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Dielectric spectroscopy coupled with artificial neural network for classification and quantification of sesame oil adulteration

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Information Processing in Agriculture 2022年第2期9卷 233-242页

作者： Mahmoud Soltani Firouz Mahmoud Omid Mehrdad Babaei Mahdi Rashvand Department of Agricultural Machinery Engineering Faculty of Agricultural Engineering and TechnologyUniversity of TehranKarajIran Machine Design and Mechatronics Department Institute of MechanicsIranian Research Organization for Science and TechnologyTehranIran

Adulteration using cheap vegetable oils into expensive oils such as sesame oil is a considerable challenge in the edible oil market. To discriminate pure and adulterated sesame oilwith sunflower and canola oils (commonly used as an adulterant to the high-price oils),dielectric spectroscopy was applied in the range of 40 kHz–20 MHz. The principal component analysis (PCA) plots were able to distinguish the pure sesame oil, while it was impossible to separate the adulterated oils based on the kind of adulteration. The correlationbased feature selection (CFS) method was used to select the more relevant dielectric datawithin the spectrum and to reduce the dimensionality of the input vector belongs to theartificial neural network (ANN). The ANN classifier with topology of 19-5-4 structureshowed a perfect accuracy of 100% in detecting the authentic and the adulterated sesameoil. The regression ANN with the topology of 15-5-1, 21-8-1 and 10-11-1 were the mostrobust models in quantifying the amount of adulteration in sesame oil generated by sun-flower oil, canola oil and sunflower + canola oils, with R2Test of 1, 1 and 0.999 9, *** proposed technique is a powerful and simple method to detect and quantify adulteration of sesame oil. The novelty of this research is capability of used system for authentication of adulterated sesame oil using low frequency. Furthermore, the developed systemhas a good capability for other types of sesame oil adulterations as well as to detect adulteration in other expensive edible oils.

关键词： Adulteration Artificial neural network Chemometrics Sesame oil Correlation-based feature selection Principal component analysis

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Improving the ductility of laser directed energy deposited borated stainless steel by increasing laser power

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Journal of Manufacturing Processes 2025年 145卷 494-507页

作者： Huang, Sheng Li, Qingyu Zhang, Xiaoyu Cui, Bin Li, Dichen Zhang, Anfeng Miao, Kai State Key Laboratory for Manufacturing Systems Engineering School of Mechanical Engineering Xi'an Jiaotong University Xi'an710049 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610213 China Department of Mechanical and Electrical Engineering Yuncheng University Yuncheng044000 China Co. Ltd. Chengdu610091 China

Borated stainless steels (BSSs) are extensively applied in the nuclear energy industry due to boron's excellent thermal neutron absorption capacity, but large and brittle borides formed during casting result in a low ductility. Here, a BSS was produced by laser directed energy deposition, and an investigation was conducted to analyze the impact of laser power on both the microstructure and mechanical properties of the deposited material. Fibrous borides with relatively low volume fraction in the overlapping zone resulted in higher ductility, while lamellar borides with relatively large volume fraction in the non-overlapping zone led to higher strength. As the laser power increased from 180 W to 330 W, the size of fibrous and lamellar eutectic borides and austenite increased significantly, the width of the soft overlapping zone increased by 2.27 times, and the elongation increased by 2.03 times, although yield strength and ultimate tensile strength decreased by 46.3 % and 31.7 %, respectively. As a result, these findings confirmed the feasibility of significantly improving the ductility of the as-deposited BSS by increasing the laser power. The work here provides a way to tailoring the mechanical properties of BSS produced by laser additive manufacturing. © 2025 The Society of Manufacturing Engineers

关键词： Ductility

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Enhanced Speech Emotion and Gender Recognition Using Hybrid CNN-LSTM Models 4

Enhanced Speech Emotion and Gender Recognition Using Hybrid ...

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4th International Conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： Priyadharshini, S. Sundar, G. Naveen Narmadha, D. Thangavel, Senthil Kumar Ajibesin, Adeyemi Abel Kolandapalayam Shanmugam, Selvanayaki Karunya Institute of Technology and Sciences Department of Computer Science and Engineering Coimbatore India Amrita School of Computing Department of Computer Science and Engineering Coimbatore India Cape Peninsula University of Technology Faculty of Informatics and Design Department of Information Technology South Africa Ashland University Department of Mathematics and Computer Science United States

ISBN: (纸本)9798331523923

The current paper proposes a new approach for peripheral speech emotion analysis and gender estimation incorporating the best machine learning architectures such as CNNs and LSTMs. Its correct depiction of emotions and the variation of the gendered speech to indicate manifold signal-to-noise ratio make the approach accommodate the difficulty inherent in recognizing emotions from the recording of voices as well as predicting the gender of a speaker. It is then able to ally with preprocessing and collection of a vast range of different speech samples, feature extraction of pitch, tone and spectral data. These features serve as input to the CNNs and LSTMs: LSTMs work well at temporal regular features and the CNNs work well in feature extraction by location (spatio feature). The approach is tested on the RAVDESS and IEMOCAP datasets and establishes a near perfect match to prior approaches with reference to recognition accuracy of emotion analysis and gender prediction. Thus, applying the identified dual method approach, which could be described by such characteristics as highly accurate data pre-preprocessing, clear indication of the features of interest, a different CNN-LSTM model joint training, it offers a reasonably good platform to gain certain insights into such characteristics of the speech as our experiment demonstrates. This work offers satisfactory configurations on concerns such as human computer relation, customer relation and mental health surveillance to suggest that other applications could be achieved in future. © 2025 IEEE.

关键词： Convolutional neural networks

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Eco-friendly polysaccharide coatings for antifouling and dragreduction and potential application for marine devices

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Friction 2024年第4期12卷 726-744页

作者： Hao YANG Liguo QIN Wenhui ZHAO Fagla Jules MAWIGNON Hui GUO Yongkang WU Yali ZHANG Guangneng DONG Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System Institute of Design Science and Basic ComponentsSchool of Mechanical EngineeringXi’an Jiaotong UniversityXi’an 710049China Key Laboratory of Biomedical Information of Ministry of Education School of Life Science and TechnologyXi’an Jiaotong UniversityXi’an 710049China Department of Endocrinology First Affiliated Hospital of Medical CollegeXi'an Jiaotong UniversityXi’an 710061China

Traditional antifouling agents usually have a certain toxic effect on marine environments and non-target *** this study,Dictyophora indusiata polysaccharide(DIP)was applied as a natural antifouling surface modifier to prepare the surface coating for marine *** DIP coatings were prepared:*** spore polysaccharide(DISP),*** volva polysaccharide(DIVP),and *** embryonic body polysaccharide(DIEP).The antifouling,tribological,and anticorrosion behavior of the coatings were *** revealed that the three kinds of DIP coatings had excellent antifouling properties,which could effectively prevent the adhesion of Chlorella and the attachment of water-based and oily stains on the ***,the coatings showed great mechanical stability and could maintain an extremely low coefficient of friction(COF<0.05)after continuous *** drag reduction rate of the coated surfaces reached 5%,showing a powerful lubrication ***,the DIP coatings presented an outstanding corrosion resistance,where the equivalent circuit impedances were 4-9 orders of magnitude higher than the control *** research showed a promising prospect of surface coating fabrication with DIP for marine devices to achieve the purpose of antifouling and drag reduction.

关键词： Dictyophora indusiata polysaccharide(DIP)coating antifouling anticorrosion lubrication and drag reduction

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Functional Verification of Extended Kalman Filter on FPGA for Railway Wheelset Parameters Estimation

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IEEE Access 2025年 13卷 96646-96659页

作者： Mal, Khakoo Memon, Tayab Din Kalwar, Imtiaz Hussain Junejo, Allah Rakhio Memon, Majid Hussain Memon, Tarique Rafique Memon, Sufyan Ali Chowdhry, Bhawani Shankar Sukkur IBA University Sukkur65200 Pakistan Mehran University of Engineering & Technology NCRA-Condition Monitoring Systems Lab Jamshoro76062 Pakistan Torrens University Center for Artificial Intelligence Research and Optimization Faculty of Design and Creative Technology Melbourne Australia Iqra University Faculty of Engineering Sciences and Technology Karachi75500 Pakistan Iqra University Department of Artificial Intelligence Karachi75500 Pakistan Department of Electronic Engineering Quaid-e-Awam University of Engineering Science and Technology Nawabshah67450 Pakistan Department of Defense Systems Engineering Sejong University Seoul Korea Republic of

The forces generated at the wheel-rail contact patch are important and crucial to the railway vehicle's operation because they control the dynamic behavior of the entire rolling stock. The transfer of the tractive force applied by the locomotive's traction and braking system requires a certain amount of adhesion force at the wheel-rail contact area. The wheel may skid while decelerating and slip when accelerating due to the maximal adhesion force at the wheel-rail interface may be less than the applied tractive force. A major difficulty is accurately estimating adhesion conditions and implementing them in real time because the contact forces between the wheel and rail are complicated and are highly non-linear. The fast-processing speed and hardware flexibility of field programmable gate arrays (FPGAs) make them ideal for the implementation of nonlinear condition monitoring systems. The goal of our work is to estimate various railway wheelset characteristics relating to wheel-rail contact forces under variable track-contact situations by designing and implementing the extended Kalman filter (EKF) model utilizing MATLAB and FPGA. The onboard estimation of wheel-rail interaction parameters is verified using the Xilinx® system-On-Chip (SoC) Zynq and Xilinx Spartan-3 FPGA devices, built-in with the National Instruments (NI) myRIO® development board and sbRIO® single-board controller. Two FPGA platforms are used to test the dataset generated by the MATLAB railway nonlinear wheelset model under different track circumstances, which include the vehicle's acceleration and deceleration modes. The 95% of the simulation results achieved. The proposed model's hardware synthesizes on FPGA are validated, and the area-performance is analyzed. Both FPGA devices take 52 cycles per sample and hence throughput becomes 769 kilo samples per second. Comparing the Xilinx system-On-Chip Zynq FPGA device to the Spartan-3, it is found that the latter offers a worse area-performance tradeoff fo

关键词： Extended Kalman filters

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PROPOSAL OF AMD CONTROL METHOD BASED ON MODEL PREDICTIVE CONTROL FOR BMD VIBRATION CONTROL STRUCTURE AND VERIFICATION WITH SHAKING TABLE TEST

Journal of Structural and Construction Engineering

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Journal of Structural and Construction engineering 2022年第798期87卷 701-712页

作者： Yoshida, Naoto Kotsuki, Sachie Morikawa, Kazuhiko Kambara, Hiroshi Fukukita, Akira Takahashi, Masaki Institute of Technology Shimizu Corporation Japan Corporate Planning Dept. Shimizu Corporation Japan Dept. of System Design Engineering Faculty of Science and Technology Keio University Japan

This paper proposes a control method of Active Mass Damper (AMD) for Building Mass Damper (BMD). The parameters of the soft story of BMD must be higher than the optimal values to prevent excessive displacement of the soft story. The AMD makes the behavior of the non-optimal BMD close to that of the optimal BMD and improves damping performance by the proposed control method, which is based on Model Predictive Control (MPC). Through the results of numerical analysis and shaking table test, it is demonstrated that the proposed method can mitigate the responses of the non-optimal BMD. © 2022 Architectural Institute of Japan. All rights reserved.

关键词： Model predictive control

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Biomordant assisted natural dyeing of cellulosic fibre: a greener approach

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Materials Research Innovations 2025年第1期29卷 27-34页

作者： Chowdhury, Tanvir Ahmed Khandaker, Jahirul Islam Gafur, Mohammad Abdul Repon, Md. Reazuddin Islam, Md. Kamrul Hossain, Alamgir Mollick, Swaraz Department of Physics Jahangirnagar University Dhaka Bangladesh Department of Textile Engineering Daffodil International University Dhaka Bangladesh Pilot Plant & Process Development Centre Bangladesh Council of Scientific and Industrial Research Dhaka Bangladesh Department of Bioproducts and Biosystems School of Chemical Engineering Aalto University Espoo Finland Department of Production Engineering Faculty of Mechanical Engineering and Design Kaunas University of Technology Kaunas Lithuania Department of Textile Engineering Jashore University of Science and Technology Jashore Bangladesh

Natural dyes serve as a benign alternative to their synthetic counterparts, offering a sustainable option that directly mitigates the release of toxic chemicals. In this study, cotton fabrics were dyed with neem leaf extract in acidic, neutral and alkaline condition where samples were mordanted with lemon juice. The findings revealed a direct correlation between colour strength (K/S) and pH levels, and optimal fastness properties were achieved under alkaline pH conditions when a mordant was employed. The Energy Dispersive X-ray (EDX) ensured the elemental composition of lemon juice assisted dyed fabric which indicates the effective binding of cotton fabric with neem leaves extracted dye. The Fourier Transform Infrared (FTIR) Spectroscopy analysis also confirmed the interaction of cotton fabric with dye particles. The results indicate that cotton fabric can be successfully dyed with neem leaf extract and lemon juice as the biomordant, presenting an eco-friendly and sustainable approach to dyeing practices. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Cotton fabrics

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Dynamic response of the cell traction force to osmotic shock

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Microsystems & Nanoengineering 2023年第5期9卷 321-331页

作者： Yongman Liu Wenjie Wu Shuo Feng Ye Chen Xiaoping Wu Qingchuan Zhang Shangquan Wu School of Biomedical Engineering Anhui Medical University230032 HefeiChina CAS Key Laboratory of Mechanical Behavior and Design of Material Department of Modern MechanicsCAS Center for Excellence in Complex System MechanicsUniversity of Science and Technology of China230026 HefeiChina

Osmotic pressure is vital to many physiological activities,such as cell proliferation,wound healing and disease ***,how cells interact with the extracellular matrix(ECM)when subjected to osmotic shock remains ***,we visualize the mechanical interactions between cells and the ECM during osmotic shock by quantifying the dynamic evolution of the cell traction *** show that both hypertonic and hypotonic shocks induce continuous and large changes in cell traction ***,the traction force varies with cell volume:the traction force increases as cells shrink and decreases as cells ***,the direction of the traction force is independent of cell volume changes and is always toward the center of the cell-substrate ***,we reveal a mechanical mechanism in which the change in cortical tension caused by osmotic shock leads to the variation in traction force,which suggests a simple method for measuring changes in cell cortical *** findings provide new insights into the mechanical force response of cells to the external environment and may provide a deeper understanding of how the ECM regulates cell structure and function.

关键词： traction healing wound

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Dysarthric speech recognition: an investigation on using depthwise separable convolutions and residual connections

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Neural Computing and Applications 2025年第12期37卷 7991-8005页

作者： Shahamiri, Seyed Reza Mandal, Krishnendu Sarkar, Sudeshna DeepNet Discovery Network Faculty of Engineering and Design University of Auckland Private Bag 92019 Building 405 Level 6 Room 669 3 Garfton Road Auckland1142 New Zealand Computer Science and Engineering Department Indian Institute of Technology Kharagpur India

Dysarthria is a neurological condition resulting from impairments affecting muscle control involved in speech articulation, leading to reduced intelligibility or unintelligible speech, which affects communication abilities. Although Automatic Speech Recognition (ASR) technologies hold the potential to improve the lives of people with dysarthria significantly, ASR systems designed for normal speech have shown limited effectiveness when presented with impaired speech. Consequently, researchers have focused on developing ASR systems specifically tailored for dysarthria. However, progress in this area has been gradual due to the scarcity of dysarthric speech for training and the increased variability of speech among dysarthric individuals, necessitating a larger dataset of dysarthric utterances. One potential solution to enhance the robustness of dysarthric ASR is to deepen the architecture of the acoustic model, which maps the speech signal to words or phonetic units. However, deeper architectures require more training data and pose challenges in dealing with issues such as the vanishing gradient problem and representational bottlenecks in deep learning models. In this study, we expanded on our previous findings and investigated the applications of Depthwise Separable Convolution neurons and the inclusion of Residual Connections to propose a deep dysarthric acoustic model, tackling both vanishing gradients and representational bottleneck issues in dysarthric ASR. Multiple speaker-adaptive dysarthric ASRs were trained and evaluated for 15 UA-Speech dysarthric subjects, then benchmarked against the state-of-the-art and our previous dysarthric ASRs. Our proposed architectures have delivered up to 22.58% word recognition rate (WRR) improvements over the reference models. We observed an average of 10.81% better WRRs over the base traditional dysarthric ASR for all speakers. Likewise, the proposed acoustic model outperformed the state-of-the-art Transformer-based dysarthric

关键词： Convolution

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Smart Containers for Dieticians: Enabling Efficient Nutritional Monitoring through IoT 1

Smart Containers for Dieticians: Enabling Efficient Nutritio...

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1st IEEE International Conference on Emerging Research in Computational science, ICERCS 2023

作者： Sridhar, T. Chandramma, R. Chokkanathan, K. Shreenidhi, H.S. Somashekhara Reddy, D. Mahesh, T.R. Alliance University Alliance College of Engineering and Design Bangalore India University Faculty of Engineering and Technology Bengaluru India Madanapalle Institute of Technology & Science Department of Ai Madanapalle India University Bengaluru India Faculty of Engineering and Technology Department of Computer Science and Engineering Bangalore India Faculty of Engineering and Technology Kanakapura India

ISBN: (纸本)9798350359756

The IoT, refereed as Internet of Things is certainly changing people's lives. IoT has infiltrated practically every aspect of human life. With IoT, things are becoming smarter. The kitchen is such a space that has absorbed a great deal of technological progress in recent years and is one important part of our home. This project describes how to build and implement a smart kitchen using the internet of things. This paper explains about a smart container that will store daily staple foods like cereal grains (rice or any other grains). The suggested system comprises an integrated microcontroller board and an ultrasonic sensor to measure the container's level. The website developed can be used to monitor the change in the level of the container. © 2023 IEEE.

关键词： Containers

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