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Analysis and Practice of Ideological and Political Education in computer Public Basic Courses in Architecture Universities Based on Machine Learning and Deep Learning 24

Analysis and Practice of Ideological and Political Education...

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2024 Guangdong-Hong Kong-Macao Greater Bay Area International Conference on Education Digitalization and computer science, EDCS 2024

作者： Lv, Cheng Department of Computer Science School of Electrical and Information Engineering Beijing University of Civil Engineering and Architecture Beijing100044 China

ISBN: (纸本)9798400710360

In response to the shortcomings of ideological and political education in the computer basic course of our school, the teaching team has conducted in-depth research on the connotation of ideological and political education in the course, accurately grasped the direction of ideological and political education in the course, innovatively proposed the"progressive method of ideological and political education", and constructed an integrated curriculum system of ideological and political education in the course;Using Orange3 software and machine learning algorithms to deeply explore the ideological and political elements of the curriculum, constructing an analytical model, formulating personalized teaching and learning strategies, and constructing a double-layer teaching evaluation system that emphasizes both morality and ability. Through the analysis of course data, it is shown that the effectiveness of ideological and political education in the curriculum has been comprehensively improved, and the quality of teaching has been comprehensively enhanced. © 2024 Copyright held by the owner/author(s).

关键词： Adversarial machine learning

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A Transformer-Enabled Phonological Study of Genuine and Synthetic Voices

A Transformer-Enabled Phonological Study of Genuine and Synt...

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2024 IEEE International Conferences of AI, science, engineering, and Technology, AIxSET 2024

作者： Reynolds, Sarah MacHado, Daniel Ochoa, Omar Embry-Riddle Aeronautical University Department of Electrical Engineering and Computer Science Daytona Beach United States

ISBN: (纸本)9798350390995

This study bridges the gap between traditional linguistic studies, particularly phonology, and modern Machine Learning (ML) developments. It explores the mutually beneficial interactions between the two domains: by utilizing Speech-To-Text (STT) models to aid in phonology and by integrating phonological insights into the evaluation of Text-To-Speech (TTS) generation. Phonology, the study of phonemes-fundamental sound units in human speech-is pivotal for understanding speech variations caused by accents, speech disorders, and individual pronunciation differences. Leveraging the International Phonetic Alphabet (IPA), this work analyzes speech patterns to enhance explainability and accuracy in TTS models, particularly those employing transformer architectures. This approach for phoneme analysis is tested on the Speech Accent Archive and synthetic speech samples generated by OpenAI's text-to-speech system. By employing the wav2vec model for phoneme detection and DeepPhonemizer for grapheme-to-phoneme conversion, we calculate phoneme distances using an adapted Wagner-Fischer algorithm. This analysis reveals significant differences in phoneme accuracy between native English speakers, non-native speakers, and synthetic speech, highlighting areas for improvement in synthetic speech generation. The results indicate that synthetic voices exhibit lower phoneme variation compared to human speakers, suggesting potential for enhancing both the naturalness and diversity of synthetic speech. This approach not only aids in refining TTS systems but also offers insights into developing more unique and personalized synthetic voices. Future work aims to refine ML tools, expand the phonological approach, and further integrate linguistic knowledge into TTS evaluation and improvement. © 2024 IEEE.

关键词： Speech enhancement

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Surface phase diagram of CsSnI3 from first-principles calculations

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Physical Review Materials 2024年第9期8卷 093401页

作者： Kejia Li Chadawan Khamdang Mengen Wang Department of Electrical and Computer Engineering Materials Science and Engineering Program

CsSnI3 is widely studied as an environmentally friendly Pb-free perovskite material for optoelectronic device applications. To further improve material and device performance, it is important to understand the surface structures of CsSnI3. We generate surface structures with various stoichiometries, perform density functional theory calculations to create phase diagrams of the CsSnI3 (001), (110), and (100) surfaces, and determine the most stable surfaces under a wide range of Cs, Sn, and I chemical potentials. Under I-rich conditions, surfaces with Cs vacancies are stable, which lead to partially occupied surface states above the valence band maximum. Under I-poor conditions, we find the stoichiometric (100) surface to be stable under a wide region of the phase diagram, which does not have any surface states and can contribute to long charge-carrier lifetimes. Consequently, the I-poor (Sn-rich) conditions will be more beneficial to improve the device performance.

关键词： Electronic structure Surface reconstruction Surface states Perovskites Semiconductors Density functional theory

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Work in Progress: Emerging from Shadows: Optimal Hidden Actuator Attack to Cyber-Physical Systems 30

Work in Progress: Emerging from Shadows: Optimal Hidden Actu...

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30th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2024

作者： Hamid Miji, Md Kausar Liu, Mengyu Akowuah, Francis E Kong, Fanxin The South Dakota School of Mines and Technology Department of Electrical Engineering and Computer Science Rapid CitySD United States University of Notre Dame Department of Computer Science and Engineering South BendIN United States

ISBN: (纸本)9798350358414

Industries are embracing information technology and constructing more robust machines known as Cyber-Physical Systems(CPS) to automate processes. CPSs are envisioned to be pervasive, coordinating, and integrating computation, sensing, actuation, and physical processes. CPSs have various applications in life-critical scenarios, where their performance and reliability can have direct impacts on human safety and well-being. However, CPSs are vulnerable to malicious attacks, and researchers have developed detectors to identify such attacks in different contexts. Surprisingly, little work has been done to detect attacks on the actuators of CPS. Furthermore, actuators face a high risk of optimal hidden attacks designed by powerful attackers, which can push them into an unsafe state without detection. To the best of our knowledge, no such attacks on actuators have been developed yet. In this paper, we design an optimal hidden attack for actuators and evaluate its effectiveness. First, we develop a mathematical model for actuators and then create a linear program for convex optimization. Second, we solve the optimization problem and simulate the optimal attack. © 2024 IEEE.

关键词： Cyber Physical System

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Renewable Distributed Generation for Smart Highway Lighting 11

Renewable Distributed Generation for Smart Highway Lighting

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

作者： Channi, Harpreet Kaur Handa, Kanika Bhullar, Manpreet Sandhu, Ramandeep Kaur, Harpreet Singh, Parminder Vishal Chandigarh University Department of Electrical Engineering Mohali India Ct University Department of Computer Science and Engineering India School of Computer Science and Engineering Lovely Professional University India School of Computer Science and Engineering Lovely Professional University Punjab Jalandhar India Lovely Professional University Department of Cse Punjab Jalandhar India

ISBN: (纸本)9798350350357

Renewable energy generation is encouraging nowadays due to increasing demand day by day. At the commercial level, renewable energy generation is already in use. In this project, renewable energy generation is used on highways for lighting purposes. These energies are already wasted on highways by constructively using them, it can convert traditional highways into smart highways. The project consists combination of three energies, i.e. solar, wind, and piezoelectric energy. Many projects are already running on the highway in which individual energy or a combination of two energy is used for the generation. Still, with this project, three hybrid energy generation systems will be explained for the lighting on the highways. Initially, this system can cost more, but in the long term, it benefits more as well. This off-grid system can also further extend to supply back to the grid if satisfy the current usage on the highway. © 2024 IEEE.

关键词： Solar energy

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Maximizing Profit of the Service Providers through Efficient Content Placement and Retrieval in an IoT-enabled Edge-Cloud Platform 18

Maximizing Profit of the Service Providers through Efficient...

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18th IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2024

作者： Gandhi, Preet Mahanta, Abhishriya Ghose, Manojit Sahu, Aryabartta Indian Institute of Technology Department of Computer Science and Engineering Guwahati India Indian Institute of Technology School of Computing and Electrical Engineering Mandi India Indian Institute of Information Technology Department of Computer Science and Engineering Guwahati India

ISBN: (纸本)9798350391725

In today's 5G era, the amount of data generated by the Internet of Things (IoT) devices is enormous. Data is processed and stored in the cloud under a traditional cloud computing architecture, and real-time processing and retrieval of these data is time-consuming. Therefore, an edge-cloud framework comes in handy where the content generated is placed on the edge nodes of the network, and it can reach the endusers in a time-bound manner. A majority of the previous research works on content placement under the edge-cloud architecture primarily aimed at improving the latency of the system. However, the approach proposed in this paper aims to maximize the profit of the service provider by effectively placing the content in a hierarchically organized edge-cloud network. We propose two strategies and compare them with random and greedy approaches for both synthetic and real data sets. The experimental results demonstrate the effectiveness of the proposed strategies, and the profit of the service providers increases by 38.81% (maximum) and 10.51% (on average) for the synthetic dataset and by 65.74% (maximum) and 22.83% (on average) for the real-world dataset when compared with the greedy approach. © 2024 IEEE.

关键词： Cloud platforms

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DSTER: A Dual-Stream Transformer-based Emotion Recognition Model through Keystrokes Dynamics 18

DSTER: A Dual-Stream Transformer-based Emotion Recognition M...

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18th IEEE International Joint Conference on Biometrics, IJCB 2024

作者： Chen, Frank Rao, Shruti Tiwari, Brijesh Phoha, Vir V. Syracuse University Syracuse Department of Electrical Engineering and Computer Science New York13210 United States

ISBN: (纸本)9798350364132

Emotion Recognition is a critical research area for enhancing human-computer interaction. Keystroke dynamics, a behavioral biometric capturing typing patterns, offers a non-intrusive, user-friendly method for recognizing emotions. We propose a Dual-Stream Transformer-based Emotion Recognition (DSTER) model, which leverages keystroke dynamics to determine emotional states. The DSTER model features a dual-stream architecture that separately extracts temporal-over-channel and channel-over-temporal information. Each stream employs multi-head self-attention mechanisms, Long-Short Term Memory (LSTM), and Convolutional Neural Network (CNN) layers, along with dense vector embeddings of keycode data, to improve the extraction of temporal and contextual information from typing sequences. To the best of our knowledge, the DSTER model is the first to integrate transformer architecture with keystroke dynamics for emotion recognition. Our experiments on a widely-used fixed-text dataset demonstrate that the DSTER model significantly outperforms the three most recent baseline models, achieving average F1 scores up to 0.989 and an average accuracy increase of up to 66.04%. Unlike the significant performance variations reported in baseline models, the DSTER model maintains consistent and robust performance across all five tested emotional states. Further analysis shows that the model performs better with longer window lengths and greater overlaps. © 2024 IEEE.

关键词： Convolutional neural networks

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Excitonic Single- and Two-Photon Photoluminescence Excitations in Bilayer GaN/AlN Nanowires

Excitonic Single- and Two-Photon Photoluminescence Excitatio...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Cui, Liangqing Wu, You Wu, Yuanpeng Mi, Zetian Kira, Mackillo Norris, Theodore B. Department of Electrical Engineering and Computer Science University of Michigan Ann ArborMI48109 United States

The energy difference between the 1s and 2p exciton states of bilayer GaN/AlN is measured and computed by comparing excitonic resonances in photoluminescence excitation spectra following single- versus two-photon abso... 详细信息

ISBN: (纸本)9781957171395

关键词： Photoluminescence

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Enhanced Cross Z-Complementary Set and Its Application in Generalized Spatial Modulation

IEEE Open Journal of the Communications Society

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IEEE Open Journal of the Communications Society 2024年 5卷 4674-4690页

作者： Huang, Zhen-Ming Pai, Cheng-Yu Liu, Zilong Chen, Chao-Yu Institute of Computer and Communication Engineering National Cheng Kung University Tainan701 Taiwan National Cheng Kung University Department of Engineering Science Tainan701 Taiwan National Cheng Kung University Department of Electrical Engineering Tainan701 Taiwan University of Essex School of Computer Science and Electronic Engineering ColchesterCO4 3SQ United Kingdom

Generalized spatial modulation (GSM) is a novel multiple-antenna technique offering flexibility among spectral efficiency, energy efficiency, and the cost of RF chains. In this paper, a novel class of sequence sets, called enhanced cross Z-complementary set (E-CZCS), is proposed for efficient and feasible training sequence design in broadband GSM systems. Specifically, an E-CZCS consists of multiple CZCSs possessing front-end and tail-end zero-correlation zones (ZCZs), whereby any two distinct CZCSs have a tail-end ZCZ when a novel type of cross-channel aperiodic correlation sums is considered. The theoretical upper bound on the ZCZ width is first derived, upon which E-CZCSs with maximum ZCZ width and flexible parameters are constructed. For optimal channel estimation over frequency-selective channels, we introduce and evaluate a novel GSM training framework employing the proposed E-CZCSs. Numerical results demonstrate that the proposed E-CZCS-based training can achieve the minimum channel estimation mean square error (MSE) and outperform other classes of sequences. © 2020 IEEE.

关键词： Mean square error

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Fair-Over-Time Distributed Energy Resource Coordination 60

Fair-Over-Time Distributed Energy Resource Coordination

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60th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2024

作者： Moring, Hannah Farrell, Xavier Mathieu, Johanna L. University of Michigan Department of Electrical Engineering and Computer Science Ann ArborMI48109 United States

ISBN: (纸本)9798331541033

There are numerous strategies to coordinate distributed energy resources (DERs) to provide a variety of services to the power grid. DER coordination can affect resources and participants unequally, for example, by excessively degrading or curtailing particular DERs more than others. However, few DER coordination strategies explicitly take into account fairness, equity, or justice. In this paper, we explore fairness metrics and their applicability to the DER coordination problem. In particular, we investigate metrics from machine learning to identify metrics that could be incorporated into DER coordination problems and we summarize fairness metrics that have been used in the power systems literature. A key challenge is that most existing fairness metrics are static - ensuring fairness at a point in time. DER coordination problems are inherently dynamic and we often care about fairness over time, not at each time. The machine learning literature offers some ways to think about fairness over time and, more generally, how to incorporate fairness into dynamic power systems problems. We use a specific DER coordination problem - the problem of computing dynamic operating envelopes - to demonstrate how incorporation of a fair-over-time metric changes DER coordination solutions, and highlight the trade-offs that arise. © 2024 IEEE.

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