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Estimation of Shoreline Changes Along the Kozhikode Coast Using High-Resolution Remote Sensing 1

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2022 International Association for Hydraulic Environmental engineering and Research Asia Pacific Division

作者： Saikrishnan, K. Anand, K., V Agilan, V Natl Inst Technol Calicut Dept Civil Engn Kozhikode India

ISBN: (数字)9789819760091

ISBN: (纸本)9789819760084;9789819760091

The coastal zone is one of the most dynamic environments on earth. Geologic, physical, biologic, and anthropomorphic factors shape and constantly modify the coast. Accurate shoreline data is required to design coastal protection structures, identify vulnerable areas and for coastal developmental plans. The availability of satellite data has helped to generate information about the coastal and marine environment. It is efficient in monitoring the changes taking place in the coastal zone. Remote sensing technology has been used to map and effectively monitor shoreline changes in different locations as it provides long-term data. In the present study, shoreline change analysis is carried out for 10 years (2011-2020) along the Kozhikode coast, a district located in the northern part of Kerala. Satellite images from Cartosat 1 and Resourcesat 2 are used in the study. The shoreline change rate for 10 years is calculated using the end point rate (EPR) method with Digital Shoreline Analysis System (DSAS). Based on the shoreline change rates values obtained from DSAS analysis, the location is classified into 5 classes (high, moderate, low erosion, stable and accreting coast). The shoreline change rate ranges from -30 m/year to 20 m/year along the Kozhikode coast. The analysis shows that 64.6% of the district coast is under erosion and 35.4% of the coast is stable and accreting. Locations of erosions are identified so that proper protective measures can be taken to reduce the rate of erosion along the coast.

关键词： Coastal zone EPR method Remote sensing Supervised classification

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Integration of a NLP-Based Industrial Robot Programming System 33rd

Integration of a NLP-Based Industrial Robot Programming Syst...

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33rd International Conference on Flexible Automation and Intelligent Manufacturing

作者： Makrylakis, Panagiotis Benardos, Panorios Natl Tech Univ Athens Sch Mech Engn Mfg Technol Lab Heroon Polytechniou 9 Athens 15772 Greece

ISBN: (纸本)9783031744815;9783031744822

This paper presents the integration of a Natural Language Processing (NLP) approach with an industrial robot to enable voice control for online programming. This approach initially involves real-time conversion of voice commands into text, utilizing the Microsoft Speech Software Development Kit (SDK). The generated text is processed to extract numerical data corresponding to desired positions and orientations. Subsequently, a machine learning binary classification model is trained to distinguish between robot related and unrelated commands. The recognized commands undergo further keyword-based classification based on a preselected vocabulary of supported robot operations, so that finally the inverse kinematics problem can be solved and the relevant robot program can be generated. A custom graphical user interface (GUI) facilitates user interaction. Two modes are supported, the first for issuing multiple individual commands and the second for programming typical pick-and-place industrial tasks. The obtained results using a 6-DOF Staubli RX90L robot verify the approach's feasibility.

关键词： Online robot programming natural language processing support vector machines word embeddings inverse kinematics

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Using Kamishibai Tool to Restructure the Audit Process System of an Aeronautical Company 32nd

Using Kamishibai Tool to Restructure the Audit Process Syste...

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32nd International Conference on Flexible Automation and Intelligent Manufacturing

作者： Marinho, Eduardo Alves, Anabela C. Abreu, Florentina Univ Minho Campus Azurem Guimaraes Portugal Univ Minho ALGORITMI LASI Campus Azurem Guimaraes Portugal

ISBN: (纸本)9783031381645;9783031381652

This paper presents the effectiveness of Kamishibai audits use in restructuring the audit system on a daily basis in the aeronautical sector. This lean tool has a strong visual component allowing to verify if the numerous processes and activities are in accordance with the company's standards, triggering improvement opportunities in all audited areas. The paper objective is to present how this tool was developed and implemented, being described the audit framework, requirements to be audited, the many cards guiding the auditor, the operating method and how useful this tool can be even in large productive process audits. In order to demonstrate this tool effectiveness, an application example to four pilot areas in the company is presented, taking into account some pre-established restrictions. There is a practical motivation due to the existence of numerous non-conformities registered in previous audits. With this tool, company gains were: less audits, audit reduced cost of 5.000 (sic)/year, more non-conformities corrected, reduced time performing the audits. These audits can be successfully used to assess industry standards and increase internal control.

关键词： aeronautic audit Kamishibai lean standards

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Setup Operation Time Estimation System for the Adoption of Cyber-Physical Systems in High-Mix Low-Volume Production 33rd

Setup Operation Time Estimation System for the Adoption of C...

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33rd International Conference on Flexible Automation and Intelligent Manufacturing

作者： Matsuno, Kotomichi Hasegawa, Yasumasa Liyanaarachchi, Nirmala Weng, Jiahua Watanabe, Ruriko Tanimizu, Yoshitaka Takata, Shozo Kobayashi, Yudai Kudo, Shun Waseda Univ 3-4-1 OkuboShinjuku Ku Tokyo 1698555 Japan Kanagawa Univ 3-27-1 Rokkakubashi Yokohama Kanagawa 2218686 Japan DENSO Corp 1 YoshiikeKusagiAgui Cho Chita Aichi 4702298 Japan

ISBN: (纸本)9783031744815;9783031744822

The development and application of CPS (Cyber Physical System) to shop floor management has gained particular attention for its potential to revolutionize traditional manufacturing practices in recent years. However, applications in one-piece flow production or in low-volume, high-mix production, where it is necessary to deliver on time under high uncertainty in operations, has not yet made significant progress. Especially for SMEs (small and medium-sized enterprises) facing budget constraints, the investment for CPS implementation is challenging. Simplified performance management systems using devices like smartphones for manual input have been developed, and their adoption in the field is progressing. Such systems enable the identification of issues in work and production processes using collected data. However, improving accuracy of estimates for operation time and improving precision of production planning remains a challenge due to the limitations in accuracy of collected performance data. In this study, we propose a set-up time estimation system for the machining process of mold production, despite the limited amount of data and low data accuracy. It incorporates a cleansing algorithm based on both actual performance data and the expertise of experienced workers, along with an estimation model utilizing this cleansing algorithm. The effectiveness of the proposed system is examined through numerical experiments based on real-world data.

关键词： Cyber Physical Systems Actual work performance data High-Mix Low-Volume Production Production Scheduling

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Recyclability Assessment of Lignocellulosic Fiber Composites: Reprocessing of Giant Reed/HDPE Composites by Compression Molding 1

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8th International Scientific-Technical Conference (MANUFACTURING)

作者： Suarez, Luis Mhuiri, Aoife Ni Millar, Bronagh McCourt, Mark Cunningham, Eoin Ortega, Zaida Univ Las Palmas Gran Canaria Dept Ingn Mecan Las Palmas Gran Canaria Spain Queens Univ Belfast Sch Mech & Aerosp Engn Stranmillis Rd Belfast North Ireland Queens Univ Belfast Sch Mech & Aerosp Engn Polymer Proc Res Ctr Belfast North Ireland Univ Las Palmas Gran Canaria Dept Ingn Proc Las Palmas Gran Canaria Spain

ISBN: (数字)9783031564741

ISBN: (纸本)9783031564765;9783031564741

This study verified the possibility of recycling polyethylene-based composites with up to 40% of lignocellulosic reinforcement after 5 cycles of compression molding, milling and extrusion. Two forms of filler from the same plant species, Arundo donax L., were studied, namely, fibers and shredded aerial parts of the plant. The properties of composites were assessed at each processing step, finding that the reprocessing affects to more extend the particulate filler than the fibrous one;the lower particle size resulted in lowered tensile properties. However, despite the fiber size reduction, as aspect ratio is not drastically diminished, the better dispersion of the fibers in the matrix counteracts the negative effects of their shorter size. Impact properties are improved with the recycling, possibly due to the increased homogeneity of the samples, which is also translated into a higher density (and lower porosity). The thermomechanical stability of the fiber composites is higher than for the shredded ones. The reduction in size of the fillers is reflected in the lowered viscosity obtained after the reprocessing. The fibers continue stiffening the matrix after the 5 reprocessing cycles, where the milled material acts more as a filler, reducing tensile properties, although showing a good flexural behavior.

关键词： Lignocellulose Natural Fiber Composite Recycling Compression Molding

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3D Finite Element Model for Simulation of mechanical and Electrochemical Effects on Corrosion Defect of Pipeline 10th

3D Finite Element Model for Simulation of Mechanical and Ele...

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10th International Conference on Design and Modeling of mechanical Systems (CMSM)

作者： Feki, Mohamed Said Zghal, Souhir Koubaa, Sana Bouaziz, Zoubeir Abdelmoula, Radhi Univ Sfax Natl Engn Sch Sfax Lab Appl Fluid Mech Environm & Proc Engn LR11ES57 Sfax 3038 Tunisia Univ Paris XIII LSPM CNRS UPR 3407 99 Ave Jean Baptiste Clement F-3407 Villetaneuse France

ISBN: (纸本)9783031671517;9783031671524

This paper deals with the effects of mechanical and electrochemical interactions on the corrosion defect of a pipeline of material grade X100. The pipeline is subjected to tensile strains from the soil and internal pressure in near-neural pH solution. The key idea of this paper is the introduction of newly 3D finite element model for the prediction of coupled mechanical and electrochemical effects on corrosion behavior of the pipeline instead of 2D finite element models commonly used in the literature. The model combines cylindrical metals, electrolyte and electrochemical interface kinetics coupled within mechanical tensile strain induced by soil movement. The finite element simulation of corrosion defect of the pipeline under mechanical and electrochemical effects is performed by utilizing COMSOL MULTIPHYSICS 6.2 software. The simulated parameters covering the stress distribution, corrosion potential, and anodic and cathodic current densities as a function of the size defect and longitudinal tensile strain generate by the soil motion. The developed 3D finite element model is sufficiently reliable to predict the corrosion phenomenon on pipelines under mechanical conditions.

关键词： Corrosion Pipeline Mechano-electrochemical Defect Finite element COMSOL

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Robotic Disassembly Sequence Planning and Line Balancing-Research Trends Review and Bibliometric Analysis 1

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7th International Workshop on Autonomous Remanufacturing (IWAR)

作者： Hartono, Natalia Pham, D. T. Univ Birmingham Birmingham B15 2TT W Midlands England

ISBN: (数字)9783031526497

ISBN: (纸本)9783031526480;9783031526497

Remanufacturing offers benefits to the environment, society, and the economy. Disassembly is the first and most critical operation in remanufacturing. With advancing technology and increasing labour costs, there has been an interest in automating disassembly. Robotic disassembly sequence planning and line balancing are two extensively studied topics in this area. This article establishes a connection between robotic disassembly sequence planning and line balancing and identifies trends through an extensive literature review and bibliometric analysis, shedding light on the research landscape. The findings reveal significant gaps in the literature. While artificial intelligence and machine learning are used in robotic disassembly sequence planning, their integration into robotic disassembly line balancing remains unexplored. Robotic disassembly sequence planning predominantly uses a single-objective approach, while robotic disassembly line balancing adopts a multiobjective nondominated approach, with the genetic algorithm, evolutionary algorithm, and bees algorithm as the most commonly used metaheuristics. These results offer insights and directions for further research in this domain.

关键词： Robotic Disassembly Sequence planning Line balancing Remanufacturing

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An Investigation into the Effect of the Number of the Rubber Blocks of a Resilient Wheel on Wheel-Rail Noise 14th

An Investigation into the Effect of the Number of the Rubber...

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14th International Workshop on Railway Noise (IWRN)

作者： Zhou, Q. He, Y. Xu, F. Sheng, X. He, Y. Liu, Z. Southwest Jiaotong Univ State Key Lab Tract Power Chengdu Sichuan Peoples R China East China Jiaotong Univ Engn Res Ctr Railway Environm Vibrat & Noise Nanchang Jiangxi Peoples R China Southwest Jiaotong Univ Fac Geosci & Environm Engn Chengdu Sichuan Peoples R China Shudao Investment Grp Co Ltd Chengdu Sichuan Peoples R China

ISBN: (纸本)9789819978519;9789819978526

Resilient wheels are widely used in trams due to their ability to reduce noise and vibration. A resilient wheel typically consists of a steel rim, a steel wheel core, a rubber layer, and a press-fit ring on the tram. The rubber layer, which contributes to the noise and vibration reduction, is formed by rubber blocks that are uniformly separated in the circumferential direction. These gaps between the rubber blocks allow for free deformation of the blocks in the circumferential direction, resulting in a lower stiffness than that of a continuous rubber layer. To facilitate the press-fit process, the rubber layer is divided into blocks. This paper employs a wheel/rail noise prediction model to investigate the effect of the number of rubber blocks on wheel-rail noise.

关键词： Resilient wheel Rubber blocks Wheel-rail noise

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Evaluating a Grey-Box System Identification Module for a Digital Twin 32nd

Evaluating a Grey-Box System Identification Module for a Dig...

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32nd International Conference on Flexible Automation and Intelligent Manufacturing

作者： Lesage, Jonathan Brennan, Robert W. Univ Calgary Calgary AB T2N 1N4 Canada

ISBN: (纸本)9783031382406;9783031382413

A key element of any digital twin is the digital replica, or model, of its physical counterpart. When applied to industrial automation systems, it is important to consider the trade-off between model fidelity and computational complexity when developing this model. In this paper, we investigate the use of grey-box modelling as a means of reducing computational complexity while maintaining model fidelity. Two sets of tests are performed on a three-link robotic manipulator to evaluate the effect of input disturbances on the fidelity of the digital twin's system identification module. The results of the test show that the system identification model's parameter estimation is sensitive to input disturbances;however, despite this sensitivity, the model is able to accurately predict the dynamic response of the robotic manipulator.

关键词： Digital Twins System Identification Grey-Box Modelling

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The Quality Manager in the Industry 4.0 Era 32nd

The Quality Manager in the Industry 4.0 Era

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32nd International Conference on Flexible Automation and Intelligent Manufacturing

作者： Almeida, Sara Abreu, Luis P. M. Univ Aveiro ESTGA Agueda Portugal Univ Aveiro TEMA ESTGA Aveiro Portugal

ISBN: (纸本)9783031381645;9783031381652

Recent advances in digitalization have been causing changes in manufacturing and service processes. Impacting production processes and human resources within organizations, tools such as Big Data, Artificial Intelligence, Machine Learning and the Internet of Things enable improvements in communication and support I 4.0 (Industry 4.0) and Q 4.0 (Quality 4.0). Traditional quality managers, in particular, must do an effort to adapt their profile according to digitalization demands. The present paper relates to the quality manager skills that will be required at short and medium term as result of digitalization expansion. Using a focus group and semi-structured interviews, the skills needed to Q 4.0 managing were identified. In order to make a final comparison, the focus group contributions and interviewee responses were categorized. Summarizing the main skills needed to the adaptation of quality managers to the digital era reality, the conclusions highlight the relevance of this study for the target groups.

关键词： Quality Manager Skills Industry 4.0 Quality 4.0 Digital Era

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