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An Effective Disease Detection Analysis on Rice Leaves Using Hybrid MCSVM-DNN Predictor Architecture

Remote Sensing in Earth Systems sciences 2024年第1期8卷 84-97页

作者： Senthil, R. Khatwal, Ravi Department of Computer Science and Engineering Sangam University Rajasthan Bhilwara India

Rice plant diseases significantly threaten global food security by affecting various growth stages. Timely and accurate prediction is vital for implementing control measures to mitigate yield losses. Traditional deep neural network (DNN) models, however, struggle to provide reliable predictions for rice plant diseases due to their complex and diverse symptoms. In this study, we introduce a novel Hybrid Multi-Class Support Vector Machine-Deep Neural Network (MCSVM-DNN) framework, which accurately classifies diseases based on symptoms observed at each rice plant stage. The hybrid MCSVM-DNN predictor architecture combines the strengths of MCSVM, which optimizes features after training with enough rice images at each stage, and DNN, which supports dynamic updating of extracted features. This combination results in a robust and efficient disease prediction system. We evaluate our model’s performance using a comprehensive dataset of rice leaf images from various disease types and growth stages, sourced from the freely available Kaggle online resource. Our hybrid MCSVM-DNN predictor demonstrates superior performance with higher recall, precision, F1-score, and accuracy values compared to existing DNN-based rice plant disease prediction models. Overall, the proposed architecture significantly improves disease prediction accuracy and reliability, contributing to global food security and sustainable agriculture. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： And Sheath rot) Bacterial blight Blast Disease prediction DNN JADE optimization K-means clustering Rice leaf diseases (Brown spot SVM classifier

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Carrier Frequency Offset Compensation for OSDM in Underwater Acoustic Communications: Theory and Experiments Using a Vector MIMO Modem 59

Carrier Frequency Offset Compensation for OSDM in Underwater...

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59th Annual Conference on Information sciences and Systems, CISS 2025

作者： Qi, Zhuoran Rashid, Rami Abdi, Ali Pompili, Dario Rutgers University Department of Electrical and Computer Engineering New BrunswickNJ United States New Jersey Institute of Technology Department of Electrical and Computer Engineering NewarkNJ United States

ISBN: (纸本)9798331513269

Underwater acoustic communications suffer from time-varying multipath delay and different Doppler frequency offsets at different paths. To address these issues, a Carrier Frequency Offset Compensated Orthogonal Signal Division Multiplexing (CFO-C-OSDM) is proposed based on the basis expansion model for the time-varying channel. The CFO-C-OSDM method performs CFO compensation and channel estimation jointly, which manages a dynamic Doppler shift range characterized by a nonzero main CFO and residual CFOs caused by multipath propagation effectively. To validate the efficacy of this proposal, several rounds of emulations and experiments were conducted. The results show that the proposed CFO-C-OSDM proves to be more robust against doubly spread channels than existing techniques, such as D-OSDM and OSDM. © 2025 IEEE.

关键词： Underwater acoustic communication

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Study of Thin Film Blue-Light MicroLEDs by Laser Lift-Off and Texture Process

IEEE Electron Device Letters

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IEEE Electron Device Letters 2024年第2期45卷 212-215页

作者： Hsu, Yu-Hsuan Wan, Tsung-Chih Lo, Yu-Yun Lin, Xin-Dai Lin, Yi-Hsin Zan, Hsiao-Wen Horng, Ray-Hua National Yang Ming Chiao Tung University College of Electrical and Computer Engineering Department of Photonics Hsinchu30010 Taiwan Institute of Electronics National Yang Ming Chiao Tung University College of Electrical and Computer Engineering Hsinchu30010 Taiwan

In this study, thin-film blue-light micro-light-emitting diodes ( μ LEDs) were successfully fabricated by laser lift-off technique, which had an emission region of only 10μ m× 10μ m. Additionally, a texturing treatment was applied to the top undoped GaN surface. The texturing time was optimized to prevent a total reflective effect and further enhance the light extraction efficiency. As a result, the emission output power (@ 30 mA) and EQEmax of the μ LED textured for 2 minutes exhibited 1.35 times and 1.64 times higher values as compared with those of μ LED with a sapphire substrate, respectively. © 1980-2012 IEEE.

关键词： III-V semiconductors

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Improve The Efficiency and Code Quality Using A Framework Based On Big Data 2

Improve The Efficiency and Code Quality Using A Framework Ba...

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2nd IEEE Global Conference on Communications and Information Technologies, GCCIT 2024

作者： Chavan, Aarati Jaleel, Uruj Auti, Nisha Kalinga University Department of Computer Science and Engineering Raipur492010 India Bharati Vidyapith Department of Computer Science and Engineering Pune411030 India

ISBN: (纸本)9798350388916

The primary objective of utilizing recommendation frameworks is to pick up the efficiency of the designer by prescribing documents to alter. Now days use of recommendation systems while developing software increasing in order to speed up the process of software development by software developers. Data Collection will be depended on Primary and Secondary resources. The data will be accumulated from the subjective research will turn into the reason for the plan of quantitative examinations. We utilized Mylyn data. Mylyn records association follows from the Obscuration IDE and files them in the Overshadowing Bugzilla framework. In the present study, we will be utilized a non-probability testing procedure that is accommodation inspecting. Convenience sampling is typically utilized for gathering an extensive number of data. Distinctive kinds of systems can be utilized to assess diverse research results and make a sound decision for a given overview data. In this examination, data will be investigated utilizing distinctive quantitative and subjective methods. © 2024 IEEE.

关键词： Data accuracy

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Koopman-Based Model Predictive Control of Quadrotors

Koopman-Based Model Predictive Control of Quadrotors

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2025 International Conference on Unmanned Aircraft Systems, ICUAS 2025

作者： Martini, Simone Todde, Edoardo Stefanovic, Margareta Rutherford, Matthew J. Rizzo, Alessandro Valavanis, Kimon P. Ritchie School of Engineering and Computer Science University of Denver Department of Electrical and Computer Engineering United States Department of Electronics and Telecommunications Torino Italy Ritchie School of Engineering and Computer Science University of Denver Department of Computer Science Denver United States

ISBN: (纸本)9798331513283

A novel formulation of model predictive control (MPC) coupled with Koopman operator theory is presented and tested for the trajectory tracking problem of a quadrotor UAV. The analytical derivation of Koopman observables allows for the quadrotor model to be written as a fully-actuated quasi-linear system which enables the control problem to be posed as a linear control problem. In fact, the adopted approach embeds the quadrotor nonlinear dynamics into a quasi-linear form through the evolution of the Koopman op-erator generalized eigenfunctions, a special kind of Koopman observables. Hence, the linear MPC formulation in Koopman coordinates is equivalent to a nonlinear implementation in the original state space. Moreover, in an enhancement from the standard feedback linearization, the Koopman based quadro-tor model does not present underactuation, which drastically simplifies the computational requirement for the solution of the MPC optimization problem. The presented methodology is tested through detailed numerical simulations and results are compared to single-loop nonlinear MPC (NMPC). The satisfactory tracking performance are additionally enhanced by the obtained computational speedup which is crucial for real time implementation of flight controllers. © 2025 IEEE.

关键词： Predictive control systems

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Use of Neighborhood-Based Bridge Node Centrality Tuple for Preferential Vaccination of Nodes to Reduce the Number of Infected Nodes in a Complex Real-World Network 1

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7th Computational Methods in Systems and Software, CoMeSySo 2023

作者： Meghanathan, Natarajan K., Burden M., Robinson Department of Electrical and Computer Engineering and Computer Science Jackson State University 1400 Lynch Street JacksonMS39217 United States

ISBN: (数字)9783031535529

ISBN: (纸本)9783031535512

We investigate the use of the Neighborhood-based Bridge Node Centrality (NBNC) tuple to choose nodes for preferential vaccination so that such vaccinated nodes could provide herd immunity and reduce the spreading rate of infections in a complex real-world network. The NBNC tuple ranks nodes on the basis of the extent they serve as bridge nodes in a network. A node is a bridge node, if when removed its neighbors are either disconnected or at least sparsely connected. We hypothesize that preferentially vaccinating such bridge nodes would block an infection spread from a neighbor of the bridge node to an another neighbor that are otherwise not reachable to each other. We evaluate the effectiveness of using NBNC vis-a-vis degree centrality for preferential vaccination to reduce the spread of infections by conducting simulations of the spread of infections per the SIS (Susceptible-Infected-Susceptible) model on a collection of 10 complex real-world social networks. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Bridge Node Centrality Tuple Infection Spread Simulations SIS Model Vaccination

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Ranking-based Diversified Influence Maximization for Dynamic Social Networks 17

Ranking-based Diversified Influence Maximization for Dynamic...

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17th International Conference on COMmunication Systems and NETworkS, COMSNETS 2025

作者： Meena, Sunil Kumar Singh, Shashank Sheshar Singh, Kuldeep University of Delhi New Delhi Department of Computer Science New Delhi India Thapar Institute of Engineering and Technology Department of Computer Science and Engineering Patiala India

ISBN: (纸本)9798331531195

Influence maximization (IM) is the task of selecting the most influential nodes in the network. IM achieves the goal of spreading information, influencing behaviour, or promoting sales of products. Existing studies in IM focus on maximizing the activated nodes in the static network and neglecting the communities. In this paper, we give a novel ranking-based algorithm that ranks the nodes based on their reachability and diversity. This paper proposes an objective function that considers both diversity and activated nodes to determine the diversity capability of the nodes. The proposed algorithm utilizes previous computation and integrates reachability centrality with the objective function to rank the nodes at a timestamp in a dynamic network. We execute the proposed and benchmark algorithms on five datasets. The experiments show that the suggested algorithm produces superior and competitive outcomes in comparison to the benchmark algorithms. © 2025 IEEE.

关键词： Diversified Influence Maximization Dynamic Networks Influence Maximization Local Reaching Centrality Social Network Analysis

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Relevant Musical Schema-based Human Emotion Controller using Deep Learning Techniques 3

Relevant Musical Schema-based Human Emotion Controller using...

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3rd IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing, INCOS 2024

作者： Nagaraj, P. Sudar, K. Muthamil Krishna, Gollamandala Vamsi Yeswanth, Grandhi Srinivas Charan, Gurrala Sai Charan, Nidiganti Kalasalingam Academy of Research and Education Krishnankoil Department of Computer Science and Engineering Virudhunagar India Mepco Schlenk Engineering College Department of Computer Science and Engineering Virudhnagar India

ISBN: (纸本)9798350361186

Musical Schema negotiation describes how a user's facial expressions may convey their emotional state or mood. You may see these expressions in the live video from the system camera. Many efforts are being made to teach machines to recognize various human emotions or moods in the field of computer vision and machine learning (ML). There are several techniques available in machine learning to identify human emotions. We propose a system that detects mood in real time and generates a mood-based music player that recommends songs depending on the observed mood. This is now a function that comes pre-installed on the traditional music player applications on our phones. One major benefit of mood detection integration is customer satisfaction. Among this system's objectives are to analyze the user's look, forecast their expression, and suggest music based on how they seem. © 2024 IEEE.

关键词： Deep learning

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Millimeter Wave Thin-Film Bulk Acoustic Resonator in Sputtered Scandium Aluminum Nitride

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Journal of Microelectromechanical Systems 2023年第6期32卷 529-532页

作者： Cho, Sinwoo Barrera, Omar Simeoni, Pietro Marshall, Emily N. Kramer, Jack Motoki, Keisuke Hsu, Tzu-Hsuan Chulukhadze, Vakhtang Rinaldi, Matteo Doolittle, W. Alan Lu, Ruochen The University of Texas at Austin Department of Electrical and Computer Engineering AustinTX78712 United States Northeastern University Department of Electrical and Computer Engineering BostonMA02115 United States Georgia Institute of Technology Department of Electrical and Computer Engineering AtlantaGA30332 United States National Tsing Hua University Department of Power Mechanical Engineering Hsinchu30013 Taiwan

This work reports a millimeter wave (mmWave) thin-film bulk acoustic resonator (FBAR) in sputtered scandium aluminum nitride (ScAlN). This paper identifies challenges of frequency scaling sputtered ScAlN into mmWave and proposes a stack and new fabrication procedure with a sputtered Sc0.3 Al0.7 N on Al on Si carrier wafer. The resonator achieves electromechanical coupling ( k2 ) of 7.0% and quality factor ( Q ) of 62 for the first-order symmetric (S1) mode at 21.4 GHz, along with k2 of 4.0% and Q of 19 for the third-order symmetric (S3) mode at 55.4 GHz, showing higher figures of merit (FoM, k2Q ) than reported AlN/ScAlN-based mmWave acoustic resonators. The ScAlN quality is identified by transmission electron microscopy (TEM) and X-ray diffraction (XRD), identifying the bottlenecks in the existing piezoelectric-metal stack. Further improvement of ScAlN/AlN-based mmWave acoustic resonators calls for better crystalline quality from improved thin-film deposition methods. [2023-0151] © 1992-2012 IEEE.

关键词： Aluminum nitride

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Instantaneous Velocity Vector Estimation Using a Single MIMO Radar Via Multi-Bounce Scattering

Instantaneous Velocity Vector Estimation Using a Single MIMO...

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2024 IEEE Conference on Computational Imaging Using Synthetic Apertures, CISA 2024

作者： Mehrotra, Nishant Pandey, Divyanshu Madhow, Upamanyu Mostofi, Yasamin Sabharwal, Ashutosh Rice University Department of Electrical & Computer Engineering HoustonTX United States University of California Department of Electrical & Computer Engineering Santa BarbaraCA United States

ISBN: (纸本)9798350308648

Multiple-input, multiple-output (MIMO) radars can estimate radial velocities of moving objects, but not their tangential velocities. In this paper, we propose to exploit multi-bounce scattering in the environment to form an effective multi-'look' synthetic aperture and enable estimation of a moving object's entire velocity vector - both tangential and radial velocities. The proposed approach enables instantaneous velocity vector estimation with a single MIMO radar, without additional sensors or assumptions about the object size. The only requirement of our approach is the existence of at least one resolvable multi-bounce path to the object from a static landmark in the environment. The approach is validated both in theory and simulation. © 2024 IEEE.

关键词： Radar imaging

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