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2018 Solid-State Sensors, Actuators and Microsystems Workshop, Hilton Head 2018

作者： Banis, G.E. Beardslee, L.A. Stine, J.M. Ghodssi, R. Institute for Systems Research University of Maryland College ParkMD20742 United States Department of Electrical and Computer Engineering University of Maryland College ParkMD20742 United States Fischell Department of Bioengineering University of Maryland College ParkMD20742 United States

ISBN: (纸本)9781940470030

We present a packaging concept for an ingestible sensing capsule, which utilizes biodegradable polymers to target the sensors to specific areas of the gut. Interdigitated electrodes (IDE) are inserted into 3D-printed capsules with embedded gratings that are filled with pharmaceutical polymers tuned to dissolve at a specific pH threshold. Sensors, housed within a 3D-printed package accessible only by the gratings, are connected to a microcontroller capable of transmitting data to a smartphone via Bluetooth Low-Energy (BLE). The system is tested with varying amounts and types of enteric coatings over the gratings, used toward optimizing control over timed polymer dissolution. This represents a minimally-invasive strategy toward in situ sampling and analysis at pH-targeted locations in the gastrointestinal (GI) tract. © 2016 TRF.

关键词： Biodegradable polymers

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Magnetic-visual sensor fusion-based dense 3D reconstruction and localization for endoscopic capsule robots

arXiv

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arXiv 2018年

作者： Turan, Mehmet Almalioglu, Yasin Ornek, Evin Pinar Araujo, Helder Yanik, Mehmet Fatih Sitti, Metin Physical Intelligence Department Max Planck Institute for Intelligent Systems Germany Computer Science Department University of Oxford Oxford United Kingdom Informatics Department Technical University of Muenich Germany Institute for Systems and Robotics University of Coimbra Portugal Department of Information Technology and Electrical Engineering Zurich Switzerland

Reliable and real-time 3D reconstruction and localization functionality is a crucial prerequisite for the navigation of actively controlled capsule endoscopic robots as an emerging, minimally invasive diagnostic and therapeutic technology for use in the gastrointestinal (GI) tract. In this study, we propose a fully dense, non-rigidly deformable, strictly realtime, intraoperative map fusion approach for actively controlled endoscopic capsule robot applications which combines magnetic and vision-based localization, with non-rigid deformations based frame-to-model map fusion. The performance of the proposed method is demonstrated using four different ex-vivo porcine stomach models. Across different trajectories of varying speed and complexity, and four different endoscopic cameras, the root mean square surface reconstruction errors 1.58 to 2.17 cm. Copyright © 2018, The Authors. All rights reserved.

关键词： Robot applications

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Correction: Core–shell defective TiO 2 nanoparticles by femtosecond laser irradiation with enhanced photocatalytic performance

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Materials Advances 2023年第5期4卷 1403-1403页

作者： Bersu Bastug Azer Ahmet Gulsaran Joel R. Pennings Reza Karimi Aydin Ashrafi Belgabad Alexander H. Xu Liena Zaidan Samed Kocer Joseph Sanderson Michal Bajcsy Michael A. Pope Mustafa Yavuz Department of Mechanical and Mechatronics Engineering University of Waterloo 200 University Ave. West Waterloo ON N2L 3G1 Canada bbastuga@uwaterloo.ca myavuz@uwaterloo.ca Waterloo Institute for Nanotechnology (WIN) University of Waterloo 200 University Ave. West Waterloo ON N2L 3G1 Canada Department of Physics and Astronomy University of Waterloo 200 University Ave. West Waterloo ON N2L 3G1 Canada Department of Physics and Energy Engineering Amirkabir University of Technology (Tehran Polytechnic) P.O. Box 15875-4413 Tehran Iran Department of Nanotechnology Engineering University of Waterloo 200 University Ave. West Waterloo ON N2L 3G1 Canada Department of Electrical and Computer Engineering University of Waterloo 200 University Ave. West Waterloo ON N2L 3G1 Canada Department of Systems Design Engineering University of Waterloo 200 University Ave. West Waterloo ON N2L 3G1 Canada Institute for Quantum Computing University of Waterloo 200 University Ave. West Waterloo ON N2L 3G1 Canada Department of Chemical Engineering University of Waterloo 200 University Ave. West Waterloo ON N2L 3G1 Canada

Correction for ‘Core–shell defective TiO 2 nanoparticles by femtosecond laser irradiation with enhanced photocatalytic performance’ by Bersu Bastug Azer et al. , Mater. Adv. , 2023, https://***/10.1039/d3ma00019b .

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A Low-Symmetry Copper Benzenehexathiol Coordination Polymer with In-Plane electrical Anisotropy

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Angewandte Chemie 2025年

作者： Dr. Zhiyong Wang Dr. Hio-Ieng Un Tsai-Jung Liu Dr. Baokun Liang Dr. Miroslav Polozij Dr. Mike Hambsch Jonas F. Pöhls Prof. R. Thomas Weitz Prof. Stefan C. B. Mannsfeld Prof. Ute Kaiser Prof. Thomas Heine Prof. Henning Sirringhaus Prof. Xinliang Feng Prof. Renhao Dong Max Planck Institute of Microstructure Physics Weinberg 2 06120 Halle (Saale) Germany Center for Advancing Electronics Dresden (cfaed) Faculty of Chemistry and Food Chemistry Dresden University of Technology 01062 Dresden Germany Optoelectronics Group Cavendish Laboratory University of Cambridge JJ Thomson Avenue Cambridge CB3 0HE UK Ulm University 89081 Ulm Germany Helmholtz-Zentrum Dresden-Rossendorf HZDR Bautzner Landstr. 400 01328 Dresden Germany Center for Advanced Systems Understanding CASUS Conrad-Schiedt-Straße 20 02826 Görlitz Germany Center for Advancing Electronics Dresden (cfaed) Faculty of Electrical and Computer Engineering Dresden University of Technology 01062 Dresden Germany First Institute of Physics Georg August University of Göttingen 37077 Göttingen Germany Department of Chemistry The University of Hong Kong Hong Kong 999077 China Materials Innovation Institute for Life Sciences and Energy (MILES) HKU-SIRI Shenzhen 518048 China

electrically conductive coordination polymers (ECCPs), particularly those incorporating benzenehexathiol (BHT) ligands, are emerging as a distinctive class of electronic materials with tunable semiconducting and metallic properties. However, the exploration of novel ECCPs with low-symmetry structures and electrical anisotropy remains under development. Here, we report the on-water surface synthesis of a novel ECCP, namely Cu 5 BHT, which exhibits a low-symmetry structure and unique in-plane electrical anisotropy that differs from the well-known Cu 3 BHT phase. Utilizing imaging and diffraction techniques, we elucidate the unit cell and crystal structure of Cu 5 BHT, revealing an asymmetric arrangement of the kagome resembling lattice connected by two different secondary building units: square planar CuS 4 and non-planar Cu 2 S 4 . Theoretical studies indicate that Cu 5 BHT is metallic and exhibits in-plane electrical anisotropy due to the structure arranged in interconnected well-conducting CuS 4 chains and less-conducting Cu 2 S 4 slabs oriented along single crystal direction. Single-crystal electrical measurements confirm a metallic character characterized by the increase of conductance upon cooling. Notably, the measured conductance along different crystal directions within the ab plane unambiguously reveals a significant anisotropy, with an anisotropic factor reaching ~8. This work demonstrates a novel low-symmetry ECCP and highlights its potential for achieving in-plane electrical anisotropy.

关键词： electrically conductive coordination polymers metallic kagome lattice low-symmetry structure in-plane electrical anisotropy

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Data-driven (Bilinear) identification and reduction

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PAMM 2021年第S1期20卷

作者： Dimitrios S. Karachalios Ion Victor Gosea Athanasios C. Antoulas Max Planck Institute for Dynamics of Complex Technical Systems Data-Driven System Reduction and Identification (DRI) group Sandtorstraße 1 Magdeburg 39106 Max Planck Institute for Dynamics of Complex Technical Systems Data-Driven System Reduction and Identification (DRI) group Sandtorstraße 1 Magdeburg 39106 Rice University Houston Electrical and Computer Engineering Department 6100 Main St. Houston TX 77005 Baylor College of Medicine 1 Baylor Plaza Houston TX 77030

Identifying dynamical systems from measured data is an important step towards accurate modeling and control. Model order reduction (MOR) constitutes a class of methods that can be used to replace large, complex models of dynamical processes with simpler, smaller models. The reduced-order models (ROMs) can be then used for further tasks such as control, design, and simulation. One typical approach for projection-based model reduction for both linear and nonlinear dynamical systems is by employing interpolation. Projection-based methods require access to the internal dynamics of the system which is not always available. The aim here is to compute ROMs without having access to the internal dynamics, by means of a realization independent method. The proposed methodology will fall into the broad category of data-driven approaches. The method under consideration, which will be referred to as the Loewner framework (LF), was originally introduced by the third author. Based on data, LF identifies state-space models in a direct way. In the original setup, the framework relies on compressing the full data set to extract dominant features and, at the same time, to eliminate the inherent redundancies. In the broader class of nonlinear control systems, the LF has been already extended to certain classes with a special structure such as quadratic or bilinear systems. The LF in combination with Volterra series-(VS) offers a non-intrusive approximation method that is capable of identifying bilinear models from input-output time-domain measurements. This method uses harmonic inputs which establish a natural way for data acquisition. The Fourier transform associates these measurements with the derived generalized frequency response functions GFRFs and the LF makes the connection with system theory. In the linear case, the LF associates the so-called S-parameters with the linear transfer function by interpolating in the frequency domain. The goal of the proposed method is to extend ide

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A Situation-Aware Collision Avoidance Strategy for Car-Following

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IEEE/CAA Journal of Automatica Sinica 2018年第5期5卷 1012-1016页

作者： Li Li Fellow IEEE Xinyu Peng Fei-Yue Wang ieee department of automation bnristtsinghua universityBeijing l00084China the department of automation tsinghua universityBeijing l00084China state key laboratory of management and control for complex systems institute of automationchinese academy of sciencesBeijing 100080China the driver cognition and automated driving laboratory university of waterlooWaterloo N2L 3GlCanada the department of electrical and computer engineering purdue school of engineering and technologyindiana university-purdue university indianapolisIndiana 46202-5l32USA

Abstract--In this paper, we discuss how to develop an appropriate collision avoidance strategy for car-following. This strategy aims to keep a good balance between traffic safety and efficiency while also taking into consideration the unavoidable uncertainty of position/speed perception/measurement of vehicles and other drivers. Both theoretical analysis and numerical testing results are provided to show the effectiveness of the proposed strategy. Index Terms--Collision avoidance, safety, traffic efficiency, uncertainty.

关键词： Collision avoidance safety traffic efficiency uncertainty

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The Loewner framework for nonlinear identification and reduction of Hammerstein cascaded dynamical systems

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PAMM 2021年第1期20卷

We present an algorithm for data-driven identification and reduction of nonlinear cascaded systems with Hammerstein structure. The proposed algorithm relies on the Loewner framework (LF) which constitutes a non-intrusive algorithm for identification and reduction of dynamical systems based on interpolation. We address the following problem: the actuator (control input) enters a static nonlinear block. Then, this processed signal is used as an input for a linear time-invariant system (LTI). Additionally, it is considered that the orders of the linear transfer function and of the static nonlinearity are not a priori known.

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Simultaneous Information and Energy Transmission: A Finite Block-Length Analysis 19

Simultaneous Information and Energy Transmission: A Finite B...

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19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018

作者： Perlaza, Samir M. Tajer, Ali Vincentpoor, H. de Lyon CITI Laboratory A Joint Laboratory between the Institut National de Recherche en Informatique et en Automatique 6 Av. des Arts Villeurbanne69621 France Rensselaer Polytechnic Institute Department of Electrical Computer and Systems Engineering TroyNY12180 United States Department of Electrical Engineering Princeton University PrincetonNJ08544 United States

ISBN: (纸本)9781538635124

In this paper, a non-asymptotic analysis of the fundamental limits of simultaneous information and energy transmission (SIET) is presented. The notion of the information-energy capacity region, i.e., the largest set of simultaneously achievable information and energy rates, is revisited in a context in which transmissions occur within a finite number of channel uses and strictly positive decoding error probability (DEP) and energy shortage probability (ESP) are tolerated. The focus is on the case of one transmitter, one information receiver and one energy harvester communicating through binary symmetric memoryless channels. In this case, some outer bounds on the information transmission rate and the energy transmission rate are presented. More specifically, given a finite block-length, a DEP, and an ESP, four scenarios arise depending on whether an average or maximal probability constraint is imposed on the DEP and the ESP. For each scenario, the limits on the information rate and energy rate beyond which a transmission is no longer possible are presented (impossibility results). These results reveal the competitive interaction between the information transmission and energy transmission tasks identifying a certain regime in which increasing the information rate necessarily implies decreasing the energy rate and vice versa. © 2018 IEEE.

关键词： Probability

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Error correction maximization for deep image hashing

arXiv

引用

arXiv 2018年

作者： Xu, Xiang Wang, Xiaofang Kitani, Kris M. Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh United States Robotics Institute Carnegie Mellon University Pittsburgh United States

We propose to use the concept of the Hamming bound to derive the optimal criteria for learning hash codes with a deep network. In particular, when the number of binary hash codes (typically the number of image categories) and code length are known, it is possible to derive an upper bound on the minimum Hamming distance between the hash codes. This upper bound can then be used to define the loss function for learning hash codes. By encouraging the margin (minimum Hamming distance) between the hash codes of different image categories to match the upper bound, we are able to learn theoretically optimal hash codes. Our experiments show that our method significantly outperforms competing deep learning-based approaches and obtains top performance on benchmark datasets. Copyright © 2018, The Authors. All rights reserved.

关键词： Hash functions

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An HMM-based averaging approach for creating mean motion data from a full-body Motion Capture system to support the development of a biomechanical model: Sensor-assisted functionalization of furniture in the hospital and care sector

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Current Directions in Biomedical engineering 2018年第1期4卷 1-5页

作者： Kitzig, Andreas Demmer, Julia Bolten, Tobias Naroska, Edwin Stockmanns, Gudrun Viga, Reinhard Grabmaier, Anton Niederrhein University of Applied Sciences Faculty of Electrical Engineering and Computer Science Ambient Intelligence Laboratory Reinarzstr. 49 Krefeld 47805 Germany University of Duisburg Essen Department of Electronic Components and Circuits Bismarkstr. 81 Duisburg 47057 Germany Fraunhofer Institute for Microelectronic Circuits and Systems (IMS) Finkenstraße 61 Duisburg 47057 Germany

Motion capture systems or MoCap systems are used for game development and in the field of sports for the assessment and digitalization of human movement. Furthermore, MoCap systems are also used in the medical and therapeutic field for the analysis of human movement patterns. As examples gait analysis or examination of the musculoskeletal system and its function should be mentioned. Most application relate to a specific person and their movement or to the comparison of movements of different people. Within the scope of this paper an averaged motion sequence is supposed to be generated from MoCap data in order to be able to use it in the field of biomechanical modeling and simulation. For the averaging of individual movement sequences of different persons a Hidden Markov Model (HMM) based approach is presented. © 2018 author name(s).

关键词： Hidden Markov models

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