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Blur-ASKNet: An Effective Network for Remote Sensing Image Classification Capturing Joint Features 4

Blur-ASKNet: An Effective Network for Remote Sensing Image C...

引用

4th international conference on Computer Vision, Image and Deep Learning, CVIDL 2023

作者： Liu, Tengfei Wang, Qi Hao, Guocheng School of Computer Science University of Geosciences Wuhan China China University of Geosciences Department of Automation Wuhan China China University of Geosciences Department of Communication Engineering China Wuhan China

ISBN: (纸本)9798350326444

Remote sensing image classification faces two major challenges: the intra-class variability and inter-class similarity. Consequently, it is more challenging for classification neural networks to extract discriminant features. While many studies have proposed solutions, they struggle to balance model performance with discriminant feature extraction. In this paper, we propose the Blur-ASKNet. the network can effectively capture both local and global features, referred to as joint features. the network employs blurpooling to handle intra-class variability, incorporates spatial and channel attention mechanisms for multiscale adaptive feature fusion, and introduces ASKM to extract joint features at both local and global levels. Additionally, it can be deployed on small and medium-sized systems to address inter-class similarity. We conducted comparative and ablation experiments on four typical remote sensing datasets to explore the differences between remote sensing and traditional images and evaluate individual modules of the proposed model. the model performance was subsequently measured. Experimental results demonstrate that the network achieved higher recognition accuracy than the state-of-the-art methods, while still maintaining acceptable complexity. © 2023 IEEE.

关键词： Remote sensing

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Salient Object Detection via Hybrid Encoder and Feature Feedback Fusion Mechanism 4

Salient Object Detection via Hybrid Encoder and Feature Feed...

引用

4th international conference on Computer Vision, Image and Deep Learning, CVIDL 2023

作者： Li, Xueliang School of Information and Control Engineering Qingdao University of Technology Qingdao266000 China

ISBN: (纸本)9798350326444

Deep encoder-decoder networks have been adopted for saliency detection and achieved the state-of-the-art performance. However, most existing saliency methods usually fail to process images with complex background and small objects. In this paper, we propose and apply a new method for saliency detection using hybrid encoder and feature feedback fusion mechanism. the proposed network architecture is composed of hybrid encoder based feature extraction module, feature feedback fusion mechanism based decoder module and multi observation point supervised learning module. In the feature extraction module, CNN encoder and transformer encoder are used to extract the local and global features of the image respectively. the decoder module optimizes the salient features of each layer by effectively fusing the visual features of the two layers or three layers. the multi observation point supervised learning module sets multiple observation points at each layer of the decoder, and each observation point considers the binary cross entropy loss and intersection over union loss. A large number of experimental results on five public data sets show that the method proposed in this paper is significantly better than other methods in different evaluation metrics. © 2023 IEEE.

关键词： Feature extraction

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FREE FROM BELLMAN COMPLETENESS: TRAJECTORY STITCHING VIA MODEL-BASED RETURN-CONDITIONED SUPERVISED LEARNING 12

FREE FROM BELLMAN COMPLETENESS: TRAJECTORY STITCHING VIA MOD...

引用

12th international conference on Learning Representations, ICLR 2024

作者： Zhou, Zhaoyi Zhu, Chuning Zhou, Runlong Cui, Qiwen Gupta, Abhishek Du, Simon S. Institute for Interdisciplinary Information Sciences Tsinghua University China Paul G. Allen School of Computer Science and Engineering University of Washington United States

Off-policy dynamic programming (DP) techniques such as Q-learning have proven to be important in sequential decision-making problems. In the presence of function approximation, however, these techniques often diverge due to the absence of Bellman completeness in the function classes considered, a crucial condition for the success of DP-based methods. In this paper, we show how off-policy learning techniques based on return-conditioned supervised learning (RCSL) are able to circumvent these challenges of Bellman completeness, converging under significantly more relaxed assumptions inherited from supervised learning. We prove there exists a natural environment in which if one uses two-layer multilayer perceptron as the function approximator, the layer width needs to grow linearly with the state space size to satisfy Bellman completeness while a constant layer width is enough for RCSL. these findings take a step towards explaining the superior empirical performance of RCSL methods compared to DP-based methods in environments with near-optimal datasets. Furthermore, in order to learn from sub-optimal datasets, we propose a simple framework called MBRCSL, granting RCSL methods the ability of dynamic programming to stitch together segments from distinct trajectories. MBRCSL leverages learned dynamics models and forward sampling to accomplish trajectory stitching while avoiding the need for Bellman completeness that plagues all dynamic programming algorithms. We propose both theoretical analysis and experimental evaluation to back these claims, outperforming state-of-the-art model-free and model-based offline RL algorithms across several simulated robotics problems. © 2024 12th international conference on Learning Representations, ICLR 2024. All rights reserved.

关键词： Supervised learning

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Extracting Behavior Events from Epidemic Daily Reports by Combining Deep Learning and Adversarial Training 4

Extracting Behavior Events from Epidemic Daily Reports by Co...

引用

4th international conference on Computer, Big Data and artificial Intelligence, ICCBD+AI 2023

作者： Lin, Shaofu Zhou, Shiwei Xu, Zhe Chen, Jianhui Faculty of Information Technology Beijing University of Technology Beijing China Beijing University of Technology Beijing International Collaboration Base on Brain Informatics and Wisdom Services Beijing China Beijing University of Technology Beijing Key Laboratory of Mri and Brain Informatics Beijing China Ministry of Education Engineering Research Center of Intelligent Perception and Autonomous Control Beijing China Ministry of Education Engineering Research Center of Digital Community Beijing China

ISBN: (纸本)9798350373233

Extracting emergencies from network information has become an important means of public security. However, existing event extraction methods rely on large-scale annotated corpora and are difficult to be effectively applied to extract epidemic behavior events, which is a brand-new task of event extraction. Firstly, an epidemic provenance model is defined to comprehensively model epidemic information in epidemic daily reports. On this basis, we propose an epidemic extraction model of epidemic behavior events, called CBEventMine, that combines deep learning and adversarial training. A relatively simple model structure of BiLSTM+CRF+sigmoid is adopted to achieve fast convergence of the model on small sample data, and an adversarial learning mechanism is added to alleviate the overfitting problem of the model in few-slot learning. the experimental results demonstrate that the proposed model CBEventMine could effectively extract epidemic event than the existing state-of-the-art methods. © 2023 IEEE.

关键词： Extraction

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Study on the temporal-spatial evolution process of axial preformed fragment power field 4

Study on the temporal-spatial evolution process of axial pre...

引用

4th international conference on Defence Technology, ICDT 2024

作者： Hao, Ruijie Yi, Jianya Guan, Siman School of Mechatronic Engineering North University of China Taiyuan030051 China

the temporal-spatial evolution process of fragment power field is the basis for calculating the state of fragment-target encounter and damage assessment. In order to accurately describe the temporal-spatial evolution process of the fragment power field of the axial preformed fragment warhead, the numerical simulation method is used to analyse the fragment dispersion characteristics of different warheads, and the fragment velocity attenuation model is established by programming. the numerical simulation results are used as the initial value to substitute into the model to obtain the temporal-spatial evolution process and the hitting target process of the fragment power field. the results show that the multi-layer fragments will collide many times under the action of detonation load, and the collision will lead to the decrease of the average velocity of the same fragment layer and the increase of the scattering angle. After increasing the number of fragments, the outer fragments are more concentrated, but the average velocity is significantly reduced, and the fragment miss rate increases. this study can provide a calculation basis for the state of fragment-target encounter and the static and dynamic explosion test of fragment warhead. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Explosion testing

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Commercial and Research-Based Wearable Devices in Spinal Postural Analysis: A Systematic Review 10th

Commercial and Research-Based Wearable Devices in Spinal P...

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10th EAI international conference on IoT Technologies for Health-Care, HealthyIoT 2023, and 4th EAI international conference on Wearables in Healthcare, HealthWear 2023

作者： Pourshahrokhi, Narges Sun, Yitong Asadipour, Ali Computer Science Research Centre Royal College of Art London United Kingdom

ISBN: (纸本)9783031719103

the widespread use of ubiquitous computing has led to people spending more time in front of screens, causing poor posture. the COVID-19 pandemic and the shift towards remote work have only worsened the situation, as many people are now working from home with inadequate ergonomics. Maintaining a healthy posture is crucial for both physical and mental health, and poor posture can result in spinal problems. Wearable systems have been developed to monitor posture and provide instant feedback. their goal is to improve posture over time by using these devices. this article will review commercially available, and research-based wearable devices used to analyse posture. the potential of these devices in the healthcare industry, particularly in preventing, monitoring, and treating spinal and musculoskeletal conditions, will also be discussed. the findings indicate that current devices can accurately assess posture in clinical settings, but further research is needed to validate the long-term effectiveness of these technologies and to improve their practicality for commercial use. © ICST Institute for Computer sciences, Social Informatics and Telecommunications engineering 2024.

关键词： Ergonomics

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Research and Development of Reducer Virtual Simulation System Based on Mixed Reality (MR) Technology 4

Research and Development of Reducer Virtual Simulation Syste...

引用

4th international conference on Applied Mathematics, Modeling and Computer Simulation, AMMCS 2024

作者： Liang, Feng Liu, Junying College of Mechanical and Electrical Engineering Heyuan Polytechnic GuangDong HeYuan517000 China

ISBN: (纸本)9781643685519

In order to improve learning pleasure and save teaching costs, this paper uses MR technology to research and develop the virtual simulation system of reducer. Take the primary reducer and the secondary reducer as the development prototype of the simulation system, use 3ds-max software to create and render the model at 1:1 scale, use Photoshop software to edit the reducer map and other effects, select Unity 3D software as the mixed reality development platform, and use C # language programming to realize the animation and interactive functions of the simulation system. the reducer virtual simulation system developed in this paper has five modules and functions: structure introduction, model observation, model sectioning, disassembly and assembly process, and working principle. the application of this system can improve students' learning pleasure and practical ability, and save the teaching cost waste caused by purchasing multiple reducers. © 2024 the Authors.

关键词： Virtual environments

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Analysis and Comparison of Symmetric Key Cryptographic Algorithms on FPGA 4

Analysis and Comparison of Symmetric Key Cryptographic Algor...

引用

4th international conference on Smart Systems and Inventive Technology, ICSSIT 2022

作者： Anusha, R. Shankari, N. Shetty, Vaishnavi S. Srikanth Bhat, K. Dept. of Electronics and Communication Engineering NMAM Institute of Technology Nitte India Dept. of Information Science and Engineering NMAM Institute of Technology Nitte India

ISBN: (纸本)9781665401180

Data security is considered as one of the prime concern for every communication systems. Cryptography has come up as a resolution which plays a dynamic role in data security against various data attacks. the cryptography is most significant feature of communications security and becoming an vital building block for network security. this security mechanism uses some algorithms to convert readable data into unreadable data text which can be only accessed by intended receiver. In this paper the implementation of some algorithms is done such as Triple Data Encryption Standard (TDES), international Data Encryption Algorithm (IDEA), Data Encryption Standard (DES) and Blowfish algorithm block ciphers for encryption as well as decryption process using Xilinx 14.5 tool in Verilog as programming language and comparison of algorithms is carried out with performance parameters such as area utilization, power consumption, encryption and decryption time using Spartan6 FPGA device. © 2022 IEEE

关键词： Cryptography

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Research on Distribution Network Planning with Distributed Generation Considering Line Margin 4

Research on Distribution Network Planning with Distributed G...

引用

4th international conference on Advanced Electrical and Energy Systems, AEES 2023

作者： Gao, Liping She, Yanjie Zhu, Lili Zhang, Jiangtao Wang, Jing Xu, Wentao Cai, Pengcheng Mi, Yang State Grid Luoyang Power Supply Company Henan China Shanghai Ocean University School of Information Shanghai China Shanghai University of Electric Power College of Electrical Engineering Shanghai China

ISBN: (纸本)9798350342659

the current planning for large-scale photovoltaic integration into the distribution network needs to balance electricity and transmission capacity, and the strategy of energy storage distribution network joint planning has emerged. Firstly, a line margin index is established as the evaluation basis for the transmission capacity of distribution network lines. Furthermore, a bi-level programming model was constructed that comprehensively considers economic costs and line transmission capacity. Collaborative planning was carried out for energy storage systems and distribution network lines, and the model was transformed from a two-layer model to a single-level model to solve the problem, reducing the difficulty of solving the model. Finally, a numerical example was compared between the collaborative planning strategy and other methods. From the simulation results, it can be seen that the proposed strategy not only has certain economic benefits in planning the expansion direction of the grid line and determining the energy storage capacity, but also has higher grid line margin and higher security in the proposed planning scheme. © 2023 IEEE.

关键词： Distributed power generation

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Realization of Virtual Laboratory Application and Prototype for a Mechatronic Mechanism with Arduino Uno Board Programmed for a Customized Security Application 4th

Realization of Virtual Laboratory Application and Prototype ...

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4th international conference on Reliable Systems engineering, ICoRSE 2024

作者： Munteanu, Iulian Sorin Ungureanu, Liviu Marian Petrescu, Cristian Badea, Florentina Apostolescu, Tudor-Catalin Văleanu, Dana Mirela National University of Science and Technology Politehnica 313 Splaiul Independentei Bucharest Romania National Institute of Research-Development in Mechatronics and Measurement Technique - INCDMTM Bucharest Sos. Pantelimon 6-8 sector 2 Bucharest021631 Romania Titu Maiorescu University Corp M 189 Calea Vacaresti Bucharest0400511 Romania

ISBN: (纸本)9783031706691

In this work, the modeling and simulation of a mechatronic mechanism with the Arduino UNO board that ensures the security of a box of goods, through the virtual application TINKERCAD, was carried out. For the modeling and simulation of this mechatronic assembly with the ARDUINO UNO board, the necessary optimal electronic components were chosen, they were assembled virtually, and an optimized programming code was written, necessary for good operation. the objective solved by modeling and simulation with the TINKERCAD application was completed by making a first improved prototype once the functional tests were carried out, resulting in an innovative, compact and ingenious gadget for securing goods. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Virtual prototyping

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