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A Survey of Accelerator Architectures for Deep Neural Networks Review

Yiran Chen, uan Xie, Linghao Song, Fan Chen, Tianqi Tang

Engineering 2020, Volume 6, Issue 3, Pages 264-274 doi: 10.1016/j.eng.2020.01.007

Abstract: These platforms, which belong to a larger category named “domain-specific computing,” focuson specific customization for AI.

Keywords： Deep neural network Domain-specific architecture Accelerator

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Learning natural ordering of tags in domain-specific Q&A sites

Junfang Jia, Guoqiang Li,jiajunfang816@163.com,li.g@sjtu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 2, Pages 141-286 doi: 10.1631/FITEE.1900645

Abstract: In this paper, we focus on the ing of tags in domain-specific Q&A sites.

Keywords： Question and answering (Q& A) sites Tagging Natural order Skip gram

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A survey on design and application of open-channel solid-state drives Review Article

Junchao CHEN, Guangyan ZHANG, Junyu WEI,gyzh@tsinghua.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 5, Pages 637-658 doi: 10.1631/FITEE.2200317

Abstract: Compared with traditional solid-state drives (SSDs), open-channel SSDs (OCSSDs) expose their internal physical layout and provide a host-based (FTL) that allows host-side software to control the internal operations such as (GC) and input/output (I/O) scheduling. In this paper, we comprehensively survey research works built on OCSSDs in recent years. We show how they leverage the features of OCSSDs to achieve high throughput, low latency, long lifetime, strong performance isolation, and high resource utilization. We categorize these efforts into five groups based on their optimization methods: adaptive interface customizing, rich FTL co-designing, exploiting, rational I/O scheduling, and efficient GC processing. We discuss the strengths and weaknesses of these efforts and find that almost all these efforts face a dilemma between performance effectiveness and management complexity. We hope that this survey can provide fundamental knowledge to researchers who want to enter this field and further inspire new ideas for the development of OCSSDs.

Keywords： Domain-specific storage Flash translation layer Garbage collection Internal parallelism Open-channel

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Generic and SME-specific factors that influence the BIM adoption process: an overview that highlights

Elodie HOCHSCHEID, Gilles HALIN

Frontiers of Engineering Management 2020, Volume 7, Issue 1, Pages 119-130 doi: 10.1007/s42524-019-0043-2

Abstract: Building information modeling/management (BIM) is an emerging technological and procedural shift in the architecture

Keywords： BIM adoption diffusion implementation change management SMEs literature review architecture firms

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Time-domain and frequency-domain approaches to identification of bridge flutter derivatives

Zhengqing CHEN

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 2, Pages 173-179 doi: 10.1007/s11709-009-0034-1

Abstract: method and a frequency-domain method.It was shown that all the flutter derivatives of the thin-plate model identified with the frequency-domainmethod and time-domain method, respectively, agree very well.More precisely, the frequency-domain method usually results in smooth curves of the flutter derivativesThe formulation of time-domain method makes the identification results of flutter derivatives relatively

Keywords： long-span bridges wind-induced vibration flutter derivatives forced vibration test time-domain method frequency-domain method

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Entity and relation extraction with rule-guided dictionary as domain knowledge

Frontiers of Engineering Management Pages 610-622 doi: 10.1007/s42524-022-0226-0

Abstract: Entity and relation extraction is an indispensable part of domain knowledge graph construction, whichcan serve relevant knowledge needs in a specific domain, such as providing support for product research, sales, risk control, and domain hotspot analysis.However, the performance of these methods degrades when they face domain-specific datasets.extraction models treat characters as basic semantic units while ignoring known character dependency in specific

Keywords： entity extraction relation extraction prior knowledge domain rule

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Damage identification in connections of moment frames using time domain responses and an optimization

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4, Pages 851-866 doi: 10.1007/s11709-021-0739-3

Abstract: study, an optimization-based method for joint damage identification of moment frames using the time-domain

Keywords： damage identification beam-to-column connection time-domain response optimization

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Terahertz time-domain spectroscopy of high-pressure flames

Jason BASSI, Mark STRINGER, Bob MILES, Yang ZHANG

Frontiers in Energy 2009, Volume 3, Issue 2, Pages 123-133 doi: 10.1007/s11708-009-0033-x

Abstract: Laser spectroscopy in the visible and near infrared is widely used as a diagnostic tool for combustion devices, but this approach is difficult at high pressures within a sooty flame itself. High soot concentrations render flames opaque to visible light, but they remain transparent to far-infrared or terahertz (THz) radiation. The first far-infrared absorption spectra, to the best of our knowledge, of sooty, non-premixed, ethylene high-pressure flames covering the region of 0.2-2.5 THz is presented. A specially designed high-pressure burner which is optically accessible to THz radiation has been built allowing flame transmission measurements up to pressures of 1.6 MPa. Calculations of the theoretical combustion species absorption spectra in the 0.2-3 THz range have shown that almost all the observable features arise from H O. A few OH (1.84 and 2.51 THz), CH (2.58 THz), and NH (1.77 and 2.95 THz) absorption lines are also observable in principle. A large number of H O absorption lines are observed in the ground vibrational in a laminar non-premixed, sooty flame (ethylene) at pressures up to 1.6 MPa.

Keywords： terahertz time-domain spectroscopy high-pressure flames H₂O absorption lines

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framework for underground structures in layered ground under inclined P-SV waves using stiffness matrix and domain

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 1, Pages 10-24 doi: 10.1007/s11709-022-0904-3

Abstract: Then, the domain reduction method was employed to reproduce the wavefield in the numerical model of the

Keywords： underground structures seismic response stiffness matrix method domain reduction method P-SV waves

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Dynamic parameterized learning for unsupervised domain adaptation Research Article

Runhua JIANG, Yahong HAN

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11, Pages 1616-1632 doi: 10.1631/FITEE.2200631

Abstract: enables neural networks to transfer from a labeled source domain to an unlabeled target domain by learningdomain-invariant representations.First, by exploring domain-level semantic knowledge, the dynamic alignment parameter is proposed, toBesides, for obtaining semantic-discriminative and domain-invariant representations, we propose to align

Keywords： Unsupervised domain adaptation Optimization steps Domain alignment Semantic discrimination

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NC flame pipe cutting machine tool based on open architecture CNC system

Xiaogen NIE, Yanbing LIU

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2, Pages 147-152 doi: 10.1007/s11465-009-0025-x

Abstract: The paper deals with the design and implementation of an open architecture CNC system for the NFPCM,

Keywords： flame pipe cutting flame incision tracks CNC open architecture CNC system

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Modular architecture model of CSCD system

Hongxue XU, Hong ZHENG, Xiuying GUO

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4, Pages 470-475 doi: 10.1007/s11465-010-0119-5

Abstract: A modular architecture model of a computer-supported collaborative design (CSCD) system is proposed onmodule as the core organizing and managing design objects and uses the common object request broker architecture

Keywords： computer-supported collaborative design (CSCD) distributed system component object technology modular architecture

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Layer-wise domain correction for unsupervised domain adaptation Article

Shuang LI, Shi-ji SONG, Cheng WU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1, Pages 91-103 doi: 10.1631/FITEE.1700774

Abstract: To address the domain shift or data bias problems, we introduce layer-wise domain correction (LDC), anew unsupervised domain adaptation algorithm which adapts an existing deep network through additiveThe corrections that are trained via maximum mean discrepancy, adapt to the target domain while increasing

Keywords： Unsupervised domain adaptation Maximum mean discrepancy Residual network Deep learning

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Frequency domain a9ctive vibration control of a flexible plate based on neural networks

Jinxin LIU, Xuefeng CHEN, Zhengjia HE

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 2, Pages 109-117 doi: 10.1007/s11465-013-0252-z

Abstract: Multi-frequency control in frequency domain was achieved by simulation through the NN-based control systems

Keywords： active vibration control (AVC) neural network (NN) low frequency noise frequency domain control multi-frequency

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Thermal reffusivity: uncovering phonon behavior, structural defects, and domain size

Yangsu XIE, Bowen ZHU, Jing LIU, Zaoli XU, Xinwei WANG

Frontiers in Energy 2018, Volume 12, Issue 1, Pages 143-157 doi: 10.1007/s11708-018-0520-z

Abstract: Like electrical resistivity which has been historically used as a theory for analyzing structural domaindefect levels of metals, the thermal reffusivity can also uncover phonon behavior, structure defects and domainFrom the residual thermal reffusivity at the 0 K limit, the structural thermal domain (STD) size of crystalline

Keywords： thermal reffusivity theory phonon behavior structure defects structural thermal domain (STD) size 2D