检索结果-内蒙古大学图书馆

LOGCAN++: Adaptive Local-Global Class-Aware Network for Semantic Segmentation of Remote Sensing Images

IEEE Transactions on Geoscience and Remote Sensing 2025年 63卷

作者： Ma, Xiaowen Lian, Rongrong Wu, Zhenkai Guo, Hongbo Yang, Fan Ma, Mengting Wu, Sensen Du, Zhenhong Zhang, Wei Song, Siyang Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering Shanghai200030 China Zhejiang University School of Computer Science and Technology Hangzhou310027 China Zhejiang University School of Earth Sciences Hangzhou310027 China Zhejiang University School of Software Technology Hangzhou310027 China Zhejiang University Innovation Center of Yangtze River Delta Zhejiang Jiaxing314103 China University of Exeter HUBG Laboratory Department of Computer Science ExeterEX4 4PY United Kingdom

Remote sensing images are usually characterized by complex backgrounds, scale and orientation variations, and large intraclass variance. General semantic segmentation methods usually fail to fully investigate the above issues, and thus their performances on remote sensing image segmentation are limited. In this article, we propose our LOGCAN++, a semantic segmentation model customized for remote sensing images, which is made up of a global class-aware (GCA) module and several local class-aware (LCA) modules. The GCA module captures global representations for class-level context modeling to reduce the interference of background noise. The LCA module generates local class representations as intermediate perceptual elements to indirectly associate pixels with the global class representations, targeting dealing with the large intraclass variance problem. In particular, we introduce affine transformations in the LCA module for adaptive extraction of local class representations to effectively tolerate scale and orientation variations in remote sensing images. Extensive experiments on three benchmark datasets show that our LOGCAN++ outperforms current mainstream general and remote sensing semantic segmentation methods and achieves a better trade-off between speed and accuracy. © 1980-2012 IEEE.

关键词： Semantic Segmentation

来源：评论

学校读者我要写书评

暂无评论

Quantum Neural Network Compression

Quantum Neural Network Compression

引用

IEEE International Conference on computer-Aided Design

作者： Zhirui Hu Peiyan Dong Zhepeng Wang Youzuo Lin Yanzhi Wang Weiwen Jiang Electrical and Computer Engineering Department George Mason University Fairfax Virginia United States Quantum Science and Engineering Center George Mason University Fairfax Virginia United States Department of Electrical and Computer Engineering Northeastern University Boston MA United States Earth and Environmental Sciences Division Los Alamos National Laboratory NM United States

Model compression, such as pruning and quantization, has been widely applied to optimize neural networks on resource-limited classical devices. Recently, there are growing interest in variational quantum circuits (VQC), that is, a type of neural network on quantum computers (a.k.a., quantum neural networks). It is well known that the near-term quantum devices have high noise and limited resources (i.e., quantum bits, qubits); yet, how to compress quantum neural networks has not been thoroughly studied. One might think it is straightforward to apply the classical compression techniques to quantum scenarios. However, this paper reveals that there exist differences between the compression of quantum and classical neural networks. Based on our observations, we claim that the compilation/traspilation has to be involved in the compression process. On top of this, we propose the very first systematical framework, namely CompVQC, to compress quantum neural networks (QNNs). In CompVQC, the key component is a novel compression algorithm, which is based on the alternating direction method of multipliers (ADMM) approach. Experiments demonstrate the advantage of the CompVQC, reducing the circuit depth (almost over 2.5×) with a negligible accuracy drop (<1%), which outperforms other competitors. Another promising truth is our CompVQC can indeed promote the robustness of the QNN on the near-term noisy quantum devices.

关键词： Quantization (signal) Neural networks Qubit Neural network compression Machine learning Robustness Noise measurement

来源：评论

学校读者我要写书评

暂无评论

State Derivative Normalization for Continuous-Time Deep Neural Networks

arXiv

引用

arXiv 2024年

作者： Weigand, Jonas Beintema, Gerben I. Ulmen, Jonas Görges, Daniel Tóth, Roland Schoukens, Maarten Ruskowski, Martin Chair of Machine Tools and Control Systems RPTU Kaiserslautern The German Research Center for Artificial Intelligence Kaiserslautern Germany Group The Department of Electrical Engineering Eindhoven University of Technology Netherlands The Systems and Control Laboratory The Institute for Computer Science and Control Budapest Hungary Institute for Electromobility RPTU Kaiserslautern Germany

The importance of proper data normalization for deep neural networks is well known. However, in continuous-time state-space model estimation, it has been observed that improper normalization of either the hidden state or hidden state derivative of the model estimate, or even of the time interval can lead to numerical and optimization challenges with deep learning based methods. This results in a reduced model quality. In this contribution, we show that these three normalization tasks are inherently coupled. Due to the existence of this coupling, we propose a solution to all three normalization challenges by introducing a normalization constant at the state derivative level. We show that the appropriate choice of the normalization constant is related to the dynamics of the to-be-identified system and we derive multiple methods of obtaining an effective normalization constant. We compare and discuss all the normalization strategies on a benchmark problem based on experimental data from a cascaded tanks system and compare our results with other methods of the identification literature. © 2024, CC BY-SA.

关键词： Ordinary differential equations

来源：评论

学校读者我要写书评

暂无评论

Flat-band (de)localization emulated with a superconducting qubit array

arXiv

引用

arXiv 2024年

作者： Rosen, Ilan T. Muschinske, Sarah Barrett, Cora N. Rower, David A. Das, Rabindra Kim, David K. Niedzielski, Bethany M. Schuldt, Meghan Serniak, Kyle Schwartz, Mollie E. Yoder, Jonilyn L. Grover, Jeffrey A. Oliver, William D. Research Laboratory of Electronics Massachusetts Institute of Technology CambridgeMA02139 United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States Department of Physics Massachusetts Institute of Technology CambridgeMA02139 United States Lincoln Laboratory Massachusetts Institute of Technology LexingtonMA02421 United States

Arrays of coupled superconducting qubits are analog quantum simulators able to emulate a wide range of tight-binding models in parameter regimes that are difficult to access or adjust in natural materials. In this work, we use a superconducting qubit array to emulate a tight-binding model on the rhombic lattice, which features flat bands. Enabled by broad adjustability of the dispersion of the energy bands and of on-site disorder, we examine regimes where flat-band localization and Anderson localization compete. We observe disorder-induced localization for dispersive bands and disorder-induced delocalization for flat bands. Remarkably, we find a sudden transition between the two regimes and, in its vicinity, the semblance of quantum critical scaling. Copyright © 2024, The Authors. All rights reserved.

关键词： Qubits

来源：评论

学校读者我要写书评

暂无评论

MCDAL: Maximum Classifier Discrepancy for Active Learning

arXiv

引用

arXiv 2021年

作者： Cho, Jae Won Kim, Dong-Jin Jung, Yunjae Kweon, In So The Department of Electrical Engineering Korea Advanced Institute of Science and Technology Daejeon Korea Republic of The Electrical Engineering and Computer Science Department University of California BerkeleyCA United States

Recent state-of-the-art active learning methods have mostly leveraged Generative Adversarial Networks (GAN) for sample acquisition;however, GAN is usually known to suffer from instability and sensitivity to hyper-parameters. In contrast to these methods, we propose in this paper a novel active learning framework that we call Maximum Classifier Discrepancy for Active Learning (MCDAL) which takes the prediction discrepancies between multiple classifiers. In particular, we utilize two auxiliary classification layers that learn tighter decision boundaries by maximizing the discrepancies among them. Intuitively, the discrepancies in the auxiliary classification layers' predictions indicate the uncertainty in the prediction. In this regard, we propose a novel method to leverage the classifier discrepancies for the acquisition function for active learning. We also provide an interpretation of our idea in relation to existing GAN based active learning methods and domain adaptation frameworks. Moreover, we empirically demonstrate the utility of our approach where the performance of our approach exceeds the state-of-the-art methods on several image classification and semantic segmentation datasets in active learning setups. © 2021, CC BY.

关键词： Generative adversarial networks

来源：评论

学校读者我要写书评

暂无评论

HTCC SIW-Fed Broadband High-Gain Phased Array Antenna with Soft Surface Structure

HTCC SIW-Fed Broadband High-Gain Phased Array Antenna with S...

引用

IEEE MTT-S International Microwave Workshop Series on advanced Materials and Processes for RF and THz Applications (IMWS-AMP)

作者： Guo Yu Yafei Wu Yuhan Fan Zhongqian Niu Fan Xiong Xu Jie Cheng Wang Bo Zhang School of Photovoltaic Engineering Chongqing University of Posts and Telecommunications Chongqing China Chongqing Institute of Microelectronics Industry Technology UESTC Chongqing China Faculty of Electronic Science and Engineering University of Electronic Science and Technology of China Chengdu China Department of Electrical and Computer Engineering National University of Singapore Singapore National University of Defense Technology Changsha China Key Laboratory of Satellite Navigation Technology Changsha China

ISBN: (数字)9798331520717

ISBN: (纸本)9798331520724

Proposes a high-gain phased array antenna operating in mmW band based on the HTCC process. The array consists of a $1 \times 4$ antenna array with a dipole antenna fed by a substrate-integrated waveguide (SIW) as the unit. Improve antenna bandwidth by slotting the end of the SIW for impedance matching. Soft surface structures are introduced around the radiating structure of the antenna to suppress the surface wave effect, so that the antenna obtains a gain enhancement of 3.6 dBi, and finally the maximum gain of this antenna is 9.5 dBi. Simulation results show that the phased array antenna is capable of achieving a scanning range of ± 50° within the impedance bandwidth of 24.44 GHz to 30.22 GHz (with a relative bandwidth of 21.1%), and the maximum gain loss at the scanning angle of the antenna is less than 2 dBi.

关键词： Phased arrays Wireless communication Slot antennas Dipole antennas Impedance matching Bandwidth Surface structures Microwave antenna arrays Broadband antennas Substrates

来源：评论

学校读者我要写书评

暂无评论

Automatic Search for Photoacoustic Marker Using Automated Transrectal Ultrasound

arXiv

引用

arXiv 2023年

作者： Wu, Zijian Moradi, Hamid Yang, Shuojue Song, Hyunwoo Boctor, Emad M. Salcudean, Septimiu E. Johns Hopkins University Laboratory for Computational Sensing and Robotics BaltimoreMD United States University of British Columbia Dept. of Electrical and Computer Engineering VancouverBC Canada University of Texas at Austin Walker Department of Mechanical Engineering AustinTX United States Johns Hopkins University Dept. of Computer Science BaltimoreMD United States

Real-time transrectal ultrasound (TRUS) image guidance during robot-assisted laparoscopic radical prostatectomy has the potential to enhance surgery outcomes. Whether conventional or photoacoustic TRUS is used, the robotic system and the TRUS must be registered to each other. Accurate registration can be performed using photoacoustic (PA markers). However, this requires a manual search by an assistant [19]. This paper introduces the first automatic search for PA markers using a transrectal ultrasound robot. This effectively reduces the challenges associated with the da Vinci-TRUS registration. This paper investigated the performance of three search algorithms in simulation and experiment: Weighted Average (WA), Golden Section Search (GSS), and Ternary Search (TS). For validation, a surgical prostate scenario was mimicked and various ex vivo tissues were tested. As a result, the WA algorithm can achieve 0.53o ± 0.30o average error after 9 data acquisitions, while the TS and GSS algorithm can achieve 0.29° ± 0.31° and 0.48o ± 0.32o average errors after 28 data acquisitions. © 2023, CC BY.

关键词： Urology

来源：评论

学校读者我要写书评

暂无评论

A New IoT-Based Smart Greenhouse for Cultivation of Water Convolvulus

A New IoT-Based Smart Greenhouse for Cultivation of Water Co...

引用

13th International electrical engineering Congress, iEECON 2025

作者： Akkaraekthalin, Prayoot Somwong, Tanee Chudpooti, Nonchanutt Hirun, Nuttawut Meesomklin, Suwaluck King Mongkut's University of Technology North Bangkok Faculty of Engineering Department of Electrical and Computer Engineering Bangkok10800 Thailand Rajamangala University of Technology Suvarnabhumi Faculty of Engineering and Architecture Department of Electronic and Telecommunications Engineering Nonthaburi11000 Thailand King Mongkut's University of Technology North Bangkok Faculty of Applied Science Department of Industrial Physics and Medical Instrumentation Bangkok10800 Thailand King Mongkut's University of Technology North Bangkok College of Industrial Technology Department of Electronics Engineering Technology Bangkok10800 Thailand

ISBN: (纸本)9798331543952

This paper presents a new IOT system for monitoring and controlling plant cultivation in greenhouse system. The system aims to regulate and monitor the environmental conditions suitable for plant cultivation in real-time. The system utilizes sensors to measure environmental conditions, such as soil moisture sensor, light intensity sensor, temperature sensor, and air humidity sensor. The Node MCU ESP32 is used for processing and controlling these operations. The system is designed to send notifications through Line application and allows farmers to monitor the system's performance and plant growth in real-time via a smartphone application. It can utilize the Blynk IoT application on a smartphone for remotely monitoring and controlling the environmental conditions and provides historical data. This experiment demonstrates that the designed system can successfully cultivate plants and promote better growth compared to traditional cultivation methods with a 13.38% improvement. Additionally, it provides convenience and ease of management for plant cultivation. © 2025 IEEE.

关键词： greenhouse system IOT smart agriculture Smart farming water convolvulus

来源：评论

学校读者我要写书评

暂无评论

Propagation of electrical signals by fungi

arXiv

引用

arXiv 2023年

作者： Mayne, Richard Roberts, Nic Phillips, Neil Weerasekera, Roshan Adamatzky, Andrew Unconventional Computing Laboratory University of the West of England Bristol United Kingdom Mayne Bio Analytics Ltd. Cinderford United Kingdom Advanced Machinery and Productivity Institute University of Huddersfield Huddersfield United Kingdom School of Computer Science Electrical and Electronic Engineering and Engineering Maths University of Bristol Bristol United Kingdom

Living fungal mycelium networks are proven to have properties of memristors, capacitors and various sensors. To further progress our designs in fungal electronics we need to evaluate how electrical signals can be propagated through mycelium networks. We investigate the ability of mycelium-bound composites to convey electrical signals, thereby enabling the transmission of frequency-modulated information through mycelium networks. Mycelia were found to reliably transfer signals with a recoverable frequency comparable to the input, in the 100 Hz to 10 000 Hz frequency range. Mycelial adaptive responses, such as tissue repair, may result in fragile connections, however. While the mean amplitude of output signals was not reproducible among replicate experiments exposed to the same input frequency, the variance across groups was highly consistent. Our work is supported by NARX modelling through which an approximate transfer function was derived. These findings advance the state of the art of using mycelium-bound composites in analogue electronics and unconventional computing. Copyright © 2023, The Authors. All rights reserved.

关键词： Mycelium

来源：评论

学校读者我要写书评

暂无评论

Investigation of Positive Bias Temperature Instability in advanced FinFET nodes

Investigation of Positive Bias Temperature Instability in ad...

引用

Annual International Symposium on Reliability Physics

作者： Yongkang Xue Miaojia Yuan Yu Li Da Wang Maokun Wu Pengpeng Ren Lining Zhang Runsheng Wang Zhigang Ji Ru Huang National Key Laboratory of Advanced Micro and Nano Manufacture Technology Shanghai Jiao Tong University Shanghai China Department of Micro/Nano Electronics School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China School of Electronic and Computer Engineering Peking University Shenzhen China School of Integrated Circuits Peking University Beijing China

ISBN: (数字)9798350369762

ISBN: (纸本)9798350369779

PBTI in advanced FinFET nodes has been characterized and modelled by leveraging the efficient defect separation technology in this paper. Two types of traps are identified, including Type-B e1 and Type-B e2 , which can be well described by incorporating the activation state into the two-state NMP theory. Type-B e1 located in the IL layer and may originate from Vo or HB in SiO 2. Type-B e2 located in the HK layer but its physical origin is still unclear. The physical model of each type of traps is established and the predictive capability under DC&AC conditions, long-term reliability under low stress voltage and arbitrary waveform conditions are verified. Finally, by simplifying the physical model into a compact form and embedding it into commercial EDA software, the impact of PBTI on circuit performance is evaluated, and the safe operating voltage range of the circuit is analyzed, which provides guidance for designers to improve the reliability and life of the product.

关键词： Voltage Reliability theory Predictive models Reliability engineering FinFETs Software Software reliability

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：