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Improving optomechanical gyroscopes by coherent quantum noise cancellation processing

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Science China(Physics,Mechanics & Astronomy) 2018年第9期61卷 19-25页

作者： Kai Li sankar davuluri Yong Li Beijing Computational Science Research Center Beijing 100193 China Synergetic Innovation Center for Quantum Effects and Applications Hunan Normal University Changsha 410081 China

Coherent quantum noise cancellation(CQNC) method is used to beat standard quantum limit(SQL) for improving the performance of quantum optomechanical gyroscopes. The protocol for realizing CQNC is achieved by constructing an effective negative mass mechanical oscillator, which is simulated by an ancillary cavity. This oscillator shows an antiresponse relative to that of a real mechanical oscillator. Thus, the optomechanical back-action noise is counteracted or restrained, and we could increase our signal by increasing the coupling strength without increasing the noise.

关键词： CQNC optomechanics gyroscope

Optomechanical Gyroscope

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Optomechanical Gyroscope

A Study on the Explainability of Thyroid Cancer Prediction:SHAP Values and Association-Rule Based Feature Integration Framework

第十八届全国量子光学学术会议

作者：李勇 sankar davuluri Kai Li 北京计算科学中心 Beijing Computational Science Research Center(CSRC)

Inertial navigation system（INS） is an essential component in modern day appliances from smart phone to rockets that go in to outer space. In fact, INS is the only way to navigate in remote places, like deep sea, outer space, and remote places on Earth, where we are disconnected from the civilization. An INS is a self-sufficient unit which can give us information about instantaneous location without requiring any additional unit. Gyroscopes and accelerometers are two fundamental component of INS. We have studied advancing the gyroscope technology by using the recently emerged field of optomechanics. Optomechanical oscillators（OMO） are miniaturized spring-mass like systems which are very sensitive to any external force acting on them. They use OMOs to sense the rotation induced forces like Coriolis force to estimate the angular velocity of absolute rotation. This gives us the information about directional orientation. The first advantage of these devices is that they can also be used as accelerometers, which is another vital component of INS, as they can detect non-inertial force while accelerating. The advantage of detecting Coriolis force is that it can be modulated to be on resonance with the OMO. Hence, we can maximize the coupling between OMO and the rotation induced Coriolis force. Unlike the conventional Sagnac gyroscopes, OMO gyroscopes do not depend on the size and perimeter of the system. Hence, OMO gyroscopes can be miniaturized without compromising the gyroscope’s sensitivity. While OMO gyroscopes are very useful in practical application, they also can potentially play a crucial role in verifying fundamental physics concepts of relativity. Recent advances in the field of optomechanics has led to development of OMO whose sensitivity is limited by fundamental quantum aspects like back-action noise and zero-point fluctuations from thermal noise. Moreover, we have shown how the coherent quantum noise cancellation（CQNC） schemes can be used to improve the gyrosc

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Computers, Materials & Continua 2024年第5期79卷 3111-3138页

作者： Sujithra sankar S.Sathyalakshmi Department of Computer Applications Hindustan Institute of Technology and ScienceChennaiTamil NaduIndia Department of Computer Engineering Hindustan Institute of Technology and ScienceChennaiTamil NaduIndia

In the era of advanced machine learning techniques,the development of accurate predictive models for complex medical conditions,such as thyroid cancer,has shown remarkable *** predictivemodels for thyroid cancer enhance early detection,improve resource allocation,and reduce ***,the widespread adoption of these models in clinical practice demands predictive performance along with interpretability and *** paper proposes a novel association-rule based feature-integratedmachine learning model which shows better classification and prediction accuracy than present *** study also focuses on the application of SHapley Additive exPlanations(SHAP)values as a powerful tool for explaining thyroid cancer prediction *** the proposed method,the association-rule based feature integration framework identifies frequently occurring attribute combinations in the *** original dataset is used in trainingmachine learning models,and further used in generating SHAP values *** the next phase,the dataset is integrated with the dominant feature sets identified through association-rule based *** new integrated dataset is used in re-training the machine learning *** new SHAP values generated from these models help in validating the contributions of feature sets in predicting *** conventional machine learning models lack interpretability,which can hinder their integration into clinical decision-making *** this study,the SHAP values are introduced along with association-rule based feature integration as a comprehensive framework for understanding the contributions of feature sets inmodelling the *** study discusses the importance of reliable predictive models for early diagnosis of thyroid cancer,and a validation framework of *** proposed model shows an accuracy of 93.48%.Performance metrics such as precision,recall,F1-score,and the area un

关键词： Explainable AI machine learning clinical decision support systems thyroid cancer association-rule based framework SHAP values classification and prediction

Reservoir heterogeneity analysis using multi-directional textural attributes from deep learning-based enhanced acoustic impedance inversion:A study from Poseidon,NW shelf Australia

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Energy Geoscience

Energy Geoscience 2024年第2期5卷 202-213页

作者： Anjali Dixit Animesh Mandal Shib sankar Ganguli Department of Earth Sciences Indian Institute of Technology KanpurKanpur208016India Marine and Deep Seismic CSIR-NGRIHyderabad500007India

Reservoir heterogeneities play a crucial role in governing reservoir performance and ***,detailed and inter-well heterogeneity analyses are commonly performed by mapping seismic facies change in the seismic data,which is a time-intensive *** researchers have utilized a robust Grey-level co-occurrence matrix(GLCM)-based texture attributes to map reservoir ***,these attributes take seismic data as input and might not be sensitive to lateral lithology *** incorporate the lithology information,we have developed an innovative impedance-based texture approach using GLCM workflow by integrating 3D acoustic impedance volume(a rock propertybased attribute)obtained from a deep convolution network-based impedance *** proposed workflow is anticipated to be more sensitive toward mapping lateral changes than the conventional amplitude-based texture approach,wherein seismic data is used as *** evaluate the improvement,we applied the proposed workflow to the full-stack 3D seismic data from the Poseidon field,NW-shelf,*** study demonstrates that a better demarcation of reservoir gas sands with improved lateral continuity is achievable with the presented approach compared to the conventional *** addition,we assess the implication of multi-stage faulting on facies distribution for effective reservoir *** study also suggests a well-bounded potential reservoir facies distribution along the parallel fault ***,the proposed approach provides an efficient strategy by integrating the impedance information with texture attributes to improve the inference on reservoir heterogeneity,which can serve as a promising tool for identifying potential reservoir zones for both production benefits and fluid storage.

关键词： Seismic texture attributes Seismic acoustic impedance Multi-directional texture attributes Reservoir heterogeneity Reservoir characterization Poseidon field

Chemically Radiative MHD Flow of a Micropolar Nanofluid over a Stretching/ Shrinking Sheet with a Heat Source or Sink

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Fluid Dynamics & Materials Processing 2024年第2期20卷 257-274页

作者： Parakapali Roja Shaik Mohammed Ibrahim Thummala sankar Reddy Giulio Lorenzini Department of Mathematics Annamacharya Institute of Technology and SciencesKadapa516126India Department of Engineering Mathematics College of EngineeringKoneru Lakshmaiah Education FoundationVaddeswaram522302India Department of Mathematics Annamacharya Institute of Technology and SciencesKadapa516003India Department of Engineering and Architecture University of ParmaParma43124Italy

This study examines the behavior of a micropolar nanoﬂuidﬂowing over a sheet in the presence of a transverse magneticﬁeld and thermal *** addition,chemical(ﬁrst-order homogeneous)reactions are taken into account.A similarity transformation is used to reduce the system of governing coupled non-linear partial differ-ential equations(PDEs),which account for the transport of mass,momentum,angular momentum,energy and species,to a set of non-linear ordinary differential equations(ODEs).The Runge-Kutta method along with shoot-ing method is used to solve *** impact of several parameters is *** is shown that the micro-rota-tional velocity of theﬂuid rises with the micropolar ***,the radiation parameter can have a remarkable inﬂuence on theﬂow and temperature proﬁles and on the angular momentum distribution.

关键词： Chemical(ﬁrst order homogeneous)reaction magnetohydrodynamics micropolar nanoﬂuid stretching/shrinking sheet heat source

Emergence of biomass-derived single-atom catalysts for platform chemicals production

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Journal of Bioresources and Bioproducts 2024年第2期9卷 127-129页

作者： Adrian Chun Minh Loy sankar Bhattacharya Department of Chemical and Biological Engineering Monash UniversityClayton 3800VictoriaAustralia

The envisioned exponential growth in the utilization of single-atom catalysts(SACs)has recently emerged as a frontier in the spectrum of material *** is attributed to the distinctive properties of SACs,which encompass 100%atomic efficiency,superior selective performance,tunable coordination environment,and unique electronic structures(Wu et al.,2022b;Loy et al.,2023;Wang et al.,2023).The concept of single-atom isolation was initially introduced by Qiao et al.(2011),with the objective to explore the superior catalytic activity of Pt single-atom compared to Pt nanoparticles/nanoclusters in CO ***,Zhou et al.(2019)in-novatively developed the biomass-derived CO-based SACs and introduced for the oxidative esterification of *** there are many good pieces of news on the SACs,the large-scale fabrication of SACs remains a formidable challenge,impeding their potential to drive scalable production of drop-in *** primary challenge lies in the cost-intensive process of reducing the size of embedded metal particles to sub-angstrom dimensions,a necessary step for creating well-dispersed atomic active ***,this complexity arises from the inherent behavior of individual atoms that are inclined to migrate and cluster into nanoparticles due to their high surface free energy(Chen et al.,2021).

关键词： dimensions frontier attributed

Spatiotemporal dynamics of land use/land cover(LULC)changes and its impact on land surface temperature:A case study in New Town Kolkata,eastern India

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Regional Sustainability 2024年第2期5卷 26-48页

作者： Bubun MAHATA Siba sankar SAHU Archishman SARDAR Laxmikanta RANA Mukul MAITY Department of Geography Ravenshaw UniversityCuttack753003India Department of Geography Sri Krushna Chandra Gajapati(Autonomous)CollegeParalakhemundi761200India

Rapid urbanization creates complexity,results in dynamic changes in land and environment,and influences the land surface temperature(LST)in fast-developing *** this study,we examined the impact of land use/land cover(LULC)changes on LST and determined the intensity of urban heat island(UHI)in New Town Kolkata(a smart city),eastern India,from 1991 to 2021 at 10-a intervals using various series of Landsat multi-spectral and thermal *** study used the maximum likelihood algorithm for image classification and other methods like the correlation analysis and hotspot analysis(Getis–Ord Gi^(*) method)to examine the impact of LULC changes on urban thermal *** study noticed that the area percentage of built-up land increased rapidly from 21.91%to 45.63%during 1991–2021,with a maximum positive change in built-up land and a maximum negative change in sparse *** mean temperature significantly increased during the study period(1991–2021),from 16.31℃to 22.48℃in winter,29.18℃to 34.61℃in summer,and 19.18℃to 27.11℃in *** result showed that impervious surfaces contribute to higher LST,whereas vegetation helps decrease *** ecological status has been found in built-up land,and excellent ecological status has been found in vegetation and water *** hot spot and cold spot areas shifted their locations every decade due to random LULC *** after New Town Kolkata became a smart city,high LST has been ***,this study indicated that urbanization and changes in LULC patterns can influence the urban thermal environment,and appropriate planning is needed to reduce *** study can help policy-makers create sustainable smart cities.

关键词： Urbanization Land use/land cover (LULC)changes Land surface temperature Urban heat island Hotspot analysis Smart city

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Strong Vitality

Beijing Review 2024年第15期67卷 24-25页

作者： Rabi sankar Bosu China Focus website

Therhetoric of"China'scollapse"rises every once in a while in the West,when politicians and media outlets try to discredit China on multiple *** distorted picture painted in their"cognitive war"against China only serv... 详细信息

关键词： China. outlet Strong

Exploring dielectric phenomena in sulflower-like nanostructures via Monte Carlo technique

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Communications in Theoretical Physics 2024年第4期76卷 188-198页

作者： N Saber Z Fadil Hussein Sabbah A Mhirech B Kabouchi L Bahmad Chaitany Jayprakash Raorane Siva sankar Sana Hassan Fouad Mohamed Hashem Laboratory of Condensed Matter and Interdisciplinary Sciences(LaMCScI) Research Unit Labelled CNRSTURL-CNRST-17.Faculty of SciencesPO Box 1014Mohammed Ⅴ University in RabatMorocco College of Engineering and Technology American University of the Middle EastEgaila 54200Kuwait School of Chemical Engineering Yeungnam UniversityGyeongsan38541Republic of Korea Applied Medical Science Department Community CollegeKing Saud UniversityPO Box 11433Riyadh Saudi Arabia Department of Dental Health College of Applied Medical SciencesKing Saud UniversityPO Box 12372RiyadhSaudi Arabia

This research focuses on the electric behavior of a mixed ferrielectric sulflower-like *** structure includes a core with spin S_(i)^(Z)-1 atoms and a shell with spin σ_(j)^(Z)-5/2 *** Blume–Capel model and the Monte Carlo technique(MCt)with the Metropolis algorithm are *** are established for absolute zero,investigating stable spin configurations correlated with various physical *** MCt method explores phase transition behavior and electric hysteresis cycles under different physical parameters.

关键词： sulfower-like nanostructure dielectric characteristics Monte Carlo technique phase transition phase diagrams electric hysteresis