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SSRN 2025年

作者： Morita, Yasuyuki Omata, Seiji Matsubara, Fuga Kimura, Yasuhiro Toku, Yuhki Ju, Yang Faculty of Advanced Science and Technology Kumamoto University Kumamoto Japan Graduate Department of Micro-Nano Mechanical Science and Engineering Graduate School of Engineering Nagoya University Nagoya Japan Department of Mechanical Engineering Faculty of Engineering Kyushu University Fukuoka Japan State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou China Kumamoto University Kumamoto Japan

Tendons are important biological tissues that support skeletal muscule activity and lack the ability to heal because of the low number of cells in the ***, regenerative medical techniques have been used to treat tendon tissues in recent *** hypothesized that the unidirectional orientation of the extracellular matrix in tendon tissues, such as collagen, is an important factor in terms of physical and cellular *** addition, because the tendon tissue repeatedly expands during exercise, it is necessary to add a similar mechanical stimulus to the regenerated tendon *** such an environment, it is necessary to appropriately induce undifferentiated mesenchymal stem cells to differentiate into tendon cells to generate the physical structure of the tendon ***, we aimed to clarify the relationship between the induction of tendon cell differentiation and changes in tissue structure in response to mechanical stimuli during tendon tissue *** study used electrospinning to stack nanofibers on silicone rubber substrates, which are incubator materials for the effecient and reproducible fabrication of nanofibers. The layered nanofiber film was capable of building up sufficient thickness and succeeded in building up a thickness of 100 $\mu$*** effects of the elasticity and hardness of the incubator material seemed to be sufficiently small because the laminate was several times thicker than the cells, which had an adherent and spreading *** fiber diameter of the stacked nanofibers is 0.2-1 $\mu$m, which is sufficiently smaller than the size of cells, so the cell adhesion group formed when cells adhere is then small and can easily be strongly induced in the fiber *** results showed that when scleraxis-programmed tendon progenitors in human mesenchymal stem cell (hMSC-SCX) were seeded in a culture vessel with a nanofiber layer, cell proliferation was promoted and there was no decrease in gene expression spe

关键词： Stem cells

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Adaptive Finite-Time Parameter Estimation for a Reaction Force-Sensing Series Elastic Actuator 19th

Adaptive Finite-Time Parameter Estimation for a Reaction F...

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19th Chinese Intelligent systems Conference, CISC 2023

作者： Li, Qi Xing, Yashan Gao, Guanbin Na, Jing Lu, Sheng Faculty of Mechanical and Electrical Engineering Kunming University of Science and Technology Kunming650500 China Yunnan International Joint Laboratory of Intelligent Control and Application of Advanced Equipment Kunming University of Science and Technology Kunming650500 China Department of Orthopedics First People’s Hospital of Yunnan Province Kunming650032 China

ISBN: (纸本)9789819968855

In this paper, we propose an alternatively adaptive finite-time (FT) parameter estimation method for a developed reaction force-sensing series elastic actuator (RFSEA). Specifically, a compact RFSEA is first designed for exoskeletons, where the spring and drive components are configured in parallel. In contrast to classic estimation approaches depending on the predictor errors to derive the adaptive law, the proposed method is developed directly based on the parameter estimation errors, which is extracted by applying a low-pass filter operation. Moreover, a feasible way to achieve the PE condition verification online is provided. Furthermore, the homogeneous correction term is used for designing the adaptive law such that the FT convergence can be ensured. Finally, the effectiveness validation of the proposed method is provided by comparative simulations for the developed RFSEA. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Low pass filters

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Anomaly Detection Based on Principle of Justifiable Granularity and Probability Density Estimation

Anomaly Detection Based on Principle of Justifiable Granular...

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2023 China Automation Congress, CAC 2023

作者： Du, Sheng Ma, Xian Li, Xiang Wu, Min Cao, Weihua Pedrycz, Witold School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 2R3 Canada Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland Istinye University Faculty of Engineering and Natural Sciences Department of Computer Engineering Istanbul Sariyer Turkey

ISBN: (纸本)9798350303759

Anomaly detection is essential to ensure the safety of industrial processes. This paper presents an anomaly detection approach based on the probability density estimation and principle of justifiable granularity. First, time series data are transformed into a two-dimensional information granule by the principle of justifiable granularity. Then, the test statistic is constructed, and the probability density and cumulative distribution functions of the test statistic are calculated. Next, the confidence level determines the test threshold. Finally, the time series data of a key parameter in the sintering process is used as a case study. The experimental result demonstrates that the proposed approach can detect abnormal time series data effectively, providing an accurate and effective solution for detecting time series anomalies in industrial processes. © 2023 IEEE.

关键词： Time series

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Dynamic Analysis and Circuit Design of a New 3D Highly Chaotic System and its Application to Pseudo Random Number Generator (PRNG) and Image Encryption

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SN Computer science 2024年第4期5卷 420页

作者： Sambas, Aceng Benkouider, Khaled Kaçar, Sezgin Ceylan, Nurdoğan Vaidyanathan, Sundarapandian Sulaiman, Ibrahim Mohammed Mohamed, Mohamad Afendee Ayob, Ahmad Faisal Mohamad Muni, Sishu Shankar Faculty of Informatics and Computing Universiti Sultan Zainal Abidin Campus Besut Terengganu Kuala 22200 Malaysia Department of Mechanical Engineering Universitas Muhamadiyah Tasikmalaya Tamansari Gobras Tasikmalaya 46196 Indonesia Department of Electronics Faculty of Technology Badji-Mokhtar University B.P. 12 Sidi Ammar Annaba 23000 Algeria Department of Electrical and Electronics Engineering Sakarya University of Applied Sciences Serdivan Sakarya 54050 Turkey Department of Mechanical Engineering Adıyaman University Merkez Adıyaman 02040 Turkey Centre for Control Systems Vel Tech University Tamil Nadu Chennai 600062 India School of Quantitative Science University Utara Malaysia Sintok Kedah Bukit Kayu Hitam 06010 Malaysia Faculty of Education and Arts Sohar University Sohar 311 Oman Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Gong Badak Terengganu Kuala Terengganu 21300 Malaysia Department of Physical Sciences Department of Physical Sciences Indian Institute of Science Education and Research Mohanpur Kolkata 741246 India

In this paper, a new 3D dynamical system with four quadratic nonlinear terms is presented. It is shown that the proposed chaotic system has two saddle-foci, unstable, equilibrium points. Thus, the proposed chaotic system exhibits self-excited chaotic attractors. Dynamical analysis methods such as Lyapunov exponents spectrum, bifurcation diagrams, and phase portraits are used to explore the complex dynamical behaviors of the proposed chaotic system and analyze its basic qualitative properties. It is shown that the maximal Lyapunov exponent (MLE) of the new chaotic system is 7.196, which is a high value. The proposed highly chaotic system exhibits high complexity and it will be very useful for applications in cryptography, encryption and secure communications. The physical feasibility of the proposed system is verified by implementing its electronic circuit schematic using Multisim software. Additionally, a PRNG has been developed using the derived state variables and analyze with NIST-800–22 test. Lastly, we developed a PRNG-based image encryption and employ it for an encryption. The experimental outcomes obtained prove that the 3D chaotic system-based encryption application presented in this section has a very good performance. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024.

关键词： Chaos Image encryption Pseudo random number generator

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Iris Liveness Detection Using Fragmental Energy of Haar Transformed Iris Images Using Ensemble of Machine Learning Classifiers

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Computer Modeling in engineering & sciences 2023年第7期136卷 323-345页

作者： Smita Khade Shilpa Gite Sudeep D.Thepade Biswajeet Pradhan Abdullah Alamri Symbiosis International(Deemed University) Symbiosis Institute of TechnologyPune412115India Symbiosis Centre for Applied Artificial Intelligence Symbiosis International(Deemed University)Pune412115India Computer Engineering Pimpri Chinchwad College of EngineeringPune411044India Centre for Advanced Modelling and Geospatial Information Systems(CAMGIS) School for Civil and Environmental EngineeringFaculty of Engineering and Information TechnologyUniversity of Technology SydneySydneyNew SouthWales2007Australia Earth Observation Center Institute of Climate ChangeUniversity Kebangsaan MalaysiaUKMBangiSelangor43600Malaysia Department of Geology&Geophysics College of ScienceKing Saud UniversityP.O.Box 2455Riyadh11451Saudi Arabia

Contactless verification is possible with iris biometric identification,which helps prevent infections like COVID-19 from *** systems have grown unsteady and dangerous as a result of spoofing assaults employing contact lenses,replayed the video,and print *** work demonstrates an iris liveness detection approach by utilizing fragmental coefficients of Haar transformed Iris images as signatures to prevent spoofing attacks for the very first time in the identification of iris *** assorted feature creation ways are studied in the presented solutions,and these created features are explored for the training of eight distinct machine learning classifiers and *** predicted iris liveness identification variants are evaluated using recall,F-measure,precision,accuracy,APCER,BPCER,and *** standard datasets were used in the *** main contribution of our study is achieving a good accuracy of 99.18%with a smaller feature *** fragmental coefficients of Haar transformed iris image of size 8∗8 utilizing random forest algorithm showed superior iris liveness detection with reduced featured vector size(64 features).Random forest gave 99.18%***,conduct an extensive experiment on cross datasets for detailed *** results of our experiments showthat the iris biometric template is decreased in size tomake the proposed framework suitable for algorithmic verification in real-time environments and settings.

关键词： Iris images liveness identification Haar transform machine learning biometric feature formation ensemble model

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Distribution of heavy metals in water and sediment of an urban river in a developing country:A probabilistic risk assessment

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International Journal of Sediment Research 2022年第2期37卷 173-187页

作者： Mir Mohammad Ali Saima Rahman Md Saiful Islam Md Refat Jahan Rakib Shaharior Hossen Md Zillur Rahman Tapos Kormoker Abubakr M. Idris Khamphe Phoungthong Institute of Disaster Management Khulna University of Engineering and Technology Department of Aquaculture Sher-e-Bangla Agricultural University Department of Urban and Regional Planning Khulna University of Engineering and Technology Department of Soil Science Patuakhali Science and Technology University Department of Fisheries and Marine Science Noakhali Science and Technology University Department of Fisheries Science Chonnam National University Quality Control Chemistry Lab Department of Fisheries Department of Emergency Management Patuakhali Science and Technology University Department of Chemistry College of Science King Khalid University Research Center for Advanced Materials Science (RCAMS) King Khalid University Environmental Assessment and Technology for Hazardous Waste Management Research Center Faculty of Environmental Management Prince of Songkla University

River water and sediment embody environmental characteristics that give valuable eco-environmental *** to rapid industrialization,the aquatic environment of any urban river can be seriously polluted by heavy metals(HMs).The global concern is caused by heavy metal pollution because of its potential harm to aquatic ecosystems and human *** the Bhairab River,Bangladesh,surface sediment concentrations of globally alarming toxic metals such as arsenic(As),chromium(Cr),cadmium(Cd),and lead(Pb) were measured to determine the ecological and human health risks of the riverine *** average As,Cr,Cd,and Pb concentrations in water were 3.55,31.74,1.44,and23.82 μg/L,respectively,and in sediment were 4.13,34.17,1.66,and 25.46 mg/kg,*** the winter,metals in sediment were higher than during the *** most sediment samples,the enrichment factor(EF),contamination factor(CF),geoaccumulation index(I),pollution load index(PLI) of As,Cr,Cd,and Pb indicated moderate *** potential ecological risk(PER) in sediment followed the descending order of Cd> As> Pb> *** contamination level of toxic metals implied that the condition is frightening and probably severely affecting the aquatic ecology of this riverine ecosystem.

关键词： Toxic metals Environmental risk Bioaccumulation Ecological risk Bangladesh

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Damage Tolerance in Topologically Optimized Structures: Exploring Structural Integrity Through Worst-Case Damage Optimization

Damage Tolerance in Topologically Optimized Structures: Expl...

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International Conference on Steel and Composite for engineering Structures, ICSCES 2023

作者： Benaissa, Brahim Al Ali, Musaddiq Kobayashi, Masakazu Cuong-Le, Thanh Khatir, Samir Design Engineering Lab Department of Mechanical Systems Engineering Toyota Technological Institute 2-12-1 Hisakata Tenpaku-ku Aichi Nagoya468-8511 Japan Department of Advanced Science and Technology Toyota Technological Institute 2-12-1 Hisakata Tenpaku-ku Aichi Nagoya468-8511 Japan Center for Engineering Application and Technology Solutions Ho Chi Minh City Open University Ho Chi Minh City Viet Nam Soete Laboratory Faculty of Engineering and Architecture Ghent University Technologiepark Zwijnaarde 903 Zwijnaarde9052 Belgium

ISBN: (纸本)9783031572234

This paper investigates the application of topology optimization techniques to enhance damage tolerance in structural systems. The focus is on worst-case damage distribution scenarios, aiming to minimize the vulnerability of structures to localized damage. The study proposes a methodology that combines topology optimization with worst-case scenario analysis to identify optimal structural configurations. Considering cantilever beam structures under three distinct boundary conditions, with varying damage sizes, the paper identifies worst-case damage scenarios in both fully and topologically optimized structures. The results demonstrate the algorithm’s efficacy in identifying these scenarios and its adaptability to different structural shapes, boundary conditions, and damage sizes. Comparative analyses between fully and topologically optimized structures yield specific insights into the structures’ performance, equipping structural engineers and researchers focused on topology optimization with valuable information to enhance structural robustness and resilience. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Shape optimization

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Postural Synergy Analysis of Continuous Hand Movements for Application to Prosthetic Hands

Postural Synergy Analysis of Continuous Hand Movements for A...

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International Congress on Image and Signal Processing, BioMedical engineering and Informatics (CISP-BMEI)

作者： Hai Jiang Yusuke Yamanoi Peiji Chen Xu Yong Guanglin Li Hiroshi Yokoi Xiaobei Jing Shenzhen Institute of Advanced Technology (SIAT) Chinese Academy of Sciences (CAS) Shenzhen China Department of Mechanical Engineering and Intelligent Systems The Univiersity of Electro-Communications Tokyo Japan Department of Elecrical Engineering Faculty of Engineering Tokyo University of Science Tokyo Japan

ISBN: (数字)9798331507398

ISBN: (纸本)9798331507404

This paper focuses on exploring the coordinated movements used to control dexterous myoelectric prosthetic hands by hand motion analysis inspired by the motor synergy theory of the human hand. Recently, prosthetic hands have become multi-degree-of-freedom, and simultaneous proportional control of each finger is the most required challenge. In response to this problem, motor synergy is expected to play a key role in constructing the control method because it reduces the amount of information on the control object. In the experiment, we used a Leap Motion controller to measure 60 continuous hand movement data from four healthy individuals, analyzed based on principal component analysis methods, and extracted several principal component data used by humans to control various grasping movements. We produced a hand model with 19 degrees of freedom for visualizing the principal component data. The results of the visualization showed similarities in postural synergies among the four healthy individuals used to control continuous hand movements. Based on the acquired synergies, the number of learning data for the control method of myoelectric prosthetic hands will be greatly reduced.

关键词： Hands Proportional control Data visualization Signal processing Motors Motion measurement Motion analysis Informatics Prosthetic hand Principal component analysis

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Analysis of Typical Features Using an Angle-to-sEMG Decoder Model

Analysis of Typical Features Using an Angle-to-sEMG Decoder ...

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International Congress on Image and Signal Processing, BioMedical engineering and Informatics (CISP-BMEI)

作者： Zehao Liu Hai Jiang Yusuke Yamanoi Peiji Chen Xiaobei Jing Guanglin Li Hiroshi Yokoi Xu Yong Department of Mechanical Engineering and Intelligent Systems Univiersity of Electro-Communications Tokyo Japan Chinese Academy of Sciences (CAS) Shenzhen Institute of Advanced Technology (SIAT) Shenzhen China Department of Elecrical Engineering Faculty of Engineering Tokyo University of Science Tokyo Japan

ISBN: (数字)9798331507398

ISBN: (纸本)9798331507404

Current prosthetic control methods mainly rely on extensive data collection and the training of classification models. Nevertheless, achieving a balance between learning efficiency and classification accuracy remains a persistent challenge. In this paper, we introduce a novel prosthetic control approach that divides the processing of surface electromyography (sEMG) signals into two stages to predict corresponding joint angles. Initially, a pretrained model is utilized to infer the associated joint angles based on typical features. This methodology necessitates the mapping of individual sEMG signals to these typical features through a compact mapping network during application. we think that it will enhance hand motion recognition accuracy while minimizing learning duration though a pre-training approach. This study represents the initial phase, which involves the acquisition and evaluation of the similarity among typical features linked to joint angles. To this end, we constructed angle-to-sEMG models (decoders) and input the same unprocessed continuous joint angle data into the decoders of five participants. Subsequently, we utilized the resultant typical features as inputs for the encoders of different individuals. The findings indicate that, notwithstanding interindividual variability, there exists a degree of resemblance in the typical features associated with joint angles, thus enabling the generation of angle data resembling the true angles even across diverse subjects.

关键词： Training Analytical models Accuracy Biological system modeling Signal processing Electromyography Data models Decoding Surface treatment Prosthetics

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Corrosion protection of Q235 steel in Pseudomonas aeruginosa-laden seawater environment using high barrier PDMS nanocomposite coating

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Safety in Extreme Environments 2023年第4期5卷 281-291页

作者： Arukalam, Innocent O. Uzochukwu, Ikechukwu N. Izionworu, Vincent O. Tüzün, Burak Dagdag, O. Department of Polymer and Textile Engineering Federal University of Technology P.M.B. 1526 Owerri Nigeria Advanced Functional Materials/Corrosion Research Group Africa Centre of Excellence in Future Energies and Electrochemical Systems (ACE-FUELS) Federal University of Technology Owerri Nigeria Department of Chemical/Petrochemical Engineering Rivers State University Nkpolu-Oroworukwo Port Harcourt Nigeria Science Faculty Department of Chemistry Cumhuriyet University Sivas 58140 Turkey Department of Mechanical Engineering Gachon University Seongnam 13120 South Korea

Perfluorodecyltrichlorosilane (PFDS)-modified PDMS-ZnO hydrophobic coating and 2-ethylhexanoic acid (EHA)/PFDS-modified amphiphilic coating were fabricated. The effect of EHA on the barrier properties and corrosion protection effectiveness of PFDS-modified hydrophobic PDMS-ZnO coating was investigated using electrochemical impedance spectroscopy (EIS) and molecular dynamics simulation techniques. The EIS results showed the amphiphilic coating exhibited higher barrier and corrosion protection properties than the hydrophobic coating. The observed EIS results were confirmed by results of the water contact angle measurement, SEM, AFM, EDS and FTIR. The molecular dynamics (MD) simulation results revealed the nature of interaction between the amphiphilic coating and the corrodent, as well as the interaction between hydrophobic coating and the corrodent. The results clearly indicate that amphiphilic coating was most favourable for hydrophilic interaction, whereas the hydrophobic coating was well-disposed to hydrophobic interaction. These agree with the experimental results. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023.

关键词： Amphiphilic Anticorrosion Barrier coating Hydrophobic Pseudomonas aeruginosa

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