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4th Asia Conference on Information engineering, ACIE 2024

作者： Lv, Zirong China University of Geosciences Hubei Key Lab. of Adv. Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education School of Automation Wuhan China

ISBN: (纸本)9798350371925

Crop disease diagnosis is of great significance for crop yield and agricultural production. Deep learning methods have become a major research direction for solving crop disease diagnosis. However, recent studies have shown that deploying complex neural network models on mobile devices poses a significant challenge to mobile hardware performance. To address this issue, this paper proposes a lightweight network model based on the Transformer and deploys it on mobile devices. Compared to other lightweight network models, our approach significantly reduces computational complexity using Transformer modules and exhibits a particular advantage in recognition accuracy. It achieves a recognition rate of 97.76% for ten categories of tomato diseases, while the model size is only 3.86 MB. Furthermore, we deploy the model on embedded devices and apply it to tomato crop recognition, enabling farmers to monitor crop conditions in real-time and realizing smart agriculture. © 2024 IEEE.

关键词： Deep learning

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Local dominant orientation feature histograms (LDOFH) for face recognition

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Applied Informatics 2017年第1期4卷 1-10页

作者： Cui, Xinfang Zhou, Peng Yang, Wankou School of Automation Southeast University Nanjing China Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing China

This paper presents a simple and robust feature descriptor method, namely local dominant orientation feature histogram (LDOFH). In this method, the discriminant histogram contains dominant orientation, and the corresponding relative energy value is obtained by calculating the direction and the amplitude of the gradient of each pixel over a local patch. The LM-NNDA (Yang et al. in Pattern Recognit 44:1387–1402, 2011) method based on the principal component analysis (PCA) method is finally employed to reduce the redundancy information and get the low-dimensional and discriminative features. We apply this descriptor on AR, IMM face image databases. Experimental results demonstrate the effectiveness of the proposed LDOFH method.

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Modeling the throughput of IEEE 802.15.4 based wireless networks under interference

Modeling the throughput of IEEE 802.15.4 based wireless netw...

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Youth Academic Annual Conference of Chinese Association of Automation (YAC)

作者： Bing Han Xianghui Cao Hongbao Shi School of Automation and the Key Lab of Measurement and Control of Complex Systems of Engineering Southeast University Nanjing Jiangsu China

ISBN: (纸本)9781538629024

The IEEE 802.15.4 standard is the basis of many protocol suites such as ZigBee, WirelessHART and MiWi popular in Internet of Things systems, wireless sensor networks, and industrial wireless networks. In practice, due to its working bands are free to access, IEEE 802.15.4 based networks often suffer from interference which will deteriorate the network performance. In this paper, we model the interference as an on-off process and propose a new analytical model for IEEE 802.15.4 based networks which quantitatively characterizes how such interference affects the network throughput. We also conduct extensive simulations which demonstrate the accuracy of the model.

关键词： Interference IEEE 802.15 Standard Throughput Analytical models Data models Protocols Wireless networks

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On power allocation for jamming attack against wireless state estimation in cyber-physical systems

On power allocation for jamming attack against wireless stat...

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Youth Academic Annual Conference of Chinese Association of Automation (YAC)

作者： Hongbao Shi Xianghui Cao Lianghong Peng Changyin Sun School of Automation and the Key Lab of Measurement and Control of Complex Systems of Engineering Southeast University Nanjing Jiangsu China

ISBN: (纸本)9781509044245

Recently, the security issues of Cyber-Physical systems (CPS) have attracted considerable interest from both academic and industrial communities. Due to the open accessibility of wireless channels, wireless remote state estimation is vulnerable to various cyber attacks including jamming attacks with which adversaries can significantly impact the estimation performance by jamming the wireless communications. Moreover, by using higher power, the effect of jamming attack may be greater. In this paper, we consider remotely estimating the states of multiple systems and investigate the power allocation problem for the jamming attacker under its energy constraint. Through theoretical analysis, we show that, under a simple condition, the optimal power allocation scheme is to concentrate the attack power on one single system. Finally, numerical results are presented which validates the theoretical results.

关键词： Resource management Jamming Wireless communication State estimation Wireless sensor networks Estimation error

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Evolution of Cooperation in Snowdrift Game with Multi-Memory Mechanism 42

Evolution of Cooperation in Snowdrift Game with Multi-Memory...

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42nd Chinese control Conference, CCC 2023

作者： Liu, Yaojun Liu, Xingwen Tashi, Nyima College of Electrical Engineering Southwest Minzu University Lab. of Complex Systems & Intelligent Control Key Lab. of Electronic Information of State Ethnic Affairs Commission Sichuan Chengdu610225 China Engineering Research Center for Tibetan Information Processing School of Information Science and Technology Tibet University Lhasa850000 China

ISBN: (纸本)9789887581543

Cooperative behavior has been of great concern in evolutionary game researches because of its important role in social life and natural evolution. Since memory can greatly influence the emergence of cooperative behavior, memory-based research on evolutionary games has proliferated in recent years. In the present paper, inspired by the well-known 'Stanford marshmallow experiment' (SME), we proposed a multi-memory mechanism in Snowdrift game (SDG) on spatial lattice networks whose core lies in what follows: Players are divided into two groups according to individual self-control;different memory lengths are set by group and by time in a single realization. The simulation results show that our proposed mechanism promotes cooperation level of the considered evolutionary game. More specifically, as memory length increases to an intermediate length, the cooperation level increases as well. For mechanism with short memory length, the effect of population structure is obvious and small values of adjusting factor can intensively facilitate high-frequency cooperative behavior. These findings may be helpful to understand the connection between population heterogeneity and the emergence of high cooperation. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Behavioral research

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Sensor Integration for Person Tracking and Following with Mobile Robot

Sensor Integration for Person Tracking and Following with Mo...

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2008 IEEE/RSJ International Conference on Intelligent Robots and systems, Pages 3133-3660

作者： Xudong Ma Chunhua Hu Xianzhong Dai Kun Qian Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing Jiangsu Province China

ISBN: (纸本)9781424420575

The ability to detect and follow a specific person is a key prerequisite of service mobile robots in indoor environments. A novel method for tracking and following a specific person with a mobile robot by combining vision and laser range information is proposed. The vision module which integrates the color matching method using the Horizontal-Projecting Probability Histogram (HPPH) of upper body color clothes region with the Unscented Particle Filter (UPF) tracking method is developed and, at the same time, the laser module detects the pairs of legs to measure the distance from mobile robot. The information is integrated in a detection procedure that returns the direction and the distance of the target person. The proportional compensation method is utilized to enable the robot to follow the target person steadily. Experimental results validate the robust performance of the approach.

关键词： Mobile robots Persons tracking compensation method Robust control Leg

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A new method of illumination invariant face recognition

A new method of illumination invariant face recognition

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2nd International Conference on Innovative Computing, Information and control, ICICIC 2007

作者： Wang, Juanjuan Wu, Lifang He, Xiaoguang Tian, Jie School of Electronic Information and Control Engineering Beijing University of Technology Beijing 100022 China Key Lab. of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences P.O.Box 2728 Beijing 100080 China

ISBN: (纸本)0769528821

In this paper the Morphological Quotient Image (MQI) based on close and open operation are compared, and the more effective operation is chosen. Furthermore, the influence of template size to recognition rate is studied. For different size of face images, the optimal template is obtained by experiment using Yale Face Database B. The optimal template is tested using CMU-PIE database and the experimental result is encouraging. © 2007 IEEE.

关键词： Face recognition

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A hybrid algorithm of facial feature point location based on improved MR-ASM and AAM

A hybrid algorithm of facial feature point location based on...

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8th International Conference on Signal Processing, ICSP 2006

作者： Sicong, Zhang Lifang, Wu Xiaoguang, He Jie, Tian School of Electronic Information and Control Engineering Beijing University of Technology Beijing 100022 China Key Lab. of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences P.O.Box 2728 Beijing 100080 China

ISBN: (纸本)0780397371

Accurate and robust location of feature point is a difficult and complicated issue in face recognition. This paper proposes a facial feature point location algorithm based on improved Multi-Resolution- Active Shape Models (MR-ASM) and Active Appearance Models (AAM). There are three main achievements of our algorithm: 1, we unify MR-ASM and AAM together to improve facial feature point location. 2, AAM is improved so that it has the same implementation framework as ASM. 3, the MR-ASM is adjusted to figure out more robust parameters. Experimental results prove that our algorithm is more accurate than traditional MR-ASM. © 2006 IEEE.

关键词： Face recognition

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Reconstructing Groups of People with Hypergraph Relational Reasoning

Reconstructing Groups of People with Hypergraph Relational R...

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International Conference on Computer Vision (ICCV)

作者： Buzhen Huang Jingyi Ju Zhihao Li Yangang Wang Southeast University China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing China Huawei Noah’s Ark Lab

Due to the mutual occlusion, severe scale variation, and complex spatial distribution, the current multi-person mesh recovery methods cannot produce accurate absolute body poses and shapes in large-scale crowded scenes. To address the obstacles, we fully exploit crowd features for reconstructing groups of people from a monocular image. A novel hypergraph relational reasoning network is proposed to formulate the complex and high-order relation correlations among individuals and groups in the crowd. We first extract compact human features and location information from the original high-resolution image. By conducting the relational reasoning on the extracted individual features, the underlying crowd collectiveness and interaction relationship can provide additional group information for the reconstruction. Finally, the updated individual features and the localization information are used to regress human meshes in camera coordinates. To facilitate the network training, we further build pseudo ground-truth on two crowd datasets, which may also promote future research on pose estimation and human behavior understanding in crowded scenes. The experimental results show that our approach outperforms other baseline methods both in crowded and common scenarios. The code and datasets are publicly availab.e at https://***/boycehbz/GroupRec.

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CAPTURING THE MOTION OF EVERY JOINT: 3D HUMAN POSE AND SHAPE ESTIMATION WITH INDEPENDENT TOKENS

arXiv

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arXiv 2023年

作者： Yang, Sen Heng, Wen Liu, Gang Luo, Guozhong Yang, Wankou Yu, Gang School of Automation Southeast University China Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing China Tencent PCG

In this paper we present a novel method to estimate 3D human pose and shape from monocular videos. This task requires directly recovering pixel-alignment 3D human pose and body shape from monocular images or videos, which is challenging due to its inherent ambiguity. To improve precision, existing methods highly rely on the initialized mean pose and shape as prior estimates and parameter regression with an iterative error feedback manner. In addition, video-based approaches model the overall change over the image-level features to temporally enhance the single-frame feature, but fail to capture the rotational motion at the joint level, and cannot guarantee local temporal consistency. To address these issues, we propose a novel Transformer-based model with a design of independent tokens. First, we introduce three types of tokens independent of the image feature: joint rotation tokens, shape token, and camera token. By progressively interacting with image features through Transformer layers, these tokens learn to encode the prior knowledge of human 3D joint rotations, body shape, and position information from large-scale data, and are updated to estimate SMPL parameters conditioned on a given image. Second, benefiting from the proposed token-based representation, we further use a temporal model to focus on capturing the rotational temporal information of each joint, which is empirically conducive to preventing large jitters in local parts. Despite being conceptually simple, the proposed method attains superior performances on the 3DPW and Human3.6M datasets. Using ResNet-50 and Transformer architectures, it obtains 42.0 mm error on the PA-MPJPE metric of the challenging 3DPW, outperforming state-of-the-art counterparts by a large margin. Code will be publicly availab.e1 Copyright © 2023, The Authors. All rights reserved.

关键词： Iterative methods

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