Advanced Engineering Informatics最新文献_第10页

A method for constructing an ergonomics evaluation indicator system for community aging services based on Kano-Delphi-CFA: A case study in China 基于Kano-Delphi-CFA的社区养老服务工效评价指标体系构建方法：中国案例研究

IF 8 1区工程技术

Advanced Engineering Informatics Pub Date : 2024-10-01 DOI: 10.1016/j.aei.2024.102842

Yixuan Liu , Jinchun Wu , Qianshu Fu , Haixia Feng , Jiao Liu , Yicheng Fang , Yafeng Niu , Chengqi Xue

{"title":"A method for constructing an ergonomics evaluation indicator system for community aging services based on Kano-Delphi-CFA: A case study in China","authors":"Yixuan Liu , Jinchun Wu , Qianshu Fu , Haixia Feng , Jiao Liu , Yicheng Fang , Yafeng Niu , Chengqi Xue","doi":"10.1016/j.aei.2024.102842","DOIUrl":"10.1016/j.aei.2024.102842","url":null,"abstract":"<div><div>To enhance the construction quality of community aging services, promote their standardization process, and improve the elderly’s experience, this study proposes a method that combines Kano model, Delphi method, and confirmatory factor analysis for constructing an ergonomics evaluation indicator system for aging services. By comparing the needs of elderly users and expert knowledge through the Kano model and Delphi method, key community aging service resource items are identified, leading to the construction of an ergonomics evaluation indicator system for community aging services. The relationships between indicators, factors, and common factors within the system are explored using confirmatory factor analysis to test the reliability of the indicator system. The results indicate that the community aging service ergonomics evaluation indicators can be summarized into nine factors: risk control in service process, reliability of service process, risk perception in service process, universal design of service, convenience of service process, effectiveness of service, inclusive design of service, load of service process, and comfort of service process. Additionally, these factors can be further distilled into three common factors: safety, efficiency, and well-being. The aging service ergonomics indicator system construction method proposed in this study contributes to the standardization of community aging services. It provides references and guidelines for the construction of aging services in communities.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"62 ","pages":"Article 102842"},"PeriodicalIF":8.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142359295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multiscale cost-sensitive learning-based assembly quality prediction approach under imbalanced data 不平衡数据下基于多尺度成本敏感学习的装配质量预测方法

IF 8 1区工程技术

Advanced Engineering Informatics Pub Date : 2024-10-01 DOI: 10.1016/j.aei.2024.102860

Tianyue Wang , Bingtao Hu , Yixiong Feng , Hao Gong , Ruirui Zhong , Chen Yang , Jianrong Tan

{"title":"Multiscale cost-sensitive learning-based assembly quality prediction approach under imbalanced data","authors":"Tianyue Wang , Bingtao Hu , Yixiong Feng , Hao Gong , Ruirui Zhong , Chen Yang , Jianrong Tan","doi":"10.1016/j.aei.2024.102860","DOIUrl":"10.1016/j.aei.2024.102860","url":null,"abstract":"<div><div>Assembly quality prediction of complex products is vital in modern smart manufacturing systems. In recent years, data-driven approaches have obtained various outstanding engineering achievements in quality prediction. However, the imbalanced quality label makes it difficult for conventional quality prediction methods to learn accurate decision boundaries, resulting in weak prediction capabilities. Moreover, the multiple working condition data information in the assembly system presents another challenge to quality prediction. To handle the above issues, a multiscale cost-sensitive learning-based assembly quality prediction approach is proposed in this paper. First, an improved Gaussian mixture model is developed to automatically partition the global multi-condition data into several diverse subspaces. Then, the local cost-sensitive learning models are employed to tackle imbalanced data in each subspace. Finally, by leveraging Bayesian inference, multiple local cost-sensitive learning models are integrated to obtain a global multiscale prediction model. To validate the effectiveness of the proposed method, the quality prediction comparative experiments are conducted on two real-world assembly systems. The favorable results demonstrate the superiority of the proposed method in assembly quality prediction.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"62 ","pages":"Article 102860"},"PeriodicalIF":8.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Welding defect detection based on phased array images and two-stage segmentation strategy 基于相控阵图像和两阶段分割策略的焊接缺陷检测

IF 8 1区工程技术

Advanced Engineering Informatics Pub Date : 2024-10-01 DOI: 10.1016/j.aei.2024.102879

Yan Chen , Deqiang He , Suiqiu He , Zhenzhen Jin , Jian Miao , Sheng Shan , Yanjun Chen

{"title":"Welding defect detection based on phased array images and two-stage segmentation strategy","authors":"Yan Chen , Deqiang He , Suiqiu He , Zhenzhen Jin , Jian Miao , Sheng Shan , Yanjun Chen","doi":"10.1016/j.aei.2024.102879","DOIUrl":"10.1016/j.aei.2024.102879","url":null,"abstract":"<div><div>The rail transit vehicle body is composed of numerous welded structures, and to prevent failures during operation, it is essential that each weld undergoes strict and accurate quality inspection. Integrating segmentation algorithms with phased array ultrasonic testing (PAUT) offers a novel solution for the quality inspection of train welds. However, due to the high sensitivity of the phased array method in detecting weld defects, erroneous signals may be generated in non-welding areas, interfering with the judgment of deep learning algorithms and leading to incorrect detection results. To address the issue of existing algorithms being unable to completely eliminate false signals, this paper proposes a welding defect segmentation network with regional determination capabilities, which leverages both the defects and valid regions in phased array welding images. The concept of the proposed region determination performance is founded on establishing region-type rules for the defect detection task. Specifically, it involves the design of a two-stage network to assist in formulating the rules, along with a determination module to refine them. To assess the rationality and effectiveness of the proposed method, various parameters and modules of the model undergo extensive testing. The experimental results demonstrate that by splitting the defects and the valid regions in phased array welding images, reasonable and necessary determination rules can be constructed. This approach leads to more efficient and accurate weld defect segmentation.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"62 ","pages":"Article 102879"},"PeriodicalIF":8.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Human-in-the-loop optimization for vehicle body lightweight design 车身轻量化设计的人在环优化

IF 8 1区工程技术

Advanced Engineering Informatics Pub Date : 2024-10-01 DOI: 10.1016/j.aei.2024.102887

Jia Hao , Ruofan Deng , Liangyue Jia , Zuoxuan Li , Reza Alizadeh , Leili Soltanisehat , Bingyi Liu , Zhibin Sun , Yiping Shao

{"title":"Human-in-the-loop optimization for vehicle body lightweight design","authors":"Jia Hao , Ruofan Deng , Liangyue Jia , Zuoxuan Li , Reza Alizadeh , Leili Soltanisehat , Bingyi Liu , Zhibin Sun , Yiping Shao","doi":"10.1016/j.aei.2024.102887","DOIUrl":"10.1016/j.aei.2024.102887","url":null,"abstract":"<div><div>Automatic optimization algorithms are crucial for vehicle body lightweight design; however, existing methods remain inefficient leading to excessive iterations that increase both time and costs. Current interactive optimization strategies partially mitigate this issue but lack a broad range of manipulation points and auxiliary information models. As such, we introduce a novel approach, “Human-in-the-Loop based method for Vehicle Body Lightweight Design” (HIL-VBLD). This method integrates human decision-making with optimization algorithms to reduce unproductive iterations. HIL-VBLD comprises two key components: (1) an innovative interaction mode that provides multiple manipulation points including constraint modification, algorithm switching, and selection of solutions of interest (SOI); (2) A comprehensive auxiliary information model that supports decision-making for designers. Our analysis demonstrates HIL-VBLD’s efficacy, showing a 54.5 % reduction in iteration cycles for genetic algorithm using SOI selection. Algorithm switching led to a 4.5 % mass reduction, mitigating local optimum pitfalls associated with gradient algorithms. Additionally, the auxiliary information model achieved a further 1.25 % mass reduction, enhancing optimization robustness. Compared to conventional automatic algorithm switching strategies, HIL-VBLD maintains equivalent accuracy with 23.9 % fewer iterations.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"62 ","pages":"Article 102887"},"PeriodicalIF":8.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Phase-based video vibration measurement and fault feature extraction method for compound faults of rolling bearings 针对滚动轴承复合故障的相位视频振动测量和故障特征提取方法

IF 8 1区工程技术

Advanced Engineering Informatics Pub Date : 2024-10-01 DOI: 10.1016/j.aei.2024.102897

Cong Li, Jun Zhou, Xing Wu, Tao Liu

{"title":"Phase-based video vibration measurement and fault feature extraction method for compound faults of rolling bearings","authors":"Cong Li, Jun Zhou, Xing Wu, Tao Liu","doi":"10.1016/j.aei.2024.102897","DOIUrl":"10.1016/j.aei.2024.102897","url":null,"abstract":"<div><div>Vibration characterization of rotating machinery is crucial for determining rotational and failure frequencies. Traditional contact measurement methods have limitations, while high-speed cameras offer a non-contact alternative for measuring target vibrations, spatial phase-based techniques have recently been widely used in detecting subtle vibrations and show good robustness to imaging noise. In this paper, a vision-based vibration extraction method for rotating machinery is proposed, aiming at extracting minor vibrations of bearings from them and further analyzing their fault frequencies. To address the challenge of separating a single fault frequency from the extracted compound faulty vibration signals, kurtosis is employed to analyze the inverse convolution period of multiple periodic components, and the MOMEDA filter length is optimized using the golden section algorithm. MOMEDA is then used to enhance each periodic pulse separately, and fault frequency is obtained through envelope spectrum demodulation. In the experimental part, a phase-based method is used to extract minor vibration displacements from rotor vibration video, which is subsequently compared with eddy current sensors in both time and frequency domains to verify the accuracy of the proposed method in extracting vibration displacements based on vision. Finally, vibration signals are extracted from the bearing compound fault video, and the single fault frequency characteristics of the bearing are successfully separated using the adaptive MOMEDA method, which provides an efficient and reliable method in the field of rotating machinery fault diagnosis.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"62 ","pages":"Article 102897"},"PeriodicalIF":8.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automated construction site layout design system for prefabricated buildings using transformer based conditional GAN 使用基于变压器的条件 GAN 自动设计预制建筑施工现场布局系统

IF 8 1区工程技术

Advanced Engineering Informatics Pub Date : 2024-10-01 DOI: 10.1016/j.aei.2024.102885

Yingnan Yang , Chunxiao Chen , Tao Li

{"title":"Automated construction site layout design system for prefabricated buildings using transformer based conditional GAN","authors":"Yingnan Yang , Chunxiao Chen , Tao Li","doi":"10.1016/j.aei.2024.102885","DOIUrl":"10.1016/j.aei.2024.102885","url":null,"abstract":"<div><div>Construction site layout plans (CSLP) are crucial for efficient prefabricated construction project management. Traditional manual design process is costly and time-consuming, while optimization methods heavily depend on expert knowledge. Recent advancements in deep generative models present promising alternatives. However, their application to the generation of prefabricated construction site layouts is hindered by several challenges, including limited datasets, significant overlap between facilities, and the necessity to generate layouts based on fixed facilities with specific attributes such as minimal transportation costs. These challenges constrain the efficacy and applicability of the generated layouts. To address these issues, this study introduces an innovative automated generative design system for prefabricated construction site layouts, leveraging a novel Transformer-based conditional generative adversarial network (GAN). The data preparation module of the system collects and augments layout data for training. The CSLGAN module is designed to generate layouts that conform to spatial constraints and desired attributes, with minimal facility overlap. Furthermore, this study establishes benchmarks in terms of model capacity and specialized performance metrics. Extensive experiments demonstrate the effectiveness of the proposed system in automated construction site layout generation.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"62 ","pages":"Article 102885"},"PeriodicalIF":8.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Customized obstacle detection system for High-Speed Railways: A novel approach toward intelligent rail transportation 高速铁路定制障碍物检测系统：实现智能轨道交通的新方法

IF 8 1区工程技术

Advanced Engineering Informatics Pub Date : 2024-10-01 DOI: 10.1016/j.aei.2024.102911

Leran Chen , Ping Ji , Yongsheng Ma , Yiming Rong , Jingzheng Ren

{"title":"Customized obstacle detection system for High-Speed Railways: A novel approach toward intelligent rail transportation","authors":"Leran Chen , Ping Ji , Yongsheng Ma , Yiming Rong , Jingzheng Ren","doi":"10.1016/j.aei.2024.102911","DOIUrl":"10.1016/j.aei.2024.102911","url":null,"abstract":"<div><div>With the rapid advancement of rail transportation technology, particularly in high-speed rail, efficient and accurate obstacle detection is a crucial research focus. Traditional methods often depend on extensive datasets and complex computations, necessitating high-performance GPUs, which escalate hardware costs and power consumption. Moreover, these approaches may struggle with real-time performance and robustness.</div><div>To address these challenges, we propose a novel approach termed the “Customized Obstacle Detection System (CODS)” for high-speed railways. CODS swiftly and precisely identifies non-track elements by analyzing discrepancies between real-time sensor data and a predefined background model of an obstacle-free track. The proposed system is composed of three main components: constructing a prototypical rail environment, analyzing discrepancies to detect obstacles, and implementing a self-supervised mapping update with distributed storage.</div><div>Experimental results demonstrate that CODS significantly enhances obstacle detection, achieving a 10% increase in detection mean average precision and a 75% improvement in detection speed under various railway conditions. This research offers a robust, efficient solution for obstacle detection, contributing to the development of intelligent rail transportation systems.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"62 ","pages":"Article 102911"},"PeriodicalIF":8.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An automated CAD-to-XR framework based on generative AI and Shrinkwrap modelling for a User-Centred design approach 基于生成式人工智能和 Shrinkwrap 建模的 CAD 到 XR 自动框架，用于以用户为中心的设计方法

IF 8 1区工程技术

Advanced Engineering Informatics Pub Date : 2024-09-27 DOI: 10.1016/j.aei.2024.102848

Riccardo Rosati , Paolo Senesi , Barbara Lonzi , Adriano Mancini , Marco Mandolini

{"title":"An automated CAD-to-XR framework based on generative AI and Shrinkwrap modelling for a User-Centred design approach","authors":"Riccardo Rosati , Paolo Senesi , Barbara Lonzi , Adriano Mancini , Marco Mandolini","doi":"10.1016/j.aei.2024.102848","DOIUrl":"10.1016/j.aei.2024.102848","url":null,"abstract":"<div><div>CAD-to-XR is the workflow to generate interactive Photorealistic Virtual Prototypes (iPVPs) for Extended Reality (XR) apps from Computer-Aided Design (CAD) models. This process entails modelling, texturing, and XR programming. In the literature, no automatic CAD-to-XR frameworks simultaneously manage CAD simplification and texturing. There are no examples of their adoption for User-Centered Design (UCD). Moreover, such CAD-to-XR workflows do not seize the potentialities of generative algorithms to produce synthetic images (textures). The paper presents a framework for implementing the CAD-to-XR workflow. The solution consists of a module for texture generation based on Generative Adversarial Networks (GANs). The generated texture is then managed by another module (based on Shrinkwrap modelling) to develop the iPVP by simplifying the 3D model and UV mapping the generated texture. The geometric and material data is integrated into a graphic engine, which allows for programming an interactive experience with the iPVP in XR. The CAD-to-XR framework was validated on two components (rifle stock and forend) of a sporting rifle. The solution can automate the texturing process of different product versions in shorter times (compared to a manual procedure). After each product revision, it avoids tedious and manual activities required to generate a new iPVP. The image quality metrics highlight that images are generated in a “realistic” manner (the perceived quality of generated textures is highly comparable to real images). The quality of the iPVPs, generated through the proposed framework and visualised by users through a mixed reality head-mounted display, is equivalent to traditionally designed prototypes.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"62 ","pages":"Article 102848"},"PeriodicalIF":8.0,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142324182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A generative-AI-based design methodology for car frontal forms design 基于生成式人工智能的汽车正面造型设计方法学

IF 8 1区工程技术

Advanced Engineering Informatics Pub Date : 2024-09-26 DOI: 10.1016/j.aei.2024.102835

Peng Lu , Shih-Wen Hsiao , Jian Tang , Fan Wu

{"title":"A generative-AI-based design methodology for car frontal forms design","authors":"Peng Lu , Shih-Wen Hsiao , Jian Tang , Fan Wu","doi":"10.1016/j.aei.2024.102835","DOIUrl":"10.1016/j.aei.2024.102835","url":null,"abstract":"<div><div>With the advancement of artificial intelligence, big data, and cloud computing, numerous generative AI applications have surfaced. In contrast to conventional generative design and computer-aided design tools, these applications significantly enhance design productivity. However, there are currently few design methodologies based on generative AIs in the academic community to improve the efficiency of industrial designers and optimize the design process. This study introduces a creative and practical methodology for designing car frontal forms based on generative AIs. In this methodology, imagery adjectives describing car frontal forms are generated by sending valid prompts to the text-generative AI application GPT-4.0. Then input typical imagery adjectives into the image-generative AI Midjourney successively as prompts to generate many car frontal forms that align with the typical imagery adjectives, forming a reference form database. Subsequently, a base form is selected, and target imageries are defined. Simultaneously, forms from the reference form database, conforming to the target imageries, are chosen as the reference forms. The main form elements of the base and reference forms are then delineated using cubic Bézier curves. Finally, a form curve blending algorithm is applied to obtain a set of alternatives, and the image-generative AI application Vega AI is utilized to convert the alternatives into three-dimensional renderings. FAHP-based expert evaluation and consumer perceptual evaluation are employed to validate the alternatives. Results indicate that the alternatives effectively capture the imageries of the reference forms. The proposed generative-AI-based design methodology enhances the efficiency of industrial designers, thereby minimizing human and material costs in product development. Additionally, this study presents a design case using various generative AIs to inspire designers to re-examine the traditional design process.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"62 ","pages":"Article 102835"},"PeriodicalIF":8.0,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142323563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AdvMOB: Interactive visual analytic system of billboard advertising exposure analysis based on urban digital twin technique AdvMOB：基于城市数字孪生技术的广告牌广告曝光分析交互式视觉分析系统

IF 8 1区工程技术

Advanced Engineering Informatics Pub Date : 2024-09-25 DOI: 10.1016/j.aei.2024.102829

Qing Yu , Defan Feng , Ge Li , Qi Chen , Haoran Zhang

{"title":"AdvMOB: Interactive visual analytic system of billboard advertising exposure analysis based on urban digital twin technique","authors":"Qing Yu , Defan Feng , Ge Li , Qi Chen , Haoran Zhang","doi":"10.1016/j.aei.2024.102829","DOIUrl":"10.1016/j.aei.2024.102829","url":null,"abstract":"<div><div>Digital outdoor billboards have emerged as powerful marketing tools for engaging consumers. However, the industry grapples with challenges, notably in accurately gauging exposure and understanding consumer demographics. Current ad placement models often overlook ad effectiveness and oversimplify advertising influence, resulting in a significant disparity between decision-making and real-world impact. To tackle these hurdles, this study introduces an innovative interactive visual analytic system, AdvMOB, designed to evaluate and scrutinize billboard exposure within urban landscapes and adeptly delineate the genuine reach of each advertisement. It integrates personal information and trajectory data to characterize the authentic impact of individual billboards. Through the fusion of urban architectural insights, and human mobility data, this system comprehensively evaluates, compares, and delves into the depth of billboard exposure in urban settings via an intuitive interface. The proposed AdvMOB system demonstrates substantial potential in revolutionizing the design of billboard advertisements by offering nuanced insights and comprehensive support.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"62 ","pages":"Article 102829"},"PeriodicalIF":8.0,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142318883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0