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Kinetic analysis of liquid-solid contact electrification: Using adsorption models as mechanistic probes for hybrid EDL behavior
Liquid-solid interfaces are central to technologies ranging from energy storage to triboelectric nanogenerators (TENGs). Whereas classical electric double layer (EDL) theory describes these interfaces mainly in terms of electrostatic ion adsorption, hybrid EDL concepts suggest that interfacial electron transfer may also contribute importantly to charge generation. However, the hybrid EDL model has so far been discussed primarily at a qualitative level or through complex theoretical and computati
2026-08
Data-driven disturbance compensation for core-type linear motors using TISO-GPR integrated with disturbance observers
An integrated control structure that combines Gaussian process regression (GPR) and a disturbance observer (DOB) is proposed for a core-type linear motor that is affected by patterned disturbance and model mismatch. The conventional controller is a DOB-based feedforward/feedback structure, and the compensation performance is limited by the fixed bandwidth of the Q-filter and the estimation bias that appears under model uncertainty. In addition, the effective frequency is shifted by the motion ve
2026-08
BlockPIM: Enabling Sparse LLM Inference on Dense PIM Architectures
Large Language Models (LLMs) have intensified the memory wall during inference, where performance is increasingly limited by memory bandwidth rather than computation. While Processing-In-Memory (PIM) and model compression techniques mitigate this issue, existing sparse PIM designs rely on CSR/COO formats that assume ultra-high sparsity (e.g., >90%), which is difficult to achieve in practical LLMs without significant accuracy loss. Moreover, fine-grained indexing introduces substantial metadata o
2026-07
NDPool: Correctness-Preserving Shared Execution for Efficient LLM Inference on CXL-NDP Systems
The inference performance of Large Language Models (LLMs) is increasingly constrained by memory capacity and bandwidth rather than raw computation, particularly for long-context workloads. CXL-based Near-Data Processing (CXL-NDP) has emerged as a promising solution for expanding memory capacity, but existing systems suffer from severe resource under-utilization due to exclusive device allocation under hybrid parallel execution. To minimize per-request latency, prior designs dedicate multiple NDP
2026-07
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Edge-Server Workload Characterization in Vehicular Computation Offloading: Semantics and Empirical Analysis
Edge server-assisted computation offloading enables vehicles to leverage server compute resources to deliver connected services, overcoming the limitations of onboard resources. Understanding the compute workloads of edge servers is crucial for effective resource management and scheduling, yet this task is challenging due to the complex interplay of factors such as vehicle mobility and computation offloading patterns. To address this, we propose an empirical analysis framework that systematicall
2024-06
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Recent Advances in Ultra-High-Speed Wireline Receivers with ADC-DSP-Based Equalizers
High-speed wireline data transceivers (TRX) with analog-to-digital converter (ADC) followed by digital signal processor (DSP) on the receiver (RX) equalizer became popular for applications requiring >100 Gb/s per-lane data rate over long-reach (LR) channels, especially for datacenter applications. With the digital-to-analog converter (DAC)-based transmitter (TX) including DSP-based TX signal processing, the overall structure of DAC/ADC-DSP-based wireline TRXs became similar to modulator/demodula
2024-11
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A 0.05 mm3 diode-based single charged-particle real-time radiation detector for electron radiotherapy
Real-time radiation monitoring at the single-particle level is an unmet need for electron radiotherapy, especially for dose deposition to targets in motion or critical OARs. We have developed a first-in-class CMOS-based 0.05 mm3 single electron sensitive detector. The chiplet integrates all the requisite electronics. The functionality of the system is verified under 6 and 9 MeV clinical electron beams. Percentage depth vs. pulse-width curves for 6 and 9 MeV beams are measured and verified using
2025-04
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Empirical Analysis of MAVLink Protocol Vulnerability for Attacking Unmanned Aerial Vehicles
Recently, unmanned aerial vehicles (UAVs), or the so-called drones, have been used in various applications. In particular, UAVs are used for rescue systems, disaster detection, and military purposes, as well as for leisure and commercial purposes. UAVs that are controlled over networks by ground control stations (GCS) can provide various services with expanded activity area. It is thus of critical importance to investigate the vulnerability of the drone system. In this paper, we focus on UAVs co
2018-08
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