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17th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2023

作者： Daniyan, Ilesanmi Ayodeji, Peter Sesan Ale, Felix Adeodu, Adefemi Mpofu, Khumbulani Department of Mechanical & Mechatronics Engineering Achievers University Owo Nigeria Department of Industrial & Production Engineering Federal University of Technology Akure Nigeria Department of Engineering & Space Systems National Space Research and Development Agency Abuja Nigeria Department of Mechanical Engineering University of South Africa Florida South Africa Department of Industrial Engineering Tshwane University of Technology Pretoria0001 South Africa

Cutting stock problem is a problem generally encountered in many manufacturing industries such as the furniture, clothing, glass production, leather, paper, textile, metals industries amongst others most especially during mass production. The problem usually arises during roll slitting whereby a large role is to be cut into smaller pieces. The challenge may be further compounded due to constraints and different variants that arises from product customization, process and machinery as well as customer requirements and quality issues. To address this problem, this study develops a linear integer programming technique and provides a practical guided approach. First mathematical formulation (having objective function and constraints) comprising of a list of q orders, that requires p j pieces was formulated and a list of all possible cuts combination of configuration and patterns were derived. The linear integer program was solved in the MATLAB 2022 environment. The results indicated that the large rolls can be cut into the desired length, number, patterns and configuration in a time effective manner using the developed linear integer programming technique. The results further show that for the total wastes generated was 24 for the optimal solutions. This number of wastes can be considered to be minimal considering the volume of demand and patterns generated from the stock material. Furthermore, 6 out of the 7 pattern optimal solutions generated zero waste. This study provides theoretical and empirical findings that can assist the manufacturing industries in minimizing time and cost variables while addressing stock cutting problems. © 2024 Elsevier B.V.. All rights reserved.

关键词： Integer linear programming

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Method for Determining the Body’s Level of Protection According to Oxidant Status in Assessing the Influence of Industrial Risk Factors on Health

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Critical Reviews in Biomedical Engineering 2023年第2期51卷 1-17页

作者： Korenevskiy, Nikolay A. Al-Kasasbeh, Riad Taha Al-Kasasbeh, Etab Al-Smady, Moaath Musa Aikeyeva, Altyn A. Al-Jundi, Mohammad Rodionova, Sofia N. Al-Habahbeh, Osama M. Filist, Sergey Alshamasin, Mahdi Salman Maksim, Ilyash South-West State University Kursk Russia Department of Mechatronics Engineering School of Engineering The University of Jordan Amman Jordan Al-Karak College Al-Balqa Applied University Jordan Jordan University Hospital Amman Jordan Eurasian National University Nur-Sultan Kazakhstan Department of Endocrinology Eunice Kennedy Shriver National Institute of Child and Human Development National Institutes of Health BethesdaMD United States Department of Mechatronics Engineering Faculty of Engineering Technology Al-Balqa Applied University Amman Jordan ITMO University Kronverksky St. Petersburg Russia

This work aims at improving the quality of health assessments, specifically under the influence of occupational risk factors. For this purpose, additional informative indicators are utilized in prognostic and diagnostic models. The models are used to characterize the level of body protection based on oxidative status. A quantitative method is proposed to assess the body’s level of protection by means of the levels of lipid peroxidation and antioxidant activity, which characterize the body’s oxidative status. A mechanism is developed for integrating the proposed method into prognostic and diagnostic decision rules. The developed rules are in the form of mathematical models used to synthesize hybrid fuzzy decision rules, which are then used to quantify the level of body protection (LBP) against external risk factors, based on the use of protection level functions in terms of lipid peroxidation and antioxidant activity. A mechanism for embedding LBP into predictive and diagnostic decision rules has been proposed. The proposed method is used to predict the occurrence and development of coronary heart disease in railroad locomotive drivers. It was found that to improve the predicting and diagnosing of diseases caused by external pathogenic factors, quantitative assessments of LBP, determined by oxidative status, can be implemented. It has been established that the use of the protection level indicator in predictive decision rules makes it possible to increase the efficiency of the prediction while simultaneously increasing its accuracy. © 2023 by Begell House, Inc.

关键词： Forecasting

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FEATURES OF MATHEMATICAL MODELING OF AIR FLOW IN THE PARAXIAL ZONE OF A VORTEX-CHAMBER EJECTOR WITH A CLOSED OUTLET CHANNEL

International Journal of Mechatronics and Applied Mechanics

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International Journal of mechatronics and Applied Mechanics 2024年第18期2024卷 118-125页

作者： Rogovyi, Andrii Shudryk, Oleksandr Rezvaya, Kseniya Stanciu, Danut Iulian Petruniak, Maryna Bovkun, Viktor Ruzmetov, Andrew Institute of Education and Science in Mechanical Engineering and Transport National Technical University "Kharkiv Polytechnic Institute" 2 Kyrpychova St Kharkiv61002 Ukraine National Institute of Research and Development in Mechatronics and Measurement Technique – INCDMTM Șos. Pantelimon Nr. 6-8 Sector 2 Bucharest21358 Romania Department of Petroleum Engineering and Technology National University "Yuri Kondratyuk Poltava Polytechnic" Pershotravnevyi ave 24 Poltava36011 Ukraine

This article is devoted to the scope of application and the possibility of expanding the use of vortex chamber pumps in various industries. Vortex chamber pumps are well-known as effective devices for pumping liquids and gases with the ability to pump solid particles, which makes them relevant in such areas as oil and gas, the chemical industry, water supply, industrial processing, and energy. Modeling of 3D airflow in vortex chamber pumps using numerical simulation methods in the open OpenFOAM package was carried out to gain a better understanding of their working process. In the calculation, the SST DDES turbulence model. The possibility of using this model appeared only in OpenFOAM version 3.0, with the implementation of an adjustment for the streamline curvature that equals 3. The results of the numerical analysis were compared with experimental data, which confirmed the model's adequacy. The obtained results show that calculated and experimental vacuum, created in the chamber of a pump in its operating mode with a closed outlet, values have excellent coincidence. This indicates the high accuracy of the selected model. The study also proves the prospects for using vortex chamber pumps in new industries and the possibilities for their further enhancement. © 2024, Cefin Publishing House. All rights reserved.

关键词： Vortex flow

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Differential Diagnosis of Pancreatic Cancer and Chronic Pancreatitis According to Endoscopic Ultrasonography Based on the Analysis of the Nature of the Contours of Focal Formations Based on Fuzzy Mathematical Models

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Critical Reviews in Biomedical Engineering 2023年第3期51卷 59-76页

作者： Korenevskiy, Nikolay A. Belozerov, Vladimir Anatolievich Al-Kasasbeh, Riad Taha Al-Smady, Moaath Musa Aikeyeva, Altyn A. Al-Jundi, Mohammad Rodionova, Sofia N. Filist, Seregy Alshamasin, Mahdi Salman Al-Habahbeh, Osama M. Maksim, Ilyash South-West State University Kursk Russia Endoscopy Department BMU Kursk Regional Clinical Hospital Kursk Russia Department of Mechatronics Engineering School of Engineering The University of Jordan Amman Jordan Jordan University Hospital Amman Jordan Eurasian National University Nur-Sultan Kazakhstan Department of Endocrinology Eunice Kennedy Shriver National Institute of Child and Human Development National Institutes of Health BethesdaMD United States Department of Mechatronics Engineering Faculty of Engineering Technology Al-Balqa Applied University Amman Jordan ITMO University Kronverksky St. Petersburg Russia

One of the key echographic signs of focal pathology of the pancreas is the presence of formation contours and their nature. Endoscopic ultrasonography has a unique ability to visualize the echographic texture of the pancreatic parenchyma, and also allows you to assess in detail the boundaries and nature of the contours of the tumor formations of the organ due to the proximity of the ultrasound sensor. However, the differential diagnosis of focal pancreatic lesions remains a difficult clinical task due to the similarity of their echosemiotics. One of the ways to objectify and improve the accuracy of ultrasound data is the use of artificial intelligence methods for interpreting images. Improving the quality of differential diagnosis of focal pathology of the pancreas according to endoscopic ultrasonography based on the analysis of the nature of the contours of focal formations using fuzzy mathematical models. © 2023, Begell House Inc.. All rights reserved.

关键词： Pathology

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Realization of Virtual Laboratory Application and Prototype for a Mechatronic Mechanism with Arduino Uno Board Programmed for a Customized Security Application 4th

Realization of Virtual Laboratory Application and Prototype ...

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4th International Conference on Reliable Systems Engineering, ICoRSE 2024

作者： Munteanu, Iulian Sorin Ungureanu, Liviu Marian Petrescu, Cristian Badea, Florentina Apostolescu, Tudor-Catalin Văleanu, Dana Mirela National University of Science and Technology Politehnica 313 Splaiul Independentei Bucharest Romania National Institute of Research-Development in Mechatronics and Measurement Technique - INCDMTM Bucharest Sos. Pantelimon 6-8 sector 2 Bucharest021631 Romania Titu Maiorescu University Corp M 189 Calea Vacaresti Bucharest0400511 Romania

ISBN: (纸本)9783031706691

In this work, the modeling and simulation of a mechatronic mechanism with the Arduino UNO board that ensures the security of a box of goods, through the virtual application TINKERCAD, was carried out. For the modeling and simulation of this mechatronic assembly with the ARDUINO UNO board, the necessary optimal electronic components were chosen, they were assembled virtually, and an optimized programming code was written, necessary for good operation. The objective solved by modeling and simulation with the TINKERCAD application was completed by making a first improved prototype once the functional tests were carried out, resulting in an innovative, compact and ingenious gadget for securing goods. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Virtual prototyping

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AI - Driven Drug Discovery and Therapeutic Target Identification for Rare Genetic Diseases 2

AI - Driven Drug Discovery and Therapeutic Target Identifica...

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2nd International Conference on Advancements in Smart, Secure and Intelligent Computing, ASSIC 2024

作者： Suresh, T. Kaliappan, S. Ali, H. Mohammed Kumar, Bura Vijay Kumaraguru College of Technology Department of Mechatronics Engineering Tamil Nadu Coimbatore India Lovely Professional University Division of Research and Development Jalandhar - Delhi G.T.Road Punjab Phagwara144411 India Srm Institute of Science and Technology Department Mechanical Engineering Ramapuram Campus Chennai89 India School of Computer Science and Artificial Intelligence Sr University Telangana Warangal506371 India

ISBN: (纸本)9798350370188

This method for AI-driven drug discovery and therapeutic target selection for rare genetic diseases is a cutting-edge and comprehensive strategy for addressing the challenges posed by such diseases. As a prerequisite, it is necessary to collect and combine genomic, transcriptomic, proteomic, and clinical data from numerous sources in a systematic manner. By integrating genetic and clinical data, it is possible to construct a more complete picture of the disorders. Feature selection procedures are utilized to further simplify the research by focusing on the most essential characteristics for target identification and reducing the dimensionality of the data. Based on the integrated data set, machine learning models such as Neural Networks, Support Vector Machines, and Random Forests are utilized to recommend prospective therapeutic targets. Validation and cross-validation techniques are used to assure the validity and generalizability of these models. The strategy emphasizes adherence to applicable ethical principles and legal frameworks while encouraging collaboration across specialties. The patient is the focal point throughout, and new data is continuously collected to improve results and develop more individualized therapies based on everyone's unique genetic profile. The iterative nature of the methodology allows for continual refinement as new data and clinical insights emerge. AI-predicted targets undergo biological validation through in vitro and in vivo experiments, bridging the gap between computational predictions and clinical applications. Knowledge and insights are shared with the scientific community through open-access databases and collaborative platforms. © 2024 IEEE.

关键词： Data integration

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development of Running Support Device for Sports Femoral Prostheses 12

Development of Running Support Device for Sports Femoral Pro...

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12th IEEE Global Conference on Consumer Electronics, GCCE 2023

作者： Nagaseki, Daishi Kato, Kazuya Uematsu, Mizuki Chiba, Hiroyuki Niigaki, Sho Kobayashi, Ryuichi Natori, Hideyuki Okane, Toshimitsu Shonan Institute of Technology Graduate School Fujisawa Japan Shonan Institute of Technology Mechanical Engineering Fujisawa Japan Tokyo Metropolitan Industrial Technology Research Institute Research and Development Dept. Tokyo Japan Tokyo Metropolitan Industrial Technology Research Institute Technology Support Dept. Tokyo Japan Natori Manufacturing Inc. Ageo Japan Institute of Technologists Information Sci. and Mechatronics Eng. Gyoda Japan

ISBN: (纸本)9798350340181

To improve the quality of life (QOL) through exercise, it is necessary to facilitate running with a sports femoral prostheses. A novice runner must maintain a large swing-up angle of the sport femoral prosthesis to prevent falls. In this study, a small sensor device was developed to measure the swing angle of the sports femoral prostheses. The developed device can improve the QOL through exercise. © 2023 IEEE.

关键词： Sports

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An Adaptive Control Method for Ship Path Tracking Accounting for Ship-Ship Hydrodynamic Interaction 11

An Adaptive Control Method for Ship Path Tracking Accounting...

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11th IEEE International Conference on Computer Science and Network technology, ICCSNT 2023

作者： Zhou, Xueqian Xu, Chaozuo Wang, Xiuhuan Lu, Gang Rajendran, Suresh Xin, Ping College of Shipbuilding Engineering Harbin Engineering University Harbin China International Joint Laboratory of Naval Architecture and Offshore Technology Harbin China College of Liberal Education Chongqing Vocational and Technical University of Mechatronics Chongqing China China Ship Development and Design Center Wuhan China Indian Institute of Technology Madras Department of Ocean Engineering Madras India

ISBN: (纸本)9798350311594

Due to the advances of shipbuilding technology, ships are gradually developing in the direction of large-scale and intellectualization. However, the hydrodynamic interaction has been pronounced as the increase in dimensions of ships and has become a significant influencing factor of ships sailing in restricted waters, and the accuracy of ship motion control is limited due to the complex environmental disturbances. Based on the potential flow theory the Hess & Smith panel method, the ship hydrodynamic interaction is calculated in real time, and based on the MMG equation, an adaptive path tracking control method is devised that can be integrated with motions of equation of ships moving in restricted waters. Through frequency domain transformation, the ship response model in restricted waters is simplified to a ship dynamic model, and the model missing terms in the simplified process is adaptively estimated. Accounting for the computational efficiency of hydrodynamic interaction, a path tracking controller for ships in restricted waters is designed based on PD control method with appropriate parameters. By comparing the control effect of PD controller in the model without adaptive estimation and adaptive estimation model, the effectiveness of adaptive estimation is verified. © 2023 IEEE.

关键词： Ships

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Through-Wall Human Sensing Using mmWave FMCW Radar 4

Through-Wall Human Sensing Using mmWave FMCW Radar

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4th Research, Invention, and Innovation Congress: Innovative Electricals and Electronics, RI2C 2023

作者： Phaisiri, Kritthee Boonpoonja, Akkarat Kittiyanpunya, Chainarong Kaemarungsi, Kamol Chudpooti, Nonchanutt Department of Electrical and Computer Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok Bangkok Thailand Department of Mechatronics Engineering Faculty of Engineering Rajamangala University of Technology Rattanakosin Nakhon Pathom Thailand National Electronics and Computer Technology Center National Science and Technology Development Agency Pathumthani Thailand Department of Industrail Physics and Medical Instrumentation Faculty of Applied Science King Mongkut’s University of Technology North Bangkok Bangkok Thailand

ISBN: (纸本)9798350330618

This paper experimentally demonstrates the through wall sensing to detect human movement using a mmwave FMCW radar operating in the 60 GHz to 64 GHz band. The mmWave radar data processing framework focuses on the generation of point cloud data. Each human movement is illustrated with point cloud data, whose represents the position and orientation of pose, usually in 3D-cartesian coordinate system. In experiments, point cloud data from sensing through two different walls were collected for three activities into a 3 m by 3 m room. The data was analyzed through a comparison between the position of point cloud data and the position of the actual posture movement. The results prove that a mmWave radar placed behind the wall of the room is suitable for human detection and tracking in indoor environments, in terms of consistency with the actual posture. . ©2023 IEEE.

关键词： Frequency modulation

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An Artificial Intelligence-based Integrated Framework for Lean and Smart Manufacturing: A Case Study of the Rail Industry

An Artificial Intelligence-based Integrated Framework for Le...

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2024 International Conference on Science, Engineering and Business for Driving Sustainable development Goals, SEB4SDG 2024

作者： Ale, Felix Daniyan, Ilesanmi Aderoba, Olugbenga Adediran, Adeolu A. National Space Research & Development Agency Engineering & Space Systems Abuja Nigeria Achievers University Department of Mechanical & Mechatronics Engineering Owo Nigeria Landmark University Department of Mechanical Engineering Omu-Aran Nigeria Tshwane University of Technology Department of Industrial Engineering Pretoria South Africa University of Johannesburg Department of Mechanical Engineering Science South Africa

ISBN: (纸本)9798350358155

This study deals with the development of an Artificial Intelligence-based integrated digital technology framework for lean and smart manufacturing implementation. Some technologies and techniques driving Industry 4.0 that are considered in this study include Additive Manufacturing (AM), Automatic Train Control (ATC), smart sensors, Internet of Things (IoT), big data, cloud computing, Total Productive Maintenance, Predictive Maintenance (PM), and Artificial Intelligence (AI). Using the rail industry as a case study, an overview of the enabling technologies was presented to acquaint the manufacturing industries with the potentials and applications of these technologies to manufacturing. The study also develops a conceptual framework which incorporates the main driving technologies of lean and smart manufacturing for adoption by the rail industry. The validation of the proposed integrated framework involves the use of AI technology for total productive and predictive maintenance using the rail industry as a case study was conducted in the MATLAB 2020 b environment. The outcome of the demonstration shows the Remaining Useful Life (RUL) of a bearing component of a railcar can be predicted using AI. The predicted RUL of the wheel bearing indicates 500 hours over the next 40 days before failure occurs. Thus, this study adds to the understanding of AI in the lean and smart manufacturing domain. The implementation of the integrated framework can promote efficiency and effectively service delivery in industries that employs the concept of lean and smart manufacturing. © 2024 IEEE.

关键词： Smart manufacturing

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