The proceedings contain 73 papers. The topics discussed include: online error evaluation of capacitive voltage transformer based on improved temporal convolutional network autoencoder;novel design for a hybrid aerial ...
ISBN:
(纸本)9798350370003
The proceedings contain 73 papers. The topics discussed include: online error evaluation of capacitive voltage transformer based on improved temporal convolutional network autoencoder;novel design for a hybrid aerial underwater vehicle;design and experiment of safflower intelligent picking end effector system;a new mechanism designed for ophthalmic microsurgery and a method for identifying the home-length of 6-SPS Stewart platform;a robot navigation method using restricted minimum spanning tree;a fast frequency control based on extended Kalman filter using energy storage system;trajectory prediction method for high-speed aircraft based on unscented transformation;and analysis and solution of voltage rise phenomenon in small inductive current switching test of high voltage AC disconnector.
Reconfigurable-based obfuscation (REBO) techniques, such as eFPGA redaction, offer security against threats present in the globalized Integrated Circuit (IC) supply chain. Today, no attacks have succeeded in convincin...
详细信息
ISBN:
(数字)9783982674100
ISBN:
(纸本)9798331534646
Reconfigurable-based obfuscation (REBO) techniques, such as eFPGA redaction, offer security against threats present in the globalized Integrated Circuit (IC) supply chain. Today, no attacks have succeeded in convincingly or fully breaking these techniques. At best, previous attacks have provided vulnerability analysis or have partially recovered a key (bitstream). This paper presents a novel attack to break the security of REBO. We propose a new attack to retrieve the design's bitstream and assess the effectiveness of the attack using the HeLLO CTF benchmarks. The success rate of our attack is between 57% and 62%, superseding all previous known results on these benchmarks.
Kalman Filter (KF) is one of the most prominent algorithms to predict motion from measurements of brain activity. However, little effort has been made to optimize the KF for deployment in embedded brain-computer inter...
详细信息
ISBN:
(数字)9783982674100
ISBN:
(纸本)9798331534646
Kalman Filter (KF) is one of the most prominent algorithms to predict motion from measurements of brain activity. However, little effort has been made to optimize the KF for deployment in embedded brain-computer interfaces (BCIs). To address this challenge, we propose a new framework for designing KF hardware accelerators specialized for BCI, which facilitates design-space exploration by providing a tunable balance between latency and accuracy. Through FPGA-based experiments with brain data, we demonstrate improvements in both latency and accuracy compared to the state of the art.
The study focuses on the reliability and lifespan of Insulated Gate Bipolar Transistors (IGBTs), which play a vital role in renewable energy power generation systems. To assess the performance of IGBT-based power devi...
详细信息
Moving beyond the automation-driven paradigm of Industry 4.0, Industry 5.0 emphasizes human-centric industrial systems where human creativity and instincts complement precise and advanced machines. With this new parad...
详细信息
ISBN:
(数字)9783982674100
ISBN:
(纸本)9798331534646
Moving beyond the automation-driven paradigm of Industry 4.0, Industry 5.0 emphasizes human-centric industrial systems where human creativity and instincts complement precise and advanced machines. With this new paradigm, there is a growing need for resource-efficient and user-preferred manufac-turing solutions that integrate humans into industrial processes. Unfortunately, methodologies for incorporating human elements into industrial processes remain underdeveloped. In this work, we present the first pipeline for the creation of a human-centered Digital Twin (DT), leveraging Unreal Engine's MetaHuman technology to track worker alertness in real-time. Our findings demonstrate the potential of integrating Artificial Intelligence (AI) and human-centered design within Industry 5.0 to enhance both worker safety and industrial efficiency.
Runtime Verification (RV) and Anomaly Detection (AD) are crucial for ensuring the reliability of cyber-physical systems, but existing methods often suffer from high computational costs and lack of explainability. This...
详细信息
ISBN:
(数字)9783982674100
ISBN:
(纸本)9798331534646
Runtime Verification (RV) and Anomaly Detection (AD) are crucial for ensuring the reliability of cyber-physical systems, but existing methods often suffer from high computational costs and lack of explainability. This paper presents a novel approach that integrates formal methods into anomaly detection, transforming complex system models into efficient classification tasks. By combining the strengths of RV and AD, our method significantly improves detection efficiency while providing explainability for failure causes. Our approach offers a promising solution for enhancing the safety and reliability of critical systems.
Sparse general matrix multiplication (SpGEMM) is a crucial operation of deep neural networks (DNNs), leading to the development of numerous specialized SpGEMM accelerators. These accelerators leverage flexible interco...
详细信息
ISBN:
(数字)9783982674100
ISBN:
(纸本)9798331534646
Sparse general matrix multiplication (SpGEMM) is a crucial operation of deep neural networks (DNNs), leading to the development of numerous specialized SpGEMM accelerators. These accelerators leverage flexible interconnects, thereby outperforming their rigid counterparts. However, the suboptimal utilization of sparsity patterns limits overall performance efficiency. In this work, we propose DuSGAI, a sparse GEMM accelerator that employs a parallel index intersection structure to utilize dual-side sparsity. Our evaluation of DuSGAI with five popular DNN models demonstrates a 3.03× performance improvement compared to the state-of-the-art SpGEMM accelerator.
The biomedical field relies on cost and time intensive systematic reviews of papers to enable practitioners to keep up to date with research. Impressive recent advances in large language models (LLMs) have made the ta...
详细信息
ISBN:
(纸本)9798891760974
The biomedical field relies on cost and time intensive systematic reviews of papers to enable practitioners to keep up to date with research. Impressive recent advances in large language models (LLMs) have made the task of automating at least part of the systematic review process feasible, but progress is slow. This paper identifies some factors that may have been holding research back, and proposes a new, enhanced dataset and prompting-based method for automatic synthesis generation, the most challenging step for automation. We test different models and types of information from and about biomedical studies for their usefulness in obtaining high-quality results. We find that, surprisingly, inclusion of paper abstracts can worsens results. Instead, study summary information, and system instructions informed by domain knowledge, are key to producing high-quality syntheses.
ReRAM-based Processor-In-Memory (PIM) architectures have demonstrated their ability to accelerate the matrix multiplication performed by the Transformer. However, these approaches often shift the performance bottlenec...
详细信息
ISBN:
(数字)9783982674100
ISBN:
(纸本)9798331534646
ReRAM-based Processor-In-Memory (PIM) architectures have demonstrated their ability to accelerate the matrix multiplication performed by the Transformer. However, these approaches often shift the performance bottleneck from the attention mechanism to the softmax computation. Moreover, data sharding, commonly employed for acceleration, hinters the Transformer's ability to find global softmax value. This paper proposes SegTransformer, a ReRAM-based PIM accelerator that improves softmax performance with high accuracy through segmentation techniques. Experimental results indicate that the SegTransformer significantly outperforms state-of-the-art Transformer accelerators.
This paper makes use of the powerful interface development ability of Visual C# and the numerical operation ability of Matlab, and uses the mixed programming technology of Matlab and Visual C# for software programming...
详细信息
暂无评论