Fabric defect detection is a crucial step in the textile industry's quality assurance process. Traditional techniques, such as human inspection, were employed in the past to find fabric defects. However, there are...
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Given the rapid increase in global population, advancements in agricultural technology are crucial for ensuring food security and promoting sustainable farming practices. The study suggests a new way to determine whet...
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Cloud-fog architecture, as a hybrid distributed architecture, combines the powerful computing capabilities of cloud computing with the low-latency of fog computing, providing more efficient data processing services fo...
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This innovative practice work in progress paper presents a systematic approach for screening and aligning service-learning projects that maximize student learning outcomes. We introduce a feasibility assessment model ...
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ISBN:
(纸本)9798350351507
This innovative practice work in progress paper presents a systematic approach for screening and aligning service-learning projects that maximize student learning outcomes. We introduce a feasibility assessment model with criteria evaluated through a standardized rubric that guides instructors to critically assess the project fit to help in proactively identifying risks to student outcomes. The rubric serves a dual purpose: guiding the assessment process and prompting discussions with potential project partners. These discussions elicit crucial details about the project scope, potential challenges, and other critical factors. This not only facilitates effective project selection but also allows for necessary adjustments to project parameters, significantly improving the chances of successful student completion. This work builds on the experience accumulated by CCSU's Software Engineering Studio which connects community project partners with teams of 4-5 seniors working on software development projects spanning one or several semesters. Since 2014, the Software Engineering Studio has facilitated over 65 distinct projects and engaged over 550 students. By capturing the lessons learned across a wide range of successful service-learning projects, we show the value of using a feasibility assessment model to evaluate potential projects based on criteria including alignment with course goals, student skill sets, workload manage-ability, educational engagement, and other considerations. The application of this model is illustrated with a case study, which demonstrates how this model helps instructors align projects with academic goals while considering scope, risks, and other critical elements. This example demonstrates how the model facilitates communication with project partners, identifies potential risks, and guides project adjustments to ensure a successful learning experience for students. The approach is transferable to other disciplines with adaptations for project
Multilingual sentiment analysis has become essential for brands targeting international customers across multiple cultures and languages as a result of the corporate world's growing globalization. To accurately co...
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The ability to produce explanations for automated systems in healthcare domains is crucial for establishing trust between users and the system. Despite the growing demand for explainable artificial intelligence in med...
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Reflecting on positive moments in daily life can amplify emotions and improve well-being. In this study, we develop a life-logging service called TippyMirror, focusing on a display method using the mirror metaphor. Ti...
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This half-day tutorial is designed for those who want an introduction to building a digital library using an open source software program. The tutorial will focus on the Greenstone digital library software. In particu...
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Conventional healthcare systems have long struggled to address the varied needs of large patient populations, often leading to inefficiencies and less-than-optimal outcomes. Yet, the advent of machine learning (ML) an...
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In the field of computer vision and pattern recognition,knowledge based on images of human activity has gained popularity as a research *** recognition is the process of determining human behavior based on an *** impl...
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In the field of computer vision and pattern recognition,knowledge based on images of human activity has gained popularity as a research *** recognition is the process of determining human behavior based on an *** implemented an Extended Kalman filter to create an activity recognition system *** proposed method applies an HSI color transformation in its initial stages to improve the clarity of the frame of the *** minimize noise,we use Gaussian *** of silhouette using the statistical *** use Binary Robust Invariant Scalable Keypoints(BRISK)and SIFT for feature *** next step is to perform feature discrimination using Gray *** that,the features are input into the Extended Kalman filter and classified into relevant human activities according to their definitive *** experimental procedure uses the SUB-Interaction and HMDB51 datasets to a 0.88%and 0.86%recognition rate.
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