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Observation of Charge Density Wave in Layered Hexagonal Cu1.89Te Single Crystal

Chinese Physics Letters 2023年第1期40卷 37-42页

作者：高文帅陈正韦文森闫超王莎莎汤进张冉冉程礼迅南鹏飞王杰韩玉岩郗传英葛炳辉何林杜海峰宁伟朱相德田明亮 Institutes of Physical Science and Information Technology Anhui UniversityHefei 230601China Anhui Province Key Laboratory of Condensed Matter Physics at Extreme Conditions High Magnetic Field LaboratoryChinese Academy of SciencesHefei 230031China Center for Advanced Quantum Studies Department of PhysicsBeijing Normal UniversityBeijing 100875China Department of physics University of Science and Technology of ChinaHefei 230026China School of Physics and Optoelectronics Engineering Anhui UniversityHefei 230601China

We report comprehensive transport, electron microscopy and Raman spectroscopy studies on transition-metal chalcogenides Cu1.89Te single crystals. The metallic Cu1.89Te displays successive metal-semiconductor transitions at low temperatures and almost ideal linear MR when magnetic field up to 33 T. Through the electron diffraction patterns, the stable room-temperature phase is identified as a 3 × 3 × 2 modulated superstructure based on the Nowotny hexagonal structure. The superlattice spots of transmission electron microscopy and scanning tunneling microscopy clearly show the structural transitions from the room-temperature commensurate Ⅰ phase, named as C-Ⅰ phase, to the low temperature commensurate Ⅱ(C-Ⅱ) phase. All the results can be understood in terms of charge density wave(CDW) instability, yielding intuitive evidences for the CDW formations in Cu1.89Te. The additional Raman modes below room temperature further reveal that the zone-folded phonon modes may play an important role on the CDW transitions. Our research sheds light on the novel electron features of Cu1.89Te at low temperature, and may provide potential applications for future nano-devices.

关键词： structure transitions Crystal

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Leveraging U-Net Variants for High-Precision Flood Mapping: A Performance Evaluation on the ETCI Dataset 2

Leveraging U-Net Variants for High-Precision Flood Mapping: ...

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2nd IEEE International Conference on Emerging Research in Computational science, ICERCS 2024

作者： Thirugnanasammandamoorthi, Puviyarasi Ghosh, Debabrata Dewangan, Ram Kishan Thapar Institute of Engineering and Technology Department of Electronics and Communication Engineering Punjab India Bennett University School of Computer Science Engineering and Technology India

ISBN: (纸本)9798331534950

Flood mapping is a crucial task in mitigating the adverse impacts of flooding by providing accurate spatial information about inundated areas. This study explores flood mapping using the ETCI dataset, leveraging the U-Net model and its enhanced variants. Initially, a basic U-Net architecture is employed to generate flood maps, followed by progressively improved versions incorporating batch normalization, dropout, and attention mechanisms. These modifications aim to enhance model generalization, robustness, and feature extraction capabilities. For the purpose of evaluating the model's performance, metrics like accuracy, F1-score, and Intersection over Union (IoU) are utilised. The generated flood maps demonstrate the potential of advanced U-Net architectures for precise and efficient flood delineation, providing a valuable tool for disaster management and planning. © 2024 IEEE.

关键词： Disaster prevention

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Enhancing Network Robustness Through Strategic Edge Addition Based on Natural Connectivity 21

Enhancing Network Robustness Through Strategic Edge Addition...

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21st International computer Conference on Wavelet Active Media technology and Information Processing, ICCWAMTIP 2024

作者： Simin, Wang Yilin, Wang Zihan, Xie Qiang, Dong School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China University of Electronic Science and Technology of China Laboratory of Intelligent Collaborative Computing Chengdu611731 China

ISBN: (纸本)9798331519254

Natural connectivity serves as a pivotal metric for evaluating network robustness, reflecting the redundancy of alternative pathways between any two nodes and being mathematically expressed as the average eigenvalue of the adjacency matrix. Despite extensive research on the natural connectivity of numerous typical networks, there has been limited exploration into strategies for enhancing this metric. This paper introduces a link addition strategy aimed at maximizing natural connectivity, specifically targeting the addition of links between high-degree nodes with long-range distances. Experimental results, conducted on both synthetic and real-world networks, demonstrate that our proposed strategy attains near-optimal natural connectivity with remarkable computational efficiency, thereby proving its viability for large-scale network applications. © 2024 IEEE.

关键词： Link addition strategy Natural connectivity Network robustness

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A Novel Channel Selection and Classification in Motor Imagery for Brain computer Interface Using Meta Heuristic Algorithms

A Novel Channel Selection and Classification in Motor Imager...

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International Conference on Smart Systems and Wireless Communication, SSWC 2024

作者： Devarakonda, Nagaraju Kamarajugadda, Raviteja Anandarao, Sarvani School of Computer Science and Engineering VIT-AP University Amaravathi India Department of Information Technology Lakireddy Bali Reddy College of Engineering Mylavaram India Department of Computer Science and Engineering SRM University AP Amaravati India

ISBN: (纸本)9789819613472

A vital input for a task using the brain in BCI (Brain computer Interface) applications is the motor imagery (MI) signal from the brain. Users of BCI systems can operate external equipment by using their brain activity, using motor imagery as a control method. Innumerous Electroencephalography (EEG) channels are used to gather nerve impulses from the brain, which are the most prevalent input for Brain computer Interface systems while they are minimally invasive, flexible, and low in price. The computational overhead is increased by multichannel BCI systems’ high-dimensional data, which causes processing to be slower and to cost more money. EEG details are regularly gathered from over 100 different brain regions;therefore, it is essential to use channel selection algorithms to choose the ideal channels for a given circumstance. However, the primary objective of choosing the channel in EEG data analysis is to lessen the computer intricacy, improve the precision of classification by eliminating over fitting, and save setup time. In this study, we suggested a remora optimization technique that was inspired by nature to lessen the computational load brought on by several channels. Using predetermined criteria, a number of channel selection evaluation techniques, whether classification-based methods used or not it extracted the proper channel subsets. In order to determine the greatest classification accuracy, the classification procedures were utilized in the end. Three publicly available EEG datasets are used to validate the experiment (BCI Competition IV-1,2a, Competition III-3a), and it resulted in superior classification accuracy. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Random forests

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Construction of marketing risk perception framework based on large model agent 24

Construction of marketing risk perception framework based on...

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2024 International Conference on Cloud Computing and Big Data, ICCBD 2024

作者： Chi, Wenxin Wei, Shijie School of Computer Science and Engineering Macau University of Science and Technology China Business-Intelligence of Oriental Nations Corporation Ltd. China

ISBN: (纸本)9798400710223

The new generation of artificial intelligence technology represented by the Chat-GPT large model is profoundly affecting all walks of life. The marketing risk perception framework based on large model agents brings new opportunities for marketing risk analysis of large enterprises. The author takes China Mobile's large-model intelligent marketing entity risk management and control as an example to discuss the application exploration of large-model intelligent entities in corporate marketing risks. This article first discusses the various opportunities and effects that large model intelligence brings to corporate marketing;secondly, it elaborates on its construction framework, then analyzes its user intentions and assesses risks, and finally elaborates on its operational logic. Through the above steps, the role of the marketing risk perception framework based on large model agents in the field of corporate marketing is systematically analyzed in terms of risk prediction, risk analysis, and risk prevention and control. This will systematically and comprehensively lay a practical foundation for large model agents in the field of marketing risk perception. © 2024 ACM.

关键词： Chatbots

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Efficient Robustness Evaluation via Constraint Relaxation 39

Efficient Robustness Evaluation via Constraint Relaxation

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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025

作者： Pan, Chao Wu, Yu Tang, Ke Li, Qing Yao, Xin Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China The Hong Kong Polytechnic University Hong Kong School of Data Science Lingnan University Hong Kong

ISBN: (纸本)157735897X

The study of enhancing model robustness against adversarial examples has become increasingly critical in the security of deep learning, leading to the development of numerous adversarial defense techniques. While these defense methods have shown promise in mitigating the impact of adversarial perturbations, evaluating their effectiveness remains a critical challenge. The recently introduced AutoAttack technique has been recognized as a standardized method for assessing model robustness. However, the computational demands of the AutoAttack method significantly limits its applicability, underscoring the urgent need for efficient evaluation techniques. To address this challenge, we propose a novel and efficient evaluation framework based on strategic constraint relaxation. Our key insight is that temporarily expanding the adversarial perturbation bounds during the attack process can help discover more effective adversarial examples. Based on this insight, we develop the Constraint Relaxation Attack (CR Attack) method, which systematically relaxes and resets perturbation constraints during optimization. Extensive experiments on 105 robust models show that CR Attack outperforms AutoAttack in both attack success rate and efficiency, reducing forward and backward propagation time by 38.3× and 15.9× respectively. Through comprehensive analysis, we validate that the constraint relaxation mechanism is crucial for the method’s effectiveness. Copyright © 2025, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Deep learning

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A Novel Matrix for Analyzing Cloud Services in Top MNCs 7

A Novel Matrix for Analyzing Cloud Services in Top MNCs

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7th International Conference on Trends in Electronics and Informatics, ICOEI 2023

作者： Bansal, Nidhi Jain, Archana Sharma, Manoj Kumar Kumar, Gaurav Iimt University School of Engineering and Technology Computer Science and Engineering Department Meerut India

ISBN: (纸本)9798350397284

Multinational companies are taking advantage of the services provided through a cloud service provider (CS P). It is generally observed that, the companies provide customized services to the user as an added benefit rather than using the initial services. The motive of the proposed study is to build a trusted relationship between the user and service provider. This study analyzes several parameters to scale up an approach by adopting advanced technologies. In this study, a matrix has been prepared by including the utility value for the fruit factors used by the user. Compatibility connection between multiple customers are also measured by obtaining services from the particular company. The proposed matrix can identify the actual use of the significant cloud computing features. © 2023 IEEE.

关键词： Matrix algebra

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Toward Addressing the Software Architecture Blind Spot of Information System Success Factors in the Public Health Domain 44

Toward Addressing the Software Architecture Blind Spot of In...

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44th International Conference on Information Systems: Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies, ICIS 2023

作者： Dang, Anthony Beydoun, Ghassan School of Computer Science Faculty of Engineering and Information Technology University of Technology Sydney Australia

ISBN: (纸本)9781713893622

Context: In the public health domain, there is no shortage of failed Information Systems projects. In addition to overblown budgets and elapsed deadlines (ad nauseam), technical issues exist. These include poor usability, instability, system performance, and data inconsistency issues. The issues relate to Software engineering, and specifically Software Architecture. The role of Software Architecture underpins these issues. However, the enquiries and analyses of these failed Information Systems projects have focused on the perspective of stakeholders (e.g., government ministers and health practitioners) and project managers. While stakeholders provide input into project requirements and goals, the project failure or success does not emanate from these roles exclusively. For example, system instability is not specifically a stakeholder issue but rather a Software Architecture concern. Aim: To bring to bear and address public sector health Information System failure from the Software Architecture perspective. Method: A literature survey was conducted to ascertain the perceived failure and success factors within the public health domain. Results: We observed that the available literature on health Information Systems appears to lack success factors which have been noted in the Software engineering and Software Architecture literature. Software Architecture appears to be an understudied area within the public health domain. Contribution: To bring awareness to the public health domain that the Information System's success requires multi-faceted perspectives and actions. Specifically, perspectives and actions involving Software Architects and Software Engineers are required to successfully address the quality attributes of the proposed systems during development. Copyright © 2023 Anthony Dang and Ghassan Beydoun.

关键词： Software architecture

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Open-Vocabulary Calibration for Fine-tuned CLIP 41

Open-Vocabulary Calibration for Fine-tuned CLIP

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41st International Conference on Machine Learning, ICML 2024

作者： Wang, Shuoyuan Wang, Jindong Wang, Guoqing Zhang, Bob Zhou, Kaiyang Wei, Hongxin Department of Statistics and Data Science Southern University of Science and Technology Shenzhen China Department of Computer and Information Science University of Macau Taipa China William & Mary WilliamsburgVA United States School of Computer Science and Engineering University of Electronic Science and Technology of China China Department of Computer Science Hong Kong Baptist University Hong Kong

Vision-language models (VLMs) have emerged as formidable tools, showing their strong capability in handling various open-vocabulary tasks in image recognition, text-driven visual content generation, and visual chatbots, to name a few. In recent years, considerable efforts and resources have been devoted to adaptation methods for improving the downstream performance of VLMs, particularly on parameter-efficient fine-tuning methods like prompt learning. However, a crucial aspect that has been largely overlooked is the confidence calibration problem in fine-tuned VLMs, which could greatly reduce reliability when deploying such models in the real world. This paper bridges the gap by systematically investigating the confidence calibration problem in the context of prompt learning and reveals that existing calibration methods are insufficient to address the problem, especially in the open-vocabulary setting. To solve the problem, we present a simple and effective approach called Distance-Aware Calibration (DAC), which is based on scaling the temperature using as guidance the distance between predicted text labels and base classes. The experiments with 7 distinct prompt learning methods applied across 11 diverse downstream datasets demonstrate the effectiveness of DAC, which achieves high efficacy without sacrificing the inference speed. Our code is available at https://***/mlstat-Sustech/CLIP Calibration. Copyright 2024 by the author(s)

关键词： Calibration

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Improved MPPT algorithm: Artificial neural network trained by an enhanced Gauss-Newton method

AIMS Electronics and Electrical Engineering

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AIMS Electronics and Electrical engineering 2023年第4期7卷 380-405页

作者： Dkhichi, Fayrouz Laboratory of Networks Computer Science Telecommunications & Multimedia Electrical Engineering Department Superior School of Technology Hassan II University of Casablanca Morocco

A novel approach defined by the artificial neural network (ANN) model trained by the improved Gauss-Newton in conjunction with a simulated annealing technique is used to control a step-up converter. To elucidate the superiority of this innovative method and to show its high precision and speed in achieving the right value of the Maximum Power Point (MPP), a set of three comparative Maximum Power Point Tracker (MPPT) methods (Perturbation and observation, ANN and ANN associated with perturbation and observation) are exanimated judiciously. The behavior of these methods is observed and tested for a fixed temperature and irradiance. As a result, the proposed approach quickly tracks the right MPP = 18.59 W in just 0.04382 s. On the other hand, the outstanding ability of the suggested method is demonstrated by varying the irradiance values (200 W/m , 300 W/m , 700 W/m , 1000 W/m , 800 W/m and 400 W/m ) and by varying the temperature values (15°C, 35°C, 45°C and 5°C). Therefore, the ANN trained by Gauss-Newton in conjunction with simulated annealing shows a high robustness and achieves the correct value of MPP for each value of irradiance with an efficiency 99.54% and for each value of temperature with an efficiency 99.98%;the three other methods sometimes struggle to achieve the right MPP for certain irradiance values and often remains stuck in its surroundings. © 2023 The Author(s).

关键词： Maximum power point trackers

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