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Mossbauer,optical and structural properties of Fe^(3+) ion in borate glass

Journal of Rare Earths 2025年第1期43卷 162-170,I0006页

作者： Essam A.Elkelany Hesham Y.Amin A.Samir M.M.EL-Hady H.H.El-Bahnasawy Moukhtar A.Hassan Basic Science department Faculty of EngineeringSinai UniversityAl-Arish45511Egypt School of Information and electrical engineering Hangzhou City UniversityHangzhou30015China State Key Laboratory of Modern Optical instrumentation College of Optical Science and EngineeringZhejiang UniversityHangzhou310027China Basic Science department Faculty of Engineering at ShoubraBenha University11629Egypt Physics department Faculty of ScienceAl-Azhar University11884CairoEgypt

Lanthanum-bearing iron lithium borate glass is a quaternary system for oxide glasses and was prepared via the melt-quenching *** present article correlates the structure,optical,ligand field and M?ssbauer data on iron lithium borate glass co ntaining La^(3+).The density was measured,while the molar volume was *** physical parameters are *** increasing the La_(2)O_(3) content within the glass network,infrared spectra analysis reveals structural modifications such as the increase in BO_(4) units and the decline in both BO_(3) units and NBO bonds ***,optical absorption spectra were *** absorption spectra disclose a plethora of electronic transitions that are related to Fe^(3+)in tetrahedral and octahedral sites,however,Fe^(2+)phase is not observed in optical spectra,but it has a clear signature in M?ssbauer ***,the glass absorption edges undergo a clear blue shift,reflecting an increased band gap energy(1.96-2.28 eV).The decline in NBO bonds justifies this ***,the values of crystal field splitting are increased,while the values of Racah parameters are *** trend is justified by the decline in NBO bonds and increases electron localization around Fe cations.M?ssbauer spectra confirm the existence of Fe^(3+)in tetrahedral and octahedral sites,while Fe^(2+)exists in only a tetrahedral *** increasing La_(2)O_(3) content,the isomer shift of Fe^(3+)in tetrahedral sites changes to be 0.312-0.329 mm/s,while the isomer shift of octahedral Fe^(3+)is 0.424-0.456 mm/*** findings coincide with optical *** the isomer shift of tetrahedral Fe^(2+)is 0.902-0.911 mm/*** results of structural,optical and ligand field associated with M?ssbauer spectra open more vistas toward the utility of these samples in the optics realm.

关键词： Fe3+ions Rare-earth oxide Mossbauer spectra Ligand field parameters Optical properties

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High-Precision Sub-Seafloor Velocity Building Based on Joint Tomography and Deep Learning on OBS Data in the South China Sea

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Journal of Earth Science 2025年

作者： Guoxin Chen Jun Li Jinxin Chen Rongsen Du Yutao Liu Yuli Qi Chun Feng Li Xingguo Huang department of Marine Sciences Zhejiang University Hainan Institute Zhejiang University Chinese Academy of Sciences Institute of Software National Key Laboratory of Space Integrated Information System College of instrumentation and electrical engineering Jilin University

INTRODUCTION Crustal velocity model is crucial for describing the subsurface composition and structure, and has significant implications in offshore oil and gas exploration and marine geophysical engineering(Xie et al., 2024). Currently, travel time tomography is the most commonly used method for velocity modeling based on ocean bottom seismometer(OBS) data(Zhang et al., 2023; Sambolian et al., 2021).

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Feasibility of Grid-connected Solar-wind Hybrid System with Electric Vehicle Charging Station

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Journal of Modern Power Systems and Clean Energy 2021年第2期9卷 295-306页

作者： Shakti Singh Prachi Chauhan Nirbhow Jap Singh the department of electrical and instrumentation engineering Thapar Institute of Engineering and TechnologyPatialaIndia

Recently,renewable power generation and electric vehicles(EVs)have been attracting more and more attention in smart *** paper presents a grid-connected solar-wind hybrid system to supply the electrical load demand of a small shopping complex located in a university campus in ***,an EV charging station is incorporated in the *** analysis is performed for the proposed setup to satisfy the charging demand of EVs as well as the electrical load demand of the shopping *** proposed system is designed by considering the cost of the purchased energy,which is sold to the utility grid,while the power exchange is ensured between the utility grid and other components of the *** sizing of the component is performed to obtain the least levelized cost of electricity(LCOE)while minimizing the loss of power supply probability(LPSP)by using recent optimization *** results demonstrate that the LCOE and LPSP for the proposed system are measured at 0.038$/k Wh and0.19%with a renewable fraction of 0.87,*** is determined that a cost-effective and reliable system can be designed by the proper management of renewable power generation and load *** proposed system may be helpful in reducing the reliance on the over-burdened grid,particularly in developing countries.

关键词： Charging station electric vehicle(EV) optimization solar photovoltaic(SPV)panels wind turbine

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Spectral and mathematical evaluation of electromyography signals for clinical use

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International Journal of Biomathematics 2016年第6期9卷 263-272页

作者： Karan Veer electrical and instrumentation engineering department thapar university Patiala 174001 India

The surface electromyography （SEMG） is a complicated biomedical signal, generated during voluntary or involuntary muscle activities and these muscle activities are always controlled by the nervous system. In this paper, the processing and analysis of SEMG signals at multiple muscle points for different operations were carried out. Myoelectric signals were detected using designed acquisition setup which consists of an instrumenta- tion amplifier, filter circuit, an amplifier with gain adjustment. Fhrther, Labview^-based data programming code was used to record SEMG signals for independent activities. The whole system consists of bipolar noninvasive electrodes, signal acquisition protocols and signal conditioning at different levels. This work uses recorded SEMG signals generated by biceps and triceps muscles for four different arm activities. Feature extraction was done on the recorded signal for investigating the voluntary muscular contraction relationship for exercising statistic measured index method to evaluate distance between two independent groups by directly addressing the quality of signal in separability class for different arm movements. Thereafter repeated factorial analysis of variance technique was implemented to evaluate the effectiveness of processed signal. From these results, it demonstrates that the proposed method can be used as SEMG feature evaluation index.

关键词： Electromyogram muscle movements ANOVA noninvasive electrode statis-tics upper arm.

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Temperature sensing based on Lorentz resonance and Fano resonance excited in a thin-walled SiO2hollow microrod resonator

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Chinese Optics Letters 2025年第1期 47-52页

作者：杨彬彬康朝烽陈天赐张军唐荻张磊王克逸杨煜 department of Precision Machinery and Precision instrumentation University of Science and Technology of China School of electrical engineering and Automation Hefei University of Technology

A highly sensitive temperature sensor was developed using a thin-walled Si O2hollow microrod resonator（SHMR） to excite Lorentz resonance and Fano resonance. The SHMR has a high Q factor（3.16 × 10～7） and concise resonance modes. Moreover,the SHMR has a small wall thickness, which can effectively improve the sensitivity of the temperature sensor. The experimental results show that the sensitivity reaches 24.78 pm/°C under Lorentz resonance and further improves to 31.28 pm/°C under Fano resonance. By further reducing the wall thickness of the SHMR, the sensitivity under Lorentz resonance is increased to 34.34 pm/°C. The sensor in this study has the advantages of low cost, simple structure, high sensitivity,and satisfactory repeatability.

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A neural network-based electromyography motion classifier for upper limb activities

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Journal of Innovative Optical Health Sciences 2016年第6期9卷 77-84页

作者： Karan Veer Tanu Sharma Ravinder Agarwal electrical and instrumentation engineering department thapar university Computer Science engineering department GCET Ropar 174001India

The objective of the work is to investigate the classifcation of different movements based on the surface electromyogram(SEMG)pattern recognition *** testing was conducted for four arm movements using several experiments with artificial neural network class fication *** time domain features were extracted and consequently dlassification was implemented using back propagation neural dassifier(BPNC).Further,the realization of projected network was verified using cross validation(CV)process;hence ANOVA algorithm was carried *** of the network is analyzed by considering mean square error(MSE)value.A comparison was performed between the extracted feat ures and back propagation network results reported in the *** concurrent result indicates the significance of proposed network with classification accuracy(CA)of 100%recorded from two channels,while analysis of variance technique helps in investigating the effectiveness of classified sigmal for recognition tasks.

关键词： ANN SEMG arm recognition statistics classification RMS upper arm activities

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DeepBio:A Deep CNN and Bi-LSTM Learning for Person Identification Using Ear Biometrics

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Computer Modeling in engineering & Sciences 2024年第11期141卷 1623-1649页

作者： Anshul Mahajan Sunil K.Singla department of electrical and instrumentation engineering Thapar Institute of Engineering and TechnologyPatiala147004India

The identification of individuals through ear images is a prominent area of study in the biometric *** recognition systems have faced challenges during the COVID-19 pandemic due to mask-wearing,prompting the exploration of supplementary biometric measures such as ear *** research proposes a Deep Learning(DL)framework,termed DeepBio,using ear biometrics for human *** employs two DL models and five datasets,including IIT Delhi(IITD-I and IITD-II),annotated web images(AWI),mathematical analysis of images(AMI),and *** augmentation techniques such as flipping,translation,and Gaussian noise are applied to enhance model performance and mitigate *** extraction and human identification are conducted using a hybrid approach combining Convolutional Neural Networks(CNN)and Bidirectional Long Short-Term Memory(Bi-LSTM).The DeepBio framework achieves high recognition rates of 97.97%,99.37%,98.57%,94.5%,and 96.87%on the respective *** analysis with existing techniques demonstrates improvements of 0.41%,0.47%,12%,and 9.75%on IITD-II,AMI,AWE,and EARVN1 datasets,respectively.

关键词： Data augmentation convolutional neural network bidirectional long short-term memory deep learning ear biometrics

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Effective Energy Management Scheme by IMPC

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Intelligent Automation & Soft Computing 2023年第1期35卷 181-197页

作者： Smarajit Ghosh department of electrical and instrumentation engineering Thapar Institute of Engineering&TechnologyPatialaIndia

The primary purpose of the Energy Management Scheme(EMS)is to monitor the energy fluctuations present in the load *** this paper,the improved model predictive controller is adopted for the EMS in the power *** Penguin Optimization(EPO)algorithm optimized Artificial Neural Network(ANN)with Model Predictive Control(MPC)scheme for accurate prediction of load and power forecasting at the time of preoptimizing EMS is *** the power generation,Renewable Energy Sources(RES)such as photo voltaic(PV)and wind turbine(WT)are utilized along with that the fuel cell is also presented in case of failure by the *** a setup is connected with the grid and applies to the household *** improved model predictive control(IMPC),the set of constraints for the powerflow in the system is optimized by the ANN,which is trained by *** a tuning based prediction model is presented in the IMPC *** proposed work is implemented in the MATLAB/Simulink *** energy management capability of the proposed system is analyzed for different atmospheric *** total system cost,life cycle cost and annualized cost for IMPC are 48%,45%and 15%,*** the performance analysis,the cost obtained by the proposed method is very low compared to that obtained by the existing techniques.

关键词： Artificial neural network emperor penguin optimization energy management model predictive control

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Method for Fault Diagnosis and Speed Control of PMSM

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Computer Systems Science & engineering 2023年第6期45卷 2391-2404页

作者： Smarajit Ghosh department of electrical and instrumentation engineering Thapar Institute of Engineering&TechnologyPatialaPunjabIndia

In the field of fault tolerance estimation,the increasing attention in electrical motors is the fault detection and *** tasks performed by these machines are progressively complex and the enhancements are likewise looked for in the field of fault *** has now turned out to be essential to diagnose faults at their very inception;as unscheduled machine downtime can upset deadlines and cause heavy financial *** this paper,fault diagnosis and speed control of permanent magnet synchronous motor(PMSM)is *** Neural Network(ENN)is used to diagnose the fault of permanent magnet synchronous *** the fault location and fault severity are *** this,eccentricity fault may occur in the *** control the speed of the permanent magnet synchronous motor,Dolphin Swarm Optimization(DSO)algorithm is *** proposed work is simulated by using MATLAB in terms of amplitude,speed and *** comparison graph of speed *** obtained by the proposed method gives better result compared to the other existing *** proposed work is also compared with Particle Swarm Optimization(PSO)and Elephant Herding Optimization(EHO)*** proposed usage of Elman Neural Network to detect the fault and the usage of Dolphin Swarm Optimization algorithm to control the speed of the permanent magnet synchronous motor gives better outcome.

关键词： Amplitude electricmotor elephant herding optimization algorithm fault detection partial swarm optimization algorithm permanent magnet synchronous motor

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M?ssbauer,optical and structural properties of Fe3+ ion in borate glass

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Journal of Rare Earths 2025年第1期 162-170页

作者： Essam A.Elkelany Hesham Y.Amin A.Samir M.M.EL-Hady H.H.El-Bahnasawy Moukhtar A.Hassan Basic Science department Faculty of EngineeringSinai University School of Information and electrical engineering Hangzhou City University State Key Laboratory of Modern Optical instrumentation College of Optical Science and EngineeringZhejiang University Basic Science department Faculty of Engineering at ShoubraBenha University Physics department Faculty of ScienceAl-Azhar University

Lanthanum-bearing iron lithium borate glass is a quaternary system for oxide glasses and was prepared via the melt-quenching *** present article correlates the structure,optical,ligand field and M?ssbauer data on iron lithium borate glass co ntaining La3+.The density was measured,while the molar volume was *** physical parameters are *** increasing the La2O3content within the glass network,infrared spectra analysis reveals structural modifications such as the increase in BO4units and the decline in both BO3units and NBO bonds ***,optical absorption spectra were *** absorption spectra disclose a plethora of electronic transitions that are related to Fe3+in tetrahedral and octahedral sites,however,Fe2+phase is not observed in optical spectra,but it has a clear signature in M?ssbauer ***,the glass absorption edges undergo a clear blue shift,reflecting an increased band gap energy（1.96-2.28 eV）.The decline in NBO bonds justifies this ***,the values of crystal field splitting are increased,while the values of Racah parameters are *** trend is justified by the decline in NBO bonds and increases electron localization around Fe cations.M?ssbauer spectra confirm the existence of Fe3+in tetrahedral and octahedral sites,while Fe2+exists in only a tetrahedral *** increasing La2O3content,the isomer shift of Fe3+in tetrahedral sites changes to be 0.312-0.329 mm/s,while the isomer shift of octahedral Fe3+is 0.424-0.456 mm/*** findings coincide with optical *** the isomer shift of tetrahedral Fe2+is 0.902-0.911 mm/*** results of structural,optical and ligand field associated with M?ssbauer spectra open more vistas toward the utility of these samples in the optics realm.

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