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11th international conference on design, User Experience, and Usability (DUXU) Held as Part of the 24th international conference on Human-computer Interaction (HCII)

作者： Chen, Wanyu Wang, Haining Hunan Univ Sch Design Changsha 410082 Peoples R China

ISBN: (纸本)9783031058974;9783031058967

As one of the unique cultural products and representative symbols of China, Yixing teapots have a unique aesthetic connotation. the cultural and creative products of Yixing teapot have played a positive role in the inheritance of intangible cultural heritage, however, they still face higher requirements in terms of design innovation and adaptation to users' aesthetic needs. Although several methods of evaluating and measuring user experience have been established, such as subjective reporting and questionnaire surveys, designers still need objective methods to evaluate users' perception and response for Yixing teapots modeling. this paper aims to combine virtual reality and eye tracking technology to recognize users' aesthetic preference for the 3D modeling of Yixing teapots. Eye tracking signals were recorded in a preference categorization task, and users' aesthetic preference was analyzed via eye tracking data and users' subjective evaluation. the results showed that the fixation count and time of first fixation in different AOIs had significant effects on users' subjective evaluation. the study provides an objective method in recognizing users' aesthetic preference, and can provide practical reference for the future modeling design of Yixing teapots.

关键词： User's aesthetic preference Product modeling Virtual reality Eye tracking Yixing teapots

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Research and design of Dual-Excitation Nine-Electrode Conductivity Sensor 11

Research and Design of Dual-Excitation Nine-Electrode Conduc...

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11th IEEE international conference on computer Science and Network Technology, ICCSNT 2023

作者： Zhao, Wenguang Zhang, Hongquan Zhang, Jian Zhang, Lidong Zhou, Shiyi Zhou, Hang College of Intelligent Systems Science and Engineering Harbin Engineering University Harbin China Nanhai Institute of Harbin Engineering University Harbin Engineering University Sanya China

ISBN: (纸本)9798350311594

In order to solve the problem of polarization effect and electrode corrosion in electrode conductivity sensor, a dual-excitation type nine-electrode conductivity sensor is optimized and designed by analyzing the equivalent measurement physical model of electrode conductivity sensor, establishing a theoretical calculation model of conductivity and output voltage, and supplemented by finite element analysis. the structure of the nine-electrode conductivity sensor was designed, and the corresponding calibration and test tests were carried out. the test results show that the nine-electrode conductivity sensor has excellent performance in eliminating polarization effect and reducing proximity effect, and the accuracy can reach ±0.001ms/cm. the measuring range is wide, and the measurement range is between 20mS/cm∼60mS/cm, which verifies the rationality of the structure. this structure can effectively improve the measurement accuracy and expand the measurement range, providing a new solution for researchers to measure the conductivity of seawater with high precision. © 2023 IEEE.

关键词： Electrodes

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Effects of Adopting Industry 4.0 on a Manufacturing Plant 11

Effects of Adopting Industry 4.0 on a Manufacturing Plant

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11th international conference on Reliability, Infocom Technologies and Optimization, ICRITO 2024

作者： Waghanna, Pranav Reddy, Akash Deshpande, Sarthak Chavan, Siddhant Jaiswal, Vishal R. Naranje, Vishal Be It Department of Pune Institute of Computer Technology Pune India It Department of Pune Institute of Computer Technology Pune India School of Engineering Architecture and Interior Design Amity University Dubai United Arab Emirates

ISBN: (纸本)9798350350357

In the era of Industry 4.0, Smart Manufacturing is reshaping how things are made. At the heart of it is the Industrial Internet of things (IIoT), where smart sensors and connections create a digital system for factories. this paper highlights how IIoT facilitates real-time data exchange, aiding quick decision-making and creating adaptable manufacturing setups. Cyber-Physical Systems (CPS) integration is also discussed, showing how the line between physical and digital elements in manufacturing is getting blurred. Big Data Analytics is another game-changer, supporting data-driven decisions and predictive maintenance. the paper also digs into Artificial Intelligence and Machine Learning, showing how they automate tasks and continuously learn, improving manufacturing processes. Real-world applications are examined, including Digital Twins, advanced robotics like collaborative robots (Cobots), 3D printing, and smart supply chain management. While Smart Manufacturing offers numerous benefits, it's not without challenges. the survey talks about security and privacy concerns, emphasizing the need for strong cybersecurity. Interoperability, ensuring different technologies work seamlessly together, and addressing the workforce skills gap are also explored. the paper ends with examples of successful implementations and looks at future trends, such as the impact of 5G, blockchain in supply chain management, human augmentation, and the push for sustainability in Smart Manufacturing. this survey is a practical guide for anyone interested in understanding the current state and where Smart Manufacturing is headed in the world of Industry 4.0. © 2024 IEEE.

关键词： Cyber Physical System

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the Tire Sidewall Key Information Region Detection Algorithm based on the Improvement of YOLOv5 24

The Tire Sidewall Key Information Region Detection Algorithm...

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7th international conference on Image and graphics Processing, ICIGP 2024

作者： Li, Mengyang Yan, Nan School of Computer and Information Anhui Polytechnic University China School of Computer and Information Anhui Polytechnic University Anhui Institute of Future Technology China

ISBN: (纸本)9798400716720

the recognition of tire sidewall text refers to the technology that automatically detects and extracts textual information on tire sidewalls in dark background. this article explores the importance of tire sidewall text recognition and proposes a lightweight network for detecting key imprint text regions based on You Only Look Once v5 (YOLOv5). To enhance detection accuracy whilst minimizing parameter and computational complexity, this article replaces the backbone network of YOLOv5 with the EMO network and introduces the C3Faster module proposed in this article to replace the original C3 module in YOLOv5's Neck network, because convolution operations in the C3 module introduce a lot of computation. this accelerates inference while mitigating parameters and computational complexity. Additionally, the number of detection heads is changed to provide more suitable scale outputs on the dataset. Experimental results demonstrate that the refined algorithm yields a 12.1% enhancement in accuracy when compared to YOLOv5s. © 2024 ACM.

关键词： Object detection

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Cooperative and Dynamic UAV-Based Mobile Sink Deployment using Deep Reinforcement Learning 11

Cooperative and Dynamic UAV-Based Mobile Sink Deployment usi...

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11th international conference on Advanced Cloud and Big Data, CBD 2023

作者： Shao, Mingyue Luo, Hanjiang Ruby, Rukhsana Dong, Pengyan Tao, Hang Shandong University of Science and Technology College of Computer Science and Engineering Qingdao China Shenzhen University College of Computer Science and Software Engineering Shenzhen China

ISBN: (纸本)9798350345346

In maritime emergency response operations, autonomous underwater vehicles (AUVs) can perform underwater search and transmit emergency data in real-time. To collect the sensed data from AUVs across the water-air interface, the traditional method is to deploy surface relays. However, the deployment of surface relays has some disadvantages, such as poor and imbalanced communication coverage of real-time connections with AUVs. Since the deployment of static relays may limit the dynamic search area of AUVs, whereas the deployment of free surface drifting relays may disrupt the connections while the relays are drifting away with the ocean current. To address these challenges, in this paper, we propose a novel method by leveraging the flexibility of multiple unmanned aerial vehicles (UAVs) equipped with underwater hydrophones and design a dynamic deployment scheme based on a multi-agent deep deterministic policy gradient (MADDPG) approach. By this scheme, multiple UAVs are able to deploy in a cooperative manner to deal with the coverage imbalance issue and provide maximum coverage service. the numerical simulations demonstrate that the proposed scheme is effective in terms of communication coverage, fairness, and energy consumption. © 2023 IEEE.

关键词： Autonomous underwater vehicles

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design of Saturated Core Fault Current Limiter for Integration of Electrical Power Supply 11

Design of Saturated Core Fault Current Limiter for Integrati...

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11th international conference on Electrical Engineering, computer Science and Informatics, EECSI 2024

作者： Ruliyanta, Ruliyanta Ramadhani, Fajar Nur Keraf, Adhyartha Universitas Nasional Department of Electrical Engineering Jakarta Indonesia

ISBN: (纸本)9798350355314

there was an issue with the PLN and Genset synchronization system in the XYZ Factory electrical power system. the two power sources could not be safely synchronized because the short circuit current value on the main bus during the power PLN and Genset electrical power synchronization exceeded the main bus's short circuit current capacity. this research solves the problems that occur by installing a limiting reactor. the approach method is carried out with the help of ETAP 19.0.1 software as a model of the factory electrical power system. this research begins by analyzing the value of the short circuit current on the main bus when the two power sources are synchronized, then looking for the reactance value of the short circuit current limiting reactor. Short circuit current limiting reactors can reduce short circuit current values with 3-phase fault types from 77.034 kA to 55.898 kA, Line to Ground fault types from 80.268 kA to 41.798 kA, Line to Line fault types from 67.326 kA to 48.41 kA, and Double Line to Ground fault type from 79.121 kA to 54.009 kA. © 2024 IEEE.

关键词： Short circuit currents

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Research on Visual design of Industrial Product Based on Deep Learning Algorithm 11th

Research on Visual Design of Industrial Product Based on Dee...

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11th international conference on Applications and Techniques in Cyber Intelligence, ATCI 2023

作者： Li, Chen Anhui Polytechnic University Wuhu China

In the context of the upgrading of China's manufacturing industry, the design of industrial products is particularly important. Deep learning can be involved in automotive design activities through a variety of functions. We can use deep learning technology to design the appearance of cars through steps such as establishing a database, extracting feature values, drawing three-dimensional curves, unifying model dimensions, and analyzing errors. In this paper, the appropriate deep learning algorithm is selected through experiments to build a car image generation model based on StyleGAN2. the car image is generated by StyleGAN2 to achieve the purpose of designing car styling, and the full label database and the generation model are combined to form a car styling design tool based on deep learning, and the usability of the tool is tested through actual use. the new tool uses StyleGAN2 to generate car images for the purpose of designing car styling. the conclusion is that the function of artificial intelligence assisting designers to design automobile styling can be realized, which provides a new path for the styling research and development of other products. © 2024 the Authors. Published by Elsevier B.V.

关键词： deep learning industrial product design visual design

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Predictive Maintenance by Machine Learning Methods 11

Predictive Maintenance by Machine Learning Methods

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11th IEEE international conference on Intelligent Computing and Information Systems, ICICIS 2023

作者： Amer, Sara Mohamed, Hoda K. Badr Monir Mansour, Marvy Ain Shams University Department of Computer and Systems Engineering Cairo Egypt British University in Egypt Department of Electrical Engineering Cairo Egypt

ISBN: (纸本)9798350322101

Predictive maintenance techniques are designed to determine the state of equipment in action to help us know when we can intervene to perform maintenance on it. Predictive maintenance design applies artificial intelligence techniques such as machine learning to analyze data and monitor efficiency. In this paper, we predict the maintenance of any equipment before it stops to reduce unplanned equipment maintenance by means of machine learning algorithms. We adopted in our work the following supervised machine learning algorithms: Random Forest, Support Vector Machine, KNN, Decision Tree, Logistic Regression, Naïve Bayes, and XGBOOST. Simulations and results show that the Random Forest and XGBOOST have almost the same performance. the XGBOOST machine learning algorithm is preferred for bigger datasets compared to Random Forest and it works more effectively in the case of small datasets. Finally, the proposed predictive maintenance system is successful in identifying possible failure indicators and reducing some production stoppages as shown by our simulation results. © 2023 IEEE.

关键词： Decision trees

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From evidence to assessment: Developing a scenario-based computational design algorithm to support informed decision-making in primary care clinic design workflow

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international JOURNAL OF ARCHITECTURAL COMPUTING 2022年第3期20卷 567-586页

作者： Rastegar, Raha M. Saghafi Moghaddam, Sara Haghnazar, Ramtin Zimring, Craig Georgia Inst Technol North Ave NW Atlanta GA 30332 USA Virginia Polytech Inst & State Univ Blacksburg VA 24061 USA Univ Tehran Tehran Iran

this paper describes a method to tailor computational design algorithms to evaluate human-centric outputs in architectural projects by presenting a case study that evaluates teamwork affordance for primary care clinics. We argue that computational design assessment techniques fall short of evaluating those human experiences that stem from multiple interactions between individuals and the surrounding environment. this research suggests that future computational design algorithms could benefit from incorporating scenario-based methods developed in the field of evidence-based design, in which studies are concerned about improving qualitative goals. through this case study, we describe the process of prototyping a computational design algorithm based on the Functional Scenario Analysis approach, applying the algorithm to evaluate case studies, visualizing findings, and extracting design strategies based on the analysis results. this method offers a new vision of how computational design can benefit informed decision-making processes and generate design alternatives aligned with a project's design goals.

关键词： computer-aided architectural design evidence-based design methods informed decision-making user experience design design evaluation tools performance analysis

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Modeling and Simulation of Solar District Heating Systems 11

Modeling and Simulation of Solar District Heating Systems

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11th IEEE international conference on Communication Systems and Network Technologies, CSNT 2022

作者： Njong, Vera Akah Musti, K.S. Sastry Van Der Walt, Johannes P. Namibia University of Science and Technology Department of Mechanical and Marine Engineering Windhoek Namibia Namibia University of Science and Technology Department of Electrical and Computer Engineering Windhoek Namibia

ISBN: (纸本)9781665480383

District Heating Systems (DHS) typically collect, store and distribute the energy from a single and central location to the consumers through a pipeline network. Solar DHS (SDHS) is becoming popular, and a good number of such systems are now operating in around the world. SDHS are quite complex in nature and several challenges exist in modeling and simulation. this paper presents the design, modeling and simulation of an SDHS using a state-of-the-art software and then examines then provides a way forward for undertaking feasibility analysis. To validate the model, a community with 200 families with typical secondary data is considered. Results from feasibility analysis indicate that SDHS systems can be effective in energy and cost savings. © 2022 IEEE.

关键词： computer software

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