Human Factors and Ergonomics in Manufacturing & Service Industries最新文献

Taxonomy of performance shaping factors in manufacturing: A systematic literature review 制造业绩效塑造因素分类法：系统文献综述

IF 2.2 3区工程技术

Human Factors and Ergonomics in Manufacturing & Service Industries Pub Date : 2024-05-13 DOI: 10.1002/hfm.21036

Prameet Ranjan Jha, Valentina Di Pasquale, Jason J. Saleem, Xiaomei Wang

{"title":"Taxonomy of performance shaping factors in manufacturing: A systematic literature review","authors":"Prameet Ranjan Jha, Valentina Di Pasquale, Jason J. Saleem, Xiaomei Wang","doi":"10.1002/hfm.21036","DOIUrl":"10.1002/hfm.21036","url":null,"abstract":"Human error in manufacturing can have substantial consequences, including loss of life, injuries, productivity, and financial losses. Human reliability analysis (HRA) methods can be used to evaluate the likelihood of human error in manufacturing tasks and identify potential sources of error. Performance shaping factors (PSFs) are internal and external factors that influence human performance and can affect the likelihood of human reliability estimates in HRA methods. Understanding the impact of PSFs on human performance in manufacturing is essential for developing effective strategies to minimize the likelihood of human error and improve the safety and efficiency of manufacturing processes. This systematic review scrutinizes the literature on PSFs within manufacturing, highlighting HRA applications. Using the PRISMA protocol, studies from 2000 to 2024 across engineering and psychology were examined, culminating in the analysis of 35 pertinent works. The review identifies and contrasts various PSF taxonomies from established HRA methods like SPAR-H, HEART, CREAM, and THERP, revealing their diverse applications in different manufacturing settings. The review also uncovers a tendency to devise taxonomies through the lens of experts' domain knowledge, particularly tailored to discrete manufacturing contexts. A critical gap is observed in the lack of a uniform PSF framework, with the current literature reflecting a disparate understanding of PSFs' roles, definitions, and interrelations. This absence is further pronounced by the inadequate integration of human factors in the dialogue surrounding Industry 4.0. The analysis points to the necessity of harmonizing PSFs to better assess human reliability amid technological integration. The findings emphasize the need for an industry-specific PSF framework that aligns with the intricacies of manufacturing operations, thus enabling more accurate HRA outcomes and informing strategies for error reduction and process optimization.","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140985511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Beyond blame: A systemic accident analysis through a neutralized human factors taxonomy 超越指责：通过中和人为因素分类法进行系统事故分析

IF 2.2 3区工程技术

Human Factors and Ergonomics in Manufacturing & Service Industries Pub Date : 2024-04-19 DOI: 10.1002/hfm.21035

Elena Stefana, Emanuele De Paola, Carlo Simone Snaiderbaur Bono, Francesco Bianchini, Tommaso Vagheggi, Riccardo Patriarca

{"title":"Beyond blame: A systemic accident analysis through a neutralized human factors taxonomy","authors":"Elena Stefana, Emanuele De Paola, Carlo Simone Snaiderbaur Bono, Francesco Bianchini, Tommaso Vagheggi, Riccardo Patriarca","doi":"10.1002/hfm.21035","DOIUrl":"10.1002/hfm.21035","url":null,"abstract":"This paper investigates the usage of a systemic neutralized taxonomy for understanding human factors to foster a restorative culture when studying adverse events. The available studies supporting accident analysis from a system-theoretic perspective with human factors-based methods are grounded on error taxonomies and do not reinforce the non-judgemental dimension that is encouraged by modern safety science. We propose a methodology to integrate the system-theoretic accident analysis technique, Causal Analysis based on System Theory, with a neutralized taxonomy of human explanatory factors. The proposed methodology has been applied to an aviation accident involving a military aircraft and a glider. This case revealed various critical interactions among system components, which require dedicated safety recommendations that go beyond the identification of single points of failures and root causes, leading to a deeper understanding of socio-technical orchestrations. Despite the use case in aviation, the proposed methodology remains suitable for various types of safety occurrences in diverse domains and industrial settings. It also represents the basis for supporting future proactive safety-related decision-making processes.","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140685223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Converting laundry work of women in underdeveloped countries from risk of musculoskeletal disorders to a sustainable intervention: A design with holistic approach 将不发达国家妇女的洗衣工作从肌肉骨骼疾病风险转变为可持续的干预措施：整体方法设计

IF 2.2 3区工程技术

Human Factors and Ergonomics in Manufacturing & Service Industries Pub Date : 2024-03-21 DOI: 10.1002/hfm.21034

Banu Ç. Avcıoğlu, Hüdayim Başak

{"title":"Converting laundry work of women in underdeveloped countries from risk of musculoskeletal disorders to a sustainable intervention: A design with holistic approach","authors":"Banu Ç. Avcıoğlu, Hüdayim Başak","doi":"10.1002/hfm.21034","DOIUrl":"10.1002/hfm.21034","url":null,"abstract":"More than half of the population in impoverished areas around the world, which lack sufficient energy and water, do not have washing machines. Due to a lack of resources and economic reasons, the mechanical task of modern washing machines requiring electrical energy can only be done through hand washing. Additionally, water fetching and laundry work are predominately assigned to women due to socio-cultural dynamics in disadvantaged areas. The repetitive motions involved in washing over extended periods of time, coupled with awkward body positions, often lead to musculoskeletal disorders in women. This study aims to improve women's work safety and living conditions through a product design for laundry washing. First, the ergonomic risk associated with women's body postures while washing clothes on the floor was evaluated to better understand the impact of the intervention and rapid upper extremity assessment (RULA) method was used for this purpose. Subsequently, the design process for a manual washing product, which operates without electricity, can handle bulk laundry and facilitates easier and more ergonomic work instead of directly scrubbing clothes, was initiated as a remedial intervention. Recognizing that laundry work is a multidimensional experience in women's lives beyond its ergonomic aspects, a holistic design methodology was adopted, incorporating various design approaches to create concepts that better integrate with the lives of woman users. Insights gained from these design approaches were then combined with the conceptual design method to generate design proposals. At the end of the study, the developed manual washing machine design performed improved RULA analysis scores and biomechanical loading outcomes compared to hand washing.","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140223473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

The profession of occupational health and safety technician: Does gender matter? 职业健康与安全技术员的职业：性别是否重要？

IF 2.2 3区工程技术

Human Factors and Ergonomics in Manufacturing & Service Industries Pub Date : 2024-03-18 DOI: 10.1002/hfm.21033

Gaizka Insunza, Aitor Basañez, Jon Iradi, Juan Carlos Aldasoro, Maria Luisa Cantonnet

{"title":"The profession of occupational health and safety technician: Does gender matter?","authors":"Gaizka Insunza, Aitor Basañez, Jon Iradi, Juan Carlos Aldasoro, Maria Luisa Cantonnet","doi":"10.1002/hfm.21033","DOIUrl":"10.1002/hfm.21033","url":null,"abstract":"Workers' health and safety, and equality between men and women are two of the main challenges currently facing the labor framework in Spain. Despite the fact that the different risks faced by men and women have been widely studied, the way in which gender can affect the working conditions and career development of occupational health and safety (OHS) technicians has hardly been investigated. To delve into this aspect, a study has been carried out by conducting semistructured interviews with six women who work as OHS technicians and a survey among OHS technicians in the Basque Country (Spain) with 124 responses. The results suggest that there are differences between men and women both in the conditions and in the career development of the OHS technician profession. These differences appear in various thematic blocks such as empowerment, recognition, or aspirations. Women tend to be more skeptical than men on gender equality issues such as the idea of equal promotion opportunities for men and women, or the notion that men's and women's ideas are equally valued, or the way in which having children affects men and women's aspirations. It is very important to reduce these gender differences to achieve a more efficient work environment, which can lead to more efficient OHS management.","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hfm.21033","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140234887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

The benefits and costs of explainable artificial intelligence in visual quality control: Evidence from fault detection performance and eye movements 可解释人工智能在视觉质量控制中的收益和成本：故障检测性能和眼球运动的证据

IF 2.2 3区工程技术

Human Factors and Ergonomics in Manufacturing & Service Industries Pub Date : 2024-02-28 DOI: 10.1002/hfm.21032

Romy Müller, David F. Reindel, Yannick D. Stadtfeld

{"title":"The benefits and costs of explainable artificial intelligence in visual quality control: Evidence from fault detection performance and eye movements","authors":"Romy Müller, David F. Reindel, Yannick D. Stadtfeld","doi":"10.1002/hfm.21032","DOIUrl":"https://doi.org/10.1002/hfm.21032","url":null,"abstract":"Visual inspection tasks often require humans to cooperate with artificial intelligence (AI)-based image classifiers. To enhance this cooperation, explainable artificial intelligence (XAI) can highlight those image areas that have contributed to an AI decision. However, the literature on visual cueing suggests that such XAI support might come with costs of its own. To better understand how the benefits and cost of XAI depend on the accuracy of AI classifications and XAI highlights, we conducted two experiments that simulated visual quality control in a chocolate factory. Participants had to decide whether chocolate molds contained faulty bars or not, and were always informed whether the AI had classified the mold as faulty or not. In half of the experiment, they saw additional XAI highlights that justified this classification. While XAI speeded up performance, its effects on error rates were highly dependent on (X)AI accuracy. XAI benefits were observed when the system correctly detected and highlighted the fault, but XAI costs were evident for misplaced highlights that marked an intact area while the actual fault was located elsewhere. Eye movement analyses indicated that participants spent less time searching the rest of the mold and thus looked at the fault less often. However, we also observed large interindividual differences. Taken together, the results suggest that despite its potentials, XAI can discourage people from investing effort into their own information analysis.","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hfm.21032","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141968228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

The effect of relaxing music on driving anger and performance in a simulated car-following task 轻松音乐对驾驶愤怒和模拟跟车任务表现的影响

IF 2.2 3区工程技术

Human Factors and Ergonomics in Manufacturing & Service Industries Pub Date : 2024-02-23 DOI: 10.1002/hfm.21031

Qian Zhang, Yan Ge, Weina Qu

引用次数: 0

A dynamic system-based model for analyzing human factors: Enhanced AcciMap with spherical fuzzy dynamic Bayesian network approach 基于动态系统的人为因素分析模型：采用球形模糊动态贝叶斯网络方法的增强型 AcciMap

IF 2.4 3区工程技术

Human Factors and Ergonomics in Manufacturing & Service Industries Pub Date : 2024-02-21 DOI: 10.1002/hfm.21029

Kosar Tohidizadeh, Esmaeil Zarei, Mehran Ghalenoei, Mohammad Yazdi, Kamran Kolivand

{"title":"A dynamic system-based model for analyzing human factors: Enhanced AcciMap with spherical fuzzy dynamic Bayesian network approach","authors":"Kosar Tohidizadeh, Esmaeil Zarei, Mehran Ghalenoei, Mohammad Yazdi, Kamran Kolivand","doi":"10.1002/hfm.21029","DOIUrl":"10.1002/hfm.21029","url":null,"abstract":"In today's interconnected global economy, maritime trade is a pillar of prosperity, yet maritime accidents loom as a formidable challenge. The intricate nature of these accidents, coupled with rapid technological advancements, necessitates the evolution of systematic analysis methods. Conventional systemic approaches, while valuable, struggle to encapsulate the intricate web of mutual and dynamic dependencies inherent in these incidents. Furthermore, the call for more quantitative support in decision-making and the ability to account for emergent factors has become increasingly imperative. This study aims to analyze maritime accidents by introducing a quantitative and dynamic model. The endeavour begins with establishing an extended Accident Map-based model, a robust framework that unveils a sophisticated accident causation model. This preliminary action establishes the groundwork for integrating an innovative Spherical Fuzzy Set, navigating the complex landscape of knowledge acquisition. The subsequent phase charts a transformative course by mapping the model onto a dynamic Bayesian Network to conduct a forward and backward analysis. The essence of the model lies in its dynamic nature, allowing for real-time updates that reflect the evolving maritime accidents risk factors. The approach is validated through a partial benchmark exercise, a reality check, an independent peer review, and a sensitivity analysis. The model can explore emerging contributing factors, reduce uncertainty, and consider relationships between factors that yield designing more effective safety measures.","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140444518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

The effect of in-vehicle agent embodiment on drivers' perceived usability and cognitive workload: Evidence from subjective reporting, ECG, and fNIRS 车载代理体现对驾驶员感知可用性和认知工作量的影响：来自主观报告、心电图和 fNIRS 的证据

IF 2.4 3区工程技术

Human Factors and Ergonomics in Manufacturing & Service Industries Pub Date : 2024-02-20 DOI: 10.1002/hfm.21030

Zenggen Ren, Fu Guo, Mingming Li, Wei Lyu, Vincent G. Duffy

{"title":"The effect of in-vehicle agent embodiment on drivers' perceived usability and cognitive workload: Evidence from subjective reporting, ECG, and fNIRS","authors":"Zenggen Ren, Fu Guo, Mingming Li, Wei Lyu, Vincent G. Duffy","doi":"10.1002/hfm.21030","DOIUrl":"10.1002/hfm.21030","url":null,"abstract":"To improve the interaction between drivers and the in-vehicle information system (IVIS), various intelligent agents, such as robot agents, virtual agents, and voice-only agents, have been integrated into vehicles. However, it is not yet clear which type of in-vehicle agent is best suited to the driving context. This study aims to investigate the effect of in-vehicle agent embodiment on drivers' perceived usability and cognitive workload. In a within-subject simulated driving experiment, 22 participants interacted with three different in-vehicle agents (smartphone agent, robot agent, and virtual agent). Functional near-infrared spectroscopy and electrocardiogram (ECG) were used to record prefrontal cortex activation and electrical changes associated with cardiac activity during simulated driving, respectively. The results show that the smartphone agent had the lowest perceived usability scores, oxygenated hemoglobin concentration variation (ΔHbO), and maximum ECG signal variation compared to baseline. There were no statistical differences in cognitive workload, perceived usability scores, brain area activation, and ECG signals between the robot agent and the virtual agent. The research findings demonstrate the positive effects of the anthropomorphic appearance of in-vehicle agents on perceived usability and contribute to improving the design of in-vehicle intelligent agents.","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140448675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 factors analysis of coal mine gas accidents based on improved HFACS model 基于改进的 HFACS 模型的煤矿瓦斯事故人为因素分析

IF 2.4 3区工程技术

Human Factors and Ergonomics in Manufacturing & Service Industries Pub Date : 2024-02-14 DOI: 10.1002/hfm.21028

Mengjiao Zhang, Hongxia Li, Heqiong Xia, Qian Zhang, Yanlin Chen, Yuchen Liu, Haoran Xu

{"title":"Human factors analysis of coal mine gas accidents based on improved HFACS model","authors":"Mengjiao Zhang, Hongxia Li, Heqiong Xia, Qian Zhang, Yanlin Chen, Yuchen Liu, Haoran Xu","doi":"10.1002/hfm.21028","DOIUrl":"10.1002/hfm.21028","url":null,"abstract":"Gas accidents represent a crucial domain of coal mine safety research, as they result in substantial property damage, environmental pollution, and even loss of life compared to other types of accidents. Particularly, human factors play a significant role in the majority of mining accidents. The objective of this paper is to enhance the quality of coal mine safety management, minimize the occurrence of adverse human factors in gas accidents, and analyze the factors influencing coal mine gas accidents using the Human Factors Analysis and Classification System (HFACS). To commence, this paper has devised a human factor influence index system based on the enhanced HFACS for coal mine gas accidents. Subsequently, the Decision-making Trial and Evaluation Laboratory (DEMATEL) method has been employed to quantitatively delineate the causal relationships among these factors. Lastly, this paper utilized the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) comprehensive evaluation method to evaluate the importance of factors influencing coal mine gas accidents. The research findings indicate that through the utilization of the DEMATEL methodology for centrality and causal relationship calculations, the centrality and causality values associated with poor organizational management emerge as the foremost among all factors. This underscores the pivotal role that poor organizational management plays in the human factors influencing coal mine gas accidents. Furthermore, a meticulous examination using TOPSIS identified the top five indicators of influence capability: cognitive errors > habitual violations > operational management > management process > resource management. The analysis of human factors in coal mine gas accidents can provide enhanced theoretical support for the management of production safety in coal mines, as well as the prevention of gas accidents.","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139839276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Characterization and classification of EEG signals evoked by different CAD models 不同 CAD 模型诱发的脑电信号的特征和分类

IF 2.4 3区工程技术

Human Factors and Ergonomics in Manufacturing & Service Industries Pub Date : 2024-02-13 DOI: 10.1002/hfm.21027

Hongwei Niu, Jia Hao, Zhiyuan Ming, Xiaonan Yang, Lu Wang

{"title":"Characterization and classification of EEG signals evoked by different CAD models","authors":"Hongwei Niu, Jia Hao, Zhiyuan Ming, Xiaonan Yang, Lu Wang","doi":"10.1002/hfm.21027","DOIUrl":"10.1002/hfm.21027","url":null,"abstract":"The past two decades have witnessed dramatic advancement in computer-aided design (CAD). However, development of human–computer interfaces (HCI) for CAD have not kept up with these advances. Windows, Icons, Menus, Pointer (WIMP) is still the mainly used interface for CAD applications which limits the naturalness and intuitiveness of the CAD modeling process. As a novel interface, Brain–computer interfaces (BCIs) have great potential in the application of CAD modeling. Utilizing BCIs, the user can create CAD models just by thinking about it in principle, because BCIs provide an end-to-end interaction channel between users and CAD models. However, current related studies are mainly limited to the existing BCIs paradigms, while ignoring the relationship between electroencephalogram (EEG) signals and CAD models, which largely increases the cognitive load on the users. In this study, we aimed to explore the potential of using BCI to create CAD models directly independent of the classical BCIs paradigms. For this purpose, EEG signals evoked by six basic CAD models (i.e., point, square, trapezoid, line, triangle, and circle) were collected from 28 participants. After preprocessing and sub-trial principal components analysis (st-PCA) of recorded data, the peak, mean and time-frequency energy features were extracted from EEG signals. By applying the one-way repeated measures analysis of variance, we demonstrated that there were significant differences among these EEG features evoked by different CAD models. These features from EEG electrode channels ranked by mutual information were then used to train a discriminant classifier of genetic algorithm-based support vector machine. The empirical result showed that this classifier can discriminate the CAD models with an average accuracy of about 72%, which turns out that EEG based model generation is feasible, and provides the technical and theoretical basis for building a novel BCI for CAD modeling.","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139840286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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