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IEEE International Conference on Radar

作者： Di Zhang Qun Wan School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China Agile and Intelligent Computing Key Laboratory of Sichuan Province Chengdu China

ISBN: (纸本)9781665468893

In this paper we study the problem of hypothesis testing for detection of a block-sparse signal, which consists of clusters of non-zero elements, from the magnitude-only measurements. As a typical phase retrieval problem, the detection is solved by a method based on convex programming. We derive a detector for the measurement model of this paper and analyze the theoretical performance of the proposed detector. The advantages of our method are indicated in numerical experiments of region of convergence and noise-robustness, etc.. Specifically, the number of requiring measurements of our method for a successful detection is apparently lower than counterparts.

关键词： Phase measurement Parameter estimation Radar measurements Radar detection Detectors Radar Programming

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An adaptive strategy for updating the memory in Evolutionary Algorithms for dynamic optimization

An adaptive strategy for updating the memory in Evolutionary...

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IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE)

作者： Tao Zhu Wenjian Luo Zhifang Li Anhui Key Laboratory of Software Engineering in Computing and Communication University of Science and Technology Hefei Anhui China University of Science and Technology of China Hefei Anhui CN

The memory scheme is one of the most widely employed techniques in Evolutionary Algorithms for solving dynamic optimization problems. The updating strategy is a key concern for the memory scheme. Unfortunately, the existent memory updating strategies neglect the characteristics of the memory updating behaviors, and sometimes this could lead results against the original intention. In this paper, a novel updating strategy is proposed, which can adaptively update the memory according to the characteristics of the memory updating behaviors. Experiments are carried out in different kinds of dynamic environments, and the experimental results show that the proposed strategy is better than the traditional strategies.

关键词： Memory management Heuristic algorithms Optimization Generators Evolutionary computation Associative memory Redundancy

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Improved point clouds data simplification algorithm in 3D data processing

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content Technology and its Applications 2012年第20期6卷 679-685页

作者： Haiyan, Wang Hong, Wan School of Computer and Communication Engineering Tianjin University of Technology Tianjin 300384 China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin 300384 China

With the development of computer technology, Reverse Engineering (RE) based on 3D data processing has developed greatly. The whole procedure of laser scanning color 3D data from the aspect of 3D data processing includes the pre-processing of point clouds and the surface reconstruction. This paper proposes improved point clouds data simplification algorithm in 3D data processing, it is the adjustment of simplification algorithm under the restriction of color boundary compared to the key simplification algorithms of the pre-processing for color 3D point clouds. The experiment result shows that the proposed algorithm is effective.

关键词： Surface reconstruction

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Optimal control of linear Gaussian quantum systems via quantum learning control

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Physical Review A 2024年第6期109卷 063508-063508页

作者： Yu-Hong Liu Yexiong Zeng Qing-Shou Tan Daoyi Dong Franco Nori Jie-Qiao Liao Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Key Laboratory for Matter Microstructure and Function of Hunan Province Department of Physics and Synergetic Innovation Center for Quantum Effects and Applications Theoretical Quantum Physics Laboratory Cluster for Pioneering Research Quantum Computing Center Key Laboratory of Hunan Province on Information Photonics and Freespace Optical Communication College of Physics and Electronics School of Engineering and Information Technology Department of Physics Institute of Interdisciplinary Studies

Efficiently controlling linear Gaussian quantum (LGQ) systems is a significant task in both the study of fundamental quantum theory and the development of modern quantum technology. Here, we propose a general quantum-learning-control method for optimally controlling LGQ systems based on the gradient-descent algorithm. Our approach flexibly designs the loss function for diverse tasks by utilizing first- and second-order moments that completely describe the quantum state of LGQ systems. We demonstrate both deep optomechanical cooling and large optomechanical entanglement using this approach. Our approach enables the fast and deep ground-state cooling of a mechanical resonator within a short time, surpassing the limitations of sideband cooling in the continuous-wave driven strong-coupling regime. Furthermore, optomechanical entanglement could be generated remarkably fast and surpass several times the corresponding steady-state entanglement, even when the thermal phonon occupation reaches one hundred. This work will not only broaden the application of quantum learning control, but also open an avenue for optimal control of LGQ systems.

关键词： Optomechanics Quantum optics

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Energy-Efficient In-Memory Paging for Smartphones

Energy-Efficient In-Memory Paging for Smartphones

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作者： Zhong, Kan Liu, Duo Liang, Liang Zhu, Xiao Long, Linbo Wang, Yi Sha, Edwin Hsing-Mean College of Computer Science Chongqing University Chongqing400044 China Key Laboratory of Dependable Service Computing in Cyber Physical Society Chongqing University Ministry of Education Chongqing400044 China College of Communication Engineering Chongqing University Chongqing400044 China College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China

Smartphones are becoming increasingly energy-hungry to support feature-rich applications, posing a lot of pressure on battery lifetime and making energy consumption a non-negligible issue. In particular, dynamic random access memory (DRAM)-based main memory subsystem is a major contributor to the energy consumption of mobile devices. In this paper, we propose direct read (DR). Swap, an energy-efficient in-memory paging design to reduce energy consumption in smartphones. In DR. Swap, we adopt emerging energy-efficient nonvolatile memory (NVM) and use it as the swap area. Utilizing NVMs byte-addressability, we propose DR which guarantees zero memory copy for read-only requests when accessing a page in swap area. To better understand the energy consumption of swapping, we build an energy model to analyze the energy consumption of different paging architectures. We evaluate DR. Swap based on the Google Nexus 5 smartphone, experimental results show that our technique can reduce more than 50% energy consumption compared to DRAM backed swapping. © 2015 IEEE.

关键词： Smartphones

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A Parallel NURBS-based Isogeometric Analysis Framework on Multi-core CPUs

A Parallel NURBS-based Isogeometric Analysis Framework on Mu...

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2012年全国理论计算机科学学术年会(NCTCS2012)

作者： Licai Guo Zhangjin Huang School of Computer Science and Technology University of Science and Technology of China PR China USTC-SICT Joint Laboratory on Network and Key Laboratory of Software in Computing and Communication Anhui Province PR China USTC-SICT Joint Laboratory on Network and Communication PR China School of Computer Science and Technology University of Science and Technology of China PR China

parallel framework for NURBS-based isogeometric analysis on multi-core cpus is presented in this *** framework is composed of two parts:(1) construction of the stiffness matrix and right hand side vector; (2) a parall...

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The Quantum Internet (Technical Version)

arXiv

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arXiv 2025年

作者： Rohde, Peter P. Huang, Zixin Ouyang, Yingkai Huang, He-Liang Su, Zu-En Devitt, Simon Ramakrishnan, Rohit Mantri, Atul Tan, Si-Hui Liu, Nana Harrison, Scott Radhakrishnan, Chandrashekar Brennen, Gavin K. Baragiola, Ben Q. Dowling, Jonathan P. Byrnes, Tim Munro, William J. Centre for Quantum Software and Information Faculty of Engineering and Information Technology University of Technology Sydney SydneyNSW Australia Hearne Institute for Theoretical Physics Louisiana State University Baton Rouge United States School of Mathematical and Physical Sciences Macquarie University NSW2109 Australia School of Mathematical and Physical Sciences University of Sheffield SheffieldS3 7RH United Kingdom Henan Key Laboratory of Quantum Information and Cryptography Henan Zhengzhou450000 China Hefei National Laboratory for Physical Sciences at Microscale Department of Modern Physics University of Science & Technology of China Hefei China CAS Centre for Excellence and Synergetic Innovation Centre in Quantum Information & Quantum Physics University of Science & Technology of China Hefei China CAS-Alibaba Quantum Computing Laboratory Shanghai China InstituteQ Aalto University Espoo02150 Finland Indian Institute of Science Bangalore India Singapore University of Technology & Design Singapore Centre for Quantum Technologies National University of Singapore Singapore Horizon Quantum Ireland 24 Fitzwilliam Place Dublin 2 D02 T296 Ireland Institute of Natural Sciences Shanghai Jiao Tong University Shanghai200240 China School of Mathematical Sciences Shanghai Jiao Tong University Shanghai200240 China Ministry of Education Key Laboratory in Scientific and Engineering Computing Shanghai Jiao Tong University Shanghai200240 China Shanghai Artificial Intelligence Laboratory Shanghai China University of Michigan Shanghai Jiao Tong University Joint Institute Shanghai200240 China Leibniz Institute for Research & Information in Education Frankfurt am Main Germany Department of Computer Science and Engineering NYU Shanghai 567 West Yangsi Road Shanghai200124 China Centre of Excellence in Engineered Quantum Systems Macquarie University NSW Australia Centre for Quantum Computation and Communication Technology School of Science RMIT University VIC

The desire to share and unite remote digital assets motivated the development of the classical internet, the enabler of the entire 21st century economy and our modern way of life. As we enter the quantum era, it is to be expected there will be a similar demand for networking quantum assets, motivating a global quantum internet for bringing together the world's quantum resources, leveraging off their exponential trajectory in capability. We present models for quantum networking, how they might be applied in the future, and the implications they will have. Socially, economically, politically and geostrategically, the upcoming era of quantum supremacy will be as significant for the 21st century as the transistor was for the 20th. The inherently different scaling in the computational power of quantum computers fundamentally changes the dynamics of how they will operate in the future. Given their high expected initial cost, a client/server model for outsourcing computation will be essential for enabling the accessibility and proliferation of this technology, and ensuring its economic viability. We therefore anticipate the emergence of cloud quantum computing, a model for outsourcing quantum computations to the network. We argue that economic efficiency will mandate that all future quantum computers be united into a single global virtual quantum computer, offering exponentially more power to all network participants than if they were to keep their resources to themselves. This model for the allocation of computational resources is uniquely quantum, with no classical analogue, completely altering the economic landscape for the future of computation. Given the sensitivity of much of the data to which future quantum computers are going to foreseeably be applied, protocols for encrypted quantum computation will be essential - the outsourcing of computations that neither an eavesdropper nor even the server performing the computation can spy upon. This will enable new models fo

关键词： Outsourcing

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Hyperbolic geometry is not necessary: Lightweight Euclidean-based models for low-dimensional knowledge graph embeddings

arXiv

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arXiv 2021年

作者： Wang, Kai Liu, Yu Lin, Dan Sheng, Quan Z. School of Software Technology Dalian University of Technology Dalian116620 China Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province China Department of Computing Macquarie University SydneyNSW2109 Australia

Recent knowledge graph embedding (KGE) models based on hyperbolic geometry have shown great potential in a low-dimensional embedding space. However, the necessity of hyperbolic space in KGE is still questionable, because the calculation based on hyperbolic geometry is much more complicated than Euclidean operations. In this paper, based on the state-of-the-art hyperbolic-based model RotH, we develop two lightweight Euclidean-based models, called RotL and Rot2L. The RotL model simplifies the hyperbolic operations while keeping the flexible normalization effect. Utilizing a novel two-layer stacked transformation and based on RotL, the Rot2L model obtains an improved representation capability, yet costs fewer parameters and calculations than RotH. The experiments on link prediction show that Rot2L achieves the state-of-the-art performance on two widely-used datasets in low-dimensional knowledge graph embeddings. Furthermore, RotL achieves similar performance as RotH but only requires half of the training time. Copyright © 2021, The Authors. All rights reserved.

关键词： Knowledge graph

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ROSF: Leveraging Information Retrieval and Supervised Learning for Recommending Code Snippets

arXiv

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arXiv 2017年

作者： Jiang, He Nie, Liming Sun, Zeyi Ren, Zhilei Kong, Weiqiang Zhang, Tao Luo, Xiapu School of Software Dalian University of Technology Dalian China Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province Dalian China State Key Laboratory of Software Engineering Wuhan University Wuhan China Key Laboratory for Ubiquitous Network Service Software of Liaoning Province Dalian China School of Computer Science & Technology Nanjing University of Posts and Telecommunications Nanjing China Department of Computing Hong Kong Polytechnic University Hong Kong Hong Kong

—when implementing unfamiliar programming tasks, developers commonly search code examples and learn usage patterns of APIs from the code examples or reuse them by copy-pasting and modifying. For providing high-quality code examples, previous studies present several methods to recommend code snippets mainly based on information retrieval. In this paper, to provide better recommendation results, we propose ROSF, Recommending cOde Snippets with multi-aspect Features, a novel method combining both information retrieval and supervised learning. In our method, we recommend Top-K code snippets for a given free-form query based on two stages, i.e., coarse-grained searching and fine-grained re-ranking. First, we generate a code snippet candidate set by searching a code snippet corpus using an information retrieval method. Second, we predict probability values of the code snippets for different relevance scores in the candidate set by the learned prediction model from a training set, re-rank these candidate code snippets according to the probability values, and recommend the final results to developers. We conduct several experiments to evaluate our method in a large-scale corpus containing 921,713 real-world code snippets. The results show that ROSF is an effective method for code snippets recommendation and outperforms the-state-of-the-art methods by 20% - 41% in Precision and 13% - 33% in NDCG. Copyright © 2017, The Authors. All rights reserved.

关键词： Supervised learning

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Research on Ultra-Dependable Embedded Real Time Operating System

Research on Ultra-Dependable Embedded Real Time Operating Sy...

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IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social computing (CPSCom) Green computing and communications (GreenCom)

作者： Hui Chen ShiPing Yang Shanghai Key Laboratory of Trustworthy Computing Software Engineering Institute East China Normal University Shanghai China Guangzhou Haige Communication Industry Group Guangzhou China

In this paper, to research and design ultra-dependable embedded real time operating system supporting security and safety, spatial and temporal isolation safeguard is proposed and used. Temporal isolation mechanism guarantees a subsystem can exclusively use a pre-allocated processing time without any intervention from other subsystem. On the other hand, spatial isolation implies that a subsystem cannot inadvertently access other subsystem's space resources, like memory, buffers, I/O ports, and registers. Thus, a subsystem is the owner of its resources, such as memory, I/O ports, and processor time units. From this, the real time tasks running in different subsystems never interfere with each other. To support the temporal isolation among subsystems, a two-level scheduling model is designed, which consists of a low-level cyclic schedule at the operating system level and high-level fixed priority schedule at subsystem level. Thus, a real time task in a subsystem can only be scheduled and executed during the static time window allocated to the subsystem, and any task overrun cannot cross the time window boundaries of subsystem. It is very easy to restrain a task time-failure within the subsystem with temporal isolation mechanism. In reference to spatial isolation safeguard, a based on hard currency and error holding mechanism is presented, it apply to most embedded modern processors with memory protection unit, such as i386sx, PowerPC. As a result, an ultra-dependable embedded RTOS supporting temporal and spatial isolation safeguard is implemented and verified. It is called ERTOS designed by software Engineering Institute of East China Normal University.

关键词： Servers Operating systems Safety Real time systems Schedules Computer hacking

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