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China Semiconductor Technology International Conference (CSTIC)

作者： Junfeng Zhao Lixin Tang National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern University Shenyang China Ministry of Education Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University) Shenyang China

The defect detection of semiconductor wafer patterns is essential in the process of chip manufacturing. With the improvement of the IC process and design level, the types of wafer surface defects become more complex. In addition, the sample size of wafer map defect data is usually small, and the class is unbalanced, which poses higher challenges to the existing methods. To effectively identify mixed-type defects, a mixed-type defect detection framework with Vision Transformer (ViT) combined with meta-learning and transfer learning (MetaViT-Trans) is proposed. The results show that the MetaViT-Trans framework has a good defect feature extraction ability for imbalanced small-scale wafer map defect data, and has a good multi-scale information learning ability, which can effectively identify a variety of mixed-type defects.

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Lithography Hotspot Detection Based on Transfer Learning With High Resolution Networks

Lithography Hotspot Detection Based on Transfer Learning Wit...

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China Semiconductor Technology International Conference (CSTIC)

作者： Hongzhe Wang Lixin Tang National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern University Shenyang China The Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University) Ministry of Education Shenyang China

As integrated circuit (IC) technology continues to advance, lithography hotspot detection is of importance in physical verification flow and can affect the turn-around time and the yield of IC manufacturing. In this paper, a deep learning-based lithography hotspot detection method is proposed to overcome the problem of unbalanced positive and negative samples in detection. The proposed method uses the High-Resolution Network (HR-Net18) and pre-trained model from ImageNet to improve transferability. ICCAD 2012 benchmark suits is used for model train and test. The experimental results show that the proposed method performs well in terms of the values of AUC and precision.

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ETO Meets Scheduling: Learning key Knowledge from Single-Objective Problems to Multi-Objective Problem

ETO Meets Scheduling: Learning Key Knowledge from Single-Obj...

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2021 China Automation Congress, CAC 2021

作者： Xu, Wendi Wang, Xianpeng College of Information Science and Engineering Northeastern University China Key Laboratory of Data Analytics and Optimization for Smart Industry Ministry of Education China

ISBN: (纸本)9781665426473

Evolutionary transfer optimization(ETO) serves as "a new frontier in evolutionary computation research", which will avoid zero reuse of experience and knowledge from solved problems in traditional evolutionary computation. In schedule-ing applications via ETO, a highly competitive "meeting" framework between them could be constituted towards both intelligent scheduling and green scheduling, especially for carbon neutrality within the context of China. To the best of our knowledge, our study on scheduling here, is the 1st work of ETO for complex optimization when multi-objective problem "meets" single-objective problems in combinatorial case (not multitasking optimization). More specifically, key knowledge like positional building blocks clustered, could be learned and transferred for permutation flow shop scheduling problem (PFSP). Empirical studies on well-studied benchmarks validate relatively firm effectiveness and great potential of our proposed ETO-PFSP framework. © 2021 IEEE

关键词： data analytics

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Finite-time H∞ Control for Switched Systems:An Event-triggered Bumpless Transfer Approach

Finite-time H∞ Control for Switched Systems:An Event-trigge...

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第35届中国控制与决策会议

作者： Jinghan Li Guangxu He Qiang Zeng Jun Zhao State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Key Laboratory of Data Analytics and Optimization for Smart Industry(Northeastern University) Ministry of Education College of Information Science and Engineering Northeastern University

In this paper,the event-triggered finite-time H∞bumpless transfer control problem of switched systems is *** event-triggered bumpless transfer control method with local constraints is proposed to reduce the bump generated by switching event-triggered controller.A sufficient condition is given to ensure the solvability of the switched systems with eventtriggered finite-time H bumpless transfer *** positive lower bound of event-triggered integral is obtained,which implies that Zeno behavior is *** using the multiple Lyapunov functions method,a state-dependent switching law,an eventtriggered mechanism and a bumpless transfer controller are ***,a simulation example is given to verify the effectiveness of the proposed method.

关键词： switched systems bumpless transfer event-triggered finite-time H_∞control

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Output Bumpless Transfer Control for Switched Linear Systems Under the State-Dependent Switching

Output Bumpless Transfer Control for Switched Linear Systems...

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第42届中国控制会议

作者： Jinghan Li Jun Zhao State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Key Laboratory of Data Analytics and Optimization for Smart Industry(Northeastern University) Ministry of Education College of Information Science and Engineering Northeastern University

In this paper,we discuss the output bumpless transfer control for a class of switched linear systems with statedependent ***,the concept of output bumpless transfer performance is given,which ensures the stability of the closed-loop system as well as the output bumpless transfer at the switching *** using multiple Lyapunov function method and imposing the proposed output bumps limitation,a state-dependent switching,and the controller are ***,an example is given to verify the effectiveness of the proposed method.

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Event-triggered output regulation bumpless transfer control for discrete-time switched systems under DoS

Event-triggered output regulation bumpless transfer control ...

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第35届中国控制与决策会议

作者： Hanqing Qu Siyuan Zhang Jun Zhao State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University) Ministry of Education College of Information Science and Engineering Northeastern University

This paper studies the output regulation bumpless transfer control for event-triggered discrete-time switched systems under denial-of-service(DoS) *** switched systems subject to DoS,both the sensor signal and switching signal may be *** satisfy the bumpless transfer(BT) performance,we cannot use the common input zeroing *** problem that the triggering error being attacked may not follow the triggering condition ***,the controller mode may be asynchronous with the plant *** with the above two problems,we design an event-triggered dynamic error feedback controller and a switching law to guarantee that the output regulation problem for switched systems is solvable,and the BT performance can be ***,corresponding sufficient conditions are proposed in the form of linear matrix inequalities(LMIs).Finally,a numerical example is given to illustrate the validity of our results.

关键词： Discrete-time switched systems output regulation bumpless transfer control event-triggering transmission DoS attacks

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Constraining primordial black hole abundance with Insight-HXMT

arXiv

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arXiv 2024年

作者： Yang, Chen Zhang, Xin Liaoning Key Laboratory of Cosmology and Astrophysics College of Sciences Northeastern University Shenyang110819 China MOE Key Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University Shenyang110819 China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern University Shenyang110819 China

Primordial black holes (PBHs) are a major candidate for dark matter and they have been extensively constrained across most mass ranges. However, PBHs in the mass range of 1017 – 1021 g remain a viable explanation for all dark matter. In this work, we use observational data from the Hard X-ray Modulation Telescope (Insight-HXMT) to refine constraints on PBHs within the mass range of 1016 – 1018 g. Our analysis explores three scenarios: directly using observational data, incorporating the astrophysical background model (ABM), and employing the power-law spectrum with an exponential cutoff. Additionally, we also account for photon flux from positron annihilation due to Hawking radiation in our calculations. Our findings indicate that directly using observational data significantly tightens constraints on PBHs with masses above 1017 g, owing to Insight-HXMT’s exceptional sensitivity to hard X-rays. Incorporating the ABM further enhances the constraints by approximately 0.8 orders of magnitude. The exclusion limit for PBHs as dark matter extends to 8 × 1017 g, nearly doubling the current threshold. Moreover, extrapolating the energy limit with a power-law model improves constraints by approximately one order of magnitude compared to the ABM scenario. Copyright © 2024, The Authors. All rights reserved.

关键词： Dark Matter

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Leader-Following Consensus for Switched Uncertain Multi-agent Systems with Delay Time under Directed Topology

Leader-Following Consensus for Switched Uncertain Multi-agen...

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第42届中国控制会议

作者： Guangxu He Jun Zhao State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Key Laboratory of Data Analytics and Optimization for Smart Industry(Northeastern University) Ministry of Education College of Information Science and Engineering Northeastern University

The paper studies the leader-following consensus of the switched uncertain time-delay MASs under fixed directed communication *** the switching distributed controller and the minimum dwell time,the sufficient conditions in terms of matrix inequalities are obtained by L-K functional dependent on switching law to guarantee the leader-following consensus ***,an example is given to validate the effectiveness of the results.

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Prospects for cosmological research with the FAST array: 21-cm intensity mapping survey observation strategies

arXiv

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arXiv 2024年

作者： Pan, Jun-Da Wu, Peng-Ju Du, Guo-Hong Li, Yichao Zhang, Xin Liaoning Key Laboratory of Cosmology and Astrophysics College of Sciences Northeastern University Shenyang110819 China MOE Key Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University Shenyang110819 China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern University Shenyang110819 China

Precise cosmological measurements are essential for understanding the evolution of the universe and the nature of dark energy. The Five-hundred-meter Aperture Spherical Telescope (FAST), the most sensitive single-dish radio telescope, has the potential to provide the precise cosmological measurements through neutral hydrogen 21 cm intensity mapping sky survey. This paper primarily explores the potential of technological upgrades for FAST in cosmology. The most crucial upgrade begins with equipping FAST with a wide-band receiver (0 0) = 0.09 and σ(wa) = 0.33. Copyright © 2024, The Authors. All rights reserved.

关键词： Dark energy

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Geometry-aided Underwater 3D Mapping Using Side-scan Sonar

Geometry-aided Underwater 3D Mapping Using Side-scan Sonar

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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Yiqiao Yang Chenglin Pang Chengdong Wu Zheng Fang Faculty of Robot Science and Engineering Northeastern University Shenyang China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern University Shenyang China Key Laboratory of Data Analytics and Optimization for Smart Industry Ministry of Education Northeastern University Shenyang China

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

In recent years, the interest in underwater exploration with Autonomous Underwater Vehicles (AUVs) equipped with side-scan sonars (SSS) has grown considerably. However, state-of-the-art SSS Simultaneous Localization and Mapping (SLAM) systems encounter challenges in data association across large viewpoint changes. Additionally, these systems assume that the seabed is a flat surface, leading to significant mapping error in uneven underwater terrains. To address these challenges, we propose a framework that leverages the side-scan sonar geometry to facilitate data association and improve mapping accuracy. The framework begins with a preprocessing module that extracts feature points and provides initial estimates of the elevation angles of the landmarks. Then, a non-consecutive data association module applies epipolar line search to establish correspondences between the current and historical frames. Finally, the mapping module uses side-scan sonar bundle adjustment to recover the positions of the landmarks. The proposed method is evaluated using an underwater terraced fields dataset. Our method achieves over 90% matching rate and reduces the average mapping error from 3.799 to 0.134.

关键词： Geometry Bundle adjustment Autonomous underwater vehicles Simultaneous localization and mapping Accuracy Geometric modeling Feature extraction Side-scan sonar optimization Intelligent robots

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