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International Conference on Power Electronics (ICPE)

作者： J. Häring M. Hepp W. Wondrak M.-M. Bakran Department of Mechatronics Centre for Energy Technology University of Bayreuth Germany Mercedes-Benz AG Power Electronics Advanced Engineering E-Motor Development and Power Electronics Germany

Increasing dc-link voltage levels of battery electric vehicles implicate new requirements for traction inverters. Besides the application of higher-blocking wide-bandgap semiconductors, further technological solutions can contribute to highly efficient, low-cost inverter designs. 3-level inverters comprise the potential to improve future electric powertrains and thus need to be investigated concerning this application. This paper gives an overview over restrictions and opportunities of using a 3-level inverter in 800 V electric powertrains with focus on the ANPC structure. The discussed aspects include losses, harmonic performance, modulation, and especially the operation under fault condition.

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Practical Demand Side Management and Demand Response in Large Scale Buildings with Multiple Case Studies

Practical Demand Side Management and Demand Response in Larg...

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International Conference on European Electricity Market, EEM

作者： Ahmet Köse Ivan Sukhanov Mikk Maivel Aleksei Tepljakov Hossein Nourollahi Hokmabad Eduard Petlenkov Product development R8 Technologies OÜ Tallinn Estonia Dept. of Computer Systems Tallinn Univ. of Technology Tallinn Estonia Dept. of Electrical Power Engineering and Mechatronics Tallinn Univ. of Technology Tallinn Estonia

ISBN: (数字)9798350381740

ISBN: (纸本)9798350381757

This paper proposes a demand-side management (DSM) solution for commercial buildings to optimize energy consumption in response to fluctuating energy prices. The DSM algorithm was tested during extreme days with high electricity prices and also negative energy prices, demonstrating its ability to reduce consumption without compromising indoor comfort. The paper also discusses the practical implementation of demand response (DR) services for automatic upward and downward balancing of the energy grid automatically, highlighting the potential for third-party software to improve energy performance in the portfolio of commercial buildings without additional investments.

关键词： Energy consumption Demand side management Buildings Software as a service Europe Estimation Demand response

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development of Bottle Washing Machine for Small Scale Bottling Industries

Development of Bottle Washing Machine for Small Scale Bottli...

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IEEE International Conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON)

作者： Olusola Olasanoye Sesan Peter Ayodeji Daomi Esau Abiodun Ilesanmi Daniyan Augustine Lawal Adeolu A. Adediran Department of Mechanical & Mechatronics Engineering Achievers University Owo Nigeria Department of Industrial and Production Engineering Federal University of Technology Akure Nigeria Centre for Geodesy and Geodynamics National Space Research & Development Agency Toro Bauchi State Nigeria Department of Mechatronics Engineering Bells University of Technology Ota Nigeria Department of Materials & Metallurgical Engineering Federal University Oye Ekiti Nigeria

ISBN: (数字)9798331542559

ISBN: (纸本)9798331542566

The bottle washing machine is type of machine used in removing bottle contaminants. This report includes the technical description of the bottle washing machine. It discusses the basic principles and theory of operation of the bottle washing machine, detailed description for the equipment and equations governing the variables of bottle washing machine showing all the mechanical parts of the machine. The bottle washing machine is made up of the power transmission system, the bottle conveyor and the washing water supply system. A nozzle device mechanism was used to increase the velocity, momentum and acceleration of a flowing fluid. The reason for using a nozzle in the bottle washing machine is to increase the velocity with which the water enters the bottles. The dirt will be removed as the bottles are turned upside down. The nozzles direct the flow of the water to the bottles with the help of its circular and convergent nature. The bottle washing machine was designed and fabricated using locally available materials to see the possibility of producing this machine locally and comparing it against the imported ones. Bottle washing machine was successful designed and fabricated. Test to determine the purity of washing was carried out. From the trial 75 litres required to wash 10 bottles each of size 35, 50, 70 and 100 Cl in 27 minutes.

关键词： Industries Liquids Pumps Power transmission Reliability engineering Cleaning Stability analysis Planning Manufacturing Washing machines

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development of Bottle Washing Machine for Small Scale Bottling Industries 5

Development of Bottle Washing Machine for Small Scale Bottli...

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5th IEEE International Conference on Electro-Computing Technologies for Humanity, NIGERCON 2024

作者： Olasanoye, Olusola Ayodeji, Sesan Peter Abiodun, Daomi Esau Daniyan, Ilesanmi Lawal, Augustine Adediran, Adeolu A. Achievers University Department of Mechanical & Mechatronics Engineering Owo Nigeria Federal University of Technology Department of Industrial and Production Engineering Akure Nigeria National Space Research & Development Agency Centre for Geodesy and Geodynamics Bauchi State Toro Nigeria Bells University of Technology Department of Mechatronics Engineering Ota Nigeria Federal University Department of Materials & Metallurgical Engineering Oye Ekiti Nigeria

ISBN: (纸本)9798331542559

关键词： Bottle washing machines

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Wheeled Magnetic Adsorption Wall Climbing Robot Based on Damped Shaft Design

Wheeled Magnetic Adsorption Wall Climbing Robot Based on Dam...

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IEEE International Conference on Control and Robotics Engineering (ICCRE)

作者： Youli Chen Peichen Wang Yunzhou Li Jin Wei Xing Yao Peng Zhang School of Mechatronics Engineering Harbin Institute of Technology Harbin Heilongjiang Province China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin Heilongjiang Province China Research and development center Shenzhen Etop Information corporation Shenzhen Guangdong Province China

ISBN: (数字)9798350372694

ISBN: (纸本)9798350372700

With the widespread use of steel structures, the need for regular inspection and surface cleaning of steel structures is increasing. Robots can solve the problem of the risk of working at heights in traditional manual inspection but currently suffer from a lack of flexibility and load capacity. Therefore, in this paper, a wheeled magnetic adsorption wall-climbing robot based on a damped pivot system is proposed to provide power and adhesion force through a high reduction ratio hybrid drive mechanism and strong magnetic wheels. Experimental results show that the robot can move freely on the outer surface of a pipe with a diameter of at least 70 mm, easily overcome obstacles of up to 6 mm, and support loads of up to 10 kg, which significantly improves the flexibility and load capacity of the robot.

关键词： Surface cleaning Shafts Magnetomechanical effects Adsorption Wheels Manuals Inspection

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An Optimized Hamiltonian Quantum Generative Network Based Drug-Drug Interactions Prediction Through Combining Local And Global Features 4

An Optimized Hamiltonian Quantum Generative Network Based Dr...

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4th IEEE International Conference on ICT in Business Industry and Government, ICTBIG 2024

作者： Kaliappan, Seeniappan Maranan, R. Muthukannan, M. Deshmukh, Ram Gnanasekaran, Jegan Ramya, M. Kcg College of Technology Department of Mechanical Engineering Tamil Nadu Chennai600097 India Saveetha School of Engineering Simats Department of Research and Innovation Tamil Nadu Chennai602105 India Kcg College of Technology Department of Civil Engineering Chennai600 097 India Sr University Department of Electrical and Electronics Engineering Telangana Warangal506371 India Kcg College of Technology Department of Mechatronics Engineering Karapakkam Tamil Nadu Chennai600097 India Lovely Professional University Division of Research and Development Jalandhar - Delhi G.T.Road Punjab Phagwara144411 India

ISBN: (纸本)9798331518981

This work is important in clinical practice and drug development because DDIs are a major factor that poses serious risks to patients' safety. To enable medication to be given properly with the least side effects, probable DDIs must be predicted correctly. This work introduces a new Spike driven Transformer based Hamiltonian Quantum Generative Adversarial Network with Gorilla Troops Optimizer (SDTbHQGAN-GTO), which achieves every given data set's accurate DDIs prediction with ease. First, the DDIs datasets are obtained and then pre-processed where noise feature is eliminated from the data through normalization and data cleaning process. Subsequently, the local and global features concerning DDI prediction can be acquired employing Spike driven Transformer (SDT). After that, the DDI interaction can be predicted from the extracted data using Hamiltonian Quantum Generative Adversarial Network with Gorilla Troops Optimizer abbreviated as HQGAN-GTO. It is also possible to optimize the parameters of the HQGAN including reduction of the error and enhancement of the prediction accuracy using the Gorilla Troops Optimizer (GTO). Finally, the performance of the proposed method can be analysed in terms of accuracy, precision, recall and f-score. This approach is superior to the suggested one in terms of the worst-case higher order estimate in offering better 99.82% accuracy, 99.81% precision, 99.812% f1-score, 99.821% recall. Therefore for the accurate prediction of DDIs the proposed method surpasses the current methods in a significant way. © 2024 IEEE.

关键词： Generative adversarial networks

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Random Coupled Neural Network with Sand Cat Swarm Optimization for Automatic Object Detection in Aerial Images 4

Random Coupled Neural Network with Sand Cat Swarm Optimizati...

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4th IEEE International Conference on ICT in Business Industry and Government, ICTBIG 2024

作者： Kaliappan, Seeniappan Sinha, Bhawna Ramya, M. Aluvala, Srinivas Nitheesh, S. Maranan, R. Kcg College of Technology Department of Mechanical Engineering Tamil Nadu Chennai600097 India Bailey Road Patna800001 India Lovely Professional University Division of Research and Development Punjab Phagwara144411 India Sr University School of Computer Science & Artificial Intelligence Telangana Warangal506371 India Kcg College of Technology Department of Mechatronics Engineering Karapakkam Tamil Nadu Chennai600097 India Simats Saveetha School of Engineering Department of Research and Innovation Tamil Nadu Chennai602105 India

ISBN: (纸本)9798331518981

Object detection in aerial images plays a crucial role in parking space management, traffic monitoring, and surveillance systems. Every day, vast amounts of aerial and satellite imagery are being collected, and analyzing this extensive data can greatly benefit numerous practical applications. However, traditional Automatic Object detection in aerial image methods struggles with challenges posed by complex backgrounds and detecting small objects in large-scale scenes. To address the previously mentioned challenges, a Random Coupled Neural Network with Sand Cat Swarm Optimization (RCNNet+SCSO) is proposed for automatic object detection in aerial images, ensuring high accuracy. In this approach, images from the UC Merced dataset are used, and to initially reduce noise in the input data, Shape-Aware Mesh Normal Filtering (SAMNF) is introduced. Next, the pre-processed images are subjected to object detection using Improved YOLO-V4. Following that, classification is performed with the Random Coupled Neural Network (RCNNet), which is optimized by Sand Cat Swarm Optimization (SCSO), resulting in automatic object detection in aerial images with enhanced efficiency and accuracy. The performance of the proposed RCNNet+SCSO is evaluated using the UC Merced dataset, achieving 99.2% accuracy and demonstrating superior results compared to existing methods. The outcomes of the proposed technique showed automatic object detection in aerial images that enhance the efficiency of various applications, including urban planning, traffic management, and surveillance. By leveraging advanced algorithms, it accurately identifies vehicles, buildings, and other objects, even in complex environments. This technology offers improved scalability and precision compared to traditional methods. © 2024 IEEE.

关键词： Mesh generation

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Towards the development of Resilient Manufacturing Systems: A Systematic Literature Review

Towards the Development of Resilient Manufacturing Systems: ...

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Science, Engineering and Business for Sustainable development Goals (SEB-SDG), International Conference on

作者： Yvonne Magodi Ilesanmi Daniyan Khumbulani Mpofu Felix Ale Department of Industrial Engineering Tshwane University of Technology Pretoria South Africa Department of Mechanical & Mechatronics Engineering Achievers University Owo Nigeria Department of Engineering & Space Systems National Space Research & Development Agency Abuja Nigeria

ISBN: (数字)9798350358155

ISBN: (纸本)9798350358162

In this era of global competitiveness, volatility, and uncertainty there is an increasing quest for the development of resilient manufacturing systems that are resistant to disruptions or that are quick to recover from disruptions. Resilient manufacturing systems are crucial, and this was accentuated during the covid-19 pandemic and the war between Russia and Ukraine, where global value chains were severely disrupted. These events exposed the loopholes in the manufacturing system and presented a gap to improve the manufacturing systems. This study reviewed some existing solutions geared towards achieving resilient manufacturing. A systematic literature review method was used to gather information on the state of the art and the requirements necessary for the development of resilient manufacturing systems. The reviewed literature inclines to the use of big data analytics, machine learning and artificial intelligence as viable options to achieving resilient manufacturing. This study also highlights different resilient manufacturing frameworks and approaches that manufacturing industries can adopt or adjust based on their unique requirements. Future studies can consider the application of resilient manufacturing strategies to achieve a robust manufacturing system using a specific case study.

关键词： Manufacturing industries Manufacturing processes Uncertainty Supply chains Machine learning Stability analysis Manufacturing

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Effect of thermal oxidation on the dry sliding friction and wear behaviour of CP-Ti on CP-Ti tribopairs

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Surface Science and technology 2023年第1期1卷 274-289页

作者： Yong Sun Richard Bailey Jin Zhang Yong Lian Xiulin Ji School of Engineering and Sustainable Development Faculty of ComputingEngineering and MediaDe Montfort UniversityLeicester LE19BHUK Institute of Advanced Materials Technology University of Science and Technology BeijingBeijing 100083China Department of Mechatronics Engineering Shantou UniversityShantou 525063China

Thermal oxidation(TO)has proven to be a cost-effective and efficient technique to engineer the surfaces of titanium and its alloys to achieve enhanced surface *** benefits of TO treatment in enhancing the tribological properties of titanium have been demonstrated by many ***,most of the reported tribological studies have been based on the contact between a TO treated titanium specimen and a counter-body made of other materials,mainly ceramics,steels and *** few studies have been reported on the friction and wear behaviour of TO treated titanium sliding against TO treated *** this work,the effect of thermal oxidation on the dry sliding friction and wear behaviour of commercially pure Ti(CP-Ti)on CP-Ti tribopairs was investigated under loading conditions ranging from elastic contact to plastic *** were made among three contact pairs:(1)untreated Ti on untreated Ti(Ti-Ti),(2)untreated Ti on TO treated Ti(Ti-TO)and(3)TO treated Ti on TO treated Ti(TO-TO).The results show that the TO-TO contact pair presents an ideal material combination to achieve the best tribological performance in terms of low friction and superior wear *** the other hand,the Ti-Ti pair presents the worst combination in terms of tribological *** the Ti-TO pair performs better than the Ti-Ti pair tribologically,it is not as good as the TO-TO *** is essential to thermally oxidize both specimens in order to achieve optimal tribological *** is the oxide layer-on-oxide layer contact that imparts the excellent tribological *** of the oxide layer in one of the contact bodies can lead to high and unstable friction and increased wear from both contacting *** tribological performance of the three contact pairs and the failure mechanism of the oxide layer are discussed in the *** results of this work suggest that the TO treated Ti on TO treated Ti contact pair would have potential t

关键词： Titanium Thermal oxidation Self-mating Friction Wear Dry sliding

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Extreme Ultraviolet Scatterometry for Characterizing Nanometer Scale Features in a Damascene Sample

Extreme Ultraviolet Scatterometry for Characterizing Nanomet...

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2024 Frontiers in Optics, FiO 2024

作者： Klein, C. Jenkins, N. Shao, Y. Li, Y. Park, S. Kim, W. Kapteyn, H. Murnane, M. Department of Physics JILA STROBE NSF Science & Technology Center University of Colorado NIST BoulderCO United States Core Technology R&D Team Mechatronics Research Samsung Electronics Co. Ltd. Hwasung Korea Republic of Advanced Process Development Team 4 Semiconductor R&D Center Samsung Electronics Co. Ltd. Hwasung Korea Republic of Kapteyn-Murnane Laboratories Inc. 4775 Walnut Street #102 BoulderCO80301 United States

We characterize nanoscale out-of-plane features on an industrially relevant semiconductor sample using a coherent extreme ultraviolet high harmonic generation source at 29nm. The advantages of using 13.5nm light are a... 详细信息

关键词： Extreme ultraviolet lithography

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