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检索条件"任意字段=3rd IEEE Intelligent Data Acquisition and Advanced Computing Systems"

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A WSN-Based, intelligent Medical IoT systems Integrating Computer Vision Platform 3

A WSN-Based, Intelligent Medical IoT Systems Integrating Com...

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

作者： Singh, Charanjeet Bhavani, G. Lakshmi Maginmani, Umme Habiba Singh, Rajesh Kumar, A Suresh Rebelli, Shashank Deenbandhu Chhotu Ram University of Science and Technology Electronics and Communication Department India KG Reddy College of Engineering and Technology Electronics and Communication Engineering India SECAB Institute of Engineering and Technology Department of Computer Science and Engineering Vijayapur Karnataka India Uttaranchal University India Uttaranchal Institute of Technology India Graphic Era Deemed to Be University Department of CSE India SR University Department of ECE Warangal Telangana State India

ISBN: (纸本)9798350399264

As wireless connectivity technology advanced, wireless sensor technologies also became more frequently used in many societal sectors. This research introduces wireless sensors to the world of health care systems, and we present a sensor network-based medical imaging. Through the communication system, it may send the participant's physiological data as well as pictures to the healthcare monitoring ground station, allowing for continuous pathologic growth tracking and prompt treatment diagnosis. We discussed the use of remote sensing techniques in the remote health care surveillance system and expanded on the ideas for its implementation on the theory of sensor networks, present circumstances, and trends in China's medical care. The design of a network infrastructure, the OS with the interposes communication, as well as the software are the challenges of a wireless sensor network. Our suggested framework is capable of handling the issues in an acceptable manner. To evaluate the overall effectiveness of the model, the suggested approach is contrasted with other recent methods. © 2023 ieee.

关键词： Internet of things

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An intelligent and Dynamic Replication Scheme for Reliable Cloud Environment 3

An Intelligent and Dynamic Replication Scheme for Reliable C...

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3rd International Conference on Integrated Circuits and Communication systems, ICICACS 2025

作者： Damodhar, M. Rao, Ch.D.V. Subba Sri Venkateswara University College of Engineering Department of Computer Science and Engineering Tirupati India

ISBN: (纸本)9798331508456

Recently, cloud computing research, especially Virtual Machine based replication schemes and their applications, were becoming prevalent. A cloud data center (DC) comprises of hosts with an enormous of virtual machines (VMs) where determining replica quantity and replication order is a tedious task to minimize cost and bandwidth. Majority of the existing dynamic replication techniques rely on budget constraints and server failure rate to guarantee customer requirements. But, there is a strong need to determine replication order of servers to retain the performance and system stability. In this paper, we suggest two different algorithms for better selection with proper and intelligent placement of replicas in the cloud region. The proposed algorithms towards dynamic replication are request based replica selection (RRS) and ant colony optimization (ACO). The foremost proposed algorithm was request based replica selection used for obtaining the best selected replicas depends upon the VM performance ranking and failure probability based on the task requirement. Conversely, the subsequent offered algorithm is ACO that is helpful to find the best location to place the designated replica depends on the least-cost distance metric, and the replicas availability in order to encompass and regulate with the entire network load and the link bottlenecks. The performance of proposed techniques using CloudSim was evaluated against various pro-active fault tolerance strategies. The simulation results gives that dynamic replica selection provides efficient task replication when compared with the existing pro-active algorithms. Additionally, ACO realizes high availability, low cost, and less bandwidth utilization. © 2025 ieee.

关键词： Ant colony optimization

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A Critical Analysis of Applying Computer Vision In Building an intelligent System 3

A Critical Analysis of Applying Computer Vision In Building ...

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

作者： Ballari, Syed Omar Srinivas, Angalkuditi Gupta, Manish Dhobal, Kiran Akabarkhan, Pathan Shahnavajkhan Reddy, Dasari Veera Guru Nanak Institutions Technical Campus Department of Civil Engineering Telangana Ibrahimpatnam501506 India Koneru Lakshmaiah Education Foundation Department of CSE India Lovely Professional University Phagwara India Uttaranchal University Uttaranchal Institute of Technology India Sankalchand Patel University Shri C.J. Patel College of Computer Studies Faculty of Computer Science India SR University School of Computer Science and Artificial Intelligence Telangana Warangal India

ISBN: (纸本)9798350399264

The terminology "computer vision"refers to the method that leverages technologies of intelligent systems such as artificial intelligence (AI) to enable computers to gather useful information from visual sources. The automated activities are demonstrated previously using computer vision understanding. The definition, examples, as well as uses of computer vision, are covered in this article. For computer vision to be totally successful there must be a huge collection. When they lack the knowledge required to execute the task at hand, these systems periodically discover trends, which cause this to occur. Hence, the research has evaluated the notion of computer vision in diverse fields of operations through the literature review as well as in the analysis and discussion portion of the study. Since the literature review and data analysis of the research is done through secondary sources, an imperative notion of review has been gathered and presented. Therefore, the significance of computer vision in assembling intelligent systems like AI and other new technologies has given discussed in the research. © 2023 ieee.

关键词： intelligent systems

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Smart Design Module Optimization of intelligent Instruments Considering Cloud Storage 3

Smart Design Module Optimization of Intelligent Instruments ...

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3rd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2023

作者： Liu, Huijie Chongqing Research Institute China Coal Technology and Engineering Group Chongqing400039 China

ISBN: (纸本)9781665462167

With the recent continuous development of the computer, digital communication and also control the digital communication and control technologies, there are many fieldbus instruments and devices based on embedded systems, the efficient and fast design will be essential. This article analyzes the smart design module optimization of the intelligent instruments by considering the cloud storage. The designed model has 2 focuses, namely, the efficient data storage and intelligent instruments design. For the data storage, the local+cloud scenario is considered, the developed solution supports the flexible collocation of the computing resources and the various storage resources through decoupling of computing resources and storage resources. For the instruments design, the HART protocol is the transitional protocol for the transition from general analog communication to the digital communication. And this is used for the design, it is found that the control system designed in this paper system is shorter than the traditional control system, effectively saving the control time of industrial automation instrumentation. Through the test, this study found that the designed control system is superior to the traditional control system in terms of reaction time, which means the designed idea is efficient. © 2023 ieee.

关键词： Cloud storage

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A Review of Signature Schemes for Enhanced Information Retrieval and Privacy in Blockchain systems 3

A Review of Signature Schemes for Enhanced Information Retri...

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3rd International Conference on intelligent systems, advanced computing, and Communication, ISACC 2025

作者： Sheikh, Mustak Kalita, Chandan Gauhati University Department of Information Technology Guwahati India

ISBN: (纸本)9798331523893

Blockchain technology has revolutionised data sharing and storage by offering decentralised, impenetrable solutions in a variety of fields. But because of its intrinsic transparency, there are serious privacy issues, especially when handling sensitive data. To improve information retrieval and protect user privacy in blockchain systems, this paper offers a thorough analysis of many cryptographic signature algorithms. It looks at the advantages and disadvantages of current strategies, highlights important obstacles, and talks about possible fixes to privacy issues. This paper also provides a comparative evaluation of related works according to criteria like security, scalability, and efficiency. The knowledge acquired aids in the creation of privacy-protecting techniques that maximise data retrieval in blockchain-based applications. © 2025 ieee.

关键词： Image retrieval

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A K-means Algorithm for Higher Education Quality Assessment System 3

A K-means Algorithm for Higher Education Quality Assessment ...

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3rd International Conference on intelligent computing, Communication and Convergence, ICI3C 2023

作者： Yuan, Shuwen Anhui Open University Anhui Hefei230000 China

ISBN: (纸本)9798350343922

The higher education quality assessment system is designed to evaluate and improve the standards of tertiary education through a set of criteria that reflect the academic, operational, and societal outcomes of institutions in the context of global educational competitiveness. The higher education quality assessment system has serious errors rate and inefficiency. This article uses the K-means algorithm to establish a high-level educational evaluation system, and finally draws conclusions through experiments. This algorithm greatly reduces the error rate and greatly improves the efficiency of highly educational evaluation systems. © 2023 ieee.

关键词： data quality

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Design and implementation of carrier aggregation and secure communication in distribution field network 3

Design and implementation of carrier aggregation and secure ...

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3rd International Conference on Consumer Electronics and Computer Engineering, ICCECE 2023

作者： Huo, Chao Gong, Yi Ding, Xiao Zheng, Libin Beijing Smart Chip Microelectronics Technology Company Limited Department of Intelligent Power Distribution Beijing China

ISBN: (纸本)9798350331578

The communication network in the distribution station area has many pain points and difficult problems, such as a wide range of points, a large number of equipment, a large amount of data, and slow response speed. Improving the field network performance and communication security reliability is an urgent problem to be solved in the construction of the power distribution Internet of Things. In this paper, a new algorithm of power line carrier and wireless communication carrier aggregation is designed, which mainly includes subcarrier optimization calculation, carrier aggregation based on clustering, carrier aggregation update, etc. The combination of subcarrier reliability optimization and network clustering is used for carrier aggregation of power line carrier and wireless integrated communication. At the same time, a field area network security communication method based on the combination of Physical Unclonable Function (PUF) message security encryption and relay node security verification is proposed to improve the security and reliability of power equipment body area network deployment. The test results show that the method proposed in this paper can give consideration to both the acquisition success rate and the acquisition security, and has the promotion value. © 2023 ieee.

关键词： Electric power distribution

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Lip-Synchronized 3D Facial Animation Using Audio-Driven Graph Convolutional Autoencoder 12

Lip-Synchronized 3D Facial Animation Using Audio-Driven Grap...

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12th ieee International Conference on intelligent data acquisition and advanced computing systems: Technology and Applications, IDAACS 2023

作者： Bozhilov, Ivaylo Tonchev, Krasimir Neshov, Nikolay Manolova, Agata Technical University of Sofia Faculty of Telecommunications Bulgaria

ISBN: (纸本)9798350358056

The majority of state-of-the-art audio-driven facial animation methods implement a differentiable rendering phase within their models, and as such, their output is a 2D raster image. However, existing development pipelines for MR (Mixed Reality) applications utilize platform-specific render engines optimized for specific HMDs (Head-mounted displays), which in turn necessitates the use of a technique that works directly on the facial mesh geometry. This work proposes an innovative lip-synchronized, audio-driven 3D face animation method utilizing a graph convolutional autoencoder that learns detailed facial deformations of a talking subject while generating a compact latent representation of the 3D model. The representation is later conditioned with the processed audio data to achieve synchronized lip and jaw movement while retaining the subject's facial features. The audio processing involves the extraction of semantic features, which strongly correlate with facial deformation and expression. Qualitative and quantitative experiments exhibit the method's potential usage in MR applications, as well as shed light on some of the disadvantages of the current approaches. © 2023 ieee.

关键词： Facial animation Graph convolutional neural networks Holographic communication Mixed Reality Talking head

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Exploring Student Performance Patterns Using Tree-Based Techniques 3

Exploring Student Performance Patterns Using Tree-Based Tech...

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3rd International Conference on Smart Cities, Automation and intelligent computing systems, ICON-SONICS 2023

作者： Kurniadi, Felix Indra Dewi, Meta Amalya Murad, Dina Fitria Rabiha, Sucianna Ghadati Romli, Awanis Bina Nusantara University School of Computer Science Computer Science Department Jakarta11530 Indonesia Bina Nusantara University BINUS Online Learning Information Systems Department Jakarta11480 Indonesia Faculty of Computing Universiti Malaysia Pahang Pahang26600 Malaysia

ISBN: (纸本)9781509062805

Due to its direct impact on the development and progress of nations, predicting student performance has acquired considerable importance in modern society. The evaluation of student performance measures the effectiveness of educational institutions and their capacity to influence the next generation. As a result, enhancing the educational process has become a necessity, compelling governments and institutions to devote significant resources to its ongoing development. Based on the Student Grade data obtained from the Binus Online Learning platform at Bina Nusantara University, this study analyzes and predicts student performance using tree-based methods, specifically Decision Tree and Random Forest. The dataset includes pupil information and variables pertaining to performance. By contrasting the performance of these tree-based models, it is possible to gain insight into their accuracy and efficacy in predicting student outcomes. The experimental results demonstrate that both the Decision Tree and Random Forest models predict student performance with high accuracy. These results demonstrate the potential of tree-based methods in educational data analysis and prediction, providing educators, administrators, and policymakers with valuable insights for identifying at-risk students and implementing timely interventions to enhance educational outcomes. © 2023 ieee.

关键词： Decision trees

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IoT-Driven intelligent Trash Bin (IntelliBIN) Enabled with Edge Segregation for Malls 3

IoT-Driven Intelligent Trash Bin (IntelliBIN) Enabled with E...

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3rd International Conference on Artificial Intelligence For Internet of Things, AIIoT 2024

作者： Reddy, D HarshaVardhan Gupta, T Subhash Reddy, C Gowthami Vishnu, S. Vishnuvarthan, R. Darshan, B Sree Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798350372120

Urban waste management, especially from commercial sources like shopping malls, presents a significant challenge. A large amount of packaging waste generated by retail outlets and food courts complicates the waste management process. The current method of segregating waste at centralized facilities leads to time-consuming processes, increased transportation costs, and increased labor demands. In response, this work proposes an innovative solution: an IoT-Driven intelligent Trash Bin with Edge Segregation for shopping malls. By deploying a deep learning model on a Raspberry Pi board, waste segregation is optimized at the edge, reducing latency and improving efficiency. The system includes an intelligent bin named IntelliBIN, featuring four compartments, and utilizes the proposed deep learning model to analyze and segregate the wastes into paper, metal, food, and others via a servo mechanism. In addition, the bin is equipped with ultrasonic sensors to monitor the filled levels of each compartments and a Wi-Fi radio device to enable real-time data transmission and monitoring. The statistical data of waste disposal is presented, and automated notifications are sent to the mall management to take appropriate action. The system assures effective waste segregation and management with the proposed model by achieving a training accuracy of 94%, and it outperforms some of the existing works such as VGG 19 (92%), ResNet (93%), and Inception Net (87%). © 2024 ieee.

关键词： Deep learning

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