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SPA-SSD: Exploit Heterogeneity and Parallelism of 3D SLC-TLC Hybrid SSD to Improve Write Performance

SPA-SSD: Exploit Heterogeneity and Parallelism of 3D SLC-TLC...

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IEEE International Conference on Computer design: VLSI in Computers and Processors, (ICCD)

作者： Wenhui Zhang Qiang Cao Hong Jiang Jie Yao Yuanyuan Dong Puyuan Yang Wuhan National Laboratory for Optoelectronics Key Laboratory of Information Storage System Engineering Research Center of Data Storage Systems and Technology Ministry of Education of China Huazhong University of Science and Technology Wuhan China Department of Computer Science and Engineering University of Texas at Arlington Arlington Texas School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China Alibaba Group. Hangzhou China

To address the write performance problem suffered by MLC/TLC flash, researchers have proposed hybrid SSD that aims to combine the strengths of SLC flash, used as the write-buffer zone for its superior write performance, and MLC/TLC flash, as the capacity zone for its high storage density. While leveraging SLC as a physical write-buffer zone is proven effective in traditional 2D hybrid SSDs, how to effectively incorporate SLC into a 3D-stacked TLC to form a hybrid SSD has not been studied to the best of our knowledge. Yet this is a timely and important performance issue for 3D-stacked TLC given its one-shot programming scheme that results in much worse write performance than the programming scheme in 2D TLC where pages are associated with different bits of a cell and programmed in sequence separately. We believe that naively adopting the two-physical-zone approach to 3D hybrid SSD will miss a great opportunity for performance optimization because it ignores the inherent four-level parallelism (channel/chip/die/plane) of the flash chip array. To this end, we propose in this paper an SLC and Parallelism Aware hybrid SSD (SPA-SSD) to take full advantages of SLC's superior write performance, the internal multi-level parallelism of SSD, and the high storage density of 3D-stacked TLC flash. Two novel techniques enable SPA-SSD to be highly effective: (1) Type-Parallelism Joint Page Allocation (TPJ-PA), which allocates pages for write transactions according to not only available SLC pages but also parallelism to maximize resource utilization within the hybrid SSD, and (2) Queue-length and Parallelism Constrained Data Migration (QPC-DM), which triggers data migration without degrading user write performance by analyzing the device queue length and available flash resources. To evaluate performance of SPA-SSD, a hybrid SSD simulator, called HybridSim, is developed based on MQSim. Experimental results on HybridSim show that TPJ-PA improves write throughput by 60%, while QPC-DM

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Lifelong Disk Failure Prediction via GAN-Based Anomaly Detection

Lifelong Disk Failure Prediction via GAN-Based Anomaly Detec...

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IEEE International Conference on Computer design: VLSI in Computers and Processors, (ICCD)

作者： Tianming Jiang Jiangfeng Zeng Ke Zhou Ping Huang Tianming Yang Wuhan National Laboratory for Optoelectronics Key Laboratory of Information Storage System Engineering Research Center of Data Storage Systems and Technology Ministry of Education of China School of Computer Science & Technology Huazhong University of Science & Technology China School of Information Management Central China Normal University China Temple University USA Huanghuai University China

As a classical technique in storage systems, disk failure prediction aims at predicting impending disk failures in advance for high data reliability. Over the past decades, taking as input the SMART (Self-Monitoring, Analysis and Reporting technology) attributes, many supervised machine learning algorithms have been proven to be effective for disk failure prediction. However, these approaches heavily rely on the availability of substantial annotated failed disk data which unfortunately exhibits an extreme data imbalance, i.e., the number of failed disks is much smaller than that of healthy ones, resulting in suboptimal performance and even inability at the beginning of their deployment, i.e., cold starting problem. Inspired by the significant success achieved in GAN (Generative Adversarial Network) based anomaly detection, in this paper, we translate disk failure prediction into an anomaly detection problem. Specifically, we develop a novel Semi-supervised method for lifelong disk failure Prediction via Adversarial training, called SPA. The distinguishing feature of SPA from existing supervised approaches is that SPA is only trained on healthy disks, which avoids the traditional limitations of imbalance in datasets and eliminates the cold starting problem. Furthermore, a novel 2D image-like representation technique is proposed to enable the deployment of deep learning techniques and the automatic feature extraction. Experimental results on real-world SMART datasets demonstrate that, compared with the state-of-the-art supervised machine learning based methods, our approach predicts disk failures at a higher accuracy for the entire lifetime of models, i.e., both the initial period and the long-term usage.

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Recent Improvements in the Dart Model for Atmosphere, Topography, Large Landscape, Chlorophyll Fluorescence, Satellite Image Inversion

Recent Improvements in the Dart Model for Atmosphere, Topogr...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： J.P. Gastellu-Etchegorry Y. Wang O. Regaieg T. Yin Z. Malenovsky Z. Zhen X. Yang Z. Tao L. Landier A. Al Bitar Deschamps N. Lauret J. Guilleux E. Chavanon B. Cao J. Qi A. Kallel Z. Mitraka N. Chrysoulakis B. Cook D. Morton Université de Toulouse CESBIO - UPS CNES CNRS IRD Toulouse France Earth System Science Interdisciplinary Center University of Maryland College Park MD USA School of Technology Environments and Design University of Tasmania Hobart Australia College of Geo-Exploration Science and Technology Jilin University Changchun China Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences Beijing China Key Laboratory of Geographical Information Science East China Normal University Shanghai China CNES Toulouse France Beijing Forestry University Beijing China CRNS ATMS Sfax Tunisia Foundation for Research and Technology Hellas (FORTH) Heraklion Greece NASA Goddard Space Flight Center Greenbelt MD USA

ISBN: (数字)9781728163741

ISBN: (纸本)9781728163758

Physical models simulating the radiative budget (RB) and remote sensing (RS) observation of three-dimensional (3D) landscapes are critical to better understand human and natural components of the Earth system and further develop RS technology. DART is one of the most comprehensive 3D models of Earth-atmosphere optical radiative transfer (RT), from ultraviolet (UV) to thermal infrared (TIR). It simulates the optical signal of proximal, aerial and satellite imaging spectrometers and laser scanners, the 3D RB and solar induced chlorophyll fluorescence (SIF) signal, for any urban or natural landscape and any experimental or instrument configuration. It is freely available for research and teaching activities (https://***). Here, five recent advances are presented. 1) Atmosphere RT. 2) RT in non repetitive topography. 3) Monte Carlo modelling for fast RS image simulation of large landscapes. 4) SIF modelling for vegetation simulated as facets and turbid cells. 5) RS image inversion for mapping the optical properties of urban material and the urban radiative budget.

关键词： Atmospheric modeling Three-dimensional displays Terrestrial atmosphere Earth Satellites Computational modeling Surface topography

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Locomotion Mode Recognition based on Foot posture and Ground Reaction Force 15

Locomotion Mode Recognition based on Foot posture and Ground...

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15th International Conference on Ubiquitous Robots, UR 2018

作者： Zhu, Aibin Li, Ying Wu, Yuexuan Wu, Mengke Zhang, Xiaodong Key Laboratory of Intelligent Robot of Shaanxi Province Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System Xi'an Jiaotong University Xi'an710049 China Shaanxi University of Science Technology Xi'an710000 China

ISBN: (纸本)9781538663349

Efficient and accurate locomotion mode recognition is the basis and the key to compliance control of exoskeleton. Considering the fact that single ground reaction force information can not realize continuous gait phase recognition in the whole gait cycle and traditional inertial sensors' installation method tends to cause binding error, this paper established a wearable gait analysis system based on inertial sensor and foot pressure sensor which entirely embedded in a shoe insole. An inertial sensor mounting structure for foot posture information acquisition was designed to reduces the binding errors caused by the uncertain binding position and the random errors caused by the relative position changes with the movement. Two force sensors was set to measure the force load on the shoe insole at the heel and the forefoot during walking. Then, the gait curve of the normal human beings measured by this wearable gait analysis system is segmented by a periodic segmentation method combining power spectrum and feature points, and features is extracted from the time series of sensor signals according to the characteristics of the human gait. Probabilistic neural network is used to identify the locomotion modes and to verify the effectiveness of this wearable gait analysis system, experiments on different terrains are performed. The experiment results show that this method can effectively reduce binding error and random error, and reflect the foot movement during walking. Furthermore, the measurement method can accurately and effectively identify level-ground walking, stair ascent and stair decent, showing great potential for further development and applicability in control of exoskeleton. © 2018 IEEE.

关键词： Random errors

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Small Cluster Underwater Robot design with Variable Pitch Propeller 15

Small Cluster Underwater Robot design with Variable Pitch Pr...

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15th International Conference on Ubiquitous Robots, UR 2018

作者： Zhu, Aibin Song, Jiyuan Li, Ying Wu, Mengke Zhang, Xiaodong Key Laboratory of Intelligent Robot of Shaanxi Province Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System Xi'an Jiaotong University Xi'an710049 China Shaanxi University of Science Technology Xi'an710021 China

ISBN: (纸本)9781538663349

Most underwater robots use multiple sets of thrusters with motors and propellers to drive them independently that makes them bulky, inflexible and complex. In this paper, the propeller is innovatively designed that it can change the pitch that can be applied to underwater robots. The compact design, propeller response speed and high movement flexibility are the biggest advantage of this robot over current conventional designs. The movement of robot is controlled by three propellers and their rotations are driven by a common motor and each propeller is equipped with a servo to control the pitch. Transmission structure designed is symmetrical and compact that creates dynamic balance of the strong structure in itself. The retractable float completes the data transfer between the robot and the ground control also informs space assisted position of the robot when it is underwater and the float is outside of water. In addition, the robot also includes a matching electronic drive and remote control box. Basic movement requirements can be achieved through the independent and coordinated control of the three actuators of the robot. The actual underwater test of the robot verifies the flexibility and horizontal stability of the robot designed. The characteristics of carrying sensors in underwater robots to move more flexibly and effectiveness of the proposed control method is also verified in the actual water test. © 2018 IEEE.

关键词： Robots

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Connectors Based on 2-Way SMA Actuator for Self-reconfigurable Chain Robots

Connectors Based on 2-Way SMA Actuator for Self-reconfigurab...

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IEEE International Conference on Mechatronics and Automation

作者： Fenglei Ni Yongqiang Li Yunhu Zhou Hong Liu Yuan Tang State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin Heilongjiang Province China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu China

Self-reconfigurable modular robots have shown great potential in carrying out multiple tasks in different conditions. A connection of both flexibility and reliability is critical for realizing the docking and transformation of the modular robots. We propose a new design of connectors based on SMA which has the advantages of high autonomy, small size and high speed. The couples of connectors consist of active and passive connector. In the active connector, a two-way rotary SMA actuator is used as the actuation mechanism. The double-layer cam and claws are used as an executive mechanism. The passive connector can be securely docked in five different facets for 3D reconfigurations. The multisensory system and hardware architecture provide the foundation for control strategies. The design and the prototype of the connector are described in this paper. Finally, experimental results to evaluate the performance of docking are presented.

关键词： Connectors Robots Contacts Wires Actuators Springs Task analysis

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Why To Model Remote Sensing Measurements In 3d? Recent Advances In Dart: Atmosphere, Topography, Large Landscape, Chlorophyll Fluorescence And Satellite Image Inversion

Why To Model Remote Sensing Measurements In 3d? Recent Advan...

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International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)

作者： J.P. Gastellu-Etchegorry Y. Wang O. Regaieg T. Yin Z. Malenovsky Z. Zhen X. Yang Z. Tao L. Landier A. Al Bitar Deschamps N. Lauret J. Guilleux E. Chavanon B. Cao J. Qi A. Kallel Z. Mitraka N. Chrysoulakis B. Cook D. Morton Université de Toulouse CESBIO - UPS CNES CNRS IRD Toulouse France Earth System Science Interdisciplinary Center University of Maryland College Park MD 20740-3823 USA School of Technology Environments and Design University of Tasmania Hobart Australia College of Geo-Exploration Science and Technology Jilin University Changchun China Chinese Academy of Sciences Institute of Remote Sensing and Digital Earth Beijing China Key Laboratory of Geographical Information Science East China Normal University Shanghai China CNES 18 Av. Belin Toulouse France Beijing Forestry University Beijing China CRNS ATMS Sfax Tunisia Foundation for Research and Technology Hellas (FORTH) Heraklion Greece NASA Goddard Space Flight Center Greenbelt USA

ISBN: (数字)9781728175133

ISBN: (纸本)9781728175140

Remote sensing (RS) dedicated to the study of land surfaces benefits from more and more advanced sensors. However, the interpretation of RS data is often is often inaccurate due to the complexity of the observed land surfaces. Therefore, RS models, in particular physical models, that simulate RS observations of the three-dimensional (3D) landscapes are critical to correctly interpret RS data. DART is one of the most comprehensive 3D models of Earthatmosphere optical radiative transfer (RT), from ultraviolet (UV) to thermal infrared (TIR). It simulates the optical signal of proximal, aerial and satellite imaging spectrometers and laser scanners, the 3D RB and solar-induced chlorophyll fluorescence (SIF) signal, for any urban or natural landscape and any experimental or instrument configuration. It is freely available for research and teaching activities (***). After illustrating three significant sources of inaccuracy in RS interpretation, five recent DART advances are presented: RT in the atmosphere and topography, fast RS image simulation of large landscapes, SIF modelling, and satellite image inversion.

关键词： Atmospheric modeling Three-dimensional displays Reflectivity Surface topography Sun Forestry Solid modeling

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Passivity and Synchronization of Coupled Complex-Valued Memristive Neural Networks

Passivity and Synchronization of Coupled Complex-Valued Memr...

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IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Yanli Huang Jie Hou Shunyan Ren Erfu Yang Tianjin Key Laboratory of Optoelectronic Detection Technology and System School of Computer Science and Technology Tiangong University Tianjin China School of Mechanical Engineering Tiangong University Tianjin China Department of Design Manufacture and Engineering Management University of Strathclyde Glasgow Scotland UK

ISBN: (数字)9781728124858

ISBN: (纸本)9781728124865

The coupled complex-valued memristive neural networks (CCVMNNs) are investigated in this study. First, we analyze the passivity of the proposed network model by designing an appropriate controller and using certain inequalities as well as Lyapunov functional method, and provide a passivity condition for the considered CCVMNNs. In addition, a criterion for guaranteeing synchronization of this kind of network is established. Finally, the effectiveness and correctness of the acquired theoretical results are verified by a numerical example.

关键词： Synchronization Biological neural networks Memristors Couplings Neurons

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Fast reaction of AlNPs promoted by oxide shell

Fast reaction of AlNPs promoted by oxide shell

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中国力学大会（CCTAM 2019）

作者： Bao Wu FengChao Wu YinBo Zhu AnMin He Pei Wang HengAn Wu CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Modern Mechanics CAS Center for Excellence in Complex System Mechanics University of Science and Technology of China Laboratory of Computational Physics Institute of Applied Physics and Computational Mathematics

Combustion of Aluminum nanoparticles(AlNPs) has long been investigated experimentally because of its use in various energetic formulations for propellants and explosives. But the limited spatio-temporal resolution in experiments in particular makes it challenging to explore the microstructural evolution of AlNPs oxidation and associated mechanisms. Here we perform large-scale reactive molecular dynamics simulations to study the structural evolution of AlNPs with 2-4 nm thick oxide shell in oxygen environment. We find the temporal hollowing processes of AlNPs for both symmetrical and asymmetrical oxidations, in which the morphological evolution can be understood by discrepant electric field and temperature distributions for different system. In the early time, core Aluminum atoms experience a fast reaction with oxide shell. Environmental oxygen does not react with AlNPs until the surface O/Al ratio decreases to ～1.2. Moreover, based on our simulation results, previous experimental data agree well with the proposed model, which can well describe the relationship between combustion efficiency and oxide shell thickness, reveling that oxide shell promotes other than hinders combustion of AlNPs. The molecular insights obtained here would be significant for understanding the underlying mechanism and further modelling of AlNPs combustion

关键词： Fast reaction of AlNPs promoted by oxide shell

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A design of hardware-in-the-loop real-time simulation for large-scale complex electromechanical system

A design of hardware-in-the-loop real-time simulation for la...

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CSAA/IET International Conference on Aircraft Utility systems, AUS 2018

作者： Liu, Zhentian Wang, Guangsen Lin, Chengmei Wang, Zhiwei Li, Jing National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval Univ. of Engineering Wuhan China Wuhan Marine Machinery Co. Ltd Wuhan China

ISBN: (纸本)9781785617911

The more electric aircraft (MEA), belonging to the large-scale complex electromechanical system (LSCES), always has a large-scale complex structure, of which the design, testing, and evaluation may be a challenging task. In order to analyze the impact of various factors on the system performance and reduce the potential risk, it is advantageous to establish a hardware-inthe-loop (HIL) real-time simulation platform for MEA. From this purpose, some key processes are suggested to clear the way for an efficient and accurate design. First, the principles of system partitioning and high-performance communication network are presented for distributed parallel computation. Then, algorithms are discussed and compared aiming to compensate intersimulation time-step switching error caused by high-frequency switches which are widely used in MEA. Finally, an automation test method based on Monte Carlo (MC) and Genetic Algorithm (GA) methodology is proposed. In the experimental part, a permanent magnet synchronous motor (PMSM) in HIL mode is presented to demonstrate the practicality, with the results of the offline and real-time simulation compared. In short, this paper provides a guidance for establishing an HIL platform for LSCES. © 2018 IET Conference Publications. All rights reserved.

关键词： Genetic algorithms

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