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Proceedings of the 38th International Conference on Neural Information Processing Systems

作者： Shahar Yadin Noam Elata Tomer Michaeli Faculty of Electrical and Computer Engineering Technion - Israel Institute of Technology

ISBN: (纸本)9798331314385

A prominent family of methods for learning data distributions relies on density ratio estimation (DRE), where a model is trained to classify between data samples and samples from some reference distribution. DRE-based models can directly output the likelihood for any given input, a highly desired property that is lacking in most generative techniques. Nevertheless, to date, DRE methods have failed in accurately capturing the distributions of complex high-dimensional data, like images, and have thus been drawing reduced research attention in recent years. In this work we present classification diffusion models (CDMs), a DRE-based generative method that adopts the formalism of denoising diffusion models (DDMs) while making use of a classifier that predicts the level of noise added to a clean signal. Our method is based on an analytical connection that we derive between the MSE-optimal denoiser for removing white Gaussian noise and the cross-entropy-optimal classifier for predicting the noise level. Our method is the first DRE-based technique that can successfully generate images beyond the MNIST dataset. Furthermore, it can output the likelihood of any input in a single forward pass, achieving state-of-the-art negative log likelihood (NLL) among methods with this property. Code is available on the project's https://***/CDM/.

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A Self-Balanced Five-Level Buck PFC EV Rectifier 49

A Self-Balanced Five-Level Buck PFC EV Rectifier

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Agarwal, Ritika Jain, Anekant Gupta, Krishna Kumar Jain, Sanjay K. Bhatnagar, Pallavee Ibanez, Federico Martin Nikolovski, Srete Thapar Institute of Engineering & Technology Department of Electrical and Instrumentation Engineering Patiala India Manipal Institute of Technology Mahe Department of Mechatronics Manipal India Center for Energy Science and Technology Skolkovo Institute of Science and Technology Moscow Russia Faculty of Electrical Engineering Computer Science and Information Technology Osijek Croatia

ISBN: (纸本)9798350331820

This paper introduces a new self-balancing buck PFC Multilevel Rectifier based on a five-level Switched Capacitors (SCs) architecture. The proposed design offers a broad range of output voltage, enabling operation with various loads and accommodating both single and double/dual output modes. Additionally, it ensures effective load voltage balancing, even when the both loads have different values. The rectifier functions in buck operation mode and provides extensive output voltage regulation, making it suitable for simultaneous electric vehicle (EV) battery charging. To evaluate the performance of proposed rectifier this paper explores the operating principle, modulation strategy, closed-loop control, and experimental validation with same and different load variation scenarios. © 2023 IEEE.

关键词： Rectifying circuits

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Terminal-ileum Centerline Extraction from Magnetic Resonance Enterography Data of Crohn's Disease Patients

Terminal-ileum Centerline Extraction from Magnetic Resonance...

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2023 IEEE EMBS Special Topic Conference on Data Science and engineering in Healthcare, Medicine and Biology, IEEECONF 2023

作者： Benisty, Rotem Shinnawi, Faten Haj Ali Porat, Moshe Illivitzki, Anat Freiman, Moti Faculty of Electrical & Computer Engineering Technion - Israel Institute of Technology Haifa Israel Rambam Health Care Campus Department of Radiology Haifa Israel Faculty of Biomedical Engineering Technion Israel Institute of Technology Haifa Israel

ISBN: (纸本)9798350383386

Crohn's disease (CD), a chronic inflammatory bowel disorder, often affects the terminal ileum (TI) and leads to digestive tract inflammation and complications like bowel obstruction. Accurately determining the 3D extent of CD from 2D Magnetic Resonance Enterography (MRE) images requires approximations, as no automated 3D measurement system exists. We developed an intelligent MRE reading application for virtual unfolding and 3D visualization of MRE data. We introduce a semi-automatic algorithm to predict the TI centerline from MRE data to reduce radiologist interaction time. The algorithm involves constructing an orientation classifier and implementing a shortest path algorithm to determine the TI centerline. We evaluated the algorithm's effectiveness on a database of 123 MRE scans using a k-fold cross-validation experimental setup, comparing the predicted centerline with a radiologist-annotated centerline considered as ground-truth. The results showed good alignment with the ground-truth centerline with minimal interaction *** relevance: This study introduces a semi-automatic algorithm that accurately predicts the terminal ileum centerline from MRE data, streamlining the diagnostic process for Crohn's disease. By reducing radiologist interaction time in assessing the 3D extent of the disease from 2D images, the algorithm holds promise for improving early diagnosis and treatment strategies for affected patients. © 2023 IEEE.

关键词： Magnetic resonance

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EEG Information Transfer Changes in Different Daily Fatigue Levels during Drowsy Driving

IEEE Open Journal of Engineering in Medicine and Biology

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IEEE Open Journal of engineering in Medicine and Biology 2024年 5卷 180-190页

作者： Huang, Kuan-Chih Tseng, Chun-Ying Lin, Chin-Teng National Yang Ming Chiao Tung University Brain Science and Technology Center Hsinchu300 Taiwan University of Technology Sydney Australian Artificial Intelligence Institute Faculty of Engineering and IT SydneyNSW2007 Australia National Yang Ming Chiao Tung University Brain Science and Technology Center Department of Electrical and Computer Engineering Hsinchu300 Taiwan

A significant issue for traffic safety has been drowsy driving for decades. A number of studies have investigated the effects of acute fatigue on spectral power;and recent research has revealed that drowsy driving is associated with a variety of brain connections in a specific cortico-cortical pathway. In spite of this, it is still unclear how different brain regions are connected in drowsy driving at different levels of daily fatigue. This study identified the brain connectivity-behavior relationship among three different daily fatigue levels (low-, median-and high-fatigue) with the EEG data transfer entropy. According to the results, only low-and medium-fatigue groups demonstrated an inverted U-shaped change in connectivity from high performance to poor behavioral performance. In addition, from low-to high-fatigue groups, connectivity magnitude decreased in the frontal region and increased in the occipital region. These study results suggest that brain connectivity and driving behavior would be affected by different levels of daily fatigue. © 2020 IEEE.

关键词： Electroencephalography

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Multimodal Gait Analysis Acquisition System: Challenges and Lessons Learned

Multimodal Gait Analysis Acquisition System: Challenges and ...

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2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023

作者： Ruiz, Karla Michelle Marquez Cervantes, Pilar Pineda Villa, Carlos Martinez-Villasenor, Lourdes Ponce, Hiram Barrera-Animas, Ari Y. Universidad Panamericana Cdmx Faculty of Enginnering Mexico Massachusetts Institute of Technology Electrical Engineering and Computer Science Boston United States

ISBN: (纸本)9781665430654

Nowadays, gait data analysis has become an ex-tremely valuable tool that, without much knowledge, provides significant support in various areas, especially in medicine. This type of analysis not only contributes to generating accurate diagnoses but also plays a fundamental role in physical rehabilitation processes. To harness the potential of this analysis, a multimodal system is being developed with the purpose of enhancing the storage, analysis, and synchronization of multiple modules. The imperative arises from certain constraints within prevailing devices and methods, which stem from their intricate and delicate nature. Therefore, the aim of the study involves creating an implementation that prioritizes flexibility, lightness, and autonomy, all with the ultimate aim of attaining complete self-sufficiency in future advancements. © 2023 IEEE.

关键词： autonomy gait medicine multimodal system

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A PSR Enhancement Scheme: An Overview of Feed-Forward Ripple Cancellation Technique 15

A PSR Enhancement Scheme: An Overview of Feed-Forward Ripple...

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15th IEEE International Conference on ASIC, ASICON 2023

作者： Zheng, Wentao Wang, Xiaohang Qian, Libo Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo China Xidian University Hangzhou Institute of Technology Hangzhou China

ISBN: (纸本)9798350312980

Power supply rejection (PSR) is a critical performance metric that evaluate the LDO's ability to suppress supply noise. Typical analog low drop-out regulator (A-LDO) achieves high PSR at low-frequency region and light load conditions. However, the PSR performance degrades due to reduced loop gain of an LDO at high frequencies and heavy load currents. Prior works on enhancing the PSR performance include increasing loop bandwidth or loop gain, using cascode structure by stacking transistors on power transistor, cascading two regulators. While these techniques improve the PSR at the cost of increasing design complexity and increasing losses. Compared with the above methods, the feed-forward ripple cancellation (FFRC) technique, being an auxiliary feed-forward path, can effectively improve the PSR performance of the LDOs at the expense of low design complexity and quiescent power and becomes the focus of researchers. In this paper, the injection methods of FFRC and four different FFRC circuit structures are overviewed, compared, and discussed. Then, the design guideline for a high PSR and low quiescent current A-LDO is drawn. © 2023 IEEE.

关键词： analog low drop-out regulator auxiliary feed-forward path feed-forward ripple cancellation technique low quiescent current power supply rejection

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Quantum-Enhanced Microscopy Using Electron Number Pulses

Quantum-Enhanced Microscopy Using Electron Number Pulses

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CLEO: Fundamental Science, CLEO:FS 2024 - Part of Conference on Lasers and Electro-Optics, CLEO 2024

作者： Nussinson, Ethan Even-Haim, Shiran Elimelech, Rotem Ruimy, Ron Israel, Yonatan Kaminer, Ido Faculty of Electrical & Computer Engineering Faculty of Physics Solid State Institute Technion - Israel Institute of Technology Haifa32000 Israel School of Physics and Astronomy Faculty of Exact Sciences Tel Aviv University Tel Aviv69978 Israel

ISBN: (纸本)9781957171395

We propose a quantum phase estimation protocol in electron microscopy and holography, breaking the shot-noise limit despite the intrinsic Poisson-statistics of electron sources. This surprising capability is enabled by nondestructive measurements heralding number-state electron pulses. © 2024 The Author(s) © Optica Publishing Group 2024.

关键词： Poisson distribution

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Sub-50mV Bootstrap Clock Booster and Integrated Cold Start for Thermoelectric Energy Harvesting 15

Sub-50mV Bootstrap Clock Booster and Integrated Cold Start f...

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15th IEEE International Conference on ASIC, ASICON 2023

作者： Wang, Haizhun Wang, Xiudeng Xia, Yinshui Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo China Xidian University Hangzhou Institute of Technology Hangzhou China

ISBN: (纸本)9798350312980

A sub-50mV bootstrap clock booster (BCB) is proposed for driving conventional Dickson charge pump (CP) to meet the need of the strobe pulse generation in cold start for thermoelectric energy harvesting. The proposed BCB can boost two antiphase clocks three times compared to the original swing amplitude which reduces the stage number of the CP and helps step up the input voltage faster. The complete circuit is simulated in a 0.18-μm CMOS process. The simulated results demonstrate that the BCB-based CP can boost the input voltage from 50mV to 588mV for a 500 MΩ load in 100 ms and the output current can completely satisfy the Strobe Generation Unit (SGU) to realize fully integrated cold start for ultra-low-voltage thermoelectric energy harvesting (TEH). © 2023 IEEE.

关键词： charge pump (CP) clock booster ring oscillator (RO) thermoelectric energy harvesting (TEH) ultra-low-voltage

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Cyber Twin technology for AI-Driven Real-Time Software Security in IoT Ecosystems 4

Cyber Twin Technology for AI-Driven Real-Time Software Secur...

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4th IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2024

作者： Sunkara, Krishna Chaitanya Dhasmana, Gulshan Ravi, K.S. Nayana Yadav, M. Desai, Ishan Shankar, Rajmani Oracle Cloud Engineering Data Center NC United States Graphic Era Deemed to be University Department of Computer Science & Engineering Dehradun India Vidyavardhaka College of Engineering Department of Mechanical Engineering Mysuru India Aj Institute of Engineering and Technology Department of Computer Science and Engineering Mangalore India Parul institute of Engineering and Technology Parul University Faculty of Engineering and Technology Department of Electrical Engineering Gujarat India Faculty of Law Pune India

ISBN: (纸本)9798350352931

As Internet of Things (IoT) ecosystems grow more complex, ensuring real-time security has become a major challenge. Traditional security approaches are insufficient for handling dynamic and interconnected IoT networks, which are increasingly targeted by sophisticated cyber-attacks. To address these issues, new methodologies that combine real-time monitoring and adaptive security mechanisms are needed. Cyber Twin technology, an innovative extension of digital twin technology, presents a promising solution by creating AI-driven digital replicas of IoT devices and software systems for continuous security monitoring and management. This paper introduces a Cyber Twin technology Framework for AI-driven real-time software security in IoT ecosystems. The framework employs advanced AI models, including Convolutional Neural Networks (CNNs) for anomaly detection and Generative Adversarial Networks (GANs) for synthetic data generation to simulate potential attack scenarios. A dynamic reinforcement learning module is integrated to optimize threat response strategies based on evolving threat patterns. By creating real-time digital replicas of IoT components, the Cyber Twin framework continuously monitors device behaviors, identifies anomalies, and autonomously initiates mitigation actions. The system is evaluated in a simulated IoT environment with over 500 interconnected devices. Experimental results demonstrate that the Cyber Twin framework achieved a 99.2% detection accuracy in identifying cyber threats, with a false positive rate of 1.3%. The dynamic response module reduced incident response time by 35% compared to traditional methods, enhancing the system's ability to neutralize potential threats in real-time. The use of GAN-based synthetic data also enabled proactive defense strategies, reducing attack success rates by 40% during testing. The Cyber Twin technology Framework provides a robust solution for real-time software security in complex IoT ecosystems. By leveraging A

关键词： Generative adversarial networks

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Selection of a Simple 5G Handover Algorithm: Preparation for Named Data Networking 10

Selection of a Simple 5G Handover Algorithm: Preparation for...

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10th International Conference on Wireless and Telematics, ICWT 2024

作者： Nurhayati, Ade Ahdan, Syaiful Juhana, Tutun Syambas, Nana Rachmana Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung40132 Indonesia Telkom University Faculty of Applied Science Jakarta11710 Indonesia Universitas Teknokrat Indonesia Faculty of Engineering & Computer Science 35132 Indonesia

ISBN: (纸本)9798350377057

Named Data Networking as an alternative network for 5G network traffic is required to be able to provide better performance compared to other networks such as internet protocol networks. In NDN wireless, it is known that there is producer mobility and consumer mobility, so optimal mobility management is needed, including the handover process. In this paper the author proposes a simple RSSI-based 5G handover algorithm with distance as a reference RSSI value. This algorithm is a preparation for the handover algorithm on the NDN wireless network. By using the assumed distance value MS to eNB as the basic value for calculating RSSI, handover determination is determined by comparing the RSSI value to the RSSI threshold value. With the scenario of different numbers of users and cluster sizes, from the handover process involving 8 eNB. It can be calculated how big the handover probability is for each user. From the simulation results, it can be concluded that the more users and the larger the cluster size, the greater the handover probability value. This is linear, with the wider the cluster, the probability of getting an RSSI signal from the original eNB becomes smaller, making it possible to get an RSSI signal from neighboring eNB, so that a handover occurs. © 2024 IEEE.

关键词： 5G mobile communication systems

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