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27th International Conference on Pattern Recognition, ICPR 2024

作者： Kanroo, Muhammad Suhaib Kawoosa, Hadia Showkat Dhar, Joy Goyal, Puneet Indian Institute of Technology Ropar Punjab Rupnagar140001 India NIMS Institute of Engineering and Technology NIMS University Rajasthan Jaipur303121 India

ISBN: (纸本)9783031781216

Charts are important non-textual elements present in documents, providing a visual representation of numerical data. Among different representations, Pie-charts are commonly employed in digital documents due to their perceptual advantages for displaying numerical data and inter-relationship information. Chart Data Extraction is a multi-stage pipeline, with each stage playing a crucial role in obtaining the raw data correctly. Prior work mostly focuses on improving the performance of one or a combination of a few sub-stages. In this work, we propose a novel end-to-end data extraction algorithm, PieExtract, to extract data from pie-charts. This proposed algorithm designs a novel Robust Fusion Attention Network (RobFA-Net) approach for chart classification tasks. This network introduces a robust fusion attention strategy to learn significant discriminative global and local information, thereby enhancing the learning model performance. In addition, our novel rule-based sector data extraction method further enhances its performance in extracting data from pie-charts. Extensive experimentation is conducted on three datasets, specifically Revision, Chagas, and FigureQA, focusing on chart classification and the FigureQA dataset for data extraction from pie-charts. Our findings demonstrate that the proposed pipeline outperforms compared to previous works, showcasing superior performance. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Attention Chart Data Extraction Classification computer vision Pie-chart

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Uncertainty-RIFA-Net: Uncertainty Aware Robust Information Fusion Attention Network for Brain Tumors Classification in MRI Images 27th

Uncertainty-RIFA-Net: Uncertainty Aware Robust Information F...

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27th International Conference on Pattern Recognition, ICPR 2024

作者： Dhar, Joy Rana, Kapil Goyal, Puneet Indian Institute of Technology Ropar Punjab Rupnagar140001 India NIMS Institute of Engineering and Technology NIMS University Rajasthan Jaipur303121 India

ISBN: (纸本)9783031783975

Malignant brain tumors pose a significant global threat, emphasizing the critical need for efficient diagnostic methods utilizing MRI. Manual analysis of MRI images is labor-intensive and subjective, highlighting the necessity for faster and automated effective methods. In this paper, we propose an uncertainty-aware robust information fusion attention network model for precisely classifying brain tumors in MRI images. Our approach introduces a novel robust information fusion attention layer that learns enhanced representations by integrating global context with local information. We estimate the uncertainty in our model’s predictions using the ensemble Monte Carlo dropout strategy. Our findings demonstrate outstanding performance, achieving accuracies of 98.37% on the Cheng dataset and 98.48% on the Nickparvar dataset in brain tumor MRI image classification tasks, while minimizing computational costs in terms of resource usage and inference time. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Magnetic resonance imaging

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Noise Reduction of Jet/Aircraft Engine Fitted with N10 Chevron Nozzle and Comparative Analysis with N8 Nozzle at Varied Tip Angle (β) 2nd

Noise Reduction of Jet/Aircraft Engine Fitted with N10 Chevr...

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2nd International Conference on Advances in Materials and Manufacturing technology, ICAMMT 2022

作者： Wani, Irfan Nazir Kulshreshtha, Ankur Chaitanya, Saragadam School of Mechanical and Aerospace Engineering NIMS Institute of Engineering and Technology NIMS University Jaipur India

ISBN: (纸本)9789819929207

Since the early twenty-first century, noise convention around airport have turn into more stringent due to the environmental impact that noise pollution has on the general public as the future development of the aircraft industry become constrained by its noise emission, engine manufacturer has work in a new solution to trim down the jet overall noise. Aircraft noise, which radiates from the exhaust of an airplane engine, is a major factor in aircraft noise. The present provision in the ability of passive aircraft sound diminution technology is represented by chevron nozzles. This type of nozzle marks triangular grooves in the nozzle trailing edges that improve mixing between the jet and the ambient air to yield a speedy decay of the jet aircraft plume, consequently reducing jet noise. In this research, the N10 chevron nozzle is designed with various angle change model analyses and compared with the N8 chevron nozzle which is similar to the chevron nozzle installed in the trailing edge of the nozzle used in Bombardier CRJ900. Different models have been studied based on the geometric parameter of the chevron to acquire efficient blueprint constraints of chevrons in the nozzle. The selective design in N8 and N10 V-shape chevron nozzle with tip angle 60° were modeled in CATIA, were analyzed in ANSYS fluent software. During the investigation, acoustics power level of individual’s model is considered at takeoff because the thrust needs more during takeoff of aircraft as compared to cruise for obtaining an efficient model. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Engines

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Six-phase DFIG-MPPT synergy: pioneering approaches for maximising energy yield in wind energy generation system

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International Journal of Power and Energy Conversion 2024年第1期15卷 79-98页

作者： Mishra, Neeraj Kumar Mishra, Gourav Shukla, Manoj Kumar Department of Electronics and Electrical Engineering NIMS University Rajasthan Jaipur India Department of Electronics and Communication Engineering Sagar Institute of Research and Technology Bhopal India Pune India

This work is motivated by the issue, ‘If a 6-phase doubly fed induction generator (6-phase DFIG) based wind energy generation system (WEGS) will supply power to society in the future, then what type of MPPT system will be appropriate for a 6-phase DFIG-based wind energy generation system?’. The maximum power point tracking (MPPT) technique has been adopted to obtain maximum power under various operating situations using a machine-side converter (MSC) linked to a traditional doubly fed induction generator (DFIG) and solar photovoltaic cells throughout the last several decades. Due to several two-dimensional space harmonics, the MPPT technique to the MSC of 6-phase DFIG cannot be applied directly, and as a result 6-phase DFIG modelling is first introduced in a distinct two-dimensional plane. An appropriate MPPT algorithm has been developed based on the proposed modelling that provides the synergy between the 6-phase DFIG and MPPT system. In addition, the modelling of a WEGS is also covered in this study, along with the modelling of a 6-phase transformer, a DC link capacitance, and a wind turbine. Furthermore, real-time hardware-in-loop experimentation has been conducted to validate the efficacy of the proposed model. © 2024 Inderscience Enterprises Ltd.

关键词： Asynchronous generators

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EXPERIMENTAL INVESTIGATION OF A CONVERGENT NOZZLE FOR THERMAL HOMOGENIZATION OF AIR

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International Journal of Energy for a Clean Environment 2025年第2期26卷 1-12页

作者： Sharma, Piyush Singh, Gurveer Shekhar, Rajiv Chandra, Laltu Ghoshdastidar, P.S. Tamil Nadu Chennai603203 India Department of Electronics and Communication Engineering Jaypee Institute of Information Technology Uttar Pradesh Greater NOIDA201304 India Department of Mechanical and Aerospace Engineering NIMS Institute of Engineering and Technology NIMS University Jaipur-Delhi Highway Rajasthan Jaipur303121 India Energy Centre Maulana Azad National Institute of Technology Bhopal Madhya Pradesh Bhopal462003 India Jharkhand Dhanbad826004 India Department of Sustainable Energy Engineering Indian Institute of Technology Kanpur Uttar Pradesh 208016 India Department of Mechanical Engineering Indian Institute of Technology Kanpur Uttar Pradesh 208016 India

This study employed a 2 kWth solar air tower simulator system for experimental validation, explicitly focusing on the effectiveness of a custom-designed mixer assembly under conditions of even and uneven heat flux distribution. Non-uniform heat dispersion within the absorbers can create localized hotspots and temperature disparities, resulting in thermal stress within the pipeline system. To address this challenge, a mixer assembly was devised to equalize the temperature differential in the heated air. The study concentrates on scrutinizing the temperature variance along both the axial and azimuthal axes within the mixer assembly, examining scenarios with aperture power of 1000 W and 1500 W, as well as mass flow rates of 6.37 g/s and 14.87 g/s. Notably, the study identified a maximum temperature differential of 7°C at the mixer’s outlet when the initial temperature variance at the inlet stood at 37°C. © 2025 by Begell House, Inc.

关键词： Mixers (machinery)

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A Security Analysis Model for IoT-ecosystem Using Machine Learning-(ML) Approach

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Recent Advances in Computer Science and Communications 2024年第6期17卷 39-47页

作者： Pradeep Kumar, N.S. Kantipudi, M. V. V. Prasad Praveen, N. Suresh, S. Aluvalu, Rajanikanth Jagtap, Jayant Dept.of ECE S.E.A College of Engineering and Technology Bangalore India Pune412115 India Dept. Of Electrical Engineering University of Technology and Applied Sciences Ibra Oman Dept.of CSE Balaji Institute of Technology & Science Warangal India Dept.of IT Chaitanya Bharathi Institute of Technology Hyderabad500075 India Dept.of AIML NIMS Institute of Computing Artificial Intelligence and Machine Learning NIMS University Rajasthan Jaipur India

Introduction: The attacks on IoT systems are increasing as the devices and communication networks are progressively integrated. If no attacks are found in IoT for a long time, it will affect the availability of services that can result in data leaks and can create a significant impact on the associated costs and quality of services. Therefore, the attacks and security vulnerability in the IoT ecosystem must be detected to provide robust security and defensive mechanisms for real-time applications. Method: This paper proposes an analytical design of an intelligent attack detection framework using multiple machine learning techniques to provide cost-effective and efficient security analysis services in the IoT ecosystem. Result: The performance validation of the proposed framework is carried out by multiple performance indicators. Conclusion: The simulation outcome exhibits the effectiveness of the proposed system in terms of accuracy and F1-score for the detection of various types of attacking scenarios. © 2024 Bentham Science Publishers.

关键词： Ecosystems

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NVMS-Net: A Novel Constrained Noise-View Multiscale Network for Detecting General Image Processing Based Manipulations

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2025年第5期6卷 1233-1247页

作者： Singh, Gurinder Rana, Kapil Goyal, Puneet Kumar, Sathish Cleveland State University Electrical Engineering and Computer Science ClevelandOH44115 United States Indian Institute of Technology Ropar Punjab Rupnagar140001 India Thapar Institute of Engineering and Technology Punjab Patiala147004 India NIMS University Rajasthan Jaipur303121 India

Ensuring the authenticity and integrity of digital images is a major concern in multimedia forensics, driving research on universal schemes for detecting diverse image manipulations (or processing operations). Although some prior works have addressed general-purpose image manipulation detection, they have been evaluated under constrained environments. Developing an approach that effectively identifies multiple manipulations in real-world scenarios remains a challenge. To address this issue, in this article, we have designed a novel constrained noise-view based multiscale network (NVMS-Net) that jointly exploits constrained noise-view and multiscale feature learning for multiple image processing operation detection. Our NVMS-Net includes four stages: constrained noise-view, generalizable feature learning, multiscale feature learning, and classification. First, a noise extraction layer (NEL) is employed to suppress the image content information for the extraction of noise features. The statistical modeling of these noise features is further improved by statistical modeling layer (SML) to achieve a better noise-view of image tampering artifacts. Then, we use multiple convolution-batch normalization-ReLU (CBR) blocks to learn generalizable noise features that are sensitive to image manipulations. Further, a multiscale aggregation module (MSAM) is proposed that leverages image tampering features at multiple scales through the aggregation of low and high-level features. The extensive experimental results show that the NVMS-Net consistently outperforms the existing approaches on different dataset settings. Importantly, NVMS-Net shows better performance in real-world scenarios, particularly against antiforensic techniques and adversarial attacks. The proposed NVMS-Net provides an overall accuracies of 98.21% and 98.60% on BOSSBase and Dresden datasets, respectively. © 2020 IEEE.

关键词： Adversarial machine learning

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Cocatalysts in photocatalytic methane conversion: recent achievements and prospects

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Science China Chemistry 2023年第9期66卷 2532-2557页

作者： Chengcheng Zhang Jing Wang Shenshen Ouyang Hui Song Jinhua Ye Li Shi School of Materials Science and Chemical Engineering Ningbo UniversityNingbo 315211China Zhejiang Key Laboratory of Bio-based Polymeric Materials Technology and Application Ningbo Key Laboratory of Polymer MaterialsNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo 315201China International Center for Materials Nanoarchitectonics(WPI-MANA) National Institute for Materials Science(NIMS)Tsukuba 305-0044Japan TJU-NIMS International Collaboration Laboratory School of Material Science and EngineeringTianjin UniversityTianjin 300072China

Photocatalysis, which performed under mild conditions by utilizing solar energy, has become a desirable technology to convert methane into highly valuable chemicals, such as methanol, ethane, and other hydrocarbons. However, pristine photocatalysts still suffer from the low utilization efficiency of solar light and the high recombination rate of photogenerated charge carriers, which exhibit the low activity and selectivity for photocatalytic methane conversion. Loading cocatalysts on photocatalysts is an attractive strategy to manipulate the products' yield and selectivity of photocatalytic methane conversion due to the enhanced charge carrier separation efficiency, extended light absorption and promoted reactant adsorption/desorption kinetics. This review discusses the recent achievements of the cocatalysts for photocatalytic methane conversion reactions. Moreover, the challenges and perspectives for the development of efficient cocatalysts are presented. This review provides considerable guidelines for the design and construction of efficient cocatalysts for photocatalytic methane conversion reactions.

关键词： photocatalysis methane conversion cocatalysts valuable chemicals

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Effects of Initial and Boundary Conditions on Heavy Rainfall Simulation over the Yellow Sea and the Korean Peninsula:Comparison of ECMWF and NCEP Analysis Data Effects and Verification with Dropsonde Observation

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Advances in Atmospheric Sciences 2024年第9期41卷 1787-1803页

作者： Jiwon HWANG Dong-Hyun CHA Donghyuck YOON Tae-Young GOO Sueng-Pil JUNG Department of Civil Urban Earth and Environmental Engineering Ulsan National Institute of Science and TechnologyUlsan 44919South Korea Program in Atmospheric and Oceanic Sciences Princeton UniversityPrincetonNew Jersey 08544USA National Institute of Meteorological Sciences NIMSJeju 63568South Korea

This study evaluated the simulation performance of mesoscale convective system(MCS)-induced precipitation,focusing on three selected cases that originated from the Yellow Sea and propagated toward the Korean *** evaluation was conducted for the European Centre for Medium-Range Weather Forecasts(ECMWF)and National Centers for Environmental Prediction(NCEP)analysis data,as well as the simulation result using them as initial and lateral boundary conditions for the Weather Research and Forecasting ***,temperature and humidity profiles from 3D dropsonde observations from the National Center for Meteorological Science of the Korea Meteorological Administration served as validation *** showed that the ECMWF analysis consistently had smaller errors compared to the NCEP analysis,which exhibited a cold and dry bias in the lower levels below 850 *** model,in terms of the precipitation simulations,particularly for high-intensity precipitation over the Yellow Sea,demonstrated higher accuracy when applying ECMWF analysis data as the initial *** advantage also positively influenced the simulation of rainfall events on the Korean Peninsula by reasonably inducing convective-favorable thermodynamic features(i.e.,warm and humid lower-level atmosphere)over the Yellow *** conclusion,this study provides specific information about two global analysis datasets and their impacts on MCS-induced heavy rainfall simulation by employing dropsonde observation ***,it suggests the need to enhance the initial field for MCS-induced heavy rainfall simulation and the applicability of assimilating dropsonde data for this purpose in the future.

关键词： initial conditions dropsonde heavy rainfall forecast global model analysis evaluation

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High-performance BiFeO_(3)eBaTiO_(3)lead-free piezoceramics insensitive to off-stoichiometry and processing temperature

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Journal of Materiomics 2023年第2期9卷 353-361页

作者： Yu-Cheng Tang Yang Yin Ai-Zhen Song He-Zhang Li Bo-Ping Zhang School of Materials Science and Engineering University of Science and Technology BeijingBeijing100083China National Institute for Materials Science(NIMS)1-2-1 Sengen TsukubaIbaraki305-0047Japan

It is well-known that the performance of BiFeO3eBaTiO3(BF-BT)ceramics is sensitive to composition,calcining and sintering temperature(Tcal and Tsint)due to the formation of Bi25FeO39 and/or Bi2Fe4O9 impurities and/or the volatilization of Bi_(2)O_(3).We report remarkably stable electrical properties over the range of0.03≤x≤0.05 and 930℃≤Tsint≤970C in 0.7Bi(1þx)FeO_(3)-0.3BaTiO_(3)ceramics prepared by one-step *** method avoids the thermodynamically unstable region of BiFeO_(3)and prevents the formation of Bi25FeO39 and/or Bi_(2)Fe_(4)O_(9)impurities even when the addition of a-Bi_(2)O_(3)raw material is intentionally deficient or rich to make off-stoichiometric BF-BT,thus greatly improving the robustness of compositional and ***-pseudocubic phase coexists in all ceramics,and their CR/CPC fraction are 48.0/52.0e50.6/49.4 and 55.9/44.1e56.6/43.4 when x increases from0.05≤x≤0 to 0.01≤x≤*** stable electrical properties of d33¼180e205 pC/N,Pr¼17.9e23.8 mC/cm^(2),and TC¼485e518℃are *** maximum d_(33T)/d_(33RT)of BF-BT is twice that of soft PZT,superior to most the-state-of-art lead-free *** results provide a synthesis strategy for designing high performance piezoelectric materials with good stability and easy industrialization.

关键词： BiFeO_(3)-BaTiO_(3) Lead-free ceramics One-step process Electrical properties Thermal stability

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