Pub Date : 2022-03-15DOI: 10.1080/10429247.2022.2030178
Ramy I. Hindiyeh, William K. Ocloo, Jennifer Cross
Abstract The ever-increasing demand for more complex products and services has led to an increased need for engineering teams. Despite this increase, available literature on engineering team performance factors is limited, and the trend in this research field is not clear. This Systematic Literature Review (SLR) aims at identifying research trends and gaps in engineering team performance. Three reputable research platforms were used. The SLR found that the most studied engineering team performance factor is the impact of skillset or knowledge of individual team members. The paper gives engineering managers insight into team management decision making and identifies several opportunities for future research.
{"title":"Systematic Review of Research Trends in Engineering Team Performance","authors":"Ramy I. Hindiyeh, William K. Ocloo, Jennifer Cross","doi":"10.1080/10429247.2022.2030178","DOIUrl":"https://doi.org/10.1080/10429247.2022.2030178","url":null,"abstract":"Abstract The ever-increasing demand for more complex products and services has led to an increased need for engineering teams. Despite this increase, available literature on engineering team performance factors is limited, and the trend in this research field is not clear. This Systematic Literature Review (SLR) aims at identifying research trends and gaps in engineering team performance. Three reputable research platforms were used. The SLR found that the most studied engineering team performance factor is the impact of skillset or knowledge of individual team members. The paper gives engineering managers insight into team management decision making and identifies several opportunities for future research.","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"35 1","pages":"4 - 28"},"PeriodicalIF":2.5,"publicationDate":"2022-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47365572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-03DOI: 10.1080/10429247.2022.2030180
Carrie Beam, E. Specking, G. Parnell, E. Pohl, Maria N. Goerger, J. P. Buchanan, George Gallarno
Abstract This paper identifies best practices for stakeholder engagement for Research & Development (R&D) organizations, describes findings, and makes recommendations. We identify 106 best practices for stakeholder engagement, which came from 19 sources, including corporate publications, governmental sources, standards organizations, and other similar organizations. We identify sources, review them for best practices, place the best practices into a database, group the best practices, and document our findings. We group these best practices into the seven separate objectives: 1) identify stakeholders, 2) diversify stakeholder relationships, 3) improve stakeholder communication, 4) increase all stakeholder engagement activity, especially strategic and customer stakeholder engagement activities, 5) manage stakeholder expectations, 6) increase stakeholder value and alignment, and 7) increase strategic stakeholder relationship strength. Two important best practice findings are that (a) stakeholder engagement should be a dynamic, ongoing process and (b) R&D organizations should systematically identify and prioritize strategic stakeholder engagements. We recommend that R&D organizations develop a decision support tool to identify and prioritize strategic stakeholder engagements, and then use this tool to develop and implement strategic engagement plans.
{"title":"Best Practices for Stakeholder Engagement for Government R&D Organizations","authors":"Carrie Beam, E. Specking, G. Parnell, E. Pohl, Maria N. Goerger, J. P. Buchanan, George Gallarno","doi":"10.1080/10429247.2022.2030180","DOIUrl":"https://doi.org/10.1080/10429247.2022.2030180","url":null,"abstract":"Abstract This paper identifies best practices for stakeholder engagement for Research & Development (R&D) organizations, describes findings, and makes recommendations. We identify 106 best practices for stakeholder engagement, which came from 19 sources, including corporate publications, governmental sources, standards organizations, and other similar organizations. We identify sources, review them for best practices, place the best practices into a database, group the best practices, and document our findings. We group these best practices into the seven separate objectives: 1) identify stakeholders, 2) diversify stakeholder relationships, 3) improve stakeholder communication, 4) increase all stakeholder engagement activity, especially strategic and customer stakeholder engagement activities, 5) manage stakeholder expectations, 6) increase stakeholder value and alignment, and 7) increase strategic stakeholder relationship strength. Two important best practice findings are that (a) stakeholder engagement should be a dynamic, ongoing process and (b) R&D organizations should systematically identify and prioritize strategic stakeholder engagements. We recommend that R&D organizations develop a decision support tool to identify and prioritize strategic stakeholder engagements, and then use this tool to develop and implement strategic engagement plans.","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"35 1","pages":"50 - 69"},"PeriodicalIF":2.5,"publicationDate":"2022-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41463275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-01DOI: 10.1080/10429247.2022.2027206
Shaoqing Geng, Hanping Hou, Jianliang Yang
Abstract This paper addresses the four essential humanitarian operations: location of emergency facilities, prepositioning of supplies, evacuation, and relief distribution by proposing a hybrid method that combines fuzzy set theory, analytic hierarchy process (AHP), a technique for order preference by similarity to an ideal solution (TOPSIS), and multi-objective programming. The objectives of the proposition are to minimize the evacuation distance, the cost of humanitarian operations, and the suitability of facilities based on qualitative factors while considering the demand, capacity, budget, and utilization constraints. Engineering managers can benefit from the collective expertise of multiple decision-makers, using their knowledge to automatically determine emergency facility location and allocation processes by running the proposed model. The model attempts to achieve a compromise solution for multiple objectives in various humanitarian operations. Finally, the real case study of the Wenchuan earthquake in China is taken to validate the model.
{"title":"A Hybrid Decision Support Model for Deploying Humanitarian Operations to Respond to Earthquakes","authors":"Shaoqing Geng, Hanping Hou, Jianliang Yang","doi":"10.1080/10429247.2022.2027206","DOIUrl":"https://doi.org/10.1080/10429247.2022.2027206","url":null,"abstract":"Abstract This paper addresses the four essential humanitarian operations: location of emergency facilities, prepositioning of supplies, evacuation, and relief distribution by proposing a hybrid method that combines fuzzy set theory, analytic hierarchy process (AHP), a technique for order preference by similarity to an ideal solution (TOPSIS), and multi-objective programming. The objectives of the proposition are to minimize the evacuation distance, the cost of humanitarian operations, and the suitability of facilities based on qualitative factors while considering the demand, capacity, budget, and utilization constraints. Engineering managers can benefit from the collective expertise of multiple decision-makers, using their knowledge to automatically determine emergency facility location and allocation processes by running the proposed model. The model attempts to achieve a compromise solution for multiple objectives in various humanitarian operations. Finally, the real case study of the Wenchuan earthquake in China is taken to validate the model.","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"34 1","pages":"705 - 717"},"PeriodicalIF":2.5,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46116830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-25DOI: 10.1080/10429247.2022.2030179
V. Nazimko, L. Zakharova
Abstract Project expediting is an important tool, which helps to prevent risks of losses following the project schedule tardiness. We developed an algorithm of iterative crashing (AIC), which not only involved traditional time/cost/resource parameters but also accounted for the structure of a project schedule, the number of critical paths (CP), their probabilities, and the probability of activities. Two auxiliary indexes were constructed to select the critical activity and control the process of schedule expediting. AIC was tested on five previously optimized benchmark schedules. Multiplying CPs and leveling their probabilities can reduce bias up to 23% and are capable of improving these benchmarks schedules by at least 6%.
{"title":"Project Schedule Expediting under Structural and Parametric Uncertainty","authors":"V. Nazimko, L. Zakharova","doi":"10.1080/10429247.2022.2030179","DOIUrl":"https://doi.org/10.1080/10429247.2022.2030179","url":null,"abstract":"Abstract Project expediting is an important tool, which helps to prevent risks of losses following the project schedule tardiness. We developed an algorithm of iterative crashing (AIC), which not only involved traditional time/cost/resource parameters but also accounted for the structure of a project schedule, the number of critical paths (CP), their probabilities, and the probability of activities. Two auxiliary indexes were constructed to select the critical activity and control the process of schedule expediting. AIC was tested on five previously optimized benchmark schedules. Multiplying CPs and leveling their probabilities can reduce bias up to 23% and are capable of improving these benchmarks schedules by at least 6%.","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"35 1","pages":"29 - 49"},"PeriodicalIF":2.5,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41626221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-17DOI: 10.1080/10429247.2022.2027205
Nitidetch Koohathongsumrit, W. Meethom
Abstract This study presents a novel decision-making framework for route selection in multimodal transportation networks under fuzzy environments. The proposed framework integrates the fuzzy group decision-making technique, the fuzzy deliberate process, and fuzzy multiple criteria decision-making approaches. Hence, the fuzzy Delphi method, fuzzy risk assessment, the fuzzy analytic hierarchy process, and the fuzzy technique for order of preference by similarity to ideal solution are first combined to select the most appropriate multimodal route. An empirical study demonstrates that the proposed framework is an outstanding and systematic decision support tool to aid decision makers in transportation decision-making processes of freight route selections.
{"title":"A Fuzzy Decision-Making Framework for Route Selection in Multimodal Transportation Networks","authors":"Nitidetch Koohathongsumrit, W. Meethom","doi":"10.1080/10429247.2022.2027205","DOIUrl":"https://doi.org/10.1080/10429247.2022.2027205","url":null,"abstract":"Abstract This study presents a novel decision-making framework for route selection in multimodal transportation networks under fuzzy environments. The proposed framework integrates the fuzzy group decision-making technique, the fuzzy deliberate process, and fuzzy multiple criteria decision-making approaches. Hence, the fuzzy Delphi method, fuzzy risk assessment, the fuzzy analytic hierarchy process, and the fuzzy technique for order of preference by similarity to ideal solution are first combined to select the most appropriate multimodal route. An empirical study demonstrates that the proposed framework is an outstanding and systematic decision support tool to aid decision makers in transportation decision-making processes of freight route selections.","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"34 1","pages":"689 - 704"},"PeriodicalIF":2.5,"publicationDate":"2022-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49390544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-24DOI: 10.1080/10429247.2023.2206765
Brian Smith, Jennifer Cross, Simon P. Philbin
Abstract:The idea of hegemony, in its Gramscian sense, contributed to the renewal of several fields of social sciences in the 1970s and 1980s. This idea circulates between different geocultural spaces and different times. The approach adopted in this article starts from the contexts in which this idea is mobilized in order to show to which theoretical and practical stakes it answers. Focusing on four authors (Antonio Gramsci, Ernesto Laclau, Chantal Mouffe, and Pablo Iglesias) and on the transfers from one author to another, the aim of this paper is to highlight the social conditions conducive to the deployment of the idea of Gramscian hegemony and to identify the (dis)continuities that punctuate its history. Throughout the socio-historical course marked out by the written productions of these four authors, one constant appears: the vitality of the concept of hegemony seems linked to periods of crisis— theoretical and / or strategic—of the Left.
{"title":"Editor’s Introduction","authors":"Brian Smith, Jennifer Cross, Simon P. Philbin","doi":"10.1080/10429247.2023.2206765","DOIUrl":"https://doi.org/10.1080/10429247.2023.2206765","url":null,"abstract":"Abstract:The idea of hegemony, in its Gramscian sense, contributed to the renewal of several fields of social sciences in the 1970s and 1980s. This idea circulates between different geocultural spaces and different times. The approach adopted in this article starts from the contexts in which this idea is mobilized in order to show to which theoretical and practical stakes it answers. Focusing on four authors (Antonio Gramsci, Ernesto Laclau, Chantal Mouffe, and Pablo Iglesias) and on the transfers from one author to another, the aim of this paper is to highlight the social conditions conducive to the deployment of the idea of Gramscian hegemony and to identify the (dis)continuities that punctuate its history. Throughout the socio-historical course marked out by the written productions of these four authors, one constant appears: the vitality of the concept of hegemony seems linked to periods of crisis— theoretical and / or strategic—of the Left.","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"35 1","pages":"101 - 101"},"PeriodicalIF":2.5,"publicationDate":"2022-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43586322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-10DOI: 10.1080/10429247.2021.2020580
Yi-Hsin Lin, Zheng Qin, C. Kim, Yujia Zhang, Nini Xia
Abstract This study aims to examine the direct effects of dynamic capabilities on the competitive advantages of Chinese and South Korean (hereafter Korea) contractors, the moderating roles of Eastern relationships, and the manner in which international contractors use dynamic capabilities in their projects under different levels of Eastern relationships. In this study, ordinary least squares regression analysis was used to test the proposed hypotheses. The results show that the integration and coordination ability amongst political relationships and business relationships of Chinese and Korean contractors have a significant positive effect on project competitive advantage. Political relationships can negatively moderate the impact of environmental perception ability, and integration and coordination ability on project competitive advantage, and positively moderate the impact of learning ability on project competitive advantage. Business relationships positively moderate the impact of environmental perception ability on project competitive advantage, and negatively moderate the impact of learning ability on the competitive advantage of projects. The joint research on the dynamic capabilities and competitive advantages of the contractors in developed countries and developing countries in the context of Eastern culture can further validate the universality of the dynamic capabilities theory.
{"title":"Dynamic Capabilities, Eastern Relationships, and Competitive Advantages: An Empirical Assessment of Chinese and South Korean International Contractors","authors":"Yi-Hsin Lin, Zheng Qin, C. Kim, Yujia Zhang, Nini Xia","doi":"10.1080/10429247.2021.2020580","DOIUrl":"https://doi.org/10.1080/10429247.2021.2020580","url":null,"abstract":"Abstract This study aims to examine the direct effects of dynamic capabilities on the competitive advantages of Chinese and South Korean (hereafter Korea) contractors, the moderating roles of Eastern relationships, and the manner in which international contractors use dynamic capabilities in their projects under different levels of Eastern relationships. In this study, ordinary least squares regression analysis was used to test the proposed hypotheses. The results show that the integration and coordination ability amongst political relationships and business relationships of Chinese and Korean contractors have a significant positive effect on project competitive advantage. Political relationships can negatively moderate the impact of environmental perception ability, and integration and coordination ability on project competitive advantage, and positively moderate the impact of learning ability on project competitive advantage. Business relationships positively moderate the impact of environmental perception ability on project competitive advantage, and negatively moderate the impact of learning ability on the competitive advantage of projects. The joint research on the dynamic capabilities and competitive advantages of the contractors in developed countries and developing countries in the context of Eastern culture can further validate the universality of the dynamic capabilities theory.","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"34 1","pages":"671 - 688"},"PeriodicalIF":2.5,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49231000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-02DOI: 10.1080/10429247.2022.2062202
Brian K. Smith, E. Pohl
I would like to begin by letting you know this is the last issue for which I will serve as the Co-Editor. I have really enjoyed serving as a Co-Editor during the last 4 years. I would like to thank Dr. Heather Nachtmann and Dr. Brian Smith, they made my service as a Co-Editor a wonderful experience. I would also like to thank Jennifer Farris who has served as our managing editor during that time. She has done an outstanding job facilitating the intake of papers for the journal. Finally, I would like to thank our dedicated team of Associate Editors and reviewers. The journal would not exist without you. You all have made my time as a Co-Editor a joy. Our society and profession owe you all a great debt of gratitude for your hard work, dedicated service, and the professionalism with which you have managed the paper review process for the journal. We continue to publish rigorous academic research and value adding practitioner papers that contribute to the engineering management profession. The journal is in a very good place thanks to all of you, submissions are up, our impact factor has increased steadily, and our accepted paper queue has steadily grown. I wish all of you well in the future. As a result of our growing accepted paper queue, this issue contains 10 articles. Several of which explore approaches to knowledge management, risk management and mitigation, six sigma and quality, and economic analysis. We would like to thank all of our reviewers who contributed to the peer-review process for these papers as well as Associate Editors Sols, Scala, Philbin, Landaeta, Pinheiro de Lima, Bastian, Martinez Leon and Furterer for their contributions to this issue. Our issue begins with a paper entitled “Exploring Configurations of Knowledge Management Strategy in the Information and Communication Technology Firms: A Qualitative Comparative Approach”. This work examines and identifies knowledge management strategies. The author surveyed 440 firms of which they received 87 useful cases to motivate their findings. The author conducts a crisp-set qualitative comparative analysis to identify multiple case configurations. The study helps reconcile disagreement in the literature between balanced versus dominant-contingent views of knowledge strategies. In “Application of Risk Management for Discrete Event Simulation Projects in Healthcare Systems,” the authors investigate how to use project risk management to reduce the occurrence of failure for Discrete Event Simulation models in healthcare. The work investigates both managerial and technical risks. This work provides engineering managers insights on how to implement and manage risk management techniques of discrete event simulation projects in healthcare settings. In our third article, “Selection of Emerging Technologies: A Case Study in Technology Strategies of Intelligent Vehicles,” Zhao, Kuang, Hao, and Liu, explore how to formulate corporate technology strategies. The authors provide strategic approache
{"title":"Editor’s Introduction for the March 2022 Issue","authors":"Brian K. Smith, E. Pohl","doi":"10.1080/10429247.2022.2062202","DOIUrl":"https://doi.org/10.1080/10429247.2022.2062202","url":null,"abstract":"I would like to begin by letting you know this is the last issue for which I will serve as the Co-Editor. I have really enjoyed serving as a Co-Editor during the last 4 years. I would like to thank Dr. Heather Nachtmann and Dr. Brian Smith, they made my service as a Co-Editor a wonderful experience. I would also like to thank Jennifer Farris who has served as our managing editor during that time. She has done an outstanding job facilitating the intake of papers for the journal. Finally, I would like to thank our dedicated team of Associate Editors and reviewers. The journal would not exist without you. You all have made my time as a Co-Editor a joy. Our society and profession owe you all a great debt of gratitude for your hard work, dedicated service, and the professionalism with which you have managed the paper review process for the journal. We continue to publish rigorous academic research and value adding practitioner papers that contribute to the engineering management profession. The journal is in a very good place thanks to all of you, submissions are up, our impact factor has increased steadily, and our accepted paper queue has steadily grown. I wish all of you well in the future. As a result of our growing accepted paper queue, this issue contains 10 articles. Several of which explore approaches to knowledge management, risk management and mitigation, six sigma and quality, and economic analysis. We would like to thank all of our reviewers who contributed to the peer-review process for these papers as well as Associate Editors Sols, Scala, Philbin, Landaeta, Pinheiro de Lima, Bastian, Martinez Leon and Furterer for their contributions to this issue. Our issue begins with a paper entitled “Exploring Configurations of Knowledge Management Strategy in the Information and Communication Technology Firms: A Qualitative Comparative Approach”. This work examines and identifies knowledge management strategies. The author surveyed 440 firms of which they received 87 useful cases to motivate their findings. The author conducts a crisp-set qualitative comparative analysis to identify multiple case configurations. The study helps reconcile disagreement in the literature between balanced versus dominant-contingent views of knowledge strategies. In “Application of Risk Management for Discrete Event Simulation Projects in Healthcare Systems,” the authors investigate how to use project risk management to reduce the occurrence of failure for Discrete Event Simulation models in healthcare. The work investigates both managerial and technical risks. This work provides engineering managers insights on how to implement and manage risk management techniques of discrete event simulation projects in healthcare settings. In our third article, “Selection of Emerging Technologies: A Case Study in Technology Strategies of Intelligent Vehicles,” Zhao, Kuang, Hao, and Liu, explore how to formulate corporate technology strategies. The authors provide strategic approache","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"34 1","pages":"1 - 1"},"PeriodicalIF":2.5,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41744000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
COVID-19 has become a global disaster that has disturbed the socioeconomic fabric of the world. Efficient and cost-effective diagnosis methods are very much required for better treatment and eliminating false cases for COVID-19. COVID-19 disease is a type of respiratory syndrome, thus lung X-ray analysis has got the attention for an effective diagnosis. Hence, the proposed study introduces an Image processing based COVID-19 detection model C-COVIDNet, which is trained on a dataset of chest X-ray images belonging to three categories: COVID-19, Pneumonia, and Normal person. Image preprocessing pipeline is used for extracting the region of interest (ROI), so that the required features may be present in the input. This lightweight convolution neural network (CNN) based approach has achieved an accuracy of 97.5% and an F1-score of 97.91%. Model input images are generated in batches using a custom data generator. The performance of C-COVIDNet has outperformed the state-of-the-art. The promising results will surely help in accelerating the development of deep learning-based COVID-19 diagnosis tools using radiography.
COVID-19 已成为一场全球性灾难，扰乱了世界的社会经济结构。为了更好地治疗和消除 COVID-19 的假病例，非常需要高效且具有成本效益的诊断方法。COVID-19 疾病是一种呼吸系统综合症，因此肺部 X 射线分析得到了有效诊断的关注。因此，本研究提出了一种基于图像处理的 COVID-19 检测模型 C-COVIDNet，该模型是在属于三个类别的胸部 X 光图像数据集上训练出来的：COVID-19、肺炎和正常人。图像预处理管道用于提取感兴趣区（ROI），以便在输入中显示所需的特征。这种基于轻量级卷积神经网络（CNN）的方法达到了 97.5% 的准确率和 97.91% 的 F1 分数。模型输入图像是使用自定义数据生成器分批生成的。C-COVIDNet 的性能超过了最先进的技术。这些令人鼓舞的结果必将有助于加速开发基于深度学习的 COVID-19 放射学诊断工具。
{"title":"C-COVIDNet: A CNN Model for COVID-19 Detection Using Image Processing.","authors":"Neha Rajawat, Bharat Singh Hada, Mayank Meghawat, Soniya Lalwani, Rajesh Kumar","doi":"10.1007/s13369-022-06841-2","DOIUrl":"10.1007/s13369-022-06841-2","url":null,"abstract":"<p><p>COVID-19 has become a global disaster that has disturbed the socioeconomic fabric of the world. Efficient and cost-effective diagnosis methods are very much required for better treatment and eliminating false cases for COVID-19. COVID-19 disease is a type of respiratory syndrome, thus lung X-ray analysis has got the attention for an effective diagnosis. Hence, the proposed study introduces an Image processing based COVID-19 detection model C-COVIDNet, which is trained on a dataset of chest X-ray images belonging to three categories: COVID-19, Pneumonia, and Normal person. Image preprocessing pipeline is used for extracting the region of interest (ROI), so that the required features may be present in the input. This lightweight convolution neural network (CNN) based approach has achieved an accuracy of 97.5% and an F1-score of 97.91%. Model input images are generated in batches using a custom data generator. The performance of C-COVIDNet has outperformed the state-of-the-art. The promising results will surely help in accelerating the development of deep learning-based COVID-19 diagnosis tools using radiography.</p>","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"24 1","pages":"10811-10822"},"PeriodicalIF":2.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055375/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81649185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-30DOI: 10.1080/10429247.2021.1982603
Joshua Nelson, Heather Keathley
Abstract Augmented Reality (AR) has advanced rapidly, and a breadth of applications can be found in industry. While research suggests that these tools are effective in improving operational or worker performance, applications related to engineering and operations management functions, such as monitoring work practices and process control, are less common and reportedly experience additional challenges due to the nature of these tasks. This article reviews research focused on AR applications for management-related tasks exploring progress in this area, identifying key challenges, and defining opportunities for future research. Augmented Reality technology has the potential to support engineering and operations management by creating Immersive Performance Environments; however, there are many challenges to the successful adoption of this technology that must be overcome to bring the potentially powerful benefits of this technology to practice.
{"title":"Augmented Reality for Managerial Tasks: Review and Implications for Engineering and Operations Management","authors":"Joshua Nelson, Heather Keathley","doi":"10.1080/10429247.2021.1982603","DOIUrl":"https://doi.org/10.1080/10429247.2021.1982603","url":null,"abstract":"Abstract Augmented Reality (AR) has advanced rapidly, and a breadth of applications can be found in industry. While research suggests that these tools are effective in improving operational or worker performance, applications related to engineering and operations management functions, such as monitoring work practices and process control, are less common and reportedly experience additional challenges due to the nature of these tasks. This article reviews research focused on AR applications for management-related tasks exploring progress in this area, identifying key challenges, and defining opportunities for future research. Augmented Reality technology has the potential to support engineering and operations management by creating Immersive Performance Environments; however, there are many challenges to the successful adoption of this technology that must be overcome to bring the potentially powerful benefits of this technology to practice.","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"34 1","pages":"638 - 654"},"PeriodicalIF":2.5,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46435048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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