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An AI based System for Smart Detection of Leaf Diseases using Machine Learning Techniques 10

An AI based System for Smart Detection of Leaf Diseases usin...

引用

10th international conference on Communication and signal Processing, ICCSP 2024

作者： Sharmila, S. Jeyalakshmi, V. Anna University College of Engineering Chennai600025 India Anna University College of Engineering Department of Electronics and Communications Engineering Chennai600025 India

ISBN: (纸本)9798350353068

An internet of things is a system of connecting various smart devices which are able to gather and transfer data over the network. The expansion of internet of Things can be used in smart agriculture to boost the quality and quantity of the crop. Leaf disease prediction is an essential step used in agriculture for screening early diagnosis of disease and provide pesticide at early stage, it is an application used for indoor plantation or terrace gardening users. By using AI and IOT technology, we can able to create a digital system for agriculture which can help the users to take right decision on correct situation in advance. Here, we proposed a system which helps to recognize the leaf disease. In this work, the Mobile camera interface is used to cover the effective leaf image. Quality of the image is improved by Digital image processing techniques using MATLAB. The temperature and soil moisture sensor are placed at various location, which helps to identify the dryness of leaf and for monitoring the soil quality respectively. ARDUINO is a controller device which helps to control those sensors. This system can robotically sense leaf disease at early stage as well as it provides required pesticide to the user through Mobile App. This project is to engage AI and IOT technology in agriculture for more accuracy in detection of leaf disease at early stage. © 2024 IEEE.

关键词： internet of things

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Bleeding Segmentation based on a Bleeding Feature Engagement Module in Wireless Capsule Endoscopy 17

Bleeding Segmentation Based on a Bleeding Feature Engagement...

引用

17th international conference on signal-image technology and internet-based systems, SITIS 2023

作者： Garbaz, Anass Charfi, Said Ansari, Mohamed El Koutti, Lahcen Salihoun, Mouna Ibn Zohr University LabSIV Department of Computer Science Faculty of Sciences Agadir Morocco My Ismail University Informatics and Applications Laboratory Department of Computer Science Faculty of Sciences Meknes Morocco Mohammed v University Faculty of Medicine and Pharmacy of Rabat Rabat Morocco

ISBN: (纸本)9798350370911

The capacity to visualize the gastrointestinal tract has been transformed by the diagnostic technique known as Wireless Capsule Endoscopy (WCE). Due to the enormous number of images produced, however, the time required to analyze these frames is relatively expensive. Rapider clinical treatments may be made possible by the computerized identification of abnormalities in these images. In this research, a U-Net model customized with a Bleeding Feature Engagement (BFE) module is suggested for bleeding segmentation in WCE images to decrease the strain on the physician. Every skip connection leverages the BFE module to create distinct bleeding borders. It is an inception-based structure that employs three various convolution layer types to produce a range of decoder feature sets. Comparing the suggested system to cutting-edge methods, its results demonstrate the best segmentation performance. On an openly available bleeding WCE dataset, the proposed model additionally provided dice scores of $\mathbf{9 1. 7 6 \%}$ and intersection over union (IoU) of 84.79%. © 2023 IEEE.

关键词： Endoscopy

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Intelligent Reflecting Surfaces assisted Laser-based Optical Wireless Communication Networks 24

Intelligent Reflecting Surfaces assisted Laser-based Optical...

引用

24th international conference on Transparent Optical Networks (ICTON)

作者： Hamad, Ahrar N. Ncube, Walter Zibusiso Qidan, Ahmad Adnan El-Gorashi, Taisir E. H. Elmirghani, Jaafar M. H. Kings Coll London Dept Engn London England

ISBN: (纸本)9798350377330;9798350377323

Optical wireless communication (OWC) emerges as a complementary technology to radio frequency (RF) systems that can support high aggregate data rates. However, OWC systems face some challenges including beam blockage. To address this challenge, intelligent reflecting surfaces (IRSs) technology is proposed to offer alternative pathways for the optical signal and ensuring continuous signal connectivity. This work investigates the potential of using IRS in an indoor OWC network. A system model for indoor OWC is considered that integrates IRS in conjunction with an angle diversity transmitter (ADT) using vertical-cavity surface-emitting laser (VCSEL) arrays. Despite the narrow and directed nature of the VCSEL beam, which is prone to blockages, it can deliver high data rates under eye safety regulations. The performance of the IRS-assisted OWC system is evaluated in terms of sum rate. Simulation results demonstrate that integrating IRS can significantly improve the achievable sum rate of Laser-based OWC systems.

关键词： optical wireless communication intelligent reflecting surfaces ADT VCSELs

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From Blackboards to Byteboards: Adapting to the Digital Age in Undergraduate Education on Campus 17

From Blackboards to Byteboards: Adapting to the Digital Age ...

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17th international conference on signal-image technology and internet-based systems, SITIS 2023

作者： Anannya, Tasmiah Tamzid Mahmud, Sharifa Rania Khan, Shahriar Rahman Zaman, Syed Rohit Jalal, Md. Shah Sharmin, Sadia Bangladesh University of Engineering and Technology Department of Computer Science and Engineering Bangladesh Military Institute of Science and Technology Department of Computer Science and Engineering Bangladesh American International University Department of Computer Science Bangladesh

ISBN: (纸本)9798350370911

In the current educational landscape, maintaining student engagement is a persistent challenge. This paper addresses this issue and investigates the potential of attention engineering as a solution to enhance engagement among undergraduate students. The main goal is to investigate the use of attention engineering techniques in undergraduate education to find effective methods and measure their impact on student engagement and academic performance. This research conducts a thorough literature review to assess the feasibility and effectiveness of these techniques in undergraduate classrooms, exploring the utilization of personalized content, interactive tools, and data-driven insights to maintain student attention. To improve attention and learning, several technology tools, and strategies such as online videos and tutorials, interactive multimedia content, gamification, flipped learning, social network tools, and Learning Management systems (LMS) are studied. This research addresses three key research questions, the impact of technology integration and interactive activities on student engagement and comprehension, effective technology-based tools for learning environments, and the influence of attention-centric teaching strategies on student learning outcomes. This research identifies focused technologies and approaches, as well as the country attaining and the most utilized technology from current works. Our research has also proposed some findings that offer valuable guidance for educators and institutions seeking to optimize teaching methods and ultimately improve the learning experience in undergraduate education. © 2023 IEEE.

关键词： Students

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Method for Selecting Defense Strategy of Moving Targets based on signal Game in Industrial internet 6

Method for Selecting Defense Strategy of Moving Targets Base...

引用

6th international conference on Computer Information Science and Application technology, CISAT 2023

作者： Yin, Mingxuan Gao, Chenguang Tianjin University of Technology School of Science and Engineering Tianjin China

ISBN: (纸本)9781510668546

In recent years, more and more computer technology has been applied in industrial internet, the vulnerability and security risk of industrial control systems are gradually increasing. network security issues have received much attention. To address the complex attacks and relatively poor deployable defense resources in the Industrial internet, this paper combines industrial internet attacks with signal game theory, proposes a moving target defense strategy selection method. The SDN-based industrial internet attack and defense model is established, the core decision module and the moving target defense module are introduced to select and implement the best defense strategy respectively, so that the industrial internet can achieve the best security defense strategy. The simulation results show that the moving target defense strategy selection method based on the signal game can effectively improve the defender's gain and achieve the best defense against network attacks under the industrial internet. © 2023 SPIE.

关键词： Game theory

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Restoration of Distorted Laser-Spot image based on Generative Adversarial Networks 13

Restoration of Distorted Laser-Spot Image based on Generativ...

引用

13th IEEE international conference on Communications, Circuits and systems (ICCCAS)

作者： Diao, Shuiqiu Li, Jianjun Zhang, Rui Wen, Feng Wu, Baojian Qiu, Kun Univ Elect Sci & Technol China Sch Informat & Commun Engn Key Lab Opt Fiber Sensing & Commun Minist Educ Chengdu Peoples R China

ISBN: (纸本)9798350386288;9798350386271

We introduce the generative adversarial networks (GANs) into the application of the free-space laser communication, performing the laser-spot image restoration with the computer-vision method. After the training of our model is completed, the average Pearson correlation coefficient, average peak signal-to-noise ratio and mean-square-error of the generated restored laser spot image reach 0.964, 27.713dB and 0.003, respectively. According to the numerical results, the GAN method could effectively resist the interference of atmospheric turbulence, and accurately restore the amplitude distribution of the laser captured from the free-space channel.

关键词： laser spot image restoration deep learning

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Trajectory Prediction in Autonomous Driving with Vision-based Deep Neural Networks 17

Trajectory Prediction in Autonomous Driving with Vision-base...

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17th international conference on signal-image technology and internet-based systems, SITIS 2023

作者： Singh, Vinay Kaur, Simran Jot Shanckin, Shyam Thapar Institute of Engineering and Technology Department of Computer Science and Engineering Patiala India Hindustan Institute of Technology and Science Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350370911

Vision-based deep neural networks are crucial components for autonomous driving in terms of visual understanding and decision making. These models need to be temporally consistent and visually interpretable. Most recent works focus on using static images for understanding visual semantics, ignoring the temporal consistency of driving conditions;or adopt end to-end architectures for learning the pilot networks, providing limited interpretability. In this paper, we raise the question of can we predict other traffic participant's future trajectory given previous egomotion visual input? The proposed system stems from the issue of human driver reaction time in the autonomous driving context. Our dual-staged model firstly applies modern convolutional object detectors for spotting traffic participants (i.e., cars in this paper) and robustly tracks the targets of interest. Then, a novel SEG-LSTM network is incorporated to fuse the multiple-streams from past frames and then predict targets' future trajectories. We demonstrate the feasibility of predicting future trajectories of vehicles for assisting mediated perception. We also show the effectiveness of combining various levels of abstractions (e.g., scene semantics, detection bounding boxes) further boost the prediction accuracy across diverse traffic conditions. © 2023 IEEE.

关键词： Trajectories

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Research on deep learning-based channel estimation algorithm in 5G high-speed mobile scenario

Research on deep learning-based channel estimation algorithm...

引用

2024 international conference on signal Processing and Communication Security, ICSPCS 2024

作者： Teng, Wang Jie, Chen Honghe Vocational and Technical College Mengzi Yunnan661199 China

ISBN: (纸本)9781510681699

In the high-speed mobile environment supported by the fifth-generation mobile communication technology, higher vehicle speeds, more frequent switching and wider bandwidth make the design of high-speed mobile communication systems more challenging. High-quality wireless communication technology is needed to support future high-speed mobile scenarios to achieve low-latency and highly reliable communication, among which anti-Doppler frequency shift technology is the key. based on this, this paper proposes a Rayleigh channel estimation algorithm based on image super-resolution (SR) network. This method models the channel response matrix obtained by the LS method as a two-dimensional image, uses the SR network and image restoration (image restoration, IR) technology for learning optimization, and obtains the channel response at the unknown symbol. The simulation results show that the proposed algorithm is significantly better than the traditional Linear Minimum Mean Square Error (LMMSE) method. Compared with other SR-based channel estimation algorithms under low signal to Noise Ratio (SNR), it has a 3dB gain and a 5dB gain under high SNR. © 2024 SPIE.

关键词： image reconstruction

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3D Lorenz chaotic map to 4D hyperchaos: A comparison based on image encryption 4

3D Lorenz chaotic map to 4D hyperchaos: A comparison based o...

引用

4th international conference on Emerging systems and Intelligent Computing, ESIC 2024

作者： Das, Banhi Dutta Choudhuri Saha, Arijit Sanyal, Somali Sikder B.P Poddar Institute of Managementand Technology Department of Ece Kolkata India DumDum Motijheel Rabindra Mahavidyalaya Kolkata India

ISBN: (纸本)9798350349856

internet is playing a major role in the modern era of faster communication. Information communicated over internet must be secured with robust encryption scheme to assure confidentiality. Encryption schemes using chaotic maps provide high level of security to transmitted information. Robustness of cryptographic technique further improves with application of hyperchaos rather than lower dimensional chaotic maps. In this communication we have studied comparison between image encryption techniques developed based on 3D Lorenz chaotic system and 4D hyperchaos. Performance analysis of both the techniques are compared based on various parameters like key sensitivity analysis, key space analysis, histogram analysis, calculation of information entropy and correlation coefficients. © 2024 IEEE.

关键词： Sensitivity analysis

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VAMP-based Channel Estimation for Wideband Beamspace Massive MIMO systems 16

VAMP-Based Channel Estimation for Wideband Beamspace Massive...

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16th international conference on signal Processing systems, ICSPS 2024

作者： Nie, Yang Jing, Lili School of Physics and Electronic Information Engineering Jining Normal University Ulanqab012000 China Institute of Intelligent Signal Processing Jining Normal University Ulanqab012000 China

ISBN: (纸本)9781510689251

Millimeter-wave (mmWave) Massive multiple-input multiple-output (Massive MIMO) communication can provide high-speed network services for emerging application scenarios due to the abundant spectrum resources in the high-frequency band, which has emerged as a key technology for future wireless networks. Beamspace Massive MIMO systems equipped with lensed antenna arrays (LAA) have attracted considerable attention from industry and academic since it is an effective solution with low power and low cost. However, the beam squint effect causes beamspace channel estimation to be significantly complicated in wideband beamspace Massive MIMO systems. To address this problem, we investigate a channel estimator based on the vector approximate message passing (VAMP) algorithm to improve the estimation performance. Specifically, the wideband beamspace channel estimation is firstly considered as the two-dimensional (2D) image reconstruction problem. Subsequently, by the VAMP-based scheme, the 2D natural image is accurately sparse reconstructed from noisy linear measurements, which effectively solve the channel estimation problem. Simulation results verify the effectiveness of the proposed method and highlight its excellent performance in terms of the channel estimation. © 2025 SPIE.

关键词： Channel estimation

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