检索结果-内蒙古大学图书馆

20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

作者： Wang, Lingfei Li, Yuxin Li, Jin Liu, Wenjie Harbin Engineering University College of Intelligent Systems Science and Engineering Heilongjiang Province Harbin China Changzhou Institute of Technology School of Computer Information and Engineering Jiangsu Province Changzhou China

ISBN: (纸本)9798350320831

Currently, the amygdala is often treated as a single entity in research, which may overlook valuable information from each amygdala subregion. There have been few studies examining the amygdala at the voxel level. In this paper, we propose an amygdala voxel-based genetic correlation network to explore the relationship between the amygdala subregions and Alzheimer's disease (AD). We conducted GWAS analysis using data from the ADNI Database and combined Single nucleotide polymorphism (SNP) results highly correlated with AD with amygdala voxel-based imaging data to construct a genetic correlation network for the left and right amygdala. We used an improved label propagation algorithm to conduct a more thorough analysis of the network and explore the potential relationship between AD and the amygdala subregions at the voxel level. We verified the pathways found by this method using KEGG and GO analysis and found that they have a significant impact on the pathogenesis of AD. © 2023 IEEE.

关键词： Neurodegenerative diseases

来源：评论

学校读者我要写书评

暂无评论

Instruction Pre-Training: Language Models are Supervised Multitask Learners

Instruction Pre-Training: Language Models are Supervised Mul...

引用

2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024

作者： Cheng, Daixuan Gu, Yuxian Huang, Shaohan Bi, Junyu Huang, Minlie Wei, Furu Microsoft Research United States The CoAI Group DCST Institute for Artificial Intelligence State Key Lab of Intelligent Technology and Systems Beijing National Research Center for Information Science and Technology Tsinghua University China

ISBN: (纸本)9798891761643

Unsupervised multitask pre-training has been the critical method behind the recent success of language models (LMs). However, supervised multitask learning still holds significant promise, as scaling it in the post-training stage trends towards better generalization. In this paper, we explore supervised multitask pretraining by proposing Instruction Pre-Training, a framework that scalably augments massive raw corpora with instruction-response pairs to pre-train LMs. The instruction-response pairs are generated by an efficient instruction synthesizer built on open-source models. In our experiments, we synthesize 200M instruction-response pairs covering 40+ task categories to verify the effectiveness of Instruction Pre-Training. In pre-training from scratch, Instruction Pre-Training not only consistently enhances pre-trained base models but also benefits more from further instruction tuning. In continual pre-training, Instruction Pre-Training enables Llama3-8B to be comparable to or even outperform Llama3-70B. Our model, code, and data are available at https://***/microsoft/LMOps. © 2024 Association for Computational Linguistics.

关键词： Computational linguistics

来源：评论

学校读者我要写书评

暂无评论

A Robust SLAM For Highly Dynamic Environments 17

A Robust SLAM For Highly Dynamic Environments

引用

17th IEEE Conference on Industrial Electronics and Applications, ICIEA 2022

作者： Cai, Yuansong Wu, Shiqian Wuhan University of Science and Technology Institute of Robotics and Intelligent Systems School of Information Science and Engineering Wuhan China

ISBN: (纸本)9781665409841

Simultaneous Localization and Mapping(SLAM) has broad applications such as driverless cars and indoor service robots. The SLAM techniques usually assume that environments are static, and it is difficult to obtain good accuracy in highly dynamic scenes. In this paper, we adopt the semantic segmentation method to filter out dynamic points according to prior knowledge. To avoid tracking failure due to insufficient feature points, epipolar geometry is used to retain potential dynamic points as much as possible. The proposed method is implemented based on the classical SLAM framework ORBSLAM2 and carried out experiments on the TUM RGBD datasets. Compared with ORBSLAM2, the localization accuracy of this algorithm is improved by 95% in highly dynamic environments. © 2022 IEEE.

关键词： Semantic Segmentation

来源：评论

学校读者我要写书评

暂无评论

Adaptive Unscented Kalman Filter Algorithm for Multi-domain Command and Control information Transmission 1

引用

10th China Conference on Command and Control, C2 2022

作者： Song, Qingping Yu, Yue Science and Technology on Information Systems Engineering Laboratory Beijing Institute of Control and Electronic Technology Beijing100038 China

ISBN: (数字)9789811960529

ISBN: (纸本)9789811960512

This paper studies the carrier frequency tracking algorithm of multi-domain command and control transmission signal in low Carrier-Noise-Ratio (CNR) and high dynamic conditions. On the basis of analyzing the shortcomings of existing methods, a closed loop carrier frequency tracking algorithm of simplified adaptive unscented Kalman filter (AUKF) is presented. This new algorithm can not only avoid the errors due to linearization because of its good nonlinear processing capability, but also can eliminate the phase information of the phase shift keying (PSK) modulation. In addition, it is found that the new algorithm could estimate the measurement noise covariance and process noise covariance adaptively, so it is able to compensate the errors resulting from the change of the noise statistics. The simulations show that the simplified AUKF algorithm has a much smaller frequency estimation error than that of the UKF algorithm while keeping the convergence speed. Furthermore, the simplified AUKF algorithm has a lower computation complexity than the original AUKF algorithm. So it will have great significance on the information transmission of multi-domain command and control. © 2022, Chinese Institute of Command and Control.

关键词： Adaptive algorithms

来源：评论

学校读者我要写书评

暂无评论

Polyphenol-mediated interfacial deposition strategy for supported manganese oxide catalysts with excellent pollutant degradation performance

引用

Chinese Chemical Letters 2024年第5期35卷 493-498页

作者： Dong Cheng Youyou Feng Bingxi Feng Ke Wang Guoxin Song Gen Wang Xiaoli Cheng Yonghui Deng Jing Wei The Key Laboratory of Biomedical Information Engineering of Ministry of Education State Key Lab of Transducer TechnologySchool of Life Science and TechnologyXi’an Jiaotong UniversityXi’an 710049China School of Environmental and Municipal Engineering Xi’an University of Architecture and TechnologyXi’an 710055China Department of Chemistry State Key Laboratory of Molecular Engineering of PolymersState Key Laboratory of Transducer TechnologyFudan UniversityShanghai 200433China Key Laboratory of Functional Inorganic Material Chemistry Ministry of EducationSchool of Chemistry and Materials ScienceHeilongjiang UniversityHarbin 150080China

In persulfate-based advanced oxidation process(PS-AOPs),fixing nanosized metal oxide on processable substrates is highly desirable to avoid the aggregation and loss of nanocatalysts during the practical ***,it is still challenging to develop a versatile strategy for the deposition of metal oxide nanocatalysts on various substrates with different physicochemical ***,polyphenols are utilized as a“molecular glue”and reductant to mediate the interfacial deposition of MnO_(2) nanocatalysts on different ***_(2) nanocatalysts were in-situ grown on macroscope mineral substrates(e.g.,airstone)via an interfacial redox strategy between tannic acid(TA)and oxidized KMnO4,and then employed as a fixed catalyst of peroxymonosulfate(PMS)activation for treating pharmaceutical and personal care products(PPCPs)in *** fixed MnO_(2) exhibited superior catalytic performance toward different PPCPS via a singlet oxygen(^(1)O_(2))-dominated nonradical oxidation *** in the secondary effluent of wastewater treatment plants could be effectively removed by a fixed-bed column of the fixed MnO_(2) with long term *** cycle of Mn^(4+)/Mn^(3+)and surface hydroxyl group of the fixed MnO_(2) was proved to be responsible for the activation of *** work provides a new avenue for developing fixed metal oxides for sustainable water treatment.

关键词： Redox strategy Manganese oxides Fixed catalyst Peroxymonosulfate PPCPs

来源：评论

学校读者我要写书评

暂无评论

GAA-Enhanced UNet++ Model for Brain Tumor Segmentation 2

GAA-Enhanced UNet++ Model for Brain Tumor Segmentation

引用

2nd IEEE International Conference on Networking and Communications, ICNWC 2024

作者： Manigandan, S.K. Ramya, D. Vishnukumar, A. Velmurugan, J. Muthu, V. Vigneshwaran, K. Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College Department of Information Technology Chennai India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of Information Technology Chennai India Rajalakshmi Engineering College Department of Computer Science and Business Systems Chennai India Saveetha School of Engineering Department of Computer Science and Engineering Chennai India Panimalar Engineering College Department of AIML Chennai India

ISBN: (纸本)9798350365269

Advanced techniques in medical image segmentation often leverage deep learning methodologies. UNet and its variants plays a major role in image segmentation of medical images. UNet based networks have so many limitations that there needs an improvement in the segmentation performance. The proposed UNet++ architecture integrates dense skip connections and nested convolutions to enhance feature representation and improve accuracy of segmentation. Its superior performance and versatility make it a precious tool for assisting clinicians in detection of diseases and planning for treatment, ultimately improving patient outcomes in neuro-oncology. In this paper, the new method called GAAUNET++ (Gated Axial Attention UNet++) have been proposed with enhancements like 1. The inclusion of the Axial Attention gate aims to enhance performance while also capturing global features of the image. 2. Different metrics like precision, dice coefficient, recall and IoU have been used. The results shows that the proposed approach achieves finer performance in segmentation and accuracy also has been improved. © 2024 IEEE.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

Unmanned Aerial Vehicle Path Planning Based on DP-DDPG Algorithm

Unmanned Aerial Vehicle Path Planning Based on DP-DDPG Algor...

引用

2023 IEEE International Conference on Unmanned systems, ICUS 2023

作者： Wu, Xu Zhao, Zhongyuan Ge, Quanbo Luo, Zijuan College of Automation Nanjing University of Information Science and Technology NanJing China The 28th Research Institute of China Electronics Technology Group Corporation Key Laboratory of Information Systems Engineering Nanjing China

ISBN: (纸本)9798350316308

This paper proposes a DP-DDPG (Double-Prioritized Deep Deterministic Policy Gradient) path planning algorithm to address the issues of reward sparsity, convergence difficulty, and low success rate in solving complex environment-based UAV path planning tasks using the DDPG algorithm. Firstly, the state and action spaces of the deep reinforcement learning task are refined by constructing complex environmental models and UAV kinematic models. Secondly, a reward function is designed based on a combination of the artificial potential field method. Additionally, improvements are made to the structure of the experience replay pool and the quality of data exchange between the UAV and the environment. Finally, the DP-DDPG algorithm is applied to train the model. Experimental results show that, compared to the traditional DDPG algorithm, the DP-DDPG algorithm achieves faster convergence and improves the success rate of path planning by 30 %. © 2023 IEEE.

关键词： Motion planning

来源：评论

学校读者我要写书评

暂无评论

A Model for Predicting Chronic Kidney Diseases Based on Medical Data Using Reinforcement Learning

引用

SN Computer science 2024年第4期5卷 353页

作者： Nramban Kannan, Senthil Kumar Aseervatham, Joshi Moholkar, Kavita Palanimuthu, Mithun Marappan, Saranya Narendran, Muthusamy Sathar, Banu Sengan, Sudhakar Department of Computer Science & amp Department of Artificial Intelligence and Data Science Panimalar Engineering College Tamil Nadu Chennai 600123 India Department of Computer Science and Business Systems Engineering JSPM’S Rajarshi Shahu College of Engineering Savitribai Phule Pune University Pune 411033 India Department of Computer Science and Engineering St. Joseph’s Institute of Technology Tamil Nadu Chennai 600119 India Department of Information Technology Paavai Engineering College Tamil Nadu Namakkal 637018 India Department Information Technology KCG College of Technology Tamil Nadu Chennai 600097 India Department of Master of Computer Application T. J. Institute of Technology Chennai 600100 India Department of Computer Science and Engineering PSN College of Engineering and Technology Tamil Nadu Tirunelveli 627451 India

Kidney diseases (KD) are a global public health concern affecting millions. Early detection and prediction are crucial for effective treatment. Artificial intelligence (AI) techniques have been used in KDP to analyze past medical records, applying patients’ Electronic Medical Record (EHR) data. However, conventional statistical analysis methods conflict with fully comprehending the complexity of EHR data. AI algorithms have helped early KDP learn and identify complex data patterns. However, challenges include training heterogeneous historical data, protecting privacy and security, and developing monitoring system regulations. This study addresses the primary challenge of training heterogeneous datasets for real-world evaluation. Early detection and diagnosis of chronic kidney disease (CKD) is crucial for improved outcomes, reduced healthcare costs, and reliable treatment. Early treatments are crucial for CKD, as it often develops without apparent symptoms. Predictive models, particularly those using reinforcement learning (RL), can identify significant trends in complex healthcare information, which standard techniques may struggle with. The study makes KDP more accurate and reliable using RL methods on clinical data. This lets doctors find diseases earlier and treat them better by looking at static and changing health measurements. Machine learning (ML) algorithms can enhance the accuracy of AI systems over time, enhancing their effectiveness in detecting and diagnosing diseases. In the current investigation, the RL-ANN model is implemented for performing enforceable CKD by assessing the outcomes of multiple neural networks, which include FNN, RNN, and CNN, according to parameters such as accuracy, sensitivity, specificity, prediction error, prediction rate, and kidney failure rate (KFR). The recommended RL-ANN method has a lower failure rate of 70% based on the KFR data. Further, the proposed approach earned 95% in PR and 70% in analysis of errors. However, the RL

关键词： Alerting systems and diagnostic assistance Chronic kidney disease Machine learning Medical history RL-ANN

来源：评论

学校读者我要写书评

暂无评论

Supremal and Robust Control against Actuator Jamming Attacks in Cyber-Physical systems

IEEE Transactions on Intelligent Vehicles

引用

IEEE Transactions on Intelligent Vehicles 2023年第9期9卷 1-13页

作者： Duo, Wenli Wang, Shouguang Zhou, MengChu You, Dan Wisniewski, Remigiusz Bazydlo, Grzegorz Albeshri, Aiiad Institute of Systems Engineering Macau University of Science and Technology Macau China School of Information and Electronic Engineering Zhejiang Gongshang University Hangzhou China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA Institute of Control and Computation Engineering University of Zielona Góra Zielona Góra Poland Department of Computer Science King Abdulaziz University Jeddah Saudi Arabia

Cyber-physical systems, such as unmanned aerial vehicles and connected and autonomous vehicles, are vulnerable to cyber attacks, which can cause significant damage to society. This paper examines the attack issue in cyber-physical systems within the framework of discrete event systems. Specifically, we consider a scenario where a malicious intruder injects a jamming signal into an actuator channel. It disrupts the transmission of control commands and prevents an actuator from receiving them. This is termed an actuator jamming attack. In the paper, we first analyze the closed-loop system behavior under such an attack. An attack structure is constructed to illustrate how an intruder exploits a jamming attack to drive a system into unsafe states. Then, we study the supervisory control problem for a system exposed to such an attack. The problem is reduced to a basic supervisory control one in discrete event systems by introducing the concept of dynamically controllable language. A solution to this problem is explored, where we establish an existence condition for a supremal and robust supervisor that is capable of defending against actuator jamming attacks, and design an algorithm to derive it. Finally, the effectiveness of our method is illustrated by an intelligent automated guided vehicle system. IEEE

关键词： Discrete event simulation

来源：评论

学校读者我要写书评

暂无评论

Application of EEA in SoS Conceptual Design 10

Application of EEA in SoS Conceptual Design

引用

10th International Symposium on Project Management, ISPM 2022

作者： Chen, Xiaoqian Luo, Aimin Science and Technology on Information Systems Engineering Laboratory National University of Defense Technology Hunan Changsha410073 China

ISBN: (纸本)9781921712807

The system of systems (SoS) plays an increasingly important role in human life. Currently, most of SoS design approaches tend to assume a constant operating environment or simply ignore the impact of environment and time on the operation of the SoS, focusing the design on selecting component systems. Future environmental changes, however, will directly affect the performance of the SoS, and an 'ideal' SoS solution may not be able to fulfil its mission under certain future circumstances. The Epoch Era Analysis (EEA) is an analytical framework for scenario planning over the full life cycle of a system. With the support of the EEA method, environmental changes are modelled as epochs and eras, and the long-term performance of the SoS scheme could be evaluated by indicators such as Fuzzy Pareto Number (FPN) and Fuzzy Normalized Pareto Trace (FNPT). © Conference Proceedings of the 10th International Symposium on Project Management, China, ISPM 2022.

关键词： Conceptual design

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：