检索结果-内蒙古大学图书馆

International Conference on Computational and Characterization Techniques in engineering & Sciences (CCTES)

作者： Aditi Moudgil Bhavna Sareen G S Pradeep Ghantasala Rajesh Sharma R Akey Sungheetha I.D. Soubache Pellakuri Vidyullatha Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Department of Computer Science and Engineering Alliance University Bengaluru India Department of Computer Science and Engineering Alliance College of Engineering and Design Alliance University Bengaluru India Department of EEE Pondicherry University Pondicherry India Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Guntur Andhra Pradesh India

ISBN: (数字)9798350364699

ISBN: (纸本)9798350364705

Separation of overlapping digits is observed as a very difficult task when done with human eye, but subsequently it becomes easy when computer vision is used for the same task. The authors have constructed a capsule network which recognizes and separates the overlapped digits. Small sized convolutional kernels were used for the first step of feature extraction which provides grained features this reducing the training parameters. The same process could also possibly be applied for overlapping alphabets and characters also. The process was further followed by insertion of capsule layer into the model which resulted in 93.08% accuracy. Finally the overlapped digits were separated and the image of each digit was reconstructed.

关键词： Training computer vision Accuracy Feature extraction Kernel Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Defending Against Vishing Attacks: A Comprehensive Review for Prevention and Mitigation Techniques

Defending Against Vishing Attacks: A Comprehensive Review fo...

引用

International Conference on Recent Developments in Cyber Security, ReDCySec 2023

作者： Ashfaq, Shaikh Chandre, Pankaj Pathan, Shafi Mande, Uday Nimbalkar, Madhukar Mahalle, Parikshit Information Technology Department M H Saboo Siddik College of Engineering Mumbai India Computer Science and Engineering Department MIT School of Computing MIT Art Design and Technology University Loni Kalbhor Pune India Artificial Intelligence and Data Science Department Vishwakarma Institute of Information Technology Kondhwa Pune India

ISBN: (纸本)9789819998104

Vishing attacks, or voice phishing attacks, are a type of social engineering attack in which attackers use voice communication channels, such as phone calls, to trick victims into divulging sensitive information or performing actions that compromise their security. Vishing attacks have become increasingly common in recent years and can have severe consequences for individuals, businesses, and organizations. In this review, we examine various prevention and mitigation techniques that can be used to defend against vishing attacks. We start by discussing the common tactics used by attackers and how they exploit vulnerabilities in human behaviour to achieve their goals. We then present an overview of different prevention and mitigation techniques, including education and awareness campaigns, technical solutions such as authentication mechanisms and policy-based approaches. We also evaluate the effectiveness of different techniques, highlighting their strengths and weaknesses, and provide guidance on how to implement a comprehensive vishing defence strategy. Finally, we discuss emerging trends and challenges in vishing attacks and defence, such as the use of artificial intelligence and deepfake technology, and suggest directions for future research and development. Overall, this review provides a comprehensive and up-to-date overview of the current state of vishing attacks and defence, and should be of interest to researchers, practitioners, and individuals who want to enhance their knowledge and understanding of this important topic. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

Internet of Things Assisted Remote Health and Safety Monitoring Scheme Using Intelligent Sensors 2

Internet of Things Assisted Remote Health and Safety Monitor...

引用

2nd IEEE International Conference on Advances in Computing, Communication and Applied Informatics, ACCAI 2023

作者： Ramkumar, V. Shanthi, S. Kumar, K. Suresh Kanageswari, S. Mahalakshmi, S. Anusuya, R. R.M.K. Engineering College Department of ECE Chennai India Care College of Engineering Department of ECE Tiruchirappalli India Panimalar Engineering College Department of Mba Chennai India Loyola College Department of Computer Science Chennai India R.M.K Engineering College Department of Computer Science and Design Chennai India Modern Institute of Technology and Research Centre Department of Cse Rajasthan Alwar India

ISBN: (纸本)9798350315905

The Internet of Things (IoT) in telemedicine creates an enormous data volume that must be processed, analyzed, and stored. Risk to one's health is no longer mitigated by one's chronological age, thanks to today's hectic schedules and unexpected ways of living. The Internet of Things has made it easier to provide continuous remote health checks on patients outside of the hospital or clinic, or even in their own homes. Detectors record data on a variety of patient health factors, and the Internet of Things saves and displays this data on a website that also allows for remote monitoring. When the potential of IoT technology is taken into consideration, the challenges that patients with physical instability have while trying to regularly contact a doctor in person can be circumvented. The microcontroller's role in this project is that of a data relay. This system presents a new method for health service activities by using sensors to monitor a person's vitals and the network to alert concerned family members or physicians in the case of an *** attached buzzer in the controller will sound when there is a change in detector output, alerting the career. A microcontroller is used to monitor the patient's condition;this controller communicates with an LCD display and a wireless LAN to send out alert messages. The patient's heart rate, blood pressure, and temperature will all be displayed in the cloud in instantaneously, and a warning will be sent to the physician via the Internet of Things if the sensor recognizes an abnormality. In order to comprehend how the sensors worked, a comprehensive analysis of the data was collected with regard to fluctuations in physical and environmental activity. © 2023 IEEE.

关键词： Blood pressure

来源：评论

学校读者我要写书评

暂无评论

Detection and Classification of Diabetic Foot Ulcers via Cloud-Based Deep Learning Approach

Detection and Classification of Diabetic Foot Ulcers via Clo...

引用

Delhi Section Conference (DELCON), IEEE

作者： N. Sengottaiyan Malathi Eswaran Akey Sungheetha R. Rajesh Sharma A. L. Pravin G. S. Pradeep Ghantasala Department of Computer Sciences and Engineering Alliance University Bangalore India Department of Computer Sciences and Engineering Kongu Engineering College Erode India Department of Computer Technology - PG Kongu Engineering College Erode India

ISBN: (数字)9798331518592

ISBN: (纸本)9798331518608

The study “Mobile and Cloud-Based Detection of Diabetic Foot Ulcers and Their Classification Using Deep Learning Frameworks” addresses the demanding situations of Diabetic Foot Ulcers (DFUs), which could result in extreme headaches for people with diabetes. The present machine employs a cloud-primarily based, totally deep convolutional neural network (CNN) to investigate character foot snap shots dispatched through a cellular app for ulcer detection and next classification. The proposed framework complements this with the aid of permitting a couple of foot snap shots according to examination, facilitating the targeted categorization and segmentation of DFU types, infections, and ischemia Advanced deep studying strategies, including CNN s and Siamese Neural Networks (SNN s), are applied for analysis and similarity comparison. The intention is to streamline DFU detection and classification, facilitating early intervention and personalized management. By integrating cellular generation and cloud-primarily based totally deep studying, the studies pursuits enhance results for diabetic sufferers at the same time as doubtlessly lowering healthcare burdens.

关键词： Deep learning Neural networks Medical services Diabetes Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Smart Measuring Device for Power with Digital Debiting System Using Mobile Application Tool

Smart Measuring Device for Power with Digital Debiting Syste...

引用

Innovative Practices in technology and Management (ICIPTM), International Conference on

作者： Rajesh Sharma R Rajiv Gandhi Akey Sungheetha Chinnaiyan R Deepaletchumi N Department of CSE Alliance College of Engineering and Design Alliance University Bangalore India Model Constituent College Alagappa University India Department of Computer Science Alagappa University Karaikudi India

ISBN: (数字)9798350307757

ISBN: (纸本)9798350307764

Recently, it has been discovered that the electricity department’s significant income loss is a result of the metering and billing system. At every level of the billing process, errors can occur due to malfunctioning meters, processing faults when processing bills, or human error when recording meter readings. According to a few study estimates, 40almost one-fourth of the electricity produced is either stolen or lost during transmission. A smart system for measuring electricity can solve these issues. designing a smart electricity meter with an Android-based payment system is the goal. We suggested a wireless IOT- based system for smart electricity meters and billing (Internet of Things). In line with the IOT idea, we also used relays to cut off an unpaid user’s power supply, which was controlled wirelessly. Messages will be sent to users via cloud notification once reading has automatically occurred

关键词： Meters Wireless communication Cloud computing Electricity Employment Robustness Registers

来源：评论

学校读者我要写书评

暂无评论

Building the metaverse using digital twins at all scales,states,and relations

引用

Virtual Reality & Intelligent Hardware 2022年第6期4卷 459-470页

作者： Zhihan LV Shuxuan XIE Yuxi LI M.Shamim HOSSAIN Abdulmotaleb El SADDIK Department of Game Design Faculty of ArtsUppsala UniversitySweden College of Computer Science and Technology Qingdao UniversityQingdaoChina Department of Software Engineering College of Computer and Information SciencesKing Saud UniversityRiyadhSaudi Arabia School of Electrical Engineering and Computer Science(EECS) University of OttawaOttawaOntarioCanada

Developments in new-generation information technology have enabled Digital Twins to reshape the physical world into a virtual digital space and provide technical support for constructing the *** objects can be at the micro-,meso-,or *** Metaverse is a complex collection of solid,liquid,gaseous,plasma,and other uncertain ***,the Metaverse integrates tangibles with social relations,such as interpersonal(friends,partners,and family)and social relations(ethics,morality,and law).This review introduces some principles and laws,such as broken windows theory,small-world phenomenon,survivor bias,and herd behavior,for constructing a Digital Twins model for social ***,from multiple perspectives,this article reviews mappings of tangible and intangible real-world objects to the Metaverse using the Digital Twins model.

关键词： Digital twins Metaverse Sensor

来源：评论

学校读者我要写书评

暂无评论

Cryptographic Protocols for Securing Internet of Things (IoT) 15

Cryptographic Protocols for Securing Internet of Things (IoT...

引用

15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Manimekala, B. Aravind, T. Sounderrajan, T. Rajakumareswaran, V. Kondreddi, Krishnaveni Mohanambal, K. Christ University Department of Computer Science Yeshwanthpur Bengaluru India Vel TecRangarajanDr.Sagunthala R&d Institute of Science and Technology Department of Cse School of Computing India Erode Sengunthar Engineering College Department of Ai and Data Science Tamil Nadu Thuduppathi India Erode Sengunthar Engineering College Department of Computer Science and Design Tamil Nadu Thuduppathi India Chaitanya Bharathi Institute of Technology Electrical and Electronics Engineering Ranga Reddy Telangana Gandipet500075 India Bannariamman Institute of Technology Department of Computer Science and Engineering Sathyamangalam India

ISBN: (纸本)9798350370249

Cryptographic protocols are used to relax the ever-developing quantity of linked gadgets that make up the net of things (IoT). Those cryptographic protocols have been designed to make certain that IoT tool traffic stays cozy and personal, even while nevertheless allowing tool-to-device and cloud-to-tool communications. Examples of these protocols consist of TLS/SSL, PGP/GPG, IPsec, SSL VPN, and AES encryption. Every one of these protocols enables authentication, message integrity, and confidentiality via encryption and key trade. Moreover, a lot of these protocols are carried out in the form of diverse hardware and software answers, such as smart playing cards and gateways, to make certain that IoT traffic is secured. With the appropriate implementation of those cryptographic protocols, establishments can ensure that their IoT facts are blanketed and securely transmitted. © 2024 IEEE.

关键词： Authentication Communications Cryptographic EverDeveloping Gadgets Protocols

来源：评论

学校读者我要写书评

暂无评论

An Overview of Information Hiding Techniques Challenges and Applications 7

An Overview of Information Hiding Techniques Challenges and ...

引用

7th International Conference on Future Networks and Distributed Systems, ICFNDS 2023

作者： Kareem, Ali Noori Deheyab, Omar Adil Sameen, Aws Zuhair Alwan, Mohammed Hasan Hammadi, Yousif I Kadhum, Mayssam Saad Aziz, Ahmed Ali, Muthana Ali Salem Bilad Alrafidain University College Diyala32001 Iraq Department Of Medical Instrumentation Engineering Techniques College Of Medical Techniques Al-Farahidi University Baghdad10015 Iraq Department Of Communications Engineering College Of Engineering University Of Diyala Baqubah32001 Iraq Department Of Computer Science Faculty Of Computer And Artificial Intelligence Benha University Egypt Department Of International Business Management Tashkent State University Of Economics Tashkent Uzbekistan Department Of Computer-Aided Design And Engineering Design National University Of Science And Technology 'Misis' Russia

ISBN: (纸本)9798400709036

The internet became a common communication platform for many people. However, information transmission is not secure, and there is a high probability of copying and altering the information easily. In the public network, transmitting sensitive or private information needs some kind of protection. Unless a secure channel is utilized for the transmission. Hiding the information is one of the efficient techniques that provides a solution for transmitting confidential data over communication channels. These techniques should meet various application requirements such as high robustness against attacks, real-time, and high hiding capacity. Generally, information-hiding techniques suffer from many challenges. This paper provides an insight into these techniques, their applications, and challenges to fill the gap of missing such an overview. © 2023 ACM.

关键词： Sensitive data

来源：评论

学校读者我要写书评

暂无评论

Study and Investigation of Tribological Functions of Nano Additive with SAE 40/W20 Oil on EN 19 1

引用

1st International Conference on Advances in Mechanical engineering and Material Science, ICAMEMS 2022

作者： Vinothkumar, A. Ruban, R. Mohit, H. Arpitha, G.R. Department of Mechanical Engineering National Institute of Technology Tamilnadu Tiruchirappalli620015 India Department of Mechanical Engineering Alliance College of Engineering and Design Alliance University Karnataka Bengaluru562106 India Department of Mechanical Engineering Presidency University Karnataka Bengaluru560064 India

ISBN: (数字)9789811906763

ISBN: (纸本)9789811906756

High operating conditions of moving machine components leads various wearing and failure mainly due to friction. Lubricants are widely used to overcome the friction of the components. Poor performance of lubricant plays a significant energy and material losses. Hence the lubricant needs to synthesis for desirable high working conditions. When the Nano particles introduced into the lubricant matrix, it adheres on one of the moving parts and changes sliding friction to rolling friction resulting in reduced friction losses, wear and increased life of bearing. This research focuses on usage of SAE 40/w20 oil as a lubricant with addition of Multi Walled Carbon Nano Tubes (MWCNTs) as Nano particles. Ultrasonic agitator and Pin on Disk apparatus were used for testing of material EN 19. This study concluded that addition of MWCNTs to the lubricating oil results in considerable decreases in friction, wear rate and increases the load carrying capacity of the lubricant. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： MWCNT Nano additive Tribological functions

来源：评论

学校读者我要写书评

暂无评论

EEG-Based Emotion Recognition with EERN Model 9

EEG-Based Emotion Recognition with EERN Model

引用

9th International Conference on Intelligent Computing and Signal Processing, ICSP 2024

作者： Hou, Zhiping Lin, Zitong Zheng, Qinyuan Jiang, Minyao Lin, Zhenduo Zhang, Yanlu Bao, Jianing Beijing Institute of Fashion Technology Beijing Chaoyang China Beijing Institute of Fashion Technology College of materials design & engineering Beijing Chaoyang China Beijing Jiaotong University Department of Computer and Information Technology Beijing Haidian China Beijing Institute of Fashion Technology College of Bushiness Beijing Chaoyang China

ISBN: (纸本)9798350376548

Emotion classification is a key technology in neuroscience and BCI, helping computers to describe and understand emotions. Compared to non-physiological signals such as physical behavior and voice, EEG is a more scientific technology for emotion classification task because of its immutability. With the advancement of Graphics Processing Units(GPU) and artificial intelligence,deep learning algorithms obtain excellent performance for emotion recognition with EEG. In this paper, we propose an Emo-EEGResNet (EERN) model, which consists of an EERN-Data tool for original data generation, an EERN-DE for feature extraction, and an EERN-net based on Res-net for emotion classification. Compared to SVM, Logistic Regression, Decision Tree and CNN, the EERN model has better performance with strong robustness in emotion recognition. The classification accuracy of these four algorithms are 74.75%, 76.01 %, 63.08%, 83% respectively in SEED datasets, while EERN is 93.4 %. The results prove that EERN is better suited for emotion recognition than several of the comparative methods. © 2024 IEEE.

关键词： Emotion Recognition

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：