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arXiv 2019年

作者： Snyder, Michael P. Lin, Shin Posgai, Amanda Atkinson, Mark Regev, Aviv Rood, Jennifer Rozenblatt-Rosen, Orit Gaffney, Leslie Hupalowska, Anna Satija, Rahul Gehlenborg, Nils Shendure, Jay Laskin, Julia Harbury, Pehr Nystrom, Nicholas A. Bar-Joseph, Ziv Zhang, Kun Börner, Katy Lin, Yiing Conroy, Richard Procaccini, Dena Roy, Ananda L. Pillai, Ajay Brown, Marishka Galis, Zorina S. Cai, Long Shendure, Jay Trapnell, Cole Lin, Shin Jackson, Dana Snyder, Michael P. Nolan, Garry Greenleaf, William James Lin, Yiing Plevritis, Sylvia Ahadi, Sara Lee, Hayan Nevins, Stephanie Esplin, Ed Horning, Aaron Bahmani, Amir Zhang, Kun Sun, Xin Jain, Sanjay Hagood, James Kharchenko, Peter Atkinson, Mark Bodenmiller, Bernd Brusko, Todd Clare-Salzler, Michael Nick, Harry Otto, Kevin Posgai, Amanda Wasserfall, Clive Maffioletti, Sergio Caprioli, Richard M. Spraggins, Jeffrey M. Gutierrez, Danielle Patterson, Nathan Heath Neumann, Elizabeth K. Harris, Raymond deCaestecker, Mark de Plas, Raf Van Lau, Ken Cai, Long Yuan, Guo-Cheng Zhu, Qian Dries, Ruben Yin, Peng Saka, Sinem K. Kishi, Jocelyn Y. Wang, Yu Goldaracena, Isabel Laskin, Julia Ye, DongHye Burnum-Johnson, Kristin E. Piehowski, Paul D. Ansong, Charles Zhu, Ying Harbury, Pehr Desai, Tushar Mulye, Jay Chou, Peter Nagendran, Monica Bar-Joseph, Ziv Teichmann, Sarah A. Paten, Benedict Murphy, Robert F. Ma, Jian Kiselev, Vladimir Yu Kingsford, Carl Ricarte, Allyson Ruffalo, Matthew Gehlenborg, Nils Kharchenko, Peter Vella, Margaret McCallum, Chuck Börner, Katy Cross, Leonard E. Friedman, Samuel H. Heiland, Randy Herr, Bruce Macklin, Paul Quardokus, Ellen M. Record, Lisel Sluka, James P. Weber, Griffin M. Nystrom, Nicholas A. Silverstein, Jonathan C. Blood, Philip D. Ropelewski, Alexander J. Shirey, William E. Mabee, Paula Lenhardt, W. Christopher Robasky, Kimberly Michailidis, Stavros Satija, Rahul Marioni, John Regev, Aviv Butler, Andrew Stuart, Tim Fisher, Eyal Ghazanfar, Shila Rood, Jennifer Gaffney, Leslie Ersalan, Gokcen Biancalani, Tommaso Conroy, Richard Procaccini, Dena Roy, Anan School of Medicine Stanford University 300 Pasteur Drive United States Department of Genetics Stanford School of Medicine StanfordCA94305 United States Department of Medicine University of Washington SeattleWA98195 United States Department of Pathology University of Florida Diabetes Institute GainesvilleFL32610 United States Klarman Cell Observatory Broad Institute of MIT and Harvard CambridgeMA02142 United States Howard Hughes Medical Institute Koch Institute of Integrative Cancer Research Department of Biology Massachusetts Institute of Technology CambridgeMA02140 United States New York Genome Center New York CityNY10013 United States New York University New YorkNY10012 United States Department of Biomedical Informatics Harvard Medical School BostonMA02115 United States Department of Genome Sciences University of Washington SeattleWA98105 United States Department of Chemistry Purdue University West LafayetteIN47907 United States Department of Biochemistry Stanford University School of Medicine StanfordCA94305 United States Pittsburgh Supercomputing Center Carnegie Mellon University PittsburghPA15213 United States Department of Computational Biology School of Computer Science Carnegie Mellon University PittsburghPA15213 United States Department of Bioengineering University of California San Diego La JollaCA92093 United States Department of Intelligent Systems Engineering School of Informatics Computing and Engineering Indiana University BloomingtonIN47408 United States Department of Surgery Washington University School of Medicine St LouisMO63110 United States Division of Program Coordination Planning and Strategic Initiatives National Institutes of Health BethesdaMD20892 United States National Human Genome Research Institute National Institutes of Health BethesdaMD20892 United States National Heart Lung and Blood Institute National Institutes of Health BethesdaMD20892 United States Caltech-UW TMC Departmen

Transformative technologies are enabling the construction of three dimensional (3D) maps of tissues with unprecedented spatial and molecular resolution. Over the next seven years, the NIH Common Fund Human Biomolecular Atlas program (HuBMAP) intends to develop a widely accessible framework for comprehensively mapping the human body at single-cell resolution by supporting technology development, data acquisition, and detailed spatial mapping. HuBMAP will integrate its efforts with other funding agencies, programs, consortia, and the biomedical research community at large towards the shared vision of a comprehensive, accessible 3D molecular and cellular atlas of the human body, in health and various disease settings. Copyright © 2019, The Authors. All rights reserved.

关键词： Mapping

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Comparative analysis of RC4+ algorithm, RC4 NGG algorithm and RC4 GGHN algorithm on image file security

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IOP Conference Series: Materials science and engineering 2018年第1期420卷

作者： F Akbar H Mawengkang S Efendi Master Program (S2) of Informatics Engineering Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia. Department of Mathematics University Sumatera Utara Medan Indonesia. Faculty of Computer Science and Information Technology University of Sumatera Utara Medan Indonesia.

File security is very important in maintaining the confidentiality of the information contained in the file. For that we need a way for information to be kept secrecy, that is with the science of cryptography. Cryptography is one method that disguises data to form encrypted data. In the symmetric RC4+ (Ron Code or Rivest's Cipher) algorithm, it provides secure message security and is an efficient stream cipher. RC4 NGG stream cipher algorithm 3-5 times faster than RC4 algorithm and but still have weakness in KSA randomization. The RC4 GGHN stream cipher algorithm is based on the RC4 algorithm and is relatively more efficient but still has weaknesses. Based on literature review from several research sources, it was stated that RC4+, RC4 NGG, RC4 GGHN are algorithms that are faster and more efficient than RC4 algorithm. Therefore, it is necessary to compare the encryption process with the aim of comparing and knowing which algorithm is better from running time and algorithm complexity. In this research we will perform two tests on each algorithm, image encryption using different key length and same image size and image encryption using the same key length and different image size. The results obtained in this research is RC4 NGG algorithm is the fastest algorithm between the three algorithms that is 13.3% faster than RC4+ and 10.2% faster than RC4 GGHN where the key lengths used in encryption do not affect the processing time and image size used in encryption very affects the processing time.

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Common spatial pattern with feature scaling (FSc-CSP) for motor imagery classification 17th

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17th International Conference on Asia Simulation, AsiaSim 2017

作者： Prathama, Yohanes de Britto Hertyasta Shapiai, Mohd Ibrahim Aris, Siti Armiza Mohd Ibrahim, Zuwairie Jaafar, Jafreezal Fauzi, Hilman Department of Electronic Systems Engineering Malaysia-Japan International Institute of Technology Universiti Teknologi Malaysia Jalan Sultan Yahya Petra Kuala LumpurWP Kuala Lumpur54100 Malaysia Centre for Artificial Intelligence and Robotics Universiti Teknologi Malaysia Jalan Sultan Yahya Petra Kuala LumpurWP Kuala Lumpur54100 Malaysia Razak School of Engineering and Advanced Technology Universiti Teknologi Malaysia Jalan Sultan Yahya Petra Kuala LumpurWP Kuala Lumpur54100 Malaysia Faculty of Electrical and Electronic Engineering Universiti Malaysia Pahang PekanPahang26600 Malaysia Department of Computer and Information Sciences Faculty of Science and Information Technology Universiti Teknologi Petronas Seri Iskandar Malaysia Faculty of Electrical Engineering Telkom University Bandung Indonesia

ISBN: (纸本)9789811064623

Brain-computer Interface (BCI) is a way to translate human thoughts into computer commands. One of the most popular BCI type is Electroencephalography (EEG)-based BCI, where motor imagery is considered one of the most effective ways. Previously, to extract useful information, various filters are introduced, such as spatial, temporal, and spectral filtering. A spatial filtering algorithm called Common Spatial Pattern (CSP) was developed and known to have excellent performance, especially in motor imagery for BCI application. In general, there are several approaches in improving CSP such as regularization approach, analytic approach, and frequency band selection. In general, the existing techniques for band selection is either to select or reject the band by ignoring the importance of the band. For example, Binary Particle Search Optimization Common Spatial Pattern (BPSO-CSP) was proposed to choose multiple possible best bands to be used in processing the data. In this paper, we propose an algorithm called Feature Scaling Common Spatial Pattern (FSc-CSP) to overcome the problem of feature selection. Instead of selecting features, the proposed algorithm employs a feature scaling system to scale the importance of each band by using Genetic Algorithm (GA) altogether with Extreme Learning Machine (ELM) as classifier, with 1 signifying the most important bands, declining until 0 for the unused bands, as opposed to the 1 and 0 selection system used in BPSO-CSP. Conducted experiments show that by employing feature scaling, better results can be achieved especially compared to vanilla CSP and feature selection with 100 hidden nodes in three from five BCI Competition III datasets IVa, namely aa, aw and ay, with around 5–8% better results compared to vanilla CSP and feature selection. © Springer Nature Singapore Pte Ltd. 2017.

关键词： Brain computer interface

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Visualization of 3-Dimensional Vectors in a Dynamic Embryonic System—WormGUIDES

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Journal of computer and Communications 2017年第12期5卷 70-79页

作者： Eric Wang Anthony Santella Zi Wang Dali Wang Zhirong Bao Department of Electric Engineering and Computer Science University of Tennessee Knoxville TN USA Coding Club Farragut High School Knoxville TN USA Developmental Biology Program Memorial Sloan Kettering Cancer Center New York NY USA Environmental Science Division Oak Ridge National Laboratory Oak Ridge TN USA

WormGUIDES is an open-source dynamic embryonic system designed to facilitate global understanding of cellular decisions in the developing nervous system of the nematode C. elegans. WormGUIDES was designed to allow investigation and exploration of the observational results of the C. elegans life cycle from laboratory experiments. In the process of a mechanistic C. elegans model development, some functionalities of WormGUIDES needed to be enhanced to support model validation and verification. In this study, a new way to visualize 3-dimentional vectors within WormGUIDES was investigated and presented. Then, the practical values of this method were demonstrated by visualizing two biologically significant directions (i.e., division orientation and cell polarity) of individual embryonic cells in C. elegans. Lastly, a mathematic approach was designed to illustrate the differences between these two sets of vectors and provide easy indications of the location of these individual cells that have large data discrepancies within the C. elegans embryonic system.

关键词： Embryonic Data Visualization WormGUIDES Workflow Software Architecture Division Orientation Cell Polarity C. elegans

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Analysis of user readiness toward ICT usage at small medium enterprise in south tangerang

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Journal of Physics: Conference Series 2018年第1期1007卷 012042-012042页

作者： Napitupulu, D Syafrullah, M Rahim, R Abdullah, D Setiawan, MI Research Center for Quality System & Testing Technology Indonesian Institute of Sciences Tangerang Selatan Banten Indonesia Program of Master of Computer Science Universitas Budi Luhur Indonesia School of Computer and Communication Engineering Universiti Malaysia Perlis Malaysia Department of Informatics Universitas Malikussaleh Aceh Indonesia Department of Civil Engineering Narotama University Surabaya Indonesia

Utilization of Information and Communication Technology (ICT) is still relatively low in the level of SMEs due to various limitations ranging from access to capital, till the marketing network. ICT is present to provide the ability for SMEs in improving the benefits and competitive advantage of the organization. This study aims to determine the level of readiness of SMEs in utilizing technology, especially ICT. The methodology used is a survey to see the technology readiness of 107 SMEs in South Tangerang selected by purposive sampling. The approach used is TRI (Technology Readiness Index) which is the individual perception of technology based on four criteria that is optimism, innovativeness, discomfort and insecurity. The results showed that the optimism and innovativeness variables significantly positively influence the technology readiness while the variables of discomfort and insecurity also significantly positively influence the readiness of ICT.

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Corrigendum: 'Electrical and optical properties of Zr doped β-Ga2O3 single crystals' [Appl. Phys. Express 12, 085502 (2019)]

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Applied Physics Express 2019年第10期12卷

作者： Muad Saleh Arkka Bhattacharyya Joel B. Varley Santosh Swain Jani Jesenovec Sriram Krishnamoorthy Kelvin Lynn Materials Science & Engineering Program Washington State University Pullman WA 99164 United States of America Center for Materials Research Washington State University Pullman WA 99164 United States of America Electrical and Computer Engineering The University of Utah Salt Lake City UT 84112 United States of America Lawrence Livermore National Laboratory Livermore CA 94550 United States of America School of Mechanical and Materials Engineering Washington State University Pullman WA 99164 United States of America Department of Physics Washington State University Pullman WA 99164 United States of America

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Epidermal radio frequency electronics for wireless power transfer

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Microsystems & Nanoengineering 2016年第1期2卷 52-60页

作者： Xian Huang Yuhao Liu Gil Woo Kong Jung Hun Seo Yinji Ma Kyung-In Jang Jonathan A.Fan Shimin Mao Qiwen Chen Daizhen Li Hank Liu Chuxuan Wang Dwipayan Patnaik Limei Tian Giovanni A.Salvatore Xue Feng Zhenqiang Ma Yonggang Huang John A.Rogers Department of Biomedical Engineering School of Precision Instrument and Opto-electronics EngineeringTianjin UniversityTianjin 300072China Department of Materials Science and Engineering University of Illinois at Urbana-ChampaignUrbanaIL 61801USA Department of Electrical and Computer Engineering University of Wisconsin-MadisonMadisonWI 53706USA Department of Civil and Environmental Engineering Northwestern UniversityEvanstonIL 60208USA Department of Engineering Mechanics Center for Mechanics and MaterialsTsinghua UniversityBeijing 100084China Department of Mechanical Engineering Northwestern UniversityEvanstonIL 60208USA Department of Robotics Engineering Daegu Gyeongbuk Institute of Science and TechnologyDaegu 42988Republic of Korea Department of Electrical Engineering Stanford UniversityStanfordCA 94305USA

Epidermal electronic systems feature physical properties that approximate those of the skin,to enable intimate,long-lived skin interfaces for physiological measurements,human–machine interfaces and other applications that cannot be addressed by wearable hardware that is commercially available today.A primary challenge is power supply;the physical bulk,large mass and high mechanical modulus associated with conventional battery technologies can hinder efforts to achieve epidermal characteristics,and near-field power transfer schemes offer only a limited operating *** we introduce an epidermal,farfield radio frequency(RF)power harvester built using a modularized collection of ultrathin antennas,rectifiers and voltage *** components,separately fabricated and tested,can be integrated together via methods involving soft contact *** studies of the individual components and the overall performance in various dielectric environments highlight the key operational features of these systems and strategies for their *** results suggest robust capabilities for battery-free RF power,with relevance to many emerging epidermal technologies.

关键词： antenna design epidermal electronics modularization silicon nanomembrane soft-contact lamination specific absorption rate wireless power

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Histopathology image categorization with discriminative dimension reduction of fisher vectors 1

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computer Vision - ECCV 2016 Workshops, Proceedings

作者： Song, Yang Li, Qing Huang, Heng Feng, Dagan Chen, Mei Cai, Weidong BMIT Research Group School of IT University of Sydney Sydney Australia Department of Computer Science and Engineering University of Texas Arlington United States Computer Engineering Department State University of New York Albany United States Robotics Institute Carnegie Mellon University Pittsburgh United States

ISBN: (数字)9783319466040

ISBN: (纸本)9783319466033

In this paper, we present a histopathology image categorization method based on Fisher vector descriptors. While Fisher vector has been broadly successful for general computer vision and recently applied to microscopy image analysis, its feature dimension is very high and this could affect the classification performance especially when there is small amount of training images available. To address this issue, we design a dimension reduction algorithm in a discriminative learning model with similarity and representation constraints. In addition, to obtain the image-level Fisher vectors, we incorporate two types of local descriptors based on the standard texture feature and unsupervised feature learning. We use three publicly available datasets for experiments. Our evaluation shows that our overall approach achieves consistent performance improvement over existing approaches, our proposed discriminative dimension reduction algorithm outperforms the common dimension reduction techniques, and different local descriptors have varying effects on different datasets. © Springer International Publishing Switzerland 2016.

关键词： Vectors

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Embedding internal model in disturbance observer with robust stability

Embedding internal model in disturbance observer with robust...

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作者： Joo, Youngjun Park, Gyunghoon Back, Juhoon Shim, Hyungbo Department of Electrical Engineering and Computer Science University of Central Florida OrlandoFL31816 United States ASRI Department of Electrical and Computer Engineering Seoul National University Seoul151-747 Korea Republic of School of Robotics Kwangwoon University Kwangwoon425-866 Korea Republic of

The disturbance observer has been widely employed in applications due to its powerful ability for disturbance rejection and robustness under plant uncertainties. However, it rejects the disturbance approximately rather than exactly since it is usually designed without considering structural properties of disturbance. In order to improve the disturbance rejection performance, we propose a design method to embed the internal model of disturbance into the disturbance observer structure. Furthermore, a systematic design procedure is proposed so that one can always design the disturbance observer to guarantee robust stability of the closed-loop system even though uncertain parameters of the plant belong to an arbitrarily large (but bounded) set. © 2015 IEEE.

关键词： Disturbance rejection

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Cooperative control of a nonuniform gantry crane with constrained tension

Cooperative control of a nonuniform gantry crane with constr...

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作者： He, Wei Ge, Shuzhi Sam School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Department of Electrical and Computer Engineering National University of Singapore Singapore117576 Singapore Center for Robotics University of Electronic Science and Technology of China Chengdu611731 China

In this paper, the control problem is addressed for a hybrid PDE-ODE system that describes a nonuniform gantry crane system with constrained tension. A bottom payload hangs from the top gantry by connecting a flexible cable. The flexible cable is nonuniform due to the spatiotemporally varying tension applied to the system. The control objectives are: (i) to position the payload to the desired setpoint, (ii) to regulate the transverse deflection of the flexible cable, and (iii) to keep the tension values remaining in the constrained space. Cooperative control laws are proposed and the integral-barrier Lyapunov functions are employed for stability analysis of the closed-loop system. Adaption laws are developed for handling parametric uncertainties. The bounded stability is guaranteed through rigorous analysis without any simplification of the dynamics. In the end, numerical simulations are displayed to illustrate the performance of the proposed cooperative control. © 2016 Elsevier Ltd. All rights reserved.

关键词： Flexible structures

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