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4th International Conference on Energy, Power, and Environment, ICEPE 2022

作者： Sharma, Pallabi Gautam, Anmol Nayak, Rajashree Balabantaray, Bunil Kumar National Institute of Technology Meghalaya Computer Science and Engineering Shillong India NIT Meghalaya Computer Science and Engineering Shillong India JIS Institute of Advanced Studies and Research Center for Data Science Kolkata India

ISBN: (纸本)9781665471244

Melanoma is a type of skin cancer that starts in the cells (melanocytes) that govern the color of your skin. Melanoma is the most lethal one among all other skin diseases and the only reason for 77% deaths due to skin cancer. The best way to reduce these deaths is to detect cancer at its early stages so it can be treated and cured with minor treatment or surgeries. To speed up and improve the process of early detection, we propose an automatic classification method for melanoma cancer using an advanced deep neural network. Deep learning models require a large dataset to work efficiently, but due to limited time and the heavy workload of doctors, there is a lack of annotated skin can-cer images. Therefore, the proposed model introduces adversarial training for achieving better accuracy even with a small amount of data. The model removes unnecessary details and noise from the image and amplifies the depth and gradient in the dimensions and the shade of the image. This proposed adversarial method uses the gradients of the loss with respect to the input image to create a new adversarial example image that maximizes the loss for an input image. The synthetically generated images are used in the classification system for training and testing purposes. A comparative analysis of training with an adversarial approach and without an adversarial approach on different pre-trained models, namely VGG16, VGG19, Densenet121, and Resnet101, is also introduced in this work. ResNet101 with adversarial training has shown a state-of-the-art accuracy performance of 84.77% for melanoma classification. Therefore, the proposed approach can be considered an efficient method for classifying benign and malignant melanoma. © 2022 IEEE.

关键词： Deep neural networks

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Towards Demystifying Android Adware: Dataset and Payload Location 39

Towards Demystifying Android Adware: Dataset and Payload Loc...

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39th ACM/IEEE International Conference on Automated Software engineering Workshops, ASEW 2024

作者： Wang, Chao Liu, Tianming Zhao, Yanjie Zhang, Lin Du, Xiaoning Li, Li Wang, Haoyu Monash University Clayton Australia Huazhong University of Science and Technology Wuhan China School of Cyber Science and Engineering Huazhong University of Science and Technology Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security China The National Computer Emergency Response Beijing China Beihang University Beijing China

ISBN: (纸本)9798400712494

Adware represents a pervasive threat in the mobile ecosystem, yet its inherent characteristics have been largely overlooked by previous research. This work takes a crucial step towards demystifying Android adware. We present a comprehensive, well-annotated Android adware dataset AdwareZoo, which comprises 15,996 adware samples across 118 distinct adware families collected from both security reports and app repositories, providing a robust foundation for in-depth analysis and future research. We identify adware family payloads by isolating packages from adware samples for VirusTotal rescanning. Our analysis unveils critical insights into the adware ecosystem, highlighting distinctive patterns in family naming conventions and exposing the unexpected classification of widely-used ad networks as adware. We identify diverse payload location strategies, with a notable finding that over 30% of adware families employ payloads beyond conventional Java/Kotlin code. Furthermore, we reveal several evasion techniques utilized by ad-ware, including package name obfuscation and dynamic payload loading. This research not only offers a robust foundation for understanding and combating adware but also highlights the pressing need for increased scrutiny of mobile advertising practices. © 2024 ACM.

关键词： Android malware

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Verifying Quantum Advantage Experiments with Multiple Amplitude Tensor Network Contraction

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Physical Review Letters 2024年第3期132卷 030601-030601页

作者： Yong Liu Yaojian Chen Chu Guo Jiawei Song Xinmin Shi Lin Gan Wenzhao Wu Wei Wu Haohuan Fu Xin Liu Dexun Chen Zhifeng Zhao Guangwen Yang Jiangang Gao Zhejiang Lab Hangzhou 311121 China Tsinghua University Beijing 100084 China Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Department of Physics and Synergetic Innovation Center for Quantum Effects and Applications Hunan Normal University Changsha 410081 China National Supercomputing Center in Wuxi Wuxi 214000 China Information Engineering University Zhengzhou 450001 China National Research Center of Parallel Computer Engineering and Technology Beijing 100190 China

The quantum supremacy experiment, such as Google Sycamore [F. Arute et al., Nature (London) 574, 505 (2019).], poses a great challenge for classical verification due to the exponentially increasing compute cost. Using a new-generation Sunway supercomputer within 8.5 d, we provide a direct verification by computing 3×106 exact amplitudes for the experimentally generated bitstrings, obtaining a cross-entropy benchmarking fidelity of 0.191% (the estimated value is 0.224%). The leap of simulation capability is built on a multiple-amplitude tensor network contraction algorithm which systematically exploits the “classical advantage” (the inherent “store-and-compute” operation mode of von Neumann machines) of current supercomputers, and a fused tensor network contraction algorithm which drastically increases the compute efficiency on heterogeneous architectures. Our method has a far-reaching impact in solving quantum many-body problems, statistical problems, as well as combinatorial optimization problems.

关键词： Quantum benchmarking Quantum circuits Quantum computation Tensor network methods

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Porous hybrid scaffold strategy for the realization of lightweight,highly efficient microwave absorbing materials

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Journal of Materials Science & technology 2022年第34期129卷 215-222页

作者： Meng Zhu Yuting Lei Heng Wu Luo Kong Hailong Xu Xuanxuan Yan Yongjian Xu Lei Dai Shaanxi Provincial Key Laboratory of Papermaking Technology and Specialty Paper Development Key Laboratory of Paper Based Functional MaterialsChina National Light IndustryNational Demonstration Center for Experimental Light Chemistry Engineering EducationShaanxi University of Science and TechnologyXi’an 710021China School of Engineering Computer and Mathematics SciencesAuckland University of Technology55 Wellesley Street EastAucklandNew Zealand School of Materials Science and Engineering Shaanxi University of Science and TechnologyXi’an 710021China Laboratory for Advanced Interfacial Materials and Devices Research Center for Smart Wearable TechnologyInstitute of Textiles and Clothingthe Hong Kong Polytechnic UniversityHong Kong SAR 999077China

Exploring an advanced and efficient electromagnetic(EM) wave absorbing material by improving dielectric loss capacity and adjusting impendence matching is crucial yet challenging. Herein, the bacterial cellulose(BC) derived carbon aerogel(CA) with a robust nanofibrous network was used as a conductive loss scaffold to dissipate EM waves effectively, and the Zn O microparticles with excellent dielectric properties and low electrical conductivity were decorated on the scaffold to adjust dielectric parameters and impedance matching adequately. By using different zinc precursors, the tunable size and morphologies of Zn O crystals were obtained due to the growth rate of different crystallographic, including flowerlike, nanorod like, and cauliflower-like morphologies, which is beneficial to strong multiple reflections,intensive interfacial polarization, better impendence matching, as well as excellent maintenance of the hierarchical structure. Owing to the appropriate impendence matching and the considerable EM wave dissipation, the CA@ZnO composites achieve a superior EM absorbing performance with a broad effective absorbing bandwidth(whole X band) and a minimum reflection coefficient(-53.3 d B). This work paves a new way for developing lightweight and highly efficient EM absorbing materials comprising the carbon scaffold and semiconductor microparticles.

关键词： Carbon scaffold ZnO microparticles Morphologies Impedance matching Microwave absorption

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Scientific Reading Comprehension with Sentences Selection and Ranking 12th

Scientific Reading Comprehension with Sentences Selection a...

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12th national CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2023

作者： Chen, Jialei Wang, Weihua Shao, Shuai College of Computer Science Inner Mongolia University Hohhot China National and Local Joint Engineering Research Center of Intelligent Information Processing Technology for Mongolian Hohhot China Inner Mongolia Key Laboratory of Mongolian Information Processing Technology Hohhot China

ISBN: (纸本)9783031446986

Scientific Machine Reading Comprehension (SMRC) aims to understand scientific long text by providing answers for the given questions. Most existing methods trend to answer the question using Transformer-based models. However, in the scientific domain, the original text is longer than the general domain. In this paper, we proposed a model that consists of a content retrieval module and a pre-trained model module. The content retrieval module finds the most semantically relevant sentences from the text and re-rank them. The seleted sentences and question will be input into the pre-trained model to get the answers. This model could overcome the length limitation of Transformer model length while achieving impressive results. Our model achieved 0.45 score of RougeL, resulting in the second place in the NLPCC2023 Shared Task2. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Information retrieval

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Wavelength-multiplexed orbital angular momentum meta-holography

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PhotoniX 2024年第1期5卷 276-289页

作者： Jaehyuck Jang Seong-Won Moon Joohoon Kim Jungho Mun Stefan A.Maier Haoran Ren Junsuk Rho Department of Chemical Engineering Pohang University of Science and Technology(POSTECH)Pohang 37673Republic of Korea Department of Materials Science and Engineering Stanford UniversityStanfordCA 94305USA Department of Mechanical Engineering Pohang University of Science and Technology(POSTECH)Pohang 37673Republic of Korea School of Electrical and Computer Engineering Purdue UniversityWest LafayetteIN 47907USA School of Physics and Astronomy Monash UniversityMelbourneVIC 3800Australia Department of Physics Imperial College LondonLondon SW72AZUK Department of Electrical Engineering Pohang University of Science and Technology(POSTECH)Pohang 37673Republic of Korea POSCO-POSTECH-RIST Convergence Research Center for Flat Optics and Metaphotonics Pohang 37673Republic of Korea National Institute of Nanomaterials Technology(NINT) Pohang 37673Republic of Korea

The field of high-bandwidth holography has been extensively studied over the past *** angular momentum(OAM)holography,which utilizes vortex beams with theoretically unbounded OAM modes as information carriers,showcases the large capacitance of hologram ***,OAM holography has been limited to a single wavelength,restricting its potential for full-color holography and *** this study,we propose wavelength and OAM multiplexed holography that utilizes the multiple dimensions of light—wavelength and OAM—to provide a multi-color platform that expands the information capacity of holographic storage *** proposed wavelength-OAM multiplexed holography is physically realized by a metasurface,the state-of-the-art optical element consisting of an array of artificially engineered *** silicon meta-atoms,the constituents of the metasurface,are engineered to possess wavelength selectivity by tailoring the dispersion of polarization *** meta-atoms are used to encode the calculated OAM-preserved phase maps based on our *** sampling grid of the phase map is rotated by 45°,which effectively suppress higher-order diffraction,providing a great strategy for achieving large field-of-view(FOV)*** successfully demonstrate six holographic images that are selectively reconstructed under the illumination of light with specific wavelengths(λ=450,635 nm)and topological charges(l=-2,0,2),without high-order *** work suggests that ultrathin meta-holograms can potentially realize ultrahigh-bandwidth full-color holography and holographic video displays with large FOV.

关键词： Metasurface Meta-holography Wavelength-multiplexed holography OAM holography

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SSVEP-BCI in Augmented Reality in Realistic Environment

SSVEP-BCI in Augmented Reality in Realistic Environment

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International Conference on Electrical engineering/Electronics, computer, Telecommunications and Information technology, ECTI-CON

作者： Bhuwit Chaiyarit Setha Pan-Ngum Pasin Israsena Arpa Suwannarat Apit Hemakom Department of Computer Engineering Faculty of Engineering Chulalongkorn University Bangkok Thailand Biomedical Electronics and Systems Research Team National Electronics and Computer Technology Center Pathumthani Thailand

ISBN: (数字)9798350381559

ISBN: (纸本)9798350381566

This study investigates Augmented Reality-based Steady-State Visually Evoked Potentials (AR-SSVEP) in Brain-computer Interface (BCI) systems, utilizing Extended Filter Bank Canonical Correlation Analysis (Extended-FBCCA) for SSVEP recognition optimization across various frequencies. The 10 Hz stimulus consistently achieves the highest recognition accuracy. Frequency-specific variations at 12 Hz, 13 Hz, and 15 Hz highlight nuanced SSVEP responses. White stimuli yield PC-SSVEP recognition ranging from 68.32% to 81.98%, slightly outperforming AR-SSVEP-Controlled (63.59% to 73.23%). Red stimuli impact AR-SSVEP-Controlled less than PC-SSVEP, with recognition ranges of 68.65% to 76.30% and 67.97% to 76.72%, respectively. Comparisons show a general slight outperformance of PC-SSVEP, with exceptions suggesting frequency-specific outcomes. AR-SSVEP-Controlled surpasses AR-SSVEP-Static, emphasizing the impact of a controlled visual environment. AR-SSVEP-Static recognition ranges from 33.49% to 54.59% for white stimuli and 36.15% to 53.04% for red stimuli. Subjects' movement in AR-SSVEP-Walk consistently lowers accuracy, ranging from 31.74% to 47.70% for white stimuli and 26.43% to 41.67% for red stimuli, with frequency-specific exceptions. Stimulus colors' complex effects underscore the requirement for stimulus color selections. Spatial distribution analysis reveals higher accuracy in the O-region. Overall, this study navigates the complex interaction between AR-SSVEP and environmental conditions. Future research may focus on developing algorithms for automatic configuration selection in Extended-FBCCA, ensuring adaptability to varying frequencies and real-world conditions.

关键词： Visualization Accuracy Frequency modulation Correlation Navigation Signal processing algorithms Color

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Lightweight Authenticated Key Agreement Protocol for Smart Power Grid Systems Using PUF

IEEE Open Journal of the Communications Society

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IEEE Open Journal of the Communications Society 2024年 5卷 3568-3580页

作者： Zahoor, Amina Mahmood, Khalid Saleem, Muhammad Asad Badar, Hafiz Muhammad Sanaullah Le, Tuan-Vinh Das, Ashok Kumar Department of Computer Science Sahiwal57000 Pakistan National Yunlin University of Science and Technology Graduate School of Intelligent Data Science Douliu64002 Taiwan University of Electronic Science and Technology of China School of Computer Science and Engineering Chengdu611731 China Emerson University Multan Department of Emerging Computing Technologies Multan61000 Pakistan Fu Jen Catholic University Bachelor's Program of Artificial Intelligence and Information Security New Taipei City24206 Taiwan International Institute of Information Technology Hyderabad Center for Security Theory and Algorithmic Research Hyderabad500032 India

The Smart Power Grid (SPG) is pivotal in orchestrating and managing demand response in contemporary smart cities, leveraging the prowess of Information and Communication Technologies (ICTs). Within the immersive SPG environment, the ubiquitous deployment of smart meters stands as a testament to their paramount importance in the realm of vigilant monitoring and oversight. These smart meters are installed on high-tension electricity lines and transmit information about electricity outages and other issues to the utility center. To access services from utility centers, smart meters need to communicate securely over a public channel, even though the network itself is insecure. However, potential attacks from adversaries ( Ad) can exploit this communication. Therefore, protecting this communication is of utmost importance. Several privacy-preserving authentication protocols designed for SPG have been introduced in the literature. Nevertheless, a significant number of these protocols exhibit vulnerabilities to diverse security attacks. This article introduces a lightweight and anonymous authentication protocol specifically designed to address these concerns in the SPG environment. Our protocol ensures both security and efficiency, surpassing other comparable protocols in terms of its lightweight nature. By employing both formal and informal analysis, we showcase the robustness of our protocol against significant attacks while remaining lightweight. The proposed protocol provides added security features and incurs 23.8879% lower computation cost than related protocols. Consequently, our protocol is highly suitable for implementation in the SPG system. © 2020 IEEE.

关键词： Hash functions

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Causal-IQA: Towards the Generalization of Image Quality Assessment Based on Causal Inference 41

Causal-IQA: Towards the Generalization of Image Quality Asse...

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41st International Conference on Machine Learning, ICML 2024

作者： Zhong, Yan Wu, Xingyu Zhang, Li Yang, Chenxi Jiang, Tingting School of Mathematical Sciences Peking University Beijing China National Engineering Research Center of Visual Technology National Key Laboratory for Multimedia Information Processing School of Computer Science Peking University Beijing China Department of Computing The Hong Kong Polytechnic University Hong Kong Hefei Institute of Physical Science Chinese Academy of Sciences University of Science and Technology of China Hefei China National Biomedical Imaging Center Peking University Beijing China

Due to the high cost of Image Quality Assessment (IQA) datasets, achieving robust generalization remains challenging for prevalent deep learning-based IQA *** address this, this paper proposes a novel end-to-end blind IQA method: ***, we first analyze the causal mechanisms in IQA tasks and construct a causal graph to understand the interplay and confounding effects between distortion types, image contents, and subjective human ***, through shifting the focus from correlations to causality, Causal-IQA aims to improve the estimation accuracy of image quality scores by mitigating the confounding effects using a causality-based optimization *** optimization strategy is implemented on the sample subsets constructed by a Counterfactual Division process based on the Backdoor *** experiments illustrate the superiority of Causal-IQA. Copyright 2024 by the author(s)

关键词： Image correlation

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Aluminum Scandium Nitride Lamb Wave Acoustic Delay Lines with Over 6% Fractional Bandwidth 22

Aluminum Scandium Nitride Lamb Wave Acoustic Delay Lines wit...

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22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023

作者： Luo, Zhifang Shao, Shuai Lee, Chengkuo Wu, Tao School Of Information Science And Technology ShanghaiTech University China Shanghai Institute Of Microsystem And Information Technology Chinese Academy Of Sciences China University Of Chinese Academy Of Sciences China Shanghai Engineering Research Center Of Energy Efficient And Custom Ai Ic China Department Of Electrical & Computer Engineering National University Of Singapore Singapore Center For Intelligent Sensors And Mems National University Of Singapore Singapore

ISBN: (纸本)9784886864352

We report the low loss and broad fractional bandwidth (FBW) Acoustic Delay Lines (ADLs) based on 16% Sc-doped Aluminum Scandium Nitride (Al0.84Sc0.16N) Thin film. The fabricated ADLs show 3-dB FBW of 6.3% and minimum insertion loss (IL) of 5.6 dB at approximately 808 MHz. The ADLs with delay ranges from 20 ns to 41 ns have been demonstrated. A high group velocity of 9116 m/s is extracted utilizing fundamental symmetric (S0) mode Lamb wave. The simultaneous high-speed and broadband illustrate the great potential of AlScN ADLs for signal processing in the future. © 2023 IEEJ.

关键词： Acoustic delay lines AlScN SPUDT

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