检索结果-内蒙古大学图书馆

14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023

作者： Mahesh, T.R. Singh Chandel, Aman Gupta, Harshitha Jain, Rakshit Garg, Sadhvi Faculty of Engineering and Technology Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798350335095

Crop classification is an important aspect of farming because it improves crop management and increases crop yield. This study proposes a CNN-based crop classification technique using high-resolution images. To use this method, we created a database of 30 crops, including jute, maize, almonds, rice, sugarcane, banana, wheat, and others. The Convolutional Neural Network (CNN) is an Artificial Intelligence-based algorithm that learns similar features from images and is capable of performing a variety of tasks such as image classification, object detection, and segmentation. In this system, CNN or ConvNet is used to learn the features provided in the input images by sequentially entering several layers such as Convolution, Activation function (RELU), Pooling, and Flattening. Finally, with only a few explanations in the training set, this providing outstanding classifies new images. The proposed method has two major components: preprocessing and categorization. The experimental results show that the proposed tactic worked extremely well, with a ground truth of 0.9264. © 2023 IEEE.

关键词： Convolution

来源：评论

学校读者我要写书评

暂无评论

A Big Data, Bigger Impact: A Comprehensive Review of Machine Learning Advancements 4

A Big Data, Bigger Impact: A Comprehensive Review of Machine...

引用

4th International Conference on Electrical Engineering and computer science, ICECOS 2024

作者： Dlshad Hamad Ameen, Didar Wahhab Kareem, Shahab Baez Hasan, Sarhad Soran University Faculty of Science Computer Science Department Soran Kurdistan Iraq Engineering Erbil Polytechnic University Erbil Department of Information System Kurdistan Iraq

ISBN: (纸本)9798350368253

The exponential growth of data driven by the internet has necessitated effective extraction of insights, with big data and machine learning standing as pivotal tools. This paper aims to provide insights into the evolving landscape of machine learning and big data analytics through a comprehensive literature review. It seeks to underscore the key advancements and intersections between these domains and their transformative applications across industries. Specifically, the study will delve into the foundational theories that underpin machine learning algorithms, data collection and preprocessing techniques involved in big data analysis, and the prominent challenges associated with extracting insights from large and complex datasets. It will further explore major studies that exemplify the integration of machine learning methodologies and big data technologies for addressing real-world problems. The study will also examine visualization methods that facilitate comprehending insights gleaned from big data. Finally, it will discuss future research directions and highlight best practices for leveraging machine learning and big data analytics in decision-making processes. © 2024 IEEE.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Analysis of Weight-Bearing Squat Posture based on Deep Learning and Sports science 23

Analysis of Weight-Bearing Squat Posture based on Deep Learn...

引用

23rd International Conference on Machine Learning and Cybernetics, ICMLC 2024

作者： Chen, Ji-Yi Lin, Kuan-Yu Chi, Chia-Li Lin, Chun-Jung National Chin-Yi University of Technology Department of Computer Science and Information Engineering Taiwan Central Taiwan University of Science and Technology Department of Nursing Taichung Taiwan

ISBN: (纸本)9798331528041

This study investigates the biomechanics of weighted squats and the development of an AI-based fitness coach system utilizing deep learning and sports science. Employing BlazePose and MediaPipe for pose estimation, the system analyzes squat posture by calculating key angles and identifying squat phases. An experiment with 12 experienced participants performing squats at various weights was conducted. Data analysis revealed that increased weight results in greater forward lean and deeper knee flexion. The AI fitness coach system offers real-time feedback, data visualization, and progress tracking, thereby enhancing training effectiveness and safety. The findings demonstrate the system's potential to improve squat technique and prevent injuries. © 2024 IEEE.

关键词： AI fitness coach Biomechanics BlazePose Data visualization Deep learning Injury prevention MediaPipe Pose estimation Real-time feedback Weighted squats

来源：评论

学校读者我要写书评

暂无评论

Advancing Mixed Reality Game Development: An Evaluation of a Visual Game Analytics Tool in Action-Adventure and FPS Genres

引用

Proceedings of the ACM on Human-computer Interaction 2024年第CHI PLAY期8卷 1-32页

作者： Sargolzaei, Parisa Rastogi, Mudit Zaman, Loutfouz Faculty of Business and Information Technology Ontario Tech University 2000 Simcoe St N OshawaONL1G 0C5 Canada Computer Science and Technology SRM Institute of Science and Technology SRM Nagar Chengalpattu District Tamil Nadu Kattankulathur603203 India

In response to the unique challenges of Mixed Reality (MR) game development, we developed GAMR, an analytics tool specifically designed for MR games. GAMR aims to assist developers in identifying and resolving gameplay issues effectively. It features reconstructed gameplay sessions, heatmaps for data visualization, a comprehensive annotation system, and advanced tracking for hands, camera, input, and audio, providing in-depth insights for nuanced game analysis. To evaluate GAMR's effectiveness, we conducted an experimental study with game development students across two game genres: action-adventure and first-person shooter (FPS). The participants used GAMR and provided feedback on its utility. The results showed a significant positive impact of GAMR in both genres, particularly in action-adventure games. This study demonstrates GAMR's effectiveness in MR game development and suggests its potential to influence future MR game analytics, addressing the specific needs of developers in this evolving area. © 2024 ACM.

关键词： Visual analytics

来源：评论

学校读者我要写书评

暂无评论

Wireless Predictive Text Entry system for the Handicapped 11

Wireless Predictive Text Entry System for the Handicapped

引用

11th IEEE Conference on systems, Process and Control, ICSPC 2023

作者： Teoh, Shen Khang Seah, Ni Xuan Tan, Lyk Yin Jayapal, Vikneswary Universiti Tunku Abdul Rahman Faculty of Information and Communication Technology Department of Computer and Communication Technology Malaysia

ISBN: (纸本)9798350340860

Text entry systems are commonly found in today's digital devices, including computers and smartphones that employ 'QWERTY' keyboards for user interaction. While these systems are intuitive for the general population, they present usability challenges for individuals with disabilities. The primary issue is the difficulty that people with disabilities encounter when trying to input text. Traditional keyboards typically feature 101 or 104 keys and demand substantial hand movements, making them impractical for individuals with limited hand mobility, especially those with disabilities. In this paper, we introduce a novel wireless predictive text entry system aimed at simplifying the text input process, enabling faster input for individuals with mobility challenges. This predictive text input system is similar to the T9 text input system keyboard, featuring a 3x3 grid arrangement of predictive text input keys. It empowers users to select words without the need to type the entire word into a search box. Subsequently, the selected word is seamlessly integrated into third-party applications, such as notepad. Furthermore, the input device designed for this system is portable, lightweight, and boasts extended battery life, ensuring user-friendliness. It emulates the functionality of graphical user interface (GUI) software, featuring a 3x3 grid arrangement of keys. Finally, the proposed input device is tested by individuals that operate it with a single hand, using a lone finger for text entry and achieved 11.2 word per minutes (WPM). © 2023 IEEE.

关键词： Digital devices

来源：评论

学校读者我要写书评

暂无评论

Exploring Large Scale Docker Image Vulnerability and Storage Performance Analysis Using High Performance Container-Based Docker Environment

Exploring Large Scale Docker Image Vulnerability and Storage...

引用

2024 International Conference on system, Computation, Automation and Networking, ICSCAN 2024

作者： Kavya Sri, B. Mahalakshmi, K. Anna University Faculty of Information and Communication Engineering Chennai India Kit - Kalaignarkarunanidhi Institute of Technology Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798331510022

In modern cloud environments, Docker containers have become a cornerstone for efficient application deployment, enabling microservices architectures and seamless scalability. However, large-scale Docker environments present significant challenges, particularly in terms of security vulnerabilities and storage performance. This paper explores vulnerability analysis and storage performance optimization in high-performance, container-based Docker environments. Docker swarm is a container orchestration platform which could be very useful for maintaining the docker containers at scale even at distributed environment, these tools also provide us a great features for managing the rolling updates and health check in the lifecycle of containers. We perform a comprehensive evaluation of Docker image vulnerabilities using automated scanning tools, assessing common vulnerabilities and exposures (CVEs) across large image repositories. Additionally, we investigate storage performance bottlenecks and analyse the impact of various storage drivers on container efficiency. Our findings offer critical insights into balancing performance and security in high-scale Docker deployments, proposing strategies for mitigating risks and enhancing resource management. The results guide container orchestration decisions for enterprises aiming to deploy secure, high-performance systems. © 2024 IEEE.

关键词： Bottles

来源：评论

学校读者我要写书评

暂无评论

Beyond Boundaries:Strengthening the Fabric of IoT Security through Blockchain Innovations 18

Beyond Boundaries:Strengthening the Fabric of IoT Security t...

引用

18th INDIAcom;11th International Conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Nisa, Khair Ul Alqahtani, Hanan Saad Fatima, Ummatul Lhioui, Chahira Helali, Rasha Gaffer Mohammed Hussain, Gousiya University of Bisha Department of Computer Science and Information Technology Saudi Arabia King Khalid University Department of Computer Saudi Arabia Aligarh Muslim University Faculty of Science Department of Statistics and Operations Research Aligarh India Mewar University Department of Computer Sciences Chittorgarh India

ISBN: (纸本)9789380544519

Blockchain technology has been utilized to bypass regulations on IoT security. Blockchain technology provides numerous benefits that can improve the security of Internet of Things devices with limited resources, such as decentralization, shared resources, immutable data transfer, dispersed network topology, and shared resources. The study delves into the advantages of blockchain technology for identity management, authentication, data integrity, availability, and confidentiality. The research findings have improved the accessibility of this study. This investigation has revealed research on using blockchain technology to address cybersecurity issues. This study has focused solely on the subject of cyber security. The advantages of blockchain technology are clear. Here is a point of concern due to the system's instability and decentralization, which limits its capacity to tackle potential problems in the information security field. The increase in blockchain applications has enhanced compliance with current security protocols and discouraged cyber criminals from attempting security breaches. The study's findings may inspire further exploration of cybersecurity in fields beyond those closely linked to the Internet of Things. Ensuring the integrity of the cryptography and certification processes is vital, especially as end users depend on encryption for various daily tasks, especially with the increasing use of HTTPS encryption on the internet. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： Blockchain Cybersecurity Internet of Things (IoT)

来源：评论

学校读者我要写书评

暂无评论

Image-Based Automatic Energy Meter Reading Using Deep Learning

引用

computers, Materials & Continua 2023年第1期74卷 203-216页

作者： Muhammad Imran Hafeez Anwar Muhammad Tufail Abdullah Khan Murad Khan Dzati Athiar Ramli Institute of Computer Sciences and Information Technology Faculty of Management and Computer SciencesThe University of AgriculturePeshawarPakistan Department of Electrical and Computer Engineering COMSATS University IslamabadAttock CampusAttock CityPakistan Kuwait College of Science and Technology Kuwait CityKuwait School of Electrical&Electronic Engineering USM Engineering CampusUniversiti Sains MalaysiaPenang14300Malaysia

We propose to perform an image-based framework for electrical energy meter *** aim is to extract the image region that depicts the digits and then recognize them to record the consumed *** the readings of serial numbers and energy meter units,an automatic billing system using the Internet of Things and a graphical user interface is deployable in a real-time ***,such region extraction and character recognition become challenging due to image variations caused by several factors such as partial occlusion due to dust on the meter display,orientation and scale variations caused by camera positioning,and non-uniform illumination caused by *** this end,our work evaluates and compares the stateof-the art deep learning algorithm You Only Look Once(YOLO)along with traditional handcrafted features for text extraction and *** image dataset contains 10,000 images of electrical energymeters and is further expanded by data augmentation such as in-plane rotation and scaling tomake the deep learning algorithms robust to these image *** training and evaluation,the image dataset is annotated to produce the ground truth of all the ***,YOLO achieves superior performance over the traditional handcrafted features with an average recognition rate of 98%for all the *** proves to be robust against the mentioned image variations compared with the traditional handcrafted *** proposed method can be highly instrumental in reducing the time and effort involved in the currentmeter reading,where workers visit door to door,take images ofmeters and manually extract readings from these images.

关键词： Convolutional neural network object localization machine learning

来源：评论

学校读者我要写书评

暂无评论

A Way to Mark Attentance using Face Recognition using PL 3

A Way to Mark Attentance using Face Recognition using PL

引用

3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Vivek, V. Tr, Mahesh Faculty of Engineering and Technology Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798350399264

The computer system that is used to take attendance online is going to be upgraded as part of this project. This attendance tracking system is able to hold the technology known as facial recognition, which is a useful feature. This device helps students take attendance by utilizing both a biometric technology and artificial intelligence algorithms in one convenient package. When pupils enter the classroom, the face recognition software can identify them, making it useful for educational institutions of any kind. The existing system has a number of flaws that make it difficult to accurately record the attendance of both students and teachers. The approach makes it simpler to mark attendance and lowers the number of mistakes that might occur when doing *** students and teachers will gain a significant amount by utilizing these techniques. The ability to recognize people based on their faces is becoming increasingly significant in practically every industry. Face recognition techniques will be used to understand the faces. An attendance record is compared to the record that corresponds to it that was previously saved in the database. A student's photograph is used as a check point for this comparison. © 2023 IEEE.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Multi-Party Privacy Policy Management in the Context of Health Monitoring: An Exploratory Study 23

Multi-Party Privacy Policy Management in the Context of Heal...

引用

8th International Conference on Sustainable information Engineering and technology, SIET 2023

作者： Sun, Luyi Yeng, Prosper Fauzi, Muhammad Ali Khatiwada, Pankaj Yang, Bian Department of Information Security and Communication Technology Norwegian University of Science and Technology Gjøvik Norway Faculty of Computer Science Brawijaya University Malang Indonesia

ISBN: (纸本)9798400708503

There is an increasing number of assisted living technologies and health monitoring systems to provide electronic health services and help patients and the elderly stay at home longer. It ensures users' safety and reduces caregivers' workload. Regardless of the benefits that health monitoring systems have brought to users, they are in the face of privacy challenges, which can influence users' adoption of these technologies. One of the challenges is multi-party privacy policy management. As different parties may have different considerations in the same scenario, they can make different privacy decisions. Therefore, a privacy policy management scheme is required to deal with conflicts. In this paper, we present the work of a user study with the scope of collecting several participants' opinions on multi-party privacy policy management in the context of health monitoring. One focus group and eight semi-structured interviews were conducted. Our questions for participants adopt strategies from online social networks. After that, we discuss participants' views on privacy decision conflict resolution in different health conditions and whether a recommendation system is needed to help with multi-party privacy policy management. We try to make prioritization based on participants' views and the emergency level of events in different scenarios, increase technology adoption, and ensure health services are better delivered. The results reflect the importance of adopting flexible strategies like majority weighted voting in different health conditions, which serves as a basis for multi-party privacy policy scheme development. © 2023 Owner/Author.

关键词： Social networking (online)

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：