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Systematic Stress Detection in CNN Application 10

Systematic Stress Detection in CNN Application

10th International Conference on Reliability, Infocom Technologies and Optimization ,Trends and Future Directions, ICRITO 2022

作者： Mohapatra, Srikanta Kumar Kishore Kanna, R. Arora, Ginni Sarangi, Prakash Kumar Mohanty, Jayashree Sahu, Premananda Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Vels Institute of Science Technology & Advanced Studies Department of Biomedical Engineering Amity University Department of Computer Science and Engineering New Delhi Noida India Hyderabad India Odisha Bhubaneswar India Srm Institute of Science and Technology Srmist UP Ghaziabad India

ISBN: (数字)9781665474337

ISBN: (纸本)9781665474337

Emotional strain is referred to as stress. Both our mental health and the mental health of others around us may be affected. While anxiety is a normal response to stress that may be frightening, it can also cause panic attacks. Everyone needs to address these mental health problems. The method we use to identify stress and anxiety in a person using vocal/audio information is described in this study. We have created a deep neural network model for stress and anxiety detection. Here, Kaggle audio datasets with 7 different emotions―joy, fear, disgust, neutral, sorrow, surprise, and anger―are taken into consideration. To train and evaluate classification algorithms like CNN, these audio datasets are employed. The audio is then pre-processed using acoustic feature extraction, and CNN is used to classify it, providing accuracy based on those seven emotions. This allows us to foretell if the individual is stressed out or anxious. © 2022 IEEE.

关键词： Deep neural networks

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Optimal Voltage Regulation and Energy Efficiency in Photovoltaic Grid system

Optimal Voltage Regulation and Energy Efficiency in Photovol...

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Advances in Signal Processing, Power, Communication, and Computing (ASPCC), IEEE International Conference on

作者： Debarchita Mishra D. Karan C Sanjay Rahul j Benito Micheal Abhsha Arok Biror Abuoi Sharmistha Mandal Department of Electrical and Electronics Engineering Vels Institute of Science Technology and Advanced Studies Chennai India Electrical Engineering Department Aliah University Kolkata India

ISBN: (数字)9798350355093

ISBN: (纸本)9798350355109

Photovoltaic (PV) energy is the most vital renewable energy sources, and it has appeared as a feasible solution to the world’s energy issue. This paper proposes a sophisticated PV integrated architecture including a coupled inductor based second order buck-boost converter, synergized with a particle swarm optimized proportional integral (PSO-PI) controller. With its ability to handle a broad range of input voltages, the converter’s topology is designed to reduce energy losses and improve overall system efficiency. The objective is to guarantee excellent power quality and improve system reliability. To further improve performance, the system also includes a PI controller that is supported by PSO. The output is delivered to the grid via a single-phase voltage source inverter and grid synchronization is attained by the PI controller. The developed research is validated in MATLAB/Simulink and comparison with traditional approaches is conducted. The observed results show better converter efficiency of 92% with higher performance in terms of power quality enhancement.

关键词： Photovoltaic systems Renewable energy sources PI control Voltage source inverters Power quality Signal processing Topology Synchronization Particle swarm optimization Voltage control

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Mitochondrial flashes are interlinked with adaptive thermogenesis in brown adipocytes

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hLife 2024年第4期2卷 179-188页

作者： Xinyu Chen Huwatibieke Bahetiyaer Xuejiao Song Zuzhi Jiang Wenfeng Qi Weizheng Gao Lin Zhang Jue Zhang Heping Cheng Xianhua Wang State Key Laboratory of Membrane Biology Institute of Molecular MedicineCollege of Future TechnologyPeking UniversityBeijingChina Academy for Advanced Interdisciplinary Studies Peking UniversityBeijingChina College of Engineering Peking UniversityBeijingChina Research Unit of Mitochondria in Brain Diseases Chinese Academy of Medical SciencesPKU-Nanjing Institute of Translational MedicineJiangsuChina

Mitochondrial flash(mitoflash)is the electrochemical excitation of a single mitochondrion and plays diverse signaling roles in a variety of *** the viewpoint of bioenergetics,it represents the transient uncoupling of mitochondrial respiration from ATP *** adipose tissue(BAT)produces heat,primarily via mitochondrial uncoupled ***,we aim to illustrate the mitoflash activity in BAT *** show that BAT mitochondria undergo stochastic and intermittent mitoflashes at the levels of isolated mitochondria,cultured brown adipocytes,and even intact BAT.A BAT mitoflash contains multiple signals,including transient depolarization of mitochondrial membrane potential,transient matrix alkalization,and bursting production of reactive oxygen ***,thermogenic activation by b3-adrenergic stimulation dramatically augments mitoflash incidence,with mild effects on its unitary *** of the thermogenic uncoupling protein 1(UCP1)showed little effect on mitoflash biogenesis during heat ***,our results suggest that mitoflash might constitute an elemental signaling activity of mitochondria to regulate BAT thermogenesis.

关键词： mitochondrial flash(mitoflash) mitochondria thermogenesis brown adipocyte

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Comparative study on electroless composite coatings of textured and untextured Al-substrates

Comparative study on electroless composite coatings of textu...

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作者： Singh, Garima Mohanty, Shalini Kumar Singh, Rabesh Rai Dixit, Amit Kumar Sharma, Anuj Centre for Advanced Studies Uttar Pradesh Lucknow226031 India Department of Mechanical and Industrial Engineering Tallinn University of Technology Tallinn12616 Estonia Dhanbad826004 India Department of Mechanical Engineering S R institute of management and technology Bakshi Ka Talab U.P. Lucknow226201 India

In the present work, electroless composite coating of Ni-P-MoS2 is deposited on EDM textured Al-alloy substrate. A comparative study is carried out to analyse the effect of textures (prepared through electrical discharge machining) on the coated surface properties. The coatings were analysed on account of their surface morphology through Field Emission Scanning Electron Microscopy (FESEM), composition using Electron Dispersion Spectroscopy (EDS), surface roughness and topography by means of optical profilometer. Results indicate that the composite coatings produced on the textured surfaces have better deposition as compared to non-textured surfaces. The transfer of different elements i.e., Ni, P, Mo, and S on both the coated surfaces was confirmed from the EDS plots while the profilometer images showed the areal surface roughness parameters. © 2022

关键词： Scanning electron microscopy

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High Speed Neural Network MPPT Algorithm for DFIG Based Wind Energy Conversion System 7

High Speed Neural Network MPPT Algorithm for DFIG Based Wind...

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7th International Conference on Circuit Power and Computing Technologies, ICCPCT 2024

作者： Tharwin Kumar, R. Balaji, V. Sakthidhasan, K. Gomathi, S. Sreedhar, R. Janaki, N. Puducherry Technological University Department of Electrical and Electronics Engineering Puducherry India MAI-NEFHI College of Engineering and Technology Faculty of Electrical and Electronics Engineering Asmara Eritrea Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College Department of Electrical and Electronics Engineering Chennai India St. Joseph's College of Engineering Department of Electrical and Electronics Engineering Chennai India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of Electrical and Electronics Engineering Chennai India Vels Institute of Science Technology and Advanced Studies Department of Electrical and Electronics Engineering Chennai India

ISBN: (纸本)9798350372816

For the generation of electrical energy, breeze energy is a trustworthy and talented renewable vitality basis. An innovative proposal with many scientific and economic benefits is using wind source technology to charge electric vehicles. Worldwide, the market for Wind Energy Conversion System (WECS) has been expanding significantly. High-quality output power is commonly produced when wind energy demand grows. WECS has significant modelling, control, and grid integration issues as a result of the intermittent nature of wind energy. A proper controller mechanism has to be created in order to significantly improve WECS. An innovative method for maximizing the power of wind energy founded on Radial Basis Function Neural Networks (RBFNN) is proposed in this study to increase the power of Double Fed Induction Generators (DFIG). DFIG based wind turbine, and to provide outstanding dynamic performance in response to breeze rapidity fluctuations. MPPT is a strong algorithm that operates around an ideal rotating speed by utilizing RBFNN for mechanical speed control. We evaluated the performance of DFIG founded WECS with MATLAB/Simulink. The RBFNN efficiency is 91% when comparing MPPT controllers. © 2024 IEEE.

关键词： Radial basis function networks

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Performance analysis of Micro-blowers for the design of Micro Automatic Positive Airway Pressure System for Obstructive Sleep Apnea Treatment 16

Performance analysis of Micro-blowers for the design of Micr...

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16th International Conference on Sensing technology, ICST 2023

作者： Priya, L. Vidhyapriya, R. Mathu Mitha, V. Venkataraman, K.K. Nandagopal, V. Muthupavithran, M. Sri Ramakrishna Engineering College Department of Biomedical Engineering Tamil Nadu Coimbatore India Psg College of Technology Department of Biomedical Engineering Tamil Nadu India Nanotech Research Innovation and Incubation Centre Psg Institute of Advanced Studies Department of Electronics and Communication Engineering Tamil Nadu India Institute of Lung Care & Research Hindusthan Hospital Tamil Nadu India

ISBN: (纸本)9798350395341

Obstructive Sleep Apnea (OSA) is a condition, in which during the sleep the upper airway is obstructed due to the throat muscles relaxation. The conventional systems used for treatment of OSA are Continuous positive airway pressure (CPAP) and Automatic positive airway pressure (APAP) devices which deliver required air pressure to open the airway obstruction. The major drawback of these systems is the presence of tubing that tangles around the patient's neck causing discomfort and curbs the freedom of sleep position during sleep. This research work aims at analysing and selecting Micro-Electro-Mechanical System (MEMS) based micro-blowers for the design of an APAP system. It is planned to design a hoseless APAP system which embeds the APAP system within a face mask. Five different micro blowers such as Murata MZB1001T02, Delta BSB01703HA300CAJ, TF029B-1000F, TF037F-2000F, Sunon UB5U3-700 have been identified based on weight, flow rate, pressure and operating voltage. The performance metrics such as air pressure, flow specifications, current and power consumption of these 5 different micro-blowers are analysed for the effective use in the hoseless APAP system. Two micro-blowers namely, TF029B-1000F and UB5U3-700 were found to deliver the required pressure and air flow as per the conventional APAP systems. TF029B micro-blowers were used for the design of hoseless APAP device as it weighs less compared to TF037F micro-blower. This hoseless APAP device does not disturb the patients when changing their sleep position. It is acting as a user comfortable sleep aiding device compared to existing CPAP/APAP devices available in the market. © 2023 IEEE.

关键词： MEMS

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Fostering environmental sustainability of leather industry: environmental impact assessment and improvement prospects for leather-tanning technologies

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Environmental Science and Pollution Research 2024年 1-18页

作者： Daddi, Tiberio Ahmad, Shamraiz Albano, Francesca Sant’Anna School of Advanced Studies Institute of Management Piazza Martiri Della Libertà 33 Pisa56127 Italy Ergo S.R.L. Via Oberdan 11 PI Pisa56127 Italy School of Mechanical and Manufacturing Engineering National University of Sciences and Technology Islamabad44000 Pakistan Interdepartmental Research Center for Environmental Sciences University of Bologna Ravenna48123 Italy

Because of various negative impacts of chromium intensive manufacturing, the leather-based fashion industry is under pressure to use environmentally friendly tanning technologies. However, there is a lack of scientific research that evaluates the environmental impacts of novel tanning processes. Thus, this study is aimed to quantify and compare the environmental impacts of traditional chromium-based process and a novel metal-free tanning technology. The novel metal-free technology is based on synthetic tannins, instead of metal or vegetable-based tannins. To achieve the objectives, a detailed life cycle assessment was done for 1 m2 of finished leather. The primary data were gathered from two different leather manufacturing plants located in the same Italian municipality and the background data were extracted from the Ecoinvent database. SimaPro 9.4 was used as the modeling software tool, and the impacts were evaluated for midpoint impact categories. For the novel metal-free tanning technology, the results revealed a significant reduction in various impact categories, such as particulate matter impacts were reduced by 25%, human toxicity (non-carcinogenic) by 31%, human toxicity (carcinogenic) by 56%, and acidification by 29%. Overall, based on single point performance score, the novel metal-free tanning system showed 18.4% less environmental impacts than the chrome-based tanning. For the most relevant impact categories, the novel metal-free tanning system again showed significantly less impact. The cattle breeding phase contributed most to various relevant impact categories, including acidification, particulate matter, and terrestrial eutrophication. Two alternative scenarios were also developed and evaluated to show how the solar energy may help further reduce the environmental impacts. A sensitivity analysis was also carried out to see the influence of uncertainty linked with the choice of thermal energy source. Overall, the study highlighted how the green tanning

关键词： Eutrophication

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Effect of Fe_(3)O_(4) nanoparticles on magnetic xerogel composites for enhanced removal of fluoride and arsenic from aqueous solution

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Water Science and engineering 2022年第4期15卷 305-317页

作者： Sasirot Khamkure Victoria Bustos-Terrones Nancy Jakelin Benitez-Avila María Fernanda Cabello-Lugo Prócoro Gamero-Melo Sofía Esperanza Garrido-Hoyos Juan Marcos Esparza-Schulz Postgraduate Department National Council for Science and Technology(CONACyT)-Mexican Institute of Water TechnologyMorelos 62574Mexico Department of Environmental Technology Engineering Polytechnic University of the State of MorelosMorelos 62550Mexico Department of Sustainability of Natural Resources and Energy Center for Research and Advanced Studies of the National Polytechnic InstituteCoahuila 25900Mexico Department of Chemistry Metropolitan Autonomous University Campus IztapalapaMexico City 09340Mexico

Fe_(3)O_(4)magnetic xerogel composites were prepared by polycondensation of resorcinol(R)-formaldehyde reaction via a sol-gel process in an aqueous solution through varying the molar ratio of Fe_(3)O_(4)nanoparticles(MNPs),catalyst(C),and water(W)*** were obtained by co-precipitation(MC),oxidation of iron salts(MO),or solvothermal synthesis(MS).Both MNPs and magnetic xerogels were examined regarding the performance of arsenic and fluoride removal in a batch *** MC-based MNPs had higher adsorption capacities for both fluoride(202.9 mg/g)and arsenic(3.2 mg/g)than other MNPs in optimum *** X-ray diffraction,Fourier transform infrared spectroscopy,and energy-dispersive X-ray spectroscopy confirmed that Fe was composed into the polymeric matrix of magnetic xerogels that contained 0.59%-4.42%of Fe with a molar ratio of MNPs(M)to R between 0.01 and *** low R/C and optimum M/R ratios,an increase in the surface area of magnetic xerogels affected the fluoride and arsenic adsorption *** magnetic xerogel composites with the MC-based MNPs prepared at a fixed R/C ratio(100)and at different R/W(0.05-0.06)and M/R(0.07-0.10)ratios had a high arsenic removal efficiency of 100%at an As(V)concentration of 0.1 mg/L and pH of *** maximum adsorption capacities of magnetic xerogels were approximately five times higher than those of the xerogels without MNP ***,Fe_(3)O_(4)nanoparticles enhanced the adsorption of arsenate and *** variations of alkaline catalyst and water content significantly affected the resulting properties of textural and surface chemistry of magnetic xerogel composites.

关键词： Adsorption Arsenic Fluoride Composite Magnetite nanoparticles Xerogel

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Design,synthesis,and biological evaluation of 1,2,4-triazole derivatives as potent antitubercular agents

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Chinese Chemical Letters 2024年第3期35卷 326-331页

作者： Yu Wen Shichun Lun Yuxue Jiao Wei Zhang Tianyu Hu Ting Liu Fan Yang Jie Tang Bing Zhang William R.Bishai Li-Fang Yu Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development School of Chemistry and Molecular EngineeringEast China Normal UniversityShanghai 200062China Center for Tuberculosis Research Department of MedicineDivision of Infectious DiseaseJohns Hopkins School of MedicineBaltimoreMD21231-1044United States Shanghai Institute for Advanced Immunochemical Studies and School of Life Science and Technology ShanghaiTech UniversityShanghai 201210China Shanghai Key Laboratory of Green Chemistry and Chemical Process School of Chemistry and Molecular EngineeringEast China Normal UniversityShanghai 200062China

Inhibition of mycobacterial membrane protein large 3(MmpL3)thereby affecting the mycolic acid biosynthetic pathway has been proven to be an effective strategy for developing antitubercular *** on the X-ray crystal structure of MmpL3 inhibitor complexes,a series of novel 1,2,4-triazole derivatives were designed,synthesized and evaluated antitubercular activity against Mtb strain *** structure–activity relationship exploration resulted in the identification of compounds 21 and 28,which possess potent antitubercular activity against Mtb strain H37Rv[minimum inhibitory concentration(MIC)=0.03–0.13μg/mL]and the clinical isolates of multidrug resistance(MDR)and extensive drug resistance(XDR)tuberculosis(MIC=0.06–1.0μg/mL).Moreover,compounds 21 and 28 showed neglectable cytotoxicity(IC_(50)≥32μg/mL)to the mammalian Vero cells and favorable physicochemical and pharmacokinetic properties according to the in silico absorption,distribution,metabolism and excretion(ADME)***,the potential target of representative 1,2,4-triazole 28 was identified to be MmpL3 using a microscale thermophoresis(MST)assay.

关键词： Tuberculosis MDR and XDR-TB MmpL3 inhibitor 1 2 4-Triazole Structure-based drug design

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Artificial Intelligence for Irrigation System Optimization: Leveraging Predictive Analytics to Enhance Water Management and Decrease Agricultural Resource Consumption

Artificial Intelligence for Irrigation System Optimization: ...

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2025 IEEE International Conference on Computational, Communication and Information technology, ICCCIT 2025

作者： Pandi, V. Samuthira Kura, Prashanth Aruna, V. Kumar, K. Suresh Nirmala, D. Kumar, S. Rajesh Centre for Advanced Wireless Integrated Technology Chennai Institute of Technology Tamil Nadu Chennai India AVS Solutions Inc. 6010 W SPRING PKWY STE 339 PlanoTX7502 United States St.Joseph's Institute of Technology Department of Management Studies Tamil Nadu Chennai India Panimalar Engineering College Department of MBA Tamil Nadu Chennai India Rajalakshmi Engineering College Department of ECE Tamil Nadu Chennai India Tamil Nadu Chennai India

ISBN: (纸本)9798331512965

Irrigation system optimization is of utmost importance for sustainable agriculture in light of the growing worldwide water shortage caused by climate change and rising agricultural needs. In order to improve water management techniques and decrease agricultural resource use, this project investigates the use of AI and predictive analytics. An intelligent irrigation system that adapts water distribution in real-time according to predictive analytics is created in this study by combining state-of-the-art machine learning algorithms with real-time data from a variety of sources, such as weather predictions, soil moisture levels, and crop water needs. In order to reduce water waste and maximize irrigation efficiency, the suggested framework uses past data to train artificial intelligence models. Results from field studies on a variety of crops show that water efficiency has been improved, allowing for 30% reductions in irrigation water use without sacrificing or diminishing crop yields. Sustainable farming practices and better resource management are two additional benefits that farmers reap from using AI-driven insights to inform their decision-making. This research emphasizes the revolutionary power of AI to update irrigation methods, leading to more robust agricultural systems. This study highlights the significance of data-driven methods to water management in achieving food security and environmental sustainability through the integration of technology and agriculture. If we want to see optimal irrigation practices adopted all throughout the world, our next step is to improve the predictive models and make the framework function in more diverse agricultural settings. © 2025 IEEE.

关键词： Soil moisture

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