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Evaluation and analysis of cutting speed, wire wear ratio, and dimensional deviation of wire electric discharge machining of super alloy Udimet-L605 using support vector machine and grey relational analysis

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Advances in Manufacturing 2018年第2期6卷 225-246页

作者： Somvir Singh Nain Dixit Garg sanjeev Kumar Department of Mechanical Engineering National Institute of Technology Kurukshetra 136119 India Department of Mechanical Engineering PEC University of Technology Chandigarh 160012 India

The current study investigates the behavior of wire electric discharge machining （WEDM） of the super alloy Udimet-L605 by employing sophisticated machine learning approaches. The experimental work was designed on the basis of the Taguchi orthogonal L27 array, consid- ering six explanatory variables and evaluating their influ- ences on the cutting speed, wire wear ratio （WWr）, and dimensional deviation （DD）. A support vector machine （SVM） algorithm using a normalized poly-kernel and a radial-basis flow kernel is recommended for modeling the wire electric discharge machining process. The grey rela- tional analysis （GrA） approach was utilized to obtain the optimal combination of process variables simultaneously, providing the desirable outcome for the cutting speed, WWr, and DD. Scanning electron microscope and energy dispersive X-ray analyses of the samples were performed for the confirmation of the results. An SVM based on the radial-basis kernel model dominated the normalized poly- kernel model. The optimal combination of process vari- ables for a mutually desirable outcome for the cutting speed, WWr, and DD was determined as Ton1, Toffa, Ip1, WT3, SV1, and WF3. The pulse-on time is the significant variable influencing the cutting speed, WWr, and DD. The largest percentage of copper （8.66%） was observed at the highest cutting speed setting 7.05% of copper at the low of the machine compared to cutting speed setting of the machine.

关键词： Support vector machine (SVM) Greyrelational analysis (GrA) Wire electric dischargemachining (WEDM) Udimet-L605 Scanning electronmicroscope (SEM) Wire wear ratio (WWr)

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Machine learning prediction models for ground motion parameters and seismic damage assessment of buildings at a regional scale

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resilient Cities and Structures 2024年第1期3卷 84-102页

作者： sanjeev Bhatta Xiandong Kang Ji Dang Graduate School of Civil and Environmental Engineering Saitama UniversitySaitamaJapan Beijing Earthquake Agency BeijingChina

This study examines the feasibility of using a machine learning approach for rapid damage assessment of rein-forced concrete(rC)buildings after the *** the real-world damaged datasets are lacking,have limited access,or are imbalanced,a simulation dataset is prepared by conducting a nonlinear time history *** machine learning(ML)models are trained considering the structural parameters and ground motion characteristics to predict the rC building damage into five categories:null,slight,moderate,heavy,and *** random forest classifier(rFC)has achieved a higher prediction accuracy on testing and real-world damaged *** structural parameters can be extracted using different means such as Google Earth,Open Street Map,unmanned aerial vehicles,***,recording the ground motion at a closer distance requires the installation of a dense array of sensors which requires a higher *** places with no earthquake recording station/device,it is difficult to have ground motion *** that different ML-based regressor models are developed utilizing past-earthquake information to predict ground motion parameters such as peak ground acceleration and peak ground *** random forest regressor(rFr)achieved better results than other regression models on testing and validation ***,compared with the results of similar research works,a better result is obtained using rFC and rFr on validation *** the end,these models are uti-lized to predict the damage categories of rC buildings at Saitama University and Okubo Danchi,Saitama,Japan after an *** damage information is crucial for government agencies or decision-makers to respond systematically in post-disaster situations.

关键词： Seismic damage prediction Ground motion parameter Machine learning algorithms Nonlinear time history analysis rC buildings

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Molecular signaling in cancer stem cells of tongue squamous cell carcinoma:Therapeutic implications and challenges

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World Journal of Stem Cells 2023年第5期15卷 438-452页

作者： Priyanka Joshi sanjeev Waghmare Stem Cell Biology Group Cancer Research InstituteAdvanced Centre for Treatment Research and Education in CancerTata Memorial CentreNavi Mumbai 410210India

Head and neck squamous cell carcinoma is the seventh most common cancer worldwide with high mortality *** oral cavity cancers,tongue carcinoma is a very common and aggressive oral cavity *** the implementation of a multimodality treatment regime including surgical intervention,chemo-radiation as well as targeted therapy,tongue carcinoma shows a poor overall 5-year survival pattern,which is attributed to therapy resistance and recurrence of the *** presence of a rare population,i.e.,cancer stem cells(CSCs)within the tumor,are involved in therapy resistance,recurrence,and distant metastasis that results in poor survival *** agents targeting CSCs have been in clinical trials,although they are unable to reach into therapy stage which is due to their failure in trials.A more detailed understanding of the CSCs is essential for identifying efficient *** signaling pathways,which are differentially regulated in the CSCs,are one of the promising targets to manipulate the CSCs that would provide an improved *** this review,we summarize the current understanding of molecular signaling associated with the maintenance and regulation of CSCs in tongue squamous cell carcinoma in order to emphasize the need of the hour to get a deeper understanding to unravel novel targets.

关键词： Head and neck squamous cell carcinoma Cancer stem cells Signaling Tongue squamous cell carcinoma

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Numerical analysis of the return flow solar air heater(rF-SAH)with assimilation of V-type artificial roughness

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Energy and Built Environment 2024年第2期5卷 185-193页

作者： Prashant raturi Hemlata Deolal sanjeev Kimothi Department of Mechanical Engineering Swami Rama Himalayan University Dehradun248140India Department of Mechanical Engineering DIT UniversityDehradun248001India Division of research&Innovation Dept.of PhysicsUttaranchal University248007India

A novel design of return Flow Solar Air Heater(rFSAH)with different arrangements of baffles especially V-Type Artificial roughness is simulated and numerically analyzed with energy balance *** enhance the effectiveness of baffles,numerous studies have been *** performance of the rFSAH is studied in terms of thermal efficiency,thermo-hydraulic efficiency,and optimization of baffle *** Thermal efficiency and thermo-hydraulic efficiency are found in rFSAH with baffle on both sides of the absorber plate and mass flow rate above 0.2kg/*** analysis of the influencing parameters is carried out and reported the best performance of the system on selective geometrical parameters(ψ=0.7,β=20%,e/H=1,p/e=0.8,α=60°).The results obtained from the present model are validated with the published experimental results and have been found in quite reasonable agreement with an average error of 16.45%.Thermal and Thermohydraulic efficiency of rFSAH with a baffle on both sides of the absorber plate is maximum among baffles below,above,and on both sides of the absorber *** is observed that the thermal efficiency of rFSAH is greater than *** proposed optimum baffles roughness is suggested to increase the air upholding time period for more efficient output.

关键词： Numerical analysis Energy Balance Equations Thermal Efficiency return flow solar air heater V-baffles

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Deep Learning-Assisted OFDM Detection with Hardware Impairments

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Journal of Communications and Information Networks 2023年第4期8卷 378-388页

作者： Amit Singh sanjeev Sharma Kuntal Deka Vimal Bhatia Indian Institute of Technology(IIT)BHU Varanasi Varanasi 221005India Indian Institute of Technology(IIT)Guwahati Guwahati 781039India Indian Institute of Technology(IIT)Indore Indore 452020India

This paper introduces a deep learning(DL)algorithm for estimating doubly-selective fading channel and detecting signals in orthogonal frequency division multiplexing(OFDM)communication systems affected by hardware impairments(HIs).In practice,hardware imperfections are present at the transceivers,which are modeled as direct current(DC)offset,carrier frequency offset(CFO),and in-phase and quadrature-phase(IQ)imbalance at the transmitter and the receiver in OFDM *** HIs,the explicit system model could not be mathematically derived,which limits the performance of conventional least square(LS)or minimum mean square error(MMSE)***,we consider time-frequency response of a channel as a 2D image,and unknown values of the channel response are derived using known values at the pilot locations with DL-based image super-resolution,and image restoration ***,a deep neural network(DNN)is designed to fit the mapping between the received signal and transmit symbols,where the number of outputs equals to the size of the modulation *** show that there are no significant effects of HIs on channel estimation and signal detection in the proposed DL-assisted *** proposed DL-assisted detection improves the OFDM performance as compared to the conventional LS/MMSE under severe Hls.

关键词： OFDM DL HIs channel estimation signal detection

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ENHANCED FLUOrESCENCE IMAGING WITH DMSO-MEDIATED OPTICAL CLEArING

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Journal of Innovative Optical Health Sciences 2010年第3期3卷 153-158页

作者： sanjeev KArMA JAMES HOMAN CHArLES STOIANOVICI BErNArD CHOI Department of Biomedical Engineering University of California IrvineCA 92697USA Department of Developmental and Cell Biology University of California IrvineCA 92697USA Department of Chemistry University of California IrvineCA 92612USA Beckman Laser Institute University of California IrvineCA 92612USA Edwards Lifesciences Center for Advanced Cardiovascular Technology University of California IrvineCA 92697USA

recent studies have demonstrated that topical application of glycerol on intact skin does not affect its optical scattering *** from our research group recently revisited the use of dimethyl sulfoxide(DMSO)as an agent with optical clearing *** address the use of optical clearing to enhance quantitation of subsurface fluorescence *** employed both in vitro and in vivo model systems to study the effect of topical DMSO application on fluorescence *** in vitro experiments performed on a tissue-simulating phantom suggest that DMSO-mediated optical clearing enables enhanced characterization of subsurface *** topical DMSO application,a marked increase in fluorescence emission was *** 30 min,the fluorescence signal at the DMSO-treated site was 9×greater than the contralateral saline-treated *** ratio increased to 13×at 105 min after agent *** summary,DMSO is an effective optical clearing agent for improved fluorescence emission quantitation and warrants further study in preclinical in vivo *** on outcomes from previous clinical studies on the toxicity profile of DMSO,we postulate that clinical application of DMSO as an optical clearing agent,can be performed safely,although further study is warranted.

关键词： Glycerol spectroscopy fluorescein toxicity

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In-situ condition monitoring of reinforced concrete structures

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Frontiers of Structural and Civil Engineering 2016年第4期10卷 420-437页

作者： sanjeev Kumar VErMA Sudhir Singh BHADAUrIA1 Saleem AKHTAr Department of Civil Engineering Technocrats Institute of Technology Anand Nagar BhopaL Madhya Pradesh India Department of Ctvd Engmeermg Institute of Technology Rajiv Gandhi Technological University Airport Road Bhopal MadhyaPradesh India

Performance of concrete structures is significantly influenced and governed by its durability and resistance to environmental or exposure conditions, apart from its physical strength. It can be monitored, evaluated and predicted through modeling of physical deterioration mechanisms, performance characteristics and parameters and condition monitoring of in situ concrete structures. One such study has been conducted using Non-destructive testing equipment in the city of Bhopal and around located in India. Some selected parameters influencing durability of reinforced concrete （rC） structures such as concrete cover, carbonation depth, chloride concentration, half cell potential and compressive strength have been measured, for establishing correlation among various parameters and age of structures. Effects of concrete cover and compressive strength over the variation of chloride content with time are also investigated.

关键词： concrete carbonation chloride corrosion monitoring models

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Impact of Hierarchical Architecture of Cryptotermes brevis Wing on the Modulation of Bacterial Adhesion

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Journal of Bionic Engineering 2022年第2期19卷 516-529页

作者： sanjeev Kumar Paikra Sumit Mukherjee Nibedita Nayak Janmejaya Bag Monalisa Mishra Neural Developmental Biology Laboratory Department of Life ScienceNational Institute of Technology769008RourkelaSundergarhOdishaIndia

The wing architecture is an inspiration to fabricate novel materials with exquisite *** current study characterizes the structure and biological function of a termite’s *** topography of the surface of the wing was studied by electron microscopy,and surface *** physicochemical property of the surface was analyzed by Fourier transform infrared spectroscopy,X-ray diffraction spectroscopy,energy-dispersive X-ray spectroscopy,and gas chromatography-mass spectrometry analysis of the epicuticle *** Contact Angle measurement confirmed the hydrophobicity of the wing *** microorganisms come in contact with the surface of the wing,they adhere to the wing surface due to cell surface properties of their own and the surface chemistry of the *** current study reported the adhesion behavior of two bacterial *** bactericidal activity of the wing was confirmed by counting the bacterial cell viability and examination under a confocal laser scanning *** of bacteria was observed under the electron *** oxidative stress,the topography of the wing,and the surface chemistry of the wing are the crucial factors that induce bactericidal *** nanostructure along with the chemical composition of the wing can be mimicked for the fabrication of novel material with antibacterial properties.

关键词： Bacterial adhesion Bactericidal Chitin Nanostructure Pseudomonas aeruginosa Staphylococcus aureus

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Statin Therapy Decreases Proteinuria in the Patients with Cardiovascular and/or renal Disease

Statin Therapy Decreases Proteinuria in the Patients with Ca...

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作者： sanjeev NIrALA 昆明医科大学

学位级别：硕士

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Preventing the re-emergence of Deadly Nipah Virus

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Infectious Microbes & Diseases 2024年第4期6卷 170-176页

作者： Satvik Tyagi sanjeev Sahai Shalini Upadhyay Department of Microbiology Amar Shaheed Jodha Singh Attaiya Thakur Dariyao Singh Medical CollegeFatehpurUttar PradeshIndia

The Indo-Bangladesh region frequently suffers from periodic Nipah virus(NiV)*** is a zoonotic agent that can be transmitted from animals to humans and also from humans to *** infections may cause deadly neurological dysfunctions with a fatality rate of up to 75%.Various methods have been developed to diagnose NiV infections at different stages of the disease,but there is currently no specific antiviral treatment or vaccine *** outbreaks are mostly endemic;however,the high susceptibility of the human population,high mutation rates of the viral rNA genome and the possibility of human-to-human transmission in this era of globalization enable NiV to potentially cause a *** prevent serious consequences of NiV outbreaks,international deliberation on risk assessment,investigation of the molecular and genetic aspects of NiV,pertinent measures of surveillance and framing of general guidelines for its management should be *** review underlines the basic information available in the literature and its application for further research to reach a solution for mitigation of such catastrophic infections.

关键词： Nipah virus endemic fatal infection Indo-Bangladesh region respiratory infection outbreak zoonosis

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