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4th International Conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： Gote, Pradnyawant M. Kumar, Praveen Verma, Prateek Yesankar, Prajyot Pawar, Adesh Saratkar, Saniya Faculty of Engineering and Technology Department of Computer Science & Design Maharashtra Wardha442001 India Faculty of Engineering and Technology Department of Computer Science & Medical Engineering Maharashtra Wardha442001 India Faculty of Engineering and Technology Department of Artificial Intelligence & Machine Learning Maharashtra Wardha442001 India Faculty of Engineering and Technology Department of Artificial Intelligence & Data Science Maharashtra Wardha442001 India

ISBN: (纸本)9798331523923

The swift progression of wireless communication technologies-specifically from 5G to 6G is an approach that could be the most significant revolutionary leap towards changing connectivity and data transmission forever. Additionally, algorithms of machine learning (ML) and deep learning (DL) in 5G and 6G can offer promising advancements toward predictive maintenance, dynamic spectrum management, and enhanced security. The review of the potentially transformative nature of these technologies underlines the need for future directions of research efforts called for in circumventing challenges towards making full capability exploitation of 6G possible. © 2025 IEEE.

关键词： Adversarial machine learning

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FEASIBILITY AND SAFETY ANALYSIS OF SOLID-STATE REACTOR FOR LUNAR SURFACE EXPLORATION 31

FEASIBILITY AND SAFETY ANALYSIS OF SOLID-STATE REACTOR FOR L...

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2024 31st International Conference on Nuclear engineering, ICONE 2024

作者： Yugao, Ma Jiahao, Lu Yue, Liu Suyi, Zhang Muhao, Zhang Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610213 China College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu610059 China

ISBN: (纸本)9780791888247

The Fission Surface Power system is a feasible solution for future lunar surface exploration energy supply, with the solid-state reactor being considered a primary candidate. This paper presents a modeling and analysis of a solid-state reactor based on publicly available information. Using the reactor Monte Carlo program RMC and the commercial finite element analysis software ANSYS, the reactor is modeled and analyzed. The power distribution of the active zone and reactivity feedback coefficients of the entire core are obtained. The result indicates a negative reactivity feedback coefficient, confirming this reactor design's inherent safety. Furthermore, a two-dimensional reactor model is constructed to obtain the temperature distribution during full-power operation, and non-passive residual heat removal analysis and radiative heat loss failure analysis are performed. At the failure condition of all heat pipes, the maximum core temperature is 742 K, which is below the reactor safety temperature limit, confirming the residual heat removal capability of the solid-state reactor in the loss of heat sink. Additionally, the self-developed transient reactor system analysis program is used for thermal safety analysis. The thermal parameters and heat transfer limits of high-temperature alkali metal heat pipes within the reactor are obtained, with the ratio of heat transfer limit to the heat load of 2.05 demonstrating sufficient safety margins of the heat pipe operation in the reactor. The results manifest that the core is satisfied with the existing criteria for anticipated operating occurrences of solid-state reactors, verifying the excellent safety performance of this reactor design. Based on the analysis and calculations in this study, it is concluded that this reactor design exhibits superior safety performance, which is attributed to the neutron physics design concept of the intermediate neutron spectrum and the thermal-hydraulic design concept of non-passive residual h

关键词： Lunar surface analysis

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Eco-Detect: A Sustainable Solution to Advanced Waste Sorting using AI and IoT 4

Eco-Detect: A Sustainable Solution to Advanced Waste Sorting...

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4th International Conference on Ubiquitous Computing and Intelligent Information systems, ICUIS 2024

作者： Nandini Prasad, K.S. Manjula, G. Aishwarya, K.J. Chetankumar Prakash, K. N. Bhanu Chandan, V Sai Dayananda Sagar Academy of Technology and Management Department of Information Science and Engineering India Dayananda Sagar Academy of Technology and Management Department of Computer Science and Design India Dayananda Sagar Academy of Technology and Management Department of Information Science and Engineering Bangalore India

ISBN: (纸本)9798331529635

The traditional waste management system, prevalent in many regions, relies heavily on manual sorting processes carried out by human workers. These processes are often labor- intensive and time-consuming, leading to inefficiencies in waste management operations. Manual sorting methods struggle to cope with the increasing volume and complexity of waste generated, resulting in challenges in accurately categorizing and classifying different types of waste materials. This limitation not only hampers the effectiveness of waste sorting but also impedes efforts to maximize recycling rates and minimize environmental impact. In response to the limitations of traditional waste management approaches, the proposed Eco Detect Advanced Waste Sorting system presents a transformative solution. Leveraging the advancements in artificial intelligence and computer vision, this system introduces the utilization of the YOLOv7 algorithm for real-time interference. YOLOv7, renowned for its exceptional accuracy and speed in object detection, is integrated into the waste sorting process to enable rapid and precise identification and classification of diverse waste materials. By employing deep learning methodologies, the system is capable of recognizing a wide array of waste categories, including plastics, paper, glass, metals, and organic materials, with remarkable efficiency. The integration of the YOLOv7 algorithm into the proposed waste sorting system represents a significant advancement in waste management technology. By enabling swift and accurate identification of various waste types, the system facilitates the optimization of recycling practices, promotes the establishment of a circular economy, and contributes to the overall sustainability agenda. Its adaptability and scalability make it well-suited for widespread implementation, addressing the pressing need for sustainable waste management for clean energy solutions on a global scale. Ultimately, the paper envisions a future where te

关键词： Waste utilization

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LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication 38

LibAMM: Empirical Insights into Approximate Computing for Ac...

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38th Conference on Neural Information Processing systems, NeurIPS 2024

作者： Zeng, Xianzhi Jiang, Wenchao Zhang, Shuhao National Engineering Research Center for Big DataTechnology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China Nanyang Technological University Singapore Singapore University of Technology and Design Singapore

Matrix multiplication (MM) is pivotal in fields from deep learning to scientific computing, driving the quest for improved computational efficiency. Accelerating MM encompasses strategies like complexity reduction, parallel and distributed computing, hardware acceleration, and approximate computing techniques, namely AMM algorithms. Amidst growing concerns over the resource demands of large language models (LLMs), AMM has garnered renewed focus. However, understanding the nuances that govern AMM's effectiveness remains incomplete. This study delves into AMM by examining algorithmic strategies, operational specifics, dataset characteristics, and their application in real-world tasks. Through comprehensive testing across diverse datasets and scenarios, we analyze how these factors affect AMM's performance, uncovering that the selection of AMM approaches significantly influences the balance between efficiency and accuracy, with factors like memory access playing a pivotal role. Additionally, dataset attributes are shown to be vital for the success of AMM in applications. Our results advocate for tailored algorithmic approaches and careful strategy selection to enhance AMM's effectiveness. To aid in the practical application and ongoing research of AMM, we introduce LibAMM -a toolkit offering a wide range of AMM algorithms, benchmarks, and tools for experiment management. LibAMM aims to facilitate research and application in AMM, guiding future developments towards more adaptive and context-aware computational solutions. © 2024 Neural information processing systems foundation. All rights reserved.

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Report for ISSMGE TC309/TC304/TC222 and ASCE Geo-Institute Risk Assessment and Management Committee Fourth Machine Learning in Geotechnics Dialogue on “Machine Learning Supremacy Projects”: 5 December 2023, Okayama Convention Center, Okayama, Japan

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Georisk 2024年第1期18卷 304-313页

作者： Leung, Andy Y.F. Phoon, Kok-Kwang Xiao, Te Shuku, Takayuki Ching, Jianye Department of Civil and Environmental Engineering The Hong Kong Polytechnic University Hong Kong Information Systems Technology and Design/Architecture and Sustainable Design Singapore University of Technology and Design Singapore Singapore Department of Civil and Environmental Engineering The Hong Kong University of Science and Technology Hong Kong Okayama University Okayama Japan Department of Civil Engineering National Taiwan University Taipei Taiwan

The ISSMGE TC309/TC304/TC222 and ASCE Geo-Institute Risk Assessment Management Committee Fourth Machine Learning (ML) in Geotechnics Dialogue was held at the Okayama Convention Center on 5 December 2023. The dialogue focused on “machine learning supremacy projects”, which involve the use of novel ML techniques to analyse emerging data, potentially bringing disruptive value to transform research and practice. The discussions centred around four real-world projects covering tunnelling, pile foundations, and geophysical investigation, to showcase the latest developments and implementations of ML, exchange views on the associated technical and non-technical challenges, and explore further developments to transform practice on a broader scale. These projects highlight the need for efficient ML techniques to analyse large volumes of real-time data for 3D heterogeneous soil/rock domains, and the benefits of standardising data formats among practitioners and researchers. Meanwhile, as data become valuable assets, there is a need to establish guidelines or protocols to protect data privacy and ensure data trustworthiness while creating incentives for owners to share data. Several recommendations include (1) creating benchmark examples using real data and Class A prediction (i.e. prediction made before the event) exercises from real projects to accelerate research in ML methods and (2) involving regulators in future dialogue and exploring the incorporation of data-driven approaches in design codes to complement traditional methods. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Big data data-centric geotechnics digital transformation emerging data machine learning supremacy projects

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Propagation of Laguerre - Gaussian beam in turbulent plasma sheaths 4

Propagation of Laguerre - Gaussian beam in turbulent plasma ...

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4th International Computational Imaging Conference, CITA 2024

作者： Zhang, Lirong Dong, Jiduo Zhang, Hao Liu, Yang Shi, Hongyan Zang, Qing Department of Physics Harbin Institute of Technology Harbin China Institute of System Engineering Academy of Military Science Beijing China

ISBN: (纸本)9781510688834

Laser communication provides a promising solution for solving the communication blackout problem in reentry and hypersonic flight. Application of the orbital angular momentum (OAM) of laser has advantages in communication capacity and security. This paper has investigated the propagation of Laguerre - Gaussian beam in plasma sheaths for different turbulence intensity, in order to evaluate the feasibility of OAM communication. Through numerical simulation, basic characteristics of Laguerre - Gaussian beam are gotten, such as the distribution of laser intensity and phase, the scintillation coefficient, the spiral spectrum and detection probability. The effects of turbulence intensity and topological charge number on laser intensity scintillation coefficient and OAM detection probability are analyzed. The results show that when the variance of refractive index fluctuation is below 10-14, the above characteritics of laser propagation are less influenced by sheath turbulence, which shows the potential feasibility of OAM communication in alleviating the blackout problem. For more intense turbulence, intersymbol interference is predicted to be obvious, and compensation measures are necessary. When the refractive index variance is greater than 10-11, the weight of original OAM state is smaller than 0.01, and the OAM communication through plasma sheaths is difficult. © 2025 SPIE.

关键词： Gaussian beams

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An Intelligent Path Planning of Welding Robot Based on Multisensor Interaction

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IEEE Sensors Journal 2023年第8期23卷 8591-8604页

作者： Tran, Chi-Cuong Lin, Chyi-Yeu National Taiwan University of Science and Technology Department of Mechanical Engineering Taipei106 Taiwan National Taiwan University of Science and Technology Center for Cyber-Physical System Taiwan Building Technology Center Department of Mechanical Engineering Taipei106 Taiwan

Industrial robots are evolving rapidly in the manufacturing industry. There are two main techniques for programming the robots such as online and offline programming. However, the time spent on programming a new trajectory is a major challenge in deploying welding robots, which makes these approaches less efficient. This article presents a two-stage method employing multisensor interaction for the path planning of a welding robot. The proposed scheme enhances weld seam trajectory development and creates a highly adjustable intelligent guidance programming system for welding robots. A global stage approach utilizing the RGB-D camera, which combines fast 2-D object recognition and 3-D reconstruction models, is proposed to quickly identify the coarse trajectory. The processes of fast 2-D object recognition and 3-D reconstruction are carried out using a deep neural network model and stereo vision sensor module. This technique can be a better replacement for offline programming or hand gesture controls also known as the teaching trajectory, particularly for the welding robot application. The local positioning stage is then applied using the laser vision module to obtain more precise information of the local environment, guided by the coarse trajectory that was realized in the prior stage (global stage). The efficacy of the proposed system is analyzed by conducting numerous tests using an experimental setup. The experimental finding demonstrates that the suggested study has great potential to automate the welding robot in the manufacturing sector. © 2001-2012 IEEE.

关键词： Robot programming

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Scalable IoT Security Framework Leveraging Ensemble Learning for Attestation 16

Scalable IoT Security Framework Leveraging Ensemble Learning...

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16th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2024

作者： Tt, Mini Behera, Santrupti Reddy, M Srikar Hota, Chittaranjan Celestica Design Engineering Chennai India Birla Institute of Technology and Science Pilani Department of Computer Science India Birla Institute of Technology and Science Pilani Department of Electronics & Communication India

ISBN: (纸本)9798331505264

Attestation involves providing verifiable evidence to support claims about the characteristics of a target device. Devices that manage sensitive data-such as wearables, Industrial IoT devices, and servers-are vulnerable to various threats, including edge-based attacks, denial-of-service (DoS) attacks, counterfeiting, and firmware tampering. Attestation plays a crucial role in ensuring the integrity of firmware and configurations, authenticating genuine hardware, and verifying that composite device assemblies remain unaltered. However, a review of existing solutions highlights significant deficiencies, particularly in comprehensive lifecycle management and support for large-scale networks. This paper introduces a novel attestation method based on an optimized ensemble learning, which achieves a predictive accuracy of 93%, addressing these gaps and enhancing security across the entire device lifecycle. © 2024 IEEE.

关键词： Firmware

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Analysis of Serial Peripheral Interface 2

Analysis of Serial Peripheral Interface

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2nd IEEE International Conference on Measurement, Instrumentation, Control and Automation, ICMICA 2023

作者： Patra, Aritra Saini, Lalit Mohan National Institute of Technology School of Vlsi and Embedded System Design Haryana Kurukshetra India National Institute of Technology Department of Electrical Engineering Haryana Kurukshetra India

ISBN: (纸本)9798350355048

Serial peripheral interface, a term originally coined by Motorola in the 1980s, serves as a protocol facilitating the communication of serial synchronous data between a master device, often a microcontroller, and various peripherals. These peripherals encompass a broad range, including EEPROMs (Electrically Erasable Programmable Read-Only Memory), sensors, cards and more. Functioning as a full-duplex serial protocol, SPI (Serial peripheral interface) involves transmission and reception of synchronous serial data. This document elucidates the operational intricacies and distinctive features of the SPI Interface Protocol, focusing on a configuration with one master and one slave. In this setup, master device orchestrates communication, dictating the timing and flow of data, while slave device responds to master's commands. Understanding working principles and characteristics of SPI is paramount for its effective implementation in diverse applications. © 2024 IEEE.

关键词： Mice (computer peripherals)

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AMBA based AHB2APB bridge: An overview 2

AMBA based AHB2APB bridge: An overview

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2nd IEEE International Conference on Measurement, Instrumentation, Control and Automation, ICMICA 2023

作者： Sonal, Shashank Saini, Lalit Mohan National Institute of Technology School of Vlsi Design and Embedded System Haryana Kurukshetra India National Institute of Technology Department of Electrical Engineering Haryana Kurukshetra India

ISBN: (纸本)9798350355048

The AMBA is popularly used as an on-chip bus architecture, widely adopted as a standard for interconnections in SoC designs. Its primary aim is to enhance the reusability of Intellectual Property (IP) cores. It helps in accelerating sequential data transmission through a comprehensive collection of bus signals, posing challenges for the in-depth analysis of embedded systems based on AMBA. This study focuses on providing an overview of AHB to APB Bridge - a sophisticated interface bridge that connects the AHB with the APB. © 2024 IEEE.

关键词： Reusability

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