检索结果-内蒙古大学图书馆

2025 International Conference on Computing for Sustainability and Intelligent Future, COmP-SIF 2025

作者： Neela, N. manjunath, T.N. Nishitha, R. Janavi, P. bhat, Pratheeksha B.M.S. Institute of Technology and Management Department of Information Science and Engineering Bengaluru India

ISBN: (纸本)9798331538538

The rise of GenAI appears to be a turning point in the shaping of the education industry as it brings forth the ability for various civilisations throughout the globe to integrate different personalised forms of teaching and learning principles within themselves. For this purpose, the capabilities of GenAI in educational systems are demonstrated by implementing web-based application called EduFab Course Generator. As for the technologies that were applied for the development of the application, these were ***, React, and Tailwind CSS. AI materials for creating course materials are made available by the Gemini API, along with Drizzle for the AI Course Generator database management and Clerk for secure authentication management. According to scale requirements of the course, EduFab Course Generator enables users to teach new lessons and topics which also creates the scene for GenAI powered alternative curriculum innovations. To secure the user, Clerk simplifies user management while making authentication detailed. To enrich and enhance the experience of the user at each point in time, the Gemini API develops various text formats like videos, exams, and vocational experience as learning materials for other courses. For securing the user's customized documents along with the user activity history, Drizzle supports flexible and type compliant backend database operations which enable and enhance end-user experience © 2025 IEEE.

关键词： Curricula

来源：评论

学校读者我要写书评

暂无评论

Dynamic Content Generation for Learning management System Using Generative AI

Dynamic Content Generation for Learning Management System Us...

引用

2025 International Conference on Computing for Sustainability and Intelligent Future, COmP-SIF 2025

作者： Vinutha, K. manjunath, T.N. Nithyashri, S. Gopal, Anaya Singh Sinchana, R.P. B.M.S. Institute of Technology and Management Department of Information Science and Engineering Bangalore India

ISBN: (纸本)9798331538538

The following paper presents the newly developed concept of Artificial Intelligence-based LmS that intends to revolutionize contemporary education and enhance the flow of education. The system also has built-in tools that help the user to filter courses on different aspects of goal - orientation, for specific coding exams or for professional development, as well as for users with particular levels of difficulty. Such features as quizzes, flashcards, chapter wise course with added YouTube videos, chatbot integrated in the Q&A module. The system empowers users to tailor their courses based on specific goals, such as preparing for job coding exams or professional skill development, while also adjusting for individual difficulty levels. Core features include interactive quizzes, flashcards, chapter-wise course enriched with YouTube videos, chatbot feature, question and-answer module. Another component to increase interaction is testing module which allows users to practice their knowledge and check the result by passing the questions and answers. Additionally, it offers two standout capabilities powered by Gemini AI: a math aid, which involves a virtual teacher that offers solutions to uploaded mathematics questions and a guide that helps users go through information on the Internet using conversion. The most remarkable one is the mock interview module, which along with analysing user responses to the questions presented by AI. Thus, it links the educational process with the opportunities for career growth, providing its users with the resources to address actual difficulties. based on modern technologies, the LmS utilizes the Neon database for data management, Inngest for the event-based execution of actions, Clerk for authentication, and a fast frontend based on ***, React, and Tailwind CSS. The following paper aims to discuss the system, its application and the ways in which it is poised to revolutionise learning in the era of the web. © 2025 IEEE.

关键词： Information management

来源：评论

学校读者我要写书评

暂无评论

Dynamic Content Generation for Learning management System Using Generative AI

Dynamic Content Generation for Learning Management System Us...

引用

Computing for Sustainability and Intelligent Future (COmP-SIF), International Conference on

作者： Vinutha K manjunath T N S. Nithyashri Anaya Singh Gopal Sinchana R P Department of Information Science and Engineering B.M.S. Institute of Technology and Management Bangalore India

ISBN: (数字)9798331538538

ISBN: (纸本)9798331538545

关键词： Video on demand Neon engineering profession Education Chatbots Encoding Web sites Artificial intelligence Interviews Videos

来源：评论

学校读者我要写书评

暂无评论

1D CNN based model for Detection of DDoS Attack 2

1D CNN Based Model for Detection of DDoS Attack

引用

2nd IEEE International Conference on Device Intelligence, Computing and Communication Technologies, DICCT 2024

作者： Padmavathy, C. mahalakshmi, A. Vadivel, R. Kumawat, Rajat Dutta, Ritam Roy, bhaskar Dutta, Nilanjan Computer Science and Engineering Sri Ramakrishna Engineering College Coimbatore India Computer Science and Engineering B.N.M Institute of Technology Bangalore India Computer Science and Engineering Poornima University Jaipur India Artificial Intelligence & Machine Learning Asansol Engineering College Asansol India Electronics & Comm. Engineering Asansol Engineering College Asansol India

ISBN: (纸本)9798350372847

As the technology behind informatics systems has improved, the Internet of Things (IoT) has grown in significance and application. IoT applications are becoming more popular as a result of the expansion of IoT enablers including smart watches, smart phones, security cameras, and smart sensors. Unfortunately, other issues have raised due to the unsecured nature of IoT devices. Distributed Denial of Service (DDoS) assaults are one of the deadliest cyber-attacks as an example. The untrustworthiness of IoT systems causes a number of security issues. Protecting IoT networks from dispersed denial of service attacks has been the focus of several recent research and development efforts. The primary challenge in this area of study is creating a model that is responsive to different types of DDoS assaults while also being able to distinguish between malicious and benign traffic to prevent false positives. In this study, a Convolutional Neural Network with only one dimension is used. The suggested system is employed in both statistics and cognitive science, and it is based on the central nervous system in particular. They are modelled as mathematical functions that are structured to depict complicated interactions between inputs and outputs (dependent variables), and they are exemplified by the connectivity of brain systems from a variety of input variables to the output (dependent variables) We foresee three types of assaults in our article. All models are tested with precision, recall and F-score analysis. SVm achieved nearly 86% of precision, 95.15% of recall and 90.43% of F-score, where the projected model achieved 92.53% of precision, 97.17% of recall and 91.59% of F-score. © 2024 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

minimum device usages of field programmable gate array (FPGA) verification of multilevel PWm inverter drive generation

引用

materials Today: Proceedings 2022年 65卷 313-321页

作者： Umavathi, m. Santhakumar, C. Sathyasekar, K. bharatiraja, C. Athikkal, Sivaprasad Department of Electrical and Electronics Engineering B.M.S College of Engineering Karnataka Bengaluru 560019 India Department of Electrical and Electronics Engineering K S R Institute for Engineering and Technology Tamil Nadu Tiruchengode 637215 India Department of Electronics and Communication Engineering Prathyusha Engineering College Chennai 603203 India Department of Electrical and Electronics Engineering SRM Institute of Science and Technology Tamil Nadu Kattankulathur 603203 India

Space Vector Pulse-Width modulation (SVPWm) has now become an unavoidable PWm in the power electronics inverter development. If the SVPWm implementation can be made user-friendly, the operation can be easily soaked in by the future researchers and also the closed loop operation becomes sophisticated. This paper conveys a broad view about the state of art of different Field programmable gate array (FPGA) processors along with the inner views about the implementations of the 3-level SVPWm. The description of the different processors is discussed along with the implementation variance and also attempts to implement the SVPWm through Xilinx Spartan-III 3AN-XC3S400 using mATLAb-Xilinx System Generator (XSG) without deploying the direct Very High Speed Language (VHDL) code. It provides shortest translation designs into hardware implementations that are faithful, synthesizable and efficient, which permits the designer to minimise the time spent for the description and implementation of circuit. The synthesis result shows that the proposed implementation at 50 mHz frequency operation consumes a power of 13mW and occupies 1112 look up tables (LUTs) and 424 File File (FFs). Thereby, the Total Resource Utilization reduced drastically to 36%, which is far better than the other existing implementations. Also, the inference of less processing time can be seen from the synthesis. © 2022

关键词： Pulse width modulation

来源：评论

学校读者我要写书评

暂无评论

Performance evaluation of nanosilica derived from agro-waste as lost circulation agent in water-based mud

引用

Petroleum Research 2023年第2期8卷 256-269页

作者： Augustine Agi Jeffrey O.Oseh Afeez Gbadamosi Cheo Kiew Fung Radzuan Junin mohd Zaidi Jaafar Faculty of Chemical and Process Engineering Technology College of Engineering TechnologyUniversiti Malaysia Pahang26300GambangPahangMalaysia Institute for Oil and Gas(IFOG) Universiti Teknologi Malaysia81310Johor BahruMalaysia Federal University of Technology P.M.B.1526OwerriImo StateNigeria Department of Petroleum Engineering College of Petroleum and GeosciencesKing Fahd University of Petroleum and Minerals31261DhahranSaudi Arabia Department of Petroleum Engineering School of Chemical and Energy EngineeringFaculty of EngineeringUniversiti Teknologi Malaysia81310 Johor BahruMalaysia

Seepage or loss of the mix-water from the drilling muds into the porous and permeable formations is a common problem during drilling *** drilling mud design requires a good knowledge of sealing integrity and all the factors influencing the mud to bridge through fractures or pore throat of exposed *** circulation materials(LCms)are commonly introduced into the drilling mud to prevent or minimize filtrate *** study investigates silica nanoparticle(SNP)derived from rice husk(RH)termed RH-SNP using the wet-milling method as an LCm inwater-based mud(Wbm).The impact of the RH-SNP in the enhancement of rheology and filtrate loss control properties of Wbm was ***,the sealing integrity of the RH-SNP in a 1 mm and 2 mm simulated fracture for 7 min was determined using a stainless-steel slotted filter *** performance of the developed RH-SNP was compared with the widely applied *** synthesized RH-SNP at amount of 2.0 wt% significantly enhanced the yield point and plastic viscosity of the Wbm by 75% and 386%,respectively,and minimized the fluid loss of the Wbm by 47% at 80°*** enhancement is due to the particles ability to spread and interact efficiently with the *** the use of 1 mm and 2 mm simulated fracture for 7 min,the mud loss volume of the base mud reduced by 50%,66.7%,86%,and 90%(for 1 mm)and 40%,65.7%,77.1%,and 80%(for 2 mm)with the inclusion of 0.5 wt%,1.0 wt%,1.5 wt%,and 2.0 wt% of RH-SNP,***,the results showed that RH-SNP enhanced the seal integrity of the drilling mud and was more resistant to deformation compared to the *** findings of this study can help for better understanding of the application of RH-SNP as a loss circulation agent owing to its superior ability to seal fractured formation compared with the often used nutshell.

关键词： Rice husk silica nanoparticles Loss circulation material Fractured formation Water based-mud Rheology

来源：评论

学校读者我要写书评

暂无评论

Performance Driven Experimental Analysis of Apache Spark Configuration Parameters 7

Performance Driven Experimental Analysis of Apache Spark Con...

引用

7th IEEE International Conference on Computational Systems and Information technology for Sustainable Solutions, CSITSS 2023

作者： Akshatha, G.C. Sanjay, H.A. Kumar, Ashish Ravi bharadwaj, Avani Krishanamurthy, G.N. Bangalore India Visvesvaraya Technological University Belagavi590018 India Ramaiah Institute of Technology Department of Information Science and Engineering Bangalore India Carelon Global Solutions Banaglore India Ig Group Bangalore India B N M Institute of Technology Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798350343144

big Data refers to huge volume of data in the range of peta bytes or higher. In order to store and process such large volume of data there is a need for distributed processing platforms as conventional stand-alone platforms cannot store or process bigdata. Distributed bigdata analytics frameworks helps in storage and processing of bigdata. The most popularly used open source bigdata analytics framework provided by Apache foundation includes Hadoop and Spark. Apache Spark is widely considered for processing bigdata because of its in-memory computation capability. The major challenges involved in big data analytics are managing the huge volume and variety of data originating from different sources in different formats. Apache Spark has around 180 configurable parameters and all of these parameters are set to some default values. It is very difficult for the normal user to identify the optimal values for these configuration parameters. And also, not all parameters may have impact on the application performance. Therefore, the proposed work aims at conducting an experimental research for identifying the subset of key apache spark configuration parameters that impacts on the execution time of an application and its optimal values to maximize performance by analyzing the effect of various parameters and its values. In the proposed work the Execution Time of the spark job/application is considered as the performance indicator. The result section of the proposed work presents the various key parameters and its optimal values. © 2023 IEEE.

关键词： big data

来源：评论

学校读者我要写书评

暂无评论

machine Learning Algorithm to Detect EEG based Emotion states using Virtual-Video stimuli 1

Machine Learning Algorithm to Detect EEG based Emotion state...

引用

1st IEEE International Conference on Advances in Electronics, Communication, Computing and Intelligent Information Systems, ICAECIS 2023

作者： Thejaswini, S. Ramesh babu, N. mamatha, K.R. B M S Institute of Technology and Management Dept. of Ete Karnataka Bengaluru India K S School of Engineering and Management Dept. of Cse Karnataka Bengaluru India

ISBN: (纸本)9798350348057

The interpretation and detection of human emotions are crucial functions of the center-nervous system. Physiological signals are used widely to develop emotion recognition systems in recent years. Detection of emotions using electroencephalogram is a challenging task since they exhibit nonlinear nature. In this paper, three popular machine-learning models are implemented on an acquired database using a Novel approach. The EEG signals are acquired by showing Virtual Reality Video clips for eight discrete emotions. Thirty-four features are extracted in time and frequency domains. The frequency bands decomposition is carried out using 4-level Discrete-Wavelet-Transforms. The generated feature vectors are used on KNN, SVm, and ANN algorithm-based classifiers to classify the data into four, three, and two emotion states. The overall accuracy using ANN, SVm, and KNN classifiers is 85.50%, 73.50%, and 66.75% respectively for 4 classes. The performance of ANN classifiers gave a better accuracy compared to other models. © 2023 IEEE.

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

Gesture Recognition machine Vision Video Calling Application Using YOLOv8 22

Gesture Recognition Machine Vision Video Calling Application...

引用

22nd International Symposium on Communications and Information Technologies, ISCIT 2023

作者： Pruthvi Darshan, S.S. Patil, Shantakumar b. Patil, bhargav S. Premjyoti Sai Vidya Institute of Technology Department of Computer Science & Engineering Karnataka Bengaluru560064 India B.M.S. College of Engineering Department of Computer Science & Engineering Karnataka Bengaluru560019 India Karnataka Bengaluru560019 India

ISBN: (纸本)9781665457316

Gesture recognition pertains to a computer system's capacity to identify and understand hand gestures, categorizing them into captions or text. This technology holds vast potential for applications in education, communication, and accessibility, especially for individuals with hearing disabilities. This research introduces a gesture recognition video calling application, enabling communication among individuals with and without speech and hearing abilities. To enhance accuracy, the application employs Darknet's YOLOv8 for object detection. YOLOv8 is a robust and efficient system that excels in various computer vision tasks, such as object detection, instance segmentation, and image classification. The paper proposes a trained model for image classification, encompassing ten different hand gesture classes, which processes each video frame during the call, achieving a remarkable 98% accuracy with a low latency of 10ms. The application displays the classification results on top of the interface during the video call. © 2023 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

AI-Infused Telemedicine for Rural Wellness: A Comprehensive Approach

AI-Infused Telemedicine for Rural Wellness: A Comprehensive ...

引用

Innovative Trends in Information technology (ICITIIT), International Conference on

作者： Nidhi b Kurpad S Dhanyashree V Shivank T A S Surya Shobith S Vinila Jinny Computer Science and Engineering Vellore Institute of Technology Vellore India Electronics and Communication Engineering S J B Institute of Technology Bengaluru India Electrical and Electronics Engineering B N M Institute of Technology Bengaluru India Department of Software Systems Vellore Institute of Technology Vellore India

ISBN: (数字)9798350386813

ISBN: (纸本)9798350386820

The paper introduces a transformative Telemedicine Kiosk designed to enhance healthcare in remote areas by harnessing the synergy of computational intelligence and telemedicine. This advanced kiosk utilizes real-time video conferencing and comprehensive patient monitoring systems, all underpinned by Responsible AI practices that ensure ethical data management and the protection of patient privacy. Equipped with an ESP32 Wi-Fi module, the kiosk provides seamless communication between patients and medical officers, facilitating immediate care and consultation. The system goes beyond diagnostics: it supports healthcare professionals with an integrated medication dispensing mechanism powered by IoT technology. Our investigation delves into the implications of human factors, economics, and technological advances for the future of telemedicine. We present an innovative solution that not only advances healthcare accessibility but also embodies a commitment to responsible and ethical healthcare service provision in underserved regions.

关键词： Ethics Data privacy Patient monitoring Telemedicine medical services Real-time systems Protection

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：