检索结果-内蒙古大学图书馆

4th International Conference on Robotics, Electrical and Signal Processing Techniques, ICREST 2025

作者： Chowdhury, Shah Fahim Rabbi, Abid Mahamud Saif, Mushfiq Qayyum Khan, Nafisa Anjum Hasan, Khandaker Tabin Deparment of Computer Science and Engineering Dhaka Bangladesh Faculty of Science and Technology Dhaka Bangladesh

ISBN: (纸本)9798331530938

This research explores the use of haptic technology in heavy vehicle driving safety, focusing on its potential to enhance driver assistance systems and improve driving experience. The study addresses driver-induced causes of traffic accidents, including drivers' inability to see around the vehicle due to its length and height. The proposed system provides 360-degree cognitive awareness through haptic feedback, which can improve road safety and mitigate challenges in diverse driving conditions. By using haptic feedback, the driver will be able to get a tangible sense of the presence of objects surrounding the vehicle. Through a comprehensive review of existing literature and experimental studies, the research demonstrates the potential of haptic feedback in revolutionizing the driving experience. The findings highlight the optimum mapping between sensors and vibration motors positions on the human body © 2025 IEEE.

关键词： Vehicle safety

来源：评论

学校读者我要写书评

暂无评论

computer Vision and Image Segmentation: LBW Automation Technique 3rd

Computer Vision and Image Segmentation: LBW Automation Techn...

引用

3rd International Conference on Machine Learning, Internet of Things and Big Data, ICMIB 2023

作者： Nayak, Jeebanjyoti Jena, Jyotsnarani Pradhan, Hrushikesh Das, Jyotiprakash Bhagat, Surendra N. Deparment of Computer Science and Engineering Balasore College of Engineering and Technology Sergarh Balasore India

ISBN: (纸本)9789819939312

Cricket is globally a famous game in which different technologies are being used to help the umpire in correct decision management. The bowl delivery is whether a fair one or LBW which is generally a matter of concern. Sometimes the decision of third umpire also goes wrong. This kind of error in making the decision can change the dimension of the game so, it is essential to make the decision precisely. This paper proposes computer vision and image subtraction technique. At first, it must figure out that whether a delivery is no-ball or the fair one, for that image processing method is used on popping crease by detecting the pixel size. If the delivery is a fair one then, it will track the movement of the ball by using the colour segmentation method, video processing on the pitch. Then by the help of ultra-edge detection technique it can identify whether the ball has touched the edge of the bat or not. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

MEMS ultrasonic transducers for safe,low-power and portable eye-blinking monitoring

引用

Microsystems & Nanoengineering 2022年第3期8卷 91-104页

作者： Sheng Sun Jianyuan Wang Menglun Zhang Yuan Ning Dong Ma Yi Yuan Pengfei Niu Zhicong Rong Zhuochen Wang Wei Pang State Key Laboratory of Precision Measuring Technology and Instruments Tianjin UniversityTianjinChina Deparment of Computer Science and Technology Universty of CambridgeCambridgeUK

Eye blinking is closely related to human physiology and *** is an effective method of communication among people and can be used in human-machine *** blink monitoring methods include videooculography,electro-oculograms and infrared ***,these methods suffer from uncomfortable use,safety risks,limited reliability in strong light or dark environments,and infringed informational *** this paper,we propose an ultrasound-based portable approach for eye-blinking activity ***-power pulse-echo ultrasound featuring biosafety is transmitted and received by microelectromechanical system(MEMS)ultrasonic transducers seamlessly integrated on *** size,weight and power consumption of the transducers are 2.5 mm by 2.5 mm,23.3 mg and 71μW,respectively,which provides better portability than conventional methods using wearable ***-blinking activities were characterized by open and closed eye states and validated by experiments on dfferent ***,real-time eye-blinking monitoring was successfully demonstrated with a response time less than 1 *** proposed solution paves the way for ultrasound-based wearable eye-blinking monitoring and offers miniaturization,light weight,low power consumption,high informational security and biosafety.

关键词： linking portable power

来源：评论

学校读者我要写书评

暂无评论

Fundamental Spatial Parameters of Human Mobility

Fundamental Spatial Parameters of Human Mobility

引用

2023 Congress in computer science, computer Engineering, and Applied Computing, CSCE 2023

作者： Knezevic, Sasha Kostanic, Ivica Matloub, Zaid Florida Institute of Technology Deparment of Computer Science and Engineering MelbourneFL United States

ISBN: (纸本)9798350327595

A set of parameters for characterizing spatial aspects of human mobility are presented. The parameters are extracted from a large set of crowd-sourced cellular data which were collected in a major metropolitan area of United States. Each parameter is analyzed at three different time scales (daily, weekly, and monthly time scale). The results demonstrate that human mobility on a population scale has a high degree of statistical regularity. The mobility may be described to a great extend using a limited number of judiciously selected parameters. © 2023 IEEE.

关键词： Big data analytics cellular network data human mobility spatial parameters

来源：评论

学校读者我要写书评

暂无评论

Machine Learning-Driven Approaches for Dermatological Disease Diagnosis 2

Machine Learning-Driven Approaches for Dermatological Diseas...

引用

2nd IEEE International Conference on Data science and Network Security, ICDSNS 2024

作者： Raman, Ramakrishnan Kumar, Vikram Saini, Dimple Rabadiya, Dhaval Patre, Smruti Meenakshi, R. India Srv Media Sri Balaji University Pune India Parul Institute of Technology Parul University Computer Science and Engineering Engineering and Technology India Pune India Chennai Institute of Technology Deparment of Computer Science and Engineering India

ISBN: (纸本)9798350373110

Recent advancements in machine learning (ML) have significantly enhanced the accuracy and efficiency of diagnosing dermatological diseases, surpassing conventional methods. This paper presents a detailed exploration of ML-driven approaches, employing sophisticated algorithms such as Convolutional Neural Networks (CNNs), Support Vector Machines (SVMs), and Decision Trees to develop a predictive model for various skin conditions. Our methodology involved collecting and preprocessing a comprehensive dataset of dermatological images, followed by applying these algorithms to classify and predict skin diseases. The model was rigorously evaluated against traditional diagnostic methods using metrics such as accuracy, precision, recall, and F1 score. Results demonstrate that our ML-driven model, particularly the CNNs, achieved superior diagnostic performance with an accuracy of 94%, precision of 92%, recall of 93%, and an F1 score of 92%. These findings highlight the potential of ML to revolutionize dermatological diagnostics, offering a more accessible, efficient, and precise approach to identifying skin diseases. The study underscores the importance of integrating artificial intelligence in healthcare, paving the way for advancements in dermatological diagnostic tools and contributing to the broader discussion on AI in medical applications. This work not only enhances diagnostic capabilities but also opens avenues for more equitable healthcare solutions by reducing reliance on limited dermatological expertise. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Recognition of Secure Data Transmission in Cloud Platform using Deep Learning 3

Recognition of Secure Data Transmission in Cloud Platform us...

引用

3rd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2024

作者： Bhavya, R. Kumar, M. Guru Vimal Ramya, U.M. Janagi, R. Ganesan, M. Deepa, S. New Horizon College of Engineering Department of Computer Science and Engineering Bangalore India Vel Tech Rangarajan Dr. SangunthalaR&D Institute of Science and Technology Department of Computer Science and Engineering Chennai India Sri Krishna College of Engineering and Technology Deparment of Information Technology Coimbatore India Bannari Amman Institute of Technology Department of Computer Science and Engineering Erode India Hindusthan College of Engineering and Technology Deparment of Information Technology Coimbatore India Kongu Engineering College Perundurai Department of Computer Technology-PG Erode638060 India

ISBN: (纸本)9798350375190

The recognition of secure data transmission in a cloud platform requires the integrity of sensitive information with higher confidentiality. This is obtained using the aid of deep learning techniques. The robustness of the system is improved using a random forest algorithm. In secure data transmission, the deep learning algorithms are trained to adopt various patterns of communication with the identification of certain anomalies. They result in security threats. They involve suspicious user behaviour with unexpected information exchange. The overall accuracy and interpretability of the system are achieved using a random forest algorithm which combines multiple decision trees. They are used for handling the high-dimensional data and obtaining the relationship between complex patterns. They helps in the identification of various security threats in the data communication through cloud platforms. This helps in the automatic decision-making process during malicious behaviour. The obtained dataset contains both the secure and insecure datasets. The extracted features acts as an input for the random forest classifier. These features are analyzed by the random forest and provides information that helps to influence the decision-making process. The integrated approach improves the accuracy of the security threats with enhancing transparency in the automatic decision-making techniques. They provide trust in the security measures in the cloud platforms. The collaboration of deep learning with a random forest algorithm helps in obtaining secure data transmission. © 2024 IEEE.

关键词： Behavioral research

来源：评论

学校读者我要写书评

暂无评论

Web-based Application for Real-Time Chatting using Firebase

Web-based Application for Real-Time Chatting using Firebase

引用

2022 IEEE International Conference on Knowledge Engineering and Communication Systems, ICKES 2022

作者： Reddy Lakkireddy, Sri Nishant Thomas, Aaron A Shree, T.Shreya Mamatha, Talakoti Sreenidhi Institute of Science and Technology Deparment of Computer Science Hyderabad India

ISBN: (纸本)9781665456371

A chat application is a program in cyberspace that allows Internet users who are online or have access to the internet to communicate directly with one another. In other words, we can send or receive the messages from one client to another client. The current trend is to send and receive message through visiting application. Facebook, WhatsApp, QQ Mobile, WeChat are a broadly used application. The Chat Application is like an Instant Messaging forward is also called as platform which is used to maintain the communication. Hence, we plan on build a web-based chat application where user can gain remote access throughout the world. And in this we use ReactJ s has frontend, and firebase as the Backend. And this application is used in the Android and also is IOS. © 2022 IEEE.

关键词： Application programs

来源：评论

学校读者我要写书评

暂无评论

Enhancing Medical Imaging Trust with an Efficient Deep Learning System for Forgery Detection 2

Enhancing Medical Imaging Trust with an Efficient Deep Learn...

引用

2nd IEEE International Conference on Data science and Network Security, ICDSNS 2024

作者： Raman, Ramakrishnan Kumar, Vikram Saini, Dimple Rabadiya, Dhaval Patre, Smruti Meenakshi, R. India Srv Media India Sri Balaji University Pune India Parul Institute of Technology Parul University Computer Science and Engineering Engineering and Technology India Pune India Chennai Institute of Technology Deparment of Computer Science and Engineering India

ISBN: (纸本)9798350373110

The integrity of medical images is critical to accurate diagnosis and treatment, but the proliferation of sophisticated editing tools has heightened the risk of forgery, compromising the trustworthiness of medical imaging. This paper introduces an efficient deep learning system designed to safeguard medical imaging by identifying alterations such as splicing, copy-move, and retouching forgeries. Our proposed solution utilizes a convolutional neural network (CNN) architecture enhanced with attention mechanisms, optimized to detect subtle changes in medical images. The development process involved meticulous data preparation, augmentation, and the implementation of advanced mathematical models to refine the system's ability to differentiate between authentic and manipulated images. Evaluation was conducted on a diverse dataset encompassing various imaging modalities like MRI, CT scans, and X-rays, with both genuine and tampered instances. The proposed system delivered superior performance, achieving an accuracy of 97.5%, a precision of 96.8%, a recall of 98.2%, and an F1 score of 97.5%, significantly outperforming existing methods. These results highlight the system's robustness in distinguishing real images from forged ones, thanks to its attention mechanism that allows the model to focus on key areas within the images. Ultimately, this system offers a highly accurate and efficient tool for enhancing the security of medical imaging, reinforcing the potential of deep learning in tackling healthcare challenges and ensuring reliable diagnostics and treatment planning. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Interactive Embodied Intelligence of Machines

引用

CAAI Artificial Intelligence Research 2024年第1期3卷 164-169页

作者： Deyi Li Deparment of Computer Science and Technology Tsinghua UniversityBeijing 100084China

This paper discusses how intelligent machines have replaced humans in tasks requiring,heavy,and repetitive labor,whilst being better suited to the requirements of these *** increased capacity for brute force computation has facilitated increased collaborative innovation between man and *** example,the intelligent farming machines have overcome the confines of computational power,algorithms,and data,and the next generation of intelligent farming machines is expected to interact,learn,and grow *** the future,in addition to self enhancement,humans are expected to teach machines to learn and *** and engineers will collaborate with machines to accomplish invention,discovery,and ***“embodied intelligence”in the farming machine context,we propose(1)deep learning should be performed iteratively via real-time interactions with the external world;(2)embodied control and self-regulation can ensure coordination between behaviors of machines and their environment;(3)intelligent farming machines are characterized by the ability to interact,learn,and grow autonomously.

关键词： embodied intelligence human-machine interaction machine intelligence

来源：评论

学校读者我要写书评

暂无评论

Contact Tracing over Uncertain Indoor Positioning Data (Extended Abstract) 40

Contact Tracing over Uncertain Indoor Positioning Data (Exte...

引用

40th IEEE International Conference on Data Engineering, ICDE 2024

作者： Liu, Tiantian Li, Huan Lu, Hua Cheema, Muhammad Aamir Chan, Harry Kai-Ho Aalborg University Department of Computer Science Denmark College of Computer Science and Technology Zhejiang University China Roskilde University Deparment of People and Technology Denmark Monash University Faculty of Information Technology Australia Information School University of Sheffield United Kingdom

ISBN: (纸本)9798350317152

Pandemics like COVID-19 often cause dramatic losses of human lives and societal impacts, urging efficient and effective contact tracing, especially in indoor venues where the risk of infection is higher. In this work, we formulate a novel query called Indoor Contact Query (ICQ) over raw, uncertain indoor positioning data that digitalizes people's indoor mobility. Given a query object o, e.g., a virus-carrying person, an ICQ analyzes uncertain indoor positioning data to find objects that most likely had close contact with o for a long period of time. To process ICQ, we propose a set of techniques. First, we design an enhanced indoor graph model to organize different types of data necessary for ICQ. Second, for indoor moving objects, we devise methods to determine uncertain regions and to derive positioning samples missing in the raw data. Third, we propose a query processing framework with a close contact determination method, a search algorithm, and multiple acceleration strategies. We conduct extensive experiments on synthetic and real datasets, which verify the efficiency and effectiveness of our proposals. © 2024 IEEE.

关键词： Viruses

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：