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TSFeatLIME: An Online User Study in Enhancing Explainability in Univariate Time Series Forecasting 36

TSFeatLIME: An Online User Study in Enhancing Explainability...

引用

36th ieee International conference on Tools with Artificial Intelligence, ICTAI 2024

作者： Ma, Hongnan McAreavey, Kevin Liu, Weiru School of Computer Science University of Bristol Bristol United Kingdom School of Engineering Mathematics and Technology University of Bristol Bristol United Kingdom

ISBN: (纸本)9798331527235

Time series forecasting, while vital in various applications, often employs complex models that are difficult for humans to understand. Effective explainable AI techniques are crucial to bridging the gap between model predictions and user understanding. This paper presents a framework - TSFeatLIME, extending TSLIME, tailored specifically for explaining univariate time series forecasting. TSFeatLIME integrates an auxiliary feature into the surrogate model and considers the pairwise Euclidean distances between the queried time series and the generated samples to improve the fidelity of the surrogate models. However, the usefulness of such explanations for human beings remains an open question. We address this by conducting a user study with 160 participants through two interactive interfaces, aiming to measure how individuals from different backgrounds can simulate or predict model output changes in the treatment group and control group. Our results show that the surrogate model under the TSFeatLIME framework is able to better simulate the behaviour of the black-box considering distance, without sacrificing accuracy. In addition, the user study suggests that the explanations were significantly more effective for participants without a computer science background. © 2024 ieee.

关键词： Prediction models

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Semantic-Enhanced LiDAR-Inertial Odometry for Autonomous Driving in Urban Environments

Semantic-Enhanced LiDAR-Inertial Odometry for Autonomous Dri...

引用

2024 ieee International conference on Unmanned Systems, ICUS 2024

作者： Wu, Qi Chen, Xieyuanli Xia, Songpengchen Liu, Guoqing Yu, Wenxian Pei, Ling Shanghai Jiao Tong University Shanghai China National University of Defense Technology Changsha China

ISBN: (纸本)9798350384185

Odometry estimation is a fundamental technique for many robotics and autonomous driving applications. Recent advances using LiDAR and IMU sensor-fusion methods show promising potential in odometry estimation by combining the precise perception of LiDAR and the high-frequency motion estimation from IMU sensors. In this paper, we propose a novel semantic-enhanced LiDAR-inertial odometry (LIO) algorithm for autonomous vehicles working in urban driving environments. It extracts specific semantics needed by odometry, the static flat features and ground constraints, to improve the accuracy and the robustness of LIO. To this end, our method exploits a deep neural network to detect the static points in the LiDAR scan and based on that extracts flat features. It furthermore uses ground plane information to eliminate the z-axis drifts in the odometry estimates. We thoroughly evaluated our method using multiple publicly available datasets and also a self-recorded dataset. We use the network trained only on one dataset and directly apply our method to other datasets without fine-tuning. The experimental results show that our method is accurate and reliable in dynamic urban environments and achieves state-of-the-art LIO performance with fast speed and strong generalization ability. © 2024 ieee.

关键词： Deep neural networks

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Analysis of Switching Mechanisms and Transient Stability of Virtual Synchronous Generators Considering Current Limiting 8

Analysis of Switching Mechanisms and Transient Stability of ...

引用

8th International conference on Power and Energy Engineering, ICPEE 2024

作者： Tu, Zengze Zhou, Shaoze Wu, Simin Liu, Jingrui Wei, Zheng Wang, Wei Electrical Engineering College Xi'an Jiaotong University Xi'an China State Grid Electric Power Research Institute State Key Laboratory Nanjing China Power technology center State Grid Shanghai Municipal Electric Power Company Shanghai China

ISBN: (纸本)9798331530860

Aiming at the transient stability analysis of Virtual Synchronous Generators considering current limitation, this paper primarily constructs a switching dynamic model for single-converter grid-connected systems based on state variables, identifying that the switch between converter control modes occurs at particular phase angles. Further, employing the Segmental Equal Area Criteria, we investigate the transient stability of the proposed model and derive the analytical expressions for the system's critical clearing angle, unveiling the influence mechanism of the saturation current angle on the system's transient stability. Additionally, recognizing that grid-forming converters under limitation constraints may stabilize in current limiting control mode, we propose a method for configuring the saturation current angle to enhance the transient stability margin of the system. This method not only prevents the system from being locked in current limiting mode after fault clearance but also maximizes the critical clearing angle. Finally, simulations based on MATLAB/Simulink are conducted to validate the accuracy of the stability analysis results and the effectiveness of the saturation current angle setting method. © 2024 ieee.

关键词： Transient analysis

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Wafer to Wafer Hybrid Bonding for DRAM applications 72

Wafer to Wafer Hybrid Bonding for DRAM Applications

引用

72nd ieee Electronic Components and technology conference (ECTC)

作者： Park, Jinwon Lee, Byungho Lee, Heesun Lim, Dail Kang, Jiho Cho, Changhyun Na, Myunghee Jin, Ilsup SK Hynix Semicond Co LTD R&D Ctr Icheon South Korea

ISBN: (纸本)9781665479431

This study proves the applicability of wafer to wafer hybrid bonding to commercialized DRAM products for the first time. A metal interconnection process for bonding Cu pad was carried out on the already fabricated DRAM wafer and another bare Si wafer. Two wafers were stacked with wafer to wafer hybrid bonding process. Afterwards, TSV last process with BEOL Metallization was carried out. After applying the optimized bonding process conditions with CMP flatness, Cu dishing control, bonding voids free was confirmed. The stable connectivity of bonding could be confirmed through the daisy chain pattern with 100% pass rate. Finally same wafer yields with current DRAM product can be obtained. Cell characteristics have changed as the hydrogen passivation effect due to the hybrid bonding process and subsequent metal processes has changed. Through thermal budget control, the same cell characteristics could be obtained as existing DRAM.

关键词： component wafer to wafer hybrid bonding 3D IC Cu Pad SiCN DRAM

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Comprehensive Review of Indoor Unmanned Aerial Vehicle Inspection technology and applications in the Power Industry 11

Comprehensive Review of Indoor Unmanned Aerial Vehicle Inspe...

引用

11th China International conference on Electricity Distribution, CICED 2024

作者： Zhu, Shu Wang, Yu Wang, Shenhua Lin, Jun Wu, Feng Luo, Yu College of Electrical Engineering & New Energy China Three Gorges University Hubei China Wuyi Power Supply Company State Grid Zhejiang Electric Power Co. Ltd. Zhejiang China

ISBN: (纸本)9798350368345

With the rapid development of the power industry and the widespread application of UAVs (Unmanned Aerial Vehicles), indoor inspection is facing new opportunities and challenge. Ensuring safe, reliable, and efficient UAV inspection in indoor environments such as substations and distribution rooms is crucial. This study, based on the indoor inspection needs of the power industry, provides an overview of indoor inspection UAV types and insulation protection features, reviews four key technical issues (endurance, control, sensing, navigation) of indoor UAV inspection, and explores future development prospects. The aim is to provide useful references for indoor UA V inspection in the power industry and promote the development of smart grids. © 2024 ieee.

关键词： Unmanned aerial vehicles (UAV)

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A Blockchain-enabled Secure Access Management Method in Edge Computing 29

A Blockchain-enabled Secure Access Management Method in Edge...

引用

29th ieee International conference on Parallel and Distributed Systems, ICPADS 2023

作者： Jiang, Xutong Zhang, Guoming Tian, Hao Xiang, Haolong Zhang, Xuyun Dou, Wanchun Nanjing University State Key Laboratory for Novel Software Technology Nanjing China Macquarie University School of Computing Sydney Australia

ISBN: (纸本)9798350330717

Edge computing has emerged as a transformative paradigm with applications ranging from IoT to smart homes and transportation systems. However, its decentralized nature presents significant challenges in securing sensitive data, particularly in scenarios involving data sharing. To address these issues, this paper introduces a secure data access control system for edge computing by leveraging blockchain to foster mutual trust among edge servers and employing attribute-based encryption for secure data sharing. Our proposed solution seeks to enhance data security in distributed environments. We validate our method through practical experiments conducted on multiple edge servers, confirming its effectiveness in safeguarding data integrity and privacy. © 2023 ieee.

关键词： blockchain edge computing encryption security

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Power Asymmetry Characteristic and Stability Analysis of Grid-Connected Inverter under Weak Grid Condition

Power Asymmetry Characteristic and Stability Analysis of Gri...

引用

2023 International conference on Power Energy Systems and applications, ICoPESA 2023

作者： Liu, Fang Yuan, Gengtao He, Guoqing Liu, Dan Hefei University of Technology School of Electrical Engineering & Automation Hefei China China Electric Power Research Institute Co. Ltd Beijng China Electric Power Research Institute of State Grid Hubei Electric Power Co. Ltd Wuhan China

ISBN: (纸本)9798350345605

The active and reactive power of grid-connected inverter (GCI) under weak grid condition supports the operation at the same time, so its operating characteristic under different power factors are particularly important. Therefore, from the perspective of system damping ratio, the small signal models of GCI under three control methods are respectively constructed. It is found that when the current vector is a circular trajectory, its damping ratio characteristic is a non-circular trajectory, namely stability 'asymmetry' phenomenon of active and reactive power;Based on that, it is found that when power factor changes from -90°-0°-90°, the participation factor of the PLL angle increases first and then decreases, and vice versa for VSG angle. And compared with current-loop vector control and VSG control, the power 'asymmetry' of the double-loop vector control strategy is the most obvious. Finally, the accuracy of the analysis is verified by Matlab simulation and experimental platform. © 2023 ieee.

关键词： MATLAB

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AI based Security in computer vision and machine learning algorithms for hand sign recognition 3

AI based Security in computer vision and machine learning al...

引用

3rd ieee International conference on Blockchain and Distributed Systems Security, ICBDS 2024

作者： Thorat, Nilesh N. Kulal, Nilesh M. Baburao, Khedekar Vilas Hirve, Sumit Arun Kolekar, Sachin Sangore, Rohidas Mit Art Design and Technology University Department of Computer Science and Engineering Pune India

ISBN: (纸本)9798350354348

In order to facilitate intuitive control and communication across a variety of areas, hand gesture recognition is an essential component of human-computer interaction systems. In this paper, a real-time hand gesture recognition system developed with the MediaPipe library, and convolutional neural networks (CNNs) is presented. The system utilizes a CNN model provided by MediaPipe for accurate detection of hand landmarks in camera feed images. Through extensive preprocessing and feature extraction, hand gestures, including finger gestures and palm orientations, are classified in real-time. The system offers dynamic selection between two modes: logging key points and logging point history, facilitating data collection for training or analysis *** features of the system include bounding rectangle calculation, landmark visualization, and gesture classification, providing users with immediate feedback on detected hand gestures. The modular design and parameter configurability make the system versatile for a wide range of applications, from interactive interfaces to sign language interpretation. The outcomes of the experiments showcase the practicality and efficacy of the suggested method, indicating that it has the potential to improve the experiences of people interacting with computers. Incorporating AI security measures, the system can significantly enhance security protocols in various applications. For instance, it can be used for gesture-based authentication, where specific hand gestures act as passwords to grant access to secure systems. This method can be further secured by combining it with traditional authentication techniques, creating a robust multi-factor authentication framework. Additionally, the real-time detection capability allows for immediate response to unauthorized access attempts, triggering alerts or lockdown procedures when unfamiliar gestures are detected. © 2024 ieee.

关键词： Convolutional neural networks

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An Automatic Temperature control System in Intelligent Buildings Using SoC 5

An Automatic Temperature Control System in Intelligent Build...

引用

2023 5th International conference on Artificial Intelligence and Computer applications, ICAICA 2023

作者： Lan, Yunhao Han, Zengxiang Elmore Family School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States

ISBN: (纸本)9798350323313

System-on-Chip (SoC) technology is constantly evolving and being applied in various fields such as the Building Automation System (BAS). Aiming to improve systems' performance and users' experience, BAS relies on SoC to control the electromechanical systems of intelligent buildings. In order to achieve temperature control, a temperature control system for smart buildings is proposed in this paper, which works in conjunction with air conditioning and windows controlled by direct current (DC) motors. For the purpose of environmental protection and energy saving, opening/closing windows always has a higher priority than open air conditioning. The system achieves temperature monitoring through the indoor and outdoor installation of temperature sensors. Users are allowed to set the desired temperature through a universal asynchronous receiver-transmitter transmitter (UART Tx). In general, the design contains three modules: SoC, external circuit design, and proportional, integral, and derivative (PID) control. All three modules work together to control DC motors to open/close windows at a certain angle with a certain angular speed. The SoC module contains a temperature control unit, a universal asynchronous receiver-transmitter receiver (UART Rx), and a digital-to-analog converter (DAC). The on-chip part of the system passed tests on a Field Programmable Gate Array (FPGA). © 2023 ieee.

关键词： Intelligent buildings

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Machine Learning Based Ecommerce Model for Myanmar Hotel Industry

Machine Learning Based Ecommerce Model for Myanmar Hotel Ind...

引用

2023 ieee conference on Computer applications, ICCA 2023

作者： Win, Tin Nilar Zar Lwin, Nang Khine University of Computer Studies Faculty of Information Technology Supporting and Maintenance Thaton Myanmar Myanmar

ISBN: (纸本)9781665435994

In Ecommerce world, social media becomes very important part for communicating customers to business because business can collect and prepare their industry according to the reviews of the customers through social media network. Ecommerce model is one important model from real business model in which customer can review products or services of the business companies. This model helps to predict and understand the behavior of customers where it supports the improvement quality of industry. In this research paper, Support Vector Machine (SVM), Reduced Error Pruning Tree (REPTree), and Convolutional Neural Network (CNN) classifiers are applied for classification of the travelers 'reviews to improve the Myanmar Hotel Industry. Reviews classification supports for the Ecommerce model to improve the performance of the business industry. Moreover, the performance analysis of the classifiers based on reviews classification are evaluated in this system. The classification result of the CNN classifiers reached 90.85% on this system. © 2023 ieee.

关键词： Sales

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