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9th International Conference on computer Graphics Theory and Applications, GRAPP 2014

作者： Toony, Zahra Laurendeau, Denis Giguère, Philippe Gagné, Christian Computer Vision and System Laboratory Department of Electrical and Computer Engineering Université Laval Québec QC Canada Department of Computer Science and Software Engineering Université Laval Québec QC Canada

ISBN: (纸本)9789897580024

Being able to automatically segment 3D models into meaningful parts is an important goal in 3D shape processing. In this paper, we are proposing a fast and easy-to-implement 3D segmentation approach, which is based on spectral clustering. For this purpose, we define an improved formulation of the similarity matrix which allows our algorithm to segment both free-form and CAD (computer Aided Design) 3D models. In 3D space, different shapes, such as planes and cylinders, have different surface normal distributions. We defined the similarity of vertices based on their normals which can segment a 3D model into its geometric features. Results show the effectiveness and robustness of our method in segmenting a wide range of 3D models. Even in the case of complex models, our method results in meaningful segmentations. We tested our segmentation approach on real data segmentation, in the presence of noise and also in comparison with other methods which provided good results in all cases.

关键词： computer aided design

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International Society for Therapeutic Ultrasound Conference 2016

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Journal of Therapeutic Ultrasound 2017年第1期5卷 1-114页

作者： Brian Fowlkes Pejman Ghanouni Narendra Sanghvi Constantin Coussios Paul C. Lyon Michael Gray Christophoros Mannaris Marie de Saint Victor Eleanor Stride Robin Cleveland Robert Carlisle Feng Wu Mark Middleton Fergus Gleeson Jean-Franҫois Aubry Kim Butts Pauly Chrit Moonen Jacob Vortman Shirley Sharabi Dianne Daniels David Last David Guez Yoav Levy Alexander Volovick Javier Grinfeld Itay Rachmilevich Talia Amar Zion Zibly Yael Mardor Sagi Harnof Michael Plaksin Yoni Weissler Shy Shoham Eitan Kimmel Omer Naor Nairouz Farah Dong-Guk Paeng Zhiyuan Xu John Snell Anders H. Quigg Matthew Eames Changzhu Jin Ashli C. Everstine Jason P. Sheehan Beatriz S. Lopes Neal Kassell Thomas Looi Vera Khokhlova Charles Mougenot Kullervo Hynynen James Drake Michael Slayton Richard C. Amodei Keegan Compton Ashley McNelly Daniel Latt John Kearney David Melodelima Aurelien Dupre Yao Chen David Perol Jeremy Vincenot Jean-Yves Chapelon Michel Rivoire Wei Guo Guoxin Ren Guofeng Shen Michael Neidrauer Leonid Zubkov Michael S. Weingarten David J. Margolis Peter A. Lewin Nathan McDannold Jonathan Sutton Natalia Vykhodtseva Margaret Livingstone Thiele Kobus Yong-Zhi Zhang Michael Schwartz Yuexi Huang Nir Lipsman Jennifer Jain Martin Chapman Tejas Sankar Andres Lozano Robert Yeung Christakis Damianou Nikolaos Papadopoulos Omer Brokman Eyal Zadicario Ori Brenner David Castel Shih-Ying Wu Julien Grondin Wenlan Zheng Marc Heidmann Maria Eleni Karakatsani Carlos J. Sierra Sánchez Vincent Ferrera Elisa E. Konofagou Marinos Yiannakou HongSeok Cho Hwayoun Lee Mun Han Jong-Ryul Choi Taekwan Lee Sanghyun Ahn Yongmin Chang Juyoung Park Nicholas Ellens Ari Partanen Keyvan Farahani Raag Airan Alexandre Carpentier Michael Canney Alexandre Vignot Cyril Lafon Jean-yves Delattre Ahmed Idbaih Henrik Odéen Bradley Bolster Eun Kee Jeong Dennis L. Parker Pooja Gaur Xue Feng Samuel Fielden Craig Meyer Beat Werner William Grissom Michael Marx Hans Weber Valentina Taviani Brian Hargreaves Jun Tanaka Kentaro Kikuchi Ayumu Ishijima Takashi Azuma Kosuke Minamihata Satoshi Basic Radiological Sciences Division Department of Radiology University of Michigan Ann Arbor USA Stanford School of Medicine Stanford USA SonaCare Medical Indianapolis USA Institute of Biomedical Engineering University of Oxford Oxford UK HIFU Unit Churchill Hospital Oxford UK Department of Oncology University of Oxford Oxford UK Department of Radiology Churchill Hospital Oxford UK Institut Langevin Paris France Center for Imaging Sciences Imaging Division University Medical Center Utrecht The Netherlands InSighTec Haifa Israel Sheba Medical Center Ramat-Gan Israel Tel-Aviv University Tel-Aviv Israel Faculty of Biomedical Engineering & Russell Berrie Nanotechnology Institute Technion – Israel Institute of Technology Haifa Israel ELSC Center for Brain Sciences Hebrew University Jerusalem Israel Biomedical Engineering Technion- Israel Institute of Technology Haifa Israel Faculty of Life Sciences Bar Ilan University Ramat Gan Israel Focused Ultrasound Foundation Charlottesville USA Ocean System Engineering Jeju National University Jeju Republic of Korea Neurosurgery University of Virginia Charlottesville USA Biology University of Virginia Charlottesville USA Pathology University of Virginia Charlottesville USA Hospital for Sick Children Toronto Canada University of Toronto Toronto Canada University of Washington Seattle USA Philips Healthcare Markham Canada Sunnybrook Research Institute Toronto Canada Guided Therapy Systems LLC Mesa USA School of Medicine University of Arizona Tucson USA The CORE Institute Phoenix USA LabTAU - U1032 INSERM Lyon France Centre Leon Berard Lyon France Department of Oral Maxillofacial and Head Neck Oncology Shanghai 9th People’s Hospital Shanghai China The School of Biomedical Engineering Science and Health Systems Drexel University Philadelphia USA Department of Surgery College of Medicine Drexel University Philadelphia USA Biostatistics and Epidemiology University of Pennsylvania Philadelphi

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Low Temperature Co-fired Ceramic Package for Lab-on-CMOS Applied in Cell Viability Monitoring

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Procedia engineering 2015年 120卷 1079-1082页

作者： Niina Halonen Joni Kilpijärvi Maciej Sobocinski Timir Datta-Chaudhuri Antti Hassinen Someshekar B. Prakash Peter Möller Pamela Abshire Elisabeth Smela Sakari Kellokumpu Anita Lloyd Spetz Microelectronics and Materials Physics Laboratories Department of Electrical Engineering P.O. Box 4500 FI-90014 University of Oulu Finland Laboratory for MicroTechnologies Department of Mechanical Engineering and the Institute for Systems Research A. James Clark School of Engineering University of Maryland College Park MD 20742 USA Integrated Biomorphic Information System Laboratory Department of Electrical & Computer Engineering and the Institute for Systems Research University of Maryland College Park MD 20742 USA Faculty of Biochemistry and Molecular Medicine University of Oulu P.O. Box 5400 FI-90014 University of Oulu Finland Advanced Design Organization Intel Corporation Hillsboro USA Division of Applied Sensor Science Department of Physics Chemistry and Biology Linköping University SE-58183 Linköping Sweden

Lab-on-CMOS chips (LOCMOS) are sophisticated miniaturized analysis tools based on integrated circuit (IC) microchips performing various laboratory functions. We have developed a low temperature co-fired ceramic (LTCC) package for a LOCMOS application regarding cytotoxicity assessment of nanomaterials. The LTCC packaged capacitance sensor chip is designed for long-term cell viability monitoring during nanoparticle exposure. The introduced LTCC package utilizes the flip chip bonding technique, and it is biocompatible as well as able to withstand the environmental conditions required to maintain mammalian cell culture directly on the surface of a complementary metal oxide semiconductor (CMOS) integrated circuit.

关键词： Lab-on-CMOS low temperature co-fired ceramics electronics packaging cytotoxicity assesment capacitance sensing

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A secure self-destruction scheme with IBE for the internet content privacy

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Jisuanji Xuebao/Chinese Journal of computers 2014年第1期37卷 139-150页

作者： Xiong, Jin-Bo Yao, Zhi-Qiang Ma, Jian-Feng Li, Feng-Hua Liu, Xi-Meng Faculty of Software Fujian Normal University Fuzhou 350108 China School of Computer Science and Technology Xidian University Xi'an 710071 China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing 100093 China Shaanxi Key Laboratory of Network and System Security Xidian University Xi'an 710071 China

With the rapid emerging of novelty Web services and cloud services, privacy information and documents of users become increasingly easy to be exposed in the Internet. To tackle the issue of lifecycle security of the privacy information and documents in the Internet, in this paper, we propose the idea of combining the three security methods of multilevel security, identity-based encryption (IBE), and distributed hash table (DHT) network. And we further propose an IBE-based secure self-destruction (ISS) scheme to protect the confidentiality and privacy of the Internet content by self-destruction after a predefined time. In our proposed ISS security scheme, the Internet content is first partitioned into many segments with diverse security levels, and each segment is encrypted with a symmetric key to obtain primitive ciphertext. By applying the methods of association and extraction, the primitive ciphertext is turned to associated ciphertext, which is then divided into extracted ciphertext and encapsulated ciphertext. The latter is encapsulated into the Internet content self-destructing object (CDO), which is stored into the storage services provider. Furthermore, to protect the privacy security when the CDO expired, the symmetric key is encrypted using the IBE algorithm based on the identity of the authorized user. The combination of this key's ciphertext and the extracted ciphertext, by means of Lagrange polynomial processing, generates mixture ciphertext shares. Then those shares are distributed into nodes within the DHT network and will be automatically discarded over the deadline when the primitive ciphertext and the symmtric key are unrecoverable. Consequently, the ISS scheme achieves the aim of secure self-destruction. Comprehensive analysis shows that the ISS scheme is able to satisfy all the design demands and is more secure than existing schemes. The ISS scheme can resist against not only the traditional cryptanalysis and brute-force attack, but also the Sybil

关键词： Access control

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Asymmetrical Voltage-Cancellation Control for a Series-Series Fixed-Frequency Inductive Power Transfer system

Asymmetrical Voltage-Cancellation Control for a Series-Serie...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Bernardo Peschiera Kunwar Aditya Sheldon S. Williamson Power Electronics and Energy Research (PEER) Group P. D. Ziogas Power Electronics Laboratory Department of Electrical and Computer Engineering Concordia University General Motors-Automotive Center of Excellence (GM-ACE) Department of Electrical Computer and software Engineering Faculty of Engineering and Applied Science The University of Ontario-Institute of Technology

ISBN: (纸本)9781479940318

The main objective of this paper is to study and analyze the power supply stage of a series-series (SS) fixed-frequency inductive power transfer (IPT) system, in order to suggest effective soft switching techniques to improve its performance. Because of the characteristics of the system, zero voltage switching (ZVS) operation was used and three control strategies were compared: phase-shift (PS) control, asymmetrical duty cycle (ADC) control and optimal asymmetrical voltage cancellation (o_AVC) control. The o_AVC control is found to be more efficient for this application. Additionally, this paper presents an inductive power transfer transformer (IPTT) prototype that was built in the laboratory, which helped validate the theoretical analysis and simulation results with practical tests. The plots and circuit simulations were obtained from MATLAB and SIMULINK respectively.

关键词： Battery Charging Electric vehicles Inductive power transfer Power electronics Resonance Transportation

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Adaptively secure key-policy ABE scheme with fast decryption

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Tongxin Xuebao/Journal on Communications 2014年 35卷 26-32页

作者： Li, Qi Ma, Jian-Feng Xiong, Jin-Bo Liu, Xi-Meng School of Computer Science and Technology Xidian University Xi'an710071 China Shaanxi Key Laboratory of Network and System Security Xidian University Xi'an710071 China Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China Faculty of Software Fujian Normal University Fuzhou350108 China School of Telecommunication Engineering Xidian University Xi'an710071 China

In the existing adaptively secure ABE (attribute-based encryption) schemes, the decryption cost goes linearly with the number of attributes that are used in decryption. An adaptively secure key-policy ABE (FKP-ABE) scheme with fast decryption is proposed, where constant size of computation overhead is implemented in decryption. This scheme is constructed on composite order bilinear groups and supports any monotonic access structure that can be expressed by LSSS (linear secret sharing schemes). The proposed scheme is proved to be adaptively secure in the standard model. ©, 2014, Editorial Board of Journal on Communications. All right reserved.

关键词： Cryptography

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Human genome meeting 2016 : Houston, TX, USA. 28 February - 2 March 2016

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Human genomics 2016年第1期10 Suppl 1卷 12页

作者： A. K. Srivastava Y. Wang R. Huang C. Skinner T. Thompson L. Pollard T. Wood F. Luo R. Stevenson R. Polimanti J. Gelernter X. Lin I. Y. Lim Y. Wu A. L. Teh L. Chen I. M. Aris S. E. Soh M. T. Tint J. L. MacIsaac F. Yap K. Kwek S. M. Saw M. S. Kobor M. J. Meaney K. M. Godfrey Y. S. Chong J. D. Holbrook Y. S. Lee P. D. Gluckman N. Karnani A. Kapoor D. Lee A. Chakravarti C. Maercker F. Graf M. Boutros G. Stamoulis F. Santoni P. Makrythanasis A. Letourneau M. Guipponi N. Panousis M. Garieri P. Ribaux E. Falconnet C. Borel S. E. Antonarakis S. Kumar J. Curran J. Blangero S. Chatterjee J. Akiyama D. Auer C. Berrios L. Pennacchio T. R. Donti G. Cappuccio M. Miller P. Atwal A. Kennedy A. Cardon C. Bacino L. Emrick J. Hertecant F. Baumer B. Porter M. Bainbridge P. Bonnen B. Graham R. Sutton Q. Sun S. Elsea Z. Hu P. Wang Y. Zhu J. Zhao M. Xiong David A. Bennett A. Hidalgo-Miranda S. Romero-Cordoba S. Rodriguez-Cuevas R. Rebollar-Vega E. Tagliabue M. Iorio E. D’Ippolito S. Baroni B. Kaczkowski Y. Tanaka H. Kawaji A. Sandelin R. Andersson M. Itoh T. Lassmann Y. Hayashizaki P. Carninci A. R. R. Forrest C. A. Semple E. A. Rosenthal B. Shirts L. Amendola C. Gallego M. Horike-Pyne A. Burt P. Robertson P. Beyers C. Nefcy D. Veenstra F. Hisama R. Bennett M. Dorschner D. Nickerson J. Smith K. Patterson D. Crosslin R. Nassir N. Zubair T. Harrison U. Peters G. Jarvik F. Menghi K. Inaki X. Woo P. Kumar K. Grzeda A. Malhotra H. Kim D. Ucar P. Shreckengast K. Karuturi J. Keck J. Chuang E. T. Liu B. Ji A. Tyler G. Ananda G. Carter H. Nikbakht M. Montagne M. Zeinieh A. Harutyunyan M. Mcconechy N. Jabado P. Lavigne J. Majewski J. B. Goldstein M. Overman G. Varadhachary R. Shroff R. Wolff M. Javle A. Futreal D. Fogelman L. Bravo W. Fajardo H. Gomez C. Castaneda C. Rolfo J. A. Pinto K. C. Akdemir L. Chin S. Patterson C. Statz S. Mockus S. N. Nikolaev X. I. Bonilla L. Parmentier B. King F. Bezrukov G. Kaya V. Zoete V. Seplyarskiy H. Sharpe T. McKee K. Popadin N. Basset-Seguin R. Ben Chaabene M. Andrianova C. Verdan K. Grosdemange O. Sumara M. E JCSRI Greenwood Genetic Center Greenwood USA School of Computing Clemson University Clemson USA Biochemical Genetics Laboratory Greenwood Genetic Center Greenwood USA Department Psychiatry Yale Sch Med and VA CT Healthcare Center West Haven USA Department Genetics Yale Sch Med and VA CT Healthcare Center West Haven USA Department Neurobiology Yale Sch Med and VA CT Healthcare Center West Haven USA Singapore Institute for Clinical Sciences Singapore Singapore National University of Singapore Singapore Singapore University of British Columbia Vancouver Canada KK Women’s and Children’s Hospital Singapore Singapore University of Southampton and University Hospital Southampton NHS Foundation Trust Southampton UK University of Auckland Auckland New Zealand McKusick-Nathans Institute of Genetic Medicine Johns Hopkins University School of Medicine Baltimore USA Esslingen University of Applied Sciences Esslingen Germany German Cancer Research Center Heidelberg Germany Department of Genetic Medicine and Development University of Geneva Medical School Geneva Switzerland Geneva University Hospitals-HUG Service of Genetic Medicine Geneva Switzerland GE3 Institute of Genetics and Genomics of Geneva University of Geneva Medical School Geneva Switzerland South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Edinburg USA South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Brownsville USA Institute of Genetic Medicine Johns Hopkins University Baltimore USA Genomics Division Lawrence Berkeley National Laboratory Berkeley USA Molecular and Human Genetics Baylor College of Medicine Houston USA Department of Translational Medical Sciences Federico II University Naples Italy Metabolon Inc Durham USA Section of Pediatric Neurology and Neuroscience Baylor College of Medicine Houston USA Tawam Hospital Abu Dhabi United Arab Emirates Stanford Medical School Stanford USA Sch

O1 The metabolomics approach to autism: identification of biomarkers for early detection of autism spectrum disorder A. K. Srivastava, Y. Wang, R. Huang, C. Skinner, T. Thompson, L. Pollard, T. Wood, F. Luo, R. Stevenson O2 Phenome-wide association study for smoking- and drinking-associated genes in 26,394 American women with African, Asian, European, and Hispanic descents R. Polimanti, J. Gelernter O3 Effects of prenatal environment, genotype and DNA methylation on birth weight and subsequent postnatal outcomes: findings from GUSTO, an Asian birth cohort X. Lin, I. Y. Lim, Y. Wu, A. L. Teh, L. Chen, I. M. Aris, S. E. Soh, M. T. Tint, J. L. MacIsaac, F. Yap, K. Kwek, S. M. Saw, M. S. Kobor, M. J. Meaney, K. M. Godfrey, Y. S. Chong, J. D. Holbrook, Y. S. Lee, P. D. Gluckman, N. Karnani, GUSTO study group O4 High-throughput identification of specific qt interval modulating enhancers at the SCN5A locus A. Kapoor, D. Lee, A. Chakravarti O5 Identification of extracellular matrix components inducing cancer cell migration in the supernatant of cultivated mesenchymal stem cells C. Maercker, F. Graf, M. Boutros O6 Single cell allele specific expression (ASE) IN T21 and common trisomies: a novel approach to understand DOWN syndrome and other aneuploidies G. Stamoulis, F. Santoni, P. Makrythanasis, A. Letourneau, M. Guipponi, N. Panousis, M. Garieri, P. Ribaux, E. Falconnet, C. Borel, S. E. Antonarakis O7 Role of microRNA in LCL to IPSC reprogramming S. Kumar, J. Curran, J. Blangero O8 Multiple enhancer variants disrupt gene regulatory network in Hirschsprung disease S. Chatterjee, A. Kapoor, J. Akiyama, D. Auer, C. Berrios, L. Pennacchio, A. Chakravarti O9 Metabolomic profiling for the diagnosis of neurometabolic disorders T. R. Donti, G. Cappuccio, M. Miller, P. Atwal, A. Kennedy, A. Cardon, C. Bacino, L. Emrick, J. Hertecant, F. Baumer, B. Porter, M. Bainbridge, P. Bonnen, B. Graham, R. Sutton, Q. Sun, S. Elsea O10 A novel causal methylation network approach to Alzheimer’s

关键词： Pulmonary Arterial Hypertension Oral Squamous Cell Carcinoma Deep Neural Network Autosomal Recessive Polycystic Kidney Disease Whole Genome Bisulfite Sequencing

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Segmentation of natural language documents using term distance as discourse coherency measure

Segmentation of natural language documents using term distan...

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2012 International Conference on Artificial Intelligence, ICAI 2012

作者： Pohorec, Sandi Zorman, Milan Kokol, Peter Laboratory for System Design University of Maribor Faculty of Electrical Engineering and Computer Science Maribor Slovenia

ISBN: (纸本)1601322178

Machine learning (ML) methods are used to extract new knowledge from existing datasets. Ensemble methods (EM) were introduced to improve the ML performance. While EM's offer performance improvements, they limit the amount of control and general understanding of how the final result was achieved. We are researching the possibility to verify ML results with formalization of research results accessible in natural language. We propose to use the extracted information from scientific papers for the verification of ML results. In order to be able to extract the information, relevant to the ML results, an approach to extract specific information rich segments from scientific papers is needed. We present an approach to automated selection of relevant segments from large repositories.

关键词： Information retrieval

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Dual transfer learning

Dual transfer learning

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12th SIAM International Conference on Data Mining, SDM 2012

作者： Long, Mingsheng Wang, Jianmin Ding, Guiguang Cheng, Wei Zhang, Xiang Wang, Wei Department of Computer Science and Technology Tsinghua University Beijing 100084 China School of Software Tsinghua University Beijing 100084 China Key Laboratory for Information System Security Ministry of Education United States Department of Computer Science University of North Carolina Chapel Hill NC United States Dept of Electrical Engineering and Computer Science Case Western Reserve University OH United States

ISBN: (纸本)9781611972320

Transfer learning aims to leverage the knowledge in the source domain to facilitate the learning tasks in the tar- get domain. It has attracted extensive research interests recently due to its effectiveness in a wide range of applica- Tions. The general idea of the existing methods is to utilize the common latent structure shared across domains as the bridge for knowledge transfer. These methods usually model the common latent structure by using either the marginal distribution or the conditional distribution. However, with- out exploring the duality between these two distributions, these single bridge methods may not achieve optimal capa- bility of knowledge transfer. In this paper, we propose a novel approach, Dual Transfer Learning (DTL), which simultaneously learns the marginal and conditional distributions, and exploits the du- Ality between them in a principled way. The key idea behind DTL is that learning one distribution can help to learn the other. This duality property leads to mutual reinforcement when adapting both distributions across domains to trans- fer knowledge. The proposed method is formulated as an optimization problem based on joint nonnegative matrix tri- factorizations (NMTF). The two distributions are learned from the decomposed latent factors that exhibit the duality property. An efficient alternating minimization algorithm is developed to solve the optimization problem with con- vergence guarantee. Extensive experimental results demon- strate that DTL is more effective than alternative transfer learning methods. Copyright © 2012 by the Society for Industrial and Applied Mathematics.

关键词： Optimization

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An adaptive policy-based approach for static and dynamic policy conflict detection: An implementation of location-based system

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content Technology and its Applications 2012年第22期6卷 1-10页

作者： Mansor, Abdelhamid Abdelhadi Wan Kadir, Wan M.N. Anwar, Toni Elias, Hidayah Hassan, Khalid Department of Computer Sciences Faculty of Mathematical Sciences University of Khartoum Sudan Software Engineering Department Faculty of Computer Science and Information System Universiti Teknologi Malaysia Malaysia Wireless Communication Centre Faculty of Electrical Engineering Universiti Teknologi Malaysia Malaysia

The new paradigm in mobile services lies in providing a location-based user experience and here lies the tremendous scope for expansion of location-based services (LBS). One of the key approaches that have been recognized as an enabler of such a view is policy-based management, which has been mostly acknowledged as a methodology that provides adaptability and support to automatically assign network resources, control Quality of Service and security, by considering administratively specified rules. Whilst current research focuses mostly on rules for low-level device configuration, significant challenges remain to be addressed in order to provide dynamic adaptation of policy in response to changes and ensure that policies will lead to a feasible implementation within the managed environment. In this paper, the emphasis is on building the described environment using today's existing technologies. We use our policy-based framework PobMC to combine mobile (location-based) services, ubiquitous and autonomic computing concepts. The goal is to bring the kind of informationrich environment, which is currently limited to computer screens, to the real world. This is achieved by constructing an architecture based on existing wireless network technologies and Web applications. Location information of destinations and users is computed by the received signal strength indicator (RSSI) values of the Wi-Fi sensors, to provide adaptive services over wireless Web. The users use their mobile devices to access these location-based services.

关键词： Location based services

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