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International Conference on control, Automation, Robotics and Vision (ICARCV)

作者： Francesco D'Orazio Tommaso Belvedere Spyridon G. Tarantos Giuseppe Oriolo Department of Computer Control and Management Engineering Sapienza University of Rome Rome Italy CNRS Université de Rennes Inria IRISA Rennes France Center of AI & Robotics (CAIR) and Engineering Division New York University Abu Dhabi Abu Dhabi United Arab Emirates

ISBN: (数字)9798331518493

ISBN: (纸本)9798331518509

This paper presents a novel method to maintain the dynamic balance of a Mobile Manipulator (MM) during the pick-up of heavy objects. The approach entails the generation of a preliminary reach-to-grasp trajectory, which is subsequently refined by an Optimization-Based controller (OBC) formulated as a Quadratic Program (QP). The trajectory is modified in a minimal fashion to ensure that the robot maintains balance during the reaching phase and remains balanced when the payload is grasped. This is accomplished by incorporating a balance constraint into the OBC that predicts the Zero Moment Point (ZMP) position of the robot at the beginning of the pick-up phase. This accounts for the gravitational and inertial effects that the object has on the robot. The method is validated through simulations conducted with the TIAGo robot in Gazebo. The results demonstrate that the proposed approach effectively prevents the robot from tipping over when the payload is considered.

关键词： Simulation Wheels Stability analysis Robustness Trajectory Safety Mobile robots Robots Manipulator dynamics Payloads

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Optimal Design of Work Quantification System 16th

Optimal Design of Work Quantification System

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16th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2020 in conjunction with the 13th International Conference on Frontiers of Information Technology, Applications and Tools, FITAT 2020

作者： Liu, Lei Lin, Wenru Huang, Yingcong Software College Minjiang University Fuzhou350121 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou350121 China School of Computer and Control Engineering Minjiang University Fuzhou350121 China

ISBN: (纸本)9789813367562

In view of the requirements of the correctness of quantitative results, the dynamic variety of quantitative rules and collaborative result recording in data management, the work quantification system is analyzed and optimized. The core module of the work quantification is designed by using the features of dynamic parsing script provided by JavaScript engine, and finally, a set of applicative, efficient, and expandable work quantification system is developed. The application of the system will bring convenience to all users due to its effective data management. In addition, easy access to the fast Internet makes the analysis and use of achievement data more efficient. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021.

关键词： Information management

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