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30th Annual Network and Distributed System Security Symposium, NDSS 2023

作者： Chen, Tianyang Xu, Peng Picek, Stjepan Luo, Bo Susilo, Willy Jin, Hai Liang, Kaitai National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab China Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering China Cluster and Grid Computing Lab School of Computer Science and Technology China Huazhong University of Science and Technology Wuhan430074 China Digital Security Group Radboud University Nijmegen Netherlands Department of EECS Institute of Information Sciences The University of Kansas LawrenceKS United States Institute of Cybersecurity and Cryptology School of Computing and Information Technology University of Wollongong WollongongNSW2522 Australia Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft2628 CD Netherlands

ISBN: (纸本)1891562835

Dynamic searchable symmetric encryption (DSSE) enables users to delegate the keyword search over dynamically updated encrypted databases to an honest-but-curious server without losing keyword privacy. This paper studies a new and practical security risk to DSSE, namely, secret key compromise (e.g., a user’s secret key is leaked or stolen), which threatens all the security guarantees offered by existing DSSE schemes. To address this open problem, we introduce the notion of searchable encryption with key-update (SEKU) that provides users with the option of non-interactive key updates. We further define the notion of post-compromise secure with respect to leakage functions to study whether DSSE schemes can still provide data security after the client’s secret key is compromised. We demonstrate that post-compromise security is achievable with a proposed protocol called "Bamboo". Interestingly, the leakage functions of Bamboo satisfy the requirements for both forward and backward security. We conduct a performance evaluation of Bamboo using a real-world dataset and compare its runtime efficiency with the existing forward-and-backward secure DSSE schemes. The result shows that Bamboo provides strong security with better or comparable performance. © 2023 30th Annual Network and Distributed System Security Symposium, NDSS 2023. All Rights Reserved.

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Deep-sea Nodule Mineral Image Segmentation Algorithm Based on Pix2PixHD

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computers, Materials & Continua 2022年第10期73卷 1449-1462页

作者： Wei Song Haolin Wang Xinping Zhang Jianxin Xia Tongmu Liu Yuxi Shi School of Information and Engineering Minzu University of ChinaBeijing100081China Key Laboratory of Marine Environmental Survey Technology and Application Ministry of Natural ResourceGuangzhou510300China National Language Resource Monitoring&Research Center of Minority Languages Beijing100081China School of Ocean Science China University of GeosciencesBeijing100191China Department of Buoy Engineering South China Sea Marine Survey and Technology CenterGuangzhou510300China Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewarkNew Jersey07102USA

Deep-sea mineral image segmentation plays an important role in deep-sea mining and underwater mineral resource monitoring and *** application of artificial intelligence technology to deep-sea mining projects can effectively improve the quality and efficiency of *** existing deep learning-based underwater image segmentation algorithms have problems such as the accuracy rate is not high enough and the running time is slightly *** order to improve the segmentation performance of underwater mineral images,this paper uses the Pix2PixHD(Pixel to Pixel High Definition)algorithm based on Conditional Generative Adversarial Network(CGAN)to segment deep-sea mineral *** model uses a coarse-to-fine generator composed of a global generation network and two local enhancement networks,and multiple multi-scale discriminators with same network structures but different input pictures to generate highquality *** test results on the deep-sea mineral datasets show that the Pix2PixHD algorithm can identify more target minerals under certain other *** evaluation index shows that the Pix2PixHD algorithm effectively improves the accuracy rate and the recall rate of deep-sea mineral image segmentation compared with the CGAN algorithm and the U-Net *** is important for expanding the application of deep learning techniques in the field of deep-sea exploration and mining.

关键词： Deep-sea mineral image segmentation generative adversarial network

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A 41.32Gb/s 1.8 pJ/bit Collaborative Baud-Rate CDR With Background Eye-Climbing Algorithm and Low-Power Global Clock Distribution

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IEEE Journal of Solid-State Circuits 2025年

作者： Kim, Jihee Park, Jia Shin, Jiwon Kim, Hanseok Kim, Kahyun Shin, Haengbeom Park, Ha-Jung Choi, Woo-Seok Georgia Institute of Technology Department of Electrical and Computer Engineering AtlantaGA30332 United States Inter University Semiconductor Research Center Seoul National University Department of Electrical and Computer Engineering Seoul08826 Korea Republic of Samsung Electronics Hwaseong18448 Korea Republic of

This article presents design techniques for an energy-efficient multi-lane receiver (RX) with baud-rate clock and data recovery (CDR), which is essential for high-throughput low-latency communication in high-performance computing systems. The proposed low-power global clock distribution not only significantly reduces power consumption across multi-lane RXs but is capable of compensating for the frequency offset without any phase interpolators (PIs). To this end, a fractional divider (FDIV) controlled by CDR is placed close to the global phase locked loop. Moreover, in order to address the suboptimal lock point of conventional baud-rate phase detectors, the proposed CDR employs a background eye-climbing algorithm (ECA), which optimizes the sampling phase and maximizes the vertical eye margin (VEM). Fabricated in a 28 nm CMOS process, the proposed 43.32Gb/s RX shows a low integrated fractional spur of -40.4 dBc at a 2500 ppm frequency offset. Furthermore, it improves bit-error-rate (BER) performance by increasing the VEM by 26 mV. The entire RX achieves the energy efficiency of 1.8 pJ/bit with the aggregate data rate of 128 Gb/s. © 1966-2012 IEEE.

关键词： Phase locked loops

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Magnetic GAA (MAG-GAA) for Vertical and Horizontal Magnetic Field Detection

Magnetic GAA (MAG-GAA) for Vertical and Horizontal Magnetic ...

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International Electrical engineering Congress (iEECON)

作者： Khine Thandar Nyunt Swe Amporn Poyai Toempong Phetchakul Department of Electronics Engineering School of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand Industrial IOT and Automation Research Group (IIARG) National Electronics and Computer Technology Center National Science and Technology Development Agency (NSTDA) Pathumthani Thailand

ISBN: (数字)9798350383591

ISBN: (纸本)9798350383607

The Gate All Around (GAA) is introduced as a magnetic sensor to sense the vertical and horizontal magnetic field applied to the device. Magnetic GAA (MAG-GAA) consisting of one source contact, one gate contact wrapped around the channel, and four drain contacts are created and simulated for the two-dimensional magnetic field detection using Sentaurus. The proposed device structure of MAG-GAA is designed and operated based on the current mode of the Hall effect. The vertical magnetic field is sensed by activating the drain contacts D 1 and D 2 . To detect the horizontal magnetic field, the drain contacts D 3 and D 4 positioned at the top and bottom surfaces of the device are enabled. The differential drain current is obtained as the magnetic response in both detections. MAG-GAA in which the channel length and width are 10 nm and 5 nm respectively is simulated by applying the magnetic field 0.1 T, 0.2 T, 0.3 T, 0.4 T, and 0.5 T in +z, -z, +y, and -y directions. Their respective magnetic responses are illustrated, and the Hall current reaches the highest value at the magnitude of the magnetic field 0.5 T in both cases of magnetic field detection. The sensitivity of MAG-GAA for vertical magnetic field detection is better than its sensitivity for the horizontal magnetic field.

关键词： Performance evaluation Electrical engineering Sensitivity Magnetic field measurement Magnetic sensors Gallium arsenide Magnetic devices

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UDT:U-shaped deformable transformer for subarachnoid haemorrhage image segmentation

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CAAI Transactions on Intelligence technology 2024年第3期9卷 756-768页

作者： Wei Xie Lianghao Jin Shiqi Hua Hao Sun Bo Sun Zhigang Tu Jun Liu Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning Central China Normal UniversityWuhanChina School of Computer Science Central China Normal UniversityWuhanChina National Language Resources Monitoring and Research Center for Network Media Central China Normal UniversityWuhanChina The First Affiliated Hospital of Dalian Medical University DalianChina State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina Information Systems Technology and Design Pillar Singapore University of Technology and DesignSingaporeSingapore

Subarachnoid haemorrhage(SAH),mostly caused by the rupture of intracranial aneu-rysm,is a common disease with a high fatality *** lesions are generally diffusely distributed,showing a variety of scales with irregular *** complex characteristics of lesions make SAH segmentation a challenging *** cope with these difficulties,a u-shaped deformable transformer(UDT)is proposed for SAH ***,first,a multi-scale deformable attention(MSDA)module is exploited to model the diffuseness and scale-variant characteristics of SAH lesions,where the MSDA module can fuse features in different scales and adjust the attention field of each element dynamically to generate discriminative multi-scale ***,the cross deformable attention-based skip connection(CDASC)module is designed to model the irregular edge char-acteristic of SAH lesions,where the CDASC module can utilise the spatial details from encoder features to refine the spatial information of decoder ***,the MSDA and CDASC modules are embedded into the backbone Res-UNet to construct the proposed *** experiments are conducted on the self-built SAH-CT dataset and two public medical datasets(GlaS and MoNuSeg).Experimental results show that the presented UDT achieves the state-of-the-art performance.

关键词： image segmentation medical image processing

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A simulation of diesel and biodiesel blending for energy generation

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International Journal of Ambient Energy 2024年第1期45卷

作者： Hassan, Mohamed Bakather, Omer Y. Hegazi, Salah Eldeen F. Eldoma, Mubarak A. Abdelgiom, Mahmoud Abdelrahim Abutaleb, Ahmed Ismail, Mohamed Chemical Engineering Department College of Engineering and Computer Sciences Jazan University Jazan Saudi Arabia Civil and Architectural Engineering Department College of Engineering and Computer Sciences Jazan University Jazan Saudi Arabia Department of Chemical Engineering College of Engineering King Khalid University Abha Saudi Arabia Institute of Engineering Research and Materials Technology National Center for Research Khartoum Sudan

This study is to simulate bioenergy in the Saudi energy sector. The methodologies used in this study include the simulation of biodiesel blends in power plants. GIS software was used to calculate the area of Jatropha plants cultivated (228.5 km2) to produce 1.62 kg/s Jatropha oil. The results showed that the validation was done by comparing the net power output (72.3 MW) and efficiency of 30.44% of the real energy plant with the simulation net power output of 69.15 MW and efficiency of 30.67%. The efficiency was increased to 51.1% after the simple cycle was modified to the combined cycle. Biodiesel (1.534 kg/s) was blended with diesel. The blended diesel and biodiesel were examined and the effect of the blends on the combined cycle power plant performance was inspected. The overall result revealed that the energy from biodiesel can be an alternative to support the Saudi Arabia Vision 2030. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Biodiesel

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Method for Estimating Locations of Laser-Induced Stray Charges on Surface-Electrode Ion Traps Using Secular Frequency Shift at Multiple Ion Positions

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Physical Review Applied 2023年第1期20卷 014032-014032页

作者： Changhyun Jung Junho Jeong Seungwoo Yoo Taehyun Kim Dongil “Dan” Cho Department of Electrical and Computer Engineering Seoul National University Seoul 08826 Republic of Korea Automation and System Research Institute Seoul National University Seoul 08826 Republic of Korea Inter-university Semiconductor Research Center Seoul National University Seoul 08826 Republic of Korea Department of Computer Science and Engineering Seoul National University Seoul 08826 Republic of Korea Institute of Computer Technology Seoul National University Seoul 08826 Republic of Korea

This paper develops a method for estimating the locations of laser-induced stray charges on surface-electrode ion traps. How the electric potential at the trapped-ion location changes in the presence of laser-induced stray charges is theoretically modeled, and the magnitude of the shift in the secular frequency of a trapped ion is derived from the model. This model can be used inversely to find the locations of stray charges from the secular frequency shift under certain conditions. Typically, this inverse relationship is not unique. However, in surface-electrode ion traps, the secular frequency shift caused by the stray charges can be measured at multiple ion positions, and therefore, the required number of secular-frequency-shift measurements can be performed to determine the stray-charge locations uniquely. This model is experimentally evaluated by intentionally producing electric charges at a single location by irradiating a laser onto that spot and by measuring the resulting secular frequency shift. The location of produced charges is estimated from the measured result, and the estimated location is consistent with where the laser is irradiating. The developed method can be applied to characterize the laser-induced stray charges, which in turn can be used to design experiments to avoid or reduce the occurrence of stray charges.

关键词： Atom & ion trapping & guiding Charge Electric field effects Metrology Photoinduced effect Quantum information with trapped ions Trapped ions Laser techniques

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Weighting Assessment of the Effect of Chinese State-Changing Words on Emotions

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Journal of Psycholinguistic research 2023年第6期52卷 2545-2566页

作者： Chang, Chia-Yueh Tsai, Meng-Ning Sung, Yao-Ting Cho, Shu-Ling Chen, Hsueh-Chih Department of Educational Psychology and Counseling National Taiwan Normal University Education College Building Room 612 No. 162 Sec. 1 Heping E. Rd. Da-an District Taipei City 10610 Taiwan Chinese Language and Technology Center National Taiwan Normal University Taipei Taiwan Institute for Research Excellence in Learning Sciences National Taiwan Normal University Taipei Taiwan Department of Computer Science and Information Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan Graduate Institute of Information and Computer Education National Taiwan Normal University Taipei Taiwan Department of Clinical Psychology Fu-Jen Catholic University Taipei Taiwan NSTC AI Biomedical Research Center Taipei Taiwan

Past studies of sentiment analysis have mainly applied algorithms based on vocabulary categories and emotional characteristics to detect the emotionality of text. However, the collocation of state-changing words and emotional vocabulary affects emotions. For example, adverbs of degree strengthen emotions, and negative adverbs reverse emotions. This study investigated the weighted effect of state-changing words on emotion. The research material comprised 73 state-changing words that were collocated with four emotions: happiness, sadness, fear, and anger. A total of 84 participants participated in the vocabulary assessment. The results revealed that state-changing words could be classified into four types: intensifying, weakening, neutralizing, and reversing. In a comparison of the weighting factors among emotions, the weighting effect of the same state-changing word in the positive emotion category was particularly evident. The results could serve as a reference for follow-up studies on detecting emotions in text. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

关键词： Emotion Language intensity Negativity effect Pollyanna principle State-changing word

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PLUG: Revisiting Amodal Segmentation with Foundation Model and Hierarchical Focus

arXiv

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arXiv 2024年

作者： Liu, Zhaochen Qiao, Limeng Chu, Xiangxiang Jiang, Tingting National Engineering Research Center of Visual Technology National Key Laboratory for Multimedia Information Processing School of Computer Science Peking University China AI Innovation Center School of Computer Science Peking University China Meituan Inc China National Biomedical Imaging Center Peking University China

Aiming to predict the complete shapes of partially occluded objects, amodal segmentation is an important step towards visual intelligence. With crucial significance, practical prior knowledge derives from sufficient training, while limited amodal annotations pose challenges to achieve better performance. To tackle this problem, utilizing the mighty priors accumulated in the foundation model, we propose the first SAM-based amodal segmentation approach, PLUG. Methodologically, a novel framework with hierarchical focus is presented to better adapt the task characteristics and unleash the potential capabilities of SAM. In the region level, due to the association and division in visible and occluded areas, inmodal and amodal regions are assigned as the focuses of distinct branches to avoid mutual disturbance. In the point level, we introduce the concept of uncertainty to explicitly assist the model in identifying and focusing on ambiguous points. Guided by the uncertainty map, a computation-economic point loss is applied to improve the accuracy of predicted boundaries. Experiments are conducted on several prominent datasets, and the results show that our proposed method outperforms existing methods with large margins. Even with fewer total parameters, our method still exhibits remarkable advantages. The code and models will be publicly available. Copyright © 2024, The Authors. All rights reserved.

关键词： Large datasets

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LOCRET: Enhancing Eviction in Long-Context LLM Inference with Trained Retaining Heads on Consumer-Grade Devices

arXiv

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arXiv 2024年

作者： Huang, Yuxiang Yuan, Binhang Han, Xu Xiao, Chaojun Liu, Zhiyuan Department of Computer Science and Technology Institute for Artificial Intelligence Beijing National Research Center for Information Science and Technology Tsinghua University Beijing China Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong

Scaling the input context length of a large language model (LLM) incurs a significant increase in computation cost and memory footprint to maintain the attention key-value (KV) cache. Existing KV cache compression methods suffer from inefficient compression strategies and limited memory reduction effects, making it difficult for LLMs to conduct long-context inference on consumer-grade devices, especially when inferring long-context stream input. Such obstacles prevent consumer-grade devices from supporting more complex applications, creating challenges for the democratization of LLMs. To overcome this, we propose LOCRET, the first framework to create an eviction policy compatible with chunked prefill. By evaluating the causal importance of KV cache units by learnable retaining heads, LOCRET enables precise eviction of cache units, facilitating efficient long-context inference. In our extensive empirical studies, LOCRET outperforms the recent popular and competitive approaches in terms of memory efficiency and generation quality — LOCRET achieves up to 20× of KV cache compression ratio within less than 10% performance loss. Furthermore, LOCRET achieves 128K+ long-context inference on a single NVIDIA 4090 GPU without compromising generation quality and only costs © 2024, CC BY.

关键词： Cache memory

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