Journal articles: 'Super computers'

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Hodson, Hal. "Super-literate computers." New Scientist 228, no. 3051 (December 2015): 22. http://dx.doi.org/10.1016/s0262-4079(15)31751-6.

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RABER, LINDA. "Academics get to use really super computers." Chemical & Engineering News 75, no. 32 (August 11, 1997): 11. http://dx.doi.org/10.1021/cen-v075n032.p011.

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Guan, Shi Jie, and Xin Na Zheng. "The Development Trends of the Computer-Nanocomputer Based on Nanotechnology and Properties of Nanomaterials." Advanced Materials Research 788 (September 2013): 77–80. http://dx.doi.org/10.4028/www.scientific.net/amr.788.77.

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This paper is aim to introduce the research background and the significance of the computer . then forecast the computer development tends to super rapid, subminiature, parallel processing and intellectualization. Finally , the conclusion is reached that these new-type computers will produce deep impact on human societys development.

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Delgado, Ana, Silvio Funtowicz, and Dorothy Dankel. "Super-Computers, Evolution and the Fabrication of Life." International Journal of Social Ecology and Sustainable Development 3, no. 2 (April 2012): 11–24. http://dx.doi.org/10.4018/jsesd.2012040102.

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As biology moves into the digital realm, new ways of representing, manipulating, and appropriating life are emerging. In this paper, the authors examine systems and synthetic biology and map imaginaries of the making of life. The authors present how they have worked with scientists in three different laboratories in Europe and the U.S. by exploring those imaginaries with them. Focusing on scientific images, methods, and scientific traditions through a number of dialogic sessions, three imaginaries became apparent: living systems as networks, life as building blocks, and living systems as circuits. By working in this way, the authors could explore how scientists imagine their relations with nature (i.e., in terms of ownership) and their role as scientist. Exploring imaginaries of the making of life can open plural and broadly oriented and normative debates on nature, society, technology, and their relations. This kind of dynamic, interactive, and reflexive societal talk is, from the authors’ point of view, a central condition for possible sustainable futures.

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Ruban, Igor, Vitalii Martovytskyi, and Nataliia Lukova-Chuiko. "Designing a monitoring model for cluster super–computers." Eastern-European Journal of Enterprise Technologies 6, no. 2 (84) (December 14, 2016): 32–37. http://dx.doi.org/10.15587/1729-4061.2016.85433.

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Johnstone, Bill. "Parallel computers: GE aims at super-array contract." Nature 318, no. 6045 (December 1985): 403. http://dx.doi.org/10.1038/318403b0.

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Pinto, Carla M. A., and J. A. Tenreiro Machado. "Fractional Dynamics of Computer Virus Propagation." Mathematical Problems in Engineering 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/476502.

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We propose a fractional model for computer virus propagation. The model includes the interaction between computers and removable devices. We simulate numerically the model for distinct values of the order of the fractional derivative and for two sets of initial conditions adopted in the literature. We conclude that fractional order systems reveal richer dynamics than the classical integer order counterpart. Therefore, fractional dynamics leads to time responses with super-fast transients and super-slow evolutions towards the steady-state, effects not easily captured by the integer order models.

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Ingber, Lester. "Hybrid classical-quantum computing: Applications to statistical mechanics of financial markets." E3S Web of Conferences 307 (2021): 04001. http://dx.doi.org/10.1051/e3sconf/202130704001.

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Hybrid Classical-Quantum computing is now offered by several commercial quantum computers. In this project, a model of financial options, Statistical Mechanics of Financial Markets (SMFM), uses this approach. However, only Classical (super-)computers are used to include the quantum features of these models. Since 1989, Adaptive Simulated Annealing (ASA), an optimization code using importance-sampling, has fit parameters in such models. Since 2015, PATHINT, a path-integral numerical agorithm, has been used to describe several systems in several disciplines. PATHINT has been generalized from 1 dimension to N dimensions, and from classical to quantum systems into qPATHINT. Published papers have described the use of qPATHINT to neocortical interactions and financial options. The classical space modeled by SMFM fits parameters in conditional short-time probability distributions of nonlinear nonequilibrium multivariate statistical mechanics, while the quantum space modeled by qPATHINT describes quantum money. This project demonstrates how some hybrid classical-quantum systems may be calculated using only classical (super-)computers.

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ROSENBERG, ARNOLD L., and RON C. CHIANG. "HETEROGENEITY IN COMPUTING: INSIGHTS FROM A WORKSHARING SCHEDULING PROBLEM." International Journal of Foundations of Computer Science 22, no. 06 (September 2011): 1471–93. http://dx.doi.org/10.1142/s0129054111008829.

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Heterogeneity complicates the use of multicomputer platforms. Can it also enhance their performance? How can one measure the power of a heterogeneous assemblage of computers ("cluster"), in absolute terms (how powerful is this cluster) and relative terms (which cluster is more powerful)? Is a cluster that has one super-fast computer and the rest of "average" speed more/less powerful than one all of whose computers are "moderately" fast? If you can replace just one computer in a cluster with a faster one, should you replace the fastest? the slowest? A result concerning "worksharing" in heterogeneous clusters provides a highly idealized, yet algorithmically meaningful, framework for studying such questions in a way that admits rigorous analysis and formal proof. We encounter some surprises as we answer the preceding questions (perforce, within the idealized framework). Highlights: (1) If one can replace only one computer in a cluster by a faster one, it is (almost) always most advantageous to replace the fastest one. (2) If the computers in two clusters have the same mean speed, then the cluster with the larger variance in speed is (almost) always more productive (verified analytically for small clusters and empirically for large ones.) (3) Heterogeneity can actually enhance a cluster's computing power.

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FRENKEL, D. "Fast Algorithms for Slow Processes in Lattice-Gas Cellular Automata." International Journal of Modern Physics C 02, no. 01 (March 1991): 66–74. http://dx.doi.org/10.1142/s0129183191000081.

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The accurate numerical study of long-time tails in time-correlation functions requires large amounts of computer time. In some cases, the necessary calculations are too time-consuming to be carried out even on present-day (super)computers. However, if we consider ‘lattice-gas’ versions of the same problems, then it turns out that for certain problems, a speed-up of 6–10 orders of magnitude can be achieved using a very simple algorithm. As a result, we can now test theoretical (mode-coupling) predictions for long-time tails with unprecedented accuracy.

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Zhang, Ke, Cankun Yang, Xiaojuan Li, Chunping Zhou, and Ruofei Zhong. "High-Efficiency Microsatellite-Using Super-Resolution Algorithm Based on the Multi-Modality Super-CMOS Sensor." Sensors 20, no. 14 (July 20, 2020): 4019. http://dx.doi.org/10.3390/s20144019.

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To realize the application of super-resolution technology from theory to practice, and to improve microsatellite spatial resolution, we propose a special super-resolution algorithm based on the multi-modality super-CMOS sensor which can adapt to the limited operation capacity of microsatellite computers. First, we designed an oblique sampling mode with the sensor rotated at an angle of 26.56 ∘ ( arctan 1 2 ) to obtain high overlap ratio images with sub-pixel displacement. Secondly, the proposed super-resolution algorithm was applied to reconstruct the final high-resolution image. Because the satellite equipped with this sensor is scheduled to be launched this year, we also designed the simulation mode of conventional sampling and the oblique sampling of the sensor to obtain the comparison and experimental data. Lastly, we evaluated the super-resolution quality of images, the effectiveness, the practicality, and the efficiency of the algorithm. The results of the experiments showed that the satellite-using super-resolution algorithm combined with multi-modality super-CMOS sensor oblique-mode sampling can increase the spatial resolution of an image by about 2 times. The algorithm is simple and highly efficient, and can realize the super-resolution reconstruction of two remote-sensing images within 0.713 s, which has good performance on the microsatellite.

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Ting-Ting, Ren, Luo Jun, Sun Xian-Ping, and Zhan Ming-Sheng. "Preservation of quantum states via a super-Zeno effect on ensemble quantum computers." Chinese Physics B 18, no. 11 (November 2009): 4711–15. http://dx.doi.org/10.1088/1674-1056/18/11/017.

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SHIOYA, Ryuji, and Masao OGINO. "F5-2 A Large Scale Analysis of Pressure Vessel Model using Super Computers." Proceedings of The Computational Mechanics Conference 2008.21 (2008): 49–50. http://dx.doi.org/10.1299/jsmecmd.2008.21.49.

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ETIENNE, F. "The Impact of Modern Graphics Tools on Science, and their Limitations." International Journal of Modern Physics C 02, no. 01 (March 1991): 58–65. http://dx.doi.org/10.1142/s012918319100007x.

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Within the last few years the range of scientific applications for which computer graphics is used has become extremely large. However, not all scientists require the same level of computing power. Until recently the software interface to graphics display systems has been provided by the manufacturers of the hardware. This generated interest in the possibility of using graphics standards. Another important issue is related to the deluge of data generated by super-computers and high-volume data sources which make it impossible for users to have an overall knowledge of either the data structures or the application programs. Partial solutions can be found in emerging products providing an interactive computational environment for scientific visualization. Some of the characteristics required for graphics hardware are presented. From a hardware perspective, graphics computing involves the use of a graphical computer system with sufficient power and functionality that the user can manipulate and interact with displayed objects. To achieve such a level of performance computers are usually designed as networked workstations with access to local graphics capabilities. Finally, it is made clear that the main computer graphics applications are scientific activities. From high energy physics experiments with wireframe event displays up to medical imaging with interactive volume rendering, scientific visualization is not simply displaying data from data intensive sources. Fields of computer graphics like image processing, computer aided design, signal processing and user interfaces provide tools helping researchers to understand and steer scientific computation.

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Weng, Juyang. "Autonomous Programming for General Purposes: Theory." International Journal of Humanoid Robotics 17, no. 04 (August 2020): 2050016. http://dx.doi.org/10.1142/s0219843620500164.

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The universal Turing Machine (TM) is a model for Von Neumann computers — general-purpose computers. A human brain, linked with its biological body, can inside-skull-autonomously learn a universal TM so that he acts as a general-purpose computer and writes a computer program for any practical purposes. It is unknown whether a robot can accomplish the same. This theoretical work shows how the Developmental Network (DN), linked with its robot body, can accomplish this. Unlike a traditional TM, the TM learned by DN is a super TM — Grounded, Emergent, Natural, Incremental, Skulled, Attentive, Motivated, and Abstractive (GENISAMA). A DN is free of any central controller (e.g., Master Map, convolution, or error back-propagation). Its learning from a teacher TM is one transition observation at a time, immediate, and error-free until all its neurons have been initialized by early observed teacher transitions. From that point on, the DN is no longer error-free but is always optimal at every time instance in the sense of maximal likelihood, conditioned on its limited computational resources and the learning experience. This paper extends the Church–Turing thesis to a stronger version — a GENISAMA TM is capable of Autonomous Programming for General Purposes (APFGP) — and proves both the Church–Turing thesis and its stronger version.

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NIU, YANG-YAO, and SHOU-CHENG TCHENG. "COMPUTATIONS OF PULSATILE AORTIC BLOOD FLOW PROBLEMS ON PARALLEL COMPUTERS." Biomedical Engineering: Applications, Basis and Communications 15, no. 03 (June 25, 2003): 109–14. http://dx.doi.org/10.4015/s1016237203000171.

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In this study, a parallel computing technology is applied on the simulation of aortic blood flow problems. A third-order upwind flux extrapolation with a dual-time integration method based on artificial compressibility solver is used to solve the Navier-Stokes equations. The original FORTRAN code is converted to the MPI code and tested on a 64-CPU IBM SP2 parallel computer and a 32-node PC Cluster. The test results show that a significant reduction of computing time in running the model and a super-linear speed up rate is achieved up to 32 CPUs at PC cluster. The speed up rate is as high as 49 for using IBM SP2 64 processors. The test shows very promising potential of parallel processing to provide prompt simulation of the current aortic flow problems.

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TOUYAMA, TAKAYOSHI, and SUSUMU HORIGUCHI. "PERFORMANCE EVALUATION OF PRACTICAL PARALLEL COMPUTER MODEL LogPQ." International Journal of Foundations of Computer Science 12, no. 03 (June 2001): 325–40. http://dx.doi.org/10.1142/s0129054101000515.

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The present super computer will be replaced by a massively parallel computer consisting of a large number of processing elements which satisfy the continuous increasing depend for computing power. Practical parallel computing model has been expected to develop efficient parallel algorithms on massively parallel computers. Thus, we have presented a practical parallel computation model LogPQ by taking account of communication queues into the LogP model. This paper addresses the performance of a parallel matrix multiplication algorithm using LogPQ and LogP models. The parallel algorithm is implemented on Cray T3E and the parallel performances are compared with on the old machine CM-5. This shows that the communication network of T3E has superior buffering behavior than CM-5, in which we don't need to prepare extra buffering on T3E. Although, a little effect remains for both of the send and receive bufferings. On the other hand, the effect of message size remains, which shows the necessity of the overhead and gap proportional to the message size.

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Fan, Gary. "Simulation and information assessment of TEM and STEM images." Proceedings, annual meeting, Electron Microscopy Society of America 45 (August 1987): 70–73. http://dx.doi.org/10.1017/s0424820100125348.

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Small and moderate digital systems, especially those with computer-microscope interface capabilities and possibly equipped with image frame stores, are being commonly employed in electron microscopy laboratories. The complexity of such systems varies greatly, ranging from those composed of simply a personal computer with minimum interfacing hardwares such as digital to analog converters(DACs) and pulse counters (or ADCs), compact enough to be fitted into a small cart and transported from room to room, to those consisting of image processing systems controlled by mini- or super mini-computers with system-bus interface for massive data transfer, array processors for fast online data handling. Be it simple or complex, such a system allows signals from various sources to be collected and stored in digital form for on-line or off-line manipulation. Fig.1 is a highly schematic diagram of the system currently working in ASU HREM laboratory, on which this work was done.

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Zhang, Xiaoyan. "Research on Modeling of Vocal State Duration Based on Spectrogram Analysis." E3S Web of Conferences 236 (2021): 04043. http://dx.doi.org/10.1051/e3sconf/202123604043.

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In the early stage of vocal music education, students generally do not understand the structure of the human body, and have doubts about how to pronounce their voices scientifically. However, with the continuous development of computers, computer technology has become more and more developed, and computer processing speed has been greatly increased, which provides favorable conditions for the development of the application of vocal spectrum analysis technology in vocal music teaching. In this paper, we first study the GMM-SVM and DBN, and combine them to extract the deep Gaussian super vector DGS, and further construct the feature DGCS on the basis of DGS; then we study the convolutional neural network (CNN), which has achieved great success in the image recognition task in recent years, and design a CNN model to extract the deep fusion features of vocal music. The experimental simulations show that the CNN fusion-based speaker recognition system achieves very good results in terms of recognition rate.

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Senobari, Nader Shakibay, Gareth J. Funning, Eamonn Keogh, Yan Zhu, Chin‐Chia Michael Yeh, Zachary Zimmerman, and Abdullah Mueen. "Super‐Efficient Cross‐Correlation (SEC‐C): A Fast Matched Filtering Code Suitable for Desktop Computers." Seismological Research Letters 90, no. 1 (November 7, 2018): 322–34. http://dx.doi.org/10.1785/0220180122.

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Kalao, M. A., and G. Petrie. "TESTING RUSSAR SUPER-WIDE ANGLE PHOTOGRAPHY." Photogrammetric Record 8, no. 45 (August 26, 2006): 263–86. http://dx.doi.org/10.1111/j.1477-9730.1975.tb00055.x.

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Ali, Mohammed. "The Human Intelligence vs. Artificial Intelligence: Issues and Challenges in Computer Assisted Language Learning." International Journal of English Linguistics 8, no. 5 (June 21, 2018): 259. http://dx.doi.org/10.5539/ijel.v8n5p259.

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In this study, the researcher has advocated the importance of human intelligence in language learning since software or any Learning Management System (LMS) cannot be programmed to understand the human context as well as all the linguistic structures contextually. This study examined the extent to which language learning is perilous to machine learning and its programs such as Artificial Intelligence (AI), Pattern Recognition, and Image Analysis used in much assistive learning techniques such as voice detection, face detection and recognition, personalized assistants, besides language learning programs. The researchers argue that language learning is closely associated with human intelligence, human neural networks and no computers or software can claim to replace or replicate those functions of human brain. This study thus posed a challenge to natural language processing (NLP) techniques that claimed having taught a computer how to understand the way humans learn, to understand text without any clue or calculation, to realize the ambiguity in human languages in terms of the juxtaposition between the context and the meaning, and also to automate the language learning process between computers and humans. The study cites evidence of deficiencies in such machine learning software and gadgets to prove that in spite of all technological advancements there remain areas of human brain and human intelligence where a computer or its software cannot enter. These deficiencies highlight the limitations of AI and super intelligence systems of machines to prove that human intelligence would always remain superior.

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Boucher, Alexandre, and Phaedon C. Kyriakidis. "Super-resolution land cover mapping with indicator geostatistics." Remote Sensing of Environment 104, no. 3 (October 2006): 264–82. http://dx.doi.org/10.1016/j.rse.2006.04.020.

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Li, Xuesong, Youqiang Zhang, Zixian Ge, Guo Cao, Hao Shi, and Peng Fu. "Adaptive Nonnegative Sparse Representation for Hyperspectral Image Super-Resolution." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14 (2021): 4267–83. http://dx.doi.org/10.1109/jstars.2021.3072044.

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Zhang, Xining, Yong Ge, Feng Ling, Jin Chen, Yuehong Chen, and Yuanxin Jia. "Graph Convolutional Networks-Based Super-Resolution Land Cover Mapping." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14 (2021): 7667–81. http://dx.doi.org/10.1109/jstars.2021.3100400.

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Faulkner, D. J. "The Role of Supercomputers in Astronomical Modelling." Publications of the Astronomical Society of Australia 8, no. 04 (1990): 319–26. http://dx.doi.org/10.1017/s132335800002364x.

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Abstract Advances in digital computer technology since the middle decades of the twentieth century have transformed many subject areas in astrophysics. Topics which had previously been dealt with by analytic approximations (usually to a very limited number of special cases) suddenly became amenable to detailed numerical modelling for all cases. Frequently, insights derived from this modelling ran ahead of other techniques in predicting physical phenomena before they were either observed or discerned in purely analytic treatments. It has sometimes been said that the second half of this century has seen the advent of a totally new modus operandi in scientific research, which ranks alongside the two traditional approaches–experimentation and theory. The most powerful computers now available have greatly accelerated these developments. They employ simultaneous computational techniques (either vector processing or parallel processing, or both), and their throughput is so large that, for most problems, the only way in which the human mind can fully appreciate the scientific content of the numerical results being calculated is by transforming those results into pictorial representations. This paper draws on my experience as Academic Director of the ANU Supercomputer Facility during the first eighteen months of its operation, to describe the place which I believe super-computers will occupy in the development of astrophysics during the 1990s and into the next century.

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Astuti, Windi. "Implementasi Metode Super Resolusi Untuk Meningkatkan Kualitas Citra Hasil Screenshot." JURIKOM (Jurnal Riset Komputer) 7, no. 3 (June 14, 2020): 432. http://dx.doi.org/10.30865/jurikom.v7i3.2129.

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Various types of image processing that can be done by computers, such as improving image quality is one of the fields that is quite popular until now. Improving the quality of an image is necessary so that someone can observe the image clearly and in detail without any disturbance. An image can experience major disturbances or errors in an image such as the image of the screenshot is used as a sample. The results of the image from the screenshot have the smallest sharpness and smoothness of the image, so to get a better image is usually done enlargement of the image. After the screenshot results are obtained then, the next process is cropping the image and the image looks like there are disturbances such as visible blur and cracked. To get an enlarged image (Zooming image) by adding new pixels or points. This is done by the super resolution method, super resolution has three stages of completion, first Registration, Interpolation, and Reconstruction. For magnification done by linear interpolation and reconstruction using a median filter for image refinement. This method is expected to be able to solve the problem of improving image quality in image enlargement applications. This study discusses that the process carried out to implement image enlargement based on the super resolution method is then built by using R2013a matlab as an editor to edit programs

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Mollamotalebi, M., R. Maghami, and A. S. Ismail. "A Weight-based Query Forwarding Technique for Super-peer-based Grid Resource Discovery." Engineering, Technology & Applied Science Research 7, no. 1 (February 12, 2017): 1398–404. http://dx.doi.org/10.48084/etasr.952.

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Grid computing environments include heterogeneous resources shared by a large number of computers to handle data and process intensive applications. The required resources must be accessible for the grid applications on demand, which makes resource discovery a critical service. In recent years, different techniques are provided to index and discover grid resources. Response time and message load during the search process highly affect the efficiency of resource discovery. This paper proposes a technique to forward the queries based on the resource types accessible through each neighbor in super-peer-based grid resource discovery approaches. The proposed technique is simulated in GridSim and the experimental results indicated that it is able to reduce the response time and message load during the search process especially when the grid environment contains a large number of nodes.

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Fernandez, Rafael, Ruben Fernandez-Beltran, Jian Kang, and Filiberto Pla. "Sentinel-3 Super-Resolution Based on Dense Multireceptive Channel Attention." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14 (2021): 7359–72. http://dx.doi.org/10.1109/jstars.2021.3097410.

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Hoch, P. "The new technology — a survival guide to new materials, super-computers and global communications for the 1990s." Endeavour 15, no. 1 (January 1991): 34. http://dx.doi.org/10.1016/0160-9327(91)90090-x.

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Xiao, Yanjia, Xiaobin Ji, Beijiang Liu, and Xi’an Xiong. "Partial wave analysis with OpenAcc." EPJ Web of Conferences 245 (2020): 06040. http://dx.doi.org/10.1051/epjconf/202024506040.

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Partial wave analysis(PWA) is an important tool in hadron physics. Large data sets from the experiments in high precision frontier require high computational power. To utilize GPU cluster and the resource of super computers with various types of accelerator, we implement a software framework for partial wave analysis using OpenAcc, OpenAccPWA. OpenAccPWA provides convenient approaches for exposing parallelism in the code and excellent support for the large amount of existing CPU-based codes of partial wave amplitudes. It can avoid heavy workload of code migration from CPU to GPU. This proceeding will briefly introduce the software framework and performance of OpenAccPWA.

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Zhang, Yongjun, Zhi Zheng, Yimin Luo, Yanfeng Zhang, Jun Wu, and Zhiyong Peng. "A CNN-Based Subpixel Level DSM Generation Approach via Single Image Super-Resolution." Photogrammetric Engineering & Remote Sensing 85, no. 10 (October 1, 2019): 765–75. http://dx.doi.org/10.14358/pers.85.10.765.

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Previous work for subpixel level Digital Surface Model (DSM) generation mainly focused on data fusion techniques, which are extremely limited by the difficulty of multisource data acquisition. Although several DSM super resolution (SR) methods have been developed to ease the problem, a new issue that plenty of DSM samples are needed to train the model is raised. Therefore, considering the original images have vital influence on its DSM's accuracy, we address the problem by directly improving images resolution. Several SR models are refined and brought into the traditional DSM generation process as an image quality improvement stage to construct an easy but effective workflow for subpixel level DSM generation. Experiments verified the validity and significance of bringing SR technology into this kind of application. Statistical analysis also confirmed that a subpixel level DSM with higher fidelity can be obtained more easily compared to directly DSM interpolation.

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Hellweger, Ferdi L. "Spatially explicit individual-based modeling using a fixed super-individual density." Computers & Geosciences 34, no. 2 (February 2008): 144–52. http://dx.doi.org/10.1016/j.cageo.2006.12.006.

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Kanakaraj, Sithara, Madhu S. Nair, and Saidalavi Kalady. "Adaptive Importance Sampling Unscented Kalman Filter based SAR image super resolution." Computers & Geosciences 133 (December 2019): 104310. http://dx.doi.org/10.1016/j.cageo.2019.104310.

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Fu, Ying, Zhiyuan Liang, and Shaodi You. "Bidirectional 3D Quasi-Recurrent Neural Network for Hyperspectral Image Super-Resolution." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14 (2021): 2674–88. http://dx.doi.org/10.1109/jstars.2021.3057936.

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Hastings, Matthew B. "Classical and Quantum Algorithms for Tensor Principal Component Analysis." Quantum 4 (February 27, 2020): 237. http://dx.doi.org/10.22331/q-2020-02-27-237.

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We present classical and quantum algorithms based on spectral methods for a problem in tensor principal component analysis. The quantum algorithm achieves a quartic speedup while using exponentially smaller space than the fastest classical spectral algorithm, and a super-polynomial speedup over classical algorithms that use only polynomial space. The classical algorithms that we present are related to, but slightly different from those presented recently in Ref. \cite{wein2019kikuchi}. In particular, we have an improved threshold for recovery and the algorithms we present work for both even and odd order tensors. These results suggest that large-scale inference problems are a promising future application for quantum computers.

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Chen, Wei, Wenbin Shen, and Jiancheng Han. "The gravity field variation caused by inner core super rotation." Geo-spatial Information Science 11, no. 4 (January 2008): 283–88. http://dx.doi.org/10.1007/s11806-008-0126-4.

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Ping, Bo, Fenzhen Su, Xingxing Han, and Yunshan Meng. "Applications of Deep Learning-Based Super-Resolution for Sea Surface Temperature Reconstruction." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14 (2021): 887–96. http://dx.doi.org/10.1109/jstars.2020.3042242.

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Shao, Zhenfeng, Lei Wang, Zhongyuan Wang, and Juan Deng. "Remote Sensing Image Super-Resolution Using Sparse Representation and Coupled Sparse Autoencoder." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12, no. 8 (August 2019): 2663–74. http://dx.doi.org/10.1109/jstars.2019.2925456.

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Wang, Yukai, Qizhi Teng, Xiaohai He, Junxi Feng, and Tingrong Zhang. "CT-image of rock samples super resolution using 3D convolutional neural network." Computers & Geosciences 133 (December 2019): 104314. http://dx.doi.org/10.1016/j.cageo.2019.104314.

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Wang, Jun, Daniel G. Brown, and Dorit Hammerling. "Geostatistical inverse modeling for super-resolution mapping of continuous spatial processes." Remote Sensing of Environment 139 (December 2013): 205–15. http://dx.doi.org/10.1016/j.rse.2013.08.007.

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Tatem, A. "Super-resolution land cover pattern prediction using a Hopfield neural network." Remote Sensing of Environment 79, no. 1 (January 2002): 1–14. http://dx.doi.org/10.1016/s0034-4257(01)00229-2.

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Eden, J. A. "SUPER-WIDE ANGLE PHOTOGRAPHY AND ITS APPLICATION WITH VARIOUS TECHNIQUES." Photogrammetric Record 5, no. 27 (August 26, 2006): 150–69. http://dx.doi.org/10.1111/j.1477-9730.1966.tb00865.x.

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KASETKASEM, T., M. ARORA, and P. VARSHNEY. "Super-resolution land cover mapping using a Markov random field based approach." Remote Sensing of Environment 96, no. 3-4 (June 30, 2005): 302–14. http://dx.doi.org/10.1016/j.rse.2005.02.006.

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Anbazhagan, N., and B. Vigneshwaran. "Two-Commodity Markovian Inventory System with Set of Reorders." International Journal of Information Systems and Supply Chain Management 3, no. 2 (April 2010): 52–67. http://dx.doi.org/10.4018/jisscm.2010040103.

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Abstract:

This article examines a two commodity substitutable inventory system—two different brands of super computers under continuous review. The demand points for each commodity are assumed to form independent Poisson processes. The reordering policy is to place orders for both the commodities when the total net inventory level drops to any one of the prefixed levels with prescribed probability distribution. Lost sales are assumed during the stock out period. The lead time for a reorder is exponentially distributed with parameter(, depending on the size of the ordering quantity. The limiting probability distribution for the joint inventory levels is also evaluated. Various operational characteristics and total expected cost rate are derived. Numerical examples are provided to find optimal reorder quantity and band width .

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Gou, Shuiping, Shuzhen Liu, Shuyuan Yang, and Licheng Jiao. "Remote Sensing Image Super-Resolution Reconstruction Based on Nonlocal Pairwise Dictionaries and Double Regularization." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7, no. 12 (December 2014): 4784–92. http://dx.doi.org/10.1109/jstars.2014.2328596.

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Wang, Liguo, Peng Wang, and Chunhui Zhao. "Producing Subpixel Resolution Thematic Map From Coarse Imagery: MAP Algorithm-Based Super-Resolution Recovery." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9, no. 6 (June 2016): 2290–304. http://dx.doi.org/10.1109/jstars.2016.2552224.

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Wang, Peng, Mauro Dalla Mura, Jocelyn Chanussot, and Gong Zhang. "Soft-Then-Hard Super-Resolution Mapping Based on Pansharpening Technique for Remote Sensing Image." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12, no. 1 (January 2019): 334–44. http://dx.doi.org/10.1109/jstars.2018.2885793.

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Ma, Xiaofeng, Youtang Hong, Yongze Song, and Yujia Chen. "A Super-Resolution Convolutional-Neural-Network-Based Approach for Subpixel Mapping of Hyperspectral Images." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12, no. 12 (December 2019): 4930–39. http://dx.doi.org/10.1109/jstars.2019.2941089.

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Wang, Xuan-Qi, and Teng-Yu Ji. "NSTMR: Super Resolution of Sentinel-2 Images Using Nonlocal Nonconvex Surrogate of Tensor Multirank." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14 (2021): 5694–706. http://dx.doi.org/10.1109/jstars.2021.3083495.

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Journal articles on the topic 'Super computers'

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