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AIAA science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Priyadharshini Veeraperumal Senthil Nathan, Janani Sourirajan, Laxana Vinayagam, Gopinath Ajith Pisharam, Akhila Thaiyan Rajendran, Ragavendra Baskar, Sundhar Arumugam, Manikandan Rajendran, Mahendran Kumar Madasamy, Senthil Stanislaus Arputharaj, Beena Maranan, Ramya Rajendran, Parvathy Ganesan, Balaji Dixit, Saurav Khristina Maksudovna, Vafaeva Raja, Vijayanandh Department of Aeronautical Engineering Kumaraguru College of Technology Tamil Nadu Coimbatore641049 India Adjunct Faculty Department of Research and Innovation Saveetha School of Engineering SIMATS Tamil Nadu Chennai602105 India Department of Research and Innovation Saveetha School of Engineering SIMATS Tamil Nadu Chennai602105 India School of Aerospace Engineering Universiti Sains Malaysia Penang Nibong Tebal14300 Malaysia Department of Aeronautical Engineering Hindustan Institute of Technology and Science Tamil Nadu Chennai India Division of Research and Innovation Uttaranchal University Dehradun India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura140417 India Peter the Great St. Petersburg Polytechnic University Saint Petersburg195251 Russia Chitkara Centre for Research and Development Chitkara University Himachal Pradesh174103 India Lovely Professional University Punjab Phagwara144411 India

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

Rotary wing Unmanned Aerial Vehicles (RWUAVs) are one of those aerial vehicles that have high maneuverability and various other advantages over conventional fixed-wing Unmanned Aerial Vehicles (UAVs). These UAVs have vertically aimed propellers that allow the vehicle to achieve Vertical Take-Off and Landing (VTOL). Since energy requirement is always a needful factor in small RWUAVs' ability to achieve high endurance, the invention of renewable energy-based power extraction plays chief responsibility in the UAV industry. This work proposes an energy extractor in the form of a hybrid rotor that is loaded at the tail of the RWUAV, which functions by an added electric propulsive system. The hybrid rotor is analyzed at 10 m/s velocity with six different design profiles modelled using NACA 0015 airfoil, where the design data is estimated to employ an analytical approach. The torque of all the models is compared so that the best model is chosen by considering the advantageous factors;the modified hybrid rotor is planned to serve as an energy extractor for this study. Thus, from this proposal, wind energy is identified as a possible chance to achieve effective working of the UAV with a high probability of success. Based on the analytical approaches, a unique RWUAV with a modified hybrid rotor is designed and assembled using 3D EXPERIENCE. Turbulent cum incompressible flow-based computational fluid dynamics analyses with forward and VTOL velocities of 27.778 m/s and 25 m/s are computed in the setup. So, the aerodynamic pressure over the UAV and Hybrid rotor are captured. Two different cases based on the placement of the hybrid rotor where the leading edge faces the airflow and other being the trailing edge faces the airflow results in the placement of the hybrid facing the airflow, producing torque which contributes 10% to 20% of the torque balanced by the effect of tail rotor during the forward flight and 45% to 55% of torque balanced by the tail rotor during the VTOL opera

关键词： Fixed wings

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Design of half adder using integrated leakage power reduction techniques

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Materials Today: Proceedings 2022年 69卷 576-581页

作者： Bindu Katikala, Hima Pavan Kumar, Thatha Manideep Reddy, Bhimavarapu V.V.Pavan Kumar, Bandireddy Ramana Murthy, G. Dixit, Saurav Department of Electronics and Communication Engineering Vignan's Foundation for Science Technology and Research 522213 India Department of E.C.E Department of Electronics and Communication Engineering Alliance College of Engineering and Design Alliance University Bangalore 562106 India Peter the Great St. Petersburg Polytechnic University St Petersburg 195251 Russia Division of Research & Innovation Uttaranchal University Dehradun 248007 India

The necessity for the development of compact, portable, and reliable electronic devices of enhanced speed and efficiency has prompted the scaling of CMOS devices to be indispensable. However, the benefit of scaling CMOS devices comes at the cost of increased leakage current in circuits. The variance in power consumption by these circuits incites detrimental impacts on the operational characteristics of the entire device. So, in this work, a novel leakage power reduction technique obtained by combining the Leakage Control Transistor (LECTOR) approach and drain gating approach is proposed. Both these subthreshold leakage minimization approaches are prominently used in Complementary Metal Oxide Semiconductor (CMOS) devices for curtailing the leakage power. The effectiveness of the proposed Integrated Drain Gating Lector (IDGL) technique in mitigating the leakage power is ascertained by designing a half adder circuit. Hence the overall leakage power is of 3.16nW & delay 69.12 µs in 180 nm technology, and in low scale technology of 90 nm the same leakage power decline to 2.19nW & delay is 65.45 µs. © 2022

关键词： Adders

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Grain Yield,Biomass Accumulation,and Leaf Photosynthetic Characteristics of Rice under Combined Salinity-Drought Stress

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Rice science 2024年第1期31卷 118-128,I0023页

作者： WEI Huanhe GENG Xiaoyu ZHANG Xiang ZHU Wang ZHANG Xubin CHEN Yinglong HUO Zhongyang ZHOU Guisheng MENG Tianyao DAI Qigen Jiangsu Key Laboratory of Crop Cultivation and Physiology/Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops/Key Laboratory of Saline-Alkali Soil Reclamation and Utilization in Coastal Areas the Ministry of Agriculture and Rural Affairs of China/Research Institute of Rice Industrial Engineering TechnologyYangzhou UniversityYangzhou 225009China Institute of Agricultural Science and Technology Development/Joint International Research Laboratory of Agriculture and Agri-Product Safety the Ministry of Education of ChinaYangzhou UniversityYangzhou 225009China

Simultaneous stresses of salinity and drought often coincide during rice-growing seasons in saline lands,primarily due to insufficient water resources and inadequate irrigation ***,combined salinity-drought stress poses a major threat to rice *** this study,two salinity levels(NS,non-salinity;HS,high salinity)along with three drought treatments(CC,control condition;DJ,drought stress imposed at jointing;DH,drought stress imposed at heading)were performed to investigate their combined influences on leaf photosynthetic characteristics,biomass accumulation,and rice yield ***,drought,and their combination led to a shortened growth period from heading to maturity,resulting in a reduced overall growth *** yield was reduced under both salinity and drought stress,with a more substantial reduction under the combined salinity-drought *** combined stress imposed at heading caused greater yield losses in rice compared with the stress imposed at ***,the combined salinity-drought stress induced greater decreases in shoot biomass accumulation from heading to maturity,as well as in shoot biomass and nonstructural carbohydrate(NSC)content in the stem at heading and ***,it increased the harvest index and NSC remobilization *** and drought reduced the leaf area index and SPAD value of flag leaves and weakened the leaf photosynthetic characteristics as indicated by lower photosynthetic rates,transpiration rates,and stomatal *** reductions were more pronounced under the combined ***,drought,and especially their combination,decreased the activities of ascorbate peroxidase,catalase,and superoxide dismutase,while increasing the contents of malondialdehyde,hydrogen peroxide,and superoxide *** results indicated a more significant yield loss in rice when subjected to combined salinity-drought *** individual and combined stresses of salinity and dro

关键词： antioxidant defense system combined salinity-drought stress drought stress photosynthetic characteristics rice salinity stress

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Detection of Bleeding Events In EHR Notes Using A Graph Dynamic Autoencoder Based Riemannian Residual Neural Network 4

Detection of Bleeding Events In EHR Notes Using A Graph Dyna...

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4th IEEE International Conference on ICT in Business Industry and Government, ICTBIG 2024

作者： Niveditha, V.R. Ali, H. Mohammed Rammohan, S. Radha Rajababu, D. Maranan, R. Kaliappan, S. Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Semmancheri Chennai600119 India Srm Institute of Science and Technology Department of Mechanical Engineering Ramapuram Campus Chennai89 India Hindustan University Center for Open and Digital Education Padur Chennai India Sr University Department of Electrical and Electronics Engineering Telangana Warangal506371 India Saveetha School of Engineering Simats Department of Research and Innovation Tamil Nadu Chennai602105 India Lovely Professional University Division of Research and Development Jalandhar - Delhi G.T.Road Punjab Phagwara144411 India

ISBN: (纸本)9798331518981

Identifying occurrences of abnormal bleeding based on unstructured and structured medical data, such as patient notes, vitals, and laboratory findings, is the problem of recognising bleeding events in Electronic Health Records (EHR). The problem is in accurately recognising these occurrences by analysing temporal patterns, extracting significant information, and distinguishing catastrophic bleeding occasions from typical medical fluctuations given the complexity of EHR data, which is frequently longitudinal, heterogeneous, and packed with noise. The goal is to create a Graph Dynamic Autoencoder combined with a Riemannian Residual Neural Network (GDA-RRNN) with Elk Herd optimizer (EHO) model that can identify and display bleeding incidents in electronic medical data. The EHO optimizes the hyperparameters GDA-RRNN to improve the performance of the suggested method. We extracted 300 electronic health records that contained leukaemia or bleeding diagnostic codes from the International categorization of Diseases, Tenth Revision. The electronic health record has annotations indicating whether a sentence was positive or negative for bleeding. A proposed model that can identify bleeding at the sentence and note levels was created using the annotated texts. The best-performing suggested approach achieved a sensitivity of 0.99, specificity of 0.99, and a negative prediction value of 0.99 on an equal test set of 1178 phrases. © 2024 IEEE.

关键词： Electronic health record

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Opposition Strategy with Harris Hawk Algorithm for Task Scheduling in Edge Computing

Opposition Strategy with Harris Hawk Algorithm for Task Sche...

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2024 International Conference on Distributed Systems, Computer Networks and Cybersecurity, ICDSCNC 2024

作者： Padmakala, S. Khond, Smita Al-Farouni, Mohammed Punitha, S. Kaliappan, S. Saveetha University Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering Chennai India Malla Reddy Engineering College for Women Department of Cse Hyderabad India The Islamic University College of Technical Engineering Department of Computers Techniques Engineering Najaf Iraq Deemed to Be University Vinayaka Mission's Kirupananda Variyar Engineering College Vinayaka Mission's Research Foundation Department of Mathematics Salem India Lovely Professional University Department of Research and Development Phagwara India

ISBN: (纸本)9798350375442

Edge computing (EC) nodes undertake an increasing number of tasks with rise of business density. However, unreasonable edge computing resource allocation suffers from high energy consumption and resource waste. This paper, Opposition-Based Learning with Harris Hawk Algorithm (OHHO) using task scheduling in EC, distributed involves complex and dynamic environment with changing tasks and resources availability. The HHO has mechanisms to maintain exploration and exploitation, reduce high dimensionality in search space where algorithm avoids to fall in local optima. OBL helps in this dynamic context by ensuring suboptimal solutions are quickly discarded and replaced with their opposites, which allows algorithm to adapt better to recent situation. This is adaptability is crucial in edge computing, where tasks and resources are constantly fluctuating. The resource allocation involved Dynamic Priority Task Scheduling Algorithm (DPTSA) helps in balancing system load by distributing tasks based on their priority and availability of resources. The proposed OHHO algorithm achieves high performance such energy 0.1mJ, Makespan of 1s and Delay of 45ms respectively when compared to existing techniques Deep Q Network (DQN) and Particle Swarm Optimization (PSO) - Grey Wolf Optimizer (GWO) approach. © 2024 IEEE.

关键词： Scheduling algorithms

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Real-Time Facial Recognition in Computer Vision for Industrial Security 3

Real-Time Facial Recognition in Computer Vision for Industri...

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3rd IEEE International Conference on ICT in Business Industry and Government, ICTBIG 2023

作者： Kaliappan, S. Maranan, Ramya Ali, H. Mohammed Sathyavani, B. Lovely Professional University Division of Research and Development Punjab Phagwara India Srm Institute of Science and Technology Dept. Mechanical Engineering Ramapuram TN Chennai India Saveetha School of Engineering Simats Dept. of Research and Innovation TN Chennai India Sr University Dept. of Eee Telangana Warangal India

ISBN: (纸本)9798350343274

In industrial security, facial recognition is crucial because it allows for precise and timely identification of people, which is necessary to protect assets and guarantee worker safety. This research presents a unique solution to the problems of real-time face recognition in industrial settings by combining state-of-the-art technology. 'Deep Face Recognition with FaceNet,' 'Real-Time Face Detection with Faster R-CNN,' and 'Privacy-Preserving Techniques with Homomorphic Encryption' are all integrated into the suggested way to produce a secure and private system. Through a series of tests, we show in our studies how successful this strategy is. Firstly, Faster R-CNN achieves high accuracy face detection with great efficiency in real-time video streams. FaceNet then does a great job of identifying these faces and associating them with recognized people, providing accurate identification. Our method relies heavily on privacy preservation, which is accomplished by using homomorphic encryption. This guarantees the confidentiality of face data even as it is being recognized. It uses deep learning to adjust to changing situations and provides real-time accuracy for quick recognition. Moreover, it is unique due to its use of homomorphic encryption, which protects users' privacy while identifying them. To sum up, our method is a major step forward in real-time face recognition for industrial security. © 2023 IEEE.

关键词： Face recognition

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Unmanned Aerial Vehicles Inspection for Overhead High Voltage Transmission Lines 1

Unmanned Aerial Vehicles Inspection for Overhead High Voltag...

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1st International Conference on Innovative research in Applied science, engineering and Technology, IRASET 2020

作者： Fahmani, Lamyae Garfaf, Jamila Boukhdir, Khalid Benhadoul, Siham Medromi, Hicham Research Foundation for Development and Innovation in Science and Engineering Casablanca Morocco Casablanca Morocco

ISBN: (数字)9781728149790

ISBN: (纸本)9781728149790

In this paper, we present our study to choose a suitable method for the inspection of Moroccan Overhead High Voltage Transmission Lines (OHVTLs). So we present the traditional methods adopted by the electricity supply operators, their advantages and inconveniences. We prove that the use of Unmanned Aerial Vehicles (UAVs) in line diagnosis operations and the location of abnormalities stands out from the use of the other line inspection methods. We have established a comparative study of the different types of UAVs by determining their characteristics, advantages, and disadvantages, which proves that the multirotor UAV is a suitable choice for our case. Also, we elaborate the Vertical Take-Off and Landing (VTOL) UAV's mathematical model and its simulation, we present a comparison of VTOL UAV's types and a practical study of existing VTOL UAVs, which can be used in the inspection of overhead high voltage transmission lines, joined by their technical specifications. © 2020 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Enhancing Photocatalytic Activity and Biological Applications of TiO2 Nanoparticles Using Moringa Oleifera Leaf Extract

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Waste and Biomass Valorization 2024年第11期15卷 6523-6537页

作者： Rakkini, A. Motcha Libu, Raimands Sahaya Raison Vatin, Nikolai Ivanovich Devanesan, Sandhanasamy Selvankumar, T. Mary Arul Rosaline, L. Amala Infant Joice, J. Dixit, Saurav Lo, Huang-Mu Affiliated to Bharathidasan University Tamilnadu Tiruchirappalli620002 India Department of Chemical Engineering National Chung Cheng University Chaiyi621301 Taiwan Division of Research and Development Lovely Professional University Punjab Phagwara144401 India Chitkara Centre for Research and Development Chitkara University Himachal Pradesh Baddi174103 India Department of Physics and Astronomy College of Science King Saud University P. O. Box 2455 Riyadh11451 Saudi Arabia Biomaterials Research Unit Center for Global Health Research Saveetha Medical College and Hospitals Saveetha Institute of Medical and Technical Sciences Saveetha University Tamil Nadu Chennai602105 India Division of Research and Innovation Uttaranchal University Dehradun India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura140417 India Department of Environmental Engineering and Management Chaoyang University of Technology Taichung Taiwan

The biosynthesis of nanoparticles is an important research area focused on developing innovative, cost-effective, efficient, and environmentally friendly synthesis techniques with a wide range of applications. This study employs a straightforward and practical method to produce TiO2 nanoparticles (NPs) for use in photocatalysis, antibacterial, antifungal, and antidiabetic applications. It utilizes extract-assisted biosynthesis with Moringa oleifera. To enhance the material and evaluate the impact of bioinspiration on various parameters, the resulting TiO2 NPs undergo calcination at 500 °C. Structural confirmation, bandgap analysis, and functional group studies of MO/TiO2 (Moringa oleifera/TiO2) nanoparticles are conducted using XRD, UV-DRS, FT-IR, and PL analysis. To examine the surface morphological characteristics of the anatase TiO2 nanoparticles, SEM and TEM-EDS electron microscopy analyses were accomplished. The produced TiO2 nanoparticles are also assessed for their photocatalytic and antidiabetic properties. Photocatalytic activity is determined by decolorizing methylene blue dye in the presence of sunlight, revealing that optimal conditions for complete color removal involve using 0.3 g of TiO2 and a concentration of 4 × 10− 5 M at pH 7. A total decolorization efficiency is achieved after 180 min in the presence of MO/TiO2. The biosynthesized Moringa oleifera leaf extracted TiO2 (MO/TiO2) was used for photocatalytic and biomedical applications. MO/TiO2 exhibited the best photocatalytic activity and showed maximum inhibitoin in invitro antidiabetic activity. Invivo antidiabetic activity showed the Moringa oleifera leaf-extracted TiO2 catalyst significantly reduced blood glucose levels. © The Author(s), under exclusive licence to Springer Nature B.V. 2024.

关键词： Titanium dioxide

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Optimized Dilated Convolutional Neural Network with Quantum Self-Attention Based on Hyper Spectral Remote Sensing Image Classification 4

Optimized Dilated Convolutional Neural Network with Quantum ...

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4th IEEE International Conference on ICT in Business Industry and Government, ICTBIG 2024

作者： Santhosha, T. Ali, H. Mohammed Seeniappan, K. Yamsani, Nagendar Maranan, R. Kaliappan, S. T.S Medchal district501301 India Srm Institute of Science and Technology Department of Mechanical Engineering Ramapuram Campus Chennai89 India Amity University Department of Mechanical Engineering Dubai345019 United Arab Emirates Sr University School of Computer Science & Artificial Intelligence Telangana Warangal506371 India Saveetha School of Engineering Simats Department of Research and Innovation Tamil Nadu Chennai602105 India Lovely Professional University Division of Research and Development Punjab Phagwara144411 India

ISBN: (纸本)9798331518981

Hyperspectral remote sensing (RS) involves capturing and analyzing data across numerous, narrow spectral bands in the electromagnetic spectrum. With this technology, it is possible to identify what has been on the Earth surface with unprecedented depth that cannot be done with the mere multispectral images. A Hyperspectral sensor is able to capture hundreds of bands of data, and is therefore able to distinguish between very small differences in surface materials that we cannot even see or conventional multispectral sensors. Hyperspectral remote sensing is widely used in applications like agriculture, environmental monitoring, geology, and defence. To overcome the limitations of current approaches, new strategies are needed. In this manuscript Optimized Dilated Convolutional Neural Network with Quantum Self-Attention Based on Hyper Spectral Remote Sensing Image Classification (DCNN-QSA-PDOA) is proposed. The Indian Pine dataset is where the data is first gathered. The multidirectional shearlet transform based feature extraction (MDST) model is then utilized to extract the hyperspectral image (HSI) features. Following the completion of the feature extraction procedure, the Dilated Convolutional Neural Network with Quantum Self-Attention (DCNN-QSA) is trained on the feature extracted images and used to classify the category information. Here, (PDOA) is utilized for tuning hyper parameters of DCNN-QSA. The proposed DCNN-QSA-PDOA method provides 37.23%, 18.74% and 24.84% higher accuracy compared with existing method like Classifying images from hyper spectral RS using a DCNN-HIS, Dense residual three-dimensional convolutional neural networks are used for hyper spectral RS picture classification (DR-3DCNN-HIS), Fully convolutional neural networks are used for the categorization of hyper spectral remote sensing pictures (CNN-HIS) respectively. © 2024 IEEE.

关键词： Convolutional neural networks

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Antioxidant effect of Lactobacillus fermentum HFY02-fermented soy milk on D-galactose-induced aging mouse model

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Food science and Human Wellness 2022年第5期11卷 1362-1372页

作者： Tiantian Hu Rui Chen Yu Qian Ke Ye Xingyao Long Kun-Young Park Xin Zhao Chongqing Collaborative Innovation Center for Functional Food Chongqing Engineering Research Center of Functional FoodChongqing Engineering Laboratory for Research and Development of Functional FoodChongqing University of EducationChongqing 400067China Department of General Practice The Third People's Hospital of ChengduChengdu 610036China Department of Food Science and Biotechnology Cha UniversitySeongnam 13488Korea

This study aimed to investigate the antioxidant effect of soybean milk fermented by a new type of Lactobacillus fermentum(LF-HFY02)by using D-galactose induced aging mice ***,the optimal fermentation conditions was screened out by detecting the effects of different fermentation temperature and time on the active components and antioxidant activity of soybean milk in *** then unfermented soybean milk and the soybean milk fermented by different Lactobacillus was given by gavage to D-galactose-induced aging *** activities of GSH,GSH-Px,SOD,CAT and T-AOC in serum,brain and liver of soybean milk fermented by LF-HFY02 were significantly increased,while the content of MDA and the level of AGEs in hippocampal were significantly decreased compared with D-galactose induced *** more,the mRNA expression of GSH and SOD in mouse liver were obviously up-regulated by soybean milk fermented by *** skin tissue structure of mice in the LF-HFY02 fermented soybean milk group was more complete,the collagen fibers were increased and arranged orderly and liver inflammation has improved compared with the model *** Western blot analysis showed that LF-HFY02 effectively upregulated EGFR,SOD and GSH protein expression in mouse *** findings suggest that LF-HFY02 can effectively prevent D-galactose-induced oxidation and aging in mice,and the effect was even better than that of the Lactobacillus delbruechii *** and vitamin ***,LF-HFY02 may be potentially employed as a probiotic *** conclusion,soybean milk fermented by LF-HFY02 can increase the content of antioxidant factors and the activity of antioxidant enzymes by regulating gene and protein expression,and finally inhibit the process of tissue cell peroxidation,and improve the oxidative damage of mouse skin and *** results could provide a basis for the research and development and industrial production of probiotic-related fermented soybean milk products.

关键词： Lactobacillus fermentum HFY02 Fermented soybean milk D-galactose Antioxidant Aging

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