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International Conference on Electromagnetics in Advanced Applications (ICEAA)

作者： Xi Zhu Yang Yang Quan Xue Department of Engineering Macquarie University Sydney NSW Australia School of Computing and Communications University of Technology Sydney State Key Laboratory of Millimeter Waves City University of Hong Kong Hong Kong China

ISBN: (纸本)9781467398121

This paper presents an Integrated on-chip bandpass filter design using an inverse-coupled resonator. Both the resonator and bandpass filter are designed and fabricated in a standard silicon-germanium technology. The designed resonator is based on a unique structure, which consists of two broadside-coupled meander lines with opposite orientation. Using this structure along with capacitors, the bandpass filter is designed. The measured results show that the BPF has a center frequency at 31 GHz and insertion loss of 2.5 dB. The chip size of the BPF, excluding the pads, is only 0.024 mm 2 (0.09 × 0.27 mm 2 ), which the most compact one among the other state-of-the-art designs.

关键词： Band-pass filters Resonator filters Microwave filters Optical filters Filtering theory Microstrip filters System-on-chip

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Correction to: Man-in-the-middle attacks on Secure Simple Pairing in Bluetooth standard V5.0 and its countermeasure

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Personal and Ubiquitous computing 2017年第1期22卷 69-69页

作者： Da-Zhi Sun Yi Mu Willy Susilo Tianjin Key Laboratory of Advanced Networking (TANK) School of Computer Science and Technology Tianjin University Tianjin China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing China Institute of Cybersecurity and Cryptology School of Computing and Information Technology University of Wollongong Wollongong Australia

Figure 4 contained an error. "Diffie-Hellman key" in step 1c' of Figure 4 should be changed to "Diffie-Hellman keys". The original article was corrected.

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Statistical Interconnect Crosstalk Noise Model and Analysis for Process Variations

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Chinese Journal of Electronics 2015年第1期24卷 83-87页

作者： LI Jianwei DONG Gang WANG Zeng YE Xiaochun Faculty of Automation and Information Engineering Xi'an University of Technology State Key Laboratory of Computer Architecture Institute of Computing TechnologyChinese Academy of Sciences Microelectronics Institute Xidian University College of Physics Sicence Qingdao University

When operating frequency is over several gigahertz, the effect of inductance plays an important role and should be included for accurate and speed crosstalk noise analysis. And for new generation IC(Integrated circuit) design tools, the crosstalk noise analysis tools should consider the influence of process variations. In this paper, we propose coupled RLC crosstalk noise distributed parameter model with capacitive load termination. And we develop the framework that how to use the crosstalk noise model for process variations. Our results show that compare with HSPICE, the critical data errors of proposed model are within 1% and the relative errors occurred between calculated values for process variations and HSPICE Monte Carlo simulation values are less than 5%. The key features of the new model include:(1) The impact of inductance on crosstalk noise is considered;(2) The model can be used for process variations analysis;(3) The model reflect the effects of load capacitance directly;(4) The numerical inversion of Laplace transform is introduced for improving speed. So the proposed model meets the needs of future IC design both in speed and accuracy.

关键词： Crosstalk noise Interconnect Inductance Process variation Statistical

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Search for continuous gravitational waves from 20 accreting millisecond x-ray pulsars in O3 LIGO data

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Physical Review D 2022年第2期105卷 022002-022002页

作者： R. Abbott T. D. Abbott F. Acernese K. Ackley C. Adams N. Adhikari R. X. Adhikari V. B. Adya C. Affeldt D. Agarwal M. Agathos K. Agatsuma N. Aggarwal O. D. Aguiar L. Aiello A. Ain T. Akutsu S. Albanesi A. Allocca P. A. Altin A. Amato C. Anand S. Anand A. Ananyeva S. B. Anderson W. G. Anderson M. Ando T. Andrade N. Andres T. Andrić S. V. Angelova S. Ansoldi J. M. Antelis S. Antier S. Appert Koji Arai Koya Arai Y. Arai S. Araki A. Araya M. C. Araya J. S. Areeda M. Arène N. Aritomi N. Arnaud S. M. Aronson K. G. Arun H. Asada Y. Asali G. Ashton Y. Aso M. Assiduo S. M. Aston P. Astone F. Aubin C. Austin S. Babak F. Badaracco M. K. M. Bader C. Badger S. Bae Y. Bae A. M. Baer S. Bagnasco Y. Bai L. Baiotti J. Baird R. Bajpai M. Ball G. Ballardin S. W. Ballmer A. Balsamo G. Baltus S. Banagiri D. Bankar J. C. Barayoga C. Barbieri B. C. Barish D. Barker P. Barneo F. Barone B. Barr L. Barsotti M. Barsuglia D. Barta J. Bartlett M. A. Barton I. Bartos R. Bassiri A. Basti M. Bawaj J. C. Bayley A. C. Baylor M. Bazzan B. Bécsy V. M. Bedakihale M. Bejger I. Belahcene V. Benedetto D. Beniwal T. F. Bennett J. D. Bentley M. BenYaala F. Bergamin B. K. Berger S. Bernuzzi D. Bersanetti A. Bertolini J. Betzwieser D. Beveridge R. Bhandare U. Bhardwaj D. Bhattacharjee S. Bhaumik I. A. Bilenko G. Billingsley S. Bini R. Birney O. Birnholtz S. Biscans M. Bischi S. Biscoveanu A. Bisht B. Biswas M. Bitossi M.-A. Bizouard J. K. Blackburn C. D. Blair D. G. Blair R. M. Blair F. Bobba N. Bode M. Boer G. Bogaert M. Boldrini L. D. Bonavena F. Bondu E. Bonilla R. Bonnand P. Booker B. A. Boom R. Bork V. Boschi N. Bose S. Bose V. Bossilkov V. Boudart Y. Bouffanais A. Bozzi C. Bradaschia P. R. Brady A. Bramley A. Branch M. Branchesi J. E. Brau M. Breschi T. Briant J. H. Briggs A. Brillet M. Brinkmann P. Brockill A. F. Brooks J. Brooks D. D. Brown S. Brunett G. Bruno R. Bruntz J. Bryant T. Bulik H. J. Bulten A. Buonanno R. Buscicchio D. Buskulic C. Buy R. L. Byer L. Cadonati G. Cagnoli C. Cahillane J. Calderón Bustillo J. D. Callaghan T. A. Callister E. Ca LIGO Laboratory California Institute of Technology Pasadena California 91125 USA Louisiana State University Baton Rouge Louisiana 70803 USA Dipartimento di Farmacia Università di Salerno I-84084 Fisciano Salerno Italy INFN Sezione di Napoli Complesso Universitario di Monte S. Angelo I-80126 Napoli Italy OzGrav School of Physics & Astronomy Monash University Clayton 3800 Victoria Australia LIGO Livingston Observatory Livingston Louisiana 70754 USA University of Wisconsin-Milwaukee Milwaukee Wisconsin 53201 USA OzGrav Australian National University Canberra Australian Capital Territory 0200 Australia Max Planck Institute for Gravitational Physics (Albert Einstein Institute) D-30167 Hannover Germany Leibniz Universität Hannover D-30167 Hannover Germany Inter-University Centre for Astronomy and Astrophysics Pune 411007 India University of Cambridge Cambridge CB2 1TN United Kingdom Theoretisch-Physikalisches Institut Friedrich-Schiller-Universität Jena D-07743 Jena Germany University of Birmingham Birmingham B15 2TT United Kingdom Center for Interdisciplinary Exploration & Research in Astrophysics (CIERA) Northwestern University Evanston Illinois 60208 USA Instituto Nacional de Pesquisas Espaciais 12227-010 São José dos Campos São Paulo Brazil Gravity Exploration Institute Cardiff University Cardiff CF24 3AA United Kingdom INFN Sezione di Pisa I-56127 Pisa Italy Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan INFN Sezione di Torino I-10125 Torino Italy Università di Napoli “Federico II” Complesso Universitario di Monte S. Angelo I-80126 Napoli Italy Université de Lyon Université Claude Bernard Lyon 1 CNRS Institut Lumière Matière F-69622 Villeurbanne France Department of Physics The University of Tokyo Bunkyo-ku Tokyo 113-0033 Japan Research Center for the Early Un

Results are presented of searches for continuous gravitational waves from 20 accreting millisecond x-ray pulsars with accurately measured spin frequencies and orbital parameters, using data from the third observing run of the Advanced LIGO and Advanced Virgo detectors. The search algorithm uses a hidden Markov model, where the transition probabilities allow the frequency to wander according to an unbiased random walk, while the J-statistic maximum-likelihood matched filter tracks the binary orbital phase. Three narrow subbands are searched for each target, centered on harmonics of the measured spin frequency. The search yields 16 candidates, consistent with a false alarm probability of 30% per subband and target searched. These candidates, along with one candidate from an additional target-of-opportunity search done for SAX J1808.4−3658, which was in outburst during one month of the observing run, cannot be confidently associated with a known noise source. Additional follow-up does not provide convincing evidence that any are a true astrophysical signal. When all candidates are assumed nonastrophysical, upper limits are set on the maximum wave strain detectable at 95% confidence, h095%. The strictest constraint is h095%=4.7×10−26 from IGR J17062−6143. Constraints on the detectable wave strain from each target lead to constraints on neutron star ellipticity and r-mode amplitude, the strictest of which are ε95%=3.1×10−7 and α95%=1.8×10−5 respectively. This analysis is the most comprehensive and sensitive search of continuous gravitational waves from accreting millisecond x-ray pulsars to date.

关键词： Gravitational waves Binary stars Neutron stars & pulsars

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Attack on an ID-based authenticated group key exchange protocol with identifying malicious participants

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International Journal of Network Security 2016年第2期18卷 393-396页

作者： Wei, Fushan Wei, Yun Ma, Chuangui School of Computer Science and Technology Xidian University No. 2 South Taibai Road Xian Shanxi710071 China State Key Laboratory of Mathematical Engineering and Advanced Computing No. 92 Kexue Road Zhengzhou Henan450001 China

An authenticated group key exchange (AGKE) protocol allows a group of participants to establish a common session key and then provides secure group communications in collaborative and distributed applications. Recently, Wu et al. proposed an ID-based authenticated group key exchange protocol based on bilinear pairings. They claimed that their protocol can detect and identify the malicious participants, which means it not only can check whether malicious participants exist in the protocol or not, but also can find out who the malicious participants are. However, their protocol is not as secure as claimed. In this letter, we show that Wu et al.'s protocol is insecure against an insider colluding attack. Two malicious participants can collude to impersonate several honest participants to the rest participants in the group. In addition, we also figure out what has gone wrong with Wu et al.'s protocol and how to fix it.

关键词： Public key cryptography

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The global spectrum of tree crown architecture

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Nature communications 2025年第1期16卷 4876页

作者： Tommaso Jucker Fabian Jörg Fischer Jérôme Chave David A Coomes John Caspersen Arshad Ali Grace Jopaul Loubota Panzou Ted R Feldpausch Daniel Falster Vladimir A Usoltsev Toby D Jackson Stephen Adu-Bredu Luciana F Alves Mohammad Aminpour Bhely Angoboy Ilondea Niels P R Anten Cécile Antin Yousef Askari Narayanan Ayyappan Lindsay F Banin Nicolas Barbier John J Battles Hans Beeckman Yannick E Bocko Ben Bond-Lamberty Frans Bongers Samuel Bowers Michiel van Breugel Arthur Chantrain Rajeev Chaudhary Jingyu Dai Michele Dalponte Kangbéni Dimobe Jean-Christophe Domec Jean-Louis Doucet Juan Manuel Dupuy Rada Remko A Duursma Moisés Enríquez Karin Y van Ewijk William Farfán-Rios Adeline Fayolle Marco Ferretti Eric Forni David I Forrester Hammad Gilani John L Godlee Matthias Haeni Jefferson S Hall Jie-Kun He Andreas Hemp José L Hernández-Stefanoni Steven I Higgins Robert J Holdaway Kiramat Hussain Lindsay B Hutley Tomoaki Ichie Yoshiko Iida Hai-Sheng Jiang Puspa Raj Joshi Hasan Kaboli Maryam Kazempour Larsary Tanaka Kenzo Brian D Kloeppel Takashi S Kohyama Suwash Kunwar Shem Kuyah Jakub Kvasnica Siliang Lin Emily R Lines Hongyan Liu Craig Lorimer Jean-Joël Loumeto Yadvinder Malhi Peter L Marshall Eskil Mattsson Radim Matula Jorge A Meave Sylvanus Mensah Xiangcheng Mi Stéphane T Momo Glenn R Moncrieff Francisco Mora Rodrigo Muñoz Sarath P Nissanka Zamah Shari Nur Hajar Kevin L O'Hara Steven Pearce Raphaël Pelissier Pablo L Peri Pierre Ploton Lourens Poorter Mohsen Javanmiri Pour Hassan Pourbabaei Sabina C Ribeiro Casey Ryan Anvar Sanaei Jennifer Sanger Michael Schlund Giacomo Sellan Alexander Shenkin Bonaventure Sonké Frank J Sterck Martin Svátek Kentaro Takagi Anna T Trugman Matthew A Vadeboncoeur Ahmad Valipour Mark C Vanderwel Alejandra G Vovides Peter Waldner Weiwei Wang Li-Qiu Wang Christian Wirth Murray Woods Wenhua Xiang Fabiano de Aquino Ximenes Yaozhan Xu Toshihiro Yamada Miguel A Zavala Niklaus E Zimmermann School of Biological Sciences University of Bristol Bristol BS8 1TQ UK. t.jucker@bristol.ac.uk. School of Biological Sciences University of Bristol Bristol BS8 1TQ UK. UMR5300 Centre de Recherche sur la Biodiversité et l'Environnement CNRS INPT IRD Université de Toulouse Bât 4R1 118 route de Narbonne 31062 Toulouse France. Conservation Research Institute University of Cambridge Cambridge CB2 3EA UK. Institute of Forestry and Conservation University of Toronto 33 Willcocks Street Toronto ON M5S 3B3 Canada. Forest Ecology Research Group College of Life Sciences Hebei University Baoding 071002 Hebei China. Institut Supérieur des Sciences Géographiques Environnementales et de l'Aménagement (ISSGEA) Université DENIS SASSOU-N'GUESSO Kintélé République du Congo. Laboratoire de Biodiversité de Gestion des Ecosystèmes et de l'Environnement (LBGE) Faculté des Sciences et Techniques Université Marien NGOUABI BP 69 Brazzaville Brazzaville République du Congo. Faculty of Environment Science and Economy University of Exeter Exeter EX4 4QE UK. Evolution & Ecology Research Centre University of New South Wales Sydney NSW Sydney Australia. Department of Forest Mensuration and Management Ural State Forest Engineering and Economic University Yekaterinburg Russia. Forestry Research Institute of Ghana Council for Scientific and Industrial Research University Kumasi Ghana. Center for Tropical Research Institute of the Environment and Sustainability University of California Los Angeles Los Angeles CA USA. Natural Recourses and Watershed Management Office West Azerbaijan Province Urmia Iran. Institut National pour l'Etude et la Recherche Agronomiques BP 2037 Kinshasa Democratic Republic of the Congo. Université Pédagogique Nationale BP 8815 Kinshasa-Ngaliema Democratic Republic of the Congo. Center for Crop Systems Analysis Wageningen University & Research Wageningen Netherlands. AMAP lab Montpellier University IRD CIRAD CNRS INRAE Montpellier France. Rese

Trees can differ enormously in their crown architectural traits, such as the scaling relationships between tree height, crown width and stem diameter. Yet despite the importance of crown architecture in shaping the structure and function of terrestrial ecosystems, we lack a complete picture of what drives this incredible diversity in crown shapes. Using data from 374,888 globally distributed trees, we explore how climate, disturbance, competition, functional traits, and evolutionary history constrain the height and crown width scaling relationships of 1914 tree species. We find that variation in height-diameter scaling relationships is primarily controlled by water availability and light competition. Conversely, crown width is predominantly shaped by exposure to wind and fire, while also covarying with functional traits related to mechanical stability and photosynthesis. Additionally, we identify several plant lineages with highly distinctive stem and crown forms, such as the exceedingly slender dipterocarps of Southeast Asia, or the extremely wide crowns of legume trees in African savannas. Our study charts the global spectrum of tree crown architecture and pinpoints the processes that shape the 3D structure of woody ecosystems.

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Architecture-driven level set optimization: From clustering to subpixel image segmentation

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IEEE Transactions on Cybernetics 2015年第99期PP卷 3181-3194页

作者： Balla-Arabé, Souleymane Gao, Xinbo Ginhac, Dominique Brost, Vincent Yang, Fan Laboratory of Electronic Computing and Imaging Sciences CNRS-UMR 6306 University of Burgundy Dijon21078 France State Key Laboratory of Integrated Services Networks School of Electronic Engineering Xidian University Xi'an710071 China

Thanks to their effectiveness, active contour models (ACMs) are of great interest for computer vision scientists. The level set methods (LSMs) refer to the class of geometric active contours. Comparing with the other ACMs, in addition to subpixel accuracy, it has the intrinsic ability to automatically handle topological changes. Nevertheless, the LSMs are computationally expensive. A solution for their time consumption problem can be hardware acceleration using some massively parallel devices such as graphics processing units (GPUs). But the question is: which accuracy can we reach while still maintaining an adequate algorithm to massively parallel architecture? In this paper, we attempt to push back the compromise between, speed and accuracy, efficiency and effectiveness, to a higher level, comparing with state-of-the-art methods. To this end, we designed a novel architecture-aware hybrid central processing unit (CPU)- GPU LSM for image segmentation. The initialization step, using the well-known k-means algorithm, is fast although executed on a CPU, while the evolution equation of the active contour is inherently local and therefore suitable for GPU-based acceleration. The incorporation of local statistics in the level set evolution allowed our model to detect new boundaries which are not extracted by the used clustering algorithm. Comparing with some cutting-edge LSMs, the introduced model is faster, more accurate, less subject to giving local minima, and therefore suitable for automatic systems. Furthermore, it allows two-phase clustering algorithms to benefit from the numerous LSM advantages such as the ability to achieve robust and subpixel accurate segmentation results with smooth and closed contours. Intensive experiments demonstrate, objectively and subjectively, the good performance of the introduced framework both in terms of speed and accuracy. © 2015 IEEE.

关键词： Clustering algorithms

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Interactive reflection simulation via physical shading model and fast environment mapping

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ICIC Express Letters, Part B: Applications 2016年第2期7卷 351-356页

作者： Xu, Jie Fu, Jinhua School of Software Zhengzhou University of Light Industry China School of Computer and Communication Engineering Zhengzhou University of Light Industry No. 5 Dongfeng Road Zhengzhou China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Information Science and Technology Institute Zhengzhou China

In order to enhance realistic reflection effects on some objects and realize faster rendering to meet interactive requirements, we present a novel method to produce interactive reflection simulation using physical shading model and fast environment mapping. The physical shading model could efficiently express ambient lighting, specular lighting and diffuse lighting. Also the model is based on the microfacet distribution function, which can describe physics-based characteristics. Fast environment mapping is realized by Spherical Harmonics (SH) transformation, and the rendering equation can be rewritten as a simple dot product of SH coefficients, which fits for GPU (Graphics Processing Unit) computation. The results show that we can realize faster rendering and acquire realistic reflection effects such as glossy and mapping scene on the surface. © 2016 ICIC International.

关键词： Lighting

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An Energy-Efficient Implementation of LU Factorization on Heterogeneous Systems

An Energy-Efficient Implementation of LU Factorization on He...

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International Conference on Parallel and Distributed Systems (ICPADS)

作者： Canqun Yang Cheng Chen Tao Tang Xuhao Chen Jianbin Fang Jingling Xue State Key Laboratory of High Peformance Computing Nathional University of Defense Technology Changsha China College of Computer National University of Defense Technology Changsha China School of Computer Science and Engineering UNSW Australia

ISBN: (纸本)9781509053827

Energy consumption is increasingly becoming a critical issue in HPC. There is a broad consensus that future exascale-computing will be strongly constrained by energy consumption. Heterogeneous systems usually feature higher energy efficiency than homogeneous ones since the former employ coprocessors that provide higher GFlops/Watt than CPUs. Thus, it is of great importance to better utilize the coprocessors from an energy-efficiency standpoint. Dense LU factorization (LU) is a critical kernel that is widely used to solve dense linear algebra problems. However, existingheterogeneous implementations are typically designed to be CPU-centered, which rely highly on CPUs and thus suffer from large data transfer overheads via PCIe, hurting the energy efficiency of the entire computer system. We present a coprocessor-resident implementation of LU for a heterogeneous platform to improve energy efficiency without impeding performance by relieving the CPUs from performing unnecessary computations and reducing excessive data transfers via PCIe. In addition, several optimizations are judiciously employed to overlap the computation and communication between the CPUs and coprocessors. Validation on the Tianhe-2 supercomputer shows that our LU implementation gains higher performance, achieves higher energy efficiency, and features a better scalability than Intel MKL.

关键词： Coprocessors Data transfer Optimization Linear algebra Scalability Kernel Power demand

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Efficient Priority Packet Recovery Based on Network Coding in DVB-IPDC System

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China Communications 2015年第7期12卷 167-178页

作者： WANG Lian PENG Daiyuan LIANG Hongbin Provincial Key Laboratory of Information Coding and Transmission School of Information Science and TechnologySouthwest Jiaotong University College of Computing Science and Technology Chongqing University of Posts and Telecommunications School of Transportation and Logistics Southwest Jiaotong University Secure Networking and Computing Institute School of Computing Informatics and Decision Systems EngineeringArizona State University

In DVB-IPDC system, due to the constraints of handheld devices and the broadcast nature of wireless network, packet loss is inevitable. ECDR-NC proposed is a retransmission encoding packet selection algorithm based on the dynamic information updating, which can find the current most effective complete decoding packet. ECDR-NC can not only avoid the redundant encoding packets due to the overlapping among encoding packets, but also reduce the computational complexity compared with the traditional encoding schemes. Furthermore, the retransmission upper bound of ECDR-NC is fully controlled. In time-sensitive applications, to maximize the aggregate number of recovery packets while minimizing the total number of discarded packets due to the time limit according to the priority preference, the adaptive priority scheme EPNC is formulized, and the weighted relation graph is constructed to find the maximum-weighted encoding packets sequence according to the decoding gains. In the same network environment, the performances comparisons between PNC and EPNC show that EPNC is more efficient and more rational, and the average discarded packets ratios ofEPNC can be reduced about 18%~27%. The main contributions of this paper are an effective retransmission encoding packet selection algorithm ECDR-NC proposed, and a new adaptive priority recovery scheme EPNC introduced into DVB-IPDC system.

关键词： digital video broadcasting（DVB） retransmission network coding（NC） longterm evolution（LTE） wireless network

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