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3rd International Conference on Recent Advances in Mechanical engineering Research and Development, ICRAMERD 2022

作者： Kamilla, Bhabani Shankar Sahoo, Bibhuti Bhusan Barua, Abhishek Jeet, Siddharth Kumari, Kanchan Bagal, Dilip Kumar Panda, Bibhu Prasad Odisha Bhubaneswar India Department of Mechanical Engineering Centre for Advanced Post Graduate Studies BPUT Odisha Rourkela India Department of Mechanical Engineering Parala Maharaja Engineering College Odisha Berhampur India Department of Mechanical Engineering Government College of Engineering Odisha Kalahandi Bhawanipatna India Department of Mechanical Engineering Indira Gandhi Institute of Technology Odisha Sarang Dhenkanal India

ISBN: (纸本)9789811994920

Resistance spot welding is a supreme noteworthy joining practice exploited in various engineering. To circumvent welding failures and the quality of some materials, optimization of welding parameters turns out to be vital for forecasting upright welded joints. This study targets at scrutinizing the impact of spot welding variables on dissimilar lap joints for 50HS Stainless Steel;AA1200 Aluminum Alloy. Experimentation is planned as per Taguchi’s L9 orthogonal array. Expectations of ANOVA are conversed and carefully scrutinized. Measurement Alternatives and Ranking according to Compromise Solution (MARCOS)-based Taguchi methods are applied to investigate the output responses of resistance spot welding operation. The results revealed that welding current is the main affecting parameter of nugget diameter and tensile-shear strength. After performing confirmatory tests. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Spot welding

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Rock / Mine Classification Using Supervised Machine Learning Algorithms

Rock / Mine Classification Using Supervised Machine Learning...

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Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), International Conference

作者： Sivachandra. K Kumudham. R P Sathish Kumar Rajendran. V G.R.Jothi Lakshmi Department of ECE Vels Institute of Science Technology and Advanced Studies Chennai India Department of Computer and Communication Engineering Rajalakshmi Institute of Technology Chennai India

Nowadays, Artificial Intelligence appears in the domain of goetechnics, underwater acoustics, tunneling, geomorphology engineering and also in several fields too. This paper focused on the prospectivefor machine learning approaches which are sub field of artificial intelligence especially in underwater acoustics domain. In this proposal, machine learning approaches such as light gradient boosting, logistic regression, and random forest classifier algorithms are used for categorizing rocks or mines from collected sonar dataset. Based on performance metrics such as precision, F-score, recall, execution time, accuracy and confusion matrix, evaluate overall performance of machine learning models. Here, the experimental results shows that among all classifier algorithms, light gradient boosting achieves greater validation accuracy as 95% also training accuracy as 100* moreover, random forest classifier achieves 100% accuracy during training phase.

关键词： Training Machine learning algorithms Sonar measurements Sonar Tunneling Rocks Boosting

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Multistimuli responsive supramolecular polymer networks via host-guest complexation of pillararene-containing polymers and sulfonium salts

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Chinese Chemical Letters 2022年第12期33卷 5111-5115页

作者： Feihong Lu Yi Chen Boqiao Fu Shigui Chen Lu Wang The Institute for Advanced Studies Hubei Clinical Center&Key Lab of Intestinal&Colorectal DiseasesWuhan UniversityWuhan 430072China Institute of Biomedical Materials Industry Technology Hubei co-Innovation Center for Utilization of Biomass WasteCollege of Chemistry and Materials ScienceHubei Engineering UniversityXiaogan 432000China

A stimuli-responsive supramolecular polymer network has been constructed based on the host-guest interactions between the copolymer poly-P[5]A with pendent pillararene units and bis(sulfonium)diction guest *** formation mechanism of the supramolecular polymer network has been explored by the intensive *** the addition of the competitive molecules and heating,the supramolecular polymer network could be dissociated and lead to clear changes in NMR spectroscopy and viscosity property.

关键词： Supramolecular polymer network Pillar[5]arene Sulfonium salt Stimuli-responsive Supramolecular gel

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An Innovative Method for Enterprise Resource Planning (ERP) for Business and knowledge Management Based on Tree MLP Model

An Innovative Method for Enterprise Resource Planning (ERP) ...

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2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems, IACIS 2024

作者： Ahlawat, Jagbir Sundaresh, K. Murugan, R. Thiru Sawadatkar, Sushma Mule, Amruta Kundalik Kiran, P B Narendra Tecnia Institute of Advanced Studies Department of Management Sciences New Delhi India Srm University School of Law Chengalpattu India Kalasalingam Academy of Research and Education Kalasalingam Business School Department of Business Administration Krishnankoil India Dr D Y Patil Institute of Technology Department of Civil Engineering Pimpri Pune India Dr. D. Y. Patil Institute of Technology Department of First Year Engineering Pimpri Pune India Christ University School of Business and Management Bengaluru India

ISBN: (纸本)9798350360660

This strategy highlights the benefits of utilizing cutting-edge IT to back up company goals and genuinely assist in changing internal procedures by implementing an ERP-appropriate solution. Any organization, no matter how big or little, can benefit from an enterprise resource planning (ERP) system, which is an integrated suite of tools designed to streamline and improve internal business operations. Staying true to this approach will ensure that you get the greatest results while training the model, selecting features, and doing preprocessing. In order to use dense vector embedding for preparing the raw system logs, ERP system logs are typically represented by a combination of alphanumeric characters. While selecting features, SIM uses Particle Swarm Optimization (PSO) to create uniform product configurations. Using a Tree-MLP, the model was trained. This new strategy outperforms the old one, including Decision Tree and MLP. A 94.30% improvement in accuracy was achieved after implementing the technique. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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Laser communication systems between high-altitude aircraft and underwater platforms with real-time PPM time slot correction algorithm 6

Laser communication systems between high-altitude aircraft a...

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6th Conference on Frontiers in Optical Imaging and technology: Applications of Imaging Technologies

作者： Jiao, Chongmiao He, Yan Hu, Shanjiang Ma, Haoda Huang, Zhiwei Chen, Weibiao Key Laboratory of Space Laser Communication and Detection Technology Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Shanghai201800 China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing100049 China Hangzhou Institute for Advanced Studies University of Chinese Academy of Sciences Zhejiang Hangzhou310024 China

ISBN: (数字)9781510679757

ISBN: (纸本)9781510679740

Laser communication technology has garnered considerable attention in recent times due to its advantageous features such as high security, wide bandwidth, and high transmission rate. Its potential for long-distance atmosphere-sea information transmission is particularly promising. In this study, we developed a laser communication system that utilized a high-altitude aircraft and an underwater platform, enabling communication distances of up to 10 km in the air and 100 m underwater. The system incorporates a high-power blue-green laser, delivering an energy of 80 mJ per laser pulse with a repetition frequency of 100 Hz. During experimental investigations, we found that the Doppler shift effect becomes more pronounced with communication time. This phenomenon becomes more pronounced when transmitting large-capacity data, as cumulative frequency errors can lead to pulses appearing in incorrect time slots, resulting in erroneous demodulation of data by the pulse position modulation (PPM) scheme. A time-slot synchronization correction algorithm was proposed for PPM demodulation. This algorithm utilized a broad time-slot modulation technique to ensure that the information pulse is positioned at the center of the time slot. Real-time predictions of clock offset error are made by statistically analyzing the laser pulse position within a given time slot. Subsequently, the clock count is corrected using the obtained error information. The proposed algorithm effectively eliminates erroneous time slots resulting from the accumulation of frequency shift errors, thereby significantly reducing the bit error rate (BER) in the transmission of large-capacity data over long distances through atmosphere-sea laser communication. © 2024 SPIE.

关键词： Clocks

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ANN Controller for Mitigation of Power Quality Issues Using Single Phase Unified Power Flow Controller

ANN Controller for Mitigation of Power Quality Issues Using ...

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2023 International Conference on Circuit Power and Computing Technologies, ICCPCT 2023

作者： Sasikala, K. Selva Kumar, J Stanly Vignesh, K. Ezhil Jarin, T. Muthukumar, P. Padmasuresh, L. Vels Institute of Science Technology & Advanced Studies Department of Electrical and Electronics Engineering Tamilnadu Chennai India Stella Mary's College of Engineering Department of Electrical and Electronics Engineering Tamil Nadu India Jyothi Engineering College Department of Electrical and Electronics Engineering APJ Abdul Kalam Technological University Kerala India Prasad V. Potluri Siddhartha Institute of Technology Department of Electrical and Electronics Engineering Andhra Pradesh Vijayawada India Baselios Mathews II College of Engineering Sasthamcotta Department of Electrical and Electronics Engineering Kerala Kollam India

ISBN: (纸本)9798350333244

This research proposes a nonlinear control method for single-phase Unified Power Flow Controller (UPFC) to improve Power Quality (PQ) issues in single-phase power grid. The main objective of this work is to maintain the appropriate level of load voltage minimal distortion and the control aims include the following: (i) compensation for current harmonics and reactive power;(ii) compensation for voltage disturbances (harmonics and swell, sags and flickers of voltage);and (iii) regulate the voltage on the DC bus. For the purpose to reduce harmonics in power systems and generate reference current for AC supply, the Decoupled Double Synchronous Reference Frame (DDSRF) theory has been presented. The influence of harmonics is then lessened by injecting this harmonic into power systems. Artificial Neural Network (ANN) with Hysteresis Current Controller (HCC) is used to create hysteresis Current regulation, which lowers Total Harmonic Distortion (THD) and increases output voltage. Through several simulation outcomes, the suggested system's effectiveness is examined. Hardware results are also confirmed with simulation outcomes using Matlab/Simulink. © 2023 IEEE.

关键词： Power quality

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A flexible,modular and versatile functional part assembly toolkit for gene cluster engineering in Streptomyces

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Synthetic and Systems Biotechnology 2024年第1期9卷 69-77页

作者： Xuejin Zhao Yeqing Zong Qiuli Lou Chenrui Qin Chunbo Lou CAS Key Laboratory of Pathogenic Microbiology and Immunology Institute of MicrobiologyChinese Academy of SciencesBeijing100101China CAS Key Laboratory of Microbial Physiological and Metabolic Engineering Institute of MicrobiologyChinese Academy of SciencesBeijing100101China Center for Cell and Gene Circuit Design Key Laboratory of Quantitative Synthetic BiologyShenzhen Institute of Synthetic BiologyShenzhen Institutes of Advanced TechnologyChinese Academy of Sciences1068 Xueyuan AvenueUniversity TownNanshanShenzhen518055China Peking-Tsinghua Joint Center for Life Sciences Peking UniversityBeijing100871China Center for Quantitative Biology Academy for Advanced Interdisciplinary StudiesSchool of PhysicsPeking UniversityBeijing100871China College of Life Sciences University of Chinese Academy of SciencesBeijing100149China

Streptomyces has enormous potential to produce novel natural products(NPs)as it harbors a huge reservoir of uncharacterized and silent natural product biosynthetic gene clusters(BGCs).However,the lack of efficient gene cluster engineering strategies has hampered the pace of new drug ***,we developed an easy-to-use,highly flexible DNA assembly toolkit for gene cluster *** DNA assembly toolkit is compatible with various DNA assembling approaches including Biobrick,Golden Gate,CATCH,yeast homologous recombination-based DNA assembly and homing endonuclease-mediated *** compatibility offers great flexibility in handling multiple genetic parts or refactoring large gene *** demonstrate the utility of this toolkit,we quantified a library of modular regulatory parts,and engineered a gene cluster(act)using characterized promoters that led to increased ***,this work provides a powerful part assembly toolkit that can be used for natural product discovery and optimization in Streptomyces.

关键词： Streptomyces Standard toolkit DNA assembly Gene cluster Synthetic biology

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A smart study on medicinal plants identification and classification using image processing techniques 3

A smart study on medicinal plants identification and classif...

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3rd International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2021

作者： Pukhrambam, Banita Rathna, R. Vels Institute of Science Technology Advanced Studies Dept. of Computer Science and Engineering Chennai India

ISBN: (纸本)9780738111834

Plants play an important role in human life for providing oxygen, food, housing, medicine, energy, housing, and environmental protection. Plants are rich in medicinal esteem and contain dynamic elements for medicinal use because of the global warming populace, lack of expert help for research, lack of government upholding research exercises, and familiarity with medicinal plants. Numerous utility plants are getting pulverized. Manual identification of plants requires significant investment and requires the identification of plants with the help of experts. To address this issue, individuals need to acquire a more prominent advantage in robotized identification and medicinal plant classification. The research region's image process field is dynamic in the automatic identification and classification of medicinal plants. Feature extraction and classification are the important developments in identifying medicinal plants that affect the overall accuracy of the system for scientific categorization. This research examines recent methods of image processing for the classification of medicinal plants. © 2021 IEEE.

关键词： Housing

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Stress-controlled fatigue of HfNbTaTiZr high-entropy alloy and associated deformation and fracture mechanisms

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Journal of Materials Science & technology 2022年第19期114卷 191-205页

作者： Shuying Chen Weidong Li Ling Wang Tao Yuan Yang Tong Ko-Kai Tseng Jien-Wei Yeh Qingang Xiong Zhenggang Wu Fan Zhang Tingkun Liu Kun Li Peter KLiaw Institute for Advanced Studies in Precision Materials Yantai UniversityYantai 264005China Department of Materials Science and Engineering The University of TennesseeKnoxvilleTN 37996USA Department of Industrial and Systems Engineering Ohio UniversityAthensOH 45701USA Department of Materials Science and Engineering High Entropy Materials CenterNational Tsing Hua UniversityHsinchu30013TaiwanChina State Key Laboratory of Pulp and Paper Engineering South China University of TechnologyGuangzhou 510640China School of Light Industry and Engineering South China University of TechnologyGuangzhou 510640China College of Materials Science and Engineering Hunan UniversityChangsha 410082China WPI Advanced Institute for Materials Research Tohoku UniversitySendai 980-8577Japan State Key Laboratory of Mechanical Transmission Chongqing UniversityChongqing 400044China

The stress-controlled fatigue tests are carried out at a stress ratio of 0.1 and a frequency of 10 Hz,and span both low-cycle and high-cycle regimes by varying the applied stress *** high-cycle fa-tigue regime gives a fatigue strength of 497 MPa and a fatigue ratio of *** equivalent conditions,the alloy’s fatigue strength is greater than all other high-entropy alloys(HEAs)with reported high-cycle fatigue data,dilute body-centered cubic alloys,and many structural alloys such as steels,titanium al-loys,and aluminum *** in-depth analyses of crack-propagation trajectories,fracture-surface morphologies and deformation plasticity by means of various microstructural analysis techniques and theoretical frameworks,the alloy’s remarkable fatigue resistance is attributed to delayed crack initiation in the high-cycle regime,which is achieved by retarding the formation of localized persistent slip bands,and its good resistance to crack propagation in the low-cycle regime,which is accomplished by intrin-sic toughening backed up by extrinsic ***,the stochastic nature of the fatigue data is neatly captured with a 2-parameter Weibull model.

关键词： Fatigue mechanisms Intrinsic toughening Extrinsic toughening Probabilistic modeling

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A Novel Smart Facial Features for Real-Time Motorists Sleepiness Prediction and Alerting System Using Hybrid Deep Convolutional Neural Network in Computer Vision 1st

A Novel Smart Facial Features for Real-Time Motorists Sleepi...

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1st International Conference on Innovation and Emerging Trends in Computing and Information Technologies, IETCIT 2024

作者： Senthil, G.A. Prabha, R. Sridevi, S. Deepa, R. Shimona, S. Department of Information Technology Agni College of Technology Chennai India Department of Electronics and Communication Engineering Sri Sai Ram Institute of Technology Chennai India Department of Computer Science and Engineering Vels Institute of Science Technology and Advanced Studies Chennai India Department of Computer Science and Engineering Agni College of Technology Chennai India

ISBN: (纸本)9783031808388

Motorists Sleepiness prediction is a process of detecting when an Operator is experiencing Sleepiness or fatigue while driving a vehicle. This is an important safety feature, as Sleepy driving can lead to accidents and injuries. There are several methods used to predict Operator Sleepiness, including physiological monitoring, behavioural monitoring, and hybrid methods. Physiological monitoring methods like CNN involve measuring the Operator's physiological signals, such as image or video frame processing from a camera. These frames can provide information about the Operator's level of alertness and can be used to detect Sleepiness. Behavioural monitoring methods that are DCNN on the other hand, involve observing the Operator's behaviour, such as comparing the frames with the processed dataset. This information is mainly used to detect Sleepiness. Hybrid methods combine physiological and behavioural monitoring methods of CNN and DCNN and added to the fuzzy logic algorithm makes an HDCNN (Hybrid Deep Convolutional Neural Network) to provide a more comprehensive assessment of the Operator's level of Sleepiness and improves the accuracy. This article explains techniques to spot the lips and eyes in a video taken during a research project by the Indian institute of Road Safety (IIROS). A footage of the transition from awake to fatigued to drowsy will be captured using the digital camera. The Proposed algorithm's function is to locate the face recognized in a captured video image. The face region is used mostly for its ability to act independently. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Convolutional neural networks

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