检索结果-内蒙古大学图书馆

Acoustics, Speech, and Signal Processing Workshops (ICASSPW), IEEE International Conference on

作者： Yihong Gao Luteng Zhu Zhuoyang An Mingjie Shao Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong SAR China School of Information Science and Engineering Shandong University Qingdao China Computer School Beijing Information Science and Technology University Beijing China Key Laboratory of System and Control AMSS Chinese Academy of Sciences Beijing China

ISBN: (数字)9798331519315

ISBN: (纸本)9798331519322

The phase retrieval (PR) problem involves recovering a signal from amplitude-only measurements and has been extensively studied in various physical measurement and signal processing systems. Recently, there has been increasing interest in the quantized phase retrieval (QPR) problem, where the observed amplitude is quantized to binary values. The existing studies have focused on the noiseless case. In this paper, we address a robust QPR problem that accounts for both quantization and noise. We formulate the robust QPR problem using maximum-likelihood estimation (MLE), which results in a non-convex and challenging optimization problem due to the complexity of its likelihood function. To obtain a high-quality solution, we develop an expectation-maximization (EM) algorithm combined with the Wirtinger flow, allowing us to convert the problem into a more manageable form at each iteration. Our method is implemented on both randomly generated synthetic data and image reconstruction tasks. The results demonstrate that our approach significantly enhances signal recovery performance under the combined effects of quantization and noise. Additionally, the proposed method exhibits better runtime efficiency compared to existing approaches.

关键词： Maximum likelihood estimation Phase measurement Quantization (signal) Runtime Noise Signal processing algorithms Noise measurement Speech processing Optimization Synthetic data

来源：评论

学校读者我要写书评

暂无评论

RoboFold: A platform for Protein-folding Inspired Robot Swarms *

RoboFold: A platform for Protein-folding Inspired Robot Swar...

引用

WRC Symposium on Advanced Robotics and Automation (WRC SARA)

作者： Feng Zhang Yuping Gu Shuai Yuan Yongliang Yang School of Electrical and Control Engineering Shenyang Jianzhu University Shenyang Liaoning China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang Liaoning China School of Computer Science and Engineering and School of Electrical and Control Engineering Shenyang Jianzhu University Shenyang Liaoning China

Natural swarms have inspired various controlling algorithms for swarm robotics, while few of them were programmed in a similar way as the natural swarms. Defining a reliable programming method is still a daunting challenge in swarm robotics. In nature, the information of 3D protein structure is programmed in the sequence of amino acids of the protein. To mimic the programming method of protein folding, we present a platform for investigating protein-folding inspired programming method for robot swarms. This platform includes three parts: a vibration machine, protein-like robot sequences, and recording devices. The preliminary results presented here demonstrated the effectiveness of this platform and the feasibility of protein-folding inspired programming method for robot swarms.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A single-cell transcriptomic analysis of Neuroblastomas revealed a selective cGAS-STING pathway suppression in malignant cells

A single-cell transcriptomic analysis of Neuroblastomas reve...

引用

2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Sibilio, Pasquale Di Giulio, Stefano Funari, Alessio Paci, Paola Veschi, Veronica Giannini, Giuseppe Sapienza University of Rome Department of Computer Control and Management Engineering Rome Italy National Research Council Institute for Systems Analysis and Computer Science 'Antonio Ruberti' Rome Italy Sapienza University of Rome Department of Molecular Medicine Rome Italy Sapienza University of Rome Department of Translational and Precision Medicine Rome Italy Karolinska Institutet Stockholm17177 Sweden San Gallicano Dermatological Institute Irccs Microbiology and Virology Rome Italy Istituto Pasteur-Fondazione Cenci Bolognetti Rome Italy

ISBN: (纸本)9798350337488

Neuroblastoma is a disease of disordered development accounting for 15% of childhood cancer deaths. The "cold"immunophenotype frequently occurring of these tumors is likely to contribute to its aggressiveness and refractoriness to treatments, including immune checkpoint blockade, observed in high risk neuroblastoma. The mechanisms that contribute to the cold immunostate have not been elucidated, yet. However, recent studies have reported the involvement of MYCN amplification in reducing the immune infiltrate in high-risk Neuroblastoma tumors. Its action mainly concerns suppressed interferon responses and pro-inflammatory pathways. An important pathway deputed to the activation of type I interferon responses and pro-inflammatory cytokines release is the cyclic GMP-AMP synthase (cGAS) - stimulator of interferon genes (STING) cytosolic DNA sensing pathway. Recent preclinical studies suggest a promising therapeutic effect of cGAS-STING pathway reactivation in Neuroblastomas. However, very little is known about the regulation of the cGAS-STING pathway in Neuroblastoma malignant cells, and its relationship with the MYCN amplification state. To this end, we performed a single-cell transcriptomic analysis of primary human Neuroblastoma cells compared with their normal fetal and embryonic progenitors. The results of the high-resolution analysis of cGAS-STING pathway showed that Neuroblastomas malignant cells have a much lower expression of this pathway compared to normal progenitors and other cell phenotypes populating the tumor microenvironment, possibly acquiring an evolutionary advantage. Moreover, the cGAS-STING pathway anticorrelated with MYCN expression suggesting a putative regulatory mechanism of the STING pathway. © 2023 IEEE.

关键词： immunotherapy Neuroblastoma single-cell transcriptomic

来源：评论

学校读者我要写书评

暂无评论

Asynchronous Distributed Optimization via ADMM with Efficient Communication

arXiv

引用

arXiv 2023年

作者： Rikos, Apostolos I. Jiang, Wei Charalambous, Themistoklis Johansson, Karl H. Department of Electrical and Computer Engineering Division of Systems Engineering Boston University BostonMA02215 United States Hong Kong Hong Kong Department of Electrical and Computer Engineering School of Engineering University of Cyprus Nicosia1678 Cyprus Department of Electrical Engineering and Automation School of Electrical Engineering Aalto University Espoo Finland Division of Decision and Control Systems KTH Royal Institute of Technology StockholmSE-100 44 Sweden Digital Futures United Kingdom

In this paper, we focus on an asynchronous distributed optimization problem. In our problem, each node is endowed with a convex local cost function, and is able to communicate with its neighbors over a directed communication network. Furthermore, we assume that the communication channels between nodes have limited bandwidth, and each node suffers from processing delays. We present a distributed algorithm which combines the Alternating Direction Method of Multipliers (ADMM) strategy with a finite time quantized averaging algorithm. In our proposed algorithm, nodes exchange quantized valued messages and operate in an asynchronous fashion. More specifically, during every iteration of our algorithm each node (i) solves a local convex optimization problem (for the one of its primal variables), and (ii) utilizes a finite-time quantized averaging algorithm to obtain the value of the second primal variable (since the cost function for the second primal variable is not decomposable). We show that our algorithm converges to the optimal solution at a rate of O(1/k) (where k is the number of time steps) for the case where the local cost function of every node is convex and not-necessarily differentiable. Finally, we demonstrate the operational advantages of our algorithm against other algorithms from the literature. © 2023, CC BY.

关键词： Cost functions

来源：评论

学校读者我要写书评

暂无评论

Optimization of SMC-R control based Rotor Current using Bird Swarm Algorithm for the Distorted DFIG-WPS

Optimization of SMC-R Control based Rotor Current using Bird...

引用

2020 International Conference on computer, control, Electrical, and Electronics engineering, ICCCEEE 2020

作者： Alzain, Omar Busati Liu, Xiangjie Ali, Ayman North China Electric Power Univ. School of Control and Computer Eng. Beijing China International Univ. of Africa Department of Electrical Engineering Khartoum Sudan

ISBN: (纸本)9781728191119

This work offers developed control of the rotor outlet current relying on the online gains adaptation of Sliding Mode control (SMC) with resonant function regulator using discrete adapted Bird Swarm Optimization (ABSA) for the Doubly Fed Induction Generator (DFIG) based wind power system (WPS) during distorted main voltage. The resonant function involved in SMCR-ABSA handle (5th-and 7th-grade) harmonics on the quantities system with different regulation targets without an extra account for the harmonics items succession. The simulated SMCR-ABSA dynamic reaction computational analysis evinces that the ABSA algorithm gave highly preferential results mitigating the harmonic ratio associated with quantities compared to the reported SMCR-BAT, SMC, PI+R and PI controllers. Furthermore, the ABSA algorithm improved the global solutions search and convergence within 1e-2 tolerance range during iterations compared to ordinary BAT algorithm. © 2021 IEEE.

关键词： Birds

来源：评论

学校读者我要写书评

暂无评论

Feature learning of image for unsupervised texture segmentation 5

Feature learning of image for unsupervised texture segmentat...

引用

5th International Conference on Communication and Electronics Systems, ICCES 2020

作者： Vikhe, P.S. Rajput, M.P. Kadu, C.B. Mandhare, V.V. Department of Instrumentation & Control Engineering Department of Computer Engineering Pravara Rural Engineering College Loni MS413637 India

ISBN: (纸本)9781728153711

Segmentation in specific image class, texture feature extraction plays a vital role. But is time consuming and difficult, to develop novel technique to select features manually. Adapting features automatically for particular class of images, will be helpful and effective. Thus, proposed work contributes in texture segmentation, in absence of large learning datasets for learning features. Cost function is used to develop, learning process for matching segmentation model (Mumford Shah model). The feature learning provides essential piecewise image with constraint feature set of compact jump. It is based on convolution feature learning and segmentation performance respectively. It has been reflected, it is possible to learn features of image patch. The approach is effective and produces better texture segmentation for natural images. © 2020 IEEE.

关键词： Cost functions

来源：评论

学校读者我要写书评

暂无评论

Robust Event-Triggered control of Nonlinear Systems Under a Global Sector-Bound Condition

引用

Guidance, Navigation and control 2022年第2期2卷 59-79页

作者： Pengpeng Zhang Tengfei Liu Zhong-Ping Jiang Department of Control Science&Engineering Frontiers Science Center for Intelligent Autonomous SystemsTongji UniversityShanghai 201804P.R.China State Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyang 110819P.R.China Department of Electrical and Computer Engineering New York University370 Jay StreetBrooklynNY 11201USA

This paper studies an event-tniggered control problem for nonlinear systems subject to both external disturbancoes and dy namic *** is assumed that the system satisfies a global sector bound *** avold infnitely fast samplng,a novel eventriggred sampling mechanism is propoeed,which use8 not only the measuned system state but also an estimation of the inluence of the *** the propoeed design,the intersampling intervals an be lower bounded by a poeitive constant,and it is independent of botb external disturbances and dynamie ***,the doeedl loop event-tniggered system i proved to be input-torstate stable with repect to the extemal *** smalgain techmigues are;used for the stability analysis of the dloeeil-bop system.

关键词： Event-triggered control external disturbance dynamic uncertainty input-to-state stability

来源：评论

学校读者我要写书评

暂无评论

Publishing Social Graphs with Differential Privacy Guarantees Based on wPINQ

引用

Chinese Journal of Electronics 2019年第2期28卷 273-279页

作者： LI Xiaoye YANG Jing SUN Zhenlong ZHANG Jianpei College of Computer Science and Technology Harbin Engineering University College of Computer and Control Enginewaeering Qiqihar University

To publish social graphs with differential privacy guarantees for reproducing valuable results of scientific researches, we study a workflow for graph synthesis and propose an improved approach based on weighted Privacy integrated query(wPINQ). The workflow starts with a seed graph to fit the noisy degree sequence, which essentially is the 1K-graph. In view of the inaccurate assortativity coefficient, we truncate the workflow to replace the seed graph with an optimal one by doing target 1K-rewiring while preserving the 1K-distribution. Subsequently, Markov chain Monte Carlo employs the new seed graph as the initial state, and proceeds step by step guided by the information of Triangles by intersect to increase the number of triangles in the synthetic graphs. The experimental results show that the proposed algorithm achieves better performance for the published social graphs.

关键词： Differential privacy Social networks weighted Privacy integrated query(wPINQ) dK-graph model

来源：评论

学校读者我要写书评

暂无评论

A Hybrid Deep Learning Approach for Software Just-in-Time Defects Prediction

引用

International Journal of Network Security 2025年第3期27卷 476-486页

作者： Yu, Yingting Chen, Mingliang Zeng, Chuanhan Xie, Guoqiang Pan, Benren Cui, Liu Sun, Heyang Li, Yuancheng State Grid Jiangxi Electric Power Co. Ltd. Research Institute Jiangxi Province Nanchang330096 China Xi'an Jiaotong University Shaanxi Province Xi'an710049 China School of Control and Computer Engineering North China Electric Power University Changping District Beijing102206 China

To address the challenges of high maintenance costs, time-consuming processes, and delayed defect repairs in software projects, we introduce a Just-In-Time (JIT) Defect Prediction method tailored for software. Initially, we established an enriched code change metrics system. Building upon existing change metrics, we incorporated two novel dimensions—time and review—to mitigate errors and reduce data deviations during feature extraction. Recognizing the prevalent imbalance where defect-free samples in open-source software outweigh defective ones, we innovatively utilize the Boundary Equilibrium Generative Adversarial Networks (BEGAN) model. This strategy aims to produce synthetic defect data, rectifying the dataset imbalance. Concluding our methodology, we present the CBGRU model for JIT defect prediction. This model synergistically integrates the Convolutional Neural Network (CNN) for data properties and the Bidirectional Gated Recurrent Unit (BGRU) to capture temporal correlations within diverse data sets. Empirical evaluations across three open-source software platforms reveal that BEGAN surpasses conventional imbalance-handling techniques. Remarkably, our proposed CBGRU model enhances Precision by 17% and F-measure by 9.6% compared to prior methodologies. © (2025), (Femto Technique Co., Ltd.). All rights reserved.

关键词： Open source software

来源：评论

学校读者我要写书评

暂无评论

Continuous-Time LiDAR-Inertial-Vehicle Odometry Method with Lateral Acceleration Constraint

Continuous-Time LiDAR-Inertial-Vehicle Odometry Method with ...

引用

IEEE International Conference on Robotics and Automation (ICRA)

作者： Bin He Weichen Dai Zeyu Wan Hong Zhang Yu Zhang State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China School of Computer Science Hangzhou Dianzi University Hangzhou China Key Laboratory of Collaborative sensing and autonomous unmanned systems of Zhejiang Province Hangzhou China

In this paper, we propose a continuous-time-based LiDAR-inertial-vehicle odometry method, which can tightly fuse the data from Light Detection And Ranging (LiDAR), inertial measurement units (IMU), and vehicle measurements. The lateral acceleration constraint is further added to trajectory estimation to make the estimated trajectory follow the motion characteristics of vehicles. In addition, since vehicle model parameters vary with different motion conditions and tyre pressure, we estimate vehicle correction factors that rectify changes in vehicle model parameters online, and also analyze the observability of these vehicle correction factors. In experiments, the proposed method is evaluated and compared with state-of-the-art methods in the public dataset. The experimental results show that the proposed method achieves more accurate results in all sequences since we add additional sensor measurements and utilize the characteristic of vehicle motion to restrict the trajectory estimation. The ablation study also proved the effectiveness of continuous-time representation, online correction factor estimation, and incorporation of lateral acceleration constraint.

关键词：

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：