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Semiconducting poly(3-hexylthiophene) (P3HT)-functionalized rayon for hybrid mechanical-thermal energy harvesting in fabric triboelectric nanogenerators
The fabric triboelectric nanogenerator (F-TENG) is emerging as a promising nanogenerator platform for wearable electronics and electronic textiles. In this work, a modified fabric incorporating the semiconductor polymer poly (3-hexylthiophene) (P3HT) is designed to address the limited output performance by harvesting frictiongenerated waste heat in addition to mechanical energy. The P3HT is incorporated into rayon fabric via a simple coating process, enabling the fabric to function as a dual mec
2026-01
Tribo-thermoelectric energy harvesting in Ag2Se-modified rayon fabric triboelectric nanogenerators
Incorporating inorganic semiconductors into fabric triboelectric nanogenerators (F-TENG) offers a pathway to mitigate charge-density saturation effects and enhance charge generation. By explicitly exploiting friction-induced temperature gradients within the fabric, this study introduces a tribo-thermoelectric textile concept that goes beyond purely triboelectric F-TENG architectures. In this work, n-type silver selenide (Ag2Se) is integrated into a rayon fabric matrix to harvest mechanical energ
2026-10
Structure-Engineered Nanoporous Vanadium Oxide Memristors for Reconfigurable Synapse-Neuron Integration and Synergistic Robotic Motion
Neuromorphic sensory-to-motor interfaces require compact devices that can combine nonvolatile synaptic weight storage with volatile neuronal firing, yet these functions typically rely on distinct material and circuit mechanisms. Here, we report a structure-engineered VOy/nanoporous VOx heterostructure that enables electrically selectable nonvolatile and volatile switching within a vanadium oxide memristor platform. Annealing-induced interfacial diffusion and oxidation produce an asymmetric stack
2026-10
Multi-modality image fusion model of AFM-derived extracellular vesicles for NSCLC subtype diagnosis
Non-small cell lung cancer (NSCLC) comprises multiple subtypes with distinct treatment strategies, making accurate subtype classification important. Therefore, this study aims to develop a multi-modality AFM-based deep learning model to improve NSCLC subtype diagnosis because extracellular vesicles (EVs) measured by atomic force microscopy (AFM) contain nanoscale biophysical information with diagnostic potential. The proposed model introduces two key components: (i) an intra-image feature extrac
2026-10
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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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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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Low-Cost and Easy-to-Build Soft Robotic Skin for Safe and Contact-Rich Human - Robot Collaboration
Although many soft robotic skins have been introduced, their use has been hindered due to practical limitations, such as difficulties in manufacturing, poor accessibility, and cost inefficiency. To solve this, we present a low-cost, easy-to-build soft robotic skin utilizing air-pressure sensors and 3D-printed pads. In our approach, we utilized digital fabrication and robot operating system (ROS) to facilitate the creation and use of the robotic skin. The skin pad was fabricated by printing therm
2024-03
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