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Development of a Method for Detecting Cutting Points of Wilted Leaves Using 2D Image Keypoints and 3D Point Cloud

Journal of Institute of Control, Robotics and systems 2024年第11期30卷 1237-1244页

作者： Kang, Byeong Chang Jung, Ho Won Kim, Jong Hyeong Department of Mechanical Design and Robot Engineering Seoul National University of Science and Technology Korea Republic of Department of Mechanical System and Design Engineering Seoul National University of Science and Technology Korea Republic of

In agriculture, removing withered leaves is crucial for maintaining crop quality and preventing pests and diseases. This paper proposes a method for estimating the pose of wilted leaves and removing wilted leaves. While estimating precisely 3D location and pose information is essential for this task, most of previous methods for pose estimation have difficulty in processing time due to the complexity of feature extraction from 3D point cloud. The proposed method utilizes the YOLOv8 keypoint detection model to obtain image information, and YOLOv7 instance segmentation to isolate the region of interest. We calculate the 3D coordinates of the cutting point and the 3D rotation of the wilted leaf by applying RANSAC plane fitting and projection on 3D point cloud, simplifying the information required for the task. The method was validated using five types of model plant pots, achieving an average processing time of 98.584 ms and an accuracy of 3.83 mm. Additionally, the method recorded a 78% success rate in the removal of withered leaves. © 2024, Institute of Control, Robotics and systems. All rights reserved.

关键词： Machine vision

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Hybrid Dipper Throated and Grey Wolf Optimization for Feature Selection Applied to Life Benchmark Datasets

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Computers, Materials & Continua 2023年第2期74卷 4531-4545页

作者： Doaa Sami Khafaga El-Sayed M.El-kenawy Faten Khalid Karim Mostafa Abotaleb Abdelhameed Ibrahim Abdelaziz A.Abdelhamid D.L.Elsheweikh Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Department of System Programming South Ural State UniversityChelyabinsk454080Russia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Department of Computer Science Faculty of Specific EducationMansoura UniversityEgypt

Selecting the most relevant subset of features from a dataset is a vital step in data mining and machine *** feature in a dataset has 2n possible subsets,making it challenging to select the optimum collection of features using typical *** a result,a new metaheuristicsbased feature selection method based on the dipper-throated and grey-wolf optimization(DTO-GW)algorithms has been developed in this *** can result when the selection of features is subject to metaheuristics,which can lead to a wide range of ***,we adopted hybrid optimization in our method of optimizing,which allowed us to better balance exploration and harvesting chores more *** propose utilizing the binary DTO-GW search approach we previously devised for selecting the optimal subset of *** the proposed method,the number of features selected is minimized,while classification accuracy is *** test the proposed method’s performance against eleven other state-of-theart approaches,eight datasets from the UCI repository were used,such as binary grey wolf search(bGWO),binary hybrid grey wolf,and particle swarm optimization(bGWO-PSO),bPSO,binary stochastic fractal search(bSFS),binary whale optimization algorithm(bWOA),binary modified grey wolf optimization(bMGWO),binary multiverse optimization(bMVO),binary bowerbird optimization(bSBO),binary hysteresis optimization(bHy),and binary hysteresis optimization(bHWO).The suggested method is superior 4532 CMC,2023,vol.74,no.2 and successful in handling the problem of feature selection,according to the results of the experiments.

关键词： Metaheuristics dipper throated optimization grey wolf optimization binary optimizer feature selection

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A Novel Hybrid Architecture for Superior IoT Threat Detection through Real IoT Environments

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Computers, Materials & Continua 2024年第11期81卷 2299-2316页

作者： Bassam Mohammad Elzaghmouri Yosef Hasan Fayez Jbara Said Elaiwat Nisreen Innab Ahmed Abdelgader Fadol Osman Mohammed Awad Mohammed Ataelfadiel Farah H.Zawaideh Mouiad Fadeil Alawneh Asef Al-Khateeb Marwan Abu-Zanona Department of Computer Science Faculty of Computer Science and Information TechnologyJerash UniversityJerash26150Jordan Computer Engineering Department College of Engineering&Information Technology Buraydah CollegesBuraydah51418Saudi Arabia Faculty of Architecture and Design Al-Zaytoonah University of JordanAmman11733Jordan Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityDiriyahRiyadh13713Saudi Arabia Applied College King Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Business Intelligence and Data Analysis Faculty of Financial Sciences and BusinessIrbid National UniversityIrbid21110Jordan Faculty of Information Technology Ajloun National UniversityAjlun26810Jordan Department of Management Information Systems College of Business AdministrationKing Faisal UniversityAl-Ahsa31982Saudi Arabia

As the Internet of Things(IoT)continues to expand,incorporating a vast array of devices into a digital ecosystem also increases the risk of cyber threats,necessitating robust defense *** paper presents an innovative hybrid deep learning architecture that excels at detecting IoT threats in real-world *** proposed model combines Convolutional Neural Networks(CNN),Bidirectional Long Short-Term Memory(BLSTM),Gated Recurrent Units(GRU),and Attention mechanisms into a cohesive *** integrated structure aims to enhance the detection and classification of complex cyber threats while accommodating the operational constraints of diverse IoT *** evaluated our model using the RT-IoT2022 dataset,which includes various devices,standard operations,and simulated *** research’s significance lies in the comprehensive evaluation metrics,including Cohen Kappa and Matthews Correlation Coefficient(MCC),which underscore the model’s reliability and predictive *** model surpassed traditional machine learning algorithms and the state-of-the-art,achieving over 99.6%precision,recall,F1-score,False Positive Rate(FPR),Detection Time,and accuracy,effectively identifying specific threats such as Message Queuing Telemetry Transport(MQTT)Publish,Denial of Service Synchronize network packet crafting tool(DOS SYN Hping),and Network Mapper Operating system Detection(NMAP OS DETECTION).The experimental analysis reveals a significant improvement over existing detection systems,significantly enhancing IoT security *** our experimental analysis,we have demonstrated a remarkable enhancement in comparison to existing detection systems,which significantly strength-ens the security standards of *** model effectively addresses the need for advanced,dependable,and adaptable security solutions,serving as a symbol of the power of deep learning in strengthening IoT ecosystems amidst the constantly evolving cyber threat *** achievemen

关键词： A hybrid deep learning model IoT threat detection real IoT environments cybersecurity attention mechanism

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Awareness of Disaster Risk and Preparedness: Insights from a Survey of Children and Adults in Thailand 23

Awareness of Disaster Risk and Preparedness: Insights from a...

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23rd International Symposium on Communications and Information Technologies, ISCIT 2024

作者： Laosunthara, Ampan Leelawat, Natt Ohashi, Takumi Sararit, Titaya Srivichai, Mongkonkorn Tang, Jing School of Environment and Society Tokyo Institute of Technology Tokyo Japan Chulalongkorn University Faculty of Engineering Department of Industrial Engineering Bangkok Thailand Chulalongkorn University Disaster and Risk Management Information Systems Research Unit Bangkok Thailand Graduate School of System Design and Management Keio University Kanagawa Japan Tokyo Institute of Technology Department of Transdisciplinary Science and Engineering Tokyo Japan Chiangmai University Faculty of Architecture Chiangmai Thailand Rajamangala University of Technology Lanna Faculty of Engineering Department of Civil Engineering Chiangrai Thailand International School of Engineering Chulakongkorn University Faculty of Engineering Bangkok Thailand

ISBN: (纸本)9798350353952

Enhancing disaster awareness and preparedness is crucial for building resilient societies. This study comprehensively assessed the levels of disaster awareness and preparedness among children and adults in Thailand through qualitative and quantitative surveys. Children strongly emphasized the importance of disaster education in school curricula, leveraging multimedia channels for risk communication, and implementing early warning systems. In contrast, adults exhibited a greater understanding of the significance of business continuity and disaster management technologies. These findings revealed disparities in disaster awareness across age groups. The insights from this study suggest age-specific engineering system approaches to information dissemination, contributing to the development of inclusive disaster preparedness strategies that incorporate diverse stakeholder perspectives. Children highlighted the need for practical training on survival skills, accessible disaster communication through SMS alerts, and monitoring systems for timely information dissemination. Adults, on the other hand, placed greater importance on business continuity planning and recognized the usefulness of technologies like satellite imagery for disaster management. By identifying these gaps and areas for improvement, this research provides valuable guidance for tailoring interventions, fostering a culture of preparedness, and harnessing technological solutions that resonate with the needs and concerns of different age cohorts within Thai society. © 2024 IEEE.

关键词： Satellite imagery

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Formation of Laser-Induced Periodic Surface Structures on Reaction-Bonded Silicon Carbide by Femtosecond Pulsed Laser Irradiation

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Nanomanufacturing and Metrology 2023年第1期6卷 36-48页

作者： Tushar Meshram Jiwang Yan School of Integrated Design Engineering Graduate School of Science and TechnologyKeio UniversityHiyoshi 3-14-1Kohoku-kuYokohama 223-8522Japan Department of Mechanical Engineering Faculty of Science and TechnologyKeio UniversityHiyoshi 3-14-1Kohoku-kuYokohama 223-8522Japan

Reaction-bonded silicon carbide(RB-SiC)is an excellent engineering material with high hardness,stiffness,and resistance to chemical ***,its widespread use is hindered due to the properties mentioned above,making it difficult to machine functional surface structures through mechanical and chemical *** study investigated the fundamental characteristics of laser-induced periodic surface structures(LIPSSs)on RB-SiC via femtosecond pulsed laser irradiation at a wavelength of 1028 ***-spatial-frequency LIPSS(LSFL)and high-spatial-frequency LIPSS(HSFL)formed on the surface along directions perpendicular to the laser *** grains surrounded by a large amount of Si show a reduced threshold for LIPSS *** varying laser fluence and scanning speed,HSFL-LSFL hybrid structures were generated on the SiC *** electron microscopy observations and Raman spectroscopy were carried out to understand the formation mechanism of the hybrid LIPSS.A possible mechanism based on the generation of multiple surface electromagnetic waves due to the nonlinear response of SiC was proposed to explain the hybrid structure ***,the direction of laser scanning with respect to laser polarization affects the uniformity of the generated LIPSS.

关键词： Reaction-bonded silicon carbide Surface texturing Laser-induced periodic surface structure Composite material Hybrid nanostructure

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Effect of shape of single-roll rapid solidification nozzles on properties of ribbons for magnesium rechargeable batteries

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Keikinzoku/Journal of Japan Institute of Light Metals 2025年第2期75卷 114-119页

作者： Kirimoto, Yuichi Tsukeda, Tadayoshi Aida, Tetsuo Tabata, Hironobu Haga, Toshio Kurihara, Hideki Suzuki, Mayumi Department of Nano and Functional Material Science Graduate School of Science and Engineering for Education University of Toyama 3190 Gofuku Toyama Toyama-shi930-8555 Japan Faculty of Sustainable Design Academic Assembly University of Toyama Toyama Toyama-shi Japan CHUETSU METAL WORKS CO. LTD. Nakaniikawa-gun Toyama Japan Department of Mechanical Engineering Osaka Institute of Technology Osaka Osaka-shi Japan Saitama Industrial Technology Center Saitama Saitama-shi Japan Department of Mechanical Systems Engineering Faculty of Engineering Toyama Prefectural University Toyama Imizu-shi Japan

In developing ribbons for use as anode materials in innovative rechargeable batteries, magnesium ribbons were manufactured using a single-roll rapid solidification method. The quality of ribbons, such as their surface characteristics and defects, was considered to be largely determined by the manufacturing conditions of single-roll rapid solidification method, and it was also reported that shape of nozzle used to spray molten magnesium also had a significant effect on the quality of ribbons. In this study, ribbons were produced using nozzles with various internal gradient angles, and the surface properties, cross-sectional structure, and internal and external defects of the ribbons were evaluated. In actual ribbon production, it was confirmed that a nozzle with a smaller gradient angle could produce ribbons with a stable yield of over 70%. This is because adding a gradient shape allows smooth molten metal to be sprayed out. In the microstructure observation of the ribbons, a network-like second phase was observed near the free-solidification surface. A difference in cell size was also confirmed with the change in nozzle shape. In addition, the relationship between cell size and hardness was investigated, and it was confirmed that the hardness value decreases as the cell size increases. © 2025 The Japan Institute of Light Metals.

关键词： Hardness

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Bioactive injectable composites based on insulin-functionalized silica particles reinforced polymeric hydrogels for potential applications in bone tissue engineering

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Journal of Materials science & technology 2022年第10期105卷 153-163页

作者： Aleksandra Krajcer Joanna Klara Wojciech Horak Joanna Lewandowska-Łańcucka Faculty of Chemistry Jagiellonian UniversityGronostajowa 2Kraków 30-387Poland AGH University of Science and Technology Faculty of Mechanical Engineering and RoboticsDepartment of Machine Design and TechnologyAl.Mickiewicza 30Kraków 30-059Poland

Novel bioactive injectable composites based on biopolymeric hydrogels reinforced with insulin-functionalized silica particles were *** insulin(INS)was immobilized on the surface of amine-modifed silica particles employing covalent attachment by EDC/NHS chemistry and via electrostatic *** resulting formulations were examined for the morphology(SEM),chemical composition(FTIR,XPS)as well as protein *** facilitate the injectability and support the bone regeneration,developed particles were dispersed in biopolymeric sol composed of collagen,chitosan and lysinemodifed hyaluronic acid and crosslinked with *** means of rheological study,the sol-gel in situ transition of obtained systems was *** was found in vitro study that MG-63 cells cultured on the developed composites exhibit signifcantly higher alkaline phosphatase(ALP)activity,compared to the pristine ***,the biomineralization ability in the simulated body fluid(SBF)model was also *** fndings suggest that proposed herein novel hydrogel-based composites might be the promising formulation for regeneration of bone defects,especially as a less-cost effective support/alternative for BMP-2 systems.

关键词： Injectable composites Biopolymers Insulin-functionalized silica particles Bone tissue engineering

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Multi-Objective Optimization of Swirling Impinging Air Jets with Genetic Algorithm and Weighted Sum Method

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Frontiers in Heat and Mass Transfer 2025年第1期23卷 71-94页

作者： Sudipta Debnath Zahir Uddin Ahmed Muhammad Ikhlaq Md.Tanvir Khan Avneet Kaur Kuljeet Singh Grewal Future Urban and Energy Lab for Sustainability(FUEL-S) Faculty of Sustainable Design Engineering(FSDE)University of Prince Edward IslandCharlottetownPE C1A4P3Canada Department of Mechanical Engineering Khulna University of Engineering&Technology(KUET)Khulna9203Bangladesh School of Engineering Newcastle UniversityNewcastle Upon TyneNE17RUUK Dyson Institute of Engineering and Technology Tetbury HillMalmesburySN160RPUK Department of Mechanical and System Engineering Okayama UniversityOkayama7008530Japan Faculty of Sustainable Design Engineering(FSDE) University of Prince Edward IslandCharlottetownPE C1A4P3Canada

Impinging jet arrays are extensively used in numerous industrial operations,including the cooling of electronics,turbine blades,and other high-heat flux systems because of their superior heat transfer *** the design and operating parameters of such systems is essential to enhance cooling efficiency and achieve uniform pressure distribution,which can lead to improved system performance and energy *** paper presents two multi-objective optimization methodologies for a turbulent air jet impingement cooling *** governing equations are resolved employing the commercial computational fluid dynamics(CFD)software ANSYS Fluent *** study focuses on four controlling parameters:Reynolds number(Re),swirl number(S),jet-to-jet separation distance(Z/D),and impingement height(H/D).The effects of these parameters on heat transfer and impingement pressure distribution are ***-dominated Sorting Genetic Algorithm(NSGA-II)and Weighted Sum Method(WSM)are employed to optimize the controlling parameters for maximum cooling *** aim is to identify optimal design parameters and system configurations that enhance heat transfer efficiency while achieving a uniform impingement pressure *** findings have practical implications for applications requiring efficient *** optimized design achieved a 12.28%increase in convective heat transfer efficiency with a local Nusselt number of 113.05 compared to 100.69 in the reference *** convective cooling and heat flux were observed in the optimized configuration,particularly in areas of direct jet ***,the optimized design maintained lower wall temperatures,demonstrating more effective thermal dissipation.

关键词： Jet impingement multi-objective optimization pareto front NSGA-Ⅱ WSM

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Dispersion engineering of Crystalline Microresonators for Optical Frequency Comb Generation beyond C-Band

Dispersion Engineering of Crystalline Microresonators for Op...

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Pacific Rim Conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

作者： Ryomei Takabayashi Hikaru Kodama Koya Tanikawa Yasuhiro Kakinuma Takasumi Tanabe Shun Fujii Department of Electronics and Electrical Engineering Faculty of Science and Technology Keio University Yokohama Japan Department of System Design Engineering Faculty of Science and Technology Keio University Yokohama Japan Department of Physics Faculty of Science and Technology Keio University Yokohama Japan

We detail a dispersion engineering strategy for microresonators allowing us to generate microcombs in the near-infrared and mid-infrared regimes, and identifying optimal shapes for achieving anomalous dispersion suite... 详细信息

ISBN: (数字)9798350372076

ISBN: (纸本)9798350372083

关键词： Shape C-band Lasers and electrooptics Microcavities Optical harmonic generation Dispersion Electro-optical waveguides

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Message Verification Protocol Based on Bilinear Pairings and Elliptic Curves for Enhanced Security in Vehicular Ad Hoc Networks

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Computers, Materials & Continua 2024年第10期81卷 1029-1057页

作者： Vincent Omollo Nyangaresi Arkan A.Ghaib Hend Muslim Jasim Zaid Ameen Abduljabbar Junchao Ma Mustafa A.Al Sibahee Abdulla J.Y.Aldarwish Ali Hasan Ali Husam A.Neamah Department of Computer Science and Software Engineering Jaramogi Oginga Odinga University of Science and TechnologyBondo40601Kenya Department of Applied Electronics Saveetha School of EngineeringSIMATSChennaiTamilnadu602105India Information Technology Department Management Technical CollegeSouthern Technical UniversityBasrah61004Iraq Department of Computer Science College of Education for Pure SciencesUniversity of BasrahBasrah61004Iraq College of Big Data and Internet Shenzhen Technology UniversityShenzhen518118China Huazhong University of Science and Technology Shenzhen InstituteShenzhen518000China National Engineering Laboratory for Big Data System Computing Technology Shenzhen UniversityShenzhen518060China Computer Technology Engineering Department Iraq University CollegeBasrah61004Iraq Department of Mathematics College of Education for Pure SciencesUniversity of BasrahBasrah61004Iraq Institute of Mathematics University of DebrecenDebrecenH-4002Hungary Department of Electrical Engineering and Mechatronics Faculty of EngineeringUniversity of DebrecenDebrecen4028Hungary

Vehicular ad hoc networks(VANETs)provide intelligent navigation and efficient route management,resulting in time savings and cost reductions in the transportation ***,the exchange of beacons and messages over public channels among vehicles and roadside units renders these networks vulnerable to numerous attacks and privacy *** address these challenges,several privacy and security preservation protocols based on blockchain and public key cryptography have been proposed ***,most of these schemes are limited by a long execution time and massive communication costs,which make them inefficient for on-board units(OBUs).Additionally,some of them are still susceptible to many *** such,this study presents a novel protocol based on the fusion of elliptic curve cryptography(ECC)and bilinear pairing(BP)*** formal security analysis is accomplished using the Burrows–Abadi–Needham(BAN)logic,demonstrating that our scheme is verifiably *** proposed scheme’s informal security assessment also shows that it provides salient security features,such as non-repudiation,anonymity,and ***,the scheme is shown to be resilient against attacks,such as packet replays,forgeries,message falsifications,and *** the performance perspective,this protocol yields a 37.88%reduction in communication overheads and a 44.44%improvement in the supported security ***,the proposed scheme can be deployed in VANETs to provide robust security at low overheads.

关键词： Attacks bilinear elliptic curve cryptography(ECC) privacy security vehicular ad hoc network(VANET)

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