检索结果-内蒙古大学图书馆

54th IEEE Frontiers in Education Conference, FIE 2024

作者： Sankaranarayanan, Rajagopal Mithun, Shamima Academic Affairs The University of Texas at Austin Austin United States Purdue University Computer and Information Technology Department Indianapolis United States

ISBN: (纸本)9798350351507

In this research-to-practice full paper, we explored the perceptions of AI-enabled microlearning as an instructional approach in a second-year introduction to database design and programming course for new technology primary students at an urban Midwestern university. This pilot study was built upon our prior work, where we identified the microlearning instructional design practices to maximize student learning outcomes ([1]-[3]). Our analysis of this study was based on the students' perceptions survey (n=23) and twelve semi-structured interviews. The following research questions guided this study: 1)What are students' overall perceptions of the effectiveness of the AI-enabled microlearning approach? 2What are the perceived benefits and challenges of using an AI chatbot in microlearning modules? Using a single case study design, we collected student perceptions through a survey and semi -structured interviews with novice data science students. The results revealed mixed opinions about the effectiveness of the AI-enabled microlearning approach. Although students initially approached the tool with curiosity and interest, they encountered challenges due to its inconsistent and sometimes inaccurate responses. Nevertheless, participants recognized the potential of the AI tool in simplifying concepts and delivering prompt feedback, particularly for basic database queries. However, the AI tool's limitations in handling complex queries and technical errors affected its reliability. This pilot study emphasizes the need to refine AI tools to improve accuracy, consistency, and contextual understanding while incorporating interactive features and human support. Addressing these challenges would allow educators to harness AI tools more effectively for personalized, technology-enhanced learning in database management and other technical courses. Overall, the findings highlight the potential of AI-enabled microlearning as a valuable instructional approach for teaching introductory

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

On information Hiding in Natural Language Systems 35th

On Information Hiding in Natural Language Systems

引用

35th International Florida Artificial Intelligence Research Society Conference, FLAIRS-35 2022

作者： Bihani, Geetanjali Rayz, Julia Taylor Computer and Information Technology Purdue University United States

With data privacy becoming more of a necessity than a luxury in today’s digital world, research on more robust models of privacy preservation and information security is on the rise. In this paper, we take a look at Natural Language Steganography (NLS) methods, which perform information hiding in natural language systems, as a means to achieve data security as well as confidentiality. We summarize primary challenges regarding the secrecy and imperceptibility requirements of these systems and propose potential directions of improvement, specifically targeting steganographic text quality. We believe that this study will act as an appropriate framework to build more resilient models of Natural Language Steganography, working towards instilling security within natural language-based neural models. © 2022 by the authors. All rights reserved.

关键词： Steganography

来源：评论

学校读者我要写书评

暂无评论

A Triangulation-Based Visual Localization for Field Robots

引用

IEEE/CAA Journal of Automatica Sinica 2022年第6期9卷 1083-1086页

作者： James Liang Yuxing Wang Yingjie Chen Baijian Yang Dongfang Liu Department of Computer Engineering Rochester Institute of TechnologyRochesterNY 14623 USA IEEE Department of Computer and Information Technology Purdue UniversityWest LafayetteIN 47907 USA

Dear Editor,Visual localization relies on local features and searches a prestored GPS-tagged image database to retrieve the reference image with the highest similarity in feature spaces to predict the current location[1]-[3].For the conventional methods[4]-[6],local features are generally explored by multiple-stage feature extraction whichfirst detects and then describes key-point features[4],[7].

关键词： Visual database image

来源：评论

学校读者我要写书评

暂无评论

Characterizing Intercultural Competence among Cybersecurity Majors 53

Characterizing Intercultural Competence among Cybersecurity ...

引用

53rd IEEE ASEE Frontiers in Education International Conference, FIE 2023

作者： Jaiswal, Aparajita Thomas, Paul Karabiyik, Tugba Purdue University Cilmar West Lafayette United States Purdue University Computer and Information Technology West Lafayette United States Purdue Systems Collaboratory Purdue University West Lafayette United States

ISBN: (纸本)9798350336429

Intercultural competence has taken on renewed importance due to the increasingly diverse nature of work environments. The prevalence of virtual and remote teams in recent years has also contributed to the growing need for an interculturally trained workforce. There is a demand for graduates to be able to effectively work with those from cultures and backgrounds different from their own. Several higher education institutions in the United States have responded to this by first assessing their students using various assessments to determine their intercultural competence. Universities have further incorporated concepts of intercultural competence into their regular curriculum of study with the goal of equipping students with the skills to be successful in intercultural environments. This study is situated in a STEM classroom at the Polytechnic Institute of a large midwestern university. This study also attempts to address the dearth of literature pertaining to intercultural development in STEM fields with a specific focus on the cybersecurity discipline. This study is guided by the research question, how can intercultural competence be characterized for students enrolled in a first-year introductory cybersecurity course? The students enrolled in this course were provided trainings using portable intercultural learning modules (PIMs) focused on productive conflict management as well as the cultural influences on the intent and impact of communication practices. A rubric adapted from the behavioral rubric of Intercultural Skills Development was used to score 50 student reflections following the aforementioned intercultural training. The data was analyzed using a mixed-methods approach. Descriptive statistical analyses were conducted to understand the overall intercultural gains for all students. Furthermore, hierarchical clustering was used to analyze the data. The clustering algorithm helped to divide the students into two clusters, with one displaying high intercultur

关键词： cybersecurity first- year students Intercultural Learning STEM Education

来源：评论

学校读者我要写书评

暂无评论

A Practical Adversarial Attack on Contingency Detection of Smart Energy Systems

A Practical Adversarial Attack on Contingency Detection of S...

引用

2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022

作者： Sabounchi, Moein Wei-Kocsis, Jin Purdue University Department of Computer and Information Technology United States

ISBN: (纸本)9781665437752

Due to the advances in computing and sensing, deep learning (DL) has widely been applied in smart energy systems (SESs). These DL-based solutions have proved their potentials in improving the effectiveness and adaptiveness of the control systems. However, in recent years, increasing evidence shows that DL techniques can be manipulated by adversarial attacks with carefully-crafted perturbations. Adversarial attacks have been studied in computer vision and natural language processing. However, there is very limited work focusing on the adversarial attack deployment and mitigation in energy systems. In this regard, to better prepare the SESs against potential adversarial attacks, we propose an innovative adversarial attack model that can practically compromise dynamical controls of energy system. We also optimize the deployment of the proposed adversarial attack model by employing deep reinforcement learning (RL) techniques. In this paper, we present our first-stage work in this direction. In simulation section, we evaluate the performance of our proposed adversarial attack model using standard IEEE 9-bus system. © 2022 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Examining Stereotypes in News Articles 35th

Examining Stereotypes in News Articles

引用

35th International Florida Artificial Intelligence Research Society Conference, FLAIRS-35 2022

作者： Zhang, Damin Rayz, Julia Taylor Department of Computer and Information Technology Purdue University United States

Gender biases or stereotypes have been studied in short text and manually labeled corpora, but little work has been done in real-world unlabeled text corpora like news articles. This work investigated news articles from mainstream U.S. media outlets ranging from 2013 to early 2020. We used structural topic modeling to estimate gender prevalent topics, compared the results with topic modeling embedding, and incorporated qualitative and quantitative analyses to understand the appearance of gender stereotypes in news articles from each gender group. The structural topic modeling results showed that gender prevalent topics align with stereotypical representations of either gender group and media outlets with imbalanced gender distribution are more influential on stereotypical representations. The topic modeling embedding results support prior results and provide additional information supporting the conclusion. © 2022 by the authors. All rights reserved.

关键词： Modeling languages

来源：评论

学校读者我要写书评

暂无评论

The Ability of Pretrained Large Language Models in Understanding Health Concepts in Social Media Posts

The Ability of Pretrained Large Language Models in Understan...

引用

2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Jiang, Keyuan Bernard, Gordon R. Purdue University Northwest Department of Computer Information Technology & Graphics HammondIN United States Vanderbilt University Department of Medicine NashvilleTN United States

ISBN: (纸本)9798350386226

Lay people's terms of health concepts are widely found in social medial data. Understanding their terms can help learn what they have experienced. The existing consumer health vocabularies do not include many health concept phrases found in social media. Recent advancement of pretrained large language models has demonstrated their state-of-the-art performance in a number of natural language processing tasks. In this work, we investigated 3 commonly used pretrained large language models on their ability of understanding consumer health concepts. The results on a corpus of 156 phrases related to 3 common COVID-19 symptoms showed that these pretrained general domain language models generated encouraging outputs, indicating that they may be a promising alternative to the current consumer health vocabularies. © 2024 IEEE.

关键词： Electronic health record

来源：评论

学校读者我要写书评

暂无评论

Systematic analysis of artificial intelligence in the era of industry 4.0

引用

Journal of Management Analytics 2023年第1期10卷 89-108页

作者： Weiru Chen Wu He Jiayue Shen Xin Tian Xianping Wang Department of Information Technology&Decision Science Old Dominion UniversityNorfolkVAUSA Department of Computer&Information Science Arkansas Tech UniversityRussellvilleARUSA Department of Engineering Technology SUNY Polytechnic InstituteUticaNYUSA College of Computing and Software Engineering Kennesaw State UniversityMariettaGAUSA Computer Information Technology&Graphics Department Purdue University NorthwestHammondINUSA

Artificial Intelligence has been playing a profound role in the global economy,social progress,and people’s daily *** the increasing capabilities and accuracy of AI,the application of AI will have more impacts on manufacturing and service areas in the era of industry *** study conducts a systematic literature review to study the state-of-the-art on AI in industry *** paper describes the development of industries and the evolution of *** paper also identifies that the development and application of AI will bring not only opportunities but also challenges to industry *** findings provide a valuable reference for researchers and practitioners through a multi-angle systematic analysis of *** the era of industry 4.0,AI system will become an innovative and revolutionary assistance to the whole industry.

关键词： Industry 4.0 AI deep learning neural network supervised learning unsupervised learning reinforced learning

来源：评论

学校读者我要写书评

暂无评论

Mitigating Sex Bias in Audio Data-Driven COPD and COVID-19 Breathing Pattern Detection Models

Mitigating Sex Bias in Audio Data-Driven COPD and COVID-19 B...

引用

International Workshop on Wearable and Implantable Body Sensor Networks (BSN)

作者： Rachel Pfeifer Sudip Vhaduri James Eric Dietz Computer Science Department Purdue University IN Computer and Information Technology Department Purdue University IN

ISBN: (数字)9798331530143

ISBN: (纸本)9798331530150

In the healthcare industry, researchers have been developing machine learning models to automate diagnosing patients with respiratory illnesses based on their breathing patterns. However, these models do not consider the demographic biases, particularly sex bias, that often occur when models are trained with a skewed patient dataset. Hence, it is essential in such an important industry to reduce this bias so that models can make fair diagnoses. In this work, we examine the bias in models used to detect breathing patterns of two major respiratory diseases, i.e., chronic obstructive pulmonary disease (COPD) and COVID-19. Using decision tree models trained with audio recordings of breathing patterns obtained from two open-source datasets consisting of 29 COPD and 680 COVID-19-positive patients, we analyze the effect of sex bias on the models. With a threshold optimizer and two constraints (demographic parity and equalized odds) to mitigate the bias, we witness 81.43% (demographic parity difference) and 71.81 % (equalized odds difference) improvements. These findings are statistically significant.

关键词： COVID-19 Industries Analytical models Body sensor networks Medical services Machine learning Audio recording Chronic obstructive pulmonary disease Decision trees

来源：评论

学校读者我要写书评

暂无评论

Enhanced Cognitive Quality Inspection in Manufacturing through Siamese Few-Shot Learning 7

Enhanced Cognitive Quality Inspection in Manufacturing throu...

引用

7th IEEE Pune Section International Conference, PuneCon 2024

作者： Dharaskar, Yog Parikh, Atharva Aloni, Ketaki Rajput, Vipulkumar Vishwakarma Institute of Information Technology Department of Computer Engineering Pune India Purdue University Department of Statistics West Lafayette United States Vishwakarma Institute of Information Technology Department of Electronics and Telecommunication Pune India

ISBN: (纸本)9798331527822

Defect detection in manufacturing remains challenging, with traditional methods relying on inflexible, hardcoded image processing techniques. While deep learning approaches show promise, they often lack scalability across product variations and require extensive training data. This paper presents a novel few-shot learning-based strategy for defect detection, addressing these limitations. Our proposed solution centers on a Siamese Defect classification model utilizing the Swin-L (Shifted Window Transformer) architecture. This approach enables efficient scaling across new products with minimal technical overhead. The models are trained on the industry-standard MVTEC dataset and optimized for real-time processing on embedded GPU devices, ensuring practical applicability in manufacturing environments. The developed prototype incorporates automated removal of defective items while preserving detailed information for subsequent analysis. By combining few-shot learning with advanced model architectures, our solution offers a reliable and highly scalable approach to defect detection. © 2024 IEEE.

关键词： Graphics processing unit

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：