A Simple Approach for Regenerating Electrolyzed Hydrogen Production Using Non-De-Ionized Water Sources.

This research focuses on using natural renewable water resources, filters, and performance recovery systems to reduce the cost of generating pure hydrogen for Proton Exchange Membrane Fuel Cells (PEMFCs). This study uses de-ionized (DI) water, tap water, and river water from upstream as the water source. Water from these sources passes through 1 μm PP filters, activated carbon, and reverse osmosis for filtering.

Correction to "On the Performance of Proton Exchange Membrane Fuel Cells with a Catalyst Layer Fabricated Using an Inorganic Dispersant with Various Ultrasonic Mixing".

[This corrects the article DOI: 10.1021/acsomega.1c05777.

On the Performance of Proton Exchange Membrane Fuel Cells with a Catalyst Layer Fabricated Using an Inorganic Dispersant with Various Ultrasonic Mixing.

This study utilizes both an inorganic dispersant, montmorillonite, and an organic dispersant (AS-1164) with 1.6 and 3.2 mg/cm platinum coatings that underwent various frequencies of ultrasonic mixing (40, 80, and 120 kHz) to fabricate proton exchange membrane fuel cells (PEMFCs).

Efficient architecture for spike sorting in reconfigurable hardware.

This paper presents a novel hardware architecture for fast spike sorting. The architecture is able to perform both the feature extraction and clustering in hardware. The generalized Hebbian algorithm (GHA) and fuzzy C-means (FCM) algorithm are used for feature extraction and clustering, respectively.

FPGA implementation of Generalized Hebbian Algorithm for texture classification.

This paper presents a novel hardware architecture for principal component analysis. The architecture is based on the Generalized Hebbian Algorithm (GHA) because of its simplicity and effectiveness. The architecture is separated into three portions: the weight vector updating unit, the principal computation unit and the memory unit.