检索结果-内蒙古大学图书馆

Designing the Application of Security Text Messages Into Audio Files Using Data Encryption Standard (DES) Algorithms Using the End Of File (EOF) Method

学校读者我要写书评

暂无评论

Journal of Physics: Conference Series 2019年第1期1363卷

作者： A M H Pardede Anggi Pramana Muhammad Zarlis Akbar Iskandar Rosida Tiurma Manurung S Sriadhi Citra Kurniawan Abdurrozzaq Hasibuan Nurintan Asyiah Siregar Ayu Esteka Sari Indrya Mulyaningsih Teguh Hidayat Iskandar Alam Ibrahim Tri Listyorini Edy Winarno Tulus STMIK Kaputama Binjai Sumatera Utara Indonesia Department of Computer Science Universitas Sumatera Utara Medan Indonesia Department of Informatics STMIK AKBA Makassar Indonesia Graduate Program in Scientific Psychology Universitas Kristen Maranatha Indonesia Department of Electrical Engineering Universitas Negeri Medan Indonesia Department of Electrical Engineering Sekolah Tinggi Teknik Malang Indonesia Faculty of Engineering Universitas Islam Sumatera Utara Medan Indonesia Department of Management STIE Labuhanbatu Sumatera Utara Indonesia Department of Management STIE Sakti Alam Kerinci Jambi Indonesia Department of Indonesian Language Teaching Institut Agama Islam Negeri Syekh Nurjati Cirebon Indonesia Department of Informatics Engineering Universitas Muhammadiyah Sorong Sorong Indonesia Department of English Education Universitas Muhammadiyah Sorong Sorong Indonesia Department of Informatics Universitas Muria Kudus Indonesia Faculty of Information Technology Universitas Stikubank Semarang Indonesia Department of Mathematics Universitas Sumatera Utara Medan Indonesia

There are several ways to deal with security issues of confidential data sent via the internet, including using cryptographic techniques and steganography. Steganography is the science and art of concealing information / messages in a media in such a way that its existence is not detected by other parties who are not entitled to the information. Instead, cryptography disguises the meaning of a message, but does not hide that there is a message because the file looks suspicious. The Steganography technique used here was End Of File (EOF). The EOF technique described how to add data or files at the end of the image file. For this technique, the size of data or files that will be hidden could be larger than the size of the image file. The hidden data will be inserted at the end of the file so that it will not affect the image. This steganography application is also equipped with a cryptographic function Data Encryption Standard (DES) at the time of insertion of data that functions as a generator code and encrypts data, so that the security of a data in the file is more protected and protected from those who are not entitled to know the data.

关键词：

Imaging of director fields in liquid crystals using stimulated Raman scattering microscopy

学校读者我要写书评

暂无评论

arXiv 2017年

作者： Lee, Taewoo Mundoor, Haridas Gann, Derek G. Callahan, Timothy J. Smalyukh, Ivan I. Department of Physics Liquid Crystal Materials Research Center University of Colorado BoulderCO80309 United States Department of Electrical Computer and Energy Engineering and Materials Science Engineering Program University of Colorado BoulderCO80309 United States Renewable and Sustainable Energy Institute National Renewable Energy Laboratory University of Colorado BoulderCO80309 United States

We demonstrate an approach for background-free three-dimensional imaging of director fields in liquid crystals using stimulated Raman scattering microscopy. This imaging technique is implemented using a single femtosecond pulsed laser and a photonic crystal fiber, providing Stokes and pump frequencies needed to access Raman shifts of different chemical bonds of molecules and allowing for chemically selective and broadband imaging of both pristine liquid crystals and composite materials. Using examples of model three-dimensional structures of director fields, we show that the described technique is a powerful tool for mapping of long-range molecular orientation patterns in soft matter via polarized chemical-selective imaging. Copyright © 2017, The Authors. All rights reserved.

关键词： Liquid crystals

The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)

学校读者我要写书评

暂无评论

arXiv 2023年

作者： Poldrack, Russell A. Markiewicz, Christopher J. Appelhoff, Stefan Ashar, Yoni K. Auer, Tibor Baillet, Sylvain Bansal, Shashank Beltrachini, Leandro Bénar, Christian G. Bertazzoli, Giacomo Bhogawar, Suyash Blair, Ross W. Bortoletto, Marta Boudreau, Mathieu Brooks, Teon L. Calhoun, Vince D. Castelli, Filippo Maria Clement, Patricia Cohen, Alexander L. Cohen-Adad, Julien D'Ambrosio, Sasha de Hollander, Gilles de la Iglesia-Vayá, María de la Vega, Alejandro Delorme, Arnaud Devinsky, Orrin Draschkow, Dejan Duff, Eugene Paul DuPre, Elizabeth Earl, Eric Esteban, Oscar Feingold, Franklin W. Flandin, Guillaume Galassi, Anthony Gallitto, Giuseppe Ganz, Melanie Gau, Rémi Gholam, James Ghosh, Satrajit S. Giacomel, Alessio Gillman, Ashley G. Gleeson, Padraig Gramfort, Alexandre Guay, Samuel Guidali, Giacomo Halchenko, Yaroslav O. Handwerker, Daniel A. Hardcastle, Nell Herholz, Peer Hermes, Dora Honey, Christopher J. Innis, Robert B. Ioanas, Horea-Ioan Jahn, Andrew Karakuzu, Agah Keator, David B. Kiar, Gregory Kincses, Balint Laird, Angela R. Lau, Jonathan C. Lazari, Alberto Legarreta, Jon Haitz Li, Adam Li, Xiangrui Love, Bradley C. Lu, Hanzhang Maumet, Camille Mazzamuto, Giacomo Meisler, Steven L. Mikkelsen, Mark Mutsaerts, Henk Nichols, Thomas E. Nikolaidis, Aki Nilsonne, Gustav Niso, Guiomar Norgaard, Martin Okell, Thomas W. Oostenveld, Robert Ort, Eduard Park, Patrick J. Pawlik, Mateusz Pernet, Cyril R. Pestilli, Franco Petr, Jan Phillips, Christophe Poline, Jean-Baptiste Pollonini, Luca Raamana, Pradeep Reddy Ritter, Petra Rizzo, Gaia Robbins, Kay A. Rockhill, Alexander P. Rogers, Christine Rokem, Ariel Rorden, Chris Routier, Alexandre Saborit-Torres, Jose Manuel Salo, Taylor Schirner, Michael Smith, Robert E. Spisak, Tamas Sprenger, Julia Swann, Nicole C. Szinte, Martin Takerkart, Sylvain Thirion, Bertrand Thomas, Adam G. Torabian, Sajjad Varoquaux, Gael Voytek, Bradley Welzel, Julius Wilson, Martin Yarkoni, Tal Gorgolewski, Krzysztof J. Department of Psychology Stanford University StanfordCA United States Max Planck Institute for Human Development Berlin Germany University of Colorado Anschutz Medical Campus AuroraCO United States School of Psychology University of Surrey Guildford United Kingdom McConnell Brain Imaging Centre Montréal Neurological Institute McGill University Montréal Canada Department of Bioengineering University of California San Diego La Jolla CA United States School of Physics Astronomy Cardiff University Wales United Kingdom Institut de Neurosciences des Systèmes Marseille France Neurophysiology Lab IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli Brescia Italy Center for Mind/Brain Sciences - CIMeC University of Trento TN Rovereto Italy Brigham and Women’s Hospital BostonMA United States Massachusetts General Hospital BostonMA United States Harvard Medical School BostonMA United States Rackspace Technology San AntonioTX United States NeuroPoly Lab Polytechnique Montréal MontréalQC Canada Georgia State Georgia Tech Emory AtlantaGA United States University of Florence Sesto Fiorentino Italy Bioretics srl Cesena Italy Department of Medical Imaging Ghent University Hospital Ghent Belgium Department of Diagnostic Sciences Ghent University Ghent Belgium Department of Neurology Boston Children's Hospital BostonMA United States Dipartimento di Scienze della Salute dell'Università degli Studi di Milano Milan Italy Department of Clinical and Experimental Epilepsy University College London United Kingdom Zurich Center for Neuroeconomics Department of Economics University of Zurich Zurich Switzerland UMIB-FISABIO Valencia Spain The University of Texas at Austin AustinTX United States SCCN University of California San Diego La Jolla CA United States Department of Neurology NYU Langone Medical Center New YorkNY United States Department of Experimental Psychology University of Oxford Oxford United Kingdom UK Dementia Research Ins

The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is meant as a history of how the standard has developed and grown over time. We outline the principles behind the project, the mechanisms by which it has been extended, and some of the challenges being addressed as it evolves. We also discuss the lessons learned through the project, with the aim of enabling researchers in other domains to learn from the success of BIDS. © 2023, CC BY.

关键词： Data structures

Simulating the transport of heavy oil derivatives in a Brazilian pipeline network

学校读者我要写书评

暂无评论

Simulating the transport of heavy oil derivatives in a Brazi...

IEEE/IAS International Conference on Industry Applications (INDUSCON)

作者： Lucas Bueno Guilherme Schnirmann William Hitoshi Tsunoda Meira Suelen Neves Boschetto Magatão Leandro Magatão Flávio Neves Lúcia Valéria Ramos de Arruda Graduate Program in Electrical and Computer Engineering (CPGEI) Federal University of Technology - Paraná (UTFPR) Curitiba PR Brazil Graduate Program in Electrical and Computer Engineering (CPGEI) Federal University of Technology Brazil

A simulation model for a Brazilian pipeline network used to transport heavy oil derivatives is presented. The network has four refineries, three intermediate depots, a harbor and seven pipelines. The transport is influenced by supply needs and operational constraints. The network schedule is generated online by a simulation model. The objectives are to generate the schedule in accordance with a nondeterministic arrival of ships and to compare this schedule with the one generated by a hybrid approach that combines optimization and simulation techniques. With the simulation-only approach herein proposed, the pipelines are modeled as continuous flow entities. The obtained results allow the validation of different probability distributions for the arrival of ships and they indicate the differences of both approaches: the hybrid and the simulation-only.

关键词： Pipelines Marine vehicles Optimization Schedules Oils Adaptation models Transportation

Optical patterning of magnetic domains and defects in ferromagnetic liquid crystal colloids

学校读者我要写书评

暂无评论

arXiv 2017年

作者： Hess, Andrew J. Liu, Qingkun Smalyukh, Ivan I. Department of Physics University of Colorado BoulderCO80309 United States Materials Science and Engineering Program Department of Electrical Computer and Energy Engineering Liquid Crystal Materials Research Center University of Colorado BoulderCO80309 United States Renewable and Sustainable Energy Institute National Renewable Energy Laboratory University of Colorado BoulderCO80309 United States

A promising approach in designing composite materials with unusual physical behavior combines solid nanostructures and orientationally ordered soft matter at the mesoscale. Such composites not only inherit properties of their constituents but also can exhibit emergent behavior, such as ferromagnetic ordering of colloidal metal nanoparticles forming mesoscopic magnetization domains when dispersed in a nematic liquid crystal. Here we demonstrate the optical patterning of domain structures and topological defects in such ferromagnetic liquid crystal colloids, which allows for altering their response to magnetic fields. Our findings reveal the nature of the defects in this soft matter system which is different as compared to non-polar nematics and ferromagnets alike. Copyright © 2017, The Authors. All rights reserved.

关键词： Ferromagnetic materials

Electric switching of fluorescence decay in gold-silica-dye nematic nanocolloids mediated by surface plasmons

学校读者我要写书评

暂无评论

arXiv 2017年

作者： Jiang, Li Mundoor, Haridas Liu, Qingkun Smalyukh, Ivan I. Department of Physics and Soft Materials Research Center University of Colorado BoulderCO80309 United States Department of Electrical Computer and Energy Engineering Materials Science and Engineering Program University of Colorado BoulderCO80309 United States Renewable and Sustainable Energy Institute National Renewable Energy Laboratory University of Colorado BoulderCO80309 United States

Tunable composite materials with interesting physical behavior can be designed through integrating unique optical properties of solid nanostructures with the facile responses of soft matter to weak external stimuli, but this approach remains challenged by their poorly controlled co-assembly at the mesoscale. Using scalable wet chemical synthesis procedures, we fabricated anisotropic gold-silica-dye colloidal nanostructures and then organized them into the device-scale (demonstrated for square inch cells) electrically tunable composites by simultaneously invoking molecular and colloidal self-assembly. We show that the ensuing ordered colloidal dispersions of shape-anisotropic nanostructures exhibit tunable fluorescence decay rates and intensity. We characterize how these properties depend on low-voltage fields and polarization of both the excitation and emission light, demonstrating a great potential for the practical realization of an interesting breed of nanostructured composite materials. Copyright © 2017, The Authors. All rights reserved.

关键词： Self assembly

Liquid crystal self-assembly of upconversion nanorods enriched by depletion forces for mesostructured material preparation

学校读者我要写书评

暂无评论

arXiv 2017年

作者： Xie, Yong Li, Yuanyuan Wei, Guoqing Liu, Qingkun Mundoor, Haridas Chen, Ziyu Smalyukh, Ivan I. Department of Physics Material Science and Engineering Program Department of Electrical Computer& Energy Engineering Liquid Crystal Materials Research Center University of Colorado BoulderCO80309 United States Department of Physics Beihang University Beijing100191 China National Renewable Energy Laboratory and University of Colorado Renewable and Sustainable Energy Institute BoulderCO80309 United States

Monodisperse rod-like colloidal particles are known for spontaneously forming both nematic and smectic liquid crystal phases, but their self-assembly was typically exploited from the fundamental soft condensed matter physics perspective. Here we demonstrate that depletion interactions, driven by non-adsorbing polymers like dextran and surfactants, can be used to enrich self-organization of photon-upconversion nanorods into orientationally ordered nematic and smectic-like membrane colloidal superstructures. We study thermodynamic phase diagrams and demonstrate polarization-dependent photon upconversion exhibited by the ensuing composites, which arises from the superposition of unique properties of the solid nanostructures and the long-range ordering enabled by liquid crystalline self-organization. Finally, we discuss how our method of utilizing self-assembly due to the steric and electrostatic interactions, along with attractive depletion forces, can enable technological uses of lyotropic colloidal liquid crystals and mesostructured composite materials enabled by them, even when they are formed by anisotropic nanoparticles with relatively small aspect ratios. Copyright © 2017, The Authors. All rights reserved.

关键词： Nanorods

Anisotropic spin-orbit torque generation in epitaxial SrIrO3 by symmetry design

学校读者我要写书评

暂无评论

arXiv 2018年

作者： Nan, T. Anderson, T.J. Gibbons, J. Hwang, K. Campbell, N. Zhou, H. Dong, Y.Q. Kim, G.Y. Reynolds, N. Wang, X.J. Sun, N.X. Choi, S.Y. Rzchowski, M.S. Kim, Yong Baek Ralph, D.C. Eom, C.B. Department of Materials Science and Engineering University of Wisconsin-Madison MadisonWI53706 United States Laboratory of Atomic and Solid State Physics Cornell University IthacaNY14853 United States Department of Physics and Centre for Quantum Materials University of Toronto TorontoONM5S 1A7 Canada Department of Physics University of Wisconsin-Madison MadisonWI53706 United States Advanced Photon Source Argonne National Laboratory ArgonneIL60439 United States Department of Materials Science and Engineering POSTECH Pohang37673 Korea Republic of Department of Electrical and Computer Engineering Northeastern University BostonMA02115 United States Canadian Institute for Advanced Research/Quantum Materials Program TorontoONM5G 1Z8 Canada School of Physics Korea Institute for Advanced Study Seoul130-722 Korea Republic of Kavli Institute at Cornell for Nanoscale Science IthacaNY14853 United States

Spin-orbit coupling (SOC), the interaction between the electron spin and the orbital angular momentum, can unlock rich phenomena at interfaces, in particular interconverting spin and charge currents. Conventional heavy metals have been extensively explored due to their strong SOC of conduction electrons. However, spin-orbit effects in classes of materials such as epitaxial 5d-electron transition metal complex oxides, which also host strong SOC, remain largely unreported. In addition to strong SOC, these complex oxides can also provide the additional tuning knob of epitaxy to control the electronic structure and the engineering of spin-to-charge conversion by crystalline symmetry. Here, we demonstrate room-temperature generation of spin-orbit torque on a ferromagnet with extremely high efficiency via the spin-Hall effect in epitaxial metastable perovskite SrIrO3. We first predict a large intrinsic spin-Hall conductivity in orthorhombic bulk SrIrO3 arising from the Berry curvature in the electronic band structure. By manipulating the intricate interplay between SOC and crystalline symmetry, we control the spin-Hall torque ratio by engineering the tilt of the corner-sharing oxygen octahedra in perovskite SrIrO3 through epitaxial strain. This allows the presence of an anisotropic spin-Hall effect due to a characteristic structural anisotropy in SrIrO3 with orthorhombic symmetry. Our experimental findings demonstrate the heteroepitaxial symmetry design approach to engineer spin-orbit effects. We therefore anticipate that these epitaxial 5d transition-metal oxide thin films can be an ideal building block for low-power spintronics. Copyright © 2018, The Authors. All rights reserved.

关键词： Magnetic moments

Gyro-aided Visual Tracking Using Iterative Earth Mover's Distance

学校读者我要写书评

暂无评论

Gyro-aided Visual Tracking Using Iterative Earth Mover's Dis...

International Conference on Information Fusion

作者： Gang Yao Michael Williams Ashwin Dani Department of Electrical and Computer Engineering University of Connecticut Storrs USA Department of Electrical and Computer Engineering Management and Engineering for Manufacturing Program University of Connecticut Storrs USA

ISBN: (纸本)9781509020126

An efficient gyro-aided iterative Earth Mover's Distance (iEMD) algorithm for visual tracking is proposed in this paper. The Earth Mover's Distance (EMD) is used as the similarity measure to search the optimal template candidates in color-spatial space in a video sequence. The computation of the EMD is formulated as the transportation problem from linear programming. The efficiency of this optimization problem limits its use for visual tracking. To efficiently track a target, a monotonically convergent iterative optimization algorithm is developed. Based on the current location of the template candidate, the EMD is calculated and reformulated as the function of the weights of the template candidate. Then the derivative of the EMD with respect to the template displacement is calculated to search for the new position of the target. The iEMD tracking algorithm assumes small inter-frame movement in order to guarantee convergence. When the camera is mounted on a moving robot, e.g., a flying quadcopter, the camera could experience sudden and rapid motion leading to large inter-frame movements. In order to ensure that the tracking algorithm converges, synchronized gyroscope information is utilized to compensate for the rotation of the camera. Three publicly available datasets are used to validate the proposed algorithm. This algorithm is compared with the Mutual Information tracker and the kernel-based Mean-shift tracker by tracking an object undergoing severe illumination changes. The iEMD algorithm outperforms the others in terms of accuracy. The robustness of this algorithm to the ego-motion of the camera is also illustrated.

关键词： Target tracking Cameras Visualization Gyroscopes Optimization Robustness