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2nd IEEE International Conference on Futuristic Technologies, INCOFT 2023

作者： Mahesh, T.R. Krishna, Meena Department of Computer Science Engineering Bangalore India Isdi - School of Design & Innovation Atlas Skill Tech University Maharashtra Mumbai India

ISBN: (纸本)9798350308846

Self-supervised transfer mastering for clinical picture analysis is a method that uses deep getting-to-know procedures to research large units of medical imaging facts without using guide labels. By way of using switch getting to know, the version can come across diffused patterns from the facts that are not easily located with the aid of the medical doctors or researchers. This method can diffuse clinical imaging packages consisting of type, segmentation, and item detection. The self-supervised transfer studying technique involves educating an artificial intelligence (AI) model on a set of scientific picas with available labels. The version is then tested on a set of clinical pix that have not been visible before, and the AI version then adjusts its parameters to come across styles and functions that the labels may have neglected. The advantage of the use of self-supervised transfer getting to know for medical image analysis is that it gets rid of the need to spend time creating labels for the photos and, as a substitute, allows the model to study themselves. Further, the model can detect small capabilities and patterns that may be ignored through manual labeling, leading to more excellent correct outcomes... © 2023 IEEE.

关键词： classification medical Performance present supervised

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Assessing the Impact of Multipath Propagation on Electromagnetic Compatibility of Network Nodes 2

Assessing the Impact of Multipath Propagation on Electromagn...

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2nd IEEE International Conference on Futuristic Technologies, INCOFT 2023

作者： Gadug, S. Deshpande, Bhargavi Department of Computer Science Engineering Bangalore India Isdi - School of Design & Innovation Atlas Skill Tech University Maharashtra Mumbai India

ISBN: (纸本)9798350308846

this paper aims to assess the impact of multipath propagation on electromagnetic compatibility (EMC) of community nodes, such as an analysis of the layout issues and radiation characteristics of the device. A multipath propagation-based version for evaluating the radiated emission from devices in a community environment is also hooked up. This model is then used to calculate the radiation disturbance potential (RDP) as a metric to compare the impact of various kinds of propagation on EMC. The effects display that a larger quantity of multipath can bring about a reduction or even removal of the EMC problem through lowering the RDP. The examination additionally highlights the significance of considering multipath propagation while designing the EMC of community notes to ensure the most advantageous performance. This paper evaluates the impact of multipath propagation on the Electromagnetic Compatibility (EMC) of community nodes. A model-based analysis of the impact of multipath propagation at the EMC of Wi-Fi and wired nodes is provided. It consists of a theoretical analysis of multipath propagation, accompanied by a simulation to quantify its results on community nodes. Moreover, this paper provides techniques to enhance the areas of multipath EMC, such as receiver designs, antenna structures, and multipath mitigation algorithms. Sooner or later, experiments are carried out to measure the propagation traits in actual-global surroundings to determine the impact of multipath at the EMC of networks... © 2023 IEEE.

关键词： Electromagnetic impact multipath networks provided

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Investigating Broadcast-Free Opportunistic Network Coding Algorithms with Wireless Systems 2

Investigating Broadcast-Free Opportunistic Network Coding Al...

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2nd IEEE International Conference on Futuristic Technologies, INCOFT 2023

作者： Kumar, Gaurav Krishna, Meena Department of Computer Science Engineering Bangalore India Isdi - School of Design & Innovation Atlas Skill Tech University Maharashtra Mumbai India

ISBN: (纸本)9798350308846

This paper investigates broadcast-free opportunistic community coding (OFNC) algorithms for Wi-Fi systems. OFNC combines the switch of facts among or more devices with more green transmission of information within the network. It uses a random mixture of packets to create new packets, and then sends the ones new packets back to the sender. By creating more than one copies of the identical statistics, network congestion is reduced and extra green transmission is accomplished. The paper explores how OFNC algorithms can be used in one-of-a-kind wireless applications and evaluates their overall performance via a test performed in a realistic situation. The experiment highlights the benefits of the usage of OFNC and provides insight into how OFNC algorithms can be similarly optimized for Wi-Fi systems. © 2023 IEEE.

关键词： copies packets reduced similarly wireless

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GIRP: Energy-Efficient QoS-Oriented Microservice Resource Provisioning via Multi-Objective Multi-Task Reinforcement Learning

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IEEE Transactions on Mobile Computing 2025年第7期24卷 5793-5807页

作者： Yuan, Honggang Wang, Ting Fu, Min Shi, Yuanming East China Normal University MoE Engineering Research Center of Software/Hardware Co-design Technology and Application Shanghai Key Laboratory of Trustworthy Computing Shanghai200062 China National University of Singapore Department of Electrical and Computer Engineering 117583 Singapore ShanghaiTech University School of Information Science and Technology Shanghai201210 China

Microservice architecture has revolutionized web service development by facilitating loosely coupled and independently developable components distributed as containers or virtual machines. While existing studies emphasize end-to-end latency, this paper investigates energy-efficient quality-of-service (QoS)-oriented microservice provisioning, focusing on both QoS satisfaction and power consumption (PC) conservation. We propose the Green and Intelligent Resource Provision (GIRP) architecture, integrating a data-driven energy-latency-aware resource allocation and scheduling manager to balance latency and PC. To reconcile the trade-offs involved, a dual-objective optimization problem is formulated to minimize latency and energy use by selecting proper servers, allocating CPU cores, and determining service replicas. To address challenges with discrete variables, dual objectives, and implicit mappings, we leverage a model-free deep deterministic policy gradient-based reinforcement learning algorithm. Specifically, we develop a multi-task agent via the Multi-gate Mixture-of-Experts model to simultaneously make two separate actions regarding CPU core numbers and service replica numbers, followed by a single-task agent to determine service scheduling. Extensive experiments on the DeathStarBenchmark testbed validate GIRP's effectiveness, demonstrating approximately 52% resource savings and a 43% reduction in PC compared to leading methods like Sinan, Firm, and heuristic-based algorithms. These results highlight GIRP's capability to optimize microservice orchestration by balancing end-to-end latency and power efficiency. © 2025 IEEE. All rights reserved.

关键词： Quality of service

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Spotlight Tweets: A Lens for Exploring Attention Dynamics within Online Sensemaking During Crisis Events

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ACM Transactions on Social Computing 2023年第1-2期6卷 1-33页

作者： Zhou, Kaitlyn Wilson, Tom Starbird, Kate Spiro, Emma S. Computer Science Stanford University StanfordCA United States Human Centered Design and Engineering University of Washington United States Center for An Informed Public Human Centered Design and Engineering University of Washington United States Center for An Informed Public The Information School University of Washington United States

In this article, we introduce the concept of a spotlight social media post - a post that receives an unexpected burst of attention - and explore how such posts reveal salient aspects of online collective sensemaking and attention dynamics during a crisis event. Specifically, we examine the online conversation surrounding a false missile alert in Hawaii in January 2018. Through a mixed-methods analysis and visualizations, our research uncovers mechanisms that lead to rapid attention gains, such as spotlighting - when a user with existing influence confers attention by sharing others' content with their audience. We highlight how spotlight social media posts (specifically spotlight tweets) are distinct from other heavily shared content and that they offer insight into previously overlooked patterns in information exchange. We additionally reveal that attention dynamics may alter the social position of spotlight post authors immediately afterward (and possibly in the long term). We argue that spotlight social media posts offer a productive window for understanding online collective sensemaking, and we discuss how this can inform social media platform design and serve as a basis of future research. © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Dynamics

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Who wants to grow old in Welfare Sweden? 9

Who wants to grow old in Welfare Sweden?

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9th European Conference on Social Media, ECSM 2022

作者： Maric, Jasmina Interaction Design Department of Computer Science and Engineering Chalmers University of Technology Gothenburg Sweden

ISBN: (纸本)9781713855682

The research presented in this paper focuses on social media usage, specifically Facebook, in times of the Covid-19 crisis when some Swedish citizens lost trust in their official institutions. Once Sweden decided not to comply with WHO recommendations, the great majority of the Swedish population rallied around the flag in support of that move. For those who questioned this approach not much support was available, so they turned to social media. We ran a survey of 371 Facebook users gathered around the "Dr Whistleblower oxygen for all" group. Combining quantitative and qualitative analysis, in this study we analyse the role of social media in situations when people lose trust in public institutions and are left out. The most interesting and surprising result of this study is the discovery of fear for Dr Whistleblower's future, and fear for participants' own lives. We argue that in times of grave crisis, when we need reliable information the most, we turn to social media not only due to its immediacy but also due to its ability to connect us with a much wider circle of people than our close circle of friends can do. Then, more than ever, we look for trustworthy information, we express our fears and look for help online, thus seriously disrupting the traditional news landscape. © The Authors, (2022). All Rights Reserved. No reproduction, copy or transmission may be made without written permission from the individual authors.

关键词： Cell proliferation

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GNN-Assisted BiG-AMP: Joint Channel Estimation and Data Detection for Massive MIMO Receiver

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IEEE Transactions on Wireless Communications 2025年第6期24卷 4631-4646页

作者： Liu, Zishen Wu, Nan He, Dongxuan Yuan, Weijie Li, Yonghui Quek, Tony Q. S. School of Information and Electronics Beijing Institute of Technology Beijing100081 China School of System Design and Intelligent Manufacturing Shenzhen Key Laboratory of Robotics and Computer Vision Southern University of Science and Technology Shenzhen518055 China School of Electrical and Information Engineering The University of Sydney SydneyNSW2008 Australia Singapore University of Technology and Design 487372 Singapore Department of Electronic Engineering Kyung Hee University Yongin17104 Korea Republic of

In this paper, we develop a graph neural network (GNN)-assisted bilinear inference approach to enhance the receiver performance of the MIMO system through message passing-based joint channel estimation and data detection (JCD). Specifically, based on the bilinear generalized approximate message passing (BiG-AMP) framework and conditional correlation of signal, we propose a GNN-assisted BiG-AMP (GNN-BiGAMP) approach, which integrates a GNN module into the data-detection-loop to compensate the inaccurate marginal likelihood approximation. By leveraging the coupling between the channel and received symbols, a bilinear GNN-assisted BiG-AMP (BiGNN-BiGAMP) JCD receiver is further proposed. This method incorporates two GNNs with similar graph representation into the bilinear posterior estimation loops, which not only compensates for approximation errors but also alleviates performance loss due to premature variance convergence, thereby enhancing the receiver performance significantly. To fully exploit the supervised information from channel estimation and data detection, we propose a multitask learning based training scheme, which coordinates GNNs with different tasks in two loops. Simulation results show that our proposed GNN-assisted JCD receivers significantly outperform other JCD counterparts in terms of both channel estimation and data detection. © 2025 IEEE. All rights reserved.

关键词： Graph neural networks

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Integrating Beetle Swarm Optimization into Cross-Layer Routing for Improved Qos In Cluster-Based Wsns 4

Integrating Beetle Swarm Optimization into Cross-Layer Routi...

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4th IEEE International Conference on ICT in Business Industry and Government, ICTBIG 2024

作者： Soni, Anita Sonare, Satendra Puneeth, S. Yadav, Anjali Sathiamoorthy, J. Tiwari, Aman Raj Ies University Department of Computer Science and Engineering Bhopal India Gyan Ganga Institute of Technology & Sciences Dept of CSE-IOT Jabalpur India Dayananda Sagar University School of Engineering Department of Electronics and Communication Engineering Karnataka Bengaluru India Sait Indore India Rmk Engineering College Department of Computer Science and Design Kavarapettai India Ggits MP India

ISBN: (纸本)9798331518981

An overview of cross-layer architecture and quality-of-service optimizing for router is provided, with a focus on improving the efficiency of cluster oriented wireless sensors via the integration of the Beetle Swarm Optimization (BSO) method with the enhanced Dynamic Source Routing (DSR) approach. Cross Layer design (CLD) is the name of the suggested approach;in this, processing restrictions related to energy are taken into primary consideration. While the IEEE 802.11 (Wi-Fi) standard was evaluated as a gateway in Chapter 3, it does have a few drawbacks, such as the fact that it can only handle small networks and that every router has only a certain amount of battery capacity. Thus, for the sake of cross-layer layout, this component takes into account the ZigBee/IEEE 802.15.4 (WPAN) wirelessly personalized area network design. A number of settings are adjusted to enhance the wireless sensor network's efficiency depending on the ZigBee structure of layers. Power from batteries is the main focus of the physical component. The media access control (MAC) layer handles packet sequencing and bandwidth that is available. Both the transmission and network layers are responsible for controlling overcrowding. The networking layer handles routable technologies. This chapter concludes, in its experimental part, that the suggested strategy improves the Quality of Services in wireless networks of sensors by outperforming in terms of throughput, consumption of energy, packet delivery ratio, and latency. While Dynamic Source Routing (DSR) and Adhoc On-Demand Distance Vector Routing (AODV) demonstrate substantially lower and more variable levels of accomplishment, the suggested approach Cross Layer design (CLD) maintains an accuracy in the vicinity of 95%. This is in contrast to the other two methods. © 2024 IEEE.

关键词： Zigbee

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Research on the Application of Emotional design in a Heated Non-Burning Tobacco Product

Research on the Application of Emotional Design in a Heated ...

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2022 International Symposium on design Studies and Intelligence engineering, DSIE 2022

作者： Lei, Yu Xiang, Yudi Ye, Ziyi Zhou, Zhiyu Industrial Design Engineering College of Software Zhejiang University Hangzhou China College of Computer Science and Technology Zhejiang University Hangzhou China

ISBN: (纸本)9781643683720

To explore the application of emotional design theory in the design of a new heated non-burning tobacco (HNB) product. Based on Norman's three levels theory of emotional design, this research redesigns HNB products from the aspects of instinct, behavior, and reflection on the appearance of products, interactive experience, and users' deep emotional experience. It makes the product more in line with the temperament and characteristics of the young group, improves the user experience, and meets the emotional needs of users in different scenes. © 2023 The authors and IOS Press.

关键词： Tobacco

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Student Satisfaction Index in Synchronous e-Learning a Case Study 14

Student Satisfaction Index in Synchronous e-Learning a Case ...

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14th International Conference on eLearning, eLearning 2023

作者： Kasliwal, Prabha Sunil Gunjan, Reena Shete, Virendra School of Engineering MIT Art Design and Technology University Pune India School of Electronics and Telecommunication Engineering MIT Academy of Engineering India Department of Computer Science Engineering School of Engineering MIT Art Design and Technology University Pune India Department of Electronics and Telecommunication School of Engineering MIT Art Design and Technology University Pune India

design-Based Learning (DBL) is an educational teaching pedagogy that combines inquiry-based learning with design thinking. It aims to engage students in real-time situations and hands-on learning experiences where they apply design principles to observe the activities and identify the tasks which can be done or solved by an alternate way. DBL encourages creativity, critical thinking, collaboration, and problem-solving skills. DBL experience fosters student engagement, motivation, and a sense of accomplishment, leading to greater satisfaction with the learning process. Positive emotions, such as excitement, curiosity, and enjoyment, are often associated with higher levels of satisfaction. When students feel motivated, interested, and connected to the course, they are more likely to be satisfied and enjoy their learning experience. Effective teaching practices, supportive e-learning environments, and addressing individual student queries can all contribute to enhancing student satisfaction and overall learning outcomes. In synchronous e-learning, design thinking approach is applied during the instructional design process. In this paper the systematic review and survey aimed to explore the relationship between emotions during design thinking course in synchronous e-learning and Student Satisfaction Index (SSI). The research methodology involved a mixed-methods approach, combining quantitative data through surveys and qualitative data through interviews. The activities were designed to enhance attentiveness in class, student autonomy, active involvement in every task, opportunities for collaboration, and a sense of ownership over the learning process and maximize the learning in synchronous e-learning mode. The case study findings are investigation of activities done in the "design Thinking" course at the First year engineering. The learner’s response to the online survey as individual and as offer valuable insights that activities conducted proved to be an effective pe

关键词： Students

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