检索结果-内蒙古大学图书馆

11th International Conference on Reliability, Infocom Technologies and Optimization, ICRITO 2024

作者： Ohri, Pulkit Neogi, Subhrendu Guha Sengupta, Somenath Arockiam, Daniel Muttoo, Sunil Kumar Amity University Computer Science and Engineering Department Madhya Pradesh Gwalior India The Neotia University Computer Science and Engineering Department West Bengal Sarisha India Heritage Institute of Technology Computer Science and Engineering Department West Bengal Kolkata India University of Delhi Computer Science and Engineering Department New Delhi India

ISBN: (纸本)9798350350357

In the realm of network management, the integration of Software-Defined Networking (SDN) with blockchain-based smart contracts is an emerging frontier with significant potential to enhance inter-domain communications. This paper presents an in-depth analysis of the application of smart contracts within SDN, particularly focusing on the automation and security of inter-domain interactions. Smart contracts, characterized by their immutable and autonomous nature, offer a novel approach to enforcing network policies and agreements across different SDN domains seamlessly. We explore the inherent benefits of this integration, including enhanced security through the tamper-proof nature of blockchain, and the efficiency gains achieved by automating network policy enforcement. The paper also addresses critical challenges such as scalability, interoperability, and the complexity of smart contract development within the SDN context. Through a combination of theoretical analysis and practical case studies, this research illuminates the transformative potential of smart contracts in SDN, paving the way for more secure, efficient, and self-regulating network environments. The findings and discussions in this paper aim to contribute to the ongoing evolution of SDN, particularly in scenarios where multiple administrative domains necessitate robust, automated, and secure communication frameworks. © 2024 IEEE.

关键词： Smart contract

来源：评论

学校读者我要写书评

暂无评论

A task clustering based QoS aware scheduling algorithm for task execution in cloud-Iot model for education services

引用

Multimedia Tools and Applications 2023年第29期82卷 44783-44800页

作者： Chowdhary, Sunil Kumar Rao, A.L.N. Faculty of Computer Science and Engineering Dr. A P J Abdul Kalam Technical University Uttar Pradesh Lucknow India Department of Computer Science and Engineering G.L. Bajaj Institute of Technology and Management Noida India

Some of the conventional approaches to task scheduling are discussed in this section. The scheduling of tasks in the Internet of Things (IoT) application is a complex job in cloud computing due to the heterogeneity characteristics of the IoT. Therefore, an efficient scheduling approach is vital in improving the performance of the Cloud-IoT applications. The improvement in QoS mainly depends on efficient task scheduling and allocating the task to the appropriate Virtual Machine (VM). This paper uses a clustering-based approach to design an optimal solution for task scheduling and VM allocation for IoT applications in education services. The workflow is simplified with horizontal and vertical clustering, and VM is allocated. The task is classified into coarse and fine-grained, based on the average execution time of the total number of tasks. The average execution time is calculated based on the best and worst performance of VM. The vertical clustering approach clusters the tasks into sequential and parallel, thereby turning the huge volume of tasks into simple ones. The horizontal clustering approach selects the VM with the help of a bipartite matching graph which enhances the Quality of Service (QoS). The proposed task clustering has been evaluated in metrics like makespan, response time, throughput, total execution time, task completion time, and VM utilization. The proposed approach achieved a makespan of 2500 ms and throughput of 83 Mbps for 100 tasks, a response time of 0.12 ms, a total execution time of 640 ms, and a total task completion time of 340,000 ms for a 2 arrival rate based on performance evaluation results. © 2023, The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature.

关键词： Quality of service

来源：评论

学校读者我要写书评

暂无评论

Revolutionizing Education through Holistic Application of technology: A Blockchain-Powered Framework for Smart Learning

Revolutionizing Education through Holistic Application of Te...

引用

2024 International Conference on Smart Devices, ICSD 2024

作者： Verma, Rohan Singh, Kiran Deep Singh, Prabh Deep Maurya, Sudhanshu Nerkar, Sanskruti Thapliyal, Nitin Department of Computer Science and Engineering Dehradun India Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura India Symbiosis Institute of Technology Nagpur Campus Pune India Graphic Era Hill University Department of Computer Science & Engineering Dehradun India

ISBN: (纸本)9798350394412

The convergence of blockchain technology and education has ushered in a new era of innovation and transformation in the field of learning. This paper presents a comprehensive framework for integrating blockchain into the educational landscape, offering a blueprint for developing a more secure, transparent, and efficient smart education ecosystem. The framework encompasses key aspects such as identity management, content sharing, student records, micro-credentials, financial transactions, governance, data privacy, interoperability, user interfaces, and scalability. By exploring the potential benefits and challenges of blockchain adoption in education, this research paper seeks to inspire educators, institutions, and policymakers to embark on a journey toward a blockchain-enabled smart education future. As the world witnesses the growing importance of lifelong learning and digital credentials, this framework paves the way for a more accessible, equitable, and globally recognized education system poised to meet the evolving needs of learners in the 21st century. © 2024 IEEE.

关键词： Federated learning

来源：评论

学校读者我要写书评

暂无评论

Optimizing Resource Allocation for Energy Efficiency in Fog Cloud Computing Environments 13

Optimizing Resource Allocation for Energy Efficiency in Fog ...

引用

13th IEEE International Conference on Communication Systems and Network Technologies, CSNT 2024

作者： Kaur, Mandeep Aron, Rajni Seth, Shriya Chitkara University Punjab Department of Computer Science and Engineering India Nmims University Mpstme Mumbai India Chitkara University Institute of Engineering and Technology Chitkara University Punjab Department of Computer Science and Engineering India

ISBN: (纸本)9798350305463

Fog computing has become the primary computing paradigm for IoT applications as it meets the low-latency needs of the growing number of IoT applications. However, the servers can get overwhelmed due to the high demand for fog resources in several IoT applications. Fog computing complements cloud computing, as it only processes user requests near them. Distributing tasks evenly across all nodes in the fog layer helps achieve optimal task processing. Load balancing in the fog-cloud computing environment aids in diminishing energy use. In this article, fog computing architecture named 'EcoFogLoad Architecture' has been proposed to balance the workload among the fog layer. Along with this, the 'Energy-Efficient Workload Optimization (EEWO)' algorithm has been proposed to optimize the use of resources at fog layer in terms of cost, time delay and energy consumption. iFogSim has been used to execute the proposed algorithm and obtain the experimental results. The results of the proposed approach are compared with those of other existing algorithms. Load balancing at the fog layer facilitates optimal resource utilization, reducing latency and improving service quality. The article concludes by presenting potential avenues for future research. © 2024 IEEE.

关键词： Fog

来源：评论

学校读者我要写书评

暂无评论

A Survey on Gene Classification Based on DNA Sequence 6th

A Survey on Gene Classification Based on DNA Sequence

引用

6th International Conference on Intelligent Sustainable Systems, ICISS 2023

作者： Kiranmayee, B.V. Suresh, Chalumuru Sneha, K. Karthik, L. K. Srinivas Niharika, P. Rohan, P. Sai Department of Computer Science and Engineering VNR Vignana Jyothi Institute of Engineering and Technology Hyderabad India

ISBN: (纸本)9789819917259

In the field of genomics, a DNA sequence determines the specific order of the nucleotides Adenine (A), Thymine (T), Guanine (G) and Cytosine (C) in a gene. This gene classification will be useful for the researchers in the field of Bioinformatics to learn the spatial structure and functions of a protein by which they can make the necessary drug design. The length of these DNA sequences is very long (hundreds of megabytes) and processing them requires a significant amount of data storage and high-performance hardware and software for statistical analysis. In this work we have analysed various existing research works and presented around 20 papers related to classification of DNA sequence using different approaches. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： DNA sequences

来源：评论

学校读者我要写书评

暂无评论

Enhancing Low-Dose CT Imaging Reconstruction through Fusion of MLEM and Deep Convolutional Neural Network Priors 7

Enhancing Low-Dose CT Imaging Reconstruction through Fusion ...

引用

7th International Conference on Image Information Processing, ICIIP 2023

作者： Gothwal, Ritu Tiwari, Shailendra Shivani, Shivendra Thapar Institute of Engineering And Technology Computer Science And Engineering Department Punjab Patiala147004 India

ISBN: (纸本)9798350371406

The process of reconstructing low-dose CT imaging involves dealing with noisy data, which is characterized as an ill-posed inverse problem. Traditional methods like iterative reconstruction rely on manually designed priors. Recently, deep learning-based CT image reconstruction techniques have gained importance in filed of CT image reconstruction, but deep learning techniques face limitations due to the substantial data requirements for training and testing purposes. Our research exploit the efficiency of deep Convolutional Neural Networks (Deep CNNs) in identifying meaningful patterns amidst noise. We propose an iterative reconstruction approach for low-dose CT using the Maximum Likelihood Expectation Maximization (MLEM) algorithm, enhanced by a Deep Neural Network acting as a prior. The proposed technique demonstrates improved performance when compared to traditional methods i.e. Maximum Likelihood Expectation Maximization (MLEM), Simultaneous Algebraic Reconstruction Technique (SART), and SART+TV (Total Variation). © 2023 IEEE.

关键词： Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Supremal and Robust Control against Actuator Jamming Attacks in Cyber-Physical Systems

IEEE Transactions on Intelligent Vehicles

引用

IEEE Transactions on Intelligent Vehicles 2023年第9期9卷 1-13页

作者： Duo, Wenli Wang, Shouguang Zhou, MengChu You, Dan Wisniewski, Remigiusz Bazydlo, Grzegorz Albeshri, Aiiad Institute of Systems Engineering Macau University of Science and Technology Macau China School of Information and Electronic Engineering Zhejiang Gongshang University Hangzhou China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA Institute of Control and Computation Engineering University of Zielona Góra Zielona Góra Poland Department of Computer Science King Abdulaziz University Jeddah Saudi Arabia

Cyber-physical systems, such as unmanned aerial vehicles and connected and autonomous vehicles, are vulnerable to cyber attacks, which can cause significant damage to society. This paper examines the attack issue in cyber-physical systems within the framework of discrete event systems. Specifically, we consider a scenario where a malicious intruder injects a jamming signal into an actuator channel. It disrupts the transmission of control commands and prevents an actuator from receiving them. This is termed an actuator jamming attack. In the paper, we first analyze the closed-loop system behavior under such an attack. An attack structure is constructed to illustrate how an intruder exploits a jamming attack to drive a system into unsafe states. Then, we study the supervisory control problem for a system exposed to such an attack. The problem is reduced to a basic supervisory control one in discrete event systems by introducing the concept of dynamically controllable language. A solution to this problem is explored, where we establish an existence condition for a supremal and robust supervisor that is capable of defending against actuator jamming attacks, and design an algorithm to derive it. Finally, the effectiveness of our method is illustrated by an intelligent automated guided vehicle system. IEEE

关键词： Discrete event simulation

来源：评论

学校读者我要写书评

暂无评论

Novel Anchor Generation Based Residual Network for Object Tracking in Video-Surveillance Applications

引用

SN computer science 2025年第2期6卷 1-12页

作者： Mohanapriya, D. Rajalakshmi, K. Helen Josephine, V.L. Panneerselvam, Karthick Department of Computer Science (SF) Sourasthra College Tamil Nadu Madurai India Department of Computer Applications CMR Institute of Technology Karnataka Bangalore India Business Analytics School of Business and Management Christ University Karnataka Bangalore India Department of Computer Science and Engineering KPR Institute of Engineering and Technology Tamilnadu Uthupalayam 641407 India

The activity of the object in question is alerted directly upon completion of an effective object tracking. Dependent on hardware support or not, a strong object tracking protocol is required for a precise object tracking application. According to these methods, tracking an object accurately within a predetermined processing time window required a significant amount of computer complexity. In contrast, a variety of quality-degrading elements, including occlusion, shifting lighting, shadows, and so on, have an adverse effect on tracking. All of these tracking shortcomings will be fixed by a revolutionary residual network based on loss operator and anchor creation. Detection of object has concerns that rely on the process of feature extraction to afford efficient quality. For this purpose a model called ResNet has been used that comprises thirty layers and hence named as Resnet-thirty. These networks are a type of Convolutional Neural Network (CNN) that contain residual connections among various layers. The various merits of these connections is the network has the capability to learn the features of global, local and intermediate in parallel. As such, the system is robust against changes in lighting. These variations in light were understood in terms of tracking objects within a changing background. The proposed work uses MOT datasets. This dataset comprises of MOT 15, MOT16, MOT17 and MOT20. The results have been found by using these datasets. Hence, it evidently outperforms in terms of precision, recall, MOTA, IDF, MOTP, SAIDF and F1 measure to track the objects. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2025.

关键词： computer vision Loss operator Object tracking Residual network

来源：评论

学校读者我要写书评

暂无评论

MahitiBandhu: A Solar-Powered Information Kiosk System for Rural Community Empowerment

MahitiBandhu: A Solar-Powered Information Kiosk System for R...

引用

2024 IEEE International Conference on Information technology, Electronics and Intelligent Communication Systems, ICITEICS 2024

作者： Arakeri, Megha P. Lakshmana Jain, Ayush Hemachandra, G. Mohan Gowda, V. Manipal Institute of Technology Bengaluru Manipal Academy of Higher Education Department of Computer Science and Engineering Manipal India Seamovations Labs Pvt. Ltd Bangalore India Ramaiah Institute of Technology Department of Information Science and Engineering Bangalore India Ramaiah Institute of Technology Department of Electrical and Electronics Engineering Bangalore India Gitam School of Technology Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798350382693

A major portion of Karnataka's population lives in rural areas. Most of the rural people are illiterate and poor due to lack of proper services and infrastructure. There are various rural development schemes run by the government of Karnataka/India for the benefit of villagers. However, most people in the villages of Karnataka are unaware of these schemes due to lack of education, poverty, inaccessibility, and lack of technological knowledge. Hence, the government is trying to render services and information to the public using ICT tools. While there are few examples of achievements of ICT in rural development, there are many failures due to lack of connectivity, bandwidth, language problems, and power supply. Also, Gram Panchayat of the village does not have proper facilities to give widespread publicity about government services and many people do not have smartphones to access information online. Thus, this paper focuses on the development of a solar-powered interactive touch-screen based kiosk system for the rural region. This single system can provide information about all rural schemes for education, agriculture, healthcare, and employment. It also gives information on other services like banking, vaccination drives, and fertilizers for farmers. This is an end-to-end user application with a text-free user interface and interacts based on audio, video, and image display irrespective of the user's literacy level. © 2024 IEEE.

关键词： Touch screens

来源：评论

学校读者我要写书评

暂无评论

Multilayer Neural Network Based Speech Emotion Recognition for Smart Assistance

引用

computers, Materials & Continua 2023年第1期74卷 1523-1540页

作者： Sandeep Kumar MohdAnul Haq Arpit Jain C.Andy Jason Nageswara Rao Moparthi Nitin Mittal Zamil S.Alzamil Department of Computer Science and Engineering Koneru Lakshmaiah Education FoundationVaddeswaramAP522502India Department of Computer Science College of Computer and Information SciencesMajmaah University11952Al-MajmaahSaudi Arabia Department of Computer Science and Engineering Teerthanker Mahaveer UniversityMoradabadUttar Pradesh244001India Department of Electronics and Communication Engineering Sreyas Institute of Engineering and TechnologyHyderabad500068India University Centre for Research and Development Chandigarh UniversityMohali140413PunjabIndia

Day by day,biometric-based systems play a vital role in our daily *** paper proposed an intelligent assistant intended to identify emotions via voice message.A biometric system has been developed to detect human emotions based on voice recognition and control a few electronic peripherals for alert *** proposed smart assistant aims to provide a support to the people through buzzer and light emitting diodes(LED)alert signals and it also keep track of the places like households,hospitals and remote areas,*** proposed approach is able to detect seven emotions:worry,surprise,neutral,sadness,happiness,hate and *** key elements for the implementation of speech emotion recognition are voice processing,and once the emotion is recognized,the machine interface automatically detects the actions by buzzer and *** proposed system is trained and tested on various benchmark datasets,i.e.,Ryerson Audio-Visual Database of Emotional Speech and Song(RAVDESS)database,Acoustic-Phonetic Continuous Speech Corpus(TIMIT)database,Emotional Speech database(Emo-DB)database and evaluated based on various parameters,i.e.,accuracy,error rate,and *** comparing with existing technologies,the proposed algorithm gave a better error rate and less *** rate and time is decreased by 19.79%,5.13 *** the RAVDEES dataset,15.77%,0.01 s for the Emo-DB dataset and 14.88%,3.62 for the TIMIT *** proposed model shows better accuracy of 81.02%for the RAVDEES dataset,84.23%for the TIMIT dataset and 85.12%for the Emo-DB dataset compared to Gaussian Mixture Modeling(GMM)and Support Vector Machine(SVM)Model.

关键词： Speech emotion recognition classifier implementation feature extraction and selection smart assistance

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：